Accuracy Evaluation of Two High-Resolution Satellite-Based Rainfall Products: TRMM 3B42V7 and CMORPH in Shanghai

Jiang, Qin; Li, Weiyue; Wen, Jiahong; Can, Qiu; Sun, Weiwei; Fang, Qilin; Xu, Ming; Tan, Jianwei

doi:10.3390/w10010040

Cited by 37 publications

(30 citation statements)

References 51 publications

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“…Due to the small changes in value at the thresholds used, very slight trends are observed in the indicators; however, the trends of POD and CSI agree with those found by Alijanian et al and Jiang et al [1,6], where an increase in the threshold value results in a decrease in the detection capacity. The CMORPH-CRT product presented a better performance in the detection capacity at the level of…”

Section: Discussionsupporting

confidence: 86%

“…The evaluation of the CMORPH precipitation was carried out through two approaches: (1) analysis of the capacity to detect precipitation; and (2) quantification of the accuracy or discrepancy between the CMORPH estimates and the precipitation data of the rain gauges of the weather stations [6,7,14]. For the first approach, precipitation data were considered categorical events and four indicators were used: probability of detection (POD), false alarm rate (FAR), critical success rate (CSI), and frequency bias index (FBI).…”

Section: Evaluation Methodsmentioning

confidence: 99%

“…To answer such questions, several studies have been conducted around the world to evaluate satellite precipitation estimates. To cite some examples, Jiang et al evaluated the satellite-based precipitation (SBP) products TRMM 3B42V7 and CMORPH in 11 sites distributed in different districts of Shanghai for the period from January 2010 to December 2011 [6]. Kumar et al evaluated the SBP products TRMM 3B42V7 and CMORPH for the period from June to August 2005-2010 in 6 sites located within the Gandak River basin, which is a transboundary basin between India, China, and Nepal [7].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Flores

Ortíz-Gómez

Fierro

et al. 2019

Water

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Satellite-based precipitation (SBP) products with global coverage have the potential to overcome the lack of information in places where there are no rain gauges to perform hydrological analyses; however, it is necessary to evaluate the reliability of the SBP products. In this study, we evaluated the performance of the Climate Prediction Center morphing technique with corrected bias (CMORPH-CRT) product in 14 sites in Mexico. The evaluation was carried out using two approaches: (1) using categorical metrics that include indicators of probability of detection (POD), false alarm rate (FAR), critical success index (CSI), and frequency bias index (FBI); and (2) through statistical indicators such as the mean absolute error (MAE), root mean square error (RMSE), relative bias (RB), and correlation coefficient (CC). The analysis was carried out with two levels of temporal aggregation: 30 min and daily. The results indicate that the CMORPH-CRT product overestimates the number of precipitation events in most cases since FBI values greater than 1 in 78.6% of analyzed stations were obtained. Also, we obtained CC values in the range of 0.018 to 0.625, which implied weak to moderate correlations, and found that in all stations, the CMORPH-CRT product overestimates the precipitation (RB > 0).

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Section: Discussionsupporting

confidence: 86%

Section: Evaluation Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Flores

Ortíz-Gómez

Fierro

et al. 2019

Water

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“…In the past few years, numerous studies have been carried out to validate the TRMM precipitation product in different regions [15][16][17][18][19][20]. Tong et al evaluated four widely used global high-resolution satellite precipitation products against gauge streamflow observations over the Tibetan Plateau [21].…”

Section: Introductionmentioning

confidence: 99%

Validation of TRMM 3B42V7 Rainfall Product under Complex Topographic and Climatic Conditions over Hexi Region in the Northwest Arid Region of China

