Evaluation of evapotranspiration estimates from observed and reanalysis data sets over Indian region

In this study, we have computed the evapotranspiration (ET) from the input variables of India Meteorological Department (IMD) for different stations in Monsoon Core Region (MCR) of India and Indian Peninsular Region (IPR) and compared with the ERA Interim (ERA‐I) and CRU ET data sets. While studying...

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Veröffentlicht in:International journal of climatology 2019-12, Vol.39 (15), p.5791-5800
Hauptverfasser: Purnadurga, G., Kumar, T.V. Lakshmi, Rao, K. Koteswara, Barbosa, Humberto, Mall, R.K.
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container_issue 15
container_start_page 5791
container_title International journal of climatology
container_volume 39
creator Purnadurga, G.
Kumar, T.V. Lakshmi
Rao, K. Koteswara
Barbosa, Humberto
Mall, R.K.
description In this study, we have computed the evapotranspiration (ET) from the input variables of India Meteorological Department (IMD) for different stations in Monsoon Core Region (MCR) of India and Indian Peninsular Region (IPR) and compared with the ERA Interim (ERA‐I) and CRU ET data sets. While studying the discrepancies among the data sets, rainfall (source: IMD gridded), relative humidity (source: ERA Interim gridded), air temperature (source: IMD gridded) and soil moisture (source: TRMM/LPRM/TMI‐Model) were made use to illustrate the ET variations. When compared with IMD ET, our results show the CRU ET is underestimated but maintained the close pattern over MCR and IPR during South West (SW) monsoon (June–September) and North East (NE) monsoon (October–December) period, respectively. ERA‐I ET bounded to have mixed response over MCR and are higher than the IMD ET over IPR. Daily comparison of the IMD and ERA‐I ET data sets shows a large bias during the beginning of SW monsoon (June month) compared to other months. Site wise correlations show the substantial positive correlations between IMD and CRU ET over MCR than IPR. Overall analysis shows the monsoon features were better explained by the variations in IMD ET compared to CRU and ERA‐I ET data sets. The reported disparities among the data sets play an important role in the choice of selection for different applications such as water resource assessments, crop water requirements, monitoring of droughts etc. Comparison of evapotranspiration (ET) data sets obtained from IMD inputs, ERA‐I and CRU sources show substantial discrepancies. ET of IMD could explain the monsoon features over India compared to other data sets. The reported disparities play a key role in selecting the data sets for different applications. Mean seasonal ET over (a) MCR (b) IPR during SW and NE monsoon seasons of India from 1979 to 2014 obtained from IMD, ERS‐I and CRU data sets.
doi_str_mv 10.1002/joc.6189
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Lakshmi ; Rao, K. Koteswara ; Barbosa, Humberto ; Mall, R.K.</creator><creatorcontrib>Purnadurga, G. ; Kumar, T.V. Lakshmi ; Rao, K. Koteswara ; Barbosa, Humberto ; Mall, R.K.</creatorcontrib><description>In this study, we have computed the evapotranspiration (ET) from the input variables of India Meteorological Department (IMD) for different stations in Monsoon Core Region (MCR) of India and Indian Peninsular Region (IPR) and compared with the ERA Interim (ERA‐I) and CRU ET data sets. While studying the discrepancies among the data sets, rainfall (source: IMD gridded), relative humidity (source: ERA Interim gridded), air temperature (source: IMD gridded) and soil moisture (source: TRMM/LPRM/TMI‐Model) were made use to illustrate the ET variations. When compared with IMD ET, our results show the CRU ET is underestimated but maintained the close pattern over MCR and IPR during South West (SW) monsoon (June–September) and North East (NE) monsoon (October–December) period, respectively. ERA‐I ET bounded to have mixed response over MCR and are higher than the IMD ET over IPR. Daily comparison of the IMD and ERA‐I ET data sets shows a large bias during the beginning of SW monsoon (June month) compared to other months. Site wise correlations show the substantial positive correlations between IMD and CRU ET over MCR than IPR. Overall analysis shows the monsoon features were better explained by the variations in IMD ET compared to CRU and ERA‐I ET data sets. The reported disparities among the data sets play an important role in the choice of selection for different applications such as water resource assessments, crop water requirements, monitoring of droughts etc. Comparison of evapotranspiration (ET) data sets obtained from IMD inputs, ERA‐I and CRU sources show substantial discrepancies. ET of IMD could explain the monsoon features over India compared to other data sets. The reported disparities play a key role in selecting the data sets for different applications. 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Lakshmi</creatorcontrib><creatorcontrib>Rao, K. Koteswara</creatorcontrib><creatorcontrib>Barbosa, Humberto</creatorcontrib><creatorcontrib>Mall, R.K.