Results 51 to 60 of about 1,454 (169)

Comparative Analysis of the Performance of Gridded Precipitation Products Over Iran [PDF]

Water Harvesting Research
Precipitation provides the most crucial input for hydrological modeling. Rainfall Estimation from rain gauges is the most common and traditional method have been used widely to measure rainfall at catchment scales.
Ali Gorjizadeh, Ali Moridi
doaj   +1 more source

Performance Assessment of Chirps, Persiann – CDR, IMERG, and TMPA Precipitation Products across Nepal

Journal of Advanced College of Engineering and Management, 2023
The observation of hydrological as well as meteorological data is very essential for any kind of hydraulic and hydrological study. In Nepal, due to the significant variation of topography and climatic characteristics as well it is necessary to establish the meteorological stations densely, here only 231 meteorological stations are available and are ...
Suraj Lamichhane, Nitesh Sharma, Nirajan Devkota   +2 more
openaire   +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

Evaluation of PERSIANN-CCS Rainfall Measurement Using the NAME Event Rain Gauge Network [PDF]

, 2007
Robust validation of the space-time structure of remotely sensed precipitation estimates is critical to improving their quality and confident application in water cycle-related research.
Hsu, Kuo-lin, Cheng, Jiang-tao, Sorooshian, Soroosh, Hong, Yang, Gochis, David   +4 more
core   +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 multiple bias correction methods with different satellite rainfall products in the Main Beles Watershed, Upper Blue Nile (Abbay) Basin, Ethiopia

Journal of Water and Climate Change, 2023
This study investigates the utility of satellite-based rainfall products and the performance of bias correction methods in one of the sub-basins of the Upper Blue Nile Basin (Main Beles basin).
Asmare Belay Nigussie, Hailu Wondmageghu Tenfie, Fasikaw A. Zimale, Andualem Endalew, Genet Wudiye   +4 more
doaj   +1 more source

Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations.

PLoS ONE, 2014
Satellite-based precipitation estimates products, CMORPH and PERSIANN-CCS, were evaluated with a dense rain gauge network over Beijing and adjacent regions for an extremely heavy precipitation event on July 21 2012. CMORPH and PEERSIANN-CSS misplaced the
Sheng Chen, Huijuan Liu, Yalei You, Esther Mullens, Junjun Hu, Ye Yuan, Mengyu Huang, Li He, Yongming Luo, Xingji Zeng, Guoqiang Tang, Yang Hong   +11 more
doaj   +1 more source

Examination and evaluation of multi-source monthly scale fusion precipitation product in China based on machine learning algorithm

暴雨灾害, 2023
Grid format precipitation products have better spatial monitoring capabilities compared to ground meteorological station observations, but there are significant differences in performance among different products.
Xuan YANG, Yan ZENG, Xinfa QIU, Xiaochen ZHU   +3 more
doaj   +1 more source

Passive Acoustic Monitoring and Deep Learning Reveal a Lag From Rainfall to Gibbon Song Across a Mosaic Forest Landscape

Ecology and Evolution, Volume 16, Issue 6, June 2026.
We deployed passive acoustic monitoring across three forest types in Central Kalimantan, Indonesia, and applied a pretrained deep learning automated detector to identify 83,956 Bornean white‐bearded gibbon (Hylobates albibarbis) great call vocalisations over 18 months.
Alasdair F. Owens, Erik Estrada, Kimberley J. Hockings, Muhammed Ali Imron, Mariaty, Manmohan D. Sharma, Siti Maimunah, Tommy J. Travers‐Cook, Frank J. F. Van Veen, Wendy M. Erb   +9 more
wiley   +1 more source

Performance of Seven Gridded Precipitation Products over Arid Central Asia and Subregions

Remote Sensing, 2022
The evaluation of gridded precipitation products is important for the region where meteorological stations are scarce. To find out the applicable gridded precipitation products in arid Central Asia (ACA) for better follow-up research, this paper ...
Lingling Song, Changchun Xu, Yunxia Long, Xiaoni Lei, Nanji Suo, Linlin Cao   +5 more
doaj   +1 more source