{"id":436,"date":"2007-04-18T13:59:45","date_gmt":"2007-04-18T18:59:45","guid":{"rendered":"\/?p=436"},"modified":"2022-11-20T18:03:14","modified_gmt":"2022-11-20T23:03:14","slug":"ocean-cooling-not","status":"publish","type":"post","link":"https:\/\/www.realclimate.org\/index.php\/archives\/2007\/04\/ocean-cooling-not\/","title":{"rendered":"Ocean Cooling. Not. <lang_pt>Resfriamento Oce\u00e2nico? N\u00e3o.<\/lang_pt> <lang_fr>L&#8217;oc\u00e9an se refroidit. Pas.<\/lang_fr>"},"content":{"rendered":"<div class=\"kcite-section\" kcite-section-id=\"436\">\n<p>A lot has been made of a paper (<a href=\"https:\/\/doi.org\/10.1029\/2006GL027033\">Lyman et al, 2006<\/a>) that <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2006\/08\/ocean-heat-content-latest-numbers\/\">appeared last year<\/a> that claimed that the oceans had, contrary to expectation, cooled over the period 2003-2005. At the time, we (correctly) pointed out that this result was going to be hard to reconcile with continued increases in sea level rise (driven in large part by thermal expansion effects), and that there may still be issues with way that the new <a href=\"http:\/\/www-argo.ucsd.edu\/index.html\">ARGO floats<\/a> were being incorporated into the ocean measurement network. Now it seems as if there is a problem in the data and in the <a href=\"https:\/\/oceans.pmel.noaa.gov\/sites\/default\/files\/atoms\/files\/heat_2006.pdf\">latest analysis<\/a>, the cooling has disappeared.<br \/>\n<!--more--><\/p>\n<p>Ocean heat content changes are <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/02\/why-looking-for-global-warming-in-the-oceans-is-a-good-idea\/\">potentially<\/a> a great way to evaluate <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/05\/planetary-energy-imbalance\/\">climate model results<\/a> that suggest that the planet is currently significantly out of equilibrium (i.e. it is absorbing more energy than it is emitting). However, the ocean is a very big place and the historical measurement networks are plagued with sampling issues in space and time. Large scale, long term compilations globally (such as by Levitus et al, 2001; Willis et al, 2004) and regionally (i.e. <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2006\/2006GL027691.shtml\">North Atlantic<\/a>) have indicated that the oceans have warmed in recent decades at pretty much the rate the models expected.<\/p>\n<p><a href=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" data-src=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" width=\"50%\" align=\"right\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>Since 2000, though, ARGO &#8211; which is a network of floats that move up and down in the ocean and follow the currents &#8211; has offered the potential to dramatically increase the sampling density in the ocean and provide, pretty much for the first time, continuous, well spaced data from the least visited, but important parts of the world (such as the Southern Oceans). Data on ocean heat content from these floats had been therefore eagerly anticipated.<\/p>\n<p>Initial ARGO measurements were incorporated into the Willis et al, 2004 analysis, but as the ARGO data started to dominate the data sources from around 2003, Lyman et al reported that the ocean seemed to be cooling. These were only short term changes, and while few would confuse one or two anomalous years with a long term trend, they were a little surprising, even if they didn&#8217;t change the long term picture very much.