Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed
Previous studies using the Community Land Model (CLM) focused on simulating land‐atmosphere interactions and water balance on continental to global scales, with limited attention paid to its capability for hydrologic simulations at watershed or regional scales. This study evaluates the performance o...
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creator | Li, Hongyi Huang, Maoyi Wigmosta, Mark S. Ke, Yinghai Coleman, André M. Leung, L. Ruby Wang, Aihui Ricciuto, Daniel M. |
description | Previous studies using the Community Land Model (CLM) focused on simulating land‐atmosphere interactions and water balance on continental to global scales, with limited attention paid to its capability for hydrologic simulations at watershed or regional scales. This study evaluates the performance of CLM 4.0 (CLM4) for hydrologic simulations and explores possible directions of improvement. Specifically, it is found that CLM4 tends to produce unrealistically large temporal variations of runoff for applications at a mountainous catchment in the northwest United States, where subsurface runoff is dominant, as well as at a few flux tower sites spanning a wide range of climate and site conditions in the United States. Runoff simulations from CLM4 can be improved by (1) increasing spatial resolution of the land surface representations and (2) calibrating model parameter values. We also demonstrate that runoff simulations may be improved by implementing alternative runoff generation schemes such as those from the variable infiltration capacity (VIC) model or the TOPMODEL formulations with a more general power law‐based transmissivity profile, which will be explored in future studies. This study also highlights the importance of evaluating both energy and water fluxes in the application of land surface models across multiple scales.
Key Points
Streamflow simulations from CLM4 were evaluated against observations
We identified potential ways to improve streamflow simulations from CLM4
It is important to evaluate both streamflow and energy fluxes from land models |
doi_str_mv | 10.1029/2011JD016276 |
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Key Points
Streamflow simulations from CLM4 were evaluated against observations
We identified potential ways to improve streamflow simulations from CLM4
It is important to evaluate both streamflow and energy fluxes from land models</description><identifier>ISSN: 0148-0227</identifier><identifier>ISSN: 2169-897X</identifier><identifier>EISSN: 2156-2202</identifier><identifier>EISSN: 2169-8996</identifier><identifier>DOI: 10.1029/2011JD016276</identifier><language>eng</language><publisher>Washington, DC: Blackwell Publishing Ltd</publisher><subject>Atmosphere ; CAPACITY ; Climate change ; Community Land Model ; Earth ; Earth sciences ; Earth, ocean, space ; Exact sciences and technology ; Geophysics ; GEOSCIENCES ; Hydrology ; Infiltration capacity ; Land ; Mountains ; RUNOFF ; runoff simulations ; SPATIAL RESOLUTION ; Stream flow ; Transmissivity ; WATER ; Water balance ; WATERSHEDS</subject><ispartof>Journal of Geophysical Research. D. (Atmospheres), 116:Article No. D24120, 2011-12, Vol.116 (D24), p.n/a</ispartof><rights>This paper is not subject to U.S. copyright. Published in 2011 by the American Geophysical Union</rights><rights>2015 INIST-CNRS</rights><rights>This paper is not subject to U.S. copyright. Published in 2011 by American Geophysical Union</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4458-95ffcfd7d0825427bcb2610fccb0b86409f2721cf476eb71e4ecb280f3b4908f3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1029%2F2011JD016276$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1029%2F2011JD016276$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>314,780,784,885,1417,1433,11514,27924,27925,45574,45575,46409,46468,46833,46892</link.rule.ids><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=25429178$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.osti.gov/biblio/1032682$$D View this record in Osti.gov$$Hfree_for_read</backlink></links><search><creatorcontrib>Li, Hongyi</creatorcontrib><creatorcontrib>Huang, Maoyi</creatorcontrib><creatorcontrib>Wigmosta, Mark S.</creatorcontrib><creatorcontrib>Ke, Yinghai</creatorcontrib><creatorcontrib>Coleman, André M.</creatorcontrib><creatorcontrib>Leung, L. Ruby</creatorcontrib><creatorcontrib>Wang, Aihui</creatorcontrib><creatorcontrib>Ricciuto, Daniel M.</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</creatorcontrib><title>Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed</title><title>Journal of Geophysical Research. D. (Atmospheres), 116:Article No. D24120</title><addtitle>J. Geophys. Res</addtitle><description>Previous studies using the Community Land Model (CLM) focused on simulating land‐atmosphere interactions and water balance on continental to global scales, with limited attention paid to its capability for hydrologic simulations at watershed or regional scales. This study evaluates the performance of CLM 4.0 (CLM4) for hydrologic simulations and explores possible directions of improvement. Specifically, it is found that CLM4 tends to produce unrealistically large temporal variations of runoff for applications at a mountainous catchment in the northwest United States, where subsurface runoff is dominant, as well as at a few flux tower sites spanning a wide range of climate and site conditions in the United States. Runoff simulations from CLM4 can be improved by (1) increasing spatial resolution of the land surface representations and (2) calibrating model parameter values. We also demonstrate that runoff simulations may be improved by implementing alternative runoff generation schemes such as those from the variable infiltration capacity (VIC) model or the TOPMODEL formulations with a more general power law‐based transmissivity profile, which will be explored in future studies. This study also highlights the importance of evaluating both energy and water fluxes in the application of land surface models across multiple scales.
