{"id":1190,"date":"2016-05-19T15:44:08","date_gmt":"2016-05-19T13:44:08","guid":{"rendered":"http:\/\/beta.glodap.info\/?p=1190"},"modified":"2017-08-10T15:37:57","modified_gmt":"2017-08-10T13:37:57","slug":"update-2-2","status":"publish","type":"post","link":"https:\/\/glodap.info\/index.php\/2016\/05\/19\/update-2-2\/","title":{"rendered":"Update 2"},"content":{"rendered":"<p>During the review process of the earlier GLODAPv2 mapped climatologies, several improvements were made, as suggested by reviewers. The differences between the two archives (GLODAPv2 and GLODAPv2.2016b) available at this site are outlined below (excerpt from the Lauvset et al. (2016) ESSD paper). Further details are given in the paper.<\/p>\n<p>\u2022 An error in the GLODAPv2 grid is now fixed so that the fields align with the world topography and the grid is the same as that in GLODAPv1.1 and WOA.<\/p>\n<p>\u2022 The latitudinal boundary of the mapping domain was moved from 180\u00baE to 20\u00baE to minimize the effect of any boundary effects during mapping.<\/p>\n<p>\u2022 An additional smoothing across this boundary is added in post-processing.<\/p>\n<p>\u2022 The scheme for handling coordinate system transformation and scaling of the correlation length scale has changed. This means that for GLODAPv2.2016b we no longer used an advection constraint to ensure stronger correlation zonally, but manipulate the coordinate system to<br \/>\nscale the zonal CL to two times the meridional CL. Implicitly this means that every cell on the grid is equidistant and this leads to some spurious effects at very high latitudes (poleward of ~75\u00ba).<\/p>\n<p>\u2022 For the Arctic Ocean, because of its closeness to the northern boundary and the spurious effects encountered with the equidistant grid, we have applied an additional mask to remove boundary effects, and used alternative methods at depths greater than 1000 m (see section 2.5).<\/p>\n<p>\u2022 Due to time constraints, the \u201calmost exact\u201d error calculation has been replaced by the \u201cclever poor man\u2019s\u201d error calculation. Based on detailed studies of the Mediterranean Sea (Beckers et al., 2014) the latter tends to underestimate the error by ~25% compared to the real covariance (\u201ctrue\u201d) error calculation. The underestimation is not uniform though, and much larger in areas with high data density. In areas where observational data are more than one CL distant the clever poor man\u2019s error represents the true error well (Beckers et al., 2014).<\/p>\n<p>\u2022 We have manually masked some ocean regions where the errors are quite small but where we, based on our knowledge of spatial gradients and patterns of the ocean CO2 parameters, do not trust the results of the DIVA analysis. These areas include the Red Sea, the Gulf of Mexico, the Caribbean Sea, and parts of the Canadian Archipelago. There are also a very limited number of observations available in these regions.<\/p>\n<p>\u2022 GLODAPv2.2016b contains two additional parameters: Cant and TCO2preind.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>During the review process of the earlier GLODAPv2 mapped climatologies, several improvements were made, as suggested by reviewers. The differences between the two archives (GLODAPv2 and GLODAPv2.2016b) available at this site are outlined below (excerpt from the Lauvset et al. (2016) ESSD paper). Further details are given in the paper. \u2022 An error in the &hellip; <a href=\"https:\/\/glodap.info\/index.php\/2016\/05\/19\/update-2-2\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Update 2&#8221;<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[],"class_list":["post-1190","post","type-post","status-publish","format-standard","hentry","category-uncategorized"],"_links":{"self":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/1190","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/comments?post=1190"}],"version-history":[{"count":2,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/1190\/revisions"}],"predecessor-version":[{"id":1284,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/posts\/1190\/revisions\/1284"}],"wp:attachment":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/media?parent=1190"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/categories?post=1190"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/tags?post=1190"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}