diff --git a/.pre-commit-config.yaml b/.pre-commit-config.yaml
index 97e7e497..cb443f6f 100644
--- a/.pre-commit-config.yaml
+++ b/.pre-commit-config.yaml
@@ -27,6 +27,7 @@ repos:
     rev: v0.1.9
     hooks:
       -  id: ruff
+         args: [ --fix ]
       -  id: ruff-format
 -   repo: meta
     hooks:
diff --git a/pyproject.toml b/pyproject.toml
index 7f97fffb..64903411 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -79,7 +79,7 @@ select = [
   "W", # pycodestyle warn
   "C90", # mccabe
   "I", # isort
-  # "N", # pep8-naming, to add
+  "N", # pep8-naming, to add
   # "D", # pydocstyle, to add
   "UP", # pyupgrade
   "YTT", # flake8-2020
diff --git a/src/icclim/__init__.py b/src/icclim/__init__.py
index 181758fb..cf98e87e 100644
--- a/src/icclim/__init__.py
+++ b/src/icclim/__init__.py
@@ -1,4 +1,4 @@
-"""Python library for climate indices calculation"""
+"""Python library for climate indices calculation."""
 
 from icclim._generated_api import *  # noqa: F403 (add api to be in icclim module)
 from icclim.generic_indices.threshold import build_threshold
diff --git a/src/icclim/_generated_api.py b/src/icclim/_generated_api.py
index cf33247a..0f88e01f 100644
--- a/src/icclim/_generated_api.py
+++ b/src/icclim/_generated_api.py
@@ -1,4 +1,4 @@
-# ruff: noqa: A001, E501
+# ruff: noqa: A001, E501, N803
 """
 icclim's API for ECAD indices and generic indices.
 
@@ -125,7 +125,7 @@ def count_occurrences(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """count_occurrences
+    """count_occurrences.
 
     Count occurrences where threshold(s) are met (e.g. SU, Tx90p, RR1).
 
@@ -220,7 +220,7 @@ def max_consecutive_occurrence(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """max_consecutive_occurrence
+    """max_consecutive_occurrence.
 
     Count the maximum number of consecutive occurrences when threshold(s) are met (e.g. CDD, CSU, CWD).
 
@@ -316,7 +316,7 @@ def sum_of_spell_lengths(
     date_event: bool = False,
     min_spell_length: int | None = 6,
 ) -> Dataset:
-    """sum_of_spell_lengths
+    """sum_of_spell_lengths.
 
     Sum the lengths of each consecutive occurrence spell when threshold(s) are met. The minimum spell length is controlled by `min_spell_length` (e.g. WSDI, CSDI).
 
@@ -415,7 +415,7 @@ def excess(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """excess
+    """excess.
 
     Compute the excess over the given threshold. The excess is `sum(x[x>t] - t)` where x is the studied variable and t the threshold (e.g. GD4).
 
@@ -510,7 +510,7 @@ def deficit(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """deficit
+    """deficit.
 
     Compute the deficit below the given threshold. The deficit is `sum(t - x[x<t])` where x is the studied variable and t the threshold (e.g. HD17).
 
@@ -605,7 +605,7 @@ def fraction_of_total(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """fraction_of_total
+    """fraction_of_total.
 
     Compute the fraction of values meeting threshold(s) over the sum of every values (e.g. R75pTOT, R95pTOT).
 
@@ -700,7 +700,7 @@ def maximum(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """maximum
+    """maximum.
 
     Maximum of values that met threshold(s), if threshold(s) are given (e.g. Txx, Tnx).
 
@@ -795,7 +795,7 @@ def minimum(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """minimum
+    """minimum.
 
     Minimum of values that met threshold(s), if threshold(s) are given (e.g. Txn, Tnn).
 
@@ -890,7 +890,7 @@ def average(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """average
+    """average.
 
     Average of values that met threshold(s), if threshold(s) are given (e.g. Tx, Tn)
 
@@ -985,7 +985,7 @@ def sum(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """sum
+    """sum.
 
     Sum of values that met threshold(s), if threshold(s) are given (e.g. PRCPTOT, RR).
 
@@ -1080,7 +1080,7 @@ def standard_deviation(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """standard_deviation
+    """standard_deviation.
 
     Standard deviation of values that met threshold(s), if threshold(s) are given.
 
@@ -1176,7 +1176,7 @@ def max_of_rolling_sum(
     date_event: bool = False,
     rolling_window_width: int | None = 5,
 ) -> Dataset:
-    """max_of_rolling_sum
+    """max_of_rolling_sum.
 
     Maximum of rolling sum over time dimension (e.g. RX5DAY: maximum 5 days window of precipitation accumulation).
 
@@ -1276,7 +1276,7 @@ def min_of_rolling_sum(
     date_event: bool = False,
     rolling_window_width: int | None = 5,
 ) -> Dataset:
-    """min_of_rolling_sum
+    """min_of_rolling_sum.
 
     Minimum of rolling sum over time dimension.
 
@@ -1376,7 +1376,7 @@ def max_of_rolling_average(
     date_event: bool = False,
     rolling_window_width: int | None = 5,
 ) -> Dataset:
-    """max_of_rolling_average
+    """max_of_rolling_average.
 
     Maximum of rolling average over time dimension.
 
@@ -1476,7 +1476,7 @@ def min_of_rolling_average(
     date_event: bool = False,
     rolling_window_width: int | None = 5,
 ) -> Dataset:
-    """min_of_rolling_average
+    """min_of_rolling_average.
 
     Minimum of rolling average over time dimension.
 
@@ -1575,7 +1575,7 @@ def mean_of_difference(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """mean_of_difference
+    """mean_of_difference.
 
     Average of the difference between two variables, or one variable and it's reference period values (e.g. DTR: `mean(tasmax - tasmin)`).
 
@@ -1670,7 +1670,7 @@ def difference_of_extremes(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """difference_of_extremes
+    """difference_of_extremes.
 
     Difference of extremes between two variables, or one variable and it's reference period values. The extremes are always `maximum` for the first variable and `minimum` for the second variable (e.g. ETR: `max(tasmax) - min(tasmin)`).
 
@@ -1765,7 +1765,7 @@ def mean_of_absolute_one_time_step_difference(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """mean_of_absolute_one_time_step_difference
+    """mean_of_absolute_one_time_step_difference.
 
     Average of the absolute one time step by one time step difference between two variables, or one variable and it's reference period values (e.g. vDTR: `mean((tasmax[i] - tasmin[i]) - (tasmax[i-1] - tasmin[i-1])` ; where i is the day of measure).
 
@@ -1861,7 +1861,7 @@ def difference_of_means(
     date_event: bool = False,
     sampling_method: SamplingMethodLike = "resample",
 ) -> Dataset:
-    """difference_of_means
+    """difference_of_means.
 
     Difference of the average between two variables, or one variable and it's reference period values (e.g. anomaly: `mean(tasmax) - mean(tasmax_ref]))`.
 
@@ -1962,9 +1962,9 @@ def tg(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TG
+    """TG.
 
-    Mean of daily mean temperature
+    Mean of daily mean temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2042,9 +2042,9 @@ def tn(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TN
+    """TN.
 
-    Mean of daily minimum temperature
+    Mean of daily minimum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2122,9 +2122,9 @@ def tx(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TX
+    """TX.
 
-    Mean of daily maximum temperature
+    Mean of daily maximum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2202,9 +2202,9 @@ def dtr(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """DTR
+    """DTR.
 
-    Mean Diurnal Temperature Range
+    Mean Diurnal Temperature Range.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2282,9 +2282,9 @@ def etr(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """ETR
+    """ETR.
 
-    Intra-period extreme temperature range
+    Intra-period extreme temperature range.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2362,9 +2362,9 @@ def vdtr(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """vDTR
+    """vDTR.
 
-    Mean day-to-day variation in Diurnal Temperature Range
+    Mean day-to-day variation in Diurnal Temperature Range.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2442,9 +2442,9 @@ def su(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SU
+    """SU.
 
-    Number of Summer Days (Tmax > 25C)
+    Number of Summer Days (Tmax > 25C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2525,9 +2525,9 @@ def tr(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TR
+    """TR.
 
-    Number of Tropical Nights (Tmin > 20C)
+    Number of Tropical Nights (Tmin > 20C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2612,9 +2612,9 @@ def wsdi(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """WSDI
+    """WSDI.
 
-    Warm-spell duration index (days)
+    Warm-spell duration index (days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2731,9 +2731,9 @@ def tg90p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TG90p
+    """TG90p.
 
-    Days when Tmean > 90th percentile
+    Days when Tmean > 90th percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2850,9 +2850,9 @@ def tn90p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TN90p
+    """TN90p.
 
-    Days when Tmin > 90th percentile
+    Days when Tmin > 90th percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -2969,9 +2969,9 @@ def tx90p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TX90p
+    """TX90p.
 
-    Days when Tmax > 90th daily percentile
+    Days when Tmax > 90th daily percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3084,9 +3084,9 @@ def txx(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TXx
+    """TXx.
 
