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In this paper, we present a combined geospatial and two dimensional (2D) flood modeling approach to assess the impacts of flooding due to extreme rainfall events. We developed and implemented this app...
Triggered by two typhoons, heavy rainfall hit Kanto and Tohoku regions of Japan from September 9 to 11, 2015. Increased river water by the continuous rainfall overflowed and destroyed several river ba...
The development and the application of rainfall-runoff models have been a corner-stone of hydrological research for many decades. The amount of rainfall and its intensity and variability control the g...
The aim of this paper was to determine the influence of factors related to rainfall data on the uncertainty flood simulation. The calculations were based on a synthetic unit hydrograph NRCS-UH. Simula...
This study contributes to a better understanding of the spatial and temporal patterns of ecosystem dynamics in Southern Africa in response to climatic variability. First, we identified the areas where...
GIS are used for the rainfall-runoff model development and determining its parameters. GIS data comprise soil layer, topography including three dimensional data, and land cover data. Rainfall estimati...
Flood hazard is one of the most harmful disasters in the world, and it is significant to obtain information on flood characteristics for disaster mitigation as well as vulnerability assessment. This p...
Simulation of rainfall-runoff process is one of the most important research fields in hydrology and water resources. Generally, the models used in this section are divided into two conceptual and data...
Rainfall data is one of the meteorological parameters that have a greater bearing on the livelihood of individuals not only in Zambia but also the world over. It is therefore very important that quali...
Meteorological forcing is often identified as a major source of error in hydrological modeling. Traditionally, observations are through meteorological network that often yield incomplete and inaccurat...
Satellite meteorology is facing a crucial period of its history since recent missions have revealed instrumental for quantitative rainfall measurements from space and newly conceived missions are at ...
As part of a pilot project, a decision making assistance tool was developed; this was done considering the high sensitivity to rainfall variability in rice crops over the coastal region of Ecuador. T...
The spatial application of crop simulation models need grid based spatially distributed input of rainfall. The global products of satellite based rainfall estimation can provide spatial maps on regul...
The spatial relationship between vegetation patterns and rainfall as well as its trend over the period 1985-2000 in the shrubland, grassland, and cropland of the Middle Kazakhstan was investigated wi...
Given the new distribution policy of Eumetsat (free access to the data for open research and education), combined with the possibility to receive the data using a low cost ground receiving station, o...

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