Andy Fox 🛰️ 🌎 🌦️ ❄️ 🌲

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...

#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/...

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...

#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/...

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...

# mustreadlater "Risk of unavoidable impacts on forests at 1.5oc" Munday et al., Nature Climate Change 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...

#mustreadlater "Soil moisture gradients strengthen mesoscale convective systems by increasing wind shear" Barton et al., Nature Geosciences
www.nature.com/articles/s41...

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...

#mustreadlater "Timescale Matters: Finer Temporal Resolution Influences Driver Contributions to Global Soil Respiration" Laffitte et al. GCB onlinelibrary.wiley.com/doi/epdf/10....

Changes in the Regional Water Cycle and Their Impact on Societies The Water Stress Index (WSI), which is the ratio of human demand for to availability of blue water, is very uncertain in the present day but likely to show large unsustainable increase in some region...

#mustreadlater "Changes in the Regional Water Cycle and Their Impact on Societies" Lambert et al, WIRES Climate Change wires.onlinelibrary.wiley.com/doi/full/10....

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 ...

#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...

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

🌤️ 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...

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

#mustreadlater Enhancing sub-seasonal soil moisture forecasts through land initialization Duan et al., npj Climate and Atmospheric Science www.nature.com/articles/s41...

Advances in land surface forecasting: a comparison of LSTM, gradient boosting, and feed-forward neural networks as prognostic state emulators in a case study with ecLand Abstract. The most useful weather prediction for the public is near the surface. The processes that are most relevant for near-surface weather prediction are also those that are most interactive and e...

#mustreadlater Advances in land surface forecasting... Wesselkamp et al., 2025, GMD

gmd.copernicus.org/articles/18/...

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 ...

#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

Spatial resolution for forest carbon maps

#mustreadlater Spatial resolution for forest carbon maps | Science www.science.org/doi/10.1126/...

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...

#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/...

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...

#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....

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.

#mustreadlater Wildfires offset the increasing but spatially heterogeneous Arctic–boreal CO2 uptake, Virkkala et al. Nature Climate Change
www.nature.com/articles/s41...

The joint assimilation of satellite observed LAI and soil moisture for the global root zone soil moisture production and its impact on land surface and ecosystem variables This study focused on the production of 18-year global root zone soil moisture (RZSM) by the joint land surface data assimilation using the satellite …

#mustreadlater The joint assimilation of satellite observed LAI and soil moisture... AFM, Xu et al., 2025

www.sciencedirect.com/science/arti...

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...

#mustreadlater The 4DEnVar-based weakly coupled land data assimilation system for E3SM version 2. Shi et al., 2024. GMD

gmd.copernicus.org/articles/17/...

#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...

GitHub - ecmwf-ifs/ecland: ecLand ecLand. Contribute to ecmwf-ifs/ecland development by creating an account on GitHub.

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....

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...

#mustreadlater Large global-scale vegetation sensitivity to daily rainfall variability. Feldman et al. 2024. Nature

rdcu.be/d3Vzb

Goodbye @agu.org 2024! 👋

(Landmarks labelled for non-US based followers 😉)

📷 @amfox37.bsky.social #AGU24

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…

#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...

Reimagining Earth in the Earth System Nature-based climate solutions have been advocated for centuries, but have been distorted by academic bias and colonialist prejudice Earth system science, while recognizing the climate services o...

#mustreadlater "Reimagining Earth in the Earth System", Bonan et al in JAMES

agupubs.onlinelibrary.wiley.com/doi/full/10....

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...

#mustreadlater "Pushing the frontiers in climate modelling and analysis with machine learning", perspective in Nature Climate Change
www.nature.com/articles/s41...

Near-term ecological forecasting for climate change action - Nature Climate Change In this Perspective, the authors discuss the current status of ecological forecasting research, its role in helping to address the climate and biodiversity crises facing society and potential future d...

#mustreadlater "Near-term ecological forecasting for climate change action", a perspective in Nature Climate Change
www.nature.com/articles/s41...

My #mustreadlater, which is genuinely my reading list and apparently several other folks find useful, will be moving here shortly...