Auburn University researcher and team embark on soil moisture study combining big data, artificial intelligence and earth system modeling ocm.auburn.edu/newsroom/news_…

Our new research “Seasonal to multi-year soil moisture drought forecasting,” highlights challenges and opportunities in long-term drought forecasting. nature.com/articles/s4161…

Human imprint of water withdrawals in the wet environment: A case stud... sciencedirect.com/science/articl…

Auburn University researcher, team present new methods of drought forecasting yellowhammernews.com/auburn-univers…

Evaluation of Long‐Term Temperature Trend and Variability in CMIP6 Multimodel Ensemble - Duan - 2021 - Geophysical Research Letters - Wiley Online Library agupubs.onlinelibrary.wiley.com/doi/10.1029/20…

Training the Next Generation of Physical Data Scientists - Eos eos.org/opinions/train…

Central Continental Boreal Summer “Warming Holes” Modulated by Atlantic Multidecadal Oscillation Via Low‐Level Jets agupubs.onlinelibrary.wiley.com/doi/10.1029/20…

Auburn University discovers new ways to combat devastating droughts thisisalabama.org/2022/01/11/aub…

Auburn University professor selected to serve on the Predictability, Predictions and Applications Interface Panel of the US Climate Variability and Predictability Program ocm.auburn.edu/newsroom/news_… US CLIVAR

A Hybrid Physics-AI Model to Improve Hydrological Forecasts journals.ametsoc.org/view/journals/…

A Hybrid Physics–AI Model to Improve Hydrological Forecasts journals.ametsoc.org/view/journals/…

Robust Changes in North America's Hydroclimate Variability and Predictability agupubs.onlinelibrary.wiley.com/doi/full/10.10…

Overcoming barriers to enable convergence research by integrating ecological and climate sciences: The NCAR-NEON system Version 1 egusphere.copernicus.org/preprints/2023…

Soil moisture is a key factor in predicting droughts and floods resoilfoundation.org/en/?p=25367

A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections doi.org/10.1088/2752-5… via IOP Environment

Land Use Feedback under Global Warming – A Transition from Radiative to Hydrological Feedback Regime doi.org/10.1175/JCLI-D…

Addressing Non-Stationarity in Frequency-Based Streamflow Statistics by ... youtu.be/tKqQplxYPNw?si… via YouTube

A revised interpretation of signal-to-noise ratio paradox and its application to constrain regional climate projections doi.org/10.1088/2752-5… via IOP Environment

Uncertainty Quantification and Climate Change Risk Assessment youtu.be/Xo_T_3SPiAI?si… via YouTube

Enhancing sub-seasonal soil moisture forecasts through land initialization nature.com/articles/s4161…