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Data Details

Yearly Precipitation Moisture Source for the Middle and Lower Reaches of the Yangtze River (26.5°N-33.5°N, 104.5°E-122.5°E) during the Rain (Meiyu) Season (1991-2020)


ZHANG Chi1
1 Key Laboratory of Land Surface Pattern and Simulation，Institute of Geographic Sciences and Natural Resources Research，Chinese Academy of Sciences，Beijing 100101，China

DOI:10.3974/geodb.2024.07.04.V1

Published:Jul. 2024

Visitors：48       Data Files Downloaded：0      
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Key Words：

Meiyu,precipitation,moisture source,middle and lower reaches of the Yangtze River

Abstract：

The precipitation during the Rain (Meiyu) season (from June to July) has significant implications for droughts, floods, water resource management, and decision-making in the middle and lower reaches of the Yangtze River. Investigating the sources of Meiyu rainfall can help regulate and manage the Meiyu season from its origins. The author used an atmospheric precipitation water vapor tracing numerical model to trace the precipitation in the middle and lower reaches of the Yangtze River (26.5°N-33.5°N, 104.5°E-122.5°E) during the Meiyu season from 1991 to 2020. Then obtained a 30-year distribution of water vapor sources for Meiyu rainfall in the Yangtze River Basin. The model’s driving data were based on observed measurements, and multiple experiments were conducted for comparison and validation, ensuring the reliability of the simulation results. The dataset includes: (1) boundary of the study area; (2) yearly precipitation moisture source during the Meiyu period, with spatial resolution of 1°x1°, and the unit is mm; (3) yearly surface precipitation during the Meiyu period. The dataset is archived in .nc, .shp and .xlsx data formats, and consists of 9 data files with data size of 13.1 MB (Compressed into one file with 10.7 MB). The research results based on this dataset have been published in Weather and Climate Extremes, Vol. 43, 2024.

Foundation Item：

Ministry of Science and Technology of P. R. China (2023YFC3206603); China Scholarship Council (202310490002)

Data Citation：

ZHANG Chi. Yearly Precipitation Moisture Source for the Middle and Lower Reaches of the Yangtze River (26.5°N-33.5°N, 104.5°E-122.5°E) during the Rain (Meiyu) Season (1991-2020)[J/DB/OL]. Digital Journal of Global Change Data Repository, 2024. https://doi.org/10.3974/geodb.2024.07.04.V1.

References：


     [1] Wu, J., Gao, X. J. A gridded daily observation dataset over China region and comparison with the other datasets [J]. Chinese Journal of Geophysics, 2013, 56(4): 1102-1111.
     [2] Ding, Y., Liu, Y., Hu, Z. Z. The record-breaking Mei-yu in 2020 and associated atmospheric circulation and tropical SST anomalies [J]. Advances in Atmospheric Sciences, 2021, 38(12): 1980-1993.
     [3] Hersbach, H., Bell, B., Berrisford, P., et al. The ERA5 global reanalysis [J]. Quarterly Journal of the Royal Meteorological Society, 2020, 146(730): 1999-2049.
     [4] Martens, B., Miralles, D. G., Lievens, H., et al. GLEAM v3: Satellite-based land evaporation and root-zone soil moisture [J]. Geoscientific Model Development, 2017, 10(5): 1903-1925.
     [5] Van der Ent, R. J., Tuinenburg, O. A., Knoche, H. R., et al. Should we use a simple or complex model for moisture recycling and atmospheric moisture tracking? [J] Hydrology and Earth System Sciences, 2013, 17(12): 4869-4884.
     [6] Van der Ent, R. J., Wang-Erlandsson, L., Keys, P. W., et al. Contrasting roles of interception and transpiration in the hydrological cycle-Part 2: Moisture recycling [J]. Earth System Dynamics, 2014, 5(2): 471-489.
     [7] Zhang, C., Tang, Q., Chen, D. Recent changes in the moisture source of precipitation over the Tibetan Plateau [J]. Journal of Climate, 2017, 30(5): 1807-1819. https://doi.org/10.1175/JCLI-D-15-0842.1.
     [8] Zhang, C., Tang, Q., Chen, D., et al. Moisture source changes contributed to different precipitation changes over the Northern and Southern Tibetan Plateau [J]. Journal of Hydrometeorology, 2019, 20(2): 217-229. https://doi.org/10.1175/JHM-D-18-0094.1.
     [9] Zhang, L., Zhao, D., Zhou, T., et al. Moisture origins and transport processes for the 2020 Yangtze River Valley record-breaking Mei-yu rainfall [J]. Advances in Atmospheric Sciences, 2021(38): 2125-2136.
     

Data Product:

ID Data Name Data Size Operation
1 PrecSourceMLYangtzeRiver1991-2020.rar 11053.49KB
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