{"id":384092,"date":"2025-06-21T20:20:31","date_gmt":"2025-06-21T18:20:31","guid":{"rendered":"https:\/\/climatescience.press\/?p=384092"},"modified":"2025-06-21T20:20:32","modified_gmt":"2025-06-21T18:20:32","slug":"climate-oscillations-2-the-western-hemisphere-warm-pool-whwp","status":"publish","type":"post","link":"https:\/\/climatescience.press\/?p=384092","title":{"rendered":"Climate Oscillations 2: The Western Hemisphere Warm Pool (WHWP)"},"content":{"rendered":"<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-large\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"683\" height=\"1024\" data-attachment-id=\"384102\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=384102\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?fit=1024%2C1536&amp;ssl=1\" data-orig-size=\"1024,1536\" 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=\"0ChatGPT Image 21. Juni 2025, 20_19_01\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?fit=683%2C1024&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?resize=683%2C1024&#038;ssl=1\" alt=\"\" class=\"wp-image-384102\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?resize=683%2C1024&amp;ssl=1 683w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?resize=200%2C300&amp;ssl=1 200w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?resize=768%2C1152&amp;ssl=1 768w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?w=1024&amp;ssl=1 1024w\" sizes=\"auto, (max-width: 683px) 100vw, 683px\" \/><figcaption class=\"wp-element-caption\">ChatGPT<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">From <a href=\"https:\/\/wattsupwiththat.com\/2025\/06\/19\/climate-oscillations-2-the-western-hemisphere-warm-pool-whwp\/\">Watts Up With That?<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">By\u00a0<a href=\"https:\/\/wattsupwiththat.com\/author\/andymay2014_69488455_3713736997\/\">Andy May<\/a><\/p>\n\n\n\n<p class=\"wp-block-paragraph\">As seen in the&nbsp;<a href=\"https:\/\/andymaypetrophysicist.com\/2025\/06\/16\/climate-oscillations-1-the-regression\/\">first post<\/a>&nbsp;of this series the&nbsp;<a href=\"https:\/\/andymaypetrophysicist.com\/2025\/05\/26\/musings-on-the-amo\/\">AMO<\/a>&nbsp;(Atlantic Multidecadal Oscillation) and the WHWP (Western Hemisphere Warm Pool) area are the two climate oscillations that explain most of the variability (64%) in the HadCRUT5 global mean surface temperature reconstruction (GMST) since 1950. Adding the Southern Annular Mode (SAM) explains 77% of HadCRUT5 variability.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">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. This area extends from the eastern North Pacific (west of Mexico, Central America, and Columbia) to the Gulf of America, the Caribbean, and well into the Atlantic during the WHWP peak in August and September (Wang &amp; Enfield, 2001) and (Wang &amp; Enfield, 2003). It is significant because&nbsp;<a href=\"https:\/\/acp.copernicus.org\/articles\/23\/14239\/2023\/#:~:text=Deep%20convective%20clouds%20%28DCCs%29%20occur%20primarily%20in%20the,the%20region%20of%20convection%20%28Fan%20et%20al.%2C%202013%29.\">deep convection<\/a>&nbsp;starts at about 28\u00b0C (Sud, Walker, &amp; Lau, 1999).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The WHWP nearly disappears in the Northern Hemisphere winter and begins in the eastern Pacific off the coast of Mexico and Central America each spring (think the current&nbsp;<a href=\"https:\/\/weather.substack.com\/p\/june-18-2025-hurricane-season-wednesday\">Hurricane Erick<\/a>). It spreads northeastward across Mexico via an atmospheric bridge into the Caribbean and the Gulf of America in June and July. It typically reaches its maximum size in September (see figure 1). Unlike the western Indo-Pacific warm pool which straddles the equator, the WHWP is entirely north of the equator (Wang &amp; Enfield, 2003). Figure 1 shows some key maps of the 1950-2000 average 28.5\u00b0C SST isotherm from Wang and Enfield\u2019s 2003 paper.