Misdiagnosis of Earth climate sensitivity based on energy balance model results
Monckton of Brenchley et al. (Sci Bull 60:122–135, 2015) (hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not va...
Gespeichert in:
Veröffentlicht in: | Science bulletin (Beijing) 2015-08, Vol.60 (15), p.1370-1377 |
---|---|
Hauptverfasser: | , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1377 |
---|---|
container_issue | 15 |
container_start_page | 1370 |
container_title | Science bulletin (Beijing) |
container_volume | 60 |
creator | Richardson, Mark Hausfather, Zeke Nuccitelli, Dana A. Rice, Ken Abraham, John P. |
description | Monckton of Brenchley et al. (Sci Bull 60:122–135, 2015) (hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not validate their model against observations, but instead created synthetic test data based on subjective assumptions. We show that M15 systematically underestimate warming: since 1990, most years were warmer than their modelled upper limit. During 2000–2010, RMS error and bias are approximately 150% and 350% larger than for the CMIP5 median, using either the Berkeley Earth or Cowtan and Way surface temperature data. We show that this poor performance can be explained by a logical flaw in the parameter selection and that selected parameters contradict observational estimates. M15 also conclude that climate has a near-instantaneous response to forcing, implying no net energy imbalance for the Earth. This contributes to their low estimates of future warming and is falsified by Argo float measurements that show continued ocean heating and therefore a sustained energy imbalance. M15’s estimates of climate response and future global warming are not consistent with measurements and so cannot be considered credible. |
doi_str_mv | 10.1007/s11434-015-0806-z |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_1800453263</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S2095927316303577</els_id><sourcerecordid>1717497683</sourcerecordid><originalsourceid>FETCH-LOGICAL-c430t-b27f636b711e20f73faaa2eca1ee6e88c1bf76f2ef9b8fd0652c340bde23f88d3</originalsourceid><addsrcrecordid>eNqFkcFO3DAQhiNUJBDwAJzwsZe0YzuxHfVUrba0EtUeCmfLccaLUTamniwSPD1epepxOXksff-v8eequubwhQPor8R5I5saeFuDAVW_nVTnArq27oThn_7PWp5VV0RPAMCbTjSgz6vN70hDdNspUSSWAlu7PD8yP8adm5ERThTn-BLnV9Y7woGlieGEeXu4j27yyHZpwJFlpP0402V1GtxIePXvvKgefqzvVz_ru83tr9X3u9o3Eua6FzooqXrNOQoIWgbnnEDvOKJCYzzvg1ZBYOh6EwZQrfCygX5AIYMxg7yoPi-9zzn93SPNdhfJ41hWwrQnyw1A00qh5Meo5rrptDIHlC-oz4koY7DPuYjIr5aDPai2i2pbVNuDavtWMmLJUGGnLWb7lPZ5Ko8_GrpZQsEl67Y5kn34I4Cr8jemNbItxLeFwGLxJZZa8hGL7yFm9LMdUjzS_w7L7p8E</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1717497683</pqid></control><display><type>article</type><title>Misdiagnosis of Earth climate sensitivity based on energy balance model results</title><source>Alma/SFX Local Collection</source><creator>Richardson, Mark ; Hausfather, Zeke ; Nuccitelli, Dana A. ; Rice, Ken ; Abraham, John P.</creator><creatorcontrib>Richardson, Mark ; Hausfather, Zeke ; Nuccitelli, Dana A. ; Rice, Ken ; Abraham, John P.</creatorcontrib><description>Monckton of Brenchley et al. (Sci Bull 60:122–135, 2015) (hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not validate their model against observations, but instead created synthetic test data based on subjective assumptions. We show that M15 systematically underestimate warming: since 1990, most years were warmer than their modelled upper limit. During 2000–2010, RMS error and bias are approximately 150% and 350% larger than for the CMIP5 median, using either the Berkeley Earth or Cowtan and Way surface temperature data. We show that this poor performance can be explained by a logical flaw in the parameter selection and that selected parameters contradict observational estimates. M15 also conclude that climate has a near-instantaneous response to forcing, implying no net energy imbalance for the Earth. This contributes to their low estimates of future warming and is falsified by Argo float measurements that show continued ocean heating and therefore a sustained energy imbalance. M15’s estimates of climate response and future global warming are not consistent with measurements and so cannot be considered credible.