Loading…

Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network

This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, and compared with the carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results sh...

Full description

Saved in:
Bibliographic Details
Published in:Biogeosciences 2014-05, Vol.11 (10), p.2661-2678
Main Authors: Balzarolo, M, Boussetta, S, Balsamo, G, Beljaars, A, Maignan, F, Calvet, J.-C, Lafont, S, Barbu, A, Poulter, B, Chevallier, F, Szczypta, C, Papale, D
Format: Article
Language:English
Subjects:
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
cited_by cdi_FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3
cites cdi_FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3
container_end_page 2678
container_issue 10
container_start_page 2661
container_title Biogeosciences
container_volume 11
creator Balzarolo, M
Boussetta, S
Balsamo, G
Beljaars, A
Maignan, F
Calvet, J.-C
Lafont, S
Barbu, A
Poulter, B
Chevallier, F
Szczypta, C
Papale, D
description This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, and compared with the carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results show that the three simulations have the best performance for forest sites and the poorest performance for cropland and grassland sites. In addition, the three simulations have difficulties capturing the seasonality of Mediterranean and sub-tropical biomes, characterized by dry summers. This reduced simulation performance is also reflected in deficiencies in diagnosed light-use efficiency (LUE) and vapour pressure deficit (VPD) dependencies compared to observations. Shortcomings in the forcing data may also play a role. These results indicate that more research is needed on the LUE and VPD functions for Mediterranean and sub-tropical biomes. Finally, this study highlights the importance of correctly representing phenology (i.e. leaf area evolution) and management (i.e. rotation-irrigation for cropland, and grazing-harvesting for grassland) to simulate the carbon dynamics of European ecosystems and the importance of ecosystem-level observations in model development and validation.
doi_str_mv 10.5194/bg-11-2661-2014
format article
fullrecord <record><control><sourceid>gale_doaj_</sourceid><recordid>TN_cdi_doaj_primary_oai_doaj_org_article_8fca9fc30d6147139e676d2e04e0eeb5</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><galeid>A481419537</galeid><doaj_id>oai_doaj_org_article_8fca9fc30d6147139e676d2e04e0eeb5</doaj_id><sourcerecordid>A481419537</sourcerecordid><originalsourceid>FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3</originalsourceid><addsrcrecordid>eNptkk-L2zAQxU1podttz70KetqDdzWWLNnHENJuIFDon7OQ5LHXqWO5kpzdfIl-5spNaRsoAml4-r0HM0yWvQV6W0LN70yXA-SFEOmiwJ9lVyALkXOo6uf_1C-zVyHsKWUVrcqr7MfmqIdZx37sSHxAMrmIY-z1QFxLBu07zIPVA5LQH-YhcW4MJDoyeWx6G4nV3riRtMP8hGHxRPQeQ_RLBFoXTiHiIf0c0RNNNrN3E-qRbJrmRNbuqBM4WiQjxkfnv73OXrR6CPjm93udfX2_-bK-z3cfP2zXq11uS4CYN0ArLlsuqJa8oEYaEIZVBkpKbSNZJasCTW1rMKWkzBpZYyPaRhQtB8GQXWfbc27j9F5Nvj9of1JO9-qX4HyntI-9HVBVrdV1axltBHAJrEYhRVMg5UgRTZmybs5ZD3q4iLpf7dSi0UIwVkt6hMS-O7OTd9_nNCe1d7MfU6sKSsZ4UQHIv1SXJq_6sXXRa3vog1UrXgGHumQLdfsfKp0GD711I7Z90i8MNxeGxER8ip2eQ1Dbz58u2bsza70LwWP7pzOgatk3ZToFoJZ9U8u-sZ8ZEccf</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1533428117</pqid></control><display><type>article</type><title>Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network</title><source>Publicly Available Content Database</source><source>DOAJ Directory of Open Access Journals</source><creator>Balzarolo, M ; Boussetta, S ; Balsamo, G ; Beljaars, A ; Maignan, F ; Calvet, J.-C ; Lafont, S ; Barbu, A ; Poulter, B ; Chevallier, F ; Szczypta, C ; Papale, D</creator><creatorcontrib>Balzarolo, M ; Boussetta, S ; Balsamo, G ; Beljaars, A ; Maignan, F ; Calvet, J.