<\/p>\n\n\n\n<figure class=\"wp-block-image size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"723\" height=\"616\" data-attachment-id=\"384094\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=384094\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?fit=792%2C675&amp;ssl=1\" data-orig-size=\"792,675\" 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\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?fit=723%2C616&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?resize=723%2C616&#038;ssl=1\" alt=\"\" class=\"wp-image-384094\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?w=792&amp;ssl=1 792w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?resize=300%2C256&amp;ssl=1 300w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-440.png?resize=768%2C655&amp;ssl=1 768w\" sizes=\"auto, (max-width: 723px) 100vw, 723px\" \/><figcaption class=\"wp-element-caption\">Figure 1. Key monthly average contour maps of 1950-2000 average SST in the WHWP region. The critical 28.5\u00b0C isotherm is shaded. Note the peak area on the Pacific side is in May and the peak Atlantic side area is in September. To see maps for more months see figure 1 in (Wang &amp; Enfield, 2003).<\/figcaption><\/figure>\n\n\n\n<p class=\"wp-block-paragraph\">All indices of Atlantic tropical cyclone activity include a multidecadal variation that is consistent with multidecadal variations of the AMO (Goldenberg, Landsea, Mestas-Nu\u00f1ez, &amp; Gray, 2001) and the Atlantic portion of the WHWP, sometimes called the AWP or the Atlantic Warm Pool (Wang, Lee, &amp; Enfield, 2008). When the Atlantic portion of the WHWP is large it reduces vertical wind shear and increases the instability of the troposphere, both of which increase hurricane activity (Wang, Lee, &amp; Enfield, 2008). The WHWP has strong ties to the AMO and a statistical connection to ENSO (Wang, Lee, &amp; Enfield, 2008) and (Enfield &amp; Mayer, 1997).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Due to the equatorial Atlantic easterly winds and ocean currents, water warmed by the Sun in the Northern Hemispheric summer collects in the Gulf of America and Caribbean forming the core of the AWP. While the Gulf Stream carries away a lot of this heat, it cannot keep up in the summer and the water warms until deep convection starts. The deep convection forms high level clouds that keep longwave radiation from escaping and act as a positive feedback. The increase in SST and evaporation act to lower sea level air pressure further increasing cloudiness and forming organized storms (Wang &amp; Enfield, 2003). Atlantic and Caribbean hurricanes form within the WHWP and act as giant air conditioners that suck heat from the sea surface and take it almost as high as the stratosphere in some strong storms, they also transport heat as far as the North Atlantic and Canada. These processes accelerate the transport of the excess energy to outer space.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Hurricanes often rapidly intensify both south and north of Cuba in August and September. The WHWP very quickly dissipates after October. The heat fluxes in the WHWP are illustrated in figure 2, which is from Wang &amp; Enfield (2003).<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"579\" height=\"720\" data-attachment-id=\"384096\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=384096\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-441.png?fit=579%2C720&amp;ssl=1\" data-orig-size=\"579,720\" 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\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-441.png?fit=579%2C720&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-441.png?resize=579%2C720&#038;ssl=1\" alt=\"\" class=\"wp-image-384096\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-441.png?w=579&amp;ssl=1 579w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-441.png?resize=241%2C300&amp;ssl=1 241w\" sizes=\"auto, (max-width: 579px) 100vw, 579px\" \/><figcaption class=\"wp-element-caption\">Figure 2. 2a: SST, net heat flux, and ocean heat storage. 2b: Heat fluxes, solar is positive heat flux, latent, longwave, and sensible fluxes are negative. The net flux in (a) is solar-latent-longwave-sensible. The zero line in (a) is where the ocean heat storage tendency is balanced, below zero is heat loss from ocean and above zero is heating of the upper ocean.