The Diurnal Cycle of Precipitation over Lake Titicaca Basin Based on CMORPH
Atmosphere, 2022 This paper examines the diurnal cycle of precipitation (DCP) over Lake Titicaca basin (LTb) during the summertime months based on the high spatial–temporal resolution (8 × 8 km2 and hourly) estimates of the Climate Prediction Center Morphing technique ...
Eleazar Chuchon Angulo +2 more
exaly +5 more sources
Evaluation of latest TMPA and CMORPH satellite precipitation products over Yellow River Basin
Water Science and Engineering, 2016 The main objective of this study was to evaluate four latest global high-resolution satellite precipitation products (TMPA 3B42RT, CMORPH, TMPA 3B42V7, and CMORPH_adj) against gauge observations of the Yellow River Basin from March 2000 to December 2012.
Liliang Ren
exaly +5 more sources
Urbanization effect on precipitation over the Pearl River Delta based on CMORPH data
Advances in Climate Change Research, 2015 Based on the satellite data from the Climate Prediction Center morphing (CMORPH) at very high spatial and temporal resolution, the effects of urbanization on precipitation were assessed over the Pearl River Delta (PRD) metropolitan regions of China ...
Sheng Chen +4 more
exaly +6 more sources
Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin [PDF]
Hydrology and Earth System Sciences, 2019 Satellite rainfall estimates (SREs) are prone to bias as they are indirect derivatives of the visible, infrared, and/or microwave cloud properties, and hence SREs need correction.
W. Gumindoga +5 more
doaj +7 more sources
Drought Monitoring Utility using Satellite-Based Precipitation Products over the Xiang River Basin in China [PDF]
Remote Sensing, 2019 Drought is a natural hazard disaster that can deeply affect environments, economies, and societies around the world. Therefore, accurate monitoring of patterns in drought is important.
Qian Zhu +5 more
doaj +4 more sources
Evaluation of Bias Correction Method for Satellite-Based Rainfall Data [PDF]
Sensors, 2016 With the advances in remote sensing technology, satellite-based rainfall estimates are gaining attraction in the field of hydrology, particularly in rainfall-runoff modeling. Since estimates are affected by errors correction is required.
Haris Akram Bhatti +4 more
doaj +4 more sources
Evaluation of precipitation from CMORPH, GPCP-2, TRMM 3B43, GPCC, and ITPCAS with ground-based measurements in the Qinling-Daba Mountains, China. [PDF]
PLoS ONE, 2017 The correspondence between five precipitation products, including CMORPH, GPCP-2, TRMM 3B43, GPCC, and ITPCAS, and ground-based measurements of precipitation were evaluated on annual, seasonal, and monthly scales during 2000-2014 in the Qinling-Daba ...
Gefei Wang +3 more
doaj +3 more sources
Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China [PDF]
Advances in Meteorology, 2015 This study conducted a comprehensive evaluation of three satellite precipitation products (TRMM (Tropical Rainfall Measuring Mission) 3B42, CMORPH (the Climate Prediction Center (CPC) Morphing algorithm), and PERSIANN (Precipitation Estimation from ...
Junzhi Liu +3 more
doaj +5 more sources
Evaluation of high-resolution precipitation estimates from satellites during July 2012 Beijing flood event using dense rain gauge observations. [PDF]
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 +11 more
doaj +3 more sources
Advances in Meteorology, 2021 This study evaluated three satellite precipitation products, namely, TRMM, CMORPH, and PERSIANN, over the Three Gorges Reservoir area in China at multiple timescales.
Tianyu Zhang +3 more
doaj +2 more sources