Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: I. Assessing Temperature Methods and Spatial Variability

Xiaodong Ren, Zhongyi Qu (), Diogo S. Martins, Paula Paredes and Luis S. Pereira ()
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Xiaodong Ren: Inner Mongolia Agricultural University
Zhongyi Qu: Inner Mongolia Agricultural University
Diogo S. Martins: Universidade de Lisboa
Paula Paredes: Universidade de Lisboa
Luis S. Pereira: Universidade de Lisboa

Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), 2016, vol. 30, issue 11, No 7, 3769-3791

Abstract: Abstract When weather data sets available for computing the reference evapotranspiration are incomplete or of questionable quality, there is the need to replace the FAO Penman-Monteith (PM-ETo) method by approaches requiring reduced sets only, particularly maximum and minimum temperature. The Hargreaves-Samani (HS) equation and the PM-ETo using only temperature data (PMT) are considered in this study and their results are compared with those of the PM-ETo using full datasets. Daily data sets refer to the period 1981–2012 and to a network of 50 meteorological stations covering the wide range of climates of Inner Mongolia. For both the PMT and HS methods, the solar radiation coefficients kRs were calibrated and have shown to be similar for both methods and to vary with climate aridity. For the PMT, the estimation of the dew point temperature (Tdew) was performed using the minimum temperature corrected for site aridity or, for humid climates, from a value near the average temperature. This improved estimation of Tdew was essential for a good performance of the PMT method in arid conditions and when temperatures are extremely low. RMSE

Keywords: Grass reference evapotranspiration; Hargreaves-Samani (HS) eq.; PM-ETo method; PM temperature method (PMT); kRs radiation coefficient; Principal component analysis; Aridity index (search for similar items in EconPapers)
Date: 2016
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Citations: View citations in EconPapers (13)

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DOI: 10.1007/s11269-016-1384-9

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