{"id":441135,"date":"2026-04-24T04:04:51","date_gmt":"2026-04-24T11:04:51","guid":{"rendered":"https:\/\/climatescience.press\/?p=441135"},"modified":"2026-04-24T04:04:53","modified_gmt":"2026-04-24T11:04:53","slug":"why-climate-models-get-ocean-warming-patterns-wrong-they-exaggerate-greenhouse-gas-effects-on-the-hemispheres","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=441135","title":{"rendered":"Why Climate Models Get Ocean Warming Patterns Wrong: They Exaggerate Greenhouse Gas Effects on the Hemispheres"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

Climate models and ocean observations diverge primarily on the pattern of hemispheric ocean warming\u2014specifically, the interhemispheric thermal contrast (IHTC), or the difference in average sea surface temperature (SST) between the Northern and Southern Hemispheres. <\/strong><\/p>\n\n\n\n

This is not a failure of global temperature trends (models and observations align closely on overall ~1.5\u00b0C warming since ~1900), but on regional and hemispheric details that matter enormously for atmospheric circulation.<\/p>\n\n\n\n

Since 1950, CMIP6 climate models (the current generation used in IPCC assessments) simulate a positive trend in IHTC: Northern Hemisphere (NH) oceans warm faster than Southern Hemisphere (SH) oceans on average. This produces enhanced warming in parts of the North Atlantic and North Pacific in the model ensemble mean.<\/p>\n\n\n\n

Observations (from multiple SST datasets) show the opposite: a negative IHTC trend, with relatively faster warming in the SH (or less warming in the NH). The observed trend sits at roughly the 1st percentile of the model distribution\u2014meaning nearly all models get the direction and\/or magnitude wrong.<\/p>\n\n\n\n

Global-mean ocean temperatures can still align reasonably between models and observations because the hemispheric differences partially cancel out in the average. But the pattern (the contrast) matters critically for large-scale atmospheric circulation.<\/p>\n\n\n\n

2026 peer-reviewed research<\/strong> in Nature Communications<\/strong> by Chengfei H<\/strong>e and colleagues (including Amy Clement and Mark Cane) is titled exactly: “Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate.”<\/strong><\/p>\n\n\n\n

The paper demonstrates that CMIP6 climate models systematically overestimate the influence of greenhouse gases (GHGs) on recent (since ~1950) ocean temperature patterns between the Northern and Southern Hemispheres. This bias arises from an exaggerated positive wind-evaporation-sea surface temperature (WES) feedback <\/strong>in the tropics and subtropics, and it has direct consequences for projections of tropical rainfall, the position of the rain belt, and related extremes like drought and hurricanes.<\/p>\n\n\n\n

The IHTC<\/strong> is simply the average sea-surface temperature (SST) difference between the Northern Hemisphere (NH) oceans and Southern Hemisphere (SH) oceans. It is a key driver of large-scale atmospheric circulation.<\/p>\n\n\n\n

Models (CMIP6 ensemble): <\/strong>Simulate a clear positive IHTC trend<\/em>\u2014NH oceans warm faster than SH oceans. This produces enhanced warming patterns in regions like the North Atlantic and North Pacific.<\/p>\n\n\n\n

Observations<\/strong> (multiple SST datasets such as ERSSTv5, HadISST, COBE2): Show the opposite\u2014a negative IHTC trend <\/strong>(relative SH warming or NH cooling). The observed trend falls at roughly the 1st percentile<\/strong> of the model distribution.<\/p>\n\n\n\n

Global-mean ocean warming still matches reasonably well between models and observations (both show ~1.5 \u00b0C since the early 20th century), but the pattern (the hemispheric contrast) diverges sharply. Pre-industrial control runs confirm this is not just random internal variability.<\/p>\n\n\n\n

Models attribute the long-term positive IHTC trend overwhelmingly to GHGs. In reality, the trend is driven more by anthropogenic aerosols<\/strong> (mostly NH industrial emissions that reflect sunlight and cool the surface) plus natural forcings (volcanoes, solar variability).<\/p>\n\n\n\n

The mechanism in models is an amplified WES feedback<\/strong>:<\/p>\n\n\n\n

    \n
  1. GHGs cause initial warming (stronger in NH due to more land).<\/li>\n\n\n\n
  2. This weakens tropical\/subtropical trade winds.<\/li>\n\n\n\n
  3. Weaker winds reduce evaporation from the ocean surface (less cooling).<\/li>\n\n\n\n
  4. Reduced evaporation allows even more SST warming\u2014especially in the NH\u2014amplifying the IHTC (positive feedback loop).<\/li>\n<\/ol>\n\n\n\n

    High-equilibrium climate sensitivity (ECS) models show the largest positive IHTC trends and biggest mismatches with data. Models do a good job simulating multidecadal variability<\/strong> in IHTC (tied to aerosol and natural forcings), but their long-term trend is artificially boosted by this overstated GHG-WES response.<\/p>\n\n\n\n

