{"id":253072,"date":"2023-04-15T20:46:30","date_gmt":"2023-04-15T18:46:30","guid":{"rendered":"https:\/\/climatescience.press\/?p=253072"},"modified":"2023-04-15T20:46:33","modified_gmt":"2023-04-15T18:46:33","slug":"confirmed-climate-models-too-hot-to-trust","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=253072","title":{"rendered":"Confirmed: Climate Models Too Hot to Trust"},"content":{"rendered":"\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"482\" data-attachment-id=\"253078\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=253078\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?fit=1024%2C682&amp;ssl=1\" data-orig-size=\"1024,682\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"0climate-models-74\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?fit=723%2C482&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?resize=723%2C482&#038;ssl=1\" alt=\"\" class=\"wp-image-253078\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?w=1024&amp;ssl=1 1024w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?resize=300%2C200&amp;ssl=1 300w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?resize=768%2C512&amp;ssl=1 768w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\" \/><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">From <a href=\"http:\/\/Science Matters\">Science Matters<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By\u00a0<a href=\"https:\/\/rclutz.com\/author\/ronaldrc\/\">Ron Clutz<\/a><\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"521\" data-attachment-id=\"253074\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=253074\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?fit=800%2C576&amp;ssl=1\" data-orig-size=\"800,576\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"0Christy-2-800&amp;#215;576-1\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?fit=723%2C521&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?resize=723%2C521&#038;ssl=1\" alt=\"\" class=\"wp-image-253074\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?w=800&amp;ssl=1 800w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?resize=300%2C216&amp;ssl=1 300w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0Christy-2-800x576-1.webp?resize=768%2C553&amp;ssl=1 768w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">Clintel Presentation by John Christy\u00a0<a href=\"https:\/\/clintel.org\/new-presentation-by-john-christy-models-for-ar6-still-fail-to-reproduce-trends-in-tropical-troposphere\/\">https:\/\/clintel.org\/new-presentation-by-john-christy-models-for-ar6-still-fail-to-reproduce-trends-in-tropical-troposphere\/<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Ross McKitrick reports on a new study confirming the chart above.&nbsp; His Financial Post article is&nbsp;<a href=\"https:\/\/financialpost.com\/opinion\/ross-mckitrick-the-important-climate-study-you-wont-hear-about\"><strong>The important climate study you won\u2019t hear about.&nbsp;<\/strong><\/a>&nbsp;Excerpts in italics with my bolds and added images<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The study is\u00a0<a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2022JD037472\"><strong>Mid-Tropospheric Layer Temperature Record Derived From Satellite Microwave Sounder Observations With Backward Merging Approach<\/strong><\/a>\u00a0by Cheng-Zhi Zou at JGR Atmospheres.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<h5 class=\"wp-block-heading\"><strong>The Significance<\/strong><\/h5>\n\n\n\n<p class=\"wp-block-paragraph\"><strong>Ross McKitrick:&nbsp;<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">In the end the two (satellite) series were similar but&nbsp;<strong>RSS has consistently exhibited more warming than UAH.<\/strong>&nbsp;Then a little more than<strong>&nbsp;a decade ago,<\/strong>&nbsp;the group at NOAA headed by Zou produced&nbsp;<strong>a new data product called STAR<\/strong>&nbsp;(Satellite Applications and Research). They used the same underlying microwave retrievals but produced&nbsp;<strong>a temperature record showing much more warming than either UAH or RSS, as well as all the weather balloon records<\/strong>. It came close to validating the climate models, although in my paper with Christy we included the STAR data in the satellite average and the models still ran too hot. Nonetheless it was possible to point to the coolest of the models and compare them to the STAR data and find a match, which was&nbsp;<strong>a lifeline for those arguing that climate models are within the uncertainty range of the data.<\/strong><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Until now. In their new paper Zou and his co-authors rebuilt the STAR series based on a new empirical method for removing time-of-day observation drift and a more stable method of merging satellite records.\u00a0<strong>Now STAR agrees with the UAH series very closely \u2014 in fact it has a slightly smaller warming trend.<\/strong>\u00a0The old STAR series had a mid-troposphere warming trend of 0.16 degrees Celsius per decade, but it\u2019s\u00a0<strong>now 0.09 degrees per decade,<\/strong>\u00a0compared to 0.1 in UAH and 0.14 in RSS.\u00a0<strong>For the troposphere as a whole they estimate a warming trend of 0.14 C\/decade.