Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau

Tong, Kai; Su, Fengge; Yang, Daqing; Hao, Zhenchun

doi:10.1016/j.jhydrol.2014.07.044

Cited by 235 publications

(191 citation statements)

References 58 publications

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“…In a previous study, Tong et al (2014) evaluated the streamflow simulation capabilities of four satellite-based precipitation products (TRMM-3B42-V7, TRMM-3B42RT-V7, PERSIANN, and CMORPH) using the VIC hydrologic model in the UYZR and UYLR from 2006 to 2012. Different from the PERSIANN product that Tong et al (2014) used, PERSIANN-CDR is a different product that provides over 33 years of daily and high-resolution precipitation with GPCP monthly information incorporated.…”

Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

“…Different from the PERSIANN product that Tong et al (2014) used, PERSIANN-CDR is a different product that provides over 33 years of daily and high-resolution precipitation with GPCP monthly information incorporated. In addition, the parameters in the VIC hydrologic model are calibrated by the input of interpolated gauge-based precipitation.…”

Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

“…The calibrated parameter values are then kept fixed when the VIC model are rerun by inputs of satellite-based precipitation datasets to evaluate the streamflow simulation capabilities of satellite-based precipitation datasets. Rerunning the hydrologic model with the fixed parameters calibrated by gaugebased precipitation partly indicates that Tong et al (2014) assumed that the sparse gauge observations are a more reliable dataset than satellite-based precipitation datasets. However, this is a questionable assumption.…”

Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

“…However, there are few evaluation studies focusing on hydrological modeling driven by satellite rainfall products on the Tibetan Plateau. Among a limited number of studies, Tong et al (2014) evaluated the streamflow simulation capability of four satellite products (TRMM-3B42-V7, TRMM-3B42RT-V7, PERSIANN, and CMORPH) using the variable infiltration capacity (VIC) hydrologic model in two sub-basins over the Tibetan Plateau and concluded that the TRMM-3B42-V7 and CMORPH datasets have relatively better performance than the others. One of the limitations is that the data length of many satellite precipitation products, such as TRMM-3B42RT-V7 and CMORPH, start from 2000 to the present, which is rather short.…”

Section: Introductionmentioning

confidence: 99%

“…In this study, there is no such limitation because the PERSIANN-CDR daily rainfall product includes more than 33 years of data and the length of data grows every year. In Tong et al (2014), the rain gauge is set to be the reference to compare different satellite-based rainfall products. However, given the fact that (1) density of rain gauges on the Tibetan Plateau is rather low as compared to other regions in China, (2) distribution of gauges are uneven according to Miao et al (2015), and (3) rain gauges are located in lowelevation river channels (Fig.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

Liu

Yang

Hsu

et al. 2017

Hydrol. Earth Syst. Sci.

171

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Abstract. On the Tibetan Plateau, the limited groundbased rainfall information owing to a harsh environment has brought great challenges to hydrological studies. Satellitebased rainfall products, which allow for a better coverage than both radar network and rain gauges on the Tibetan Plateau, can be suitable alternatives for studies on investigating the hydrological processes and climate change. In this study, a newly developed daily satellite-based precipitation product, termed Precipitation Estimation from Remotely Sensed Information Using Artificial Neural Networks -Climate Data Record (PERSIANN-CDR), is used as input for a hydrologic model to simulate streamflow in the upper Yellow and Yangtze River basins on the Tibetan Plateau. The results show that the simulated streamflows using PERSIANN-CDR precipitation and the Global Land Data Assimilation System (GLDAS) precipitation are closer to observation than that using limited gauge-based precipitation interpolation in the upper Yangtze River basin. The simulated streamflow using gauge-based precipitation are higher than the streamflow observation during the wet season. In the upper Yellow River basin, gauge-based precipitation, GLDAS precipitation, and PERSIANN-CDR precipitation have similar good performance in simulating streamflow. The evaluation of streamflow simulation capability in this study partly indicates that the PERSIANN-CDR rainfall product has good potential to be a reliable dataset and an alternative information source of a limited gauge network for conducting long-term hydrological and climate studies on the Tibetan Plateau.

