نتایج جستجو برای: trmm 3b42rt v7
تعداد نتایج: 2075 فیلتر نتایج به سال:
با توجه به اهمیت دادههای بارش در علوم مختلف و عدم وجود شبکه ی باران سنجی گسترده و مناسب لازم است داده های بارش به نحوی برآورد شوند. یکی از بهترین راههای برآورد بارش، استفاده از داده های ماهواره ای است. البته ضروری است که ارزیابی دقت این داده ها قبل از استفاده انجام شود. در مقاله حاضر به ارزیابی دقت داده های بارش ماهوارهای cmorph و 3b42rt v7 trmm در حوضه گرگانرود پرداخته شده است. بدین...
با توجه به اهمیت دادههای بارش در علوم مختلف و عدم وجود شبکه ی باران سنجی گسترده و مناسب لازم است داده های بارش به نحوی برآورد شوند. یکی از بهترین راههای برآورد بارش، استفاده از داده های ماهواره ای است. البته ضروری است که ارزیابی دقت این داده ها قبل از استفاده انجام شود. در مقاله حاضر به ارزیابی دقت داده های بارش ماهوارهای CMORPH و 3B42RT V7 TRMM در حوضه گرگانرود پرداخته شده است. بدین...
Rain gauge and satellite-retrieved data have been widely used in basin-scale hydrological applications. While rain gauges provide accurate measurements that are generally unevenly distributed in space, satellites offer spatially regular observations and common error prone retrieval. Comparative evaluation of gauge-based and satellite-based data is necessary in hydrological studies, as precipita...
Benefiting from the high spatiotemporal resolution and near-global coverage, satellite-based precipitation products are applied in many research fields. However, the applications of these products may be limited due to lack of information on the uncertainties. To facilitate applications of these products, it is crucial to quantify and document their error characteristics. In this study, four sa...
This study evaluated Tropical Rainfall Measuring Mission (TRMM) Multi-satellite Precipitation Analysis (TMPA) product i.e. TRMM 3B42 data, using data from 52 rain gauge stations around the Meichuan watershed, which is a representative watershed of Poyang Lake basin in China. Both the latest Version 7 (V7) and previous Version 6 (V6) of TRMM 3B42 data were compared and evaluated for a 9-year per...
This study evaluates rainfall estimates from the Next Generation Weather Radar (NEXRAD), operational rain gauges, Tropical Rainfall Measuring Mission (TRMM) Multisatellite Precipitation Analysis (TMPA), and Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks Cloud Classification System (PERSIANN-CCS) in the context as inputs to a calibrated, distributed hy...
Rainfall-runoff modelling is a useful tool for water resources management. This study presents a simple daily rainfall-runoff model, based on the water balance equation, which we apply to the 11,630 km2 Lesser Zab catchment in northeast Iraq. The model was forced by either observed daily rain gauge data from four stations in the catchment or satellite-derived rainfall estimates from two TRMM Mu...
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 (TRMM) Multi-satellite Precipitation Analy...
In this paper, we applied the support vector machine (SVM) to the spatial interpolation of the multi-year average annual precipitation in the Three Gorges Region basin. By combining it with the inverse distance weighting and ordinary kriging method, we constructed the SVM residual inverse distance weighting, as well as the SVM residual kriging precipitation interpolation model and compared them...
This paper describes improvements to the Tropical Rainfall Measurement Mission (TRMM) Microwave Imager (TMI) land rainfall algorithm in version 7 (v7) of the TRMM data products. The correlations between rain rates and TMI 85-GHz brightness temperatures (Tb) for convective and stratiform rain are generated using 7 years of collocated TMI and TRMM precipitation radar (PR) data. The TMI algorithm ...
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