-    Maximum daily maximum temperature
+    Maximum daily maximum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3164,9 +3164,9 @@ def tnx(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TNx
+    """TNx.
 
-    Maximum daily minimum temperature
+    Maximum daily minimum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3244,9 +3244,9 @@ def csu(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CSU
+    """CSU.
 
-    Maximum number of consecutive summer days (Tmax >25 C)
+    Maximum number of consecutive summer days (Tmax >25 C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3327,9 +3327,9 @@ def gd4(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """GD4
+    """GD4.
 
-    Growing degree days (sum of Tmean > 4 C)
+    Growing degree days (sum of Tmean > 4 C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3410,9 +3410,9 @@ def fd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """FD
+    """FD.
 
-    Number of Frost Days (Tmin < 0C)
+    Number of Frost Days (Tmin < 0C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3493,9 +3493,9 @@ def cfd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CFD
+    """CFD.
 
-    Maximum number of consecutive frost days (Tmin < 0 C)
+    Maximum number of consecutive frost days (Tmin < 0 C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3576,9 +3576,9 @@ def hd17(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """HD17
+    """HD17.
 
-    Heating degree days (sum of Tmean < 17 C)
+    Heating degree days (sum of Tmean < 17 C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3659,9 +3659,9 @@ def id(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """ID
+    """ID.
 
-    Number of sharp Ice Days (Tmax < 0C)
+    Number of sharp Ice Days (Tmax < 0C).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3746,9 +3746,9 @@ def tg10p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TG10p
+    """TG10p.
 
-    Days when Tmean < 10th percentile
+    Days when Tmean < 10th percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3865,9 +3865,9 @@ def tn10p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TN10p
+    """TN10p.
 
-    Days when Tmin < 10th percentile
+    Days when Tmin < 10th percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -3984,9 +3984,9 @@ def tx10p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TX10p
+    """TX10p.
 
-    Days when Tmax < 10th percentile
+    Days when Tmax < 10th percentile.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4099,9 +4099,9 @@ def txn(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TXn
+    """TXn.
 
-    Minimum daily maximum temperature
+    Minimum daily maximum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4179,9 +4179,9 @@ def tnn(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """TNn
+    """TNn.
 
-    Minimum daily minimum temperature
+    Minimum daily minimum temperature.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4263,9 +4263,9 @@ def csdi(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CSDI
+    """CSDI.
 
-    Cold-spell duration index (days)
+    Cold-spell duration index (days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4378,9 +4378,9 @@ def cdd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CDD
+    """CDD.
 
-    Maximum consecutive dry days (Precip < 1mm)
+    Maximum consecutive dry days (Precip < 1mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4461,9 +4461,9 @@ def prcptot(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """PRCPTOT
+    """PRCPTOT.
 
-    Total precipitation during Wet Days
+    Total precipitation during Wet Days.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4544,9 +4544,9 @@ def rr1(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """RR1
+    """RR1.
 
-    Number of Wet Days (precip >= 1 mm)
+    Number of Wet Days (precip >= 1 mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4627,9 +4627,9 @@ def sdii(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SDII
+    """SDII.
 
-    Average precipitation during Wet Days (SDII)
+    Average precipitation during Wet Days (SDII).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4710,9 +4710,9 @@ def cwd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CWD
+    """CWD.
 
-    Maximum consecutive wet days (Precip >= 1mm)
+    Maximum consecutive wet days (Precip >= 1mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4793,9 +4793,9 @@ def rr(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """RR
+    """RR.
 
-    Precipitation sum (mm)
+    Precipitation sum (mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4873,9 +4873,9 @@ def r10mm(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R10mm
+    """R10mm.
 
-    Number of heavy precipitation days (Precip >=10mm)
+    Number of heavy precipitation days (Precip >=10mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -4956,9 +4956,9 @@ def r20mm(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R20mm
+    """R20mm.
 
-    Number of very heavy precipitation days (Precip >= 20mm)
+    Number of very heavy precipitation days (Precip >= 20mm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5039,9 +5039,9 @@ def rx1day(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """RX1day
+    """RX1day.
 
-    maximum 1-day total precipitation
+    maximum 1-day total precipitation.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5119,9 +5119,9 @@ def rx5day(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """RX5day
+    """RX5day.
 
-    maximum 5-day total precipitation
+    maximum 5-day total precipitation.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5203,9 +5203,9 @@ def r75p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R75p
+    """R75p.
 
-    Days with RR > 75th percentile of daily amounts (moderate wet days) (d)
+    Days with RR > 75th percentile of daily amounts. (moderate wet days) (d)
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5323,9 +5323,9 @@ def r75ptot(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R75pTOT
+    """R75pTOT.
 
-    Precipitation fraction due to moderate wet days (> 75th percentile)
+    Precipitation fraction due to moderate wet days. (> 75th percentile)
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5443,9 +5443,9 @@ def r95p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R95p
+    """R95p.
 
-    Days with RR > 95th percentile of daily amounts (very wet days) (days)
+    Days with RR > 95th percentile of daily amounts. (very wet days) (days)
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5563,9 +5563,9 @@ def r95ptot(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R95pTOT
+    """R95pTOT.
 
-    Precipitation fraction due to very wet days (> 95th percentile)
+    Precipitation fraction due to very wet days (> 95th percentile).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5683,9 +5683,9 @@ def r99p(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R99p
+    """R99p.
 
-    Days with RR > 99th percentile of daily amounts (extremely wet days)
+    Days with RR > 99th percentile of daily amounts. (extremely wet days)
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5803,9 +5803,9 @@ def r99ptot(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """R99pTOT
+    """R99pTOT.
 
-    Precipitation fraction due to extremely wet days (> 99th percentile)
+    Precipitation fraction due to extremely wet days. (> 99th percentile)
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5919,9 +5919,9 @@ def sd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SD
+    """SD.
 
-    Mean of daily snow depth
+    Mean of daily snow depth.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -5999,9 +5999,9 @@ def sd1(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SD1
+    """SD1.
 
-    Snow days (SD >= 1 cm)
+    Snow days (SD >= 1 cm).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6082,9 +6082,9 @@ def sd5cm(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SD5cm
+    """SD5cm.
 
-    Number of days with snow depth >= 5 cm
+    Number of days with snow depth >= 5 cm.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6165,9 +6165,9 @@ def sd50cm(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SD50cm
+    """SD50cm.
 
-    Number of days with snow depth >= 50 cm
+    Number of days with snow depth >= 50 cm.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6252,9 +6252,9 @@ def cd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CD
+    """CD.
 
-    Days with TG < 25th percentile of daily mean temperature and RR <25th percentile of daily precipitation sum (cold/dry days)
+    Days with TG < 25th percentile of daily mean temperature and RR <25th percentile of daily precipitation sum (cold/dry days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6381,9 +6381,9 @@ def cw(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """CW
+    """CW.
 
-    Days with TG < 25th percentile of daily mean temperature and RR >75th percentile of daily precipitation sum (cold/wet days)
+    Days with TG < 25th percentile of daily mean temperature and RR >75th percentile of daily precipitation sum (cold/wet days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6510,9 +6510,9 @@ def wd(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """WD
+    """WD.
 
-    Days with TG > 75th percentile of daily mean temperature and RR <25th percentile of daily precipitation sum (warm/dry days)
+    Days with TG > 75th percentile of daily mean temperature and RR <25th percentile of daily precipitation sum (warm/dry days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6639,9 +6639,9 @@ def ww(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """WW
+    """WW.
 
-    Days with TG > 75th percentile of daily mean temperature and RR >75th percentile of daily precipitation sum (warm/wet days)
+    Days with TG > 75th percentile of daily mean temperature and RR >75th percentile of daily precipitation sum (warm/wet days).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6764,9 +6764,9 @@ def fxx(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """FXx
+    """FXx.
 
-    Maximum value of daily maximum wind gust
+    Maximum value of daily maximum wind gust.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6844,9 +6844,9 @@ def fg6bft(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """FG6Bft
+    """FG6Bft.
 
-    Days with daily averaged wind ≥ 6 Bft (10.8 m s-1)
+    Days with daily averaged wind ≥ 6 Bft (10.8 m s-1).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -6927,9 +6927,9 @@ def fgcalm(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """FGcalm
+    """FGcalm.
 
-    Calm days, days with daily averaged wind <= 2 m s-1
+    Calm days, days with daily averaged wind <= 2 m s-1.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7010,9 +7010,9 @@ def fg(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """FG
+    """FG.
 
-    Mean of daily mean wind strength
+    Mean of daily mean wind strength.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7090,9 +7090,9 @@ def ddnorth(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """DDnorth
+    """DDnorth.
 
-    Days with northerly winds (DD > 315° or DD ≤ 45°)
+    Days with northerly winds (DD > 315° or DD ≤ 45°).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7173,9 +7173,9 @@ def ddeast(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """DDeast
+    """DDeast.
 
-    Days with easterly winds (45° < DD <= 135°)
+    Days with easterly winds (45° < DD <= 135°).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7256,9 +7256,9 @@ def ddsouth(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """DDsouth
+    """DDsouth.
 
