Evaluation of the latest satellite–gauge precipitation products and their hydrologic applications over the Huaihe River basin

Sun, Renren; Yuan, Huiling; Liu, Xiaoli; Jiang, Xue

doi:10.1016/j.jhydrol.2016.02.054

Cited by 135 publications

(88 citation statements)

References 54 publications

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“…This was mainly because the GPM combined Instrument (GMI) sensor can capture light precipitation better than the TRMM combined Instrument (TMI) [42]. Additionally, Figure 9 demonstrated the FAR was increased, but the POD and CSI were reduced with increasing rainfall rate for the two satellite precipitation products, suggesting the limited capability of satellite sensors in detecting intense rainfall events [24]. Conversely, the high intensity rainfall makes radar signals attenuate, so the strong rainfall cannot be accurately measured [43].…”

Section: Discussionmentioning

confidence: 99%

Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China

Chen

Duan

et al. 2018

Remote Sensing

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Abstract:The performance of the latest released Integrated Multi-satellitE Retrievals for GPM mission (IMERG) version 5 (IMERG v5) and the TRMM Multisatellite Precipitation Analysis 3B42 version 7 (3B42 v7) are evaluated and compared at multiple temporal scales over a semi-humid to humid climate transition area (Huaihe River basin) from 2015 to 2017. The impacts of rainfall rate, latitude and elevation on precipitation detection skills are also investigated. Results indicate that both satellite estimates showed a high Pearson correlation coefficient (r, above 0.89) with gauge observations, and an overestimation of precipitation at monthly and annual scales. Mean daily precipitation of IMERG v5 and 3B42 v7 display a consistent spatial pattern, and both characterize the observed precipitation distribution well, but 3B42 v7 tends to markedly overestimate precipitation over water bodies. Both satellite precipitation products overestimate rainfalls with intensity ranging from 0.5 to 25 mm/day, but tend to underestimate light (0-0.5 mm/day) and heavy (>25 mm/day) rainfalls, especially for torrential rains (above 100 mm/day). Regarding each gauge station, the IMERG v5 has larger mean r (0.36 for GPM, 0.33 for TRMM) and lower mean relative root mean square error (RRMSE, 1.73 for GPM, 1.88 for TRMM) than those of 3B42 v7. The higher probability of detection (POD), critical success index (CSI) and lower false alarm ratio (FAR) of IMERG v5 than those of 3B42 v7 at different rainfall rates indicates that IMERG v5 in general performs better in detecting the observed precipitations. This study provides a better understanding of the spatiotemporal distribution of accuracy of IMERG v5 and 3B42 v7 precipitation and the influencing factors, which is of great significance to hydrological applications.

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Section: Discussionmentioning

confidence: 99%

Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China

Chen

Duan

et al. 2018

Remote Sensing

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“…This is mostly because the rain gauge observations used in SGPEs are limited to GTS reports and it is hard to capture heavy rain center effectively through sparse gauge network. Despite of the same PDF-OI merging algorithm, the work in [31] indicated that the newly developed SGPE which combines the CMORPH RAW data with daily precipitation observations from about 2400 gauges in China had a better performance than BLD over Huaihe river basin. With more available rain gauge observations, there are great advantages of regional or national scale modifications in improving the quality of precipitation data.…”

Section: Discussionmentioning

confidence: 99%

“…In the current study, due to restrictions on the availability of the hydrometric stations observations over the UYRB, a twelve-year period from 1 January 2001 to 31 This study aimed to assess four SGPEs, namely CRT, BLD, CDR and 3B42 and investigated their suitability in hydrological application over UYRB region. A general introduction description of these products is summarized as follows.…”

Section: Datasets Descriptionmentioning

confidence: 99%

“…For the validation activities for SPEs over the Tibet Plateau (TP)-a region with very complex topography and high elevation, the authors of [21] illustrated that CRT exhibits an encouraging potential for hydrological applications over two sub-basins of the Tibetan Plateau in spite of the general underestimation, while 3B42 shows comparable performance to the China Meteorological Administration data in both monthly and daily streamflow simulations mostly because the monthly gauge adjustment is involved. The authors of [31] insisted that BLD would exhibit higher quality and more stable performance benefited by the probability density function-optimal interpolation (PDF-OI) gauge adjustment procedure. However, BLD features the similar error characteristics of CRT with a positive bias of light precipitation and a negative bias of heavy precipitation owing to the insufficient gauge observations in the merging process.…”

Section: Introductionmentioning

confidence: 99%

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Evaluating the Applicability of Four Latest Satellite–Gauge Combined Precipitation Estimates for Extreme Precipitation and Streamflow Predictions over the Upper Yellow River Basins in China

Lü

Wang

et al. 2017

Remote Sensing

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Abstract:This study aimed to statistically and hydrologically assess the performance of the four latest and widely used satellite-gauge combined precipitation estimates (SGPEs), namely CRT (CMORPH CRT), BLD (CMORPH BLD), CDR (PERSIANN CDR), 3B42 (TMPA 3B42 version 7) over the upper yellow river basins (UYRB) in china during 2001-2012 time period. The performances of the SGPEs were compared with the Chinese Meteorological Administration (CMA) datasets using the hydrologic model called Variable Infiltration Capacity (VIC) which is known as a land surface hydrologic model. Results indicated that irrespective of the slight underestimation in the western mountains and overestimation in the southeast, the four SGPEs could generally captured the spatial distribution of precipitation well. Although 3B42 exhibited a better performance in capturing the spatial distribution of daily average precipitation, BLD agreed best with CMA in the time series of watershed average precipitation, which resulted in BLD having a comparable performance to the CMA in the long-term hydrological simulations. Moreover, the potential for disastrous heavy rain mainly occurs in southeastern corner of the basin, and CRT and BLD comparisons showed to be closer to the CMA in the distribution of extreme precipitation events while 3B42 and CDR overestimated the extreme precipitation especially over the southeast of UYRB region. Therefore, CRT and BLD were able to match the high peak discharges very well for the wet seasons, while 3B42 and CDR overrated the high peak discharges. In addition, the four SGPEs performed well for the 2005 flood event but exhibited poorly when tested for the 2012 flood event. Results indicate that the application of the four SGPEs should be used with caution in simulating massive flood events over UYRB region.

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“…Satellite remote sensing precipitation products are particularly valuable in providing spatial-temporal continuous rainfall data, especially in areas where in situ measurements are sparse (leading to greater uncertainty in spatial interpolation products) or absent, like the arid region of northwest China [11][12][13][14]. Tropical Rainfall Measuring Mission (TRMM) is one of the most important precipitation projects in hydrological research.…”

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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Evaluation of the latest satellite–gauge precipitation products and their hydrologic applications over the Huaihe River basin

Cited by 135 publications

References 54 publications

Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China

Multiscale Comparative Evaluation of the GPM IMERG v5 and TRMM 3B42 v7 Precipitation Products from 2015 to 2017 over a Climate Transition Area of China

Evaluating the Applicability of Four Latest Satellite–Gauge Combined Precipitation Estimates for Extreme Precipitation and Streamflow Predictions over the Upper Yellow River Basins in China

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

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