<\/p>\n<p>The news this week though is that all of that &#8216;cooling&#8217; was actually due to combination of a faulty pressure reading on a subset of the floats and a switch between differently-biased observing systems (<strong>Update:<\/strong> slight change in wording to better reflect the paper). The pressure error meant that the temperatures were being associated with a point higher in the ocean column than they should have been, and this (given that the ocean cools with depth) introduced a spurious cooling trend when compared to earlier data. This error may be fixable in some cases, but for the time being the suspect data has simply been removed from the analysis. The new results don&#8217;t show any cooling at all.<\/p>\n<p>Are we done then? Unfortunately no. Because of the paucity of measurements, assessments of ocean heat content need to use a wide variety of sensors, each with their own quirks and problems. Combined with switches in data sources over the years, there is a significant potential for non-climatic trends to creep in. In particular, the eXpendable BathyThermographs (XBTs &#8211; sensors that are essentially just thrown off the side of the ship) have a known problem in that they didn&#8217;t fall as quickly as they were originally assumed to. This gives a warm bias (see this <a href=\"http:\/\/www.iges.org\/c20c\/workshops\/200703\/ppt\/Ingleby.ppt \">summary <\/a>from Ingleby and Palmer or the paper by <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2007\/2006GL027834.shtml\">Gouretski and Koltermann<\/a>) , particularly in data from the 1970s before corrections were fully implemented. We are still going to have to wait for the &#8216;definitive&#8217; ocean heat content numbers, however, it is important to note that <i>all<\/i> analyses give long term increases in ocean heat content &#8211; particularly in the 1990s &#8211; whether they include the good ARGO data or exclude the XBTs or not).<\/p>\n<p>There are a number of wider lessons here:<\/p>\n<ul>\n<li>New papers need to stand the test of time before they are uncritically accepted.<\/li>\n<li>The ARGO float data are available in near real-time, and while that is very useful, any such data stream is always preliminary.<\/li>\n<li>The actual problem with these data was completely unknowable when Lyman et al wrote their paper. This is in fact very common given the number of steps required to create global data sets. Whether it&#8217;s an adjustment of the orbit of a satellite, a mis-calibration of a sensor, an unrecorded shift in station location, a corruption of the data logger or a human error, these problems often only get fixed after a lot of work.<\/li>\n<li>Anomalous results are often the driver of fundamental shifts in scientific thinking. However, most anomalous results end up being resolved much more straightforwardly (as in the case, or the <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/08\/et-tu-lt\/\">MSU satellite issue<\/a> a couple of years back).<\/li>\n<\/ul>\n<p>Scientists working in a field build up a certain intuition about how things &#8216;work&#8217;. This intuition can come from a gut instinct, deep theoretical understanding, robust model results, long experience with observations etc. New results that fall outside of that framework often have a tough time getting accepted, but if they are solid and get subsequent support they will generally be incorporated. But that intuition is also very good at detecting results that just don&#8217;t fit. When that happens, scientists spend a lot of time thinking about what might be wrong &#8211; with the data, the analysis, the model or the interpretation. It generally pays to withhold judgment until that process is finished.