{"id":4232,"date":"2023-08-15T12:37:58","date_gmt":"2023-08-15T10:37:58","guid":{"rendered":"https:\/\/nersc.no\/?page_id=4232"},"modified":"2024-07-16T13:33:56","modified_gmt":"2024-07-16T11:33:56","slug":"software-packages-for-data-assimilation","status":"publish","type":"page","link":"https:\/\/nersc.no\/en\/products-and-services\/ocean-and-sea-ice\/software-packages-for-data-assimilation\/","title":{"rendered":"Software packages for data assimilation"},"content":{"rendered":"

[vc_section css=”.vc_custom_1669014075681{background-color: #ffffff !important;}” el_class=”full-image”][vc_row][vc_column]\n\t\t\t

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Software packages for data assimilation<\/h1><\/div>

We have data assimilation software packages available for free use.<\/p><\/div>[vc_column_text css=””]<\/p>\n

The assimilation package “DAPPER” – Data Assimilation with Python: a Package for Experimental Research – is easy to use. With this, different data assimilation methods can be compared, and are applicable both in research and for educational purposes.<\/p>\n

The software package “NEDAS” \u2013 Next-generation Data Assimilation System \u2013 allows researchers to test and develop new ideas for how to use data assimilation in geophysical models. The package offers a collection of different DA algorithms and allows researchers to compare new methods with already established methods.<\/p>\n

The program package “Fortran90 EnKF” is based on the Ensemble-Kalman filter method (EnKF), a unique data assimilation method developed at the Nansen Center. The package is tailored to large amounts of data for use in ocean models. At the Nansen Center, it is used when preparing forecasts for the ocean, sea ice, and climate.<\/p>\n

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For more information, contact research leader Laurent Bertino<\/strong><\/a>.<\/p>\n<\/div>[\/vc_column][vc_column width=”1\/6″][\/vc_column][\/vc_row][\/vc_section][vc_row][vc_column]

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Software<\/h2><\/div>
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For access to DAPPER, a tool to compare different data assimilation methods, go to GitHub<\/a><\/span><\/p><\/div>\t<\/div><\/div>

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Software<\/h2><\/div>
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For access to NEDAS, a tool to compare different data assimilation methods and to test new methods, go to GitHub<\/a><\/span><\/p><\/div>\t<\/div><\/div>

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Software<\/h2><\/div>
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For access to Fortran90 EnKF, a tool for assimilating data into models, go to GitHub<\/a><\/span><\/p><\/div>\t<\/div><\/div>[\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"

[vc_section css=”.vc_custom_1669014075681{background-color: #ffffff !important;}” el_class=”full-image”][vc_row][vc_column][\/vc_column][\/vc_row][vc_row][vc_column width=”1\/6″][\/vc_column][vc_column width=”2\/3″][vc_column_text css=””] The assimilation package “DAPPER” – Data Assimilation with Python: a Package for Experimental Research – is easy to use. With this, different data assimilation methods can be compared, and are applicable both in research and for educational purposes. The software package “NEDAS” \u2013 Next-generation Data Assimilation System […]<\/p>\n","protected":false},"author":4,"featured_media":0,"parent":4211,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"_acf_changed":false,"_relevanssi_hide_post":"","_relevanssi_hide_content":"","_relevanssi_pin_for_all":"","_relevanssi_pin_keywords":"","_relevanssi_unpin_keywords":"","_relevanssi_related_keywords":"","_relevanssi_related_include_ids":"","_relevanssi_related_exclude_ids":"","_relevanssi_related_no_append":"","_relevanssi_related_not_related":"","_relevanssi_related_posts":"","_relevanssi_noindex_reason":"","footnotes":""},"class_list":["post-4232","page","type-page","status-publish","hentry"],"acf":[],"publishpress_future_action":{"enabled":false,"date":"2026-04-26 08:44:43","action":"change-status","newStatus":"draft","terms":[],"taxonomy":"translation_priority","extraData":[]},"publishpress_future_workflow_manual_trigger":{"enabledWorkflows":[]},"_links":{"self":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/pages\/4232","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/users\/4"}],"replies":[{"embeddable":true,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/comments?post=4232"}],"version-history":[{"count":10,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/pages\/4232\/revisions"}],"predecessor-version":[{"id":6802,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/pages\/4232\/revisions\/6802"}],"up":[{"embeddable":true,"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/pages\/4211"}],"wp:attachment":[{"href":"https:\/\/nersc.no\/en\/wp-json\/wp\/v2\/media?parent=4232"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}