Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲
amfox37.bsky.social
Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲
@amfox37.bsky.social
Senior research scientist at the Global Modeling and Assimilation Office, NASA GSFC and GESTAR-II, Morgan State University
#mustreadlater
Combining Observations and Models: A Review of the CARDAMOM Framework for Data-Constrained Terrestrial Ecosystem Modeling
Worden et al, 2025 Global Change Biology onlinelibrary.wiley.com/doi/10.1111/...
Combining Observations and Models: A Review of the CARDAMOM Framework for Data‐Constrained Terrestrial Ecosystem Modeling
The rapid increase in the volume and variety of terrestrial biosphere observations offers a unique opportunity to derive ecological insights, refine process-based models, and improve forecasting for ....
onlinelibrary.wiley.com
August 26, 2025 at 6:24 PM
#mustreadlater
Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India - Ramarao - 2025 - Meteorological Applications - Wiley Online Library rmets.onlinelibrary.wiley.com/doi/10.1002/...
Impact of Assimilation of SMAP Satellite Soil Moisture Retrievals Into a High‐Resolution Regional Land Data Assimilation System Over India
Assimilated SMAP near real-time soil moisture (SM) data into an operational high-resolution regional Land Data Assimilation System in India. Verification with a network of SM observations indicat...
rmets.onlinelibrary.wiley.com
June 12, 2025 at 5:23 PM
#mustreadlater
Can Typical Land Surface Model Parameterizations Support the Expected Soil Moisture Assimilation Efficiency? - Zhou - 2025 - Water Resources Research - Wiley Online Library agupubs.onlinelibrary.wiley.com/doi/10.1029/...
Can Typical Land Surface Model Parameterizations Support the Expected Soil Moisture Assimilation Efficiency?
Data assimilation (DA) and merging schemes are compared to investigate soil moisture DA efficiency Data merging outperforms DA in regions with relatively poor land surface model (LSM) performance...
agupubs.onlinelibrary.wiley.com
May 23, 2025 at 11:20 PM
# mustreadlater "Risk of unavoidable impacts on forests at 1.5oc" Munday et al., Nature Climate Change www.nature.com/articles/s41...
Risks of unavoidable impacts on forests at 1.5 °C with and without overshoot - Nature Climate Change
The authors assess the risk of overshoot beyond 1.5 °C warming, using three scenarios with minimal overshoot, brief overshoot and sustained overshoot. They show a risk of long-term Amazon dieback, whi...
www.nature.com
May 13, 2025 at 5:19 PM
#mustreadlater "Soil moisture gradients strengthen mesoscale convective systems by increasing wind shear" Barton et al., Nature Geosciences
www.nature.com/articles/s41...
Soil moisture gradients strengthen mesoscale convective systems by increasing wind shear - Nature Geoscience
Large-scale soil moisture gradients can lead to increases in vertical wind shear that promote the growth of mesoscale convective systems and enhance rainfall, according to an analysis of global hotspo...
www.nature.com
April 8, 2025 at 5:44 PM
#mustreadlater "Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration" Laffitte et al. GCB onlinelibrary.wiley.com/doi/epdf/10....
Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration
This study compares deep learning models predicting global soil respiration (Rs) at monthly (MRM) and annual (ARM) scales from 1982 to 2018. Both models provide similar global Rs estimates, but diffe...
onlinelibrary.wiley.com
April 4, 2025 at 8:58 PM
#mustreadlater "A westward shift of heatwave hotspots caused by warming-enhanced land–air coupling." Zhang et al., Nature Climate Change www.nature.com/articles/s41...
A westward shift of heatwave hotspots caused by warming-enhanced land–air coupling - Nature Climate Change
Heatwaves are expected to become more frequent with warming, but how their spatial patterns change is not well understood. Here the authors show that heatwave hotspots in the Northern Hemisphere have ...
www.nature.com
March 22, 2025 at 5:19 PM
Reposted by Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲
🌤️ Our #AI weather forecasting model has been published today in Nature 🤖

🥇the first AI weather model to learn directly from raw environmental observations

🌎 compared to existing AI models it is cheaper to train, uses less carbon and easier to deploy locally