-    Days with southerly winds (135° < DD <= 225°)
+    Days with southerly winds (135° < DD <= 225°).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7339,9 +7339,9 @@ def ddwest(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """DDwest
+    """DDwest.
 
-    Days with westerly winds (225° < DD <= 315°)
+    Days with westerly winds (225° < DD <= 315°).
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7422,9 +7422,9 @@ def gsl(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """GSL
+    """GSL.
 
-    Growing season length
+    Growing season length.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7503,9 +7503,9 @@ def spi6(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SPI6
+    """SPI6.
 
-    6-Month Standardized Precipitation Index
+    6-Month Standardized Precipitation Index.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
@@ -7599,9 +7599,9 @@ def spi3(
     logs_verbosity: Verbosity | str = "LOW",
     date_event: bool = False,
 ) -> Dataset:
-    """SPI3
+    """SPI3.
 
-    3-Month Standardized Precipitation Index
+    3-Month Standardized Precipitation Index.
     Source: ECA&D, Algorithm Theoretical Basis Document (ATBD) v11.
 
     Parameters
diff --git a/src/icclim/ecad/ecad_indices.py b/src/icclim/ecad/ecad_indices.py
index ed2727dd..c4c0670e 100644
--- a/src/icclim/ecad/ecad_indices.py
+++ b/src/icclim/ecad/ecad_indices.py
@@ -1,6 +1,6 @@
 from __future__ import annotations
 
