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Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model
An empirical equation for annual evaporation (E) of the form, E = P/(1 + (P/Rn)alpha) 1/alpha, where P is the annual precipitation, Rn the water equivalent of annual net radiation, and alpha an adjustable parameter, is evaluated using field observations (water balance, and micrometeorologic measurem...
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Published in: | Journal of hydrology (Amsterdam) 1999-03, Vol.216 (1/2), p.99-110 |
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description | An empirical equation for annual evaporation (E) of the form, E = P/(1 + (P/Rn)alpha) 1/alpha, where P is the annual precipitation, Rn the water equivalent of annual net radiation, and alpha an adjustable parameter, is evaluated using field observations (water balance, and micrometeorologic measurements for areas ca. 1 km2) at eight locations having different types of vegetation, and results from a biophysical process-based model for four years (1987-1990) for ten river basins (areas larger than 10(6) km2). For the field observations, minimum value of the mean absolute error (MAE) was 33 mm (4% of the mean observed evaporation) obtained for alpha = 2.6, and the empirical equation was able to explain 99% of the variance under linear least square regression, with a slope of 0.99, intercept of 16 mm, and standard error of estimate (SEE) of 46 mm. For evaporation from the river basins, minimum value of the MAE was 36 mm (5% of the mean evaporation) obtained for alpha = 1.8, and the empirical equation was able to explain 97% of the variance, with linear regression slope of 1.01, intercept of -11 mm, and SEE of 45 mm. The effect of spatial variations in P and Rn in determining evaporation from the empirical equation is analyzed to develop an understanding of the differences in the value of alpha for the field observations and the river basins. |
doi_str_mv | 10.1016/s0022-1694(98)00293-5 |
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For the field observations, minimum value of the mean absolute error (MAE) was 33 mm (4% of the mean observed evaporation) obtained for alpha = 2.6, and the empirical equation was able to explain 99% of the variance under linear least square regression, with a slope of 0.99, intercept of 16 mm, and standard error of estimate (SEE) of 46 mm. For evaporation from the river basins, minimum value of the MAE was 36 mm (5% of the mean evaporation) obtained for alpha = 1.8, and the empirical equation was able to explain 97% of the variance, with linear regression slope of 1.01, intercept of -11 mm, and SEE of 45 mm. The effect of spatial variations in P and Rn in determining evaporation from the empirical equation is analyzed to develop an understanding of the differences in the value of alpha for the field observations and the river basins.</description><identifier>ISSN: 0022-1694</identifier><identifier>EISSN: 1879-2707</identifier><identifier>DOI: 10.1016/s0022-1694(98)00293-5</identifier><identifier>CODEN: JHYDA7</identifier><language>eng</language><publisher>Amsterdam: Elsevier Science</publisher><subject>Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Hydrology ; Hydrology. 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For the field observations, minimum value of the mean absolute error (MAE) was 33 mm (4% of the mean observed evaporation) obtained for alpha = 2.6, and the empirical equation was able to explain 99% of the variance under linear least square regression, with a slope of 0.99, intercept of 16 mm, and standard error of estimate (SEE) of 46 mm. For evaporation from the river basins, minimum value of the MAE was 36 mm (5% of the mean evaporation) obtained for alpha = 1.8, and the empirical equation was able to explain 97% of the variance, with linear regression slope of 1.01, intercept of -11 mm, and SEE of 45 mm. The effect of spatial variations in P and Rn in determining evaporation from the empirical equation is analyzed to develop an understanding of the differences in the value of alpha for the field observations and the river basins.