-C ; Lafont, S ; Barbu, A ; Poulter, B ; Chevallier, F ; Szczypta, C ; Papale, D</creatorcontrib><description>This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, and compared with the carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results show that the three simulations have the best performance for forest sites and the poorest performance for cropland and grassland sites. In addition, the three simulations have difficulties capturing the seasonality of Mediterranean and sub-tropical biomes, characterized by dry summers. This reduced simulation performance is also reflected in deficiencies in diagnosed light-use efficiency (LUE) and vapour pressure deficit (VPD) dependencies compared to observations. Shortcomings in the forcing data may also play a role. These results indicate that more research is needed on the LUE and VPD functions for Mediterranean and sub-tropical biomes. Finally, this study highlights the importance of correctly representing phenology (i.e. leaf area evolution) and management (i.e. rotation-irrigation for cropland, and grazing-harvesting for grassland) to simulate the carbon dynamics of European ecosystems and the importance of ecosystem-level observations in model development and validation.</description><identifier>ISSN: 1726-4189</identifier><identifier>ISSN: 1726-4170</identifier><identifier>EISSN: 1726-4189</identifier><identifier>DOI: 10.5194/bg-11-2661-2014</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Comparative analysis ; Environmental aspects ; Environmental Sciences ; Global Changes ; Plant evolution ; Terrestrial ecosystems</subject><ispartof>Biogeosciences, 2014-05, Vol.11 (10), p.2661-2678</ispartof><rights>COPYRIGHT 2014 Copernicus GmbH</rights><rights>Copyright Copernicus GmbH 2014</rights><rights>Attribution</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3</citedby><cites>FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3</cites><orcidid>0000-0001-6425-6492 ; 0000-0001-5170-8648 ; 0000-0002-1745-3634 ; 0000-0001-8646-8701 ; 0000-0002-9493-8600 ; 0000-0002-4327-3813 ; 0000-0002-9605-8092 ; 0000-0001-5024-5928</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/1533428117/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/1533428117?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,864,885,2102,25753,27924,27925,37012,44590,75126</link.rule.ids><backlink>$$Uhttps://hal.inrae.fr/hal-02633970$$DView record in HAL$$Hfree_for_read</backlink></links><search><creatorcontrib>Balzarolo, M</creatorcontrib><creatorcontrib>Boussetta, S</creatorcontrib><creatorcontrib>Balsamo, G</creatorcontrib><creatorcontrib>Beljaars, A</creatorcontrib><creatorcontrib>Maignan, F</creatorcontrib><creatorcontrib>Calvet, J.-C</creatorcontrib><creatorcontrib>Lafont, S</creatorcontrib><creatorcontrib>Barbu, A</creatorcontrib><creatorcontrib>Poulter, B</creatorcontrib><creatorcontrib>Chevallier, F</creatorcontrib><creatorcontrib>Szczypta, C</creatorcontrib><creatorcontrib>Papale, D</creatorcontrib><title>Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network</title><title>Biogeosciences</title><description>This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, and compared with the carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results show that the three simulations have the best performance for forest sites and the poorest performance for cropland and grassland sites. In addition, the three simulations have difficulties capturing the seasonality of Mediterranean and sub-tropical biomes, characterized by dry summers. This reduced simulation performance is also reflected in deficiencies in diagnosed light-use efficiency (LUE) and vapour pressure deficit (VPD) dependencies compared to observations. Shortcomings in the forcing data may also play a role. These results indicate that more research is needed on the LUE and VPD functions for Mediterranean and sub-tropical biomes. Finally, this study highlights the importance of correctly representing phenology (i.e. leaf area evolution) and management (i.e. rotation-irrigation for cropland, and grazing-harvesting for grassland) to simulate the carbon dynamics of European ecosystems and the importance of ecosystem-level observations in model development and validation.