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Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

Section: Parameter Uncertainties Of Hydrological Modelingmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

Liu

Yang

Hsu

et al. 2017

Hydrol. Earth Syst. Sci.

171

View full text Add to dashboard Cite

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Review on climate change on the Tibetan Plateau during the last half century

2016

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The Tibetan Plateau (TP) is undergoing significant warming since the 1950s. During the past two decades, extensive research has been conducted to investigate the climate change on the plateau. This review presents an overview of recent progress on climate change on the TP with the aim of providing a comprehensive understanding of changes in climate variables. Long‐term observation data from meteorological stations presented by the published literature were used to show the trends in various climate variables. The TP is overall getting warmer and wetter during the past decades. Temperature is significantly increased, especially since the 1980s. The overall warming rate ranges from 0.16 to 0.67°C decade−1 since the 1950s during different periods. The TP shows a uniform warming trend with the most significant warming in the northern part. Precipitation is slightly increased, and the spatial pattern of changes in precipitation is variable. The annual precipitation is increasing in most areas of the TP. Some subregions are becoming wetter, while some subregions are becoming drier. Pan evaporation, reference evapotranspiration, and potential evapotranspiration have been found to decrease since the 1960s. Actual evapotranspiration is significantly increased since the 1960s. Wind speed and sunshine duration increased up to the 1970s and then decreased significantly afterwards. Relative humidity fluctuated up and down to the end of the 1990s and appeared to decrease afterwards. Vapor pressure deficit shows an overall increasing trend since the 1970s. Causes of changes in the climate variables are presented, and future research directions are recommended.

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Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high‐density rain gauge network

et al. 2017

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The objective of this study is to evaluate two satellite rainfall products Global Precipitation Measurement Integrated MultisatellitE Retrievals and Tropical Rainfall Measuring Mission 3B42V7 (GPM IMERG and TRMM 3B42V7) in southern Tibetan Plateau region, with special focus on the dependence of products' performance on topography and rainfall intensity. Over 500 in situ rain gauges constitute an unprecedentedly dense rain gauge network over this region and provide an exceptional resource for ground validation of satellite rainfall estimates. Our evaluation centers on the rainy season from May to October in 2014. Results indicate that (1) GPM product outperforms TRMM at all spatial scales and elevation ranges in detecting daily rainfall accumulation; (2) rainfall accumulation over the entire rainy season is negatively correlated with mean elevation for rain gauges and the two satellite rainfall products, while the performance of TRMM also significantly correlates with topographic variations; (3) in terms of the ability of rainfall detection, false alarming ratio of TRMM (21%) is larger than that of GPM (14%), while missing ratio of GPM (13%) is larger than that of TRMM (9%). GPM tends to underestimate the amount of light rain events of 0–1 mm/d, while the opposite (overestimation) is true for TRMM. GPM shows better detecting ability for light rainfall (0–5 mm/d) events but there is no detection skill for both GPM and TRMM at high‐elevation (>4500 m) regions. Our results not only highlight the superiority of GPM to TRMM in southern Tibetan Plateau region but also recommend that further improvement on the rainfall retrieval algorithm is needed by considering topographical influences for both GPM and TRMM rainfall products.

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Evaluation of satellite precipitation retrievals and their potential utilities in hydrologic modeling over the Tibetan Plateau

Cited by 235 publications

References 58 publications

Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

Evaluating the streamflow simulation capability of PERSIANN-CDR daily rainfall products in two river basins on the Tibetan Plateau

Review on climate change on the Tibetan Plateau during the last half century

Ground validation of GPM IMERG and TRMM 3B42V7 rainfall products over southern Tibetan Plateau based on a high‐density rain gauge network

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