{"id":330194,"date":"2024-05-27T08:34:10","date_gmt":"2024-05-27T06:34:10","guid":{"rendered":"https:\/\/climatescience.press\/?p=330194"},"modified":"2024-05-27T08:34:13","modified_gmt":"2024-05-27T06:34:13","slug":"the-overlooked-sub-grid-air-sea-flux-in-climate-models","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=330194","title":{"rendered":"The Overlooked Sub-Grid Air-Sea Flux in Climate Models"},"content":{"rendered":"\n
\"\"<\/figure>\n\n\n\n

<\/p>\n\n\n\n

From Watts Up With That?<\/a><\/p>\n\n\n\n

by anonymous contributor<\/p>\n\n\n\n

Global Circulation Models (GCMs) have long been the primary tools for climate prediction, driving political and policy decisions. However, GCMs have consistently run hot,<\/a> predicting more warming than has been observed. A recent paper titled \u201cThe Overlooked Sub-Grid Air-Sea Flux in Climate Models\u201d by Julius J.M. Busecke et al.<\/a> exposes a significant deficiency in these models: their handling of small-scale air-sea interactions. Let\u2019s explore the findings and implications of this study, highlighting the potential for improved modeling techniques to enhance climate predictions, though without guaranteed results.<\/p>\n\n\n\n

Understanding Air-Sea Interactions<\/h2>\n\n\n\n

Air-sea interactions are critical for regulating the Earth\u2019s climate. These processes involve the exchange of heat, momentum, and gases between the ocean and the atmosphere, affecting weather patterns, ocean circulation, and climate variability. The ocean absorbs about 90% of the excess heat due to human activities, playing a central role in global climate dynamics.<\/p>\n\n\n\n

Complexities in Modeling Air-Sea Interactions<\/h3>\n\n\n\n

Accurately representing air-sea interactions in climate models is challenging due to their complex and variable nature. These interactions occur across a wide range of spatial and temporal scales, from short-term processes like boundary layer turbulence and hurricane formation to long-term phenomena such as the El Ni\u00f1o-Southern Oscillation. The representation of these processes is hampered by the resolution of the models and the inherent nonlinearity of the coupling formulae used to simulate them.<\/p>\n\n\n\n

Limitations of Coarse-Resolution Models<\/h3>\n\n\n\n

The primary issue highlighted by Busecke et al. is the coarse resolution of most current GCMs, typically around 1\u00b0 or larger. These models fail to capture small-scale structures and processes at the air-sea interface, leading to significant biases in the simulation of sea surface temperatures (SSTs) and air-sea heat fluxes. The study states:<\/p>\n\n\n\n

\n

\u201cCoarse-resolution climate models do not resolve small-scale structures in the air-sea state, which, due to strong nonlinearities in the coupling formulae, can impact the large-scale air-sea exchange\u2014a mechanism that has received little attention.\u201d<\/p>\n\n\n\n

https:\/\/www.researchgate.net\/publication\/380723812_The_Overlooked_Sub-Grid_Air-Sea_Flux_in_Climate_Models<\/a><\/p>\n<\/blockquote>\n\n\n\n

This oversight results in a systematic cooling of the ocean by about 4 W\/m\u00b2 globally, with significant regional variations. These biases contribute to the tendency of GCMs to overestimate future warming, casting doubt on their reliability.<\/p>\n\n\n\n

The Role of High-Resolution Simulations<\/h2>\n\n\n\n

To address this deficiency, the researchers employed high-resolution coupled climate simulations with a resolution of 1\/10\u00b0. These simulations allowed them to analyze the effects of small-scale heterogeneity on air-sea heat fluxes, revealing that such heterogeneity can significantly alter large-scale fluxes.<\/p>\n\n\n\n

Methodology<\/h3>\n\n\n\n

The researchers used a method involving spatial filtering and offline computation of heat fluxes to quantify the impact of small-scale processes. They defined the small-scale turbulent heat flux (Q*) as:<\/p>\n\n\n\n

\n

\u201cQ* = Q \u2013 Qc, where Q is the flux computed using the high-resolution fields, and Qc is the flux computed using the low-resolution surrogate fields.\u201d<\/p>\n\n\n\n

https:\/\/www.researchgate.net\/publication\/380723812_The_Overlooked_Sub-Grid_Air-Sea_Flux_in_Climate_Models<\/a><\/p>\n<\/blockquote>\n\n\n\n

This approach isolates the net impact of small-scale variability on large-scale fluxes, which is often missing in coarse-resolution models.<\/p>\n\n\n\n