<\/p>\n<p><lang_pt>Muito falou-se sobre um trabalho (<a href=\"https:\/\/doi.org\/10.1029\/2006GL027033\">Lyman et al, 2006<\/a>) que foi publicado <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2006\/08\/ocean-heat-content-latest-numbers\/\">no ano passado<\/a> que afirmava que os oceanos, ao contr\u00e1rio de todas as expectativas, haviam se resfriado no per\u00edodo de 2003 a 2005. Naquela \u00e9poca, n\u00f3s (corretamente) apontamos que este resultado seria dif\u00edcil de ser conciliado com as cont\u00ednuas eleva\u00e7\u00f5es do n\u00edvel dos mares (ocasionados em grande parte por efeitos de expans\u00e3o t\u00e9rmica), e que havia problemas na maneira como as novas <a href=\"http:\/\/www-argo.ucsd.edu\/index.html\">b\u00f3ias ARGO<\/a> estavam sendo incorporadas na rede de medidas. Agora parece que de fato h\u00e1 um problema com os dados e nas<br \/>\n<a href=\"https:\/\/oceans.pmel.noaa.gov\/sites\/default\/files\/atoms\/files\/heat_2006.pdf\">\u00faltimas an\u00e1lises<\/a>, o resfriamento desapareceu.<\/p>\n<p>Mudan\u00e7as no conte\u00fado cal\u00f3rico dos oceanos s\u00e3o <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/02\/why-looking-for-global-warming-in-the-oceans-is-a-good-idea\/\">potencialmente<\/a> uma \u00f3tima maneira de avaliar <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/05\/planetary-energy-imbalance\/\">resultados de modelos clim\u00e1ticos<\/a> que sugerem que o planeta est\u00e1 atualmente fora de equil\u00edbrio (isto \u00e9, est\u00e1 absorvendo mais energia que emitindo). Entretanto, os oceanos s\u00e3o muito extensos e as redes de medidas hist\u00f3ricas est\u00e3o infestadas com problemas de amostragem no tempo e espa\u00e7o. Compila\u00e7\u00f5es de longa dura\u00e7\u00e3o e em grandes escalas globais (como as de Levitus et al, 2001; Willis et al, 2004) e regionais (i.e. <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2006\/2006GL027691.shtml\">Atl\u00e2ntico Norte<\/a>) indicaram que os oceanos aqueceram-se em d\u00e9cadas recentes mais ou menos na taxa esperada pelos modelos.<\/p>\n<p><a href=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" data-src=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" width=\"50%\" align=\"right\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>Desde 2000, entretanto, ARGO \u2013 que \u00e9 uma rede de b\u00f3ias que se movem para cima e para baixo nos oceanos e seguem as correntes \u2013 ofereceram o potencial de aumentar dramaticamente a densidade de amostragem nos oceanos e de fornecer, pela primeira vez, dados cont\u00ednuos e bem espa\u00e7ados das regi\u00f5es menos visitadas mas muito importantes do planeta (como os oceanos do sul). Dados sobre o conte\u00fado cal\u00f3rico dos oceanos eram conseq\u00fcentemente ansiosamente esperados.<\/p>\n<p>Medidas iniciais ARGO foram incorporadas na an\u00e1lise de 2004 de Willis et al, mas a medida que os dados ARGO passaram a dominar as fontes de dados em torno de 2003, Lyman et al relataram que os oceanos pareciam estar se resfriando. Estas eram apenas mudan\u00e7as de curto prazo, e enquanto poucos iriam confundir um ou dois anos an\u00f4malos com uma tend\u00eancia de longo prazo, elas eram um pouco surpreendentes, mesmo considerando que o panorama de longo prazo era pouco modificado<\/p>\n<p>A not\u00edcia esta semana \u00e9, no entanto, que todo aquele \u2018resfriamento\u2019 era na realidade devido \u00e0 combina\u00e7\u00e3o de uma leitura de press\u00e3o defeituosa num subconjunto das b\u00f3ias e a uma troca entre sistemas de observa\u00e7\u00e3o com diferentes tend\u00eancias. (<strong>Atualiza\u00e7\u00e3o:<\/strong><br \/>\nleve mudan\u00e7a no palavreado para melhor refletir o paper). O erro na press\u00e3o significou que as temperaturas estavam sendo associadas com um ponto mais elevado na coluna oce\u00e2nica do que deveria ser, e isto (dado que o oceano resfria-se com a profundidade) introduziu uma tend\u00eancia de resfriamento esp\u00faria quando comparada com dados anteriores. Este erro pode ser corrigido em alguns casos, mas por enquanto os dados suspeitos foram simplesmente retirados da an\u00e1lise. Os novos resultados n\u00e3o mostram assim nenhum resfriamento.