<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"263\" data-attachment-id=\"253075\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=253075\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?fit=2128%2C773&amp;ssl=1\" data-orig-size=\"2128,773\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"image-344\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?fit=723%2C263&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=723%2C263&#038;ssl=1\" alt=\"\" class=\"wp-image-253075\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=1024%2C372&amp;ssl=1 1024w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=300%2C109&amp;ssl=1 300w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=768%2C279&amp;ssl=1 768w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=1536%2C558&amp;ssl=1 1536w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=2048%2C744&amp;ssl=1 2048w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?resize=1200%2C436&amp;ssl=1 1200w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-344.png?w=1446&amp;ssl=1 1446w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\" \/><\/figure>\n\n\n\n<p class=\"has-text-align-center wp-block-paragraph\">Figure 14 Global mean Temperature Total Troposphere (TTT, TMT adjusted by TLS) time series (blue lines) and its smoothed time series (red lines). The locally weighted regression method (Cleveland, 1979) is used for the smoothing. Both TMT and TLS for TTT generation are from STAR V5.0.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<figure class=\"wp-block-image size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"304\" data-attachment-id=\"253077\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=253077\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?fit=1246%2C524&amp;ssl=1\" data-orig-size=\"1246,524\" data-comments-opened=\"1\" data-image-meta=\"{&quot;aperture&quot;:&quot;0&quot;,&quot;credit&quot;:&quot;&quot;,&quot;camera&quot;:&quot;&quot;,&quot;caption&quot;:&quot;&quot;,&quot;created_timestamp&quot;:&quot;0&quot;,&quot;copyright&quot;:&quot;&quot;,&quot;focal_length&quot;:&quot;0&quot;,&quot;iso&quot;:&quot;0&quot;,&quot;shutter_speed&quot;:&quot;0&quot;,&quot;title&quot;:&quot;&quot;,&quot;orientation&quot;:&quot;0&quot;}\" data-image-title=\"image-345\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?fit=723%2C304&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?resize=723%2C304&#038;ssl=1\" alt=\"\" class=\"wp-image-253077\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?resize=1024%2C431&amp;ssl=1 1024w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?resize=300%2C126&amp;ssl=1 300w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?resize=768%2C323&amp;ssl=1 768w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?resize=1200%2C505&amp;ssl=1 1200w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/image-345.png?w=1246&amp;ssl=1 1246w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\" \/><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>Until now. In their new paper Zou and his co-authors rebuilt the STAR series based on a new empirical method for removing time-of-day observation drift and a more stable method of merging satellite records.<\/p>\n","protected":false},"author":121246920,"featured_media":253078,"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":[691818153,691818397],"class_list":{"0":"post-253072","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-uncategorized","8":"tag-climate-models","9":"tag-noaa","11":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/04\/0climate-models-74.jpeg?fit=1024%2C682&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-13PO","jetpack-related-posts":[{"id":338497,"url":"https:\/\/climatescience.press\/?p=338497","url_meta":{"origin":253072,"position":0},"title":"Technical University Munich: \u201cWhy we can\u2019t predict the timing of climate tipping points\u201d","author":"uwe.roland.gross","date":"04\/08\/2024","format":false,"excerpt":"According to Technical University Munich, poor quality climate data and oversimplified model assumptions make it impossible to pinpoint significant future climate events.","rel":"","context":"In \"Atlantic meridional overturning circulation (AMOC)\"","block_context":{"text":"Atlantic meridional overturning circulation (AMOC)","link":"https:\/\/climatescience.press\/?tag=atlantic-meridional-overturning-circulation-amoc"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/08\/0ouija-board-ouija-board-classic-light-wood-5.webp?fit=1200%2C900&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/08\/0ouija-board-ouija-board-classic-light-wood-5.webp?fit=1200%2C900&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/08\/0ouija-board-ouija-board-classic-light-wood-5.webp?fit=1200%2C900&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/08\/0ouija-board-ouija-board-classic-light-wood-5.webp?fit=1200%2C900&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/08\/0ouija-board-ouija-board-classic-light-wood-5.webp?fit=1200%2C900&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":301114,"url":"https:\/\/climatescience.press\/?p=301114","url_meta":{"origin":253072,"position":1},"title":"Proof that the Spencer &amp; Christy Method of Plotting Temperature Time Series is Best","author":"uwe.roland.gross","date":"10\/02\/2024","format":false,"excerpt":"The goal here is to plot multiple temperature time series on a single graph in such a way the their different rates of long-term warming (usually measured by linear warming trends) are best reflected by their placement on the graph, without hiding those differences.","rel":"","context":"In \"climate model data\"","block_context":{"text":"climate model