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Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: II. Trends of ETo and Weather Variables and Related Spatial Patterns

Author

Listed:
  • Xiaodong Ren

    (Inner Mongolia Agricultural University)

  • Diogo S. Martins

    (Universidade de Lisboa
    Universidade de Lisboa)

  • Zhongyi Qu

    (Inner Mongolia Agricultural University)

  • Paula Paredes

    (Universidade de Lisboa)

  • Luis S. Pereira

    (Universidade de Lisboa)

Abstract

This study focuses on assessing trends of reference evapotranspiration (ETo) considering aridity. Weather data sets of 54–62 years of Inner Mongolia, a Chinese Province where climate varies from hyper-arid in the West to wet sub-humid in the East, were used. Trends were analyzed for ETo computed with the FAO Penman-Monteith method (PM-ETo) using full data sets of maximum and minimum temperature (Tmax and Tmin), sunshine duration (SD) used to compute net radiation, relative humidity (RH) and wind speed (WS). Trends were also assessed for ETo computed with the Hargreaves-Samani temperature eq. (ETo HS) and the Penman-Monteith equation with temperature estimates of solar radiation and actual vapour pressure (ETo PMT). In addition, trends relative to Tmax, Tmin, SD, RH and WS were assessed. Trends for PM-ETo show to vary with aridity, with decreasing trends in the areas marked by aridity in the West and increased trends in less arid and sub-humid areas in the East. The detected trends are well explained by the trends in weather variables which consist of large increasing trends of Tmax and Tmin and of decreasing trends for SD, RH and WS. Therefore, negative trends of ETo occur where impacts of increases in temperature and decreases in RH are smaller than impacts of declining SD and WS; otherwise, when warming influences are larger it results a positive trend for ETo. Trends were coherent when considering seasonality influences. Contrarily, results for the temperature methods, ETo PMT and ETo HS, always identified increased trends for ETo due to warming effects. These results show that it is inappropriate to assess ETo trends when using simplified temperature methods.

Suggested Citation

  • Xiaodong Ren & Diogo S. Martins & Zhongyi Qu & Paula Paredes & Luis S. Pereira, 2016. "Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: II. Trends of ETo and Weather Variables and Related Spatial Patterns," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3793-3814, September.
    • Handle: RePEc:spr:waterr:v:30:y:2016:i:11:d:10.1007_s11269-016-1385-8
    DOI: 10.1007/s11269-016-1385-8
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    2. Paredes, Paula & Martins, Diogo S. & Pereira, Luis Santos & Cadima, Jorge & Pires, Carlos, 2018. "Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes," Agricultural Water Management, Elsevier, vol. 210(C), pages 340-353.
    3. Paredes, P. & Pereira, L.S., 2019. "Computing FAO56 reference grass evapotranspiration PM-ETo from temperature with focus on solar radiation," Agricultural Water Management, Elsevier, vol. 215(C), pages 86-102.
    4. Lai, Chengguang & Chen, Xiaohong & Zhong, Ruida & Wang, Zhaoli, 2022. "Implication of climate variable selections on the uncertainty of reference crop evapotranspiration projections propagated from climate variables projections under climate change," Agricultural Water Management, Elsevier, vol. 259(C).

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