-from icclim.ecad.xclim_binding import XCLIM_BINDING
+from icclim.ecad.xclim_binding import XclimBinding
 from icclim.generic_indices.generic_indicators import GenericIndicatorRegistry
 from icclim.generic_indices.standard_variable import StandardVariableRegistry
 from icclim.generic_indices.threshold import build_threshold
@@ -35,7 +35,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Average,
         output_unit="degree_Celsius",
-        definition="Mean of daily mean temperature",
+        definition="Mean of daily mean temperature.",
         source=ECAD_ATBD,
         short_name="TG",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -45,7 +45,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Average,
         output_unit="degree_Celsius",
-        definition="Mean of daily minimum temperature",
+        definition="Mean of daily minimum temperature.",
         source=ECAD_ATBD,
         short_name="TN",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -55,7 +55,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Average,
         output_unit="degree_Celsius",
-        definition="Mean of daily maximum temperature",
+        definition="Mean of daily maximum temperature.",
         source=ECAD_ATBD,
         short_name="TX",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -65,7 +65,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.MeanOfDifference,
         output_unit="degree_Celsius",
-        definition="Mean Diurnal Temperature Range",
+        definition="Mean Diurnal Temperature Range.",
         source=ECAD_ATBD,
         short_name="DTR",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -78,7 +78,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.DifferenceOfExtremes,
         output_unit="degree_Celsius",
-        definition="Intra-period extreme temperature range",
+        definition="Intra-period extreme temperature range.",
         source=ECAD_ATBD,
         short_name="ETR",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -91,7 +91,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.MeanOfAbsoluteOneTimeStepDifference,
         output_unit="degree_Celsius",
-        definition="Mean day-to-day variation in Diurnal Temperature Range",
+        definition="Mean day-to-day variation in Diurnal Temperature Range.",
         source=ECAD_ATBD,
         short_name="vDTR",
         group=IndexGroupRegistry.TEMPERATURE,
@@ -105,7 +105,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.CountOccurrences,
         output_unit="day",
-        definition="Number of Summer Days (Tmax > 25C)",
+        definition="Number of Summer Days (Tmax > 25C).",
         source=ECAD_ATBD,
         short_name="SU",
         threshold="> 25 degree_Celsius",
@@ -117,7 +117,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.CountOccurrences,
         output_unit="day",
-        definition="Number of Tropical Nights (Tmin > 20C)",
+        definition="Number of Tropical Nights (Tmin > 20C).",
         source=ECAD_ATBD,
         short_name="TR",
         threshold="> 20 degree_Celsius",
@@ -129,7 +129,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.SumOfSpellLengths,
         output_unit="day",
-        definition="Warm-spell duration index (days)",
+        definition="Warm-spell duration index (days).",
         source=ECAD_ATBD,
         short_name="WSDI",
         threshold="> 90 doy_per",
@@ -143,7 +143,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.CountOccurrences,
         output_unit="day",
-        definition="Days when Tmean > 90th percentile",
+        definition="Days when Tmean > 90th percentile.",
         threshold="> 90 doy_per",
         source=ECAD_ATBD,
         short_name="TG90p",
@@ -156,7 +156,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.CountOccurrences,
         output_unit="day",
-        definition="Days when Tmin > 90th percentile",
+        definition="Days when Tmin > 90th percentile.",
         threshold="> 90 doy_per",
         source=ECAD_ATBD,
         short_name="TN90p",
@@ -170,7 +170,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="> 90 doy_per",
         output_unit="day",
-        definition="Days when Tmax > 90th daily percentile",
+        definition="Days when Tmax > 90th daily percentile.",
         source=ECAD_ATBD,
         short_name="TX90p",
         group=IndexGroupRegistry.HEAT,
@@ -182,7 +182,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Maximum,
         output_unit="degree_Celsius",
-        definition="Maximum daily maximum temperature",
+        definition="Maximum daily maximum temperature.",
         source=ECAD_ATBD,
         short_name="TXx",
         group=IndexGroupRegistry.HEAT,
@@ -192,7 +192,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Maximum,
         output_unit="degree_Celsius",
-        definition="Maximum daily minimum temperature",
+        definition="Maximum daily minimum temperature.",
         source=ECAD_ATBD,
         short_name="TNx",
         group=IndexGroupRegistry.HEAT,
@@ -203,7 +203,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.MaxConsecutiveOccurrence,
         threshold="> 25 degree_Celsius",
         output_unit="day",
-        definition="Maximum number of consecutive summer days (Tmax >25 C)",
+        definition="Maximum number of consecutive summer days (Tmax >25 C).",
         source=ECAD_ATBD,
         short_name="CSU",
         group=IndexGroupRegistry.HEAT,
@@ -216,7 +216,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.Excess,
         threshold="4 degree_Celsius",
         output_unit="degree_Celsius day",
-        definition="Growing degree days (sum of Tmean > 4 C)",
+        definition="Growing degree days (sum of Tmean > 4 C).",
         source=ECAD_ATBD,
         short_name="GD4",
         group=IndexGroupRegistry.COLD,
@@ -228,7 +228,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="< 0 degree_Celsius",
         output_unit="day",
-        definition="Number of Frost Days (Tmin < 0C)",
+        definition="Number of Frost Days (Tmin < 0C).",
         source=ECAD_ATBD,
         short_name="FD",
         group=IndexGroupRegistry.COLD,
@@ -240,7 +240,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.MaxConsecutiveOccurrence,
         threshold="< 0 degree_Celsius",
         output_unit="day",
-        definition="Maximum number of consecutive frost days (Tmin < 0 C)",
+        definition="Maximum number of consecutive frost days (Tmin < 0 C).",
         source=ECAD_ATBD,
         short_name="CFD",
         group=IndexGroupRegistry.COLD,
@@ -252,7 +252,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.Deficit,
         threshold="17 degree_Celsius",
         output_unit="degree_Celsius day",
-        definition="Heating degree days (sum of Tmean < 17 C)",
+        definition="Heating degree days (sum of Tmean < 17 C).",
         source=ECAD_ATBD,
         short_name="HD17",
         group=IndexGroupRegistry.COLD,
@@ -264,7 +264,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="< 0 degree_Celsius",
         output_unit="day",
-        definition="Number of sharp Ice Days (Tmax < 0C)",
+        definition="Number of sharp Ice Days (Tmax < 0C).",
         source=ECAD_ATBD,
         short_name="ID",
         group=IndexGroupRegistry.COLD,
@@ -276,7 +276,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="< 10 doy_per",
         output_unit="day",
-        definition="Days when Tmean < 10th percentile",
+        definition="Days when Tmean < 10th percentile.",
         source=ECAD_ATBD,
         short_name="TG10p",
         group=IndexGroupRegistry.COLD,
@@ -289,7 +289,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="< 10 doy_per",
         output_unit="day",
-        definition="Days when Tmin < 10th percentile",
+        definition="Days when Tmin < 10th percentile.",
         source=ECAD_ATBD,
         short_name="TN10p",
         group=IndexGroupRegistry.COLD,
@@ -302,7 +302,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="< 10 doy_per",
         output_unit="day",
-        definition="Days when Tmax < 10th percentile",
+        definition="Days when Tmax < 10th percentile.",
         source=ECAD_ATBD,
         short_name="TX10p",
         group=IndexGroupRegistry.COLD,
@@ -314,7 +314,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Minimum,
         output_unit="degree_Celsius",
-        definition="Minimum daily maximum temperature",
+        definition="Minimum daily maximum temperature.",
         source=ECAD_ATBD,
         short_name="TXn",
         group=IndexGroupRegistry.COLD,
@@ -324,7 +324,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Minimum,
         output_unit="degree_Celsius",
-        definition="Minimum daily minimum temperature",
+        definition="Minimum daily minimum temperature.",
         source=ECAD_ATBD,
         short_name="TNn",
         group=IndexGroupRegistry.COLD,
@@ -335,7 +335,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.SumOfSpellLengths,
         threshold="< 10 doy_per",
         output_unit="day",
-        definition="Cold-spell duration index (days)",
+        definition="Cold-spell duration index (days).",
         source=ECAD_ATBD,
         short_name="CSDI",
         group=IndexGroupRegistry.COLD,
@@ -350,7 +350,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.MaxConsecutiveOccurrence,
         threshold="< 1 mm/day",
         output_unit="day",
-        definition="Maximum consecutive dry days (Precip < 1mm)",
+        definition="Maximum consecutive dry days (Precip < 1mm).",
         source=ECAD_ATBD,
         short_name="CDD",
         group=IndexGroupRegistry.DROUGHT,
@@ -362,7 +362,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.Sum,
         threshold=">= 1 mm/day",
         output_unit="mm",
-        definition="Total precipitation during Wet Days",
+        definition="Total precipitation during Wet Days.",
         source=ECAD_ATBD,
         short_name="PRCPTOT",
         group=IndexGroupRegistry.RAIN,
@@ -373,7 +373,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 1 mm/day",
         output_unit="day",
-        definition="Number of Wet Days (precip >= 1 mm)",
+        definition="Number of Wet Days (precip >= 1 mm).",
         source=ECAD_ATBD,
         short_name="RR1",
         group=IndexGroupRegistry.RAIN,
@@ -384,7 +384,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.Average,
         threshold=">= 1 mm/day",
         output_unit="mm/day",
-        definition="Average precipitation during Wet Days (SDII)",
+        definition="Average precipitation during Wet Days (SDII).",
         source=ECAD_ATBD,
         short_name="SDII",
         group=IndexGroupRegistry.RAIN,
@@ -395,7 +395,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.MaxConsecutiveOccurrence,
         threshold=">= 1 mm/day",
         output_unit="day",
-        definition="Maximum consecutive wet days (Precip >= 1mm)",
+        definition="Maximum consecutive wet days (Precip >= 1mm).",
         source=ECAD_ATBD,
         short_name="CWD",
         group=IndexGroupRegistry.RAIN,
@@ -405,7 +405,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Sum,
         output_unit="mm",
-        definition="Precipitation sum (mm)",
+        definition="Precipitation sum (mm).",
         source=ECAD_ATBD,
         short_name="RR",
         group=IndexGroupRegistry.RAIN,
@@ -416,7 +416,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 10 mm/day",
         output_unit="day",
-        definition="Number of heavy precipitation days (Precip >=10mm)",
+        definition="Number of heavy precipitation days (Precip >=10mm).",
         source=ECAD_ATBD,
         short_name="R10mm",
         group=IndexGroupRegistry.RAIN,
@@ -427,7 +427,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 20 mm/day",
         output_unit="day",
-        definition="Number of very heavy precipitation days (Precip >= 20mm)",
+        definition="Number of very heavy precipitation days (Precip >= 20mm).",
         source=ECAD_ATBD,
         short_name="R20mm",
         group=IndexGroupRegistry.RAIN,
@@ -437,7 +437,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Maximum,
         output_unit="mm/day",
-        definition="maximum 1-day total precipitation",  # from xclim
+        definition="maximum 1-day total precipitation.",  # from xclim
         source=ECAD_ATBD,
         short_name="RX1day",
         group=IndexGroupRegistry.RAIN,
@@ -447,7 +447,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.MaxOfRollingSum,
         output_unit="mm",
-        definition="maximum 5-day total precipitation",  # from xclim
+        definition="maximum 5-day total precipitation.",  # from xclim
         source=ECAD_ATBD,
         short_name="RX5day",
         group=IndexGroupRegistry.RAIN,
@@ -460,7 +460,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=build_threshold("> 75 period_per", threshold_min_value="1 mm/day"),
         output_unit="day",
-        definition="Days with RR > 75th percentile of daily amounts"
+        definition="Days with RR > 75th percentile of daily amounts."
         " (moderate wet days) (d)",
         source=ECAD_ATBD,
         short_name="R75p",
@@ -473,7 +473,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.FractionOfTotal,
         threshold=build_threshold("> 75 period_per", threshold_min_value="1 mm/day"),
         output_unit="%",
-        definition="Precipitation fraction due to moderate wet days"
+        definition="Precipitation fraction due to moderate wet days."
         " (> 75th percentile)",
         source=ECAD_ATBD,
         short_name="R75pTOT",
@@ -486,7 +486,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=build_threshold("> 95 period_per", threshold_min_value="1 mm/day"),
         output_unit="day",
-        definition="Days with RR > 95th percentile of daily amounts"
+        definition="Days with RR > 95th percentile of daily amounts."
         " (very wet days) (days)",
         source=ECAD_ATBD,
         short_name="R95p",
@@ -499,7 +499,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.FractionOfTotal,
         threshold=build_threshold("> 95 period_per", threshold_min_value="1 mm/day"),
         output_unit="%",
-        definition="Precipitation fraction due to very wet days (> 95th percentile)",
+        definition="Precipitation fraction due to very wet days (> 95th percentile).",
         source=ECAD_ATBD,
         short_name="R95pTOT",
         group=IndexGroupRegistry.RAIN,
@@ -511,7 +511,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=build_threshold("> 99 period_per", threshold_min_value="1 mm/day"),
         output_unit="day",
-        definition="Days with RR > 99th percentile of daily amounts"
+        definition="Days with RR > 99th percentile of daily amounts."
         " (extremely wet days)",
         source=ECAD_ATBD,
         short_name="R99p",
@@ -524,7 +524,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.FractionOfTotal,
         threshold=build_threshold("> 99 period_per", threshold_min_value="1 mm/day"),
         output_unit="%",
-        definition="Precipitation fraction due to extremely wet days"
+        definition="Precipitation fraction due to extremely wet days."
         " (> 99th percentile)",
         source=ECAD_ATBD,
         short_name="R99pTOT",
@@ -537,7 +537,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Average,
         output_unit="cm",
-        definition="Mean of daily snow depth",
+        definition="Mean of daily snow depth.",
         source=ECAD_ATBD,
         short_name="SD",
         group=IndexGroupRegistry.SNOW,
@@ -548,7 +548,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 1 cm",
         output_unit="day",
-        definition="Snow days (SD >= 1 cm)",
+        definition="Snow days (SD >= 1 cm).",
         source=ECAD_ATBD,
         short_name="SD1",
         group=IndexGroupRegistry.SNOW,
@@ -559,7 +559,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         output_unit="day",
         threshold=">= 5 cm",
-        definition="Number of days with snow depth >= 5 cm",
+        definition="Number of days with snow depth >= 5 cm.",
         source=ECAD_ATBD,
         short_name="SD5cm",
         group=IndexGroupRegistry.SNOW,
@@ -570,7 +570,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 50 cm",
         output_unit="day",
-        definition="Number of days with snow depth >= 50 cm",
+        definition="Number of days with snow depth >= 50 cm.",
         source=ECAD_ATBD,
         short_name="SD50cm",
         group=IndexGroupRegistry.SNOW,
@@ -586,7 +586,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         ],
         output_unit="day",
         definition="Days with TG < 25th percentile of daily mean temperature and"
-        " RR <25th percentile of daily precipitation sum (cold/dry days)",
+        " RR <25th percentile of daily precipitation sum (cold/dry days).",
         source=ECAD_ATBD,
         short_name="CD",
         group=IndexGroupRegistry.TEMPERATURE | IndexGroupRegistry.RAIN,
@@ -603,7 +603,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         ],
         output_unit="day",
         definition="Days with TG < 25th percentile of daily mean temperature and"
-        " RR >75th percentile of daily precipitation sum (cold/wet days)",
+        " RR >75th percentile of daily precipitation sum (cold/wet days).",
         source=ECAD_ATBD,
         short_name="CW",
         group=IndexGroupRegistry.TEMPERATURE | IndexGroupRegistry.RAIN,
@@ -620,7 +620,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         ],
         output_unit="day",
         definition="Days with TG > 75th percentile of daily mean temperature and"
-        " RR <25th percentile of daily precipitation sum (warm/dry days)",
+        " RR <25th percentile of daily precipitation sum (warm/dry days).",
         source=ECAD_ATBD,
         short_name="WD",
         group=IndexGroupRegistry.TEMPERATURE | IndexGroupRegistry.RAIN,
@@ -637,7 +637,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         ],
         output_unit="day",
         definition="Days with TG > 75th percentile of daily mean temperature and"
-        " RR >75th percentile of daily precipitation sum (warm/wet days)",
+        " RR >75th percentile of daily precipitation sum (warm/wet days).",
         source=ECAD_ATBD,
         short_name="WW",
         group=IndexGroupRegistry.TEMPERATURE | IndexGroupRegistry.RAIN,
@@ -650,7 +650,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Maximum,
         output_unit="m s-1",
-        definition="Maximum value of daily maximum wind gust",
+        definition="Maximum value of daily maximum wind gust.",
         source=ECAD_ATBD,
         short_name="FXx",
         group=IndexGroupRegistry.WIND,
@@ -661,7 +661,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold=">= 10.8 m s-1",
         output_unit="day",
-        definition="Days with daily averaged wind ≥ 6 Bft (10.8 m s-1)",
+        definition="Days with daily averaged wind ≥ 6 Bft (10.8 m s-1).",
         source=ECAD_ATBD,
         short_name="FG6Bft",
         group=IndexGroupRegistry.WIND,
@@ -672,7 +672,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="<= 2 m s-1",
         output_unit="day",
-        definition="Calm days, days with daily averaged wind <= 2 m s-1",
+        definition="Calm days, days with daily averaged wind <= 2 m s-1.",
         source=ECAD_ATBD,
         short_name="FGcalm",
         group=IndexGroupRegistry.WIND,
@@ -682,7 +682,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         reference=ECAD_REFERENCE,
         indicator=GenericIndicatorRegistry.Average,
         output_unit="m s-1",
-        definition="Mean of daily mean wind strength",
+        definition="Mean of daily mean wind strength.",
         source=ECAD_ATBD,
         short_name="FG",
         group=IndexGroupRegistry.WIND,
@@ -693,7 +693,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="> 315 degree OR <= 45 degree",
         output_unit="day",
-        definition="Days with northerly winds (DD > 315° or DD ≤ 45°)",
+        definition="Days with northerly winds (DD > 315° or DD ≤ 45°).",
         source=ECAD_ATBD,
         short_name="DDnorth",
         group=IndexGroupRegistry.WIND,
@@ -704,7 +704,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="> 45 degree AND <= 135 degree",
         output_unit="day",
-        definition="Days with easterly winds (45° < DD <= 135°)",
+        definition="Days with easterly winds (45° < DD <= 135°).",
         source=ECAD_ATBD,
         short_name="DDeast",
         group=IndexGroupRegistry.WIND,
@@ -715,7 +715,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="> 135 degree AND <= 225 degree",
         output_unit="day",
-        definition="Days with southerly winds (135° < DD <= 225°)",
+        definition="Days with southerly winds (135° < DD <= 225°).",
         source=ECAD_ATBD,
         short_name="DDsouth",
         group=IndexGroupRegistry.WIND,
@@ -726,7 +726,7 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
         indicator=GenericIndicatorRegistry.CountOccurrences,
         threshold="> 225 degree AND <= 315 degree",
         output_unit="day",
-        definition="Days with westerly winds (225° < DD <= 315°)",
+        definition="Days with westerly winds (225° < DD <= 315°).",
         source=ECAD_ATBD,
         short_name="DDwest",
         group=IndexGroupRegistry.WIND,
@@ -734,8 +734,8 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
     )
     GSL = StandardIndex(
         reference=ECAD_REFERENCE,
-        indicator=XCLIM_BINDING.GrowingSeasonLength(),
-        definition="Growing season length",
+        indicator=XclimBinding.GrowingSeasonLength(),
+        definition="Growing season length.",
         source=ECAD_ATBD,
         short_name="GSL",
         group=IndexGroupRegistry.COLD,
@@ -744,8 +744,8 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
     )
     SPI6 = StandardIndex(
         reference=ECAD_REFERENCE,
-        indicator=XCLIM_BINDING.StandardizedPrecipitationIndex6(),
-        definition="6-Month Standardized Precipitation Index",
+        indicator=XclimBinding.StandardizedPrecipitationIndex6(),
+        definition="6-Month Standardized Precipitation Index.",
         source=ECAD_ATBD,
         short_name="SPI6",
         group=IndexGroupRegistry.RAIN,
@@ -755,8 +755,8 @@ def to_list(cls: EcadIndexRegistry) -> list[str]:
     )
     SPI3 = StandardIndex(
         reference=ECAD_REFERENCE,
-        indicator=XCLIM_BINDING.StandardizedPrecipitationIndex3(),
-        definition="3-Month Standardized Precipitation Index",
+        indicator=XclimBinding.StandardizedPrecipitationIndex3(),
+        definition="3-Month Standardized Precipitation Index.",
         source=ECAD_ATBD,
         short_name="SPI3",
         group=IndexGroupRegistry.RAIN,
diff --git a/src/icclim/ecad/xclim_binding.py b/src/icclim/ecad/xclim_binding.py
index f79677a2..7fe360a2 100644
--- a/src/icclim/ecad/xclim_binding.py
+++ b/src/icclim/ecad/xclim_binding.py
@@ -18,9 +18,10 @@
     from icclim.models.index_config import IndexConfig
 
