Results 11 to 20 of about 956 (146)
On CMORPH Rainfall for Streamflow Simulation in a Small, Hortonian Watershed
Journal of Hydrometeorology, 2011 Abstract The objective is to assess the use of the Climate Prediction Center morphing method (CMORPH) (~0.073° latitude–longitude, 30 min resolution) rainfall product as input to the physics-based fully distributed Gridded Surface–Subsurface Hydrologic Analysis (GSSHA) model for streamflow simulation in the small (21.4 km2) Hortonian ...
Mekonnen Gebremichael +2 more
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Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the Upper Zambezi Basin [PDF]
Journal of Hydrology: Regional Studies, 2020 This study investigates propagation effects of CMORPH rainfall estimation errors on streamflow simulation for a headwater catchment of the Zambezi River. Model simulations (2006-2012) by the Representative Elementary Watershed (REW) framework are carried out for uncorrected and for bias corrected CMORPH product (the Climate Prediction Center Morphing ...
Webster Gumindoga +4 more
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A Machine Learning-Based Dynamic SST Index for Long-Lead Malaria Prediction in the Peruvian Amazon. [PDF]
GeohealthAbstract Malaria imposes a major health burden in the Peruvian Amazon, and its early warning is essential for effective disease prevention. The tropical sea surface temperature (SST) variability, fundamentally shaping the global weather patterns, may also alter malaria transmission and potentially improve its long‐lead predictability. In this study, we
Pan M +7 more
europepmc +2 more sources
Combining CMORPH and Rain Gauges Observations over the Rio Negro Basin [PDF]
Journal of Hydrometeorology, 2012 Abstract Several algorithms that combine daily precipitation surface data and satellite Climate Prediction Center Morphing Technique (CMORPH) estimations were implemented and tested for the Rio Negro basin in northeastern Uruguay. Bias removal of satellite data through quantile matching—which requires historical data on nearby rain ...
De Vera, Alejandra, Terra, Rafael
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Hydrologic evaluation of bias corrected CMORPH rainfall estimates at the headwater catchment of the Zambezi River [PDF]
Physics and Chemistry of the Earth, Parts A/B/C, 2020 Uncorrected and bias corrected CMORPH satellite-based rainfall estimates were evaluated for application in the Representative Elementary Watershed (REW) modelling approach in the Kabompo Basin, a headwater catchment of the Zambezi River. Results of modelling (2008–2013) by use of raingauge rainfall served as benchmark to the simulation results.
Gumindoga, W. +4 more
openaire +4 more sources
American Journal of Climate Change, 2021 Being largely dependent on agriculture, the overall development and water resource management of Bangladesh are greatly influenced by the accurate estimation of precipitation. Different satellite derived precipitation products, covering a large area, are very useful for rainfall estimation.
Deepa Roy, Sharmin Banu
exaly +3 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 ...
Wang G, Zhang P, Liang L, Zhang S.
europepmc +2 more sources
Assessment of SM2RAIN-ASCAT and CMORPH satellite precipitation products over Maharlu Lake basin in Iran [PDF]
Water Science and Technology: Water Supply, 2020 AbstractIn recent years, the use of climatic databases and satellite products by researchers has become increasingly common in the field of climate modeling and research. These datasets play an important role in developing countries. This study evaluated two reanalyses, CMORPH and SM2RAIN-ASCAT over Maharlu Lake, a semi-arid region in Iran. The results
Hassan Ahmadi +2 more
exaly +2 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 Remotely Sensed Information using Artificial Neural Networks)) using data from 52 rain gauge stations ...
Junzhi Liu +3 more
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Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in Eastern Africa [PDF]
Atmospheric Research, 2015 Abstract In this study, we assessed the accuracy of rainfall occurrence, amount and distribution over the Lake Tana basin in Ethiopia, Eastern Africa, as represented in the NOAA satellite-based Climate Prediction Center Morphing technique (CMORPH) rainfall product. This analysis is carried out at high spatial and temporal resolutions (8 × 8 km 2 and
Alemseged Tamiru Haile, Emad Habib
exaly +3 more sources