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The ERA5-Land soil temperature bias in permafrost regions
ERA5-Land (ERA5L) is a reanalysis product derived by running the land component of ERA5 at increased resolution. This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Ca...
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Published in: | The cryosphere 2020-08, Vol.14 (8), p.2581-2595 |
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description | ERA5-Land (ERA5L) is a reanalysis product derived by running the land component of ERA5 at increased resolution. This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Canada and Alaska but underestimates it in mid–low latitudes, leading to an average bias of −0.08 ∘C. The warm bias of ERA5L soil is stronger in winter than in other seasons. As calculated from its soil temperature, ERA5L overestimates active-layer thickness and underestimates near-surface ( |
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This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Canada and Alaska but underestimates it in mid–low latitudes, leading to an average bias of −0.08 ∘C. The warm bias of ERA5L soil is stronger in winter than in other seasons. As calculated from its soil temperature, ERA5L overestimates active-layer thickness and underestimates near-surface (<1.89 m) permafrost area. This is thought to be due in part to the shallow soil column and coarse vertical discretization of the land surface model and to warmer simulated soil. The soil temperature bias in permafrost regions correlates well with the bias in air temperature and with maximum snow height. A review of the ERA5L snow parameterization and a simulation example both point to a low bias in ERA5L snow density as a possible cause for the warm bias in soil temperature. The apparent disagreement of station-based and areal evaluation techniques highlights challenges in our ability to test permafrost simulation models. While global reanalyses are important drivers for permafrost simulation, we conclude that ERA5L soil data are not well suited for informing permafrost research and decision making directly. To address this, future soil temperature products in reanalyses will require permafrost-specific alterations to their land surface models.</description><identifier>ISSN: 1994-0424</identifier><identifier>ISSN: 1994-0416</identifier><identifier>EISSN: 1994-0424</identifier><identifier>EISSN: 1994-0416</identifier><identifier>DOI: 10.5194/tc-14-2581-2020</identifier><language>eng</language><publisher>Katlenburg-Lindau: Copernicus GmbH</publisher><subject>Air temperature ; Bias ; Computer simulation ; Decision making ; Heat conductivity ; Hydrology ; Ice ; Land surface models ; Parameterization ; Permafrost ; Regions ; Simulation ; Snow ; Snow density ; Soil ; Soil temperature ; Soils ; Temperature ; Temperature requirements ; Thickness ; Time series</subject><ispartof>The cryosphere, 2020-08, Vol.14 (8), p.2581-2595</ispartof><rights>COPYRIGHT 2020 Copernicus GmbH</rights><rights>2020. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-a500t-d82b293b6a3c4dc7a7a9e6c91ca6ef7316df0bd3129b90b94701a6dee1b90dd83</citedby><cites>FETCH-LOGICAL-a500t-d82b293b6a3c4dc7a7a9e6c91ca6ef7316df0bd3129b90b94701a6dee1b90dd83</cites><orcidid>0000-0003-2473-2276 ; 0000-0003-1151-3381 ; 0000-0002-1079-1542</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.proquest.com/docview/2432828381/fulltextPDF?pq-origsite=primo$$EPDF$$P50$$Gproquest$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.proquest.com/docview/2432828381?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>314,776,780,25732,27903,27904,36991,44569,74872</link.rule.ids></links><search><creatorcontrib>Cao, Bin</creatorcontrib><creatorcontrib>Gruber, Stephan</creatorcontrib><creatorcontrib>Zheng, Donghai</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><title>The ERA5-Land soil temperature bias in permafrost regions</title><title>The cryosphere</title><description>ERA5-Land (ERA5L) is a reanalysis product derived by running the land component of ERA5 at increased resolution. This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Canada and Alaska but underestimates it in mid–low latitudes, leading to an average bias of −0.08 ∘C. The warm bias of ERA5L soil is stronger in winter than in other seasons. As calculated from its soil temperature, ERA5L overestimates active-layer thickness and underestimates near-surface (<1.89 m) permafrost area. This is thought to be due in part to the shallow soil column and coarse vertical discretization of the land surface model and to warmer simulated soil. The soil temperature bias in permafrost regions correlates well with the bias in air temperature and with maximum snow height. A review of the ERA5L snow parameterization and a simulation example both point to a low bias in ERA5L snow density as a possible cause for the warm bias in soil temperature. The apparent disagreement of station-based and areal evaluation techniques highlights challenges in our ability to test permafrost simulation models. While global reanalyses are important drivers for permafrost simulation, we conclude that ERA5L soil data are not well suited for informing permafrost research and decision making directly. To address this, future soil temperature products in reanalyses will require permafrost-specific alterations to their land surface models.