<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">In figure 2a SST, net heat flux, and ocean heat storage are plotted by average 1950-2000 monthly values. The horizontal blue line is at zero ocean heat storage to divide ocean cooling from ocean warming, the boundaries are in February and August. SST changes follow heat flux changes by three to four months. The individual heat fluxes are plotted in figure 2b, the net flux in (a) is the shortwave (solar) flux minus the net longwave, net latent (evaporation), and net sensible fluxes which are all negative (Wang &amp; Enfield, 2003).<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The longwave radiation is computed using the graybody flux from the ocean surface and factoring in the back radiation from clouds. The latent flux takes into account evaporation, which is a function of SST and average windspeed. Sensible heat flux is mostly a function of wind speed. The average depth of the&nbsp;<a href=\"https:\/\/andymaypetrophysicist.com\/2020\/12\/12\/the-ocean-mixed-layer-sst-and-climate-change\/\">mixed layer<\/a>, and thus the SSTs shown in figure 1, is about 25 meters.<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">The WHWP is closely correlated to both the Ni\u00f1o-3 anomaly and the tropical North Atlantic anomaly, R<sup>2<\/sup>&nbsp;= 0.68 and 0.63 respectively (Wang &amp; Enfield, 2003). Unsurprisingly, the eastern North Pacific portion of the WHWP is very closely correlated with Ni\u00f1o-3 with a zero time-lag. Ni\u00f1o-3 and the overall WHWP have a three-month lag. Figure 3 displays the full year WHWP and its 5-year running mean.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"672\" height=\"407\" data-attachment-id=\"384097\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=384097\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-442.png?fit=672%2C407&amp;ssl=1\" data-orig-size=\"672,407\" 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\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-442.png?fit=672%2C407&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-442.png?resize=672%2C407&#038;ssl=1\" alt=\"\" class=\"wp-image-384097\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-442.png?w=672&amp;ssl=1 672w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-442.png?resize=300%2C182&amp;ssl=1 300w\" sizes=\"auto, (max-width: 672px) 100vw, 672px\" \/><figcaption class=\"wp-element-caption\">Figure 3. The full year WHWP average and its 5-year running mean. Data from\u00a0<a href=\"https:\/\/psl.noaa.gov\/data\/climateindices\/list\/\">NOAA<\/a>.<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">As we saw in\u00a0<a href=\"https:\/\/andymaypetrophysicist.com\/2025\/06\/16\/climate-oscillations-1-the-regression\/\">post one<\/a>, the WHWP is closely related to the global mean surface temperature (GMST) something also pointed out in Wang and Enfield, 2003. The annual development and destruction of the WHWP correlates closely with seasonal precipitation, temperature, and storminess over North and Central America. The WHWP nearly disappears every winter, so the key months for the WHWP are from May through October. Figure 4 plots the average just for these critical months, I added the HadCRUT5 GMST for comparison. The close relationship between HadCRUT5 and WHWP is easily seen.<\/p>\n\n\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img data-recalc-dims=\"1\" loading=\"lazy\" decoding=\"async\" width=\"679\" height=\"423\" data-attachment-id=\"384100\" data-permalink=\"https:\/\/climatescience.press\/?attachment_id=384100\" data-orig-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-444.png?fit=679%2C423&amp;ssl=1\" data-orig-size=\"679,423\" 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\" data-image-description=\"\" data-image-caption=\"\" data-large-file=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-444.png?fit=679%2C423&amp;ssl=1\" src=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-444.png?resize=679%2C423&#038;ssl=1\" alt=\"\" class=\"wp-image-384100\" srcset=\"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-444.png?w=679&amp;ssl=1 679w, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/image-444.png?resize=300%2C187&amp;ssl=1 300w\" sizes=\"auto, (max-width: 679px) 100vw, 679px\" \/><figcaption class=\"wp-element-caption\">Figure 4. The \u201csummer average,\u201d that is the average of the months May through October, the active WHWP period. Data from NOAA. The heavy gray curve is the HadCRUT5 average for the whole year.