Results 51 to 60 of about 576 (159)

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

Journal 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, Alejandro Di Luca, Dominic Matte, Philippe Roy   +3 more
wiley   +1 more source

Performance Analysis of Precipitation Datasets at Multiple Spatio-Temporal Scales over Dense Gauge Network in Mountainous Domain of Tajikistan, Central Asia

Remote Sensing, 2023
Cryospheric and ecological studies become very complicated due to the absence of observed data, particularly in the mountainous regions of Central Asia.
Manuchekhr Gulakhmadov, Xi Chen, Aminjon Gulakhmadov, Muhammad Umer Nadeem, Nekruz Gulahmadov, Tie Liu   +5 more
doaj   +1 more source

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

Meteorological 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, Emily Black, Ross I. Maidment, Kang He   +3 more
wiley   +1 more source

Intercomparison of PERSIANN-CDR and TRMM-3B42V7 precipitation estimates at monthly and daily time scales [PDF]

Atmospheric Research, 2017
Abstract In the first part of this paper, monthly precipitation data from Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks–Climate Data Record (PERSIANN-CDR) and Tropical Rainfall Measuring Mission 3B42 algorithm Version 7 (TRMM-3B42V7) are evaluated over Iran using the Generalized Three-Cornered Hat (GTCH ...
Katiraie-Boroujerdy, Pari-Sima, Asanjan, Ata Akbari, Hsu, Kuo-lin, Sorooshian, Soroosh   +3 more
openaire   +3 more sources

Validation of PERSIANN Precipitation Product Using TAWN Rain Gauge Network Over Different Agro-climatic Zones in Tamil Nadu

Madras Agricultural Journal, 2021
Currently, several satellite-precipitation products were developed usingmultiple algorithms to estimate rainfall. This study carried out usingPrecipitation Estimation from Remotely Sensed Information using ArtificialNeural Networks (PERSIANN) product ...
Venkadesh Samykannu, Pazhanivelan, S
doaj   +1 more source

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

Water 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, Dennis P. Lettenmaier, Efi Foufoula‐Georgiou, Ana P. Barros, George J. Huffman, James S. Famiglietti, Dawen Yang, Tamlin M. Pavelsky, Soroosh Sorooshian, Taikan Oki, Siyu Zhu, Mengye Chen, Songkun Yan   +12 more
wiley   +1 more source

Evaluation of Gridded Precipitation Data for Hydrologic Modeling in North-Central Texas

Remote Sensing, 2022
Over the past few decades, several high-resolution gridded precipitation products have been developed using multiple data sources and techniques, including measured precipitation, numerical modeling, and remote sensing.
Ram L. Ray, Rajendra P. Sishodia, Gebrekidan W. Tefera   +2 more
doaj   +1 more source

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

Journal 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

Performance Evaluation of the MPAS Model in Simulating Southeast Asian Rainfall Characteristics

International Journal of Climatology, Volume 46, Issue 7, 15 June 2026.
This study evaluates the performance of the Model for Prediction Across Scales–Atmosphere (MPAS) in reproducing key rainfall characteristics over Southeast Asia (SEA) during 2000–2020, using the MSWEP dataset as reference. MPAS realistically captures the observed meridional rainfall gradient, with higher rainfall in the south and lower in the north, as
Nguyen Thanh Hung, Alugula Boyaj, Srivatsan V. Raghavan, Nguyen Ngoc Son, Bhenjamin Jordan Ona   +4 more
wiley   +1 more source

EVALUATION OF TRMM-3B42V7 AND PERSIANN-CDR DAILY-PRECIPITATION PRODUCTS FOR THE SOUTHERN SLOPES OF ALBORZ MOUNTAINS, IRAN [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019
The density of rain gauges in many regions is lower than standard. Therefore, there are no precise estimates of precipitation in such regions. Today the use of satellite data to overcome this deficiency is increasing day to day.
S. Khalighi-Sigaroodi, E. Ghaljaee, A. Moghaddam Nia, A. Malekian, F. Zhang   +4 more
doaj   +1 more source