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Assessing Gridded Precipitation and Air Temperature Products in the Ayakkum Lake, Central Asia

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  • Shengjie Wang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province, Lanzhou 730070, China)

  • Hongyang Li

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province, Lanzhou 730070, China)

  • Mingjun Zhang

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province, Lanzhou 730070, China)

  • Lihong Duan

    (College of Geography and Environmental Science, Northwest Normal University, Lanzhou 730070, China
    Key Laboratory of Resource Environment and Sustainable Development of Oasis of Gansu Province, Lanzhou 730070, China)

  • Xiaofan Zhu

    (Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou 730000, China)

  • Yanjun Che

    (Department of Geography Science, Yichun University, Yichun 336000, China)

Abstract

We evaluated the performance of gridded precipitation and air temperature datasets near the Ayakkum Lake at the southern margin of Xinjiang, arid central Asia. Statistical measures were applied to assess these climate products on a monthly basis from 2013 to 2018. For monthly precipitation amount, the European Centre for Medium-Range Weather Forecasts Reanalysis 5 shows a good performance among the five products based on most statistical measures, and the China Meteorological Forcing Dataset can also be used as an alternative, especially for estimating the long-term annual mean. For monthly air temperature, WorldClim historical weather data are recommended because of the low mean absolute error, root mean square error and distance between indices of simulation and observation. Better spatial and temporal coverages of in-situ observations are still needed to produce an optimal correction scheme for the mountainous regions of arid central Asia.

Suggested Citation

  • Shengjie Wang & Hongyang Li & Mingjun Zhang & Lihong Duan & Xiaofan Zhu & Yanjun Che, 2022. "Assessing Gridded Precipitation and Air Temperature Products in the Ayakkum Lake, Central Asia," Sustainability, MDPI, vol. 14(17), pages 1-13, August.
    • Handle: RePEc:gam:jsusta:v:14:y:2022:i:17:p:10654-:d:898685
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    References listed on IDEAS

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    1. Yong Zhang & Chengbang An & Luyu Liu & Yanzhen Zhang & Chao Lu & Wensheng Zhang, 2021. "High Mountains Becoming Wetter While Deserts Getting Drier in Xinjiang, China since the 1980s," Land, MDPI, vol. 10(11), pages 1-14, October.
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    Cited by:

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