First evaluation of GPM-Era satellite precipitation products with new observations on the western Tibetan Plateau

Zhan, Changhui; Chen, Yingying; Yang, Kun; La, Zhu; Zhou, Xu; Jiang, Yaozhi; Ling, Xiaoyan; Tian, Jiaxin; Wang, Yan; Li, Xin; Yang, Hua

doi:10.1016/j.atmosres.2022.106559

Cited by 18 publications

(9 citation statements)

References 40 publications

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“…The GPM precipitation data are provided at a spatial resolution of 0.1° and a temporal resolution of 0.5 hr. GPM has good performance in detecting precipitation over the Tibetan Plateau at different spatiotemporal scales (R. Xu et al., 2017; Zhan et al., 2023). Zhan et al.…”

Section: Methodsmentioning

confidence: 99%

Temporal and Spatial Soil Moisture–Precipitation Coupling Relationships Over the Tibetan Plateau

Zan,

Wang,

Wei

et al. 2024

JGR Atmospheres

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Soil moisture can significantly influence weather and climate via land‒atmosphere interactions over the Tibetan Plateau. However, the temporal and spatial preferences of precipitation for soil moisture anomalies and the underlying mechanisms over the plateau have not been determined. Using multiple satellite data sets (including Global Precipitation Measurement precipitation data and Soil Moisture Active Passive and Advanced SCATterometer soil moisture data) and ERA5 reanalysis data, the temporal and spatial soil moisture–precipitation coupling (SMPC) relationships in seven summers during 2015–2021 over the plateau are quantified based on a percentile‐based method. The satellite observations show prevalent positive temporal SMPC across the plateau, indicating that wetter‐than‐normal soil conditions tend to lead to more afternoon precipitation. While ERA5 generally aligns with satellite findings, it underestimates areas with positive temporal SMPC. Both the satellite and ERA5 data show that spatial SMPC relationships are usually statistically insignificant, but a few regions show significant positive relationships, that is, precipitation is more likely to occur over soils wetter than the surrounding soils. Moreover, the satellite observations suggest an inter‐event positive correlation between the temporal and spatial SMPC relationships. ERA5 agrees with the satellite‐based results over the western plateau but shows discrepancies over the eastern plateau. The temporal and spatial variations in soil moisture modulate the partitioning of surface heat fluxes, planetary boundary layer height, and lifting condensation level, promoting moist convection and afternoon precipitation. The findings from this study shed new light on SMPC and have important implications for precipitation forecasting over the plateau.

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Section: Methodsmentioning

confidence: 99%

Temporal and Spatial Soil Moisture–Precipitation Coupling Relationships Over the Tibetan Plateau

Zan,

Wang,

Wei

et al. 2024

JGR Atmospheres

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“…The temporal span of the original station data extended from the summers of 2000 to 2018, while the newly added station data spanned from the summers of 2016 to 2018. If the daily observations contained missing values, we adjusted the corresponding daily gridded precipitation data to the missing values [27,37]. Notably, these missing data only accounted for 0.64% of the total observed data.…”

Section: Observed Datamentioning

confidence: 99%

“…The IMERG and the CMORP can objectively reflect the precipitation information for the Yarlung Zangbo River basin [26]. Zhan et al [27] reported that both calibrated and uncalibrated products of the Global Precipitation Measurement (GPM)-Era do not accurately recreate the frequency-intensity structure of hourly precipitation over the western Tibetan Plateau (WTP). Regarding precipitation extremes, both the China Meteorological Forcing Dataset (CMFD) and APHRODITE slightly underestimate the extreme precipitation indices on the TP, whereas CHIRPS overestimates most indices [28].…”

Section: Introductionmentioning

confidence: 99%

Evaluation and Error Analysis of Multi-Source Precipitation Datasets during Summer over the Tibetan Plateau