<\/figcaption><\/figure>\n<\/div>\n\n\n<p class=\"wp-block-paragraph\">Although the WHWP is not discussed as much as the AMO, PDO, ENSO, and other oscillations it is a good predictor of the HadCRUT5 global mean surface temperature. In combination with the Antarctic Oscillation or Southern Annular Mode and the AMO it does a very good job. This suggests that The North Atlantic and the Southern Hemisphere circulation patterns correlate very well with global climate trends, CO<sub>2<\/sub>&nbsp;may fit in there somewhere, but it must share the spotlight with these natural oscillations.<\/p>\n\n\n\n<h1 class=\"wp-block-heading\">Works Cited<\/h1>\n\n\n\n<p class=\"wp-block-paragraph\">Enfield, D. B., &amp; Mayer, D. A. (1997). Tropical Atlantic sea surface temperature variability and its relation to El Ni\u00f1o-Southern Oscillation.&nbsp;<em>Journal of Geophysical Research: Oceans, 102<\/em>(C1). doi:10.1029\/96JC03296<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Goldenberg, S. B., Landsea, C. W., Mestas-Nu\u00f1ez, A. M., &amp; Gray, W. M. (2001). The Recent Increase in Atlantic Hurricane Activity: Causes and Implications.&nbsp;<em>Science, 293<\/em>(5529), 474-479. doi:10.1126\/science.1060040<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Sud, Y. C., Walker, G. K., &amp; Lau, K. M. (1999). Mechanisms Regulating Sea-Surface Temperatures and Deep Convection in the Tropics.&nbsp;<em>Geophysical Research Letters, 26<\/em>(8), 1019-1022. doi:10.1029\/1999GL900197<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wang, C., &amp; Enfield, D. B. (2001). The Tropical Western Hemisphere Warm Pool.&nbsp;<em>Geophysical Research Letters, 28<\/em>(8). doi:10.1029\/2000GL011763<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wang, C., &amp; Enfield, D. B. (2003). A Further Study of the Tropical Western Hemisphere Warm Pool.&nbsp;<em>Journal of Climate, 16<\/em>(10), 1476-1493. doi:10.1175\/1520-0442(2003)016&lt;1476:AFSOTT&gt;2.0.CO;2<\/p>\n\n\n\n<p class=\"wp-block-paragraph\">Wang, C., Lee, S.-K., &amp; Enfield, D. B. (2008). Atlantic Warm Pool acting as a link between Atlantic Multidecadal Oscillation and Atlantic tropical cyclone activity.&nbsp;<em>Geochemistry, Geophysics, Geosystems, 9<\/em>(5). doi:10.1029\/2007GC001809<\/p>\n\n\n\n<p class=\"wp-block-paragraph\"><\/p>\n","protected":false},"excerpt":{"rendered":"<p>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. This area extends from the eastern North Pacific (west of Mexico, Central America, and Columbia) to the Gulf of America, the Caribbean, and well into the Atlantic during the WHWP peak in August and September (Wang &#038; Enfield, 2001) and (Wang &#038; Enfield, 2003). It is significant because\u00a0deep convection\u00a0starts at about 28\u00b0C (Sud, Walker, &#038; Lau, 1999).<\/p>\n","protected":false},"author":121246920,"featured_media":384102,"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":[691835944,691835905,691835946,691835945,691834391,691835943],"class_list":{"0":"post-384092","1":"post","2":"type-post","3":"status-publish","4":"format-standard","5":"has-post-thumbnail","6":"hentry","7":"category-uncategorized","8":"tag-atlantic-warm-pool-awp","9":"tag-climate-oscillations","10":"tag-hadcrut5-gmst","11":"tag-northern-hemispheric","12":"tag-sst-sea-surface-temperature-2","13":"tag-western-hemisphere-warm-pool-whwo","15":"fallback-thumbnail"},"jetpack_publicize_connections":[],"jetpack_featured_media_url":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/0ChatGPT-Image-21.