نتایج جستجو برای: cmorph
تعداد نتایج: 135 فیلتر نتایج به سال:
Rainfall depth is a crucial parameter in water resources and hydrological studies. Rain gauges provide the most reliable point-based rainfall estimates. However, they do not have proper density/distribution to sufficient measurements many areas, especially arid regions. To evaluate adequacy of satellite datasets as an alternative rain gauges, Kingdom Saudi Arabia (KSA) selected for current stud...
Satellite remote sensing precipitation products with high temporal–spatial resolution and large area coverage have great potential in hydrometeorological research. This paper analyzes the performance of four satellite from 2000 to 2008 Yarlung Zangbo River Basin, namely Tropical Rainfall Measuring Mission (TRMM), Precipitation Estimation Remotely Sensed Information using Artificial Neural Netwo...
The Limpopo River basin (LRB) is known for its vulnerability to floods, high rates of evapotranspiration, and droughts that cause significant losses the local community. present study aimed perform simulations flood events occurring in two Mozambican sub-basins LRB, namely Chókwè Xai-Xai from 2000 2015 with TOPography-based hydrological MODEL (TOPMODEL) satellite remote sensing data. As input T...
Precipitation is a key hydrometeorological variable for understanding surface energy partitioning and water budget over the Tibetan Plateau (TP). A substantial proportion of summer precipitation falls as rain. The effects different land models (LSMs) on TP’s their inner mechanisms remain unclear. Therefore, assessments LSMs coupled with Weather Research Forecasting model in simulation were inve...
The skill of the diverse-based precipitation products is investigated in comparison with observed-derived HYBAM and GoAmazon TRMM-LBA field campaigns data. performance eight remote sensing-based datasets (CHIRPS, MSWEP, TRMM, CMORPH, IMERG, PERSIANN-CDR, PERSIANN-CCS-CDR, PERSIANN-CCS) evaluated from 1998 to 2009 considering different timescales (diurnal, intraseasonal, seasonal) for Amazon Bas...
Precise estimation of the spatial and temporal characteristics rainfall is essential for producing reliable catchment response needed proper management water resources. However, in most parts world, gauged stations are sparsely distributed fail to properly capture variability rainfall. Furthermore, data can sometimes be short length or require validation. Following this, we present a procedure ...
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