Key Points
Streamflow simulations from CLM4 were evaluated against observations
We identified potential ways to improve streamflow simulations from CLM4
It is important to evaluate both streamflow and energy fluxes from land models</description><subject>Atmosphere</subject><subject>CAPACITY</subject><subject>Climate change</subject><subject>Community Land Model</subject><subject>Earth</subject><subject>Earth sciences</subject><subject>Earth, ocean, space</subject><subject>Exact sciences and technology</subject><subject>Geophysics</subject><subject>GEOSCIENCES</subject><subject>Hydrology</subject><subject>Infiltration capacity</subject><subject>Land</subject><subject>Mountains</subject><subject>RUNOFF</subject><subject>runoff simulations</subject><subject>SPATIAL RESOLUTION</subject><subject>Stream flow</subject><subject>Transmissivity</subject><subject>WATER</subject><subject>Water balance</subject><subject>WATERSHEDS</subject><issn>0148-0227</issn><issn>2169-897X</issn><issn>2156-2202</issn><issn>2169-8996</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2011</creationdate><recordtype>article</recordtype><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNpNkU1v1DAQQC0EEqvSGz_AQuKYMnacODmi3bKlLFBVVO3NchybdUns1h_d7om_TqKtSucy0sx7oxkNQu8JnBCg7ScKhJyvgNSU16_QgpKqLigF-hotgLCmAEr5W3Qc4y1MwaqaAVmgv6cPcsgyWfcbh-y8MTjaMQ9TxbuITfAjTluNl34cs7NpjzfS9fi77_WA2QngHGfVd1GHh5eSGfIjTn6nQ8SzIfHos0vSOp8j3sk0Nba6f4feGDlEffyUj9DVl9Nfy7Ni83P9dfl5UyjGqqZoK2OU6XkPDa0Y5Z3qaE3AKNVB10yntIZySpRhvNYdJ5rpiWjAlB1roTHlEfpwmOtjsiIqm7TaKu-cVkkQKGnd0P_QXfD3Wcckbn0ObtpLtKQkbc2qcoI-PkEyKjmYIJ2yUdwFO8qwF_N6LeHNxJUHbmcHvX_uExDzu8TLd4nz9eWKcAazVRwsG5N-fLZk-CNqXvJKXP9YC7JcnV3c3HwTrPwHoRaZHw</recordid><startdate>20111227</startdate><enddate>20111227</enddate><creator>Li, Hongyi</creator><creator>Huang, Maoyi</creator><creator>Wigmosta, Mark S.</creator><creator>Ke, Yinghai</creator><creator>Coleman, André M.</creator><creator>Leung, L. Ruby</creator><creator>Wang, Aihui</creator><creator>Ricciuto, Daniel M.</creator><general>Blackwell Publishing Ltd</general><general>American Geophysical Union</general><scope>BSCLL</scope><scope>IQODW</scope><scope>3V.</scope><scope>7TG</scope><scope>7UA</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</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>GUQSH</scope><scope>H8D</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>KR7</scope><scope>L.G</scope><scope>L6V</scope><scope>L7M</scope><scope>M2O</scope><scope>M7S</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>OTOTI</scope></search><sort><creationdate>20111227</creationdate><title>Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed</title><author>Li, Hongyi ; Huang, Maoyi ; Wigmosta, Mark S. ; Ke, Yinghai ; Coleman, André M. ; Leung, L. Ruby ; Wang, Aihui ; Ricciuto, Daniel M.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4458-95ffcfd7d0825427bcb2610fccb0b86409f2721cf476eb71e4ecb280f3b4908f3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2011</creationdate><topic>Atmosphere</topic><topic>CAPACITY</topic><topic>Climate change</topic><topic>Community Land Model</topic><topic>Earth</topic><topic>Earth sciences</topic><topic>Earth, ocean, space</topic><topic>Exact sciences and technology</topic><topic>Geophysics</topic><topic>GEOSCIENCES</topic><topic>Hydrology</topic><topic>Infiltration capacity</topic><topic>Land</topic><topic>Mountains</topic><topic>RUNOFF</topic><topic>runoff simulations</topic><topic>SPATIAL RESOLUTION</topic><topic>Stream flow</topic><topic>Transmissivity</topic><topic>WATER</topic><topic>Water balance</topic><topic>WATERSHEDS</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Li, Hongyi</creatorcontrib><creatorcontrib>Huang, Maoyi</creatorcontrib><creatorcontrib>Wigmosta, Mark S.