{"id":1385,"date":"2017-09-06T14:06:06","date_gmt":"2017-09-06T12:06:06","guid":{"rendered":"http:\/\/beta.glodap.info\/?page_id=1385"},"modified":"2025-12-24T17:04:14","modified_gmt":"2025-12-24T16:04:14","slug":"mapped-data-product","status":"publish","type":"page","link":"https:\/\/glodap.info\/index.php\/mapped-data-product\/","title":{"rendered":"v2 (2016) Data Products"},"content":{"rendered":"
Before using GLODAPv2 data products, please read the
\nFair Data Use Statement<\/a><\/strong><\/h5>\n

Synthesis Files<\/h3>\n

The merged and adjusted GLODAPv2 (2016) data product, prepared as described in Lauvset et al. (2016) can be accessed in a variety of formats:<\/p>\n\n\n\n
\"\"<\/td>\n\n
.csv and .mat files<\/strong><\/h5>\n

Global and regional synthesis files are available as csv and mat files via the NOAA’s OCADS<\/a> (former CDIAC) National Centers for Environmental Information (NCEI) data archive. For the csv files, the file EXPOCODE.txt can be used for translating cruise number, as given in the data files, to cruise expocodes. For the mat files the expocodes are supplied in a cell array. Please refer to Olsen et al. (2016), Key et al. (2015) and the README file for further details on the content of these files.<\/p>\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n
<\/td>\nMain source (NCEI)<\/strong><\/td>\nGEOMAR Mirror (ZIPped CSV)<\/strong><\/td>\n<\/tr>\n
README.txt<\/td>\n4 Kb<\/a><\/td>\n4 Kb<\/a><\/td>\n<\/tr>\n
EXPOCODES.txt<\/td>\n12 Kb<\/a><\/td>\n12 Kb<\/a><\/td>\n<\/tr>\n
GLODAPv2.0_KnownIssues.txt<\/td>\n28 Kb<\/a><\/td>\n28 Kb<\/a><\/td>\n<\/tr>\n
Arctic Ocean<\/td>\nCSV<\/td>\n7.4 Mb<\/a><\/td>\n7.4 Mb<\/a><\/td>\n<\/tr>\n
MAT<\/td>\n9 Mb<\/a><\/td>\n9 Mb<\/a><\/td>\n<\/tr>\n
Atlantic Ocean<\/td>\nCSV<\/td>\n25 Mb<\/a><\/td>\n25 Mb<\/a><\/td>\n<\/tr>\n
MAT<\/td>\n30 Mb<\/a><\/td>\n30 Mb<\/a><\/td>\n<\/tr>\n
Indian Ocean<\/td>\nCSV<\/td>\n9.3 Mb<\/a><\/td>\n9.3 Mb<\/a><\/td>\n<\/tr>\n
MAT<\/td>\n11 Mb<\/a><\/td>\n11 Mb<\/a><\/td>\n<\/tr>\n
Pacific Ocean<\/td>\nCSV<\/td>\n25 Mb<\/a><\/td>\n25 Mb<\/a><\/td>\n<\/tr>\n
MAT<\/td>\n30 Mb<\/a><\/td>\n30 Mb<\/a><\/td>\n<\/tr>\n
Merged Master File<\/td>\nCSV<\/td>\n67 Mb<\/a><\/td>\n67 Mb<\/a><\/td>\n<\/tr>\n
MAT<\/td>\n80 Mb<\/a><\/td>\n80 Mb<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

Mapped Data Product files<\/h3>\n

The GLODAPv2 mapped product consists of gap-filled fields on a uniform 1\u00b0x1\u00b0 grid for 33 standard depth surfaces. The gap-filled fields are created using the DIVA software (https:\/\/github.com\/gher-ulg\/DIVA)<\/a> as described in Lauvset et al. (2016), and include error estimates. To limit discontinuities at the boundary the grid begins at 20\u00b0E, where the boundary falls mostly on land. <\/p>\n

The GLODAPv2 mapped product files are hosted by the NOAA’s OCADS<\/a> (former CDIAC) National Centers for Environmental Information (NCEI) data archive. Use the links below to obtain the latest version of the Mapped Data Product. Previous versions can be found at the bottom of this page.<\/p>\n\n\n\n
\n\"\"\n<\/td>\n\nREADME.txt<\/a> 3.9 Kb<\/p>\n

NOAA:
\nGLODAPv2.2016b_MappedClimatologies.tar.gz<\/a> 213 Mb<\/p>\n

GEOMAR Mirror:
\nGLODAPv2.2016b_MappedClimatologies.tar.gz<\/a> 213 Mb<\/p>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

<\/div>\n

Note<\/i>: For a nice piece of software to examine these gridded fields try Panoply (http:\/\/www.giss.nasa.gov\/tools\/panoply\/<\/a>).<\/p>\n

Previous versions<\/h5>\n

Below you can find the link to the original Mapped Data Product, prior to the improvements suggested by the reviewers. For more information about the GLODAPv2 versioning, please read Update 2<\/a>.<\/p>\n

GLODAPv2_Mapped_Climatology.tar.gz<\/a> 299 Mb<\/p>\n

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

Before using GLODAPv2 data products, please read the Fair Data Use Statement Synthesis Files The merged and adjusted GLODAPv2 (2016) data product, prepared as described in Lauvset et al. (2016) can be accessed in a variety of formats: .csv and .mat files Global and regional synthesis files are available as csv and mat files via … Continue reading “v2 (2016) Data Products”<\/span><\/a><\/p>\n","protected":false},"author":2,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-1385","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/pages\/1385","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/types\/page"}],"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=1385"}],"version-history":[{"count":22,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/pages\/1385\/revisions"}],"predecessor-version":[{"id":1915,"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/pages\/1385\/revisions\/1915"}],"wp:attachment":[{"href":"https:\/\/glodap.info\/index.php\/wp-json\/wp\/v2\/media?parent=1385"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}