 
-class XCLIM_BINDING:
+class XclimBinding:
     class GrowingSeasonLength(Indicator):
-        """
+        """xclim.growing_season_length.
+
         Fake icclim indicator that redirect to xclim `growing_season_length` indicator.
         """
 
@@ -40,11 +41,11 @@ def __call__(self, config: IndexConfig) -> xarray.DataArray:
             )
 
         def preprocess(self, *args, **kwargs) -> list[xarray.DataArray]:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
 
         def postprocess(self, *args, **kwargs) -> xarray.DataArray:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
 
     class StandardizedPrecipitationIndex3(Indicator):
@@ -73,11 +74,11 @@ def __call__(self, config: IndexConfig) -> xarray.DataArray:
             )
 
         def preprocess(self, *args, **kwargs) -> list[xarray.DataArray]:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
 
         def postprocess(self, *args, **kwargs) -> xarray.DataArray:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
 
     class StandardizedPrecipitationIndex6(Indicator):
@@ -106,9 +107,9 @@ def __call__(self, config: IndexConfig) -> xarray.DataArray:
             )
 
         def preprocess(self, *args, **kwargs) -> list[xarray.DataArray]:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
 
         def postprocess(self, *args, **kwargs) -> xarray.DataArray:
-            """Not implemented as xclim indicator already handle pre/post processing"""
+            """Not implemented as xclim indicator already handle pre/post processing."""
             raise NotImplementedError
diff --git a/src/icclim/generic_indices/generic_indicators.py b/src/icclim/generic_indices/generic_indicators.py
index d815c119..ce6b6d74 100644
--- a/src/icclim/generic_indices/generic_indicators.py
+++ b/src/icclim/generic_indices/generic_indicators.py
@@ -58,7 +58,7 @@
 
 
 class MissingMethodLike(metaclass=abc.ABCMeta):
-    """workaround xclim missing type"""
+    """workaround xclim missing type."""
 
     # TODO @bzah: PR that to xclim
     # https://github.com/cerfacs-globc/icclim/issues/289
diff --git a/src/icclim/generic_indices/threshold.py b/src/icclim/generic_indices/threshold.py
index 303d0546..5b9fedbc 100644
--- a/src/icclim/generic_indices/threshold.py
+++ b/src/icclim/generic_indices/threshold.py
@@ -65,7 +65,8 @@
 
 
 class ThresholdBuilderInput(TypedDict, total=False):
-    """
+    """Threshold building configuration.
+
     Data transfert object mapping all possible configuration to build any threshold.
     """
 
@@ -211,9 +212,7 @@ def build_threshold(
 
 
 class Threshold(metaclass=abc.ABCMeta):
-    """
-    Abstract super class for all thresholds.
-    """
+    """Abstract super class for all thresholds."""
 
     operator: Operator | str
     value: ThresholdValueType
diff --git a/src/icclim/main.py b/src/icclim/main.py
index 5bf767bc..1e090ff9 100644
--- a/src/icclim/main.py
+++ b/src/icclim/main.py
@@ -21,7 +21,7 @@
 import xclim
 
 from icclim.ecad.ecad_indices import EcadIndexRegistry
-from icclim.ecad.xclim_binding import XCLIM_BINDING
+from icclim.ecad.xclim_binding import XclimBinding
 from icclim.generic_indices.generic_indicators import (
     GenericIndicator,
     GenericIndicatorRegistry,
@@ -207,7 +207,7 @@ def index(
     base_period_time_range: Sequence[dt.datetime] | Sequence[str] | None = None,
     doy_window_width: int = 5,
     only_leap_years: bool = False,
-    ignore_Feb29th: bool = False,
+    ignore_Feb29th: bool = False,  # noqa: N803
     interpolation: str | QuantileInterpolation = "median_unbiased",
     out_unit: str | None = None,
     netcdf_version: str | NetcdfVersion = "NETCDF4",
@@ -224,7 +224,7 @@ def index(
     save_percentile: bool | None = None,
     indice_name: str | None = None,
     user_indice: UserIndexDict = None,
-    transfer_limit_Mbytes: float | None = None,
+    transfer_limit_Mbytes: float | None = None,  # noqa: N803
 ) -> Dataset:
     """
     Main entry point for icclim to compute climate indices.
@@ -519,7 +519,7 @@ def _handle_deprecated_params(
     save_thresholds,
     doy_window_width,
     indice_name,
-    transfer_limit_Mbytes,
+    transfer_limit_Mbytes,  # noqa: N803
     user_indice,
     save_percentile,
     window_width,
@@ -588,8 +588,8 @@ def _compute_climate_index(
         and not isinstance(
             climate_index,
             (
-                XCLIM_BINDING.StandardizedPrecipitationIndex6,
-                XCLIM_BINDING.StandardizedPrecipitationIndex3,
+                XclimBinding.StandardizedPrecipitationIndex6,
+                XclimBinding.StandardizedPrecipitationIndex3,
             ),
         )
     ):
@@ -649,7 +649,7 @@ def _build_history(
     initial_history: str | None,
     indice_computed: Indicator,
 ) -> str:
-    from icclim import __version__ as ICCLIM_VERSION
+    from icclim import __version__ as icclim_version
 
