Modeling intraseasonal features of 2004 North American monsoon precipitation [PDF]
, 2007 This study examines the capabilities and limitations of the fifth-generation Pennsylvania State University-National Center for Atmospheric Research Mesoscale Model (MM5) in predicting the precipitation and circulation features that accompanied the 2004 ...
Gao, X, Li, J, Sorooshian, S
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Bias Correction Methods Applied to Satellite Rainfall Products over the Western Part of Saudi Arabia
AtmosphereAccurate rainfall data with good spatial–temporal distribution remain a challenge worldwide, particularly in arid regions such as western Saudi Arabia, where variability critically influences water resource management and flood mitigation.
Ibrahim H. Elsebaie +3 more
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, 2018 Being able to effectively identify clouds and monitor their evolution is one important step toward more accurate quantitative precipitation estimation and forecast. In this study, a new gradient-based cloud-image segmentation technique is developed using
Hayatbini, Negin +4 more
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Daytime precipitation estimation using bispectral cloud classification system [PDF]
, 2010 Two previously developed Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN) algorithms that incorporate cloud classification system (PERSIANN-CCS) and multispectral analysis (PERSIANN-MSA) are integrated
Behrangi, A +3 more
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Evaluation and Comparison of Precipitation Datasets by Reanalysis and Satellite Models in Different Parts of Iran [PDF]
Water Harvesting ResearchRainfall is a crucial component of the hydrological cycle and plays a key role in water resource planning. Recent research has investigated the use of gridded data as a supplement to and replacement for traditional rain gauge measurements, particularly ...
Ali Gorjizade
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Precipitation Rate Estimates from Satellite Infrared Imagery: A New PERSIANN Model [PDF]
Bulletin of the American Meteorological Society, 2020 Phu Nguyen +7 more
openaire +1 more source
Investigating the impact of remotely sensed precipitation and hydrologic model uncertainties on the ensemble streamflow forecasting [PDF]
, 2006 In the past few years sequential data assimilation (SDA) methods have emerged as the best possible method at hand to properly treat all sources of error in hydrological modeling.
Hong, Y +3 more
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Impact of assimilating rainfall derived from radar and satellites on rainstorm forecasts over the Southwestern United States [PDF]
, 2004 The impact of assimilating rainfall derived from radar and satellites on rainstorm forecasts over the Southwestern United States is discussed. The major advantage of 4DVAR is the use of full model dynamics and physics to assimilate multiple-time-level ...
Gao, X, Sorooshian, S, Xiao, Q, Xu, J
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Temporal and spatial assessment of four satellite rainfall estimates over French Guiana and North Brazil [PDF]
, 2015 Satellite precipitation products are a means of estimating rainfall, particularly in areas that are sparsely equipped with rain gauges. The Guiana Shield is a region vulnerable to high water episodes.
Becker, M. +3 more
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Optimal selection of daily satellite precipitation product based on structural similarity index at 1 km resolution for the Pra catchment, Ghana. [PDF]
Sci Rep, 2023 Gyasi-Agyei Y +4 more
europepmc +1 more source