Wildfires are an increasing hazard to ecosystems, air quality, and human systems, creating a growing need for datasets that support systematic development and evaluation of models for predicting fire spread across diverse landscapes. Effective prediction requires integrating meteorological conditions, fuels, vegetation...
Arya Kondur, Giosue Migliorini, Cameron Schmitt et al.· 0 citations
Soil moisture‐precipitation coupling critically shapes Earth's water and energy cycles, yet it remains difficult to quantify because land‐atmosphere interactions are nonlinear, multivariate, and state‐dependent. This study applies the High‐Dimensional Model Representation (HDMR) framework to observation‐based data sets...
Yi-Fu Gao, Run-Ze Li, Hai-Shan Chen et al.· Journal of Geophysical Resea...· 0 citations
Extending forecast lead times while maintaining predictive skill remains a major challenge in environmental forecasting. We investigate diffusion-based rollouts as a stabilization mechanism for recursive forecasting using low-dimensional water-level time series and high-dimensional precipitation fields. Across both mod...
Marina Vicens-Miquel, Amy McGovern, Aaron J. Hill et al.· 0 citations
In the WRR 50th Anniversary Special Collection, Lettenmaier et al. (2015, https://doi.org/10.1002/2015WR017616) provided a timely account of how satellite remote sensing evolved from a niche capability in hydrology into a mainstream driver of hydrologic discovery, as the community shifted from imagery toward validated...
Yang Hong, D. Lettenmaier, E. Foufoula-Georgiou et al.· Water Resources Research· 0 citations
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