Key Findings<\/h3>\n\n\n\n

The study found that small-scale air-sea fluxes show strong spatial and temporal variability, locally reaching values up to 100 W\/m\u00b2. On average, these fluxes result in a global cooling effect of approximately 4 W\/m\u00b2, with some regions experiencing even higher values.<\/p>\n\n\n\n

Atmospheric vs. Oceanic Contributions<\/h4>\n\n\n\n

One striking finding is the differentiation between atmospheric and oceanic contributions to these small-scale fluxes. The atmospheric component predominantly leads to cooling, while the oceanic component is more variable, causing both warming and cooling depending on the region. This variability is especially pronounced in dynamically active areas such as western boundary currents and the Antarctic Circumpolar Current.<\/p>\n\n\n\n

The study explains:<\/p>\n\n\n\n

\n

\u201cThe contribution to the sub-grid flux (Q*) due to small-scale atmospheric features (Q*,A) produces a spatially smooth cooling effect over much of the ocean\u2026 In contrast, the contribution from small-scale oceanic features (Q*,O) is highly spatially variable and results in both warming and cooling of the ocean.\u201d<\/p>\n\n\n\n

https:\/\/www.researchgate.net\/publication\/380723812_The_Overlooked_Sub-Grid_Air-Sea_Flux_in_Climate_Models<\/a><\/p>\n<\/blockquote>\n\n\n\n

Regional Impacts<\/h3>\n\n\n\n

The impact of small-scale heterogeneity is not uniform across the globe. Regions with high dynamic activity, such as the western boundary currents (e.g., the Gulf Stream and the Kuroshio Current) and the Agulhas retroflection, exhibit the strongest cooling effects, with long-term averages exceeding 20 W\/m\u00b2. In contrast, areas near the equator and the more energetic parts of the Antarctic Circumpolar Current sometimes show warming effects due to small-scale oceanic features.<\/p>\n\n\n\n

The researchers found that around 70% of daily average values for the small-scale flux enhance the large-scale flux, with over 20% of these values showing an enhancement exceeding 10% of the magnitude of the large-scale flux. In dynamically active regions, this enhancement is even more pronounced, highlighting the critical role of small-scale processes in shaping large-scale climatic patterns.<\/p>\n\n\n\n

Implications for Climate Modeling<\/h2>\n\n\n\n

The implications of these findings are significant. The study underscores the need for GCMs to incorporate parameterizations that account for small-scale heterogeneity. The current generation of models, as used in the Coupled Model Intercomparison Project (CMIP), exhibits substantial biases that have led to inaccurate predictions and, consequently, questionable policy decisions based on these models.<\/p>\n\n\n\n

Moving Towards Improved Models<\/h3>\n\n\n\n

Future climate models need to integrate high-resolution data and develop robust parameterizations for small-scale processes. As the paper suggests:<\/p>\n\n\n\n

\n

\u201cBy identifying an overlooked contribution to air-sea heat flux in climate models, we open a promising new direction for addressing biases in climate simulations and thus improving future climate predictions.\u201d<\/p>\n\n\n\n

https:\/\/www.researchgate.net\/publication\/380723812_The_Overlooked_Sub-Grid_Air-Sea_Flux_in_Climate_Models<\/a><\/p>\n<\/blockquote>\n\n\n\n

However, it\u2019s crucial to acknowledge that these improvements are not guaranteed to resolve all the inaccuracies in current climate models. While the study highlights a significant oversight, the path to fully accurate climate predictions remains uncertain.<\/p>\n\n\n\n

The Need for Comprehensive Parameterizations<\/h3>\n\n\n\n

Developing comprehensive parameterizations that accurately represent the impact of small-scale heterogeneity in coarse-resolution models is a complex but essential task. This involves not only heat fluxes but also momentum and gas exchanges, which play critical roles in the climate system.<\/p>\n\n\n\n

The study emphasizes the importance of accounting for the variability due to sub-grid flows using stochastic approaches, as well as the need for parameterizations that address the impacts of spatial heterogeneity at the air-sea interface. While some parameterizations exist for temporal variability (e.g., gustiness), no comprehensive parameterization currently accounts for all components of spatial heterogeneity.<\/p>\n\n\n\n

Challenges and Future Directions<\/h2>\n\n\n\n

While the study provides a crucial step forward, it also acknowledges several limitations. The reliance on high-resolution simulations means that results are sensitive to the resolution and scale of filtering used. Additionally, more work is needed to understand how these small-scale fluxes interact with other processes and influence large-scale circulation and energetics.<\/p>\n\n\n\n

Addressing Scale-Dependence<\/h3>\n\n\n\n

One major challenge is the scale-dependence of the estimated fluxes. The researchers note that while they do not believe the qualitative results of their study would change with different resolutions, building quantitative confidence will require higher-resolution coupled simulations and a thorough investigation of scale-dependence.<\/p>\n\n\n\n

