Evaluations on gridded precipitation products spanning more than half a century over the Tibetan Plateau and its surroundings

Tan, Xiao; Ma, Zhanshan; He, Kang; Han, Xiuzhen; Ji, Qingwen; He, Yu

doi:10.1016/j.jhydrol.2019.124455

Cited by 76 publications

(36 citation statements)

References 40 publications

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“…Results also suggested that the CHIRPS dataset tended to overestimate precipitation compared to the rain-gauge stations in the QTP. Our findings are consistent with the results of previous studies by Liu, et al [9], Wu, et al [10], and Tan, et al [11] for CHIRPS and APHRODITE in the QTP. It was reported that APHRODITE and CHIRPS in the QTP with POD values of 0.90 and 0.38, FAR values of 0.34 and 0.58, and CSI values of 0.63 and 0.28, respectively [11].…”

Section: Discussionsupporting

confidence: 94%

“…Our findings are consistent with the results of previous studies by Liu, et al [9], Wu, et al [10], and Tan, et al [11] for CHIRPS and APHRODITE in the QTP. It was reported that APHRODITE and CHIRPS in the QTP with POD values of 0.90 and 0.38, FAR values of 0.34 and 0.58, and CSI values of 0.63 and 0.28, respectively [11]. In this study, POD values were 0.95 and 0.34, FAR values were 0.38 and 0.50, and CSI values were 0.60 and 0.25 for APHRODITE and CHIRPS, respectively.…”

Section: Discussionsupporting

confidence: 94%

“…In recent decades, extensive studies have been conducted to evaluate the performance of precipitation products at the local and regional scales. For example, the assessment of gridded precipitation products such as Multi-Source Weighted-Ensemble Precipitation (MSWEP) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS) in mainland China [5,8], and across the entirety of the QTP [9]; China Meteorological Forcing Dataset (CMFD), Tropical Rainfall Measuring Mission (TRMM), and CHIRPS in the QTP [10]; Asian Precipitation-Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), Precipitation Estimation from Remotely Sensed Information using Artificial Neural Networks-Climate Data Record (PERSIANN-CDR), and CHIRPS in the QTP [11]; TRMM and Integrated Multi-satellite Retrievals for GPM (IMERG) over the QTP [12] and Hexi Corridor [13]; Climate Prediction Center's morphing technique (CMORPH) over the QTP [14]. The overall results showed that there are distinct differences and biases between rain-gauge networks.…”

Section: Introductionmentioning

confidence: 99%

“…(3) according to previous studies [9][10][11], these three datasets have different performance advantages with regard to the study on QTP.…”

Section: Introductionmentioning

confidence: 99%

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Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Yang

Chen

et al. 2021

Remote Sensing

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Accurate estimates of extreme precipitation events play an important role in climate change studies and natural disaster risk assessments. This study aimed to evaluate the capability of the China Meteorological Forcing Dataset (CMFD), Asian Precipitation-Highly Resolved Observational Data Integration Towards Evaluation of Water Resources (APHRODITE), and Climate Hazards Group Infrared Precipitation with Station data (CHIRPS) to detect the spatiotemporal patterns of extreme precipitation events over the Qinghai-Tibet Plateau (QTP) in China, from 1981 to 2014. Compared to the gauge-based precipitation dataset obtained from 101 stations across the region, 12 indices of extreme precipitation were employed and classified into three categories: fixed threshold, station-related threshold, and non-threshold indices. Correlation coefficient (CC), root mean square error (RMSE), mean absolute error (MAE), and Kling–Gupta efficiency (KGE), were used to assess the accuracy of extreme precipitation estimation; indices including probability of detection (POD), false alarm ratio (FAR), and critical success index (CSI) were adopted to evaluate the ability of gridded products’ to detect rain occurrences. The results indicated that all three gridded datasets showed acceptable representation of the extreme precipitation events over the QTP. CMFD and APHRODITE tended to slightly underestimate extreme precipitation indices (except for consecutive wet days), whereas CHIRPS overestimated most indices. Overall, CMFD outperformed the other datasets for capturing the spatiotemporal pattern of most extreme precipitation indices over the QTP. Although CHIRPS had lower levels of accuracy, the generated data had a higher spatial resolution, and with correction, it may be considered for small-scale studies in future research.

