Open Innovation and the Case for Community Model Development
Despite having the largest associated research community and a rapidly growing private sector, the lack of a well-coordinated national research and development effort for U.S. numerical weather prediction continues to impede our ability to utilize more of the scientific and technical capacity of the...
Gespeichert in:
| Veröffentlicht in: | Bulletin of the American Meteorological Society 2021-10, Vol.102 (10), p.E2002-E2011 |
|---|---|
| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | E2011 |
|---|---|
| container_issue | 10 |
| container_start_page | E2002 |
| container_title | Bulletin of the American Meteorological Society |
| container_volume | 102 |
| creator | Jacobs, Neil A. |
| description | Despite having the largest associated research community and a rapidly growing private sector, the lack of a well-coordinated national research and development effort for U.S. numerical weather prediction continues to impede our ability to utilize more of the scientific and technical capacity of the nation more efficiently. Over the last few years, considerable progress has been made toward developing a community-friendly Unified Forecast System (UFS) by embracing an open innovation approach that is mutually beneficial to the public, private, and academic sectors. Once fully implemented, the UFS has the potential to catalyze a significant increase in the efficacy of our nation’s weather, water, and climate science and prediction. |
| doi_str_mv | 10.1175/BAMS-D-21-0030.1 |
| format | Article |
| fullrecord | <record><control><sourceid>jstor_proqu</sourceid><recordid>TN_cdi_jstor_primary_27207700</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><jstor_id>27207700</jstor_id><sourcerecordid>27207700</sourcerecordid><originalsourceid>FETCH-LOGICAL-c335t-901866cba57857880721f63fa8392728ed8e6d831d21d5270043b071849ead513</originalsourceid><addsrcrecordid>eNqNkM9LwzAUx4MoOKd3L0LBo1TzkrZJwcvs_DHY2EE9h6xNsWNNapJO9t-bWvEsBJK8fD8vvA9Cl4BvAVh69zBbvcbzmECMMQ21IzSBlOAYJ4wdowkO1fCC2Sk6c247XCmHCbpfd0pHC63NXvrG6EjqKvIfKiqkU1FtbFSYtu114w_RylRqF83VXu1M1yrtz9FJLXdOXfzuU_T-9PhWvMTL9fOimC3jktLUxzkGnmXlRqaMh8UxI1BntJac5oQRriqusopTqAhUKWEYJ3SDGfAkV7JKgU7R9di3s-azV86LremtDl8KkrEkT4GkNKTwmCqtcc6qWnS2aaU9CMBicCQGR2IuCIjBkRga34zIl9qY2pWN0qX6wwZdBFhC8nACHNL8_-mi8T9CC9NrH9CrEd06b-wfE6bHLMxLvwGsZYEz</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2674951253</pqid></control><display><type>article</type><title>Open Innovation and the Case for Community Model Development</title><source>American Meteorological Society</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /></source><creator>Jacobs, Neil A.</creator><creatorcontrib>Jacobs, Neil A.</creatorcontrib><description>Despite having the largest associated research community and a rapidly growing private sector, the lack of a well-coordinated national research and development effort for U.S. numerical weather prediction continues to impede our ability to utilize more of the scientific and technical capacity of the nation more efficiently. Over the last few years, considerable progress has been made toward developing a community-friendly Unified Forecast System (UFS) by embracing an open innovation approach that is mutually beneficial to the public, private, and academic sectors. Once fully implemented, the UFS has the potential to catalyze a significant increase in the efficacy of our nation’s weather, water, and climate science and prediction.</description><identifier>ISSN: 0003-0007</identifier><identifier>EISSN: 1520-0477</identifier><identifier>DOI: 10.1175/BAMS-D-21-0030.1</identifier><language>eng</language><publisher>BOSTON: American Meteorological Society</publisher><subject>Climate prediction ; Climate science ; Innovation ; Innovations ; Laboratories ; Linux ; Meteorology & Atmospheric Sciences ; Numerical prediction ; Numerical weather forecasting ; Operating systems ; Physical Sciences ; Private sector ; R&D ; Research & development ; Science & Technology ; User services ; Weather forecasting</subject><ispartof>Bulletin of the American Meteorological Society, 2021-10, Vol.102 (10), p.E2002-E2011</ispartof><rights>2021 American Meteorological Society</rights><rights>Copyright American Meteorological Society Oct 2021</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>true</woscitedreferencessubscribed><woscitedreferencescount>15</woscitedreferencescount><woscitedreferencesoriginalsourcerecordid>wos000721742900010</woscitedreferencesoriginalsourcerecordid><citedby>FETCH-LOGICAL-c335t-901866cba57857880721f63fa8392728ed8e6d831d21d5270043b071849ead513</citedby><cites>FETCH-LOGICAL-c335t-901866cba57857880721f63fa8392728ed8e6d831d21d5270043b071849ead513</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>315,782,786,3683,27931,27932,39265</link.rule.ids></links><search><creatorcontrib>Jacobs, Neil A.