Zhao,

Zhong

2024

Atmosphere

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Due to the scarcity of meteorological stations on the Tibetan Plateau (TP), owing to the high altitude and harsh climate, studies often resort to satellite, reanalysis, and merged multi-source precipitation data. This necessitates an evaluation of TP precipitation data applicability. Here, we assess the following three high-resolution gridded precipitation datasets: the China Meteorological Forcing Dataset (CMFD), the European Center for Medium-Range Weather Forecasts Reanalysis V5-Land (ERA5-Land), and Integrated Multi-satellitE Retrievals for Global Precipitation Measurement (IMERG) during TP summers. Using observations from the original 133 China Meteorological Administration stations on the TP as a reference, the evaluation yielded the following conclusions: (1) In summer, from 2000 to 2018, discrepancies among the datasets were largest in the western TP. The CMFD showed the smallest deviation from the observations, and the annual summer precipitation was only overestimated by 12.3 mm. ERA5-Land had the closest trend (0.41 mm/y) to the annual mean summer precipitation, whereas it overestimated the highest precipitation (>150 mm). (2) The reliability of the three datasets at annual and monthly scales was in the following order: CMFD, ERA5-Land, and IMERG. The daily scales exhibited a lower accuracy than the monthly scales (correlation coefficient CC of 0.51, 0.38, and 0.26, respectively). (3) The CMFD assessments, referencing the 114 new stations post-2016, had a notably lower accuracy and precipitation capture capability at the daily scale (CC and critical success index (CSI) decreased by 0.18 and 0.1, respectively). These results can aid in selecting appropriate datasets for refined climate predictions on the TP.

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“…A recent study identified an imbalance in the Asian water tower caused by the accelerated transformation of ice and snow into liquid water [1]. Due to the harsh natural environment, such as continental glaciers [2] and the arid area in western QTP, there are only a few meteorological stations maintained by the China Meteorological Administration [3], which has caused uncertainties in determining the western part of the 400 mm isohyet [4].…”

Section: Introductionmentioning

confidence: 99%

Can the Accuracy of Fine-Resolution Precipitation Products Be Assessed from the Surrounding Water Balance and Drought Chain (WBDC) in the Qinghai–Tibetan Plateau?

Li,

Shi,

Pan

et al. 2023

Remote Sensing

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The Qinghai–Tibetan Plateau (QTP), which has a unique and severe environment, suffers from the absence of rainfall gauges in western arid land. Using different precipitation products in this region would easily lead to contradictory results. To evaluate nine fine-resolution precipitation products in the QTP, we propose a “down to top” methodology, based on water balance and drought chain, by forecasting two accuracy assessment indices—multi-year precipitation bias and precipitation correlation. We assessed the biases of all products in the Jinsha–Yalong, Yellow, Heihe, Yangtze, Yarlung Zangbo catchments and interior drainage areas. And we assessed gauge-based correlation of precipitation products, based on the correlations between precipitation product-based effective drought index (EDI), Soil Moisture Active Passive (SMAP)-based soil moisture anomaly, and the moderate-resolution imaging spectroradiometer (MODIS)-based normalized difference vegetation index (NDVI) anomaly (R = 0.712, R = 0.36, and R = 0.785, respectively) for cross-sectional rainfall observations on the Tibetan Plateau in 2018. The results showed that ERA5-Land and IMERG merged precipitation dataset (EIMD) can efficiently close the water budget at the catchment scale. Moreover, the EIMD-based EDI exhibited the best performance in correlation with both the SMAP-based soil moisture anomaly and MODIS-based NDVI anomaly for the three main herbaceous species areas—Kobresia pygmaea meadow, Stipa purpurea steppe, and Carex moorcroftii steppe. Overall, we find that EIMD is the most accurate among the nine products. The annual average precipitation (2001–2018) was determined to be 568.16 mm in the QTP. Our assessment methodology has a remote sensing basis with low cost and can be used for other arid lands in the future.

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First evaluation of GPM-Era satellite precipitation products with new observations on the western Tibetan Plateau

Cited by 18 publications

References 40 publications

Temporal and Spatial Soil Moisture–Precipitation Coupling Relationships Over the Tibetan Plateau

Temporal and Spatial Soil Moisture–Precipitation Coupling Relationships Over the Tibetan Plateau

Evaluation and Error Analysis of Multi-Source Precipitation Datasets during Summer over the Tibetan Plateau

Can the Accuracy of Fine-Resolution Precipitation Products Be Assessed from the Surrounding Water Balance and Drought Chain (WBDC) in the Qinghai–Tibetan Plateau?

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