Results 61 to 70 of about 1,454 (169)

Validation of ERA5‐Land Precipitation Data for Meteorological Drought Assessment in the Upper Vistula Basin, Central Europe

Meteorological Applications, Volume 33, Issue 3, May/June 2026.
The study evaluated the suitability of ERA5 Land for drought monitoring in the Upper Vistula Basin (Poland). In particular, meteorological drought expressed as Standardised Precipitation Index (SPI) has been analysed. As a result, the ERA5‐Land provided high accuracy for detecting short‐term droughts but underperformed in representing prolonged ...
Andrzej Wałęga, Alessandro Ceppi, Francesco Chiaravalloti, Alessandra De Marco, Krzysztof Kochanek, Dariusz Młyński, Tommaso Caloiero   +6 more
wiley   +1 more source

Assessment of TMPA 3B42V7 and PERSIANN-CDR in Driving Hydrological Modeling in a Semi-Humid Watershed in Northeastern China [PDF]

Remote Sensing, 2020
Recent developments of satellite precipitation products provide an unprecedented opportunity for better precipitation estimation, and thus broaden hydrological application. However, due to the errors and uncertainties of satellite products, a thorough validation is usually required before putting into the real hydrological application.
Zhang, Lu, Xin, Zhuohang, Zhou, Huicheng
openaire   +3 more sources

Decoupling Between Heavy Precipitation Expansion and Population Exposure in a Warming World

Earth's Future, Volume 14, Issue 5, May 2026.
Abstract Climate change is intensifying the global water cycle, amplifying heavy precipitation and associated flood risks. However, the spatial extent of heavy precipitation—a critical factor for assessing total societal impact—has been largely overlooked. Here, we develop a method to identify the spatial extent of heavy precipitation that incorporates
Han Zhou, Jiejun Huang, Yue Zhang, Xingwang Fan, Ximing Chen, Yaqi Sun, Wen Zhou   +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

Precipitation Biases Over the Southern Ocean in CMIP6, Reanalyses and Satellite‐Based Products

Journal of Geophysical Research: Atmospheres, Volume 131, Issue 2, 28 January 2026.
Abstract A set of gridded, satellite‐based, precipitation products has been used to assess the performance of 46 Coupled Model Intercomparison Project (CMIP6) atmospheric‐only simulations and 5 reanalyses over the Southern Ocean (SO) on daily timescales, in terms of total precipitation and variance, frequency and intensity of wet days, and seasonal ...
Joaquín E. Blanco, Steven T. Siems, Lisa V. Alexander   +2 more
wiley   +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

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

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

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

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