Prediction of Biome-Specific Potential Evapotranspiration in Mongolia under a Scarcity of Weather Data

被引:5
作者
Batsukh, Khulan [1 ]
Zlotnik, Vitaly A. [1 ]
Suyker, Andrew [2 ]
Nasta, Paolo [3 ]
机构
[1] Univ Nebraska Lincoln, Dept Earth & Atmospher Sci, Lincoln, NE 68588 USA
[2] Univ Nebraska Lincoln, Sch Nat Resources, Lincoln, NE 68588 USA
[3] Univ Naples Federico II, Dept Agr Sci, I-80055 Naples, Italy
关键词
Gobi Desert; steppe grasslands; crop coefficient; solar radiation; arid climate; leaf area index; TEMPERATE DESERT STEPPE; INNER-MONGOLIA; PENMAN-MONTEITH; HARGREAVES; MODEL; EVAPORATION; EQUATIONS; DYNAMICS; CROP;
D O I
10.3390/w13182470
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
We propose practical guidelines to predict biome-specific potential evapotranspiration (ETp) from the knowledge of grass-reference evapotranspiration (ET0) and a crop coefficient (K-c) in Mongolia. A paucity of land-based weather data hampers use of the Penman-Monteith equation (FAO-56 PM) based on the Food and Agriculture Organization (FAO) guidelines to predict daily ET0. We found that the application of the Hargreaves equation provides ET0 estimates very similar to those from the FAO-56 PM approach. The K-c value is tabulated only for crops in the FAO-56 guidelines but is unavailable for steppe grasslands. Therefore, we proposed a new crop coefficient, K-c adj defined by (a) net solar radiation in the Gobi Desert (K-c adjD) or (b) leaf area index in the steppe region (K-c adjS) in Mongolia. The mean annual ETp obtained using our approach was compared to that obtained by FAO-56 guidelines for forages (not steppe) based on tabulated K-c values in 41 locations in Mongolia. We found the differences are acceptable (RMSE of 0.40 mm d(-1)) in northern Mongolia under high vegetation cover but rather high (RMSE of 1.69 and 2.65 mm d(-1)) in central and southern Mongolia. The FAO aridity index (AI) is empirically related to the ETp/ET0 ratio. Approximately 80% and 54% reduction of ET0 was reported in the Gobi Desert and in the steppe locations, respectively. Our proposed K-c adj can be further improved by considering local weather data and plant phenological characteristics.
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页数:20
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