-Juni-2025-20_19_01.png?fit=1024%2C1536&ssl=1","jetpack_likes_enabled":true,"jetpack_sharing_enabled":true,"jetpack_shortlink":"https:\/\/wp.me\/paxLW1-1BV2","jetpack-related-posts":[{"id":247093,"url":"https:\/\/climatescience.press\/?p=247093","url_meta":{"origin":384092,"position":0},"title":"Influence of ocean cycles on the current warm phase in Germany","author":"uwe.roland.gross","date":"06\/03\/2023","format":false,"excerpt":"The high temperature level of the last 20 years in Germany can primarily be attributed to the current warm phase of the Atlantic Multidecadal Oscillation AMO and the spread of the \"Western Hemisphere Warm Pool\" WHWP.","rel":"","context":"Similar post","block_context":{"text":"Similar post","link":""},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/03\/image-259.png?fit=1200%2C755&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/03\/image-259.png?fit=1200%2C755&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/03\/image-259.png?fit=1200%2C755&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/03\/image-259.png?fit=1200%2C755&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2023\/03\/image-259.png?fit=1200%2C755&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":383684,"url":"https:\/\/climatescience.press\/?p=383684","url_meta":{"origin":384092,"position":1},"title":"Climate Oscillations 1: The Regression","author":"uwe.roland.gross","date":"19\/06\/2025","format":false,"excerpt":"I did a regression analysis to see how the twelve oscillations (14 in the 1978 regression) I looked at correlated to the HadCRUT5 global mean surface temperature (GMST). GMST is not a very good indicator of climate or climate change, but it is a commonly used yardstick of climate model\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\/06\/ChatGPT-Image-8.-Juni-2025-18_50_51-2.png?fit=1200%2C800&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-8.-Juni-2025-18_50_51-2.png?fit=1200%2C800&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-8.-Juni-2025-18_50_51-2.png?fit=1200%2C800&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-8.-Juni-2025-18_50_51-2.png?fit=1200%2C800&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/06\/ChatGPT-Image-8.-Juni-2025-18_50_51-2.png?fit=1200%2C800&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":392991,"url":"https:\/\/climatescience.press\/?p=392991","url_meta":{"origin":384092,"position":2},"title":"Climate Oscillations 11: Oceanic Ni\u00f1o Index (ONI)","author":"uwe.roland.gross","date":"05\/08\/2025","format":false,"excerpt":"The Oceanic Ni\u00f1o Index or\u00a0ONI\u00a0is NOAA\u2019s primarily indicator for monitoring the sea surface temperature (SST) anomaly in the critical Ni\u00f1o 3.4 region. It is a 3-month running mean of ERSST.v5 SST anomalies in the Ni\u00f1o 3.4 region, defined as 5\u00b0N-5\u00b0S and 120\u00b0W-170\u00b0W. Figure 1 shows the ONI as computed from\u2026","rel":"","context":"In \"Climate Oscillations\"","block_context":{"text":"Climate Oscillations","link":"https:\/\/climatescience.press\/?tag=climate-oscillations"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/08\/0AQM1yAaYgc1bunnkL8sOya59GvZHjD_7bkZrzDUL-2lGvUsGLIqQqF5EzSbr9km0FznsGchR2yu1uYa27QNY9M5TCyvKhSKOrqmybFoQYq7emW8CIFtdzadrzmD3h9CLnJ9z-eskLA-ycD0KPsxFPlqIEgUS-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\/08\/0AQM1yAaYgc1bunnkL8sOya59GvZHjD_7bkZrzDUL-2lGvUsGLIqQqF5EzSbr9km0FznsGchR2yu1uYa27QNY9M5TCyvKhSKOrqmybFoQYq7emW8CIFtdzadrzmD3h9CLnJ9z-eskLA-ycD0KPsxFPlqIEgUS-1.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/08\/0AQM1yAaYgc1bunnkL8sOya59GvZHjD_7bkZrzDUL-2lGvUsGLIqQqF5EzSbr9km0FznsGchR2yu1uYa27QNY9M5TCyvKhSKOrqmybFoQYq7emW8CIFtdzadrzmD3h9CLnJ9z-eskLA-ycD0KPsxFPlqIEgUS-1.jpeg?fit=1200%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/08\/0AQM1yAaYgc1bunnkL8sOya59GvZHjD_7bkZrzDUL-2lGvUsGLIqQqF5EzSbr9km0FznsGchR2yu1uYa27QNY9M5TCyvKhSKOrqmybFoQYq7emW8CIFtdzadrzmD3h9CLnJ9z-eskLA-ycD0KPsxFPlqIEgUS-1.jpeg?fit=1200%2C1200&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/08\/0AQM1yAaYgc1bunnkL8sOya59GvZHjD_7bkZrzDUL-2lGvUsGLIqQqF5EzSbr9km0FznsGchR2yu1uYa27QNY9M5TCyvKhSKOrqmybFoQYq7emW8CIFtdzadrzmD3h9CLnJ9z-eskLA-ycD0KPsxFPlqIEgUS-1.jpeg?fit=1200%2C1200&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":390171,"url":"https:\/\/climatescience.press\/?p=390171","url_meta":{"origin":384092,"position":3},"title":"Climate