<\/p>\n<p>Est\u00e1 tudo ent\u00e3o no lugar novamente? Infelizmente n\u00e3o. Por causa da escassez de dados, levantamentos do conte\u00fado cal\u00f3rico dos oceanos devem utilizar uma ampla variedade de sensores, cada um com suas pr\u00f3prias peculiaridades e problemas. Tudo isto combinado com mudan\u00e7as nas fontes de dados ao longo dos anos, h\u00e1 ent\u00e3o um grande potencial para tend\u00eancias n\u00e3o-clim\u00e1ticas aparecerem. Em particular, os eXpendable BathyThermographs (XBTs \u2013 sensores que s\u00e3o simplesmente jogados de um navio) t\u00eam um problema conhecido no fato de que estes n\u00e3o caem t\u00e3o depressa quanto supostamente deveriam. Isto gera uma tend\u00eancia de aquecimento (veja este <a href=\"http:\/\/www.iges.org\/c20c\/workshops\/200703\/ppt\/Ingleby.ppt \">resumo <\/a>de Ingleby e Palmer ou o trabalho de <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2007\/2006GL027834.shtml\">Gouretski e Koltermann<\/a>), particularmente nos dados dos anos 70, antes das corre\u00e7\u00f5es terem sido plenamente implementadas. N\u00f3s teremos ainda que esperar pelos n\u00fameros \u2018definitivos\u2019 do conte\u00fado cal\u00f3rico dos oceanos, entretanto, \u00e9 importante notar que <i>todas<\/i> as analises fornecem tend\u00eancias de aquecimento no longo prazo \u2013 particularmente nos anos 90 \u2013 seja se elas incluem os dados ARGOS bons ou excluem as XBTs ou n\u00e3o).<\/p>\n<p>H\u00e1 aqui um n\u00famero de importantes li\u00e7\u00f5es a serem tiradas:<\/p>\n<ul>\n<li>Novos trabalhos cient\u00edficos devem passar pelo teste do tempo antes de serem aceitos sem nenhuma cr\u00edtica.<\/li>\n<li>Os dados de b\u00f3ias ARGO est\u00e3o dispon\u00edveis em tempo quase real, e apesar disto ser extremamente \u00fatil, todo conjunto de dados deste tipo \u00e9 sempre preliminar.<\/li>\n<li>O problema real com estes dados era completamente desconhecido quando Lyman et al escreveram seu artigo. Este fato \u00e9 muito comum dado o n\u00famero de etapas necess\u00e1rias para criar conjuntos de dados globais. Seja um ajuste na \u00f3rbita de um sat\u00e9lite, a descalibra\u00e7\u00e3o de um sensor, um desvio despercebido na localiza\u00e7\u00e3o de uma esta\u00e7\u00e3o, a degrada\u00e7\u00e3o de um armazenador de dados ou um erro humano, estes problemas s\u00e3o frequentemente corrigidos apenas ap\u00f3s muito trabalho.<\/li>\n<li>Resultados an\u00f4malos s\u00e3o frequentemente respons\u00e1veis por mudan\u00e7as fundamentais no pensamento cient\u00edfico. Entretanto, a maior parte dos resultados an\u00f4malos terminam por serem explicados de uma maneira muito mais simples (como no caso em quest\u00e3o, ou o <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/08\/et-tu-lt\/\">caso do sat\u00e9lite MSU<\/a> h\u00e1 alguns anos).<\/li>\n<\/ul>\n<p>Cientistas que trabalham num determinado campo de atividades desenvolvem uma certa intui\u00e7\u00e3o a respeito de como as coisas \u2018funcionam\u2019. Esta intui\u00e7\u00e3o vem de um certo faro, um profundo conhecimento te\u00f3rico, resultados robustos de modelos, uma longa experi\u00eancia com observa\u00e7\u00f5es, etc. Novos resultados que caem fora dos padr\u00f5es pr\u00e9-estabelecidos freq\u00fcentemente enfrentam dificuldades para serem aceitos, mas se eles s\u00e3o s\u00f3lidos e obt\u00eam apoio subseq\u00fcente, eles geralmente s\u00e3o incorporados. Mas aquela intui\u00e7\u00e3o \u00e9 tamb\u00e9m muito boa para detectar resultados que simplesmente n\u00e3o se encaixam. Quando isto acontece, cientistas gastam muito tempo pensando no que pode ter dado errado \u2013 com os dados, a an\u00e1lise, o modelo ou a interpreta\u00e7\u00e3o. Geralmente \u00e9 recompensador n\u00e3o emitir nenhum julgamento at\u00e9 que este processo tenha terminado.