Results 81 to 90 of about 4,537 (224)
Evaluation of Satellite-Based Rainfall Estimates in the Lower Mekong River Basin (Southeast Asia) [PDF]
Satellite-based precipitation is an essential tool for regional water resource applications that requires frequent observations of meteorological forcing, particularly in areas that have sparse rain gauge networks.
Bolten, John +3 more
core +1 more source
Being able to effectively identify clouds and monitor their evolution is one important step toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based cloud-image segmentation technique is developed using
Hayatbini, Negin +4 more
core
Dynamic Rainfall Erosivity Estimates Derived from GPM IMERG data
Abstract. Soil degradation is a critical threat to agriculture and food security around the world. Understanding the processes that drive soil erosion is necessary to support sustainable management practices and to reduce eutrophication of water systems from fertilizer runoff.
openaire +2 more sources
Abstract Aerosol particles play a crucial role in the global climate by absorbing and scattering radiation and influencing cloud properties. This study explores the role of resolved convection on precipitation and subsequent removal by wet deposition of aerosol in the Community Earth System Model (CESM2.1.0) by comparing two configurations with ...
Alison Banks +3 more
wiley +1 more source
The comprehensive assessment of the Integrated Multi-satellitE Retrievals for the Global Precipitation Measurement (IMERG) V05B is important for benchmarking the product’s continued improvement and future development.
Guanghua Wei +5 more
doaj +1 more source
Automated Satellite-Based Landslide Identification Product for Nepal [PDF]
Landslide event inventories are a vital resource for landslide susceptibility and forecasting applications. However, landslide inventories can vary in accuracy, availability, and timeliness as a result of varying detection methods, reporting, and data ...
Ahamed, Aakash +4 more
core +1 more source
Abstract As a key macrophysical property, cloud horizontal scale plays a critical role in cloud radiative effect (CRE), precipitation and convective structures. Until now, however, how cloud scales vary with surface temperature anomaly and their subsequent impacts on CRE and precipitation remains unclear.
Lijie Zhang +7 more
wiley +1 more source
Hierarchical Testing of a Hybrid Machine Learning‐Physics Global Atmosphere Model
Abstract Machine learning (ML)‐based models have demonstrated high skill and computational efficiency, often outperforming conventional physics‐based models in weather and subseasonal predictions. While prior studies have assessed their fidelity in capturing synoptic‐scale atmospheric dynamics, their performance across timescales and under out‐of ...
Ziming Chen +11 more
wiley +1 more source
Approximating Long-Term Statistics Early in the Global Precipitation Measurement Era [PDF]
Long-term precipitation records are vital to many applications, especially the study of extreme events. The Tropical Rainfall Measuring Mission (TRMM) has served this need, but TRMMs successor mission, Global Precipitation Measurement (GPM), does not yet
Adler, Robert F. +3 more
core +1 more source
The growing concerns about floods have highlighted the need for accurate and detailed precipitation data as extreme precipitation occurrences can lead to catastrophic floods, resulting in significant economic losses and casualties.
Mohammad Sadegh Keikhosravi-Kiany +1 more
doaj +1 more source