     if initial_history is None:
         # get xclim history
@@ -666,7 +666,7 @@ def _build_history(
         f" [{current_time}]"
         f" Calculation of {indice_computed.name}"
         f" index ({config.frequency.adjective})"
-        f" - icclim version: {ICCLIM_VERSION}"
+        f" - icclim version: {icclim_version}"
     )
 
 
diff --git a/src/icclim/models/climate_variable.py b/src/icclim/models/climate_variable.py
index 4a9225b5..f7d81410 100644
--- a/src/icclim/models/climate_variable.py
+++ b/src/icclim/models/climate_variable.py
@@ -95,7 +95,7 @@ def build_indicator_metadata(
 
 def build_climate_vars(
     climate_vars_dict: dict[str, InFileDictionary],
-    ignore_Feb29th: bool,
+    ignore_Feb29th: bool,  # noqa: N803
     time_range: Sequence[str],
     base_period: Sequence[str] | None,
     standard_index: StandardIndex | None,
@@ -277,7 +277,7 @@ def _build_in_file_dict(
 def _build_climate_var(
     climate_var_name: str,
     climate_var_data: InFileDictionary | InFileBaseType,
-    ignore_Feb29th: bool,
+    ignore_Feb29th: bool,  # noqa: N803
     time_range: Sequence[str],
     standard_var: StandardVariable | None,
 ) -> ClimateVariable:
diff --git a/src/icclim/models/frequency.py b/src/icclim/models/frequency.py
index 1061b890..cdd80999 100644
--- a/src/icclim/models/frequency.py
+++ b/src/icclim/models/frequency.py
@@ -170,7 +170,7 @@ class Frequency:
     delta: timedelta | np.timedelta64
 
     def build_frequency_kwargs(self) -> dict[str, Any]:
-        """Build kwargs with possible keys in {"freq", "month", "date_bounds"}"""
+        """Build kwargs with possible keys in {"freq", "month", "date_bounds"}."""
         kwargs = {"freq": self.pandas_freq}
         if self.indexer is not None:
             kwargs.update(self.indexer)
diff --git a/src/icclim/pre_processing/input_parsing.py b/src/icclim/pre_processing/input_parsing.py
index 576909ef..cf6f531b 100644
--- a/src/icclim/pre_processing/input_parsing.py
+++ b/src/icclim/pre_processing/input_parsing.py
@@ -148,9 +148,7 @@ def read_dataset(
 
 
 def update_to_standard_coords(ds: Dataset) -> Dataset:
-    """
-    Mutate input ds to use more icclim friendly coordinate names.
-    """
+    """Mutate input ds to use more icclim friendly coordinate names."""
     # TODO @bzah: see if cf-xarray could replace this
     # https://github.com/cerfacs-globc/icclim/issues/289
     if ds.coords.get("t") is not None:
@@ -281,7 +279,7 @@ def guess_input_type(data: DataArray) -> StandardVariable | None:
 def build_studied_data(
     original_da: DataArray,
     time_range: Sequence[str] | None,
-    ignore_Feb29th: bool,
+    ignore_Feb29th: bool,  # noqa: N803
     standard_var: StandardVariable | None,
 ) -> DataArray:
     if time_range is not None:
@@ -360,12 +358,14 @@ def reduce_only_leap_years(da: DataArray) -> DataArray:
     return xr.concat(reduced_list, "time")
 
 
-def read_threshold_DataArray(
+def read_threshold_dataarray(
     thresh_da: DataArray,
     threshold_min_value: str | float,
     climatology_bounds: Sequence[str],
     unit: str,
 ):
+    # TODO @bzah: Make sure it is part of the public API or remove it if unused
+    # https://github.com/cerfacs-globc/icclim/issues/289
     if PercentileDataArray.is_compatible(thresh_da):
         built_value = PercentileDataArray.from_da(
             standardize_percentile_dim_name(thresh_da),
@@ -395,6 +395,20 @@ def build_reference_da(
     only_leap_years: bool,
     percentile_min_value: Quantity | None,
 ) -> DataArray:
+    """Build a reference DataArray to be used for percentile doy computation.
+
+    Parameters
+    ----------
+    original_da: DataArray
+        The DataArray used as a base.
+    base_period_time_range: Sequence[datetime | str] | None
+        The period to slice in the base DataArray.
+    only_leap_years: bool
+        Flag to only use leap years (years with 366 days).
+    percentile_min_value: Quantity | None
+        Optional, if set will replace every value from the base DataArray that are below
+        the `percentile_min_value` with np.nan.
+    """
     reference = original_da
     if base_period_time_range:
         check_time_range_pre_validity("base_period_time_range", base_period_time_range)
diff --git a/src/icclim/pre_processing/rechunk.py b/src/icclim/pre_processing/rechunk.py
index 1d2543b8..e5900e7a 100644
--- a/src/icclim/pre_processing/rechunk.py
+++ b/src/icclim/pre_processing/rechunk.py
@@ -66,11 +66,12 @@ def create_optimized_zarr_store(
     filesystem: str | AbstractFileSystem = LOCAL_FILE_SYSTEM,
 ) -> Dataset:
     """
+    Context manager to create an zarr store given an input netcdf or xarray structure.
+
     -- EXPERIMENTAL FEATURE --
     API may changes without deprecation warning!
 
-    Context manager to create an zarr store given an input netcdf or xarray structure.
-    The execution may take a long time
+    The execution may take a long time.
 
     The result is rechunked according to `chunking` schema provided.
     By default, when leaving `chunking` to None, the resulting zarr store is NOT chunked
diff --git a/tests/test_cf_calendar.py b/tests/test_cf_calendar.py
index bb8b9c74..4ea2074b 100644
--- a/tests/test_cf_calendar.py
+++ b/tests/test_cf_calendar.py
@@ -8,7 +8,7 @@
 from icclim.models.cf_calendar import CfCalendarRegistry
 
 
-class Test_CfCalendar:
+class TestCfCalendar:
     def test_error_lookup(self):
         with pytest.raises(InvalidIcclimArgumentError):
             CfCalendarRegistry.lookup("NOPE!")
@@ -28,22 +28,22 @@ def test_error_lookup(self):
     def test_success_lookup(self, cal):
         assert CfCalendarRegistry.lookup(cal).aliases[0] == cal
 
-    def test_NO_LEAP(self):
+    def test_no_leap(self):
         da = xr.DataArray(pd.date_range("2000", periods=100, freq="YS"), dims=["time"])
         res = CfCalendarRegistry.NO_LEAP.is_leap(da)
         np.testing.assert_array_equal(False, res)
 
-    def test_DAYS_360(self):
+    def test_days_360(self):
         da = xr.DataArray(pd.date_range("2000", periods=100, freq="YS"), dims=["time"])
         res = CfCalendarRegistry.DAYS_360.is_leap(da)
         np.testing.assert_array_equal(False, res)
 
-    def test_ALL_LEAP(self):
+    def test_all_leap(self):
         da = xr.DataArray(pd.date_range("2000", periods=100, freq="YS"), dims=["time"])
         res = CfCalendarRegistry.ALL_LEAP.is_leap(da)
         np.testing.assert_array_equal(True, res)
 
-    def test_PROLEPTIC_GREGORIAN(self):
+    def test_proleptic_gregorian(self):
         res_1 = CfCalendarRegistry.PROLEPTIC_GREGORIAN.is_leap(
             xr.DataArray(np.asarray([40, 1600])),
         )
@@ -53,7 +53,7 @@ def test_PROLEPTIC_GREGORIAN(self):
         np.testing.assert_array_equal(True, res_1)
         np.testing.assert_array_equal(False, res_2)
 
-    def test_JULIAN(self):
+    def test_julian(self):
         res_1 = CfCalendarRegistry.JULIAN.is_leap(
             xr.DataArray(np.asarray([40, 1500, 1600, 1700])),
         )
@@ -65,7 +65,7 @@ def test_JULIAN(self):
         "cal",
         [CfCalendarRegistry.STANDARD, CfCalendarRegistry.NONE],
     )
-    def test_STANDARD(self, cal):
+    def test_standard(self, cal):
         res_1 = cal.is_leap(xr.DataArray(np.asarray([40, 1500, 1600])))
         res_2 = cal.is_leap(xr.DataArray(np.asarray([42, 1700])))
         np.testing.assert_array_equal(True, res_1)
diff --git a/tests/test_ecad_indices.py b/tests/test_ecad_indices.py
index f10f5b3f..0dfd96b1 100644
--- a/tests/test_ecad_indices.py
+++ b/tests/test_ecad_indices.py
@@ -14,7 +14,7 @@ def test_listing():
     assert len(res) == len(indices)
 