<\/p>\n<p><small>traduzido por <a href=\"http:\/\/climagaia.blogspot.com\/\"> Fernando M. Ramos e Ivan B. T. Lima<\/a> <\/small><\/p>\n<p>&nbsp;<\/p>\n<p><small>Traduit par Etienne Pesnelle<\/small><\/p>\n<p><\/lang_pt><br \/>\n<lang_fr>On a fait tout un plat d&#8217;un article (<a href=\"https:\/\/doi.org\/10.1029\/2006GL027033\">Lyman et al, 2006<\/a>) <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2006\/08\/ocean-heat-content-latest-numbers\/\">paru l&#8217;ann\u00e9e derni\u00e8re<\/a> et qui pr\u00e9tendait que, contrairement aux attentes, les oc\u00e9ans s&#8217;\u00e9taient refroidis sur la p\u00e9riode 2003-2005. A l&#8217;\u00e9poque, nous avions (fort justement) soulign\u00e9 que ce r\u00e9sultat allait \u00eatre difficile \u00e0 r\u00e9concilier avec l&#8217;augmentation continue du niveau des mers (provoqu\u00e9e en grande partie par la dilatation thermique), et qu&#8217;il pouvait y avoir des probl\u00e8mes avec la fa\u00e7on dont les nouvelles <a href=\"http:\/\/www-argo.ucsd.edu\/index.html\">bou\u00e9es ARGO<\/a> \u00e9taient ins\u00e9r\u00e9es dans le r\u00e9seau de mesure oc\u00e9anique. Il appara\u00eet maintenant qu&#8217;il y avait un probl\u00e8me dans les donn\u00e9es et dans la <a href=\"https:\/\/oceans.pmel.noaa.gov\/sites\/default\/files\/atoms\/files\/heat_2006.pdf\">derni\u00e8re analyse<\/a>, le refroidissement a disparu.<\/p>\n<p>L&#8217;analyse des variations de la quantit\u00e9 de chaleur oc\u00e9anique est <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/02\/why-looking-for-global-warming-in-the-oceans-is-a-good-idea\/\">potentiellement<\/a> une m\u00e9thode importante pour contr\u00f4ler les <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/05\/planetary-energy-imbalance\/\">r\u00e9sultats des mod\u00e8les climatiques<\/a> qui sugg\u00e8rent que la plan\u00e8te n&#8217;est pas actuellement en \u00e9tat d&#8217;\u00e9quilibre (c&#8217;est-\u00e0-dire qu&#8217;elle absorbe plus d&#8217;\u00e9nergie qu&#8217;elle n&#8217;en \u00e9met). Toutefois, l&#8217;oc\u00e9an est un endroit tr\u00e8s vaste et les anciens r\u00e9seaux de mesure oc\u00e9anique sont la proie d&#8217;erreurs d&#8217;\u00e9chantillonnage spatial et temporel. Les compilations \u00e0 grande \u00e9chelle et sur de longues p\u00e9riodes, qu&#8217;elles soient mondiales (comme celle de Levitus et al, 2001 ou Willis et al, 2004) ou r\u00e9gionales (par exemple dans <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2006\/2006GL027691.shtml\">l&#8217;Atlantique Nord<\/a>) indiquent que les oc\u00e9ans se sont r\u00e9chauff\u00e9s durant les derni\u00e8res d\u00e9cennies, quasiment \u00e0 la vitesse donn\u00e9e par les mod\u00e8les.<\/p>\n<p><a href=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" target=\"_blank\" rel=\"noopener\"><img decoding=\"async\" data-src=\"http:\/\/sio-argo.ucsd.edu\/statusbig.gif\" width=\"50%\/\" align=\"right\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" class=\"lazyload\"><\/a>Depuis 2000, cependant, ARGO &#8211; un r\u00e9seau de bou\u00e9es qui montent et descendent dans les profondeurs oc\u00e9aniques et qui suivent les courants &#8211; a offert la possibilit\u00e9 d&#8217;augmenter spectaculairement la densit\u00e9 d&#8217;\u00e9chantillonnage oc\u00e9anique et de fournir, quasiment pour la premi\u00e8re fois, des donn\u00e9es continues et bien espac\u00e9es en provenance d&#8217;endroits parmi les moins visit\u00e9s mais n\u00e9anmoins importants (comme le Sud des oc\u00e9ans Atlantique et Pacifique). Les mesures de quantit\u00e9 de chaleur oc\u00e9anique en provenance de ces bou\u00e9es \u00e9taient donc attendues avec impatience.