    Lead author Chengde He: \u201cThe climate models are too sensitive to greenhouse gases.\u201d<\/em><\/strong><\/p>\n\n\n\n

    \u201cThe tropical rain belt, hurricanes, drought, wildfires\u2014they\u2019re all related.\u201d<\/strong><\/p>\n\n\n\n

    Because high-ECS models exaggerate the GHG-driven northward ITCZ shift, future northward shifts of the tropical rain belt are likely less pronounced<\/strong> than those models project (under scenarios like SSP5-8.5). Low-ECS models, which better match the observed IHTC trend, show muted shifts.<\/p>\n\n\n\n

    A bonus from the study: Models simulate multidecadal IHTC variability realistically. Using this as an \u201cemergent constraint,\u201d the authors narrow the effective radiative forcing from aerosol-cloud interactions to \u22120.6 \u00b1 0.3 W\/m\u00b2<\/strong>\u2014a \u201clikely\u201d range 57% narrower than the latest IPCC estimate. This helps reduce uncertainty in historical climate forcing without changing the overall picture of GHG-driven warming.<\/p>\n\n\n\n

    The paper is open access and available at Nature Communications. It does not question overall anthropogenic warming or the reality of GHG forcing\u2014it refines our understanding of regional patterns and tropical feedbacks, which are critical for trustworthy projections of rain, drought, and extremes.<\/p>\n\n\n\n

    Ongoing improvements in model resolution, aerosol physics, and ocean-atmosphere coupling should help close this gap.<\/p>\n\n\n\n

    Climate models exaggerate greenhouse gas impact on recent interhemispheric temperature patterns and tropical climate<\/strong><\/p>\n\n\n\n

    Published: February 27, 2026, in Nature Communications<\/strong><\/p>\n\n\n\n

    Nature Communications<\/em><\/a> volume 17<\/strong>, Article number: 3265 (2026) <\/p>\n\n\n\n

    Lead author: <\/em><\/strong>Chengde He (Northeastern University)<\/p>\n\n\n\n

    Colleagues:<\/strong> Amy C. Clement, Mark A. Cane, and others<\/p>\n\n\n\n

    Abstract<\/h2>\n\n\n\n

    The interhemispheric thermal contrast, defined as the mean sea surface temperature difference between the northern and southern hemispheres, crucially influences tropical climate. Climate models show a positive interhemispheric thermal contrast trend since 1950, with more warming in the northern hemisphere compared to the southern hemisphere, contradicting the observed negative trend. Here we show this discrepancy stems from models overestimating greenhouse gas responses via wind-evaporation-sea surface temperature feedback, while anthropogenic and natural aerosols combine to produce the negative trend in observations. Consequently, models with high equilibrium climate sensitivity exhibit larger discrepancies with observations. Despite model failure to reproduce the trend, the modeled multidecadal interhemispheric thermal contrast variability aligns with observations, enabling a constrained estimate of effective radiative forcing due to aerosol-cloud interactions of, with a \u201clikely\u201d range 57% narrower than the latest IPCC report. Our study further suggests that future northward shifts of the tropical rain belt are likely to be less pronounced than predicted by climate models with high equilibrium climate sensitivity.<\/p>\n","protected":false},"excerpt":{"rendered":"