</description><identifier>ISSN: 2095-9273</identifier><identifier>EISSN: 2095-9281</identifier><identifier>DOI: 10.1007/s11434-015-0806-z</identifier><language>eng</language><publisher>Beijing: Elsevier B.V</publisher><subject>Balancing ; Chemistry/Food Science ; Climate ; Climate change ; Climate feedback ; Climate model ; Climate sensitivity ; Correspondence ; Earth ; Earth Sciences ; energy balance ; Engineering ; Estimates ; Global warming ; heat ; Humanities and Social Sciences ; Life Sciences ; Mathematical models ; model validation ; multidisciplinary ; Oceans ; Physics ; Science ; Science (multidisciplinary) ; Semantics ; surface temperature</subject><ispartof>Science bulletin (Beijing), 2015-08, Vol.60 (15), p.1370-1377</ispartof><rights>2015 Science China Press</rights><rights>Science China Press and Springer-Verlag Berlin Heidelberg 2015</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c430t-b27f636b711e20f73faaa2eca1ee6e88c1bf76f2ef9b8fd0652c340bde23f88d3</citedby><cites>FETCH-LOGICAL-c430t-b27f636b711e20f73faaa2eca1ee6e88c1bf76f2ef9b8fd0652c340bde23f88d3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Richardson, Mark</creatorcontrib><creatorcontrib>Hausfather, Zeke</creatorcontrib><creatorcontrib>Nuccitelli, Dana A.</creatorcontrib><creatorcontrib>Rice, Ken</creatorcontrib><creatorcontrib>Abraham, John P.</creatorcontrib><title>Misdiagnosis of Earth climate sensitivity based on energy balance model results</title><title>Science bulletin (Beijing)</title><addtitle>Sci. Bull</addtitle><description>Monckton of Brenchley et al. (Sci Bull 60:122–135, 2015) (hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not validate their model against observations, but instead created synthetic test data based on subjective assumptions. We show that M15 systematically underestimate warming: since 1990, most years were warmer than their modelled upper limit. During 2000–2010, RMS error and bias are approximately 150% and 350% larger than for the CMIP5 median, using either the Berkeley Earth or Cowtan and Way surface temperature data. We show that this poor performance can be explained by a logical flaw in the parameter selection and that selected parameters contradict observational estimates. M15 also conclude that climate has a near-instantaneous response to forcing, implying no net energy imbalance for the Earth. This contributes to their low estimates of future warming and is falsified by Argo float measurements that show continued ocean heating and therefore a sustained energy imbalance. M15’s estimates of climate response and future global warming are not consistent with measurements and so cannot be considered credible.</description><subject>Balancing</subject><subject>Chemistry/Food Science</subject><subject>Climate</subject><subject>Climate change</subject><subject>Climate feedback</subject><subject>Climate model</subject><subject>Climate sensitivity</subject><subject>Correspondence</subject><subject>Earth</subject><subject>Earth Sciences</subject><subject>energy balance</subject><subject>Engineering</subject><subject>Estimates</subject><subject>Global warming</subject><subject>heat</subject><subject>Humanities and Social Sciences</subject><subject>Life Sciences</subject><subject>Mathematical models</subject><subject>model validation</subject><subject>multidisciplinary</subject><subject>Oceans</subject><subject>Physics</subject><subject>Science</subject><subject>Science (multidisciplinary)</subject><subject>Semantics</subject><subject>surface temperature</subject><issn>2095-9273</issn><issn>2095-9281</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2015</creationdate><recordtype>article</recordtype><recordid>eNqFkcFO3DAQhiNUJBDwAJzwsZe0YzuxHfVUrba0EtUeCmfLccaLUTamniwSPD1epepxOXksff-v8eequubwhQPor8R5I5saeFuDAVW_nVTnArq27oThn_7PWp5VV0RPAMCbTjSgz6vN70hDdNspUSSWAlu7PD8yP8adm5ERThTn-BLnV9Y7woGlieGEeXu4j27yyHZpwJFlpP0402V1GtxIePXvvKgefqzvVz_ru83tr9X3u9o3Eua6FzooqXrNOQoIWgbnnEDvOKJCYzzvg1ZBYOh6EwZQrfCygX5AIYMxg7yoPi-9zzn93SPNdhfJ41hWwrQnyw1A00qh5Meo5rrptDIHlC-oz4koY7DPuYjIr5aDPai2i2pbVNuDavtWMmLJUGGnLWb7lPZ5Ko8_GrpZQsEl67Y5kn34I4Cr8jemNbItxLeFwGLxJZZa8hGL7yFm9LMdUjzS_w7L7p8E</recordid><startdate>20150801</startdate><enddate>20150801</enddate><creator>Richardson, Mark</creator><creator>Hausfather, Zeke</creator><creator>Nuccitelli, Dana A.</creator><creator>Rice, Ken</creator><creator>Abraham, John P.</creator><general>Elsevier B.V</general><general>Science China Press</general><scope>FBQ</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7ST</scope><scope>7TG</scope><scope>7U6</scope><scope>C1K</scope><scope>KL.</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7SU</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>20150801</creationdate><title>Misdiagnosis of Earth climate sensitivity based on energy balance model results</title><author>Richardson, Mark ; Hausfather, Zeke ; Nuccitelli, Dana A. ; Rice, Ken ; Abraham, John P.