Integrating Observations and Models<\/h3>\n\n\n\n

A promising direction for future research is the integration of high-resolution observational data with model simulations. Upcoming satellite missions, like ODYSEA, and field campaigns conducting high-resolution surveys of the air-sea transition zone could provide valuable data to validate and refine model parameterizations. These efforts could help bridge the gap between high-resolution simulations and coarse-resolution climate models.<\/p>\n\n\n\n

Extending the Study to Other Fluxes<\/h3>\n\n\n\n

While this study focuses on turbulent heat fluxes, the researchers suggest that future work should also consider the effects on momentum and gas fluxes. These fluxes are equally important for understanding the dynamics of the climate system and could reveal additional biases and deficiencies in current models.<\/p>\n\n\n\n

Conclusion<\/h2>\n\n\n\n

The paper by Busecke et al. highlights a significant shortcoming in current climate models, emphasizing the need for greater attention to small-scale air-sea interactions. Addressing this gap is crucial for improving the accuracy of climate predictions and informing more reliable policy decisions. Integrating high-resolution data and refining model parameterizations will be essential steps toward a more accurate and reliable understanding of our changing climate.<\/p>\n\n\n\n

In summary, while GCMs have provided a basic framework for understanding climate dynamics, it is imperative to recognize and address their limitations. By incorporating insights from studies like this one, we can develop more robust models that better capture the complexities of the Earth system, leading to more informed and effective climate policies.<\/p>\n\n\n\n

The journey towards more accurate climate models is ongoing, and acknowledging the deficiencies in current approaches is a critical step. As we enhance our understanding of small-scale processes and their impacts, we might move closer to developing climate models that can truly reflect the intricacies of the Earth\u2019s climate system. However, it\u2019s essential to remain cautious and critical, as the path to reliable climate predictions is fraught with challenges and uncertainties.<\/p>\n\n\n\n

The full pre-print can be accessed here.<\/a><\/p>\n\n\n\n

H\/T Judith Curry and  Friends of Science Society<\/a>, Ken Gregory Director<\/p>\n\n\n\n

<\/p>\n","protected":false},"excerpt":{"rendered":"