data","link":"https:\/\/climatescience.press\/?tag=climate-model-data"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/02\/0Screenshot-2024-02-10-205706.png?fit=1128%2C897&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/02\/0Screenshot-2024-02-10-205706.png?fit=1128%2C897&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/02\/0Screenshot-2024-02-10-205706.png?fit=1128%2C897&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/02\/0Screenshot-2024-02-10-205706.png?fit=1128%2C897&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/02\/0Screenshot-2024-02-10-205706.png?fit=1128%2C897&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":385704,"url":"https:\/\/climatescience.press\/?p=385704","url_meta":{"origin":253072,"position":2},"title":"A 485-million-year history of bad science","author":"uwe.roland.gross","date":"29\/06\/2025","format":false,"excerpt":"A few days ago I published another analysis of mine, called\u00a0pHony Alarmism. Take a moment to read that if you haven\u2019t, because this is a sequel. Both are about a new study in Science Magazine yclept\u00a0\u201cA 485-million-year history of Earth\u2019s surface temperature\u201d, paywalled, of course.","rel":"","context":"In \"Atmospheric CO2\"","block_context":{"text":"Atmospheric CO2","link":"https:\/\/climatescience.press\/?tag=atmospheric-co2"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-24.-Mai-2025-20_11_24-4.png?fit=1024%2C1024&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-24.-Mai-2025-20_11_24-4.png?fit=1024%2C1024&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-24.-Mai-2025-20_11_24-4.png?fit=1024%2C1024&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-24.-Mai-2025-20_11_24-4.png?fit=1024%2C1024&ssl=1&resize=700%2C400 2x"},"classes":[]},{"id":371240,"url":"https:\/\/climatescience.press\/?p=371240","url_meta":{"origin":253072,"position":3},"title":"How to stop being surprised by extreme weather? Stop making it about climate.","author":"uwe.roland.gross","date":"21\/03\/2025","format":false,"excerpt":"From the\u00a0Weather is Not Climate unless we say it is\u00a0department and the University of Reading, comes this\u00a0press release\u00a0about an inane study that tries to link tree rings and severe weather, while ignoring\u00a0warning fatigue.","rel":"","context":"In \"Climate\"","block_context":{"text":"Climate","link":"https:\/\/climatescience.press\/?tag=climate"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/00-extreme-weather.jpeg?fit=1200%2C695&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/00-extreme-weather.jpeg?fit=1200%2C695&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/00-extreme-weather.jpeg?fit=1200%2C695&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/00-extreme-weather.jpeg?fit=1200%2C695&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/00-extreme-weather.jpeg?fit=1200%2C695&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":353171,"url":"https:\/\/climatescience.press\/?p=353171","url_meta":{"origin":253072,"position":4},"title":"German Scientists Using Generative AI to Hallucinate Fake Climate Records","author":"uwe.roland.gross","date":"04\/12\/2024","format":false,"excerpt":"Taking \u201cmodel output is data\u201d to the next level\u2026","rel":"","context":"In \"Artificial Intelligence (AI)\"","block_context":{"text":"Artificial Intelligence (AI)","link":"https:\/\/climatescience.press\/?tag=artificial-intelligence-ai"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/12\/0-Fake-Climate-Records.jpg?fit=1200%2C675&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/12\/0-Fake-Climate-Records.jpg?fit=1200%2C675&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/12\/0-Fake-Climate-Records.jpg?fit=1200%2C675&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/12\/0-Fake-Climate-Records.jpg?fit=1200%2C675&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/12\/0-Fake-Climate-Records.jpg?fit=1200%2C675&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":371492,"url":"https:\/\/climatescience.press\/?p=371492","url_meta":{"origin":253072,"position":5},"title":"Why \u201cCan you provide empirical measured proof of how much warming is caused by CO2?\u201d is a really stupid question","author":"uwe.roland.gross","date":"23\/03\/2025","format":false,"excerpt":"The question\u2014 \u201cCan you provide empirical measured proof of how much warming is caused by CO2?\u201d\u2014on its surface appears perfectly rational, even scientific. Yet, despite its appeal, it\u2019s not just unanswerable with current methods\u2014it also reflects a misunderstanding of how climate science works. And no matter one\u2019s position in the\u2026","rel":"","context":"In \"carbon dioxide (CO\u2082)\"","block_context":{"text":"carbon dioxide (CO\u2082)","link":"https:\/\/climatescience.press\/?tag=carbon-dioxide-co%e2%82%82"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/0gas-chromatography-mass-spectroscopy.jpg?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/0gas-chromatography-mass-spectroscopy.jpg?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/0gas-chromatography-mass-spectroscopy.jpg?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/0gas-chromatography-mass-spectroscopy.jpg?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/03\/0gas-chromatography-mass-spectroscopy.jpg?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/253072","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=253072"}],"version-history":[{"count":4,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/253072\/revisions"}],"predecessor-version":[{"id":253080,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/253072\/revisions\/253080"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/media\/253078"}],"wp:attachment":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=253072"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=253072"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=253072"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}