Performance of bias-correction schemes for CMORPH rainfall estimates in the Zambezi River basin [PDF]
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]
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 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 +6 more sources
AbstractA Kalman filter (KF)-based Climate Prediction Center (CPC) morphing technique (CMORPH) algorithm is developed to integrate the passive microwave (PMW) precipitation estimates from low-Earth-orbit (LEO) satellites and infrared (IR) observations from geostationary (GEO) platforms.
Robert J. Joyce, Pingping Xie
openaire +2 more sources
Performance evaluation of CMORPH satellite precipitation product in the Zambezi Basin [PDF]
For evaluation of the Climate Prediction Center-MORPHing (CMORPH) satellite rainfall product in the Zambezi Basin, daily time series (1998–2013) of 60 rain gauge stations are used. Evaluations for occurrence and rain rate are at sub-basin scale and at daily, weekly, and seasonal timescale by means of probability of detection (POD), false alarm ratio ...
Gumindoga, W. +4 more
openaire +4 more sources
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
On CMORPH Rainfall for Streamflow Simulation in a Small, Hortonian Watershed
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
openaire +2 more sources
Propagation of CMORPH rainfall errors to REW streamflow simulation mismatch in the Upper Zambezi Basin [PDF]
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
openaire +4 more sources
Combining CMORPH and Rain Gauges Observations over the Rio Negro Basin [PDF]
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
openaire +3 more sources
A Step towards Integrating CMORPH Precipitation Estimation with Rain Gauge Measurements [PDF]
Accurate daily rainfall estimation is required in several applications such as in hydrology, hydrometeorology, water resources management, geomorphology, civil protection, and agriculture, among others. CMORPH daily rainfall estimations were integrated with rain gauge measurements in Brazil between 2000 and 2015, in order to reduce daily rainfall ...
Augusto José Pereira Filho +14 more
core +5 more sources

