Multiscale Comparative Evaluation of the GPM and TRMM Precipitation Products Against Ground Precipitation Observations Over Chinese Tibetan Plateau

Li, Qiong; Wei, Jiahua; Yin, Jigang; Qiao, Zhen; Wang, Peng; Peng, Haiyue

doi:10.1109/jstars.2020.3047897

Cited by 26 publications

(14 citation statements)

References 47 publications

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“…From Figure 14a, it can be noticed that there are two blocks in the scatter plot of the POD versus elevation, and this is possibly due to the weak correlation between these two variables. Some previous studies also found that the detectability decreases with altitude for GPM in the TP [29,38]. With the increasing altitude, the percentage of snowfall in precipitation tends to increase in the UB.…”

Section: Strengths and Limitations Of The Four Precipitation Productsmentioning

confidence: 69%

“…Based on observed precipitation from TP meteorological stations, Li et at. [38] also found that there are small CC values between satellite precipitation products (TRMM and GPM) and rain gauge measurements. The complex topography; high-altitude areas covered by snow, glaciers, permafrost; and sparsely distributed precipitation gauges over UB would affect the accuracy of these precipitation products and result in a low correlation with the reference precipitation as compared with other regions in the world.…”

Section: Statistical Evaluation Of Gridded Precipitation Productsmentioning

confidence: 78%

“…The GPM IMERG algorithm provides three levels of products, namely the near-real-time 'Early' and 'Late' run products and the post-real-time 'Final' run product [18]. Compared to the 'Early' and 'Late' run products, the IMERG final run product is more accurate since it is adjusted with the Global Precipitation Climatology Centre (GPCC) monthly gauge observations [38]. In this study, the GPM IMERGE final run version 6 with the daily timescale and a spatial resolution of 0.1 • × 0.1 • was used.…”

Section: Four Gridded Precipitation Productsmentioning

confidence: 99%

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Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin

Zhang

et al. 2022

Remote Sensing

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Reliable precipitation is crucial for hydrological studies over Tibetan Plateau (TP) basins with sparsely distributed rainfall gauges. In this study, four widely used precipitation products, including the Asian Precipitation Highly Resolved Observational Data Integration Towards Evaluation of the water resources (APHRODITE), the High Asia Reanalysis (HAR), and the satellite-based precipitation estimates from Global Precipitation Measurement (GPM) and Tropical Rainfall Measurement Mission (TRMM), were comprehensively evaluated by combining statistical analysis and hydrological simulation over the Upper Brahmaputra (UB) River Basin of TP during 2001–2013. In respect to the statistical assessment, the overall performances of GPM and HAR are comparable to each other, and both are superior to the other two datasets. For hydrological assessment, both daily and monthly GPM-based streamflow simulations perform the best not only at the UB outlet with very good results, but they also illustrate satisfactory results at Yangcun and Lhasa hydrological stations within the UB. Runoff simulation using HAR only performs well at the UB outlet, whereas it shows poor results at both Yangcun and Lhasa stations. The simulated results based on APHRODITE and TRMM show poor performances at UB. Generally, the GPM shows an encouraging potential for hydro-meteorological investigation over UB, although with some bias in flood simulation.

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Section: Strengths and Limitations Of The Four Precipitation Productsmentioning

confidence: 69%

Section: Statistical Evaluation Of Gridded Precipitation Productsmentioning

confidence: 78%

Section: Four Gridded Precipitation Productsmentioning

confidence: 99%

See 1 more Smart Citation

Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin

Zhang

et al. 2022

Remote Sensing

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“…Jiang et al [19] compared TRMM 3B42V6, TRMM 3B42RTV6, and CMORPH in the Laoha River basin, and indicated that the systematic deviations of the three SPPs were 21%, 67% and 81% on the daily time scale, respectively. Li et al [20] evaluated the performances of IMERG V06B, GSMaP V07 and TMPA 3B42V7, and recommend the GSMaP V07 for satellite precipitation data application within the TP. Romilly and Gebremichael [21] and Shrestha et al [22] summarized the conclusions of the former relevant studies and reveal that the quality of SPPs is related to a variety of factors.…”

Section: Introductionmentioning

confidence: 99%

A Comparative Evaluation of Gauge-Satellite-Based Merging Products Over Multiregional Complex Terrain Basin