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Section: Discussionsupporting

confidence: 94%

Section: Discussionsupporting

confidence: 94%

Section: Introductionmentioning

confidence: 99%

“…(3) according to previous studies [9][10][11], these three datasets have different performance advantages with regard to the study on QTP.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Yang

Chen

et al. 2021

Remote Sensing

View full text Add to dashboard Cite

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“…It is seen that areas of high rain gauge density give more reliable precipitation estimates than those of low-density areas [3,4]. However, due to economic constraints and infeasible natural conditions, such as in the Arctic [5] and in the Tibetan Plateau, ground-based observations are usually sparse, especially in several developing countries, where ground-based rainfall observation networks have always been relatively sparse [6][7][8]. Hence, precipitation data retrieved from satellite sensors act as a A similar approach using calibration scenarios for developing hydrological signatures in ungauged catchments could be carried out to formulate a hypothesis regarding the effects of sensitive parameters of each dataset to understand the catchment characteristics worldwide.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model

Sharannya

Al‐Ansari

Barma

et al. 2020

Water

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Precipitation obtained from rain gauges is an essential input for hydrological modelling. It is often sparse in highly topographically varying terrain, exhibiting a certain amount of uncertainty in hydrological modelling. Hence, satellite rainfall estimates have been used as an alternative or as a supplement to station observations. In this study, an attempt was made to evaluate the Tropical Rainfall Measuring Mission (TRMM) and Climate Hazards Group InfraRed Precipitation with Station data (CHIRPS), employing a semi-distributed hydrological model, i.e., Soil and Water Assessment Tool (SWAT), for simulating streamflow and validating them against the flows generated by the India Meteorological Department (IMD) rainfall dataset in the Gurupura river catchment of India. Distinct testing scenarios for simulating streamflow were made to check the suitability of these satellite precipitation data. The TRMM was able to better estimate rainfall than CHIRPS after performing categorical and continuous statistical results with respect to IMD rainfall data. While comparing the performance of model simulations, the IMD rainfall-driven streamflow emerged as the best followed by the TRMM, CHIRPS-0.05, and CHIRPS-0.25. The coefficient of determination (R2), Nash–Sutcliffe efficiency (NSE), and percent bias (PBIAS) were in the range 0.63 to 0.86, 0.62 to 0.86, and −14.98 to 0.87, respectively. Further, an attempt was made to examine the spatial distribution of key hydrological signature, i.e., flow duration curve (FDC) in the 30–95 percentile range of non-exceedance probability. It was observed that TRMM underestimated the flow for agricultural water availability corresponding to 30 percent, even though it showed a good performance compared to the other satellite rainfall-driven model outputs.

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Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

Gao

et al. 2022

Intl Journal of Climatology

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The Qinghai‐Tibet Plateau (QTP) plays a crucial role in regulating the climate and hydrology over Asia, and studies indicate that the QTP tends to be warm and humid as a whole. Although precipitation variability on the QTP has a great impact on floods, soil erosion, and droughts, it is poorly understood owing to sparse meteorological observations. This study has investigated the temporal variability of precipitation on the QTP and its surrounding areas on different time scales over the past 40 years using the standardized variability index (SVI) based on entropy as well as its changing trends. The results show that the variability of precipitation has different spatial patterns on different time scales. In general, the variability of both the precipitation days and amounts are low in the southeast and northwest corners of the plateau and high in the southwest and north. It was found that the number of light precipitation days in the high vegetation coverage area in the southeastern plateau decreased significantly, but increased greatly in the bare land and sparse vegetation coverage areas in the northern part of the plateau. Such changes are believed to be conducive for ecological restoration. Most importantly, in the southern foothills of the Himalayas, many light precipitation days have turned into moderate and heavy precipitation days, and a significant increase in annual precipitation has also been noted, which are likely to cause natural disasters considering the local topographical conditions, such as landslides and mudslides. Highlights In QTP, SVIME in May is closer to summer mode, indicating monsoon beginning have advanced to May. Extreme precipitation significantly influences precipitation variability. Daily SVIAE decreases in grassland/barren/sparsely vegetated land, good for ecology. Light rain days increased in bare land/sparse vegetation areas, benefiting vegetation restoration. In southern Himalayas, light rain changed to moderate/heavy rain, leading to natural disasters.

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Evaluations on gridded precipitation products spanning more than half a century over the Tibetan Plateau and its surroundings

Cited by 76 publications

References 40 publications

Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Evaluation of Extreme Precipitation Based on Three Long-Term Gridded Products over the Qinghai-Tibet Plateau

Evaluation of Satellite Precipitation Products in Simulating Streamflow in a Humid Tropical Catchment of India Using a Semi-Distributed Hydrological Model

Temporal variability of precipitation over the Qinghai‐Tibetan Plateau and its surrounding areas in the last 40 years

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