Wang

Ding

Zhao

et al. 2018

Water

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Continuous and accurate spatiotemporal precipitation data plays an important role in regional climate and hydrology research, particularly in the arid inland regions where rain gauges are sparse and unevenly distributed. The main objective of this study is to evaluate and bias-correct the Tropical Rainfall Measuring Mission (TRMM) 3B42V7 rainfall product under complex topographic and climatic conditions over the Hexi region in the northwest arid region of China with the reference of rain gauge observation data during 2009-2015. A series of statistical indicators were adopted to quantitatively evaluate the error of 3B42V7 and its ability in detecting precipitation events. Overall, the 3B42V7 overestimates the precipitation with Bias of 11.16%, and its performance generally becomes better with the increasing of time scale. The agreements between the rain gauge data and 3B42V7 are very low in cold season, and moderate in warm season. The 3B42V7 shows better correlation with rain gauges located in the southern mountainous and central oasis areas than in the northern extreme arid regions, and is more likely to underestimate the precipitation in high-altitude mountainous areas and overestimate the precipitation in low-elevation regions. The distribution of the error on the daily scale is more related to the elevation and rainfall than in monthly and annual scale. The 3B42V7 significantly overestimates the precipitation events, and the overestimation mainly focuses on tiny amounts of rainfall (0-1 mm/d), which is also the range of false alarm concentration. Bias correction for 3B42V7 was carried out based on the deviation of the average monthly precipitation data during 2009-2015. The bias-corrected 3B42V7 was significantly improved compared with the original product. Results suggest that regional assessment and bias correction of 3B42V7 rainfall product are of vital importance and will provide substantive reference for regional hydrological studies.

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“…However, CMORPH satellite data, which are often used to evaluate model rainfall performance, underestimated the precipitation, particularly near the coast. Previous studies have reported that CMORPH 30 products substantially underestimated heavy rainfall (Jiang et al, 2018;Qin et al, 2014) and cold season rainfall (Xie et al, Atmos. Chem.…”

mentioning

confidence: 97%

Contribution of local and remote anthropogenic aerosols to intensification of a record-breaking torrential rainfall event in Guangdong province

Liu

Ming

Zhao

et al. 2018

Preprint

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A torrential rainfall case, which happened in Guangdong Province during December 14-16, 2013, broke the historical rainfall record in the province in terms of duration, affected area, and accumulative precipitation. The influence of anthropogenic aerosols on this extreme rainfall event was examined using a coupled meteorology-chemistry-aerosol model.Enhancement of precipitation in the estuary and near the coast up to 33.7 mm was mainly attributed to aerosol-cloud 15 interactions, whereas aerosol-radiation interactions partially compensated 14% of the precipitation increase. Responses of precipitation to changes in anthropogenic aerosols from local (i.e., Guangdong province) and remote (i.e., outside Guangdong province) sources were also investigated through simulations with reduced aerosol emissions from either local or remote sources. Accumulated aerosol concentration from local sources aggregated mainly near the surface and diluted quickly after the precipitation initiated. By contrast, aerosol concentration from remote emissions extended up to 8 km and lasted much 20 longer before decreasing until peak rainfall began, because aerosols were continuously transported by the strong northerly.Although the patterns of precipitation response to remote and local aerosols resembled each other, remote aerosols contributed more than twice the precipitation increase compared with local aerosols, occupying a predominant role. Ten times of the emission sensitivity test resulted in about ten times of PM2.5 concentration compared with the control run. The patterns of precipitation and cloud property changes also resembled that in the control run, but with much greater magnitude. The average 25 precipitation in Guangdong province decreased by 1.0 mm but increased by 1.4 mm in the control run. We noted that the reinforced precipitation increase was concentrated within a more narrowed downstream region, whereas the precipitation decrease was more dispersed across the upstream region. This indicates that the excessive aerosols not only suppress rainfall but also change the spatial distribution of precipitation, increasing the rainfall range, thereby potentially exacerbating flood and drought elsewhere. This study highlights the importance of considering aerosols in meteorology to improve extreme 30 weather forecasting. Furthermore, aerosols from remote emissions may outweigh those from local emissions in the cloud invigoration effect.Atmos. Chem. Phys. Discuss., https://doi.

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Accuracy Evaluation of Two High-Resolution Satellite-Based Rainfall Products: TRMM 3B42V7 and CMORPH in Shanghai

Cited by 37 publications

References 51 publications

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Evaluation of Precipitation Estimates CMORPH-CRT on Regions of Mexico with Different Climates

Validation of TRMM 3B42V7 Rainfall Product under Complex Topographic and Climatic Conditions over Hexi Region in the Northwest Arid Region of China

Contribution of local and remote anthropogenic aerosols to intensification of a record-breaking torrential rainfall event in Guangdong province

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