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High-precision retrieval of rainfall over large areas is of great importance for the research of atmospheric detection and the social life. With the rapid development of communication satellite constellations and 5G communication networks, the use of ...
Yingcheng Zhao +4 more
doaj +1 more source
Intercomparison of satellite-based and model-based rainfall analyses [PDF]
Four satellite rain estimations based on microwave (MW), infrared (IR) or combined MW-IR techniques are compared with the BOlogna Limited Area Model (BOLAM) rain forecast for a severe weather event (8–13 November 2001) over the western Mediterranean Sea.
S. Davolio +8 more
core +1 more source
Implications for Validation of IMERG Satellite Precipitation in a Complex Mountainous Region
Satellite-based precipitation retrievals such as the Integrated Multi-satellite Retrievals for Global Precipitation Measurement (IMERG), provide alternative data in mountainous regions.
Luhan Li +7 more
doaj +1 more source
Spatial and temporal variability of rainfall over the south-west coast of Bangladesh [PDF]
This study examined the spatial and temporal rainfall variability from the 1940s to 2007 in the south west coastal region of Bangladesh. Time series statistical tests were applied to examine the spatial and temporal trends in three time segments (1948 ...
Datta, Dilip Kumar +8 more
core +2 more sources
Assessing a risk-avoidance navigation system based on localized torrential rain data [PDF]
Localized torrential rainfall events and related traffic problems are increasing in Japan, suggesting the need for a navigation-alert system to help drivers avoid such risks.
Ito Sadanori, Koji Zettsu
doaj +1 more source
Spatial-temporal rainfall simulation using generalized linear models [PDF]
We consider the problem of simulating sequences of daily rainfall at a network of sites in such a way as to reproduce a variety of properties realistically over a range of spatial scales.
Yang, C +7 more
core +1 more source
MAX-STABLE PROCESS WITH GEOMETRIC GAUSSIAN MODEL ON RAINFALL DATA IN SEMARANG CITY
Spatial extreme value (SEV) is a statistical technique for modeling extreme events at multiple locations with spatial dependencies between locations. High intensity rainfall can cause disasters such as floods and landslides.
Arief Rachman Hakim +3 more
doaj +1 more source
The influence of effective rainfall on modeled runoff hydrograph [PDF]
Influence of the pattern of effective rainfall on modeled hydrograph was investigated in the study. The\ud modelling was performed with the U.S.
Luka Dirnbek +5 more
core +1 more source
Predicting Rainfall in the Context of Rainfall Derivatives Using Genetic Programming [PDF]
Rainfall is one of the most challenging variables to predict, as it exhibits very unique characteristics that do not exist in other time series data. Moreover, rainfall is a major component and is essential for applications that surround water resource ...
Kampouridis, Michael +7 more
core +1 more source
Objective In this study, we aimed to investigate the clinical epidemiology of lower respiratory tract infections with different respiratory syncytial virus (RSV) subtypes in hospitalized children in Suzhou and their correlation with climatic and ...
Wanying Zhi +8 more
doaj +1 more source