 
-class Test_index_from_string:
+class TestIndexFromString:
     def test_simple(self):
         res = EcadIndexRegistry.lookup("SU")
         assert res == EcadIndexRegistry.SU
diff --git a/tests/test_frequency.py b/tests/test_frequency.py
index 1524b52b..eb282627 100644
--- a/tests/test_frequency.py
+++ b/tests/test_frequency.py
@@ -10,13 +10,13 @@
 from tests.testing_utils import stub_tas
 
 
-class Test_build_frequency_over_frequency:
+class TestBuildFrequencyOverFrequency:
     def test_simple(self):
         freq = FrequencyRegistry.lookup(FrequencyRegistry.YEAR)
         assert freq == FrequencyRegistry.YEAR
 
 
-class Test_build_frequency_over_string:
+class TestBuildFrequencyOverString:
     def test_error(self):
         with pytest.raises(InvalidIcclimArgumentError):
             FrequencyRegistry.lookup("yolo")
@@ -26,7 +26,7 @@ def test_simple(self):
         assert freq == FrequencyRegistry.YEAR
 
 
-class Test_build_frequency_over_list:
+class TestBuildFrequencyOverList:
     def test_lookup_list__keyword_error(self):
         with pytest.raises(InvalidIcclimArgumentError):
             FrequencyRegistry.lookup(["cacahuêtes"])
@@ -86,7 +86,7 @@ def test_lookup_season__between_dates(self):
         assert freq.post_processing is not None
 
 
-class Test_seasons_resampler:
+class TestSeasonsResampler:
     def test_simple(self):
         # WHEN
         test_da = filter_months(stub_tas(), [4, 5, 6]).resample(time="YS").mean()
diff --git a/tests/test_input_parsing.py b/tests/test_input_parsing.py
index 9fb84443..2eb64ceb 100644
--- a/tests/test_input_parsing.py
+++ b/tests/test_input_parsing.py
@@ -42,7 +42,7 @@ def test_update_to_standard_coords():
     assert "time" in res.coords
 
 
-class Test_ReadDataset:
+class TestReadDataset:
     OUTPUT_NC_FILE = Path("tmp.nc")
     OUTPUT_NC_FILE_2 = Path("tmp-2.nc")
     OUTPUT_ZARR_STORE = Path("tmp.zarr")
@@ -86,7 +86,7 @@ def _cleanup(self):
             with contextlib.suppress(FileNotFoundError):
                 f.unlink()
 
-    def test_read_dataset_xr_DataArray__simple(self):
+    def test_read_dataset_xr_dataarray__simple(self):
         # WHEN
         res = read_dataset(self.pr_da)
         # THEN
diff --git a/tests/test_main.py b/tests/test_main.py
index c5be37b6..7c335847 100644
--- a/tests/test_main.py
+++ b/tests/test_main.py
@@ -12,7 +12,7 @@
 import pint
 import pytest
 import xarray as xr
-from icclim import __version__ as ICCLIM_VERSION
+from icclim import __version__ as icclim_version
 from icclim.ecad.ecad_indices import EcadIndexRegistry
 from icclim.generic_indices.threshold import build_threshold
 from icclim.icclim_exceptions import InvalidIcclimArgumentError
@@ -39,12 +39,12 @@ def test_deprecated_indice(log_mock: MagicMock, index_mock: MagicMock):
 
 
 @pytest.mark.slow()
-class Test_Integration:
+class TestIntegration:
     """
     Integration tests.
     We are not testing here the actual indices results, they are already tested in
     `test_ecad_indices.py` as well as in xclim directly.
-    The goal it to make sure every the whole app can run smoothly
+    The goal is to make sure the whole app can run smoothly.
 
     These tests have side effect:
     - writing and removing of "out.nc" file
@@ -105,7 +105,7 @@ def _cleanup(self):
         with contextlib.suppress(FileNotFoundError):
             self.OUTPUT_FILE.unlink()
 
-    def test_index_SU(self):
+    def test_index_su(self):
         tas = stub_tas(tas_value=26 + K2C)
         tas[:5] = 0
         res = icclim.index(
@@ -114,20 +114,20 @@ def test_index_SU(self):
             out_file=self.OUTPUT_FILE,
             slice_mode="ms",
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         assert res.SU.isel(time=0) == 26  # January
 
-    def test_index_SU__on_dataset(self):
+    def test_index_su__on_dataset(self):
         res = icclim.index(
             index_name="SU",
             var_name="data",
             in_files=self.dataset_with_time_bounds,
             out_file=self.OUTPUT_FILE,
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         np.testing.assert_array_equal(0, res.SU)
 
-    def test_index_DTR(self):
+    def test_index_dtr(self):
         ds = self.data.to_dataset(name="toto")
         ds["tutu"] = self.data + 10
         res = icclim.index(
@@ -136,10 +136,10 @@ def test_index_DTR(self):
             out_file=self.OUTPUT_FILE,
             var_name=["toto", "tutu"],
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         np.testing.assert_array_equal(-10, res.DTR)
 
-    def test_index_DTR__with_unit_conversion(self):
+    def test_index_dtr__with_unit_conversion(self):
         ds = self.data.to_dataset(name="toto")
         ds["tutu"] = self.data + 10
         ds["toto"].attrs["units"] = "K"
@@ -149,11 +149,11 @@ def test_index_DTR__with_unit_conversion(self):
             out_file=self.OUTPUT_FILE,
             var_name=["toto", "tutu"],
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         np.testing.assert_array_equal(-10, res.DTR)
         np.testing.assert_array_equal("°C", res.DTR.attrs["units"])
 
-    def test_index_CD(self):
+    def test_index_cd(self):
         ds = self.data.to_dataset(name="tas")
         ds["pr"] = self.data.copy(deep=True)
         ds["pr"].attrs[UNITS_KEY] = "kg m-2 d-1"
@@ -162,7 +162,7 @@ def test_index_CD(self):
             in_files=ds,
             out_file=self.OUTPUT_FILE,
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         np.testing.assert_array_equal(0, res.CD)
 
     def test__preserve_initial_history(self):
@@ -170,7 +170,7 @@ def test__preserve_initial_history(self):
         res = icclim.su(in_files=self.data)
         assert "pouet pouet cacahuête" in res.attrs["history"]
 
-    def test_index_SU__time_selection(self):
+    def test_index_su__time_selection(self):
         # WHEN
         res_string_dates = icclim.index(
             index_name="SU",
@@ -200,7 +200,7 @@ def test_index_SU__time_selection(self):
             res_datetime_dates.time_bounds,
         )
 
-    def test_index_SU__pandas_time_slice_mode(self):
+    def test_index_su__pandas_time_slice_mode(self):
         # WHEN
         res = icclim.index(
             index_name="SU",
@@ -225,7 +225,7 @@ def test_index_SU__pandas_time_slice_mode(self):
             " degC for each 2 wednesday starting week(s)."
         )
 
-    def test_index_SU__monthy_sampled(self):
+    def test_index_su__monthy_sampled(self):
         res = icclim.index(
             index_name="SU",
             in_files=self.data,
@@ -238,7 +238,7 @@ def test_index_SU__monthy_sampled(self):
             len(res.time),
         )
 
-    def test_index_SU__monthy_sampled_cf_time(self):
+    def test_index_su__monthy_sampled_cf_time(self):
         res = icclim.index(
             index_name="SU",
             in_files=self.data_cf_time,
@@ -269,7 +269,7 @@ def test_index_SU__monthy_sampled_cf_time(self):
             0,
         )
 
-    def test_index_SU__DJF_cf_time(self):
+    def test_index_su__djf_cf_time(self):
         res = icclim.index(
             index_name="SU",
             in_files=self.data_cf_time,
@@ -302,7 +302,7 @@ def test_index_SU__DJF_cf_time(self):
             0,
         )
 
-    def test_indices__from_DataArray(self):
+    def test_indices__from_dataarray(self):
         res = icclim.indices(
             index_group=IndexGroupRegistry.HEAT,
             in_files=self.data,
@@ -419,7 +419,7 @@ def test_indices__snow_indices(self):
         ):
             assert res[i.short_name] is not None
 
-    def test_indices_all_from_Dataset(self):
+    def test_indices_all_from_dataset(self):
         res = icclim.indices(
             index_group="all",
             in_files=self.full_data,
@@ -429,7 +429,7 @@ def test_indices_all_from_Dataset(self):
         for i in EcadIndexRegistry.values():
             assert res[i.short_name] is not None
 
-    def test_indices_all_from_Dataset__seasonal_SPI_error(self):
+    def test_indices_all_from_dataset__seasonal_spi_error(self):
         with pytest.raises(InvalidIcclimArgumentError):
             icclim.indices(
                 index_group="SPI3",
@@ -448,7 +448,7 @@ def test_spi6__no_time_bounds(self):
         ).load()
         assert "time_bounds" not in dataset.coords
 