<\/p>\n<p>Les mesures initiales fournies par ARGO ont \u00e9t\u00e9 int\u00e9gr\u00e9es dans l&#8217;analyse 2004 de Willis et al, mais comme ARGO a commenc\u00e9 \u00e0 dominer les sources de donn\u00e9es \u00e0 partir de 2003 environ, Lyman et al ont constat\u00e9 que l&#8217;oc\u00e9an semblait se refroidir. C&#8217;\u00e9tait seulement des \u00e9volutions \u00e0 court terme, et m\u00eame si peu de personnes confondent une ou deux ann\u00e9es anormales avec une tendance \u00e0 long terme, ces \u00e9volutions \u00e9taient un peu surprenantes, m\u00eame si elles ne modifiaient pas beaucoup la vision \u00e0 long terme.<\/p>\n<p>Quant \u00e0 la nouvelle de la semaine, c&#8217;est que tout ce &#8220;refroidissement&#8221; \u00e9tait en fait d\u00fb \u00e0 la combinaison de mauvaises mesures de pression sur un sous-ensemble de bou\u00e9es et d&#8217;un basculement entre deux syst\u00e8mes de mesures pr\u00e9sentant des distortions diff\u00e9rentes (mise \u00e0 jour : petite modification de forme pour mieux refl\u00e9ter l&#8217;article). L&#8217;erreur de pression signifiait que les temp\u00e9ratures mesur\u00e9es \u00e9taient associ\u00e9es \u00e0 un point situ\u00e9 plus haut qu&#8217;il n&#8217;aurait d\u00fb \u00eatre dans la colonne d&#8217;eau, et que (comme l&#8217;oc\u00e9an se refroidit au fut et \u00e0 mesure qu&#8217;on descend) cela a introduit une tendance fallacieuse au refroidissement quand on a compar\u00e9 les mesures \u00e0 des donn\u00e9es plus anciennes. Cette erreur peut \u00eatre r\u00e9par\u00e9e dans certains cas, mais pour l&#8217;instant les donn\u00e9es suspectes ont \u00e9t\u00e9 simplement retir\u00e9es de l&#8217;analyse. Les nouveaux r\u00e9sultats ne montrent pas de refroidissement du tout.<\/p>\n<p>Alors, c&#8217;est tout ? Malheureusement non. A cause du manque de mesures, l&#8217;\u00e9valuation de la quantit\u00e9 de chaleur oc\u00e9anique n\u00e9cessite d&#8217;utiliser une large palette de capteurs, chacun ayant son lot de caprices et de probl\u00e8mes. En y ajoutant des changements de sources de donn\u00e9es au fil des ans, cela donne beaucoup de possibilit\u00e9s \u00e0 des tendances non-climatiques d&#8217;entrer discr\u00e8tement. En particulier, les bathythermographes extensibles (en anglais BathyThermographs ou XBT ; en gros ce sont des capteurs qui sont jet\u00e9s par<br \/>\ndessus bord) pr\u00e9sentent un d\u00e9faut connu, \u00e0 savoir qu&#8217;ils ne coulent pas aussi rapidement que pr\u00e9vu. Cela &#8220;r\u00e9chauffe&#8221; les mesures (voir ce <a href=\"http:\/\/www.iges.org\/c20c\/workshops\/200703\/ppt\/Ingleby.ppt \">r\u00e9sum\u00e9<\/a> d&#8217;Ingleby et Palmer, ou bien l&#8217;article de <a href=\"http:\/\/www.agu.org\/pubs\/crossref\/2007\/2006GL027834.shtml\">Gouretski et<br \/>\nKoltermann<\/a>), notamment celles des ann\u00e9es 1970, avant que les corrections aient \u00e9t\u00e9 effectu\u00e9es. Nous sommes toujours \u00e0 attendre les chiffres &#8220;d\u00e9finitifs&#8221; de la quantit\u00e9 de chaleur oc\u00e9anique, cependant il est important de noter que toutes les analyses donnent des augmentations \u00e0 long terme de la quantit\u00e9 de chaleur oc\u00e9anique &#8211; notamment dans les ann\u00e9es 1990 &#8211; qu&#8217;on inclut les bonnes donn\u00e9es ARGO ou qu&#8217;on exclut les XBT ou non.<\/p>\n<p>Il y a un certain nombre de le\u00e7ons \u00e0 tirer de cela :<\/p>\n<ul>\n<li>les nouveaux articles doivent r\u00e9sister \u00e0 l&#8217;\u00e9preuve du temps avant d&#8217;\u00eatre accept\u00e9s sans critique ;<\/li>\n<li>les donn\u00e9es des bou\u00e9es ARGO sont disponibles en quasi-temps r\u00e9el, et bien que ce soit tr\u00e8s pratique, un tel flux de donn\u00e9es est toujours un pr\u00e9alable \u00e0 l&#8217;analyse ;<\/li>\n<li>il \u00e9tait impossible de s&#8217;apercevoir de ce qui entachait ces donn\u00e9es quand Lyman et al ont \u00e9crit leur article. Cela est tr\u00e8s courant, compte tenu du nombre d&#8217;\u00e9tapes n\u00e9cessaires pour cr\u00e9er une base de donn\u00e9es mondiale. Que ce soit le mauvais ajustement de l&#8217;orbite d&#8217;un satellite, la mauvaise calibration d&#8217;un capteur, un d\u00e9calage non identifi\u00e9 de la localisation d&#8217;une station, la corruption d&#8217;un journal de bord ou une erreur humaine, ces probl\u00e8mes ne sont souvent corrig\u00e9s qu&#8217;apr\u00e8s beaucoup de travail.