fix august news

content/news/2401Pavel.md

@@ -1,8 +1,8 @@
 ---
 date: 2024-01-02T09:29:16+10:00
-title: "Data-driven equation discovery ocean model by Pavel"
+title: "Data-driven equation discovery ocean model"
 heroHeading: ''
-heroSubHeading: 'Data-driven equation discovery ocean model by Pavel'
+heroSubHeading: 'Data-driven equation discovery ocean model'
 heroBackground: ''
 thumbnail:  'images/news/2401Pavel.png'
 images: ['images/news/2401Pavel.png']

content/news/2402Bhouri.md

@@ -1,6 +1,6 @@
 ---
 date: 2024-02-03T09:29:16+10:00
-title: "Stress-testing the coupled behavior of hybrid physics-machine simulations by Bhouri"
+title: "Stress-testing the coupled behavior of hybrid physics-machine simulations"
 heroHeading: ''
 heroSubHeading: 'Stress-testing the coupled behavior of hybrid physics-machine learning climate simulations on an unseen, warmer climate'
 heroBackground: ''

content/news/2404Qu.md

@@ -1,6 +1,6 @@
 ---
 date: 2024-04-02T09:29:16+10:00
-title: "Joint Parameter and Parameterization Inference by Yongquan Qu"
+title: "Joint Parameter and Parameterization Inference"
 heroHeading: ''
 heroSubHeading: 'Joint Parameter and Parameterization Inference with Uncertainty Quantification through Differentiable Programming'
 heroBackground: ''

content/news/2408Bonan.md

@@ -0,0 +1,12 @@
+---
+date: 2024-08-03T09:29:16+10:00
+title: "Constraints imply limited future weakening of AMOC"
+heroHeading: ''
+heroSubHeading: 'Constraints imply limited future weakening of AMOC'
+heroBackground: ''
+thumbnail:  'images/publications/btsz_2024.png'
+images: ['images/publications/btsz_2024.png']
+link: 'https://www.researchsquare.com/article/rs-4456168/v1'
+---
+
+Climate models show varied predictions for the weakening of the Atlantic meridional overturning circulation (AMOC) this century. Researchers, including **Laure Zanna** and CliMA members, reduced this uncertainty by linking AMOC strength to the meridional density difference and overturning depth. They found that models with a deeper present-day overturning predict greater weakening due to less stratified North Atlantic waters. Using observational data, they estimate a modest AMOC weakening of about 4 Sv by century's end, regardless of emissions. The [study](https://www.researchsquare.com/article/rs-4456168/v1) highlights that inaccuracies in current ocean stratification models lead to exaggerated predictions of AMOC weakening.

content/news/2408Gorman.md

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+---
+date: 2024-08-02T09:29:16+10:00
+title: "Bringing Statistics to Storylines!"
+heroHeading: ''
+heroSubHeading: 'Rare Event Sampling for Sudden, Transient Extreme Events'
+heroBackground: ''
+thumbnail:  'images/news/2408Gorman.png'
+images: ['images/news/2408Gorman.png']
+link: 'https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004264'
+---
+
+Accurately modeling extreme weather events is a major goal in climate science and weather risk management. High-resolution computational models provide precise data but are costly for capturing rare events. This [study](https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2024MS004264) focuses on localized, short-lived events like heavy precipitation. The researchers, including **Paul O’Gorman**, developed a more efficient method for sampling these events by combining adaptive multilevel splitting (AMS) and “ensemble boosting.” The new approach, tested on the Lorenz-96 model, improved the sampling of extreme events by a factor of 10. This method helps efficiently simulate sudden, transient weather extremes, advancing efforts to model these events in atmospheric models.