</description><subject>Air temperature</subject><subject>Bias</subject><subject>Computer simulation</subject><subject>Decision making</subject><subject>Heat conductivity</subject><subject>Hydrology</subject><subject>Ice</subject><subject>Land surface models</subject><subject>Parameterization</subject><subject>Permafrost</subject><subject>Regions</subject><subject>Simulation</subject><subject>Snow</subject><subject>Snow density</subject><subject>Soil</subject><subject>Soil temperature</subject><subject>Soils</subject><subject>Temperature</subject><subject>Temperature requirements</subject><subject>Thickness</subject><subject>Time series</subject><issn>1994-0424</issn><issn>1994-0416</issn><issn>1994-0424</issn><issn>1994-0416</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>PIMPY</sourceid><sourceid>DOA</sourceid><recordid>eNptkc1rGzEQxZfSQFOn514XeuphkxlJK6-OJqSJwVDIx1nMSlpXxrtyJRnS_75yHNIYig6SHr95mtGrqq8Ily0qcZVNg6JhbYcNAwYfqnNUSjQgmPj47vyp-pzSBkAyBeK8Uo-_XH1zv2ibFU22TsFv6-zGnYuU99HVvadU-6kuwkhDDCnX0a19mNJFdTbQNrkvr_usevpx83h916x-3i6vF6uGWoDc2I71TPFeEjfCmjnNSTlpFBqSbphzlHaA3nJkqlfQKzEHJGmdw3K1tuOzann0tYE2ehf9SPGPDuT1ixDiWlPM3myd5qJlvDcITAxCkVGSY4-y61Ca8kBbvL4dvXYx_N67lPUm7ONU2tdMcNaxjnf4j1pTMfXTEHIkM_pk9EJyxkEAiEJd_ocqy7rRmzC5wRf9pOD7SUFhsnvOa9qnpJcP96fs1ZE15ctTdMPb4Aj6ELfORqPQh7j1IW7-F83YmC0</recordid><startdate>20200812</startdate><enddate>20200812</enddate><creator>Cao, Bin</creator><creator>Gruber, Stephan</creator><creator>Zheng, Donghai</creator><creator>Li, Xin</creator><general>Copernicus GmbH</general><general>Copernicus Publications</general><scope>AAYXX</scope><scope>CITATION</scope><scope>ISR</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BFMQW</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>H95</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>PYCSY</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2473-2276</orcidid><orcidid>https://orcid.org/0000-0003-1151-3381</orcidid><orcidid>https://orcid.org/0000-0002-1079-1542</orcidid></search><sort><creationdate>20200812</creationdate><title>The ERA5-Land soil temperature bias in permafrost regions</title><author>Cao, Bin ; Gruber, Stephan ; Zheng, Donghai ; Li, Xin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-a500t-d82b293b6a3c4dc7a7a9e6c91ca6ef7316df0bd3129b90b94701a6dee1b90dd83</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Air temperature</topic><topic>Bias</topic><topic>Computer simulation</topic><topic>Decision making</topic><topic>Heat conductivity</topic><topic>Hydrology</topic><topic>Ice</topic><topic>Land surface models</topic><topic>Parameterization</topic><topic>Permafrost</topic><topic>Regions</topic><topic>Simulation</topic><topic>Snow</topic><topic>Snow density</topic><topic>Soil</topic><topic>Soil temperature</topic><topic>Soils</topic><topic>Temperature</topic><topic>Temperature requirements</topic><topic>Thickness</topic><topic>Time series</topic><toplevel>online_resources</toplevel><creatorcontrib>Cao, Bin</creatorcontrib><creatorcontrib>Gruber, Stephan</creatorcontrib><creatorcontrib>Zheng, Donghai</creatorcontrib><creatorcontrib>Li, Xin</creatorcontrib><collection>CrossRef</collection><collection>Gale In Context: Science</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (Alumni)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Continental Europe Database</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 1: Biological Sciences & Living Resources</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>Publicly Available Content Database (Proquest) (PQ_SDU_P3)</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>Environmental Science Collection</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>The cryosphere</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Cao, Bin</au><au>Gruber, Stephan</au><au>Zheng, Donghai</au><au>Li, Xin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>The ERA5-Land soil temperature bias in permafrost regions</atitle><jtitle>The cryosphere</jtitle><date>2020-08-12</date><risdate>2020</risdate><volume>14</volume><issue>8</issue><spage>2581</spage><epage>2595</epage><pages>2581-2595</pages><issn>1994-0424</issn><issn>1994-0416</issn><eissn>1994-0424</eissn><eissn>1994-0416</eissn><abstract>ERA5-Land (ERA5L) is a reanalysis product derived by running the land component of ERA5 at increased resolution. This study evaluates ERA5L soil temperature in permafrost regions based on observations and published permafrost products. We find that ERA5L overestimates soil temperature in northern Canada and Alaska but underestimates it in mid–low latitudes, leading to an average bias of −0.08 ∘C. The warm bias of ERA5L soil is stronger in winter than in other seasons. As calculated from its soil temperature, ERA5L overestimates active-layer thickness and underestimates near-surface (<1.89 m) permafrost area. This is thought to be due in part to the shallow soil column and coarse vertical discretization of the land surface model and to warmer simulated soil. The soil temperature bias in permafrost regions correlates well with the bias in air temperature and with maximum snow height. A review of the ERA5L snow parameterization and a simulation example both point to a low bias in ERA5L snow density as a possible cause for the warm bias in soil temperature. The apparent disagreement of station-based and areal evaluation techniques highlights challenges in our ability to test permafrost simulation models. While global reanalyses are important drivers for permafrost simulation, we conclude that ERA5L soil data are not well suited for informing permafrost research and decision making directly. To address this, future soil temperature products in reanalyses will require permafrost-specific alterations to their land surface models.</abstract><cop>Katlenburg-Lindau</cop><pub>Copernicus GmbH</pub><doi>10.5194/tc-14-2581-2020</doi><tpages>15</tpages><orcidid>https://orcid.org/0000-0003-2473-2276</orcidid><orcidid>https://orcid.org/0000-0003-1151-3381</orcidid><orcidid>https://orcid.org/0000-0002-1079-1542</orcidid><oa>free_for_read</oa></addata></record> |
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subjects | Air temperature Bias Computer simulation Decision making Heat conductivity Hydrology Ice Land surface models Parameterization Permafrost Regions Simulation Snow Snow density Soil Soil temperature Soils Temperature Temperature requirements Thickness Time series |
title | The ERA5-Land soil temperature bias in permafrost regions |
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