Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin

Ji, Haoyu; Peng, Danling; Gu, Yu; Liang, Yaqi; Luo, Xiaoyu

doi:10.1038/s41598-022-17551-y

Cited by 23 publications

(8 citation statements)

References 64 publications

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“…The results implied that all three products generally show good performance in capturing the spatial distributions of torrential rainfall, with correlation coefficients of more than 0.45, whereas the capabilities in detecting extreme rainfall are limited. This is similar to the assessments of satellite products in the literature [28][29][30], which implied that all three satellite products fit well with the observations but overestimated the precipitation; TRMM obtained satisfactory results with smaller relative errors. As shown in this study, all three satellite products performed well in detecting rainfall in the coastal areas in China.…”

Section: Monitoring Capabilitiessupporting

confidence: 88%

Assessment of Satellite Products in Estimating Tropical Cyclone Remote Precipitation over the Yangtze River Delta Region

Wu,

Liu,

Liu

et al. 2024

Atmosphere

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Satellite products have shown great potential in estimating torrential rainfall due to their wide and consistent global coverage. This study assessed the monitoring capabilities of satellite products for the tropical cyclone remote precipitation (TRP) over the Yangtze River Delta region (YRDR) associated with severe typhoon Khanun (2017) and super-typhoon Mangkhut (2018). The satellite products include the CPC MORPHing technique (CMORPH) data, Tropical Rainfall Measuring Mission 3B42 Version 7 (TRMM 3B42), and Integrated Multi-satellite Retrievals for the Global Precipitation Measurement Mission (GPM IMERG). Eight precision evaluation indexes and statistical methods were used to analyze and evaluate the monitoring capabilities of CMORPH, TRMM 3B42, and GPM IMERG satellite precipitation products. The results indicated that the monitoring capability of TRMM satellite precipitation products was superior in capturing the spatial distribution, and GPM products captured the temporal distributions and different category precipitation observed from gauge stations. In contrast, the CMORPH products performed moderately during two heavy rainfall events, often underestimating or overestimating precipitation amounts and inaccurately detecting precipitation peaks. Overall, the three satellite precipitation products showed low POD, high FAR, low TS, and high FBIAS for heavy rainfall events, and the differences in monitoring torrential TRP may be related to satellite retrieval algorithms.

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Section: Monitoring Capabilitiessupporting

confidence: 88%

Assessment of Satellite Products in Estimating Tropical Cyclone Remote Precipitation over the Yangtze River Delta Region

Wu,

Liu,

Liu

et al. 2024

Atmosphere

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“…Their findings have highlighted the capability of the TRMM-2B31 dataset to accurately depict the distribution of topographic precipitation across large scales along the Himalayan fronts. The IMERG and the CMORP can objectively reflect the precipitation information for the Yarlung Zangbo River basin [26]. Zhan et al [27] reported that both calibrated and uncalibrated products of the Global Precipitation Measurement (GPM)-Era do not accurately recreate the frequency-intensity structure of hourly precipitation over the western Tibetan Plateau (WTP).…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Error Analysis of Multi-Source Precipitation Datasets during Summer over the Tibetan Plateau

Zhao,

Zhong

2024

Atmosphere

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Due to the scarcity of meteorological stations on the Tibetan Plateau (TP), owing to the high altitude and harsh climate, studies often resort to satellite, reanalysis, and merged multi-source precipitation data. This necessitates an evaluation of TP precipitation data applicability. Here, we assess the following three high-resolution gridded precipitation datasets: the China Meteorological Forcing Dataset (CMFD), the European Center for Medium-Range Weather Forecasts Reanalysis V5-Land (ERA5-Land), and Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) during TP summers. Using observations from the original 133 China Meteorological Administration stations on the TP as a reference, the evaluation yielded the following conclusions: (1) In summer, from 2000 to 2018, discrepancies among the datasets were largest in the western TP. The CMFD showed the smallest deviation from the observations, and the annual summer precipitation was only overestimated by 12.3 mm. ERA5-Land had the closest trend (0.41 mm/y) to the annual mean summer precipitation, whereas it overestimated the highest precipitation (>150 mm). (2) The reliability of the three datasets at annual and monthly scales was in the following order: CMFD, ERA5-Land, and IMERG. The daily scales exhibited a lower accuracy than the monthly scales (correlation coefficient CC of 0.51, 0.38, and 0.26, respectively). (3) The CMFD assessments, referencing the 114 new stations post-2016, had a notably lower accuracy and precipitation capture capability at the daily scale (CC and critical success index (CSI) decreased by 0.18 and 0.1, respectively). These results can aid in selecting appropriate datasets for refined climate predictions on the TP.

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“…Recent research on the GPM IMERG product focuses on evaluating the performance of the rainfall product at either daily or monthly scales [19][20][21][22] and spatially downscaling the rainfall product [23][24][25]. For example, Ji (2022) assessed the performance of five satellite precipitation products, namely TRMM3B42, PERSIANN-CDR, GPM-IMERG, CMORPH, and GSMaP, in the Yarlung Zangbo River Basin, finding that GPM excelled in daily streamflow simulation, followed by CMORPH, TRMM, GSMaP, and PERSIANN [19]. Wang (2020) found that IMERG V6 performed satisfactorily in estimating rainfall in Korea [22].…”

Section: Introductionmentioning

confidence: 99%

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

Lyu,

Li,

2024

Remote Sensing

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This study evaluates the applicability of hourly Global Precipitation Measurement Mission (GPM) Integrated Multi-satellitE Retrievals for GPM (IMERG) data for event-based flood modeling in the Sunshui River Basin, southwestern China, using the hydrologic modeling system (HEC-HMS) model. The accuracies of IMERG V6, IMERG V7, and the corrected IMERG V7 satellite precipitation products (SPPs) were assessed against ground rainfall observations. The performance of flood modeling based on the original and the corrected SPPs was then evaluated and compared. In addition, the ability of different numbers (one–eight) of ground stations to correct IMERG V7 data for flood modeling was investigated. The results indicate that IMERG V6 data generally underestimate the actual rainfall of the study area, while IMERG V7 and the corrected IMERG V7 data using the geographical discrepancy analysis (GDA) method overestimate rainfall. The corrected IMERG V7 data performed best in capturing the actual rainfall events, followed by IMERG V7 and IMERG V6 data, respectively. The IMERG V7-generated flood hydrographs exhibited the same trend as those of the measured data, yet the former generally overestimated the flood peak due to its overestimation of rainfall. The corrected IMERG V7 data led to superior event-based flood modeling performance compared to the other datasets. Furthermore, when the number of ground stations used to correct the IMERG V7 data in the study area was greater than or equal to four, the flood modeling performance was satisfactory. The results confirm the applicability of IMERG V7 data for fine time scales in event-based flood modeling and reveal that using the GDA method to correct SPPs can greatly enhance the accuracy of flood modeling. This study can act as a basis for flood research in data-scarce areas.

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Evaluation of multiple satellite precipitation products and their potential utilities in the Yarlung Zangbo River Basin

Cited by 23 publications

References 64 publications

Assessment of Satellite Products in Estimating Tropical Cyclone Remote Precipitation over the Yangtze River Delta Region

Assessment of Satellite Products in Estimating Tropical Cyclone Remote Precipitation over the Yangtze River Delta Region

Evaluation and Error Analysis of Multi-Source Precipitation Datasets during Summer over the Tibetan Plateau

Evaluation of GPM IMERG Satellite Precipitation Products in Event-Based Flood Modeling over the Sunshui River Basin in Southwestern China

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