    Climate models and ocean observations diverge primarily on the pattern of hemispheric ocean warming\u2014specifically, the interhemispheric thermal contrast (IHTC), or the difference in average sea surface temperature (SST) between the Northern and Southern Hemispheres. This is not a failure of global temperature trends (models and observations align closely on overall ~1.5\u00b0C warming since ~1900), but on regional and hemispheric details that matter enormously for atmospheric circulation.<\/p>\n","protected":false},"author":121246920,"featured_media":441136,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_coblocks_attr":"","_coblocks_dimensions":"","_coblocks_responsive_height":"","_coblocks_accordion_ie_support":"","_crdt_document":"","advanced_seo_description":"","jetpack_seo_html_title":"","jetpack_seo_noindex":false,"_jetpack_newsletter_access":"","_jetpack_dont_email_post_to_subs":false,"_jetpack_newsletter_tier_id":0,"_jetpack_memberships_contains_paywalled_content":false,"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":true,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2},"jetpack_post_was_ever_published":false},"categories":[1],"tags":[691842498,691818153,691836791,691821768,691842499,691842495,691842497,691825500,691842496],"class_list":{"0":"post-441135","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-uncategorized","8":"tag-anthropogenic-aerosols","9":"tag-climate-models","10":"tag-coupled-model-intercomparison-project-phase-6-cmip6","11":"tag-global-sea-surface-temperature-sst","12":"tag-high-equilibrium-climate-sensitivity-ecs-models","13":"tag-interhemispheric-thermal-contrast-ihtc","14":"tag-northern-hemisphere-nh","15":"tag-southern-hemisphere-sh","16":"tag-wind-evaporation-sea-surface-temperature-wes","18":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2026\/04\/0-Why-Climate-Models-Get-Ocean-Warming-Patterns-Wrong-They-Exaggerate-Greenhouse-Gas-Effects-on-the-Hemispheres.jpg?fit=1168%2C784&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-1QL5","jetpack-related-posts":[{"id":386395,"url":"https:\/\/climatescience.press\/?p=386395","url_meta":{"origin":441135,"position":0},"title":"Climate Oscillations 5: SAM","author":"uwe.roland.gross","date":"02\/07\/2025","format":false,"excerpt":"The Antarctic Oscillation (AAO) is also called the Southern Annular Mode or SAM. It is defined as the difference between the zonal (meaning east-west or circumpolar) sea level air pressure between 40\u00b0S and 65\u00b0S. That is the sea level pressure at 65\u00b0S is subtracted from the sea level pressure at\u2026","rel":"","context":"In \"Antarctic Oscillation (AAO)\"","block_context":{"text":"Antarctic Oscillation (AAO)","link":"https:\/\/climatescience.press\/?tag=antarctic-oscillation-aao"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/00AQNwU1DKTQlZ0eLSXRZgHUDDT1IUMvJRZ34HJSD329Sp22t9D2hkgBvMYYxXGmKLotm7IuEWCDL269g-xjFyJLRw2uUbFtuyJem3Bx2x02dG4EFd7xv1sYowFxp0E6zQZpZZj8lA3WicZGiOwkd-01Ei0wmxbw-1.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/00AQNwU1DKTQlZ0eLSXRZgHUDDT1IUMvJRZ34HJSD329Sp22t9D2hkgBvMYYxXGmKLotm7IuEWCDL269g-xjFyJLRw2uUbFtuyJem3Bx2x02dG4EFd7xv1sYowFxp0E6zQZpZZj8lA3WicZGiOwkd-01Ei0wmxbw-1.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/00AQNwU1DKTQlZ0eLSXRZgHUDDT1IUMvJRZ34HJSD329Sp22t9D2hkgBvMYYxXGmKLotm7IuEWCDL269g-xjFyJLRw2uUbFtuyJem3Bx2x02dG4EFd7xv1sYowFxp0E6zQZpZZj8lA3WicZGiOwkd-01Ei0wmxbw-1.jpeg?fit=1200%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/00AQNwU1DKTQlZ0eLSXRZgHUDDT1IUMvJRZ34HJSD329Sp22t9D2hkgBvMYYxXGmKLotm7IuEWCDL269g-xjFyJLRw2uUbFtuyJem3Bx2x02dG4EFd7xv1sYowFxp0E6zQZpZZj8lA3WicZGiOwkd-01Ei0wmxbw-1.jpeg?fit=1200%2C1200&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/00AQNwU1DKTQlZ0eLSXRZgHUDDT1IUMvJRZ34HJSD329Sp22t9D2hkgBvMYYxXGmKLotm7IuEWCDL269g-xjFyJLRw2uUbFtuyJem3Bx2x02dG4EFd7xv1sYowFxp0E6zQZpZZj8lA3WicZGiOwkd-01Ei0wmxbw-1.jpeg?fit=1200%2C1200&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":384092,"url":"https:\/\/climatescience.press\/?p=384092","url_meta":{"origin":441135,"position":1},"title":"Climate Oscillations 2: The Western Hemisphere Warm Pool (WHWP)","author":"uwe.roland.gross","date":"21\/06\/2025","format":false,"excerpt":"The Western Hemisphere warm pool or the WHWP is an anomaly based on the area of the ocean warmer than 28.5\u00b0C (that is within the 28.5\u00b0C isotherm) and approximately within the rectangular region from 7\u00b0N \u2013 27\u00b0N and 110\u00b0W to 50\u00b0W. 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The earth receives most of the sun's power all\u2026","rel":"","context":"In \"Climate change\"","block_context":{"text":"Climate change","link":"https:\/\/climatescience.press\/?tag=climate-change"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/02\/0Burnt-Earth-Global-Warming-Climate-Change.webp?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/02\/0Burnt-Earth-Global-Warming-Climate-Change.webp?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/02\/0Burnt-Earth-Global-Warming-Climate-Change.webp?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/02\/0Burnt-Earth-Global-Warming-Climate-Change.webp?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/02\/0Burnt-Earth-Global-Warming-Climate-Change.webp?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441135","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/users\/121246920"}],"replies":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=441135"}],"version-history":[{"count":30,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441135\/revisions"}],"predecessor-version":[{"id":441166,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/441135\/revisions\/441166"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/media\/441136"}],"wp:attachment":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=441135"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=441135"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=441135"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}