<\/li>\n<li>Des r\u00e9sultats anormaux sont souvent les moteurs de changements fondamentaux de la r\u00e9lflexion scientifique. Cependant, la plupart des r\u00e9sultats anormaux finissent par \u00eatre r\u00e9solus de fa\u00e7on beaucoup plus directe (comme c&#8217;est le cas ici, ou dans <a href=\"http:\/\/www.realclimate.org\/index.php\/archives\/2005\/08\/et-tu-lt\/\">l&#8217;incident du satellite MSU<\/a> il y a deux ans de cela)<\/li>\n<\/ul>\n<p>Les scientifiques qui travaillent dans un domaine donn\u00e9 se construisent une certaine intuition sur la fa\u00e7on dont les choses &#8220;fonctionnent&#8221;. Cette intuition peut venir des tripes, d&#8217;une compr\u00e9hension profonde de la th\u00e9orie, de r\u00e9sultats robustes de mod\u00e9lisations, d&#8217;une longue exp\u00e9rience de l&#8217;observation, etc. De nouveaux r\u00e9sultats qui tombent en dehors du cadre mettent souvent beaucoup de temps \u00e0 \u00eatre accept\u00e9s, mais s&#8217;ils sont solides et s&#8217;ils obtiennent un soutien cons\u00e9quent, ils finissent par \u00eatre int\u00e9gr\u00e9s. Mais l&#8217;intuition est aussi excellente pour d\u00e9tecter les r\u00e9sultats qui ne collent pas. Quand cela arrive, les scientifiques passent beaucoup de temps \u00e0 comprendre ce qui pourrait \u00eatre faux &#8211; les donn\u00e9es, l&#8217;analyse, le mod\u00e8le ou l&#8217;interpr\u00e9tation. D&#8217;une mani\u00e8re g\u00e9n\u00e9rale, cela paie de retenir son jugement jusqu&#8217;\u00e0 ce que ce processus soit achev\u00e9.<\/p>\n<p><\/lang_fr><\/p>\n<!-- kcite active, but no citations found -->\n<\/div> <!-- kcite-section 436 -->","protected":false},"excerpt":{"rendered":"<p>A lot has been made of a paper (Lyman et al, 2006) that appeared last year that claimed that the oceans had, contrary to expectation, cooled over the period 2003-2005. At the time, we (correctly) pointed out that this result was going to be hard to reconcile with continued increases in sea level rise (driven [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_exactmetrics_skip_tracking":false,"_exactmetrics_sitenote_active":false,"_exactmetrics_sitenote_note":"","_exactmetrics_sitenote_category":0,"_genesis_hide_title":false,"_genesis_hide_breadcrumbs":false,"_genesis_hide_singular_image":false,"_genesis_hide_footer_widgets":false,"_genesis_custom_body_class":"","_genesis_custom_post_class":"","_genesis_layout":"","footnotes":""},"categories":[1,9,19],"tags":[],"class_list":{"0":"post-436","1":"post","2":"type-post","3":"status-publish","4":"format-standard","6":"category-climate-science","7":"category-instrumental-record","8":"category-oceans","9":"entry"},"aioseo_notices":[],"post_mailing_queue_ids":[],"_links":{"self":[{"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/posts\/436","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/comments?post=436"}],"version-history":[{"count":4,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/posts\/436\/revisions"}],"predecessor-version":[{"id":24617,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/posts\/436\/revisions\/24617"}],"wp:attachment":[{"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/media?parent=436"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/categories?post=436"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.realclimate.org\/index.php\/wp-json\/wp\/v2\/tags?post=436"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}