</description><subject>Comparative analysis</subject><subject>Environmental aspects</subject><subject>Environmental Sciences</subject><subject>Global Changes</subject><subject>Plant evolution</subject><subject>Terrestrial ecosystems</subject><issn>1726-4189</issn><issn>1726-4170</issn><issn>1726-4189</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkk-L2zAQxU1podttz70KetqDdzWWLNnHENJuIFDon7OQ5LHXqWO5kpzdfIl-5spNaRsoAml4-r0HM0yWvQV6W0LN70yXA-SFEOmiwJ9lVyALkXOo6uf_1C-zVyHsKWUVrcqr7MfmqIdZx37sSHxAMrmIY-z1QFxLBu07zIPVA5LQH-YhcW4MJDoyeWx6G4nV3riRtMP8hGHxRPQeQ_RLBFoXTiHiIf0c0RNNNrN3E-qRbJrmRNbuqBM4WiQjxkfnv73OXrR6CPjm93udfX2_-bK-z3cfP2zXq11uS4CYN0ArLlsuqJa8oEYaEIZVBkpKbSNZJasCTW1rMKWkzBpZYyPaRhQtB8GQXWfbc27j9F5Nvj9of1JO9-qX4HyntI-9HVBVrdV1axltBHAJrEYhRVMg5UgRTZmybs5ZD3q4iLpf7dSi0UIwVkt6hMS-O7OTd9_nNCe1d7MfU6sKSsZ4UQHIv1SXJq_6sXXRa3vog1UrXgGHumQLdfsfKp0GD711I7Z90i8MNxeGxER8ip2eQ1Dbz58u2bsza70LwWP7pzOgatk3ZToFoJZ9U8u-sZ8ZEccf</recordid><startdate>20140520</startdate><enddate>20140520</enddate><creator>Balzarolo, M</creator><creator>Boussetta, S</creator><creator>Balsamo, G</creator><creator>Beljaars, A</creator><creator>Maignan, F</creator><creator>Calvet, J.-C</creator><creator>Lafont, S</creator><creator>Barbu, A</creator><creator>Poulter, B</creator><creator>Chevallier, F</creator><creator>Szczypta, C</creator><creator>Papale, D</creator><general>Copernicus GmbH</general><general>European Geosciences Union</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7QO</scope><scope>7SN</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>FR3</scope><scope>GNUQQ</scope><scope>H95</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>L6V</scope><scope>LK8</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>P64</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>1XC</scope><scope>VOOES</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0001-6425-6492</orcidid><orcidid>https://orcid.org/0000-0001-5170-8648</orcidid><orcidid>https://orcid.org/0000-0002-1745-3634</orcidid><orcidid>https://orcid.org/0000-0001-8646-8701</orcidid><orcidid>https://orcid.org/0000-0002-9493-8600</orcidid><orcidid>https://orcid.org/0000-0002-4327-3813</orcidid><orcidid>https://orcid.org/0000-0002-9605-8092</orcidid><orcidid>https://orcid.org/0000-0001-5024-5928</orcidid></search><sort><creationdate>20140520</creationdate><title>Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network</title><author>Balzarolo, M ; Boussetta, S ; Balsamo, G ; Beljaars, A ; Maignan, F ; Calvet, J.-C ; Lafont, S ; Barbu, A ; Poulter, B ; Chevallier, F ; Szczypta, C ; Papale, D</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Comparative analysis</topic><topic>Environmental aspects</topic><topic>Environmental Sciences</topic><topic>Global Changes</topic><topic>Plant evolution</topic><topic>Terrestrial ecosystems</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Balzarolo, M</creatorcontrib><creatorcontrib>Boussetta, S</creatorcontrib><creatorcontrib>Balsamo, G</creatorcontrib><creatorcontrib>Beljaars, A</creatorcontrib><creatorcontrib>Maignan, F</creatorcontrib><creatorcontrib>Calvet, J.-C</creatorcontrib><creatorcontrib>Lafont, S</creatorcontrib><creatorcontrib>Barbu, A</creatorcontrib><creatorcontrib>Poulter, B</creatorcontrib><creatorcontrib>Chevallier, F</creatorcontrib><creatorcontrib>Szczypta, C</creatorcontrib><creatorcontrib>Papale, D</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Biotechnology Research Abstracts</collection><collection>Ecology Abstracts</collection><collection>Meteorological &amp; Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Materials Science &amp; Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural &amp; Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric &amp; Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>Engineering Research Database</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 1: Biological Sciences &amp; Living Resources</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy &amp; Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological &amp; Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science &amp; Fisheries Abstracts (ASFA) Professional</collection><collection>ProQuest Engineering Collection</collection><collection>ProQuest Biological Science Collection</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biological Science Database</collection><collection>Engineering Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric &amp; Aquatic Science Database</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>Engineering Collection</collection><collection>Environmental Science Collection</collection><collection>Hyper Article en Ligne (HAL)</collection><collection>Hyper Article en Ligne (HAL) (Open Access)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Biogeosciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Balzarolo, M</au><au>Boussetta, S</au><au>Balsamo, G</au><au>Beljaars, A</au><au>Maignan, F</au><au>Calvet, J.