Tang

Chen

Gui

2022

IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

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Satellite precipitation products (SPPs) have become a significant data source in hydrometeorology, especially for ungauged or sparsely -gauged basins, and satellite estimates can supplement the lack of precipitation information. However, satellite remote sensing precipitation products have various degrees of uncertainty which may be related to studied area, precipitation type and other factors. In addition, the applicability of the same satellite product may not be consistent in different regions. This study focuses on statistical evaluations of five SPPs (TRMM 3B42v7, TRMM 3B42RT, PERSIANN CDR, CMORPH CRT and IMERG Final) and further improves their accuracy by using the principal component regression-based merging model over two different topography regions. The utilities of all the precipitation sets were then investigated using the Xinanjiang hydrological model to access the influence of the combined product in hydrological response and relative improvements. Results show that the original TRMM 3B42v7, CMORPH CRT and IMERG Final products exhibit much better performance than other two products for precipitation estimation, while the accuracy of TRMM 3B42RT varies greatly between two regions. The merged IMERG Final and CMORPH CRT significantly improved the results in two basins. In summary, the merging method combines satellite-and groundbased precipitation to produce a finer spatial distribution, while attention should be paid to the effect of merging method with respect to different satellite information within different basins. This study provides quantitative precipitation estimation analysis of SPPs in different regions and the applicability of merging methods for different SPPs and thus will provide useful guidelines for future utilizations of SPPs and merging schemes in regional hydrological applications.

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“…Since the mid-1950s, the Qinghai-Tibet Plateau (TP) has witnessed signi cant temperature warming, making it vulnerable to climate change (Wang et al, 2008;Guo andWang, 2012, Gao et al, 2019). However, data scarcity has hampered signi cant research in hydrology and climate over TP (Yin et al, 2008;Maussion et al, 2014;Li et al, 2021a;Li et al, 2021b). Primarily, ground observations are used to measure precipitation; however, the coverage density is insu cient to provide adequate climate data (Geng et al, 2017;Li et al, 2021a;Wei et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Climatological changes in rain distributions at different rain-rates under Qinghai-Tibet Plateau warming during 1981-2060

Ayantobo

Wei

Wang

2022

Preprint

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Climatological changes in rainfall affect the Tibetan Plateau’s eco-hydrological processes and water resource regimes. To better understand these changes, we examined how rain amount distribution (RAD) and rain frequency distribution (RFD) has changed as well as future change under Tibetan Plateau warming. Daily rain accumulation from two observed datasets (Climate Prediction Center and Climate Forecast System Reanlysis) and CMIP6 models for SSP126, SSP245, and SSP585 are used to estimate RAD and RFD at each grid point. To capture the full range of rainfall from light to heavy, we used logarithmically distributed rain-rate bins, whose coordinates enable mathematical operations. This means that each rain-rate bin is a percentage wider in log coordinates than the previous one, with the same bin center. Results showed that RAD magnitudes varied from 0.74 to 0.93 mm/day at moderate rain-rates, with the broadest and narrowest curves occurring in 2011-2020 and 1991-2000, respectively. These distributions changed strongly from moderate to higher rain-rates at 2.8 mm/day/K. Further, RFD magnitudes ranged from 13.03% (1991-2000) to 13.51% (2011-2020), with a negative response at light rain-rates (-10.33%/K) and positive response at moderate rain-rates (10 %/K). Under future warming, RAD magnitudes were around 0.42 mm/day for the SSPs at moderate rain-rates, which shifted to higher rain-rates, implying that the RAD curve will become larger with more rain at higher rain-rates. Besides RAD whose response was around 2.85%/K under SSP126 at light rain-rate, most SSP126 responses were negative at light rain-rate but shifted positively and increased with SSP245 and SSP585 at higher rain-rates. This study will raise awareness of unexpected future events by showing how rain distribution changes with global warming.

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Multiscale Comparative Evaluation of the GPM and TRMM Precipitation Products Against Ground Precipitation Observations Over Chinese Tibetan Plateau

Cited by 26 publications

References 47 publications

Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin

Evaluation and Hydrological Application of Four Gridded Precipitation Datasets over a Large Southeastern Tibetan Plateau Basin

A Comparative Evaluation of Gauge-Satellite-Based Merging Products Over Multiregional Complex Terrain Basin

Climatological changes in rain distributions at different rain-rates under Qinghai-Tibet Plateau warming during 1981-2060

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