Results 21 to 30 of about 3,227 (223)
Towards a Machine Learning Snowfall Retrieval Algorithm for GPM-IMERG
Remote sensing of snowfall has been proved to be a great challenge since the start of the satellite era. Several techniques have been applied to satellite data to estimate the fraction of frozen precipitation that reaches the surface. This study aims at investigating the efficacy of machine learning (ML), and especially deep learning (DL), in ...
Ioannis Dravilas +4 more
openaire +2 more sources
Evaluation of a Novel Climate-Driven SIR Model for Cholera Prediction. [PDF]
Abstract The causative agent of cholera, Vibrio cholerae, is a bacterium native to the aquatic environment and commensal to zooplankton, namely copepods. V. cholerae thrives in warm, moderately saline water and its incidence is strongly influenced by environmental factors, which have proven critical for predictive awareness of cholera by identifying ...
Magers B +3 more
europepmc +2 more sources
Improving an Extreme Rainfall Detection System with GPM IMERG data [PDF]
Many studies have shown a growing trend in terms of frequency and severity of extreme events. As never before, having tools capable to monitor the amount of rain that reaches the Earth’s surface has become a key point for the identification of areas potentially affected by floods.
Mazzoglio, Paola +4 more
openaire +2 more sources
Evaluation of GPM IMERG Products for Extreme Precipitation over Indonesia
Abstract Accurate information on extreme rain is essential for vulnerability analysis and early warning systems of hydrometeorological disasters. One newly launched satellite that can provide information about extreme precipitation is the Global Precipitation Measurement (GPM), which produces half-hour grid data through the Integrated ...
Ravidho Ramadhan +7 more
openaire +1 more source
Satellite-based high-resolution mapping of rainfall over southern Africa [PDF]
A spatially explicit mapping of rainfall is necessary for southern Africa for eco-climatological studies or nowcasting but accurate estimates are still a challenging task. This study presents a method to estimate hourly rainfall based on data from the
H. Meyer, J. Drönner, T. Nauss
doaj +1 more source
Performance of Seven Gridded Precipitation Products over Arid Central Asia and Subregions
The evaluation of gridded precipitation products is important for the region where meteorological stations are scarce. To find out the applicable gridded precipitation products in arid Central Asia (ACA) for better follow-up research, this paper ...
Lingling Song +5 more
doaj +1 more source
To obtain independent, consecutive, and high-resolution precipitation data, the four-dimensional variational (4D-Var) method was applied to directly assimilate satellite precipitation products into the Weather Research and Forecasting (WRF) model.
Lu Yi, Wanchang Zhang, Kai Wang
doaj +1 more source
Assessment of Heavy Rainfall using GPM- IMERG Satellite Product over Nepal
This study evaluates the Integrated Multi-satellite Retrievals from Global Precipitation Measurement (IMERG) final product’s ability to represent the extreme precipitation against 310 observations from Nepal between 2015 and 2017. Additionally, Method of Object-based Diagnostic Evaluation (MODE) analysis was also performed to analyze IMERG ability to ...
Nirmala Regmi +4 more
openaire +2 more sources
Tropical Rainfall Measuring Mission (TRMM) and its successor, Global Precipitation Measurement (GPM), have provided hydrologists with important precipitation data sources for hydrological applications in sparsely gauged or ungauged basins.
Fei Yuan +7 more
doaj +1 more source
STUDY OF GPM-IMERG RAINFALL DATA PRODUCT FOR GANGOTRI GLACIER [PDF]
Abstract. This study presents a comparison of new generation weather observatory satellites Global Precipitation Measurement (GPM) Integrated Multi-satellite Retrievals for GPM (IMERG) rainfall products with field data collected for Gangotri glacier in India.
P. Verma, S. K. Ghosh
openaire +3 more sources

