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Merge pull request #768 from nsidc/heat-flow-flux-metadata
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Heat flow layer title and metadata updates
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mfisher87 committed Aug 23, 2023
2 parents b6fe304 + 840da23 commit b554e9b
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2 changes: 2 additions & 0 deletions CHANGELOG.md
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- Improve symbology for "Regional climate models/RACMO model output/Annual mean
wind vectors 1958-2019 (5km)" by removing color mapping to magnitude
values. This was causing conflicts with other layers' color maps.
- Renamed "Geophysics/Heat flux/Heat flow (Colgan et al.)/Flow from multiple
observations (55km)" to "Gridded heat flow (55km)"


### Removed
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8 changes: 4 additions & 4 deletions qgreenland/config/cfg-lock.json
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},
"id": "geothermal_heat_flow",
"metadata": {
"abstract": "Database of all geothermal heat flow measurements within 500 km\nof Greenland's coastline with self-consistent machine-learning\ngeothermal heat flow map over all onshore and offshore areas.\n\nRelated publication:\n\nColgan, W., A. Wansing, K. Mankoff, M. L\u00f6sing, J. Hopper, K. Louden,\nJ. Ebbing, F. Christiansen, T. Ingeman-Nielsen, L. Claesson\nLiljedahl, J. MacGregor, \u00c1. Hjartarson, S. Bernstein, N. Karlsson,\nS. Fuchs, J. Hartikainen, J. Liakka, R. Fausto, D. Dahl-Jensen,\nA. Bj\u00f8rk, J.-O. Naslund, F. M\u00f8rk, Y. Martos, N. Balling, T. Funck,\nK. Kjeldsen, D. Petersen, U. Gregersen, G. Dam, T. Nielsen, S. Khan\nand A. L\u00f8kkegaard. Greenland Geothermal Heat Flow Database and Map\n(Version 1). 2022. Earth Systems Science Data. 14: 2209\u20132238. doi:\n10.5194/essd-14-2209-2022.",
"abstract": "Database of all geothermal heat flow measurements within 500 km of\nGreenland's coastline with self-consistent machine-learning geothermal heat\nflow map over all onshore and offshore areas.\n\nRelated publication:\n\nColgan, W., A. Wansing, K. Mankoff, M. L\u00f6sing, J. Hopper, K. Louden, J.\nEbbing, F. Christiansen, T. Ingeman-Nielsen, L. Claesson Liljedahl, J.\nMacGregor, \u00c1. Hjartarson, S. Bernstein, N. Karlsson, S. Fuchs, J.\nHartikainen, J. Liakka, R. Fausto, D. Dahl-Jensen, A. Bj\u00f8rk, J.-O. Naslund,\nF. M\u00f8rk, Y. Martos, N. Balling, T. Funck, K. Kjeldsen, D. Petersen, U.\nGregersen, G. Dam, T. Nielsen, S. Khan and A. L\u00f8kkegaard. Greenland\nGeothermal Heat Flow Database and Map (Version 1). 2022. Earth Systems\nScience Data. 14: 2209\u20132238. doi: 10.5194/essd-14-2209-2022.\n\nWe compile and analyze all available geothermal heat flow measurements\ncollected in and around Greenland into a new database of 419 sites and\ngenerate an accompanying spatial map. This database includes 290 sites\npreviously reported by the International Heat Flow Commission (IHFC), for\nwhich we now standardize measurement and metadata quality. This database\nalso includes 129 new sites, which have not been previously reported by the\nIHFC. These new sites consist of 88 offshore measurements and 41 onshore\nmeasurements, of which 24 are subglacial. We employ machine learning to\nsynthesize these in situ measurements into a gridded geothermal heat flow\nmodel that is consistent across both continental and marine areas in and\naround Greenland. This model has a native horizontal resolution of 55\u2009km. In\ncomparison to five existing Greenland geothermal heat flow models, our model\nhas the lowest mean geothermal heat flow for Greenland onshore areas. Our\nmodeled heat flow in central North Greenland is highly sensitive to whether\nthe NGRIP (North GReenland Ice core Project) elevated heat flow anomaly is\nincluded in the training dataset. Our model's most distinctive spatial\nfeature is pronounced low geothermal heat flow (<\u200940\u2009mW\u2009m\u22122) across the\nNorth Atlantic Craton of southern Greenland. Crucially, our model does not\nshow an area of elevated heat flow that might be interpreted as remnant from\nthe Icelandic plume track. Finally, we discuss the substantial influence of\npaleoclimatic and other corrections on geothermal heat flow measurements in\nGreenland. The in situ measurement database and gridded heat flow model, as\nwell as other supporting materials, are freely available from the GEUS\nDataverse (https://doi.org/10.22008/FK2/F9P03L; Colgan and Wansing, 2021).",
"citation": {
"text": "Colgan, William; Wansing, Agnes, 2021, \"Greenland Geothermal\nHeat Flow Database and Map\",\nhttps://doi.org/10.22008/FK2/F9P03L, GEUS Dataverse, V2",
"url": "https://doi.org/10.22008/FK2/F9P03L"
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"children": [
{
"layer_cfg": {
"description": "Heat flow measurement database used in the creation of the 'Flow from\nmultiple observations (55km)' layer.",
"description": "Heat flow measurement database used in the creation of the \"Gridded heat flow\n(55km)\" layer.",
"id": "geothermal_heat_flow_measurements",
"in_package": true,
"input": {
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},
{
"layer_cfg": {
"description": "Geothermal heat flow map from machine-learning algorithm (55 km\nnative resolution).",
"description": "Geothermal heat flow map from machine-learning algorithm (55 km\nnative resolution). Gridded from measurements in \"Flow measurement locations\"\nlayer.",
"id": "geothermal_heat_flow_map",
"in_package": true,
"input": {
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],
"style": "geothermal_heat_flow_map",
"tags": [],
"title": "Flow from multiple observations (55km)"
"title": "Gridded heat flow (55km)"
},
"name": "geothermal_heat_flow_map"
}
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49 changes: 37 additions & 12 deletions qgreenland/config/datasets/geothermal_heat_flow.py
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metadata={
"title": "Greenland Geothermal Heat Flow Database and Map",
"abstract": (
"""Database of all geothermal heat flow measurements within 500 km
of Greenland's coastline with self-consistent machine-learning
geothermal heat flow map over all onshore and offshore areas.