www.turing.ac.uk/news/fully-a...
Fully AI driven weather prediction system could start revolution in forecasting
A new AI weather prediction system, Aardvark Weather, can deliver accurate forecasts tens of times faster and using thousands of times less computing power t
www.turing.ac.uk
March 20, 2025 at 4:26 PM
#mustreadlater Enhancing sub-seasonal soil moisture forecasts through land initialization Duan et al., npj Climate and Atmospheric Science www.nature.com/articles/s41...
Enhancing sub-seasonal soil moisture forecasts through land initialization - npj Climate and Atmospheric Science
npj Climate and Atmospheric Science - Enhancing sub-seasonal soil moisture forecasts through land initialization
www.nature.com
March 13, 2025 at 8:32 PM
#mustreadlater agupubs.onlinelibrary.wiley.com/doi/10.1029/... The Role of Leaf Area Changes Within Plant CO2 Physiological Impacts on the Global Hydrological Cycle. Cordak et al., GRL
The Role of Leaf Area Changes Within Plant CO2 Physiological Impacts on the Global Hydrological Cycle
Leaf area growth influences surface water fluxes via canopy evaporation, which can offset transpiration declines due to rising CO2 Impacts of leaf area growth on the water cycle reduce plant CO2 ...
agupubs.onlinelibrary.wiley.com
January 26, 2025 at 7:27 PM
#mustreadlater Spatial resolution for forest carbon maps | Science www.science.org/doi/10.1126/...
Spatial resolution for forest carbon maps
www.science.org
January 25, 2025 at 9:29 PM
#mustreadlater Potential of long-term satellite observations and reanalysis products for characterising soil drying: trends and drought events. Hirshi et al., Hydrol. Earth Syst. Sci.

hess.copernicus.org/articles/29/...
Potential of long-term satellite observations and reanalysis products for characterising soil drying: trends and drought events
Abstract. Soil drying has multiple adverse impacts on the environment, society, and economy. Thus, it is crucial to monitor and characterise related drought events and to understand how underlying geo...
hess.copernicus.org
January 23, 2025 at 11:52 PM
#mustreadlater Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology... Pierrat et al., New Phytologist

nph.onlinelibrary.wiley.com/doi/full/10....
Proximal remote sensing: an essential tool for bridging the gap between high‐resolution ecosystem monitoring and global ecology
A new proliferation of optical instruments that can be attached to towers over or within ecosystems, or ‘proximal’ remote sensing, enables a comprehensive characterization of terrestrial ecosystem st...
nph.onlinelibrary.wiley.com
January 23, 2025 at 9:52 PM
#mustreadlater Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake, Virkkala et al. Nature Climate Change
www.nature.com/articles/s41...
Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake - Nature Climate Change
How the carbon stocks of the Arctic–Boreal Zone change with warming is not well understood. Here the authors show that wildfires and large regional differences in net carbon fluxes offset the overall increasing CO2 uptake.
www.nature.com
January 22, 2025 at 7:35 PM
#mustreadlater The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2. Shi et al., 2024. GMD

gmd.copernicus.org/articles/17/...
The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2
Abstract. A new weakly coupled land data assimilation (WCLDA) system based on the four-dimensional ensemble variational (4DEnVar) method is developed and applied to the fully coupled Energy Exascale E...
gmd.copernicus.org
December 17, 2024 at 7:27 PM
#mustreadlater Contributions of Irrigation Modeling, Soil Moisture and Snow Data Assimilation to High‐Resolution Water Budget. De Lannoy et al., 2024. JAMES

agupubs.onlinelibrary.wiley.com/share/W9DZUI...
Contributions of Irrigation Modeling, Soil Moisture and Snow Data Assimilation to High‐Resolution Water Budget Estimates Over the Po Basin: Progress Towards Digital Replicas
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agupubs.onlinelibrary.wiley.com
December 17, 2024 at 7:23 PM
Reposted by Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲
ECMWF has made the land-surface model component of our forecasting system (the IFS) open source. It's called ecLand, and can be found here: github.com/ecmwf-ifs/ec....
GitHub - ecmwf-ifs/ecland: ecLand
ecLand. Contribute to ecmwf-ifs/ecland development by creating an account on GitHub.
github.com
December 17, 2024 at 5:30 PM
#mustreadlater Large global-scale vegetation sensitivity to daily rainfall variability. Feldman et al. 2024. Nature

rdcu.be/d3Vzb
Large global-scale vegetation sensitivity to daily rainfall variability
Nature - Satellite data and field observations show that global annual-scale vegetation indices are sensitive to the daily frequency and intensity of rainfall, independent of the total amount of...
rdcu.be
December 17, 2024 at 6:57 PM
Reposted by Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲
Goodbye @agu.org 2024! 👋

(Landmarks labelled for non-US based followers 😉)

📷 @amfox37.bsky.social #AGU24
December 14, 2024 at 4:26 PM
#mustreadlater From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring. Nguyen et al, 2025(!) in Remote Sensing of the Environment

www.sciencedirect.com/science/arti...
From theory to hydrological practice: Leveraging CYGNSS data over seven years for advanced soil moisture monitoring
Soil moisture (SM) is a key variable in hydrometeorology and climate systems. With the growing interest in capturing fine-scale SM variability for eff…
www.sciencedirect.com
December 2, 2024 at 6:21 PM
#mustreadlater "Pushing the frontiers in climate modelling and analysis with machine learning", perspective in Nature Climate Change
www.nature.com/articles/s41...
Pushing the frontiers in climate modelling and analysis with machine learning - Nature Climate Change
Machine learning methods allow for advances in many aspects of climate research. In this Perspective, the authors give an overview of recent progress and remaining challenges to harvest the full poten...
www.nature.com
November 15, 2024 at 9:24 PM