Results 61 to 70 of about 2,560 (196)

Bias adjustment of infrared-based rainfall estimation using Passive Microwave satellite rainfall data [PDF]

, 2017
This study explores using Passive Microwave (PMW) rainfall estimation for spatial and temporal adjustment of Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Cloud Classification System(PERSIANN-CCS).
Adler, Barret, Behrangi, Behrangi, Calheiros, Chen, Ciach, Ferraro, Griffith, Hong, Huffman, Joyce, Joyce, Kidd, Kidd, Krajewski, Kuligowski, Kuligowski, Kummerow, Lin, Marzano, Piman, Rosenfield, Scofield, Tapiador, Todd, Vicente, Weng, Wu, Zhang   +29 more
core   +1 more source

A Machine Learning Approach for Improving the Accuracy of Gridded Precipitation With Uncertainty Quantification

International Journal of Climatology, Volume 46, Issue 1, January 2026.
A novel machine learning (ML) approach combining extreme gradient boosting with quantile regression is used to create Vietnam Precipitation with Uncertainty (VNpu). Our VNpu dataset outperforms individual input products, benchmark interpolation methods and an existing gauge‐based product, particularly for heavy and extreme rainfall events. ABSTRACT The
Vinh Ngoc Tran, Manh‐Hung Le, Tam V. Nguyen, Trong Dieu Hien Le, Hung T. T. Nguyen, Hong Xuan Do, Binh Quang Nguyen, Doan Van Binh, Tu Hoang Le, Hung Thanh Pham, Hoang Tran, Thanh Duc Dang, John D. Bolten, Tan Phan‐Van, Thanh Ngo‐Duc, Venkataraman Lakshmi   +15 more
wiley   +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

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

SMAP Satellite Microwave Radiometry to Monitor River Flow and Lake Level in the Lower Mekong Basin

Earth and Space Science, Volume 13, Issue 1, January 2026.
Abstract The NASA Soil Moisture Active Passive Mission (SMAP) satellite passive microwave radiometry (PMR) capability is demonstrated for measurements of river stage, river discharge, and lake level with in situ gauging data in the Lower Mekong Basin (LMB).
A. Podkowa, S. V. Nghiem, Z. Kugler, G. R. Brakenridge   +3 more
wiley   +1 more source

Comparative Evaluation of Gridded Precipitation Datasets in Capturing Hydrological Extremes in a Mesoscale Heterogeneous Catchment in Austria

Hydrological Processes, Volume 39, Issue 12, December 2025.
Although all precipitation products performed relatively poor in representing extreme precipitation events, their performance varied across elevations. Furthermore, SPARTACUS v2.1 and IMERG‐F v07 generated streamflow simulations that broadly align with observations. However, CHIRPS v2.0 and ERA5‐Land underperformed.
Zryab Babker, Mohammed Basheer, Tim G. Reichenau, Jürgen Komma, Oscar M. Baez‐Villanueva, Morteza Zargar, Karl Schneider   +6 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

Evaluation and comparison of satellite precipitation estimates with reference to a local area in the Mediterranean Sea [PDF]

, 2014
Precipitation is one of the major variables for many applications and disciplines related to water resources and the geophysical Earth system. Satellite retrieval systems, rain-gauge networks, and radar systems are complementary to each other in terms of
Hsu, KL, Lo Conti, F, Noto, LV, Sorooshian, S   +3 more
core   +2 more sources

Impacts of Spatial and Temporal Station Availability on Gridded Precipitation Products in Central America

Earth and Space Science, Volume 12, Issue 12, December 2025.
Abstract Gridded precipitation data sets have become essential for understanding climate variability and long‐term trends; however, their accuracy and reliability strongly depend on the availability and the spatial and temporal distribution of in situ meteorological observations. Here, we evaluate the performance of four gridded precipitation products:
Isabel González‐Méndez, Diego Pons, Talia G. Anderson, Irma Ayes Rivera, Kevin J. Anchukaitis   +4 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