Results 1 to 10 of about 11,820 (213)
Assessment of Satellite-Derived Precipitation Products for the Beijing Region [PDF]
Performance of four satellite precipitation products, namely, the China Meteorological Forcing Dataset (CMFD), Climate Prediction Center morphing technique (CMORPH), as well as 3B42 calibrated and 3B42-RT dataset, which are derived from the Tropical Rainfall Measuring Mission (TRMM) and Multi-satellite Precipitation Analysis (TMPA), were evaluated from
Zongxue Xu, Bo Pang, Wenfeng Liu
exaly +5 more sources
Evaluation of Six Satellite Precipitation Products over the Chinese Mainland
Satellite precipitation products have been applied to many research fields due to their high spatial and temporal resolution. However, satellite inversion of precipitation is indirect, and different inversion algorithms limit the accuracy of the measurement results, which leads to great uncertainty.
Zhenwei Liu, Zhenhua Di, Peihua Qin
exaly +3 more sources
Assessment and comparison of five satellite precipitation products in Australia
Quality satellite-derived precipitation products (SPPs) are needed for water resources inventories and management, particularly in poorly gauged regions around the world. The latest version of five SPPs were assessed against SILO (Scientific Information for Land Owners) gauge-based gridded precipitation dataset in Australia over a 5-year period from ...
Md Atiqul Islam +2 more
exaly +3 more sources
Evaluation of the Performance of Three Satellite Precipitation Products over Africa [PDF]
We present an evaluation of daily estimates from three near real-time quasi-global Satellite Precipitation Products—Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), and Climate Prediction Center (CPC) Morphing ...
Aleix Serrat-Capdevila +2 more
exaly +3 more sources
Object-Based Assessment of Satellite Precipitation Products [PDF]
An object-based verification approach is employed to assess the performance of the commonly used high-resolution satellite precipitation products: Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks (PERSIANN), Climate Prediction center MORPHing technique (CMORPH), and Tropical Rainfall Measurement Mission (TRMM ...
Jingjing Li 0004 +3 more
openaire +4 more sources
Probabilistic Precipitation Estimation with a Satellite Product [PDF]
Satellite-based precipitation products have been shown to represent precipitation well over Nepal at monthly resolution, compared to ground-based stations. Here, we extend our analysis to the daily and subdaily timescales, which are relevant for mapping the hazards caused by storms as well as drought. We compared the Tropical Rainfall Measuring Mission
Nir Krakauer +4 more
openaire +2 more sources
Error Analysis of Satellite Precipitation Products in Mountainous Basins [PDF]
AbstractAccurate quantitative precipitation estimation over mountainous basins is of great importance because of their susceptibility to hazards such as flash floods, shallow landslides, and debris flows, triggered by heavy precipitation events (HPEs).
Mei, Yiwen +3 more
openaire +1 more source
Validation of Satellite-Based Precipitation Products from TRMM to GPM [PDF]
The global precipitation measurement mission (GPM) has been in operation for seven years and continues to provide a vast quantity of global precipitation data at finer temporospatial resolutions with improved accuracy and coverage. GPM’s signature algorithm, the integrated multisatellite retrievals for GPM (IMERG) is a next-generation of precipitation ...
Jian-xin Wang +2 more
openaire +2 more sources
ASSESSMENT OF SATELLITE PRECIPITATION PRODUCTS IN THE PHILIPPINE ARCHIPELAGO [PDF]
Abstract. Precipitation is the most important weather parameter in the Philippines. Made up of more than 7100 islands, the Philippine archipelago is an agricultural country that depends on rain-fed crops. Located in the western rim of the North West Pacific Ocean, this tropical island country is very vulnerable to tropical cyclones that lead to severe ...
M. D. Ramos +5 more
openaire +3 more sources