Global Circulation Models (GCMs) have long been the primary tools for climate prediction, driving political and policy decisions. However, GCMs have consistently run hot, predicting more warming than has been observed. A recent paper titled \u201cThe Overlooked Sub-Grid Air-Sea Flux in Climate Models\u201d by Julius J.M. Busecke et al. exposes a significant deficiency in these models: their handling of small-scale air-sea interactions. Let\u2019s explore the findings and implications of this study, highlighting the potential for improved modeling techniques to enhance climate predictions, though without guaranteed results.<\/p>\n","protected":false},"author":121246920,"featured_media":330197,"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":[691818153,691828806,691821747],"class_list":{"0":"post-330194","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-global-circulation-models-gcms","10":"tag-oceans","12":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0-oceans-and-island.jpeg?fit=1600%2C900&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-1nTI","jetpack-related-posts":[{"id":333151,"url":"https:\/\/climatescience.press\/?p=333151","url_meta":{"origin":330194,"position":0},"title":"GCMs Cannot Predict Climate","author":"uwe.roland.gross","date":"17\/06\/2024","format":false,"excerpt":"In March, my article \u201cTraffic Lights and Roundabouts \u2013 Why the Climate Models will never work\u201d was presented on WUWT. That was a somewhat light-hearted analogy between road traffic and climate, saying in essence that the techniques used in climate models wouldn\u2019t work for road traffic, so why would you\u2026","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\/2024\/06\/image-352.png?fit=1200%2C630&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/06\/image-352.png?fit=1200%2C630&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/06\/image-352.png?fit=1200%2C630&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/06\/image-352.png?fit=1200%2C630&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/06\/image-352.png?fit=1200%2C630&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":169820,"url":"https:\/\/climatescience.press\/?p=169820","url_meta":{"origin":330194,"position":1},"title":"Nobel Prize for World\u2019s Worst Climate Model","author":"uwe.roland.gross","date":"27\/10\/2021","format":false,"excerpt":"Patrick J. Michaels reports at Real Clear Policy\u00a0Nobel Prize Awarded for the Worst Climate Model.\u00a0Excerpts in italics with my bolds and added images. Given the persistent headlines about climate change over the years, it\u2019s surprising\u00a0how long it took the Nobel Committee to award the Physics prize to a climate modeler,\u00a0which\u2026","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2021\/10\/0noaa-climate-model.jpg?resize=350%2C200&ssl=1","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2021\/10\/0noaa-climate-model.jpg?resize=350%2C200&ssl=1 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2021\/10\/0noaa-climate-model.jpg?resize=525%2C300&ssl=1 1.5x"},"classes":[]},{"id":385343,"url":"https:\/\/climatescience.press\/?p=385343","url_meta":{"origin":330194,"position":2},"title":"Scafetta: Climate Models Have\u00a0Issues","author":"uwe.roland.gross","date":"27\/06\/2025","format":false,"excerpt":"The Coupled Model Intercomparison Project (CMIP) global climate models\u00a0(GCMs) assess\u00a0that nearly\u00a0100% of global surface warming\u00a0observed\u00a0between 1850\u20131900 and 2011\u20132020 is attributable to\u00a0anthropogenic drivers like\u00a0greenhouse gas emissions.\u00a0These models\u00a0also generate future climate projections based on shared socioeconomic pathways (SSPs), aiding in risk assessment and the development of costly \u201cNet-Zero\u201d climate mitigation strategies.","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\/2023\/06\/0-CMIP6-climate-models.jpeg?fit=1200%2C900&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/06\/0-CMIP6-climate-models.jpeg?fit=1200%2C900&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/06\/0-CMIP6-climate-models.jpeg?fit=1200%2C900&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/06\/0-CMIP6-climate-models.jpeg?fit=1200%2C900&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/06\/0-CMIP6-climate-models.jpeg?fit=1200%2C900&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":337086,"url":"https:\/\/climatescience.press\/?p=337086","url_meta":{"origin":330194,"position":3},"title":"Intro to Climate\u00a0Fallacies","author":"uwe.roland.gross","date":"20\/07\/2024","format":false,"excerpt":"In GCMs, the equilibrium climate sensitivity is an \u2018emergent property\u2019 that is not directly calibrated or tuned.","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\/2024\/07\/2quote-star-trek-scotty.jpg?fit=1200%2C881&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/07\/2quote-star-trek-scotty.jpg?fit=1200%2C881&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/07\/2quote-star-trek-scotty.jpg?fit=1200%2C881&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/07\/2quote-star-trek-scotty.jpg?fit=1200%2C881&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/07\/2quote-star-trek-scotty.jpg?fit=1200%2C881&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":330464,"url":"https:\/\/climatescience.press\/?p=330464","url_meta":{"origin":330194,"position":4},"title":"Good and Bad Climate Models Simply\u00a0Put","author":"uwe.roland.gross","date":"29\/05\/2024","format":false,"excerpt":"Thanks to John Shewchuk of ClimateCraze for explaining simply how climate models are evaluated and why most are untrustworthy in the above video. He also explains why worst performing model was prized rather than the one closest to the truth.\u00a0 Below is a synopsis of a discussion by Patrick Michaels\u2026","rel":"","context":"In \"Climate models\"","block_context":{"text":"Climate models","link":"https:\/\/climatescience.press\/?tag=climate-models"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0ICCC13-DC-Spencer-25-July-2019-Tropical-LT-scaled-1.jpg?fit=1200%2C675&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0ICCC13-DC-Spencer-25-July-2019-Tropical-LT-scaled-1.jpg?fit=1200%2C675&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0ICCC13-DC-Spencer-25-July-2019-Tropical-LT-scaled-1.jpg?fit=1200%2C675&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0ICCC13-DC-Spencer-25-July-2019-Tropical-LT-scaled-1.jpg?fit=1200%2C675&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2024\/05\/0ICCC13-DC-Spencer-25-July-2019-Tropical-LT-scaled-1.jpg?fit=1200%2C675&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":365861,"url":"https:\/\/climatescience.press\/?p=365861","url_meta":{"origin":330194,"position":5},"title":"New Study: Today\u2019s Climate Models \u2018Do Not Agree with Reality\u2019 And Thus Their Usefulness Is \u2018Doubtful\u2019","author":"uwe.roland.gross","date":"12\/02\/2025","format":false,"excerpt":"Because the current state-of-the-art general circulation models (GCMs) cannot simulate the trends and variances in global precipitation over the last 84 years (1940-2023), their usefulness should be reconsidered.","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\/01\/0climate-models-epic-fail-3.png?fit=1200%2C931&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/01\/0climate-models-epic-fail-3.png?fit=1200%2C931&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/01\/0climate-models-epic-fail-3.png?fit=1200%2C931&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/01\/0climate-models-epic-fail-3.png?fit=1200%2C931&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/01\/0climate-models-epic-fail-3.png?fit=1200%2C931&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/330194","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=330194"}],"version-history":[{"count":4,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/330194\/revisions"}],"predecessor-version":[{"id":330199,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/330194\/revisions\/330199"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/media\/330197"}],"wp:attachment":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=330194"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=330194"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=330194"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}