-    def test_indices_all_from_Dataset__seasonal(self):
+    def test_indices_all_from_dataset__seasonal(self):
         res = icclim.indices(
             index_group="all",
             in_files=self.full_data,
@@ -459,7 +459,7 @@ def test_indices_all_from_Dataset__seasonal(self):
         for i in self.not_spi_indices:
             assert res[i.short_name] is not None
 
-    def test_indices_all_from_Dataset__between_dates_seasonal(self):
+    def test_indices_all_from_dataset__between_dates_seasonal(self):
         res = icclim.indices(
             index_group="all",
             in_files=self.full_data,
@@ -470,7 +470,7 @@ def test_indices_all_from_Dataset__between_dates_seasonal(self):
         for i in self.not_spi_indices:
             assert res[i.short_name] is not None
 
-    def test_indices_all_from_Dataset__JFM_seasonal(self):
+    def test_indices_all_from_dataset__jfm_seasonal(self):
         res = icclim.indices(
             index_group="all",
             in_files=self.full_data,
@@ -481,7 +481,7 @@ def test_indices_all_from_Dataset__JFM_seasonal(self):
         for i in self.not_spi_indices:
             assert res[i.short_name] is not None
 
-    def test_indices_all_from_Dataset__between_year_season(self):
+    def test_indices_all_from_dataset__between_year_season(self):
         res = icclim.indices(
             index_group="all",
             in_files=self.full_data,
@@ -527,7 +527,7 @@ def test_indices_all__error(self):
                 ignore_error=False,
             )
 
-    def test_index_TR(self):
+    def test_index_tr(self):
         tas = stub_tas(tas_value=26 + K2C)
         tas[:5] = 0
         res = icclim.index(
@@ -536,7 +536,7 @@ def test_index_TR(self):
             out_file=self.OUTPUT_FILE,
             slice_mode="ms",
         )
-        assert f"icclim version: {ICCLIM_VERSION}" in res.attrs["history"]
+        assert f"icclim version: {icclim_version}" in res.attrs["history"]
         assert res.TR.isel(time=0) == 26  # January
 
     def test_index_prcptot(self):
diff --git a/tests/test_threshold.py b/tests/test_threshold.py
index aee69f08..33b533da 100644
--- a/tests/test_threshold.py
+++ b/tests/test_threshold.py
@@ -207,11 +207,11 @@ def test_build_per_threshold__from_query():
 
 
 def test_build_basic_threshold__from_dataarray():
-    TIME_RANGE = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
+    time_range = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
     data = xr.DataArray(
-        data=(np.full(len(TIME_RANGE), 20).reshape((len(TIME_RANGE), 1, 1))),
+        data=(np.full(len(time_range), 20).reshape((len(time_range), 1, 1))),
         dims=["time", "lat", "lon"],
-        coords={"lat": [42], "lon": [42], "time": TIME_RANGE},
+        coords={"lat": [42], "lon": [42], "time": time_range},
         attrs={UNITS_KEY: "degC"},
         name="toto",
     )
@@ -224,11 +224,11 @@ def test_build_basic_threshold__from_dataarray():
 
 
 def test_build_basic_threshold__from_dataset():
-    TIME_RANGE = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
+    time_range = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
     ds = xr.DataArray(
-        data=(np.full(len(TIME_RANGE), 20).reshape((len(TIME_RANGE), 1, 1))),
+        data=(np.full(len(time_range), 20).reshape((len(time_range), 1, 1))),
         dims=["time", "lat", "lon"],
-        coords={"lat": [42], "lon": [42], "time": TIME_RANGE},
+        coords={"lat": [42], "lon": [42], "time": time_range},
         attrs={UNITS_KEY: "degC"},
         name="tas",
     ).to_dataset()
@@ -242,11 +242,11 @@ def test_build_basic_threshold__from_dataset():
 
 
 def test_build_basic_threshold__from_dataset__error():
-    TIME_RANGE = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
+    time_range = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
     ds = xr.DataArray(
-        data=(np.full(len(TIME_RANGE), 20).reshape((len(TIME_RANGE), 1, 1))),
+        data=(np.full(len(time_range), 20).reshape((len(time_range), 1, 1))),
         dims=["time", "lat", "lon"],
-        coords={"lat": [42], "lon": [42], "time": TIME_RANGE},
+        coords={"lat": [42], "lon": [42], "time": time_range},
         attrs={UNITS_KEY: "degC"},
         name="toto",
     ).to_dataset()
@@ -256,14 +256,14 @@ def test_build_basic_threshold__from_dataset__error():
         build_threshold(operator=">=", value=ds, threshold_min_value="280K")
 
 
-class Test_FileBased:
+class TestFileBased:
     IN_FILE_PATH = Path("in.nc")
-    TIME_RANGE = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
+    time_range = pd.date_range(start="2042-01-01", end="2045-12-31", freq="D")
 
     data = xr.DataArray(
-        data=(np.full(len(TIME_RANGE), 20).reshape((len(TIME_RANGE), 1, 1))),
+        data=(np.full(len(time_range), 20).reshape((len(time_range), 1, 1))),
         dims=["time", "lat", "lon"],
-        coords={"lat": [42], "lon": [42], "time": TIME_RANGE},
+        coords={"lat": [42], "lon": [42], "time": time_range},
         attrs={UNITS_KEY: "degC"},
         name="toto",
     )
diff --git a/tests/test_user_index.py b/tests/test_user_index.py
index 89958574..f376773f 100644
--- a/tests/test_user_index.py
+++ b/tests/test_user_index.py
@@ -12,7 +12,7 @@
 from tests.testing_utils import stub_tas
 
 
-class Test_max:
+class TestMax:
     def test_simple(self):
         da = stub_tas(use_dask=False)
         da.data[1] = 20
@@ -30,7 +30,7 @@ def test_simple(self):
         assert result.data[0] == 20
 
 
-class Test_min:
+class TestMin:
     def test_simple(self):
         da = stub_tas(use_dask=False)
         da.data[1] = -20
@@ -43,7 +43,7 @@ def test_simple(self):
         assert result.data[0] == -20
 
 
-class Test_mean:
+class TestMean:
     def test_simple(self):
         da = stub_tas(use_dask=False)
         da[2] = 366
@@ -56,7 +56,7 @@ def test_simple(self):
         assert result.data[0] == 2
 
 
-class Test_sum:
+class TestSum:
     def test_simple(self):
         da = stub_tas(use_dask=False)
         # WHEN
@@ -69,7 +69,7 @@ def test_simple(self):
         assert result.data[0] == 365
 
 
-class Test_count_events:
+class TestCountEvents:
     def test_simple(self):
         # GIVEN
         da = stub_tas(10, False)
@@ -195,7 +195,7 @@ def test_multi_threshold_and(self):
         assert result.data[0] == 1
 
 
-class Test_run_mean:
+class TestRunMean:
     def test_run_mean_min(self):
         # GIVEN
         tmax = stub_tas(10, False)
@@ -241,7 +241,7 @@ def test_run_mean_max(self):
         assert result.data[2] == 10
 
 
-class Test_run_sum:
+class TestRunSum:
     def test_run_sum_min(self):
         # GIVEN
         tmax = stub_tas(10, False)
@@ -287,7 +287,7 @@ def test_run_sum_max(self):
         assert result.data[2] == 20
 
 
-class Test_max_consecutive_event_count:
+class TestMaxConsecutiveEventCount:
     def test_simple(self):
         # GIVEN
         tmax = stub_tas(10, False)
@@ -308,7 +308,7 @@ def test_simple(self):
         assert result.data[1].isnull()
 
 
-class Test_anomaly:
+class TestAnomaly:
     def test_simple(self):
         # GIVEN
         tmax = stub_tas(10, False)
diff --git a/tools/extract_icclim_funs.py b/tools/extract_icclim_funs.py
index 82db176d..56bf170b 100644
--- a/tools/extract_icclim_funs.py
+++ b/tools/extract_icclim_funs.py
@@ -81,7 +81,7 @@
 DOC_START_PLACEHOLDER = ".. Generated API comment:Begin\n"
 DOC_END_PLACEHOLDER = f"{TAB}{TAB}.. Generated API comment:End"
 MODULE_HEADER = f'''
-# ruff: noqa: A001, E501
+# ruff: noqa: A001, E501, N803
 """
 icclim's API for ECAD indices and generic indices.
 
@@ -239,7 +239,7 @@ def _get_generic_index_declaration(index: GenericIndicator) -> str:
 def {index.name.lower()}(
     {fun_signature_args},
     ) -> Dataset:
-    \"\"\"{index.name}
+    \"\"\"{index.name}.
 
     {index.definition}
 
@@ -275,7 +275,7 @@ def _get_standard_index_declaration(index: StandardIndex) -> str:
 def {index.short_name.lower()}(
     {fun_signature_args},
 ) -> Dataset:
-    \"\"\"{index.short_name}
+    \"\"\"{index.short_name}.
 
     {index.definition}
     Source: {index.source}.