-C</au><au>Lafont, S</au><au>Barbu, A</au><au>Poulter, B</au><au>Chevallier, F</au><au>Szczypta, C</au><au>Papale, D</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network</atitle><jtitle>Biogeosciences</jtitle><date>2014-05-20</date><risdate>2014</risdate><volume>11</volume><issue>10</issue><spage>2661</spage><epage>2678</epage><pages>2661-2678</pages><issn>1726-4189</issn><issn>1726-4170</issn><eissn>1726-4189</eissn><abstract>This paper reports a comparison between large-scale simulations of three different land surface models (LSMs), ORCHIDEE, ISBA-A-gs and CTESSEL, forced with the same meteorological data, and compared with the carbon fluxes measured at 32 eddy covariance (EC) flux tower sites in Europe. The results show that the three simulations have the best performance for forest sites and the poorest performance for cropland and grassland sites. In addition, the three simulations have difficulties capturing the seasonality of Mediterranean and sub-tropical biomes, characterized by dry summers. This reduced simulation performance is also reflected in deficiencies in diagnosed light-use efficiency (LUE) and vapour pressure deficit (VPD) dependencies compared to observations. Shortcomings in the forcing data may also play a role. These results indicate that more research is needed on the LUE and VPD functions for Mediterranean and sub-tropical biomes. Finally, this study highlights the importance of correctly representing phenology (i.e. leaf area evolution) and management (i.e. rotation-irrigation for cropland, and grazing-harvesting for grassland) to simulate the carbon dynamics of European ecosystems and the importance of ecosystem-level observations in model development and validation.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/bg-11-2661-2014</doi><tpages>18</tpages><orcidid>https://orcid.org/0000-0001-6425-6492</orcidid><orcidid>https://orcid.org/0000-0001-5170-8648</orcidid><orcidid>https://orcid.org/0000-0002-1745-3634</orcidid><orcidid>https://orcid.org/0000-0001-8646-8701</orcidid><orcidid>https://orcid.org/0000-0002-9493-8600</orcidid><orcidid>https://orcid.org/0000-0002-4327-3813</orcidid><orcidid>https://orcid.org/0000-0002-9605-8092</orcidid><orcidid>https://orcid.org/0000-0001-5024-5928</orcidid><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1726-4189
ispartof Biogeosciences, 2014-05, Vol.11 (10), p.2661-2678
issn 1726-4189
1726-4170
1726-4189
language eng
recordid cdi_doaj_primary_oai_doaj_org_article_8fca9fc30d6147139e676d2e04e0eeb5
source Publicly Available Content Database; DOAJ Directory of Open Access Journals
subjects Comparative analysis
Environmental aspects
Environmental Sciences
Global Changes
Plant evolution
Terrestrial ecosystems
title Evaluating the potential of large-scale simulations to predict carbon fluxes of terrestrial ecosystems over a European Eddy Covariance network
url http://sfxeu10.hosted.exlibrisgroup.com/loughborough?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-07T08%3A17%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_doaj_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Evaluating%20the%20potential%20of%20large-scale%20simulations%20to%20predict%20carbon%20fluxes%20of%20terrestrial%20ecosystems%20over%20a%20European%20Eddy%20Covariance%20network&rft.jtitle=Biogeosciences&rft.au=Balzarolo,%20M&rft.date=2014-05-20&rft.volume=11&rft.issue=10&rft.spage=2661&rft.epage=2678&rft.pages=2661-2678&rft.issn=1726-4189&rft.eissn=1726-4189&rft_id=info:doi/10.5194/bg-11-2661-2014&rft_dat=%3Cgale_doaj_%3EA481419537%3C/gale_doaj_%3E%3Cgrp_id%3Ecdi_FETCH-LOGICAL-c511t-d10847f460a7420b7b16b38b1500cd738782eb9c91b5703cb79ed6fd62f4163e3%3C/grp_id%3E%3Coa%3E%3C/oa%3E%3Curl%3E%3C/url%3E&rft_id=info:oai/&rft_pqid=1533428117&rft_id=info:pmid/&rft_galeid=A481419537&rfr_iscdi=true