</creatorcontrib><title>Evaluation of evapotranspiration estimates from observed and reanalysis data sets over Indian region</title><title>International journal of climatology</title><description>In this study, we have computed the evapotranspiration (ET) from the input variables of India Meteorological Department (IMD) for different stations in Monsoon Core Region (MCR) of India and Indian Peninsular Region (IPR) and compared with the ERA Interim (ERA‐I) and CRU ET data sets. While studying the discrepancies among the data sets, rainfall (source: IMD gridded), relative humidity (source: ERA Interim gridded), air temperature (source: IMD gridded) and soil moisture (source: TRMM/LPRM/TMI‐Model) were made use to illustrate the ET variations. When compared with IMD ET, our results show the CRU ET is underestimated but maintained the close pattern over MCR and IPR during South West (SW) monsoon (June–September) and North East (NE) monsoon (October–December) period, respectively. ERA‐I ET bounded to have mixed response over MCR and are higher than the IMD ET over IPR. Daily comparison of the IMD and ERA‐I ET data sets shows a large bias during the beginning of SW monsoon (June month) compared to other months. Site wise correlations show the substantial positive correlations between IMD and CRU ET over MCR than IPR. Overall analysis shows the monsoon features were better explained by the variations in IMD ET compared to CRU and ERA‐I ET data sets. The reported disparities among the data sets play an important role in the choice of selection for different applications such as water resource assessments, crop water requirements, monitoring of droughts etc. Comparison of evapotranspiration (ET) data sets obtained from IMD inputs, ERA‐I and CRU sources show substantial discrepancies. ET of IMD could explain the monsoon features over India compared to other data sets. The reported disparities play a key role in selecting the data sets for different applications. 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Lakshmi</creatorcontrib><creatorcontrib>Rao, K. Koteswara</creatorcontrib><creatorcontrib>Barbosa, Humberto</creatorcontrib><creatorcontrib>Mall, R.K.</creatorcontrib><collection>CrossRef</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><jtitle>International journal of climatology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Purnadurga, G.</au><au>Kumar, T.V. Lakshmi</au><au>Rao, K. Koteswara</au><au>Barbosa, Humberto</au><au>Mall, R.K.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluation of evapotranspiration estimates from observed and reanalysis data sets over Indian region</atitle><jtitle>International journal of climatology</jtitle><date>2019-12</date><risdate>2019</risdate><volume>39</volume><issue>15</issue><spage>5791</spage><epage>5800</epage><pages>5791-5800</pages><issn>0899-8418</issn><eissn>1097-0088</eissn><abstract>In this study, we have computed the evapotranspiration (ET) from the input variables of India Meteorological Department (IMD) for different stations in Monsoon Core Region (MCR) of India and Indian Peninsular Region (IPR) and compared with the ERA Interim (ERA‐I) and CRU ET data sets. While studying the discrepancies among the data sets, rainfall (source: IMD gridded), relative humidity (source: ERA Interim gridded), air temperature (source: IMD gridded) and soil moisture (source: TRMM/LPRM/TMI‐Model) were made use to illustrate the ET variations. When compared with IMD ET, our results show the CRU ET is underestimated but maintained the close pattern over MCR and IPR during South West (SW) monsoon (June–September) and North East (NE) monsoon (October–December) period, respectively. ERA‐I ET bounded to have mixed response over MCR and are higher than the IMD ET over IPR. Daily comparison of the IMD and ERA‐I ET data sets shows a large bias during the beginning of SW monsoon (June month) compared to other months. Site wise correlations show the substantial positive correlations between IMD and CRU ET over MCR than IPR. Overall analysis shows the monsoon features were better explained by the variations in IMD ET compared to CRU and ERA‐I ET data sets. The reported disparities among the data sets play an important role in the choice of selection for different applications such as water resource assessments, crop water requirements, monitoring of droughts etc. Comparison of evapotranspiration (ET) data sets obtained from IMD inputs, ERA‐I and CRU sources show substantial discrepancies. ET of IMD could explain the monsoon features over India compared to other data sets. The reported disparities play a key role in selecting the data sets for different applications. Mean seasonal ET over (a) MCR (b) IPR during SW and NE monsoon seasons of India from 1979 to 2014 obtained from IMD, ERS‐I and CRU data sets.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><doi>10.1002/joc.6189</doi><tpages>10</tpages><orcidid>https://orcid.org/0000-0002-6191-7969</orcidid></addata></record>
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source Wiley Online Library Journals Frontfile Complete
subjects Air temperature
Correlation
Crop water
CRU and India
Data
Datasets
Drought
Environmental monitoring
ERA‐I
Evapotranspiration
Evapotranspiration estimates
IMD
Monsoons
Rain
Rainfall
Relative humidity
Soil
Soil moisture
Soil temperature
Tropical Rainfall Measuring Mission (TRMM)
Water requirements
Water resources
Wind
title Evaluation of evapotranspiration estimates from observed and reanalysis data sets over Indian region
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