Results 51 to 60 of about 1,251 (184)

Evaluation of the Canadian Regional Climate Model in Simulating Extratropical Cyclones Over Northeastern North America

open access: yesJournal of Geophysical Research: Atmospheres, Volume 131, Issue 18, 28 September 2026.
Abstract The ability of convection‐permitting regional climate models to realistically simulate extratropical cyclones (ETCs) and associated near‐surface wind speeds and precipitation remains poorly documented. This study provides the first comprehensive evaluation of the sixth version of the Canadian regional climate model (CRCM) for this purpose over
Maxine Cloutier‐Gervais   +3 more
wiley   +1 more source

Performances of Satellite, Reanalysis, and Multisource Blended Precipitation Datasets for Afghanistan From 2008 to 2020

open access: yesMeteorological Applications, Volume 33, Issue 5, September/October 2026.
This study evaluates the performance of satellite‐based, reanalysis, and multisource blended precipitation datasets over Afghanistan during 2008–2020. The results reveal spatial and seasonal differences in dataset skill, particularly across complex terrain and arid regions.
Manli Su   +3 more
wiley   +1 more source

Reliability of Gridded Precipitation Products in the Yellow River Basin, China

open access: yesRemote Sensing, 2020
Gridded precipitation products are the potential alternatives in hydrological studies, and the evaluation of their accuracy and potential use is very important for reliable simulations.
Yanfen Yang, Jing Wu, Lei Bai, Bing Wang
doaj   +1 more source

Remote Sensing Hydrology Revisited: Advances, Persistent Challenges, and a Science‐Driven Agenda for the Next Decade

open access: yesWater Resources Research, Volume 62, Issue 9, September 2026.
Abstract 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 Earth Observation (EO ...
Yang Hong   +12 more
wiley   +1 more source

Assessing the Performance of the Satellite-Based Precipitation Products (SPP) in the Data-Sparse Himalayan Terrain

open access: yesRemote Sensing, 2022
Located on the south-facing slope of the Himalayas, Nepal receives intense, long-lasting precipitation during the Asian summer monsoon, making Nepal one of the most susceptible countries to flood and landslide hazards in the region.
Sonu Kumar   +7 more
doaj   +1 more source

Progressive Enhancement in the Prediction of Subseasonal Tropical Convection in NOAA Dynamical Forecast Systems

open access: yesGeophysical Research Letters, Volume 53, Issue 15, 16 August 2026.
Abstract This study evaluates subseasonal tropical convection prediction in NOAA's Global Ensemble Forecast System version 13 (GEFSv13) ensemble prototypes by comparing their performance with the operational GEFSv12 and the Climate Forecast System version 2 (CFSv2).
Wanqiu Wang   +4 more
wiley   +1 more source

Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in eastern Africa

open access: yes, 2016
In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall ...
Yan, F.   +2 more
core   +1 more source

Performance evaluation of CMORPH satellite precipitation product in the Zambezi Basin

open access: yes, 2020
For evaluation of the Climate Prediction Center-MORPHing (CMORPH) satellite rainfall product in the Zambezi Basin, daily time series (1998–2013) of 60 rain gauge stations are used.
Rientjes, T.H.M.   +2 more
core   +1 more source

MAUSAM: An Observations‐Focused Assessment of Global AI Weather Prediction Models During the South Asian Monsoon

open access: yesJournal of Advances in Modeling Earth Systems, Volume 18, Issue 8, August 2026.
Abstract Past evaluation of artificial intelligence (AI) weather prediction has primarily relied on reanalyses, which can obscure important deficiencies due to prevailing biases in reanalyses themselves. Here, we present MAUSAM (Measuring AI Uncertainty during South Asian Monsoon), an evaluation of seven leading AI‐based prediction systems—FourCastNet,
Aman Gupta, Aditi Sheshadri, Dhruv Suri
wiley   +1 more source

Evaluation of Six Satellite-Based Precipitation Products and Their Ability for Capturing Characteristics of Extreme Precipitation Events over a Climate Transition Area in China

open access: yesRemote Sensing, 2019
Extreme precipitation has received much attention because of its implications for hazard assessment and risk management. However, accurate precipitation information for extreme precipitation research from dense rain gauges is still difficult to obtain in
Jie Liu   +5 more
doaj   +1 more source

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