Oscillations 10: Aleutian Low \u2013 Beaufort Sea Anticyclone (ALBSA)","author":"uwe.roland.gross","date":"22\/07\/2025","format":false,"excerpt":"The Aleutian Low \u2013 Beaufort Sea Anticyclone climate index or\u00a0ALBSA\u00a0is designed to compare the Aleutian Low Pressure and the Beaufort Sea High Pressure Centers. The intent is to relate air circulation patterns in the North Pacific and Arctic to climate and the timing of spring sea ice and snow melt.","rel":"","context":"In \"Aleutian Low\"","block_context":{"text":"Aleutian Low","link":"https:\/\/climatescience.press\/?tag=aleutian-low"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0AQPuLKs2CQGbfYkSqLzLa-0RIwmY8F9ORWiykYa_b8prYj70ilKc3ldJ0DWXuJdXy6K5x0srT-WmWrzKjMl7GmIUdge7KaUanHcl0EQjC354pkMtFPtA87JVc_oZL0IKoA-FmrRa_m80UmnAhcdXrunqX48H-Q-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\/0AQPuLKs2CQGbfYkSqLzLa-0RIwmY8F9ORWiykYa_b8prYj70ilKc3ldJ0DWXuJdXy6K5x0srT-WmWrzKjMl7GmIUdge7KaUanHcl0EQjC354pkMtFPtA87JVc_oZL0IKoA-FmrRa_m80UmnAhcdXrunqX48H-Q-1.jpeg?fit=1200%2C1200&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0AQPuLKs2CQGbfYkSqLzLa-0RIwmY8F9ORWiykYa_b8prYj70ilKc3ldJ0DWXuJdXy6K5x0srT-WmWrzKjMl7GmIUdge7KaUanHcl0EQjC354pkMtFPtA87JVc_oZL0IKoA-FmrRa_m80UmnAhcdXrunqX48H-Q-1.jpeg?fit=1200%2C1200&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0AQPuLKs2CQGbfYkSqLzLa-0RIwmY8F9ORWiykYa_b8prYj70ilKc3ldJ0DWXuJdXy6K5x0srT-WmWrzKjMl7GmIUdge7KaUanHcl0EQjC354pkMtFPtA87JVc_oZL0IKoA-FmrRa_m80UmnAhcdXrunqX48H-Q-1.jpeg?fit=1200%2C1200&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0AQPuLKs2CQGbfYkSqLzLa-0RIwmY8F9ORWiykYa_b8prYj70ilKc3ldJ0DWXuJdXy6K5x0srT-WmWrzKjMl7GmIUdge7KaUanHcl0EQjC354pkMtFPtA87JVc_oZL0IKoA-FmrRa_m80UmnAhcdXrunqX48H-Q-1.jpeg?fit=1200%2C1200&ssl=1&resize=1050%2C600 3x"},"classes":[]},{"id":386395,"url":"https:\/\/climatescience.press\/?p=386395","url_meta":{"origin":384092,"position":4},"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":389931,"url":"https:\/\/climatescience.press\/?p=389931","url_meta":{"origin":384092,"position":5},"title":"Climate Oscillations 9: Arctic &amp; North Atlantic Oscillations","author":"uwe.roland.gross","date":"20\/07\/2025","format":false,"excerpt":"The Arctic Oscillation (AO) is also called the Northern Annular Mode or NAM. It is analogous to the Southern Annular Mode or SAM discussed in\u00a0Climate Oscillations 5. However, there is a large difference, whereas SAM is an oscillation over an ocean that surrounds land, NAM is an oscillation over land\u2026","rel":"","context":"In \"Arctic Oscillation (AO)\"","block_context":{"text":"Arctic Oscillation (AO)","link":"https:\/\/climatescience.press\/?tag=arctic-oscillation-ao"},"img":{"alt_text":"","src":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0figure-3.jpg?fit=1200%2C1029&ssl=1&resize=350%2C200","width":350,"height":200,"srcset":"https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0figure-3.jpg?fit=1200%2C1029&ssl=1&resize=350%2C200 1x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0figure-3.jpg?fit=1200%2C1029&ssl=1&resize=525%2C300 1.5x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0figure-3.jpg?fit=1200%2C1029&ssl=1&resize=700%2C400 2x, https:\/\/i0.wp.com\/climatescience.press\/wp-content\/uploads\/2025\/07\/0figure-3.jpg?fit=1200%2C1029&ssl=1&resize=1050%2C600 3x"},"classes":[]}],"_links":{"self":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/384092","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=384092"}],"version-history":[{"count":5,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/384092\/revisions"}],"predecessor-version":[{"id":384103,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/posts\/384092\/revisions\/384103"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=\/wp\/v2\/media\/384102"}],"wp:attachment":[{"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=384092"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=384092"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/climatescience.press\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=384092"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}