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c430t-b27f636b711e20f73faaa2eca1ee6e88c1bf76f2ef9b8fd0652c340bde23f88d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2015</creationdate><topic>Balancing</topic><topic>Chemistry/Food Science</topic><topic>Climate</topic><topic>Climate change</topic><topic>Climate feedback</topic><topic>Climate model</topic><topic>Climate sensitivity</topic><topic>Correspondence</topic><topic>Earth</topic><topic>Earth Sciences</topic><topic>energy balance</topic><topic>Engineering</topic><topic>Estimates</topic><topic>Global warming</topic><topic>heat</topic><topic>Humanities and Social Sciences</topic><topic>Life Sciences</topic><topic>Mathematical models</topic><topic>model validation</topic><topic>multidisciplinary</topic><topic>Oceans</topic><topic>Physics</topic><topic>Science</topic><topic>Science (multidisciplinary)</topic><topic>Semantics</topic><topic>surface temperature</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Richardson, Mark</creatorcontrib><creatorcontrib>Hausfather, Zeke</creatorcontrib><creatorcontrib>Nuccitelli, Dana A.</creatorcontrib><creatorcontrib>Rice, Ken</creatorcontrib><creatorcontrib>Abraham, John P.</creatorcontrib><collection>AGRIS</collection><collection>CrossRef</collection><collection>Environment Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Sustainability Science Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Environmental Engineering Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Science bulletin (Beijing)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Richardson, Mark</au><au>Hausfather, Zeke</au><au>Nuccitelli, Dana A.</au><au>Rice, Ken</au><au>Abraham, John P.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Misdiagnosis of Earth climate sensitivity based on energy balance model results</atitle><jtitle>Science bulletin (Beijing)</jtitle><stitle>Sci. Bull</stitle><date>2015-08-01</date><risdate>2015</risdate><volume>60</volume><issue>15</issue><spage>1370</spage><epage>1377</epage><pages>1370-1377</pages><issn>2095-9273</issn><eissn>2095-9281</eissn><abstract>Monckton of Brenchley et al. (Sci Bull 60:122–135, 2015) (hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not validate their model against observations, but instead created synthetic test data based on subjective assumptions. We show that M15 systematically underestimate warming: since 1990, most years were warmer than their modelled upper limit. During 2000–2010, RMS error and bias are approximately 150% and 350% larger than for the CMIP5 median, using either the Berkeley Earth or Cowtan and Way surface temperature data. We show that this poor performance can be explained by a logical flaw in the parameter selection and that selected parameters contradict observational estimates. M15 also conclude that climate has a near-instantaneous response to forcing, implying no net energy imbalance for the Earth. This contributes to their low estimates of future warming and is falsified by Argo float measurements that show continued ocean heating and therefore a sustained energy imbalance. M15’s estimates of climate response and future global warming are not consistent with measurements and so cannot be considered credible.</abstract><cop>Beijing</cop><pub>Elsevier B.V</pub><doi>10.1007/s11434-015-0806-z</doi><tpages>8</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2095-9273 |
ispartof | Science bulletin (Beijing), 2015-08, Vol.60 (15), p.1370-1377 |
issn | 2095-9273 2095-9281 |
language | eng |
recordid | cdi_proquest_miscellaneous_1800453263 |
source | Alma/SFX Local Collection |
subjects | Balancing Chemistry/Food Science Climate Climate change Climate feedback Climate model Climate sensitivity Correspondence Earth Earth Sciences energy balance Engineering Estimates Global warming heat Humanities and Social Sciences Life Sciences Mathematical models model validation multidisciplinary Oceans Physics Science Science (multidisciplinary) Semantics surface temperature |
title | Misdiagnosis of Earth climate sensitivity based on energy balance model results |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-24T17%3A34%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Misdiagnosis%20of%20Earth%20climate%20sensitivity%20based%20on%20energy%20balance%20model%20results&rft.jtitle=Science%20bulletin%20(Beijing)&rft.au=Richardson,%20Mark&rft.date=2015-08-01&rft.volume=60&rft.issue=15&rft.spage=1370&rft.epage=1377&rft.pages=1370-1377&rft.issn=2095-9273&rft.eissn=2095-9281&rft_id=info:doi/10.1007/s11434-015-0806-z&rft_dat=%3Cproquest_cross%3E1717497683%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1717497683&rft_id=info:pmid/&rft_els_id=S2095927316303577&rfr_iscdi=true |