Temporal Trends in Estimates of Reference Evapotranspiration over India

Bandyopadhyay, Arnab; Bhadra, A.; Raghuwanshi, N. S.; Singh, Rajendra Prasad

doi:10.1061/(asce)he.1943-5584.0000006

Cited by 219 publications

(122 citation statements)

References 25 publications

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“…The SWS decrease has also been identified as a key factor in reducing the atmospheric evaporative demand in China's Yangtze River Basin, Northwest China and North China Plain (Xu et al 2006a;Shen et al 2010;Song et al 2010). Similar decreases in pan-evaporation, mainly attributed to SWS decreases, have also been reported in the United States (Hobbins 2004) and India (Verma et al 2008;Bandyopadhyay et al 2009). Further discussion of the importance of SWS in the evaporative process can be found in the studies of McVicar et al (2012a, b), which review the influence of SWS changes on evaporation.…”

Section: Introductionmentioning

confidence: 79%

Changes in terrestrial near-surface wind speed and their possible causes: an overview

et al. 2017

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drag forces are caused by changes in the external and internal friction in the atmosphere. Changes in surface friction are mainly caused by changes in the surface roughness due to land use and cover change (LUCC), including urbanization, and changes in internal friction are mainly induced by changes in the boundary layer characteristics. Future studies should compare the spatio-temporal differences in SWS between high and low altitudes and quantify the effects of different factors on the SWS. Additionally, in-depth analysis of extreme SWS events and prediction of future mean and extreme SWS values at global and regional scales are also necessary. Abstract Changes in terrestrial near-surface wind speed (SWS) are induced by a combination of anthropogenic activities and natural climate changes. Thus, the study of the long-term changes of SWS and their causes is very important for recognizing the effects of these processes. Although the slowdown in SWS has been analyzed in previous studies, to the best of knowledge, no overall comparison or detailed examination of this research has been performed. Similarly, the causes of the decreases in SWS and the best directions of future research have not been discussed in depth. Therefore, we analyzed a series of studies reporting SWS trends spanning the last 30 years from around the world. The changes in SWS differ among different regions. The most significant decreases have occurred in Central Asia and North America, with mean linear trends of − 0.11 m s −1 decade −1 ; the second most significant decreases have occurred in Europe, East Asia, and South Asia, with mean linear trends of − 0.08 m s −1 decade −1 ; and the weakest decrease has occurred in Australia. Although the SWS in Africa has decreased, this region lacks long-term observational data. Therefore, the uncertainties in the long-term SWS trend are higher in this region than in other regions. The changes in SWS, caused by a mixture of global-, regional-, and localscale factors, are mainly due to changes in driving forces and drag forces. The changes in the driving forces are caused by changes in atmospheric circulation, and the changes in the Keywords

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Section: Introductionmentioning

confidence: 79%

Changes in terrestrial near-surface wind speed and their possible causes: an overview

et al. 2017

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“…The results presented in Bandyopadhyay et al (2009) show a significant decreasing trend in ET 0 estimated by the FAO 56 Penman-Monteith method over different agro-ecological regions of India during the period . In another study, Jhajharia et al (2012) investigated the trends in ET 0 estimated using the Penman-Monteith method for the humid region of northeast India by using the Mann-Kendall test.…”

Section: Introductionmentioning

confidence: 85%

Analysis of trends in reference evapotranspiration data in a humid climate

Gocić

Trajković

2013

Hydrological Sciences Journal

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Statistically significant FAO-56 Penman-Monteith (FAO-56 PM) and adjusted Hargreaves (AHARG) reference evapotranspiration (ET 0 ) trends at monthly, seasonal and annual time scales were analysed by using linear regression, Mann-Kendall and Spearman's Rho tests at the 1 and 5% significance levels. Meteorological data were used from 12 meteorological stations in Serbia, which has a humid climate, for the period 1980-2010. Web-based software for conducting the trend analyses was developed. All of the trends significant at the 1 and 5% significance levels were increasing. The FAO-56 PM ET 0 trends were almost similar to the AHARG trends. On the seasonal time scale, for the majority of stations significant increasing trends occurred in summer, while no significant positive or negative trends were detected by the trend tests in autumn for the AHARG series. Moreover, 70% of the stations were characterized by significant increasing trends for both annual ET 0 series.

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“…Some researchers found there were decreasing trends in ET 0 or pan evaporation (ET pan ) in the different regions throughout the world including Canadian, the USA, Australia, and India (Gan 1998;Lawrimore and Peterson 2000;Roderick and Farquhar 2004;Bandyopadhyay et al 2009;Jhajhariam et al 2011). On the other hand, ET 0 has increasing trends in some regions (Hess 1998;Talaee et al 2014).…”

Section: Introductionmentioning

confidence: 99%

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

Liu

Lai

et al. 2015

Theor Appl Climatol

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Reference evapotranspiration (ET 0 ) is the key factor for hydrologic water balance, irrigation scheduling, and water resources planning. Based on Food and Agriculture Organization (FAO) Penman-Monteith method and the climate variables of 57 meteorological stations from 1960 to 2010 in southwest China, the spatial and temporal distributions of ET 0 were analyzed by using Mann-Kendall test and Sen's slope estimator. Sensitivity coefficient was used to analyze the sensitivities of ET 0 to four climate variables, and the key climate variables attributed to ET 0 change were determined. Result showed that there was a slight downward trend of ET 0 from 1960 to 2010 and spatially increasing trend from northeast to southwest in annual time scale. Results also showed that ET 0 had relatively higher sensitivity to wind speed and mean air temperature, and wind speed was the dominant variable for change of ET 0 in southwest China. The inverse relationship between increasing air temperature and decreasing evaporation, Bevaporation paradox,^existed in southwest China, and the negative contribution of wind speed to the changes of ET 0 offset the positive contribution of air temperature.

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Temporal Trends in Estimates of Reference Evapotranspiration over India

Cited by 219 publications

References 25 publications

Changes in terrestrial near-surface wind speed and their possible causes: an overview

Changes in terrestrial near-surface wind speed and their possible causes: an overview

Analysis of trends in reference evapotranspiration data in a humid climate

Reference evapotranspiration change and its sensitivity to climate variables in southwest China

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