No Cover Image

Journal article 1425 views 510 downloads

The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm

Paul Alton

Agricultural and Forest Meteorology, Volume: 218-219, Pages: 11 - 24

Swansea University Author: Paul Alton

DOI (Published version): 10.1016/j.agrformet.2015.11.010

Published in: Agricultural and Forest Meteorology
Published: 2016
URI: https://cronfa.swan.ac.uk/Record/cronfa26083
first_indexed 2016-02-05T02:06:46Z
last_indexed 2018-02-09T05:07:41Z
id cronfa26083
recordtype SURis
fullrecord <?xml version="1.0"?><rfc1807><datestamp>2017-04-05T14:58:47.3494494</datestamp><bib-version>v2</bib-version><id>26083</id><entry>2016-02-04</entry><title>The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman&#x2013;Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm</title><swanseaauthors><author><sid>0628c0f305576249f866b2ff542dd076</sid><firstname>Paul</firstname><surname>Alton</surname><name>Paul Alton</name><active>true</active><ethesisStudent>false</ethesisStudent></author></swanseaauthors><date>2016-02-04</date><deptcode>BGPS</deptcode><abstract/><type>Journal Article</type><journal>Agricultural and Forest Meteorology</journal><volume>218-219</volume><paginationStart>11</paginationStart><paginationEnd>24</paginationEnd><publisher/><keywords/><publishedDay>15</publishedDay><publishedMonth>3</publishedMonth><publishedYear>2016</publishedYear><publishedDate>2016-03-15</publishedDate><doi>10.1016/j.agrformet.2015.11.010</doi><url/><notes/><college>COLLEGE NANME</college><department>Biosciences Geography and Physics School</department><CollegeCode>COLLEGE CODE</CollegeCode><DepartmentCode>BGPS</DepartmentCode><institution>Swansea University</institution><apcterm/><lastEdited>2017-04-05T14:58:47.3494494</lastEdited><Created>2016-02-04T16:55:12.4877732</Created><path><level id="1">Faculty of Science and Engineering</level><level id="2">School of Biosciences, Geography and Physics - Geography</level></path><authors><author><firstname>Paul</firstname><surname>Alton</surname><order>1</order></author></authors><documents><document><filename>0026083-06052016093201.pdf</filename><originalFilename>alton_gpp_forcing_2016.pdf</originalFilename><uploaded>2016-05-06T09:32:01.4070000</uploaded><type>Output</type><contentLength>470815</contentLength><contentType>application/pdf</contentType><version>Accepted Manuscript</version><cronfaStatus>true</cronfaStatus><embargoDate>2016-12-17T00:00:00.0000000</embargoDate><copyrightCorrect>true</copyrightCorrect></document></documents><OutputDurs/></rfc1807>
spelling 2017-04-05T14:58:47.3494494 v2 26083 2016-02-04 The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm 0628c0f305576249f866b2ff542dd076 Paul Alton Paul Alton true false 2016-02-04 BGPS Journal Article Agricultural and Forest Meteorology 218-219 11 24 15 3 2016 2016-03-15 10.1016/j.agrformet.2015.11.010 COLLEGE NANME Biosciences Geography and Physics School COLLEGE CODE BGPS Swansea University 2017-04-05T14:58:47.3494494 2016-02-04T16:55:12.4877732 Faculty of Science and Engineering School of Biosciences, Geography and Physics - Geography Paul Alton 1 0026083-06052016093201.pdf alton_gpp_forcing_2016.pdf 2016-05-06T09:32:01.4070000 Output 470815 application/pdf Accepted Manuscript true 2016-12-17T00:00:00.0000000 true
title The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
spellingShingle The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
Paul Alton
title_short The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
title_full The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
title_fullStr The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
title_full_unstemmed The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
title_sort The sensitivity of models of gross primary productivity to meteorological and leaf area forcing: A comparison between a Penman–Monteith ecophysiological approach and the MODIS Light-Use Efficiency algorithm
author_id_str_mv 0628c0f305576249f866b2ff542dd076
author_id_fullname_str_mv 0628c0f305576249f866b2ff542dd076_***_Paul Alton
author Paul Alton
author2 Paul Alton
format Journal article
container_title Agricultural and Forest Meteorology
container_volume 218-219
container_start_page 11
publishDate 2016
institution Swansea University
doi_str_mv 10.1016/j.agrformet.2015.11.010
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Biosciences, Geography and Physics - Geography{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Biosciences, Geography and Physics - Geography
document_store_str 1
active_str 0
published_date 2016-03-15T03:50:03Z
_version_ 1851091691852791808
score 11.089386

Similar Items