"""Database of all geothermal heat flow measurements within 500 km of
Greenland's coastline with self-consistent machine-learning geothermal heat
flow map over all onshore and offshore areas.
Related publication:
Colgan, W., A. Wansing, K. Mankoff, M. Lösing, J. Hopper, K. Louden,
J. Ebbing, F. Christiansen, T. Ingeman-Nielsen, L. Claesson
Liljedahl, J. MacGregor, Á. Hjartarson, S. Bernstein, N. Karlsson,
S. Fuchs, J. Hartikainen, J. Liakka, R. Fausto, D. Dahl-Jensen,
A. Bjørk, J.-O. Naslund, F. Mørk, Y. Martos, N. Balling, T. Funck,
K. Kjeldsen, D. Petersen, U. Gregersen, G. Dam, T. Nielsen, S. Khan
and A. Løkkegaard. Greenland Geothermal Heat Flow Database and Map
(Version 1). 2022. Earth Systems Science Data. 14: 2209–2238. doi:
10.5194/essd-14-2209-2022."""
Colgan, W., A. Wansing, K. Mankoff, M. Lösing, J. Hopper, K. Louden, J.
Ebbing, F. Christiansen, T. Ingeman-Nielsen, L. Claesson Liljedahl, J.
MacGregor, Á. Hjartarson, S. Bernstein, N. Karlsson, S. Fuchs, J.
Hartikainen, J. Liakka, R. Fausto, D. Dahl-Jensen, A. Bjørk, J.-O. Naslund,
F. Mørk, Y. Martos, N. Balling, T. Funck, K. Kjeldsen, D. Petersen, U.
Gregersen, G. Dam, T. Nielsen, S. Khan and A. Løkkegaard. Greenland
Geothermal Heat Flow Database and Map (Version 1). 2022. Earth Systems
Science Data. 14: 2209–2238. doi: 10.5194/essd-14-2209-2022.
We compile and analyze all available geothermal heat flow measurements
collected in and around Greenland into a new database of 419 sites and
generate an accompanying spatial map. This database includes 290 sites
previously reported by the International Heat Flow Commission (IHFC), for
which we now standardize measurement and metadata quality. This database
also includes 129 new sites, which have not been previously reported by the
IHFC. These new sites consist of 88 offshore measurements and 41 onshore
measurements, of which 24 are subglacial. We employ machine learning to
synthesize these in situ measurements into a gridded geothermal heat flow
model that is consistent across both continental and marine areas in and
around Greenland. This model has a native horizontal resolution of 55 km. In
comparison to five existing Greenland geothermal heat flow models, our model
has the lowest mean geothermal heat flow for Greenland onshore areas. Our
modeled heat flow in central North Greenland is highly sensitive to whether
the NGRIP (North GReenland Ice core Project) elevated heat flow anomaly is
included in the training dataset. Our model's most distinctive spatial
feature is pronounced low geothermal heat flow (< 40 mW m−2) across the
North Atlantic Craton of southern Greenland. Crucially, our model does not
show an area of elevated heat flow that might be interpreted as remnant from
the Icelandic plume track. Finally, we discuss the substantial influence of
paleoclimatic and other corrections on geothermal heat flow measurements in
Greenland. The in situ measurement database and gridded heat flow model, as
well as other supporting materials, are freely available from the GEUS
Dataverse (https://doi.org/10.22008/FK2/F9P03L; Colgan and Wansing, 2021).
"""
),
"citation": {
"text": (
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# with a list comprehension as well, as long as you assign it to a variable.
geothermal_heat_flow = Layer(
id="geothermal_heat_flow_map",
title="Flow from multiple observations (55km)",
title="Gridded heat flow (55km)",
style="geothermal_heat_flow_map",
description=(
"""Geothermal heat flow map from machine-learning algorithm (55 km
native resolution)."""
native resolution). Gridded from measurements in "Flow measurement locations"
layer."""
),
tags=[],
input=LayerInput(
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id="geothermal_heat_flow_measurements",
title="Flow measurement locations",
description=(
"""Heat flow measurement database used in the creation of the 'Flow from
multiple observations (55km)' layer."""
"""Heat flow measurement database used in the creation of the "Gridded heat flow
(55km)" layer."""
),
tags=[],
input=LayerInput(
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