</creatorcontrib><title>Open Innovation and the Case for Community Model Development</title><title>Bulletin of the American Meteorological Society</title><addtitle>B AM METEOROL SOC</addtitle><description>Despite having the largest associated research community and a rapidly growing private sector, the lack of a well-coordinated national research and development effort for U.S. numerical weather prediction continues to impede our ability to utilize more of the scientific and technical capacity of the nation more efficiently. Over the last few years, considerable progress has been made toward developing a community-friendly Unified Forecast System (UFS) by embracing an open innovation approach that is mutually beneficial to the public, private, and academic sectors. Once fully implemented, the UFS has the potential to catalyze a significant increase in the efficacy of our nation’s weather, water, and climate science and prediction.</description><subject>Climate prediction</subject><subject>Climate science</subject><subject>Innovation</subject><subject>Innovations</subject><subject>Laboratories</subject><subject>Linux</subject><subject>Meteorology & Atmospheric Sciences</subject><subject>Numerical prediction</subject><subject>Numerical weather forecasting</subject><subject>Operating systems</subject><subject>Physical Sciences</subject><subject>Private sector</subject><subject>R&D</subject><subject>Research & development</subject><subject>Science & Technology</subject><subject>User services</subject><subject>Weather forecasting</subject><issn>0003-0007</issn><issn>1520-0477</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>HGBXW</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><recordid>eNqNkM9LwzAUx4MoOKd3L0LBo1TzkrZJwcvs_DHY2EE9h6xNsWNNapJO9t-bWvEsBJK8fD8vvA9Cl4BvAVh69zBbvcbzmECMMQ21IzSBlOAYJ4wdowkO1fCC2Sk6c247XCmHCbpfd0pHC63NXvrG6EjqKvIfKiqkU1FtbFSYtu114w_RylRqF83VXu1M1yrtz9FJLXdOXfzuU_T-9PhWvMTL9fOimC3jktLUxzkGnmXlRqaMh8UxI1BntJac5oQRriqusopTqAhUKWEYJ3SDGfAkV7JKgU7R9di3s-azV86LremtDl8KkrEkT4GkNKTwmCqtcc6qWnS2aaU9CMBicCQGR2IuCIjBkRga34zIl9qY2pWN0qX6wwZdBFhC8nACHNL8_-mi8T9CC9NrH9CrEd06b-wfE6bHLMxLvwGsZYEz</recordid><startdate>20211001</startdate><enddate>20211001</enddate><creator>Jacobs, Neil A.</creator><general>American Meteorological Society</general><general>Amer Meteorological Soc</general><scope>BLEPL</scope><scope>DTL</scope><scope>HGBXW</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QH</scope><scope>7TG</scope><scope>7TN</scope><scope>7UA</scope><scope>7XB</scope><scope>88I</scope><scope>8AF</scope><scope>8FE</scope><scope>8FG</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>BKSAR</scope><scope>C1K</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>F1W</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>H96</scope><scope>HCIFZ</scope><scope>KL.</scope><scope>L.G</scope><scope>M2O</scope><scope>M2P</scope><scope>MBDVC</scope><scope>P5Z</scope><scope>P62</scope><scope>PATMY</scope><scope>PCBAR</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PYCSY</scope><scope>Q9U</scope><scope>R05</scope><scope>S0X</scope></search><sort><creationdate>20211001</creationdate><title>Open Innovation and the Case for Community Model Development</title><author>Jacobs, Neil A.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c335t-901866cba57857880721f63fa8392728ed8e6d831d21d5270043b071849ead513</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Climate prediction</topic><topic>Climate science</topic><topic>Innovation</topic><topic>Innovations</topic><topic>Laboratories</topic><topic>Linux</topic><topic>Meteorology & Atmospheric Sciences</topic><topic>Numerical prediction</topic><topic>Numerical weather forecasting</topic><topic>Operating systems</topic><topic>Physical Sciences</topic><topic>Private sector</topic><topic>R&D</topic><topic>Research & development</topic><topic>Science & Technology</topic><topic>User services</topic><topic>Weather forecasting</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Jacobs, Neil A.