Evaluation of Three Satellite Precipitation Products TRMM 3B42, CMORPH, and PERSIANN over a Subtropical Watershed in China [PDF]
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 +4 more sources
Evaluation of CMORPH Precipitation Products at Fine Space–Time Scales
Abstract In this study, a comparison of the spatial patterns of high-resolution precipitation products obtained from the Climate Prediction Center’s morphing technique (CMORPH), which is a satellite-only product, and gauge-adjusted Next Generation Weather Radar (NEXRAD) rainfall observations is performed using a variety of statistical ...
Mekonnen Gebremichael
exaly +2 more sources
Remote sensing precipitation products are essential for the systematic analysis of precipitation characteristics and changes. This study conducts a comparative evaluation of precipitation products from rain gauge stations, Climate Prediction Center ...
Rui Wang +3 more
doaj +2 more sources
Accuracy of the CMORPH satellite-rainfall product over Lake Tana Basin in Eastern Africa [PDF]
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 H Habib
exaly +3 more sources
Comprehensive Evaluation of High-Resolution Satellite-Based Precipitation Products over China [PDF]
Characterizing the errors in satellite-based precipitation estimation products is crucial for understanding their effects in hydrological applications. Six precipitation products derived from three algorithms are comprehensively evaluated against gauge ...
Hao Guo +5 more
doaj +5 more sources
Bias correction schemes for CMORPH satellite rainfall estimates in the Zambezi River Basin [PDF]
Abstract. Obtaining reliable records of rainfall from satellite rainfall estimates (SREs) is a challenge as SREs are an indirect rainfall estimate from visible, infrared (IR), and/or microwave (MW) based information of cloud properties. SREs also contain inherent biases which exaggerate or underestimate actual rainfall values hence the need to apply ...
W. Gumindoga +4 more
openaire +3 more sources
Abstract Satellite Precipitation Estimations (SPEs) have gained traction as a viable substitute for estimating urban rainfall. However, their performance assessment in Malaysia continues to be constrained. As an effort to enhance urban rainfall estimations, this study examines the performance of Climate Prediction Center Morphing ...
V H Chai +4 more
openaire +2 more sources
Evaluation of Satellite Rainfall Estimates over the Chinese Mainland
Benefiting from the high spatiotemporal resolution and near-global coverage, satellite-based precipitation products are applied in many research fields.
Yaxin Qin +4 more
doaj +2 more sources
A Machine Learning-Based Dynamic SST Index for Long-Lead Malaria Prediction in the Peruvian Amazon. [PDF]
Abstract 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
Daily rainfall statistics of TRMM and CMORPH: A case for trans-boundary Gandak River basin
Satellite precipitation products offer an opportunity to evaluate extreme events (flood and drought) for areas where rainfall data are not available or rain gauge stations are sparse. In this study, daily precipitation amount and frequency of TRMM 3B42V.7 and CMORPH products have been validated against daily rain gauge precipitation for the monsoon ...
BRIJESH KUMAR +2 more
openaire +3 more sources

