Applying landscape and jurisdictional approaches for nature positive outcomes in beef-producing landscapes. [PDF]
Crouch B +5 more
europepmc +1 more source
Hydroclimate shapes photosynthetic sensitivity to cloud cover across global terrestrial ecosystems. [PDF]
Luo H +5 more
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Snow or rain? hybrid AI deciphers surface precipitation phase from satellite observations. [PDF]
Yang C +8 more
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The Climate Hazards Center Infrared Precipitation with Stations, Version 3. [PDF]
Funk C +18 more
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Enhancing Spatiotemporal Resolution of MCCA SMAP Soil Moisture Products over China: A Comparative Study of Machine Learning-Based Downscaling Approaches. [PDF]
Ma Z +7 more
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A Benchmark Dataset for Satellite-Based Estimation and Detection of Rain. [PDF]
Pfreundschuh S +19 more
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Beyond resolution: Multi-scale weather and climate data for alpine renewable energy in the digital twin era. [PDF]
Schicker I +5 more
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An Explainable Machine Learning Framework for Predicting West Nile Virus and Uncovering Key Transmission Drivers. [PDF]
Sainidis D, Tsaprailis K, Kontoes C.
europepmc +1 more source
Multi-Scale Fourier Temporal Network for Multi-Source Precipitation Nowcasting. [PDF]
Huang J, Yang S, Li X, Wu X.
europepmc +1 more source
[eng] Precipitation estimation is essential for understanding atmospheric processes, water resource management, and climate modeling. Advances in remote sensing, particularly the Global Precipitation Measurement (GPM) mission, have improved global precipitation coverage, especially in regions where traditional methods are insufficient. Since its launch
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