</creatorcontrib><collection>Web of Science Core Collection</collection><collection>Science Citation Index Expanded</collection><collection>Web of Science - Science Citation Index Expanded - 2021</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Aqualine</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Oceanic Abstracts</collection><collection>Water Resources Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Science Database (Alumni Edition)</collection><collection>STEM Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>eLibrary</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Earth, Atmospheric & Aquatic Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ASFA: Aquatic Sciences and Fisheries Abstracts</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources</collection><collection>SciTech Premium Collection</collection><collection>Meteorological & Geoastrophysical Abstracts - Academic</collection><collection>Aquatic Science & Fisheries Abstracts (ASFA) Professional</collection><collection>Research Library</collection><collection>Science Database</collection><collection>Research Library (Corporate)</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>Environmental Science Database</collection><collection>Earth, Atmospheric & Aquatic Science Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>Environmental Science Collection</collection><collection>ProQuest Central Basic</collection><collection>University of Michigan</collection><collection>SIRS Editorial</collection><jtitle>Bulletin of the American Meteorological Society</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Jacobs, Neil A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Open Innovation and the Case for Community Model Development</atitle><jtitle>Bulletin of the American Meteorological Society</jtitle><stitle>B AM METEOROL SOC</stitle><date>2021-10-01</date><risdate>2021</risdate><volume>102</volume><issue>10</issue><spage>E2002</spage><epage>E2011</epage><pages>E2002-E2011</pages><issn>0003-0007</issn><eissn>1520-0477</eissn><abstract>Despite having the largest associated research community and a rapidly growing private sector, the lack of a well-coordinated national research and development effort for U.S. numerical weather prediction continues to impede our ability to utilize more of the scientific and technical capacity of the nation more efficiently. Over the last few years, considerable progress has been made toward developing a community-friendly Unified Forecast System (UFS) by embracing an open innovation approach that is mutually beneficial to the public, private, and academic sectors. Once fully implemented, the UFS has the potential to catalyze a significant increase in the efficacy of our nation’s weather, water, and climate science and prediction.</abstract><cop>BOSTON</cop><pub>American Meteorological Society</pub><doi>10.1175/BAMS-D-21-0030.1</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0003-0007 |
| ispartof | Bulletin of the American Meteorological Society, 2021-10, Vol.102 (10), p.E2002-E2011 |
| issn | 0003-0007 1520-0477 |
| language | eng |
| recordid | cdi_jstor_primary_27207700 |
| source | American Meteorological Society; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Web of Science - Science Citation Index Expanded - 2021<img src="https://exlibris-pub.s3.amazonaws.com/fromwos-v2.jpg" /> |
| subjects | Climate prediction Climate science Innovation Innovations Laboratories Linux Meteorology & Atmospheric Sciences Numerical prediction Numerical weather forecasting Operating systems Physical Sciences Private sector R&D Research & development Science & Technology User services Weather forecasting |
| title | Open Innovation and the Case for Community Model Development |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-04T20%3A00%3A16IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-jstor_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Open%20Innovation%20and%20the%20Case%20for%20Community%20Model%20Development&rft.jtitle=Bulletin%20of%20the%20American%20Meteorological%20Society&rft.au=Jacobs,%20Neil%20A.&rft.date=2021-10-01&rft.volume=102&rft.issue=10&rft.spage=E2002&rft.epage=E2011&rft.pages=E2002-E2011&rft.issn=0003-0007&rft.eissn=1520-0477&rft_id=info:doi/10.1175/BAMS-D-21-0030.1&rft_dat=%3Cjstor_proqu%3E27207700%3C/jstor_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2674951253&rft_id=info:pmid/&rft_jstor_id=27207700&rfr_iscdi=true |