</description><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Hydrology</subject><subject>Hydrology. Hydrogeology</subject><subject>mathematical models</subject><subject>rain</subject><subject>simulation models</subject><subject>solar radiation</subject><issn>0022-1694</issn><issn>1879-2707</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>1999</creationdate><recordtype>article</recordtype><recordid>eNqFkUlvFDEQhS0EEkPgJyB8QAgOnXgZb0cUhUWKlEOSs1XjtoNRd7vjmh4l_x7PIjhSF6teffUsvSLkPWfnnHF9gYwJ0XHt1p-d_dIaJzv1gqy4Na4ThpmXZPUXeU3eIP5mraRcr8jT1Q6GBba5TLQkChON45xrDjDQ-HgapFLbZFr22g7mUo_ygnl6oCnHoadlg7HuDjo2tqc14jJskaZaRgp0k8v86xkPvmPp4_CWvEowYHx3es_I_beru8sf3fXN95-XX687UMxsO6dlCMGaXgcGQVoR16CMYIGJnnGlDEguwyZEbkPSYaMSU0IF3YteSCm1PCOfjr5zLY9LxK0fM4Y4DDDFsqDnhjur1vb_oNRaC-caqI5gqAWxxuTnmkeoz54zvz-Iv92n7fdpe2f94SBetb2Ppw8AWwypwhQy_ls2wkgrG_bhiCUoHh5qQ-5vBeOy2XCtjJN_AG0gloE</recordid><startdate>19990308</startdate><enddate>19990308</enddate><creator>Choudhury, B.J</creator><general>Elsevier Science</general><scope>FBQ</scope><scope>IQODW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7QH</scope><scope>7UA</scope><scope>C1K</scope></search><sort><creationdate>19990308</creationdate><title>Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model</title><author>Choudhury, B.J</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a507t-963ccc87d6c0ac382e4a5720c02d01557a313cbce18cf6cb5f0525c6d2d233363</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>1999</creationdate><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Hydrology</topic><topic>Hydrology. Hydrogeology</topic><topic>mathematical models</topic><topic>rain</topic><topic>simulation models</topic><topic>solar radiation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Choudhury, B.J</creatorcontrib><collection>AGRIS</collection><collection>Pascal-Francis</collection><collection>CrossRef</collection><collection>Aqualine</collection><collection>Water Resources Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><jtitle>Journal of hydrology (Amsterdam)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Choudhury, B.J</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model</atitle><jtitle>Journal of hydrology (Amsterdam)</jtitle><date>1999-03-08</date><risdate>1999</risdate><volume>216</volume><issue>1/2</issue><spage>99</spage><epage>110</epage><pages>99-110</pages><issn>0022-1694</issn><eissn>1879-2707</eissn><coden>JHYDA7</coden><abstract>An empirical equation for annual evaporation (E) of the form, E = P/(1 + (P/Rn)alpha) 1/alpha, where P is the annual precipitation, Rn the water equivalent of annual net radiation, and alpha an adjustable parameter, is evaluated using field observations (water balance, and micrometeorologic measurements for areas ca. 1 km2) at eight locations having different types of vegetation, and results from a biophysical process-based model for four years (1987-1990) for ten river basins (areas larger than 10(6) km2). For the field observations, minimum value of the mean absolute error (MAE) was 33 mm (4% of the mean observed evaporation) obtained for alpha = 2.6, and the empirical equation was able to explain 99% of the variance under linear least square regression, with a slope of 0.99, intercept of 16 mm, and standard error of estimate (SEE) of 46 mm. For evaporation from the river basins, minimum value of the MAE was 36 mm (5% of the mean evaporation) obtained for alpha = 1.8, and the empirical equation was able to explain 97% of the variance, with linear regression slope of 1.01, intercept of -11 mm, and SEE of 45 mm. The effect of spatial variations in P and Rn in determining evaporation from the empirical equation is analyzed to develop an understanding of the differences in the value of alpha for the field observations and the river basins.</abstract><cop>Amsterdam</cop><pub>Elsevier Science</pub><doi>10.1016/s0022-1694(98)00293-5</doi><tpages>12</tpages></addata></record> |
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subjects | Earth sciences Earth, ocean, space Exact sciences and technology Hydrology Hydrology. Hydrogeology mathematical models rain simulation models solar radiation |
title | Evaluation of an empirical equation for annual evaporation using field observations and results from a biophysical model |
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