Assessment of the two satellite-based precipitation products TRMM and RFE rainfall records using ground based measurements

Elhamid, Ahmed M.I. Abd; Eltahan, Abdelhamid M.H.; Mohamed, Lamees; Hamouda, Ismail A.

doi:10.1016/j.aej.2020.03.035

Cited by 31 publications

(18 citation statements)

References 14 publications

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“…Precipitation plays a crucial role in the water cycle [1,2]. As the output of weather systems and the main source of runoff, precipitation not only acts as an important bridge and link between the atmosphere and land, but also controls the availability of water [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Three High-Resolution Remote Sensing Precipitation Products on the Tibetan Plateau

Lü

Zhou

et al. 2022

Water

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Remote sensing precipitation products provide rich data for ungauged basins. Evaluating the accuracy and detection capability of remote sensing precipitation products is crucial before application. In this study, an index system in terms of quantitative differences, capturing capacity and precipitation distribution was constructed to evaluate three precipitation products, TRMM 3B42 V7, GPM IMERGE Final and CMORPH V1.0, at various temporal and spatial scales on the Tibetan Plateau from 2001 to 2016. The results show that the correlations among the three products were larger at the monthly scale than at the annual scale. The lowest correlations between the products and observation data were found in December. GPM performed the best at the monthly and annual scales. Particularly, the GPM product presented the best capability of detection of both precipitation and non-precipitation events among the three products. All three precipitation products overestimated 0.1~1 mm/day precipitation, which occurred most frequently. An underestimation of precipitation at 10~20 mm/day was observed, and this intensity accounted for the majority of the precipitation. All three precipitation products showed an underestimation in terms of the annual maximum daily precipitation. The accuracy of the same product varied in different regions of the Tibetan Plateau, such as the south, the southeast, eastern–central region and the northeast, and there was a certain clustering of the accuracies of neighboring stations. GPM was superior to TRMM and CMORPH in the southern Tibetan Plateau, making it recommended for applications.

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Section: Introductionmentioning

confidence: 99%

Evaluation of Three High-Resolution Remote Sensing Precipitation Products on the Tibetan Plateau

Lü

Zhou

et al. 2022

Water

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Section: Introductionmentioning

confidence: 99%

“…Precipitation is one of the most important components of the water cycle [1][2][3][4][5][6][7]. Accuracy of the precipitation data plays a vital role in the prediction of floods, droughts [4][5][6][7][8], and water resource management [1,3,[6][7][8][9]. Precipitation monitoring is performed in a variety of ways, such as traditional ground rain gauges, ground radar, and satellite monitoring [10,11].…”

Section: Introductionmentioning

confidence: 99%

“…With the development of aerospace and remote sensing technology, satellite precipitation monitoring has developed rapidly [3,5,10,12,15,16]. A large number precipitation products have emerged (Table 1) [1][2][3][4][16][17][18][19], and they can be divided into four groups: (1) precipitation products corrected by gauge data, such as Integrated Multi-satellitE Retrievals for GPM (GPM IMERG) final, Tropical Rainfall Measuring Mission (TRMM) 3B42 V7, Rainfall Estimate (RFE), Multi-Source Weighted-Ensemble Precipitation (MSWEP), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network-Climate Data Record (PERSIANN CDR), the Global Satellite Mapping of Precipitation (GSMaP) Gauge, Climate Hazards Infrared Precipitation with Stations (CHIRPS), and the Climate Prediction Center morphing technique (CMORPH);…”

Section: Introductionmentioning

confidence: 99%

“…So it is essential to analyze the performance of these products in different areas [14]. Elhamid et al [4], who evaluated TRMM 3B43 and RFE 2.0 precipitation data in the Sudan Blue Nile sub-basin, confirmed that the two precipitation datasets have good prediction and observation ability. Sungmin et al [20] evaluated the GPM-IMERG Early, Late, and Final precipitation products in the Wegenernet Feldbach region, southeastern Austria.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China

Liu

et al. 2021

Water

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The number of precipitation products at the global scale has increased rapidly, and the accuracy of these products directly affects the accuracy of hydro-meteorological simulation and forecast. Therefore, the applicability of these precipitation products should be comprehensively evaluated to improve their application in hydrometeorology. This paper evaluated the performances of six widely used precipitation products in southwest China by quantitative assessment and contingency assessment. The precipitation products were Tropical Rainfall Measuring Mission Multi-satellite Precipitation Analysis 3B42 version 7 (TRMM 3B42 V7), Global Satellite Mapping of Precipitation (GSMaP MVK), Integrated Multi-satellitE Retrievals for GPM final run (GPM IMERG Final), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Network—Climate Data Record (PERSIANN-CDR), Climate Hazards Infrared Precipitation with Stations version 2.0 (CHIRPS V2.0), and the Global Land Data Assimilation System version 2.0 (GLDAS V2.0). From the above six products, the daily-scale precipitation data from 2001 to 2019 were chosen to compare with the measured data of the rain gauge, and the data from the gauges were classified by river basin and elevation. All precipitation products and measured data were evaluated by statistical indicators. Results showed that (1) GPM IMERG Final and CHIRPS V2.0 performed well in the Yarlung Zangbo River (YZ) basin, while GPM IMERG Final and GLDAS V2.0 performed well in the Lantsang River (LS), Nujiang River (NJ), Yangtze River (YT), and Yellow River (YL) basins; (2) in the upper and middle reaches of the YZ basin, GPM IMERG Final and CHIRPS V2.0 were outstanding in all evaluated products; downstream of the YZ basin, all six products performed well; and upstream of the LS and NJ, GPM IMERG Final, TRMM 3B42 V7, CHIRPS V2.0, and GLDAS V2.0 can be recommended as a substitute for measured data; and (3) GPM IMERG Final and GLDAS V2.0 can be seen as substitutes for measured data when elevation is below 4000 m. GPM IMERG Final and CHIRPS V2.0 were recommended when elevation is above 4000 m. This study provides a reference for data selection of hydro-meteorological simulation and forecast in southwest China and also provides a basis for multi-source data assimilation and fusion.

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Verification of operational numerical weather prediction model forecasts of precipitation using satellite rainfall estimates over Africa

Wang

Gueye

Greybush

et al. 2023

Meteorological Applications

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Rainfall is an important variable to be able to monitor and forecast across Africa, due to its impact on agriculture, food security, climate-related diseases and public health. Numerical weather models (NWMs) are an important component of this work, due to their complete spatial coverage, high resolution and ability to forecast into the future. In this study, the spatio-temporal skill of short-term forecasts of rainfall across Africa from 2016 through 2018 is evaluated. Specifically, the European Centre for Medium-Range Weather Forecasts (ECMWF) and the National Centers for Environmental Prediction-Global Forecast System (NCEP-GFS) forecast models are verified by Rainfall Estimates 2.0 (RFE2) and African Rainfall Climatology Version 2 (ARC2), which are fused products of satellite and in situ observations and are commonly used in analysis of African rainfall. Model rainfall forecasts show good consistency with the satellite rainfall observations in spatial distribution over Africa on the Yan Wang and Moussa Gueye are contributed equally.

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Assessment of the two satellite-based precipitation products TRMM and RFE rainfall records using ground based measurements

Cited by 31 publications

References 14 publications

Evaluation of Three High-Resolution Remote Sensing Precipitation Products on the Tibetan Plateau

Evaluation of Three High-Resolution Remote Sensing Precipitation Products on the Tibetan Plateau

Evaluation of the Performance of Multi-Source Precipitation Data in Southwest China

Verification of operational numerical weather prediction model forecasts of precipitation using satellite rainfall estimates over Africa

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