</creatorcontrib><creatorcontrib>Ke, Yinghai</creatorcontrib><creatorcontrib>Coleman, André M.</creatorcontrib><creatorcontrib>Leung, L. Ruby</creatorcontrib><creatorcontrib>Wang, Aihui</creatorcontrib><creatorcontrib>Ricciuto, Daniel M.</creatorcontrib><creatorcontrib>Pacific Northwest National Lab. 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D. (Atmospheres), 116:Article No. D24120</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Li, Hongyi</au><au>Huang, Maoyi</au><au>Wigmosta, Mark S.</au><au>Ke, Yinghai</au><au>Coleman, André M.</au><au>Leung, L. Ruby</au><au>Wang, Aihui</au><au>Ricciuto, Daniel M.</au><aucorp>Pacific Northwest National Lab. (PNNL), Richland, WA (United States)</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed</atitle><jtitle>Journal of Geophysical Research. D. (Atmospheres), 116:Article No. D24120</jtitle><addtitle>J. Geophys. Res</addtitle><date>2011-12-27</date><risdate>2011</risdate><volume>116</volume><issue>D24</issue><epage>n/a</epage><issn>0148-0227</issn><issn>2169-897X</issn><eissn>2156-2202</eissn><eissn>2169-8996</eissn><abstract>Previous studies using the Community Land Model (CLM) focused on simulating land‐atmosphere interactions and water balance on continental to global scales, with limited attention paid to its capability for hydrologic simulations at watershed or regional scales. This study evaluates the performance of CLM 4.0 (CLM4) for hydrologic simulations and explores possible directions of improvement. Specifically, it is found that CLM4 tends to produce unrealistically large temporal variations of runoff for applications at a mountainous catchment in the northwest United States, where subsurface runoff is dominant, as well as at a few flux tower sites spanning a wide range of climate and site conditions in the United States. Runoff simulations from CLM4 can be improved by (1) increasing spatial resolution of the land surface representations and (2) calibrating model parameter values. We also demonstrate that runoff simulations may be improved by implementing alternative runoff generation schemes such as those from the variable infiltration capacity (VIC) model or the TOPMODEL formulations with a more general power law‐based transmissivity profile, which will be explored in future studies. This study also highlights the importance of evaluating both energy and water fluxes in the application of land surface models across multiple scales.
Key Points
Streamflow simulations from CLM4 were evaluated against observations
We identified potential ways to improve streamflow simulations from CLM4
It is important to evaluate both streamflow and energy fluxes from land models</abstract><cop>Washington, DC</cop><pub>Blackwell Publishing Ltd</pub><doi>10.1029/2011JD016276</doi><tpages>19</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Atmosphere CAPACITY Climate change Community Land Model Earth Earth sciences Earth, ocean, space Exact sciences and technology Geophysics GEOSCIENCES Hydrology Infiltration capacity Land Mountains RUNOFF runoff simulations SPATIAL RESOLUTION Stream flow Transmissivity WATER Water balance WATERSHEDS |
title | Evaluating runoff simulations from the Community Land Model 4.0 using observations from flux towers and a mountainous watershed |
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