S-SOM v1.0: a structural self-organizing map algorithm for weather typing
This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data with spatial or temporal structures. In detail, the search scheme for the best matching unit (B...
Saved in:
| Published in | Geoscientific Model Development Vol. 14; no. 4; pp. 2097 - 2111 |
|---|---|
| Main Authors | , , , |
| Format | Journal Article |
| Language | English |
| Published |
Katlenburg-Lindau
Copernicus GmbH
22.04.2021
Copernicus Publications |
| Subjects | |
| Online Access | Get full text |
| ISSN | 1991-9603 1991-959X 1991-962X 1991-9603 1991-962X |
| DOI | 10.5194/gmd-14-2097-2021 |
Cover
| Abstract | This study proposes a novel structural self-organizing
map (S-SOM) algorithm for synoptic weather typing. A novel feature of the
S-SOM compared with traditional SOMs is its ability to deal with input data
with spatial or temporal structures. In detail, the search scheme for the
best matching unit (BMU) in a S-SOM is built based on a structural
similarity (S-SIM) index rather than by using the traditional Euclidean
distance (ED). S-SIM enables the BMU search to consider the correlation in
space between weather states, such as the locations of highs or lows, that is impossible when using ED. The S-SOM performance is evaluated by multiple
demo simulations of clustering weather patterns over Japan using the
ERA-Interim sea-level pressure data. The results show the S-SOM's
superiority compared with a standard SOM with ED (or ED-SOM) in two
respects: clustering quality based on silhouette analysis and topological
preservation based on topological error. Better performance of S-SOM versus
ED is consistent with results from different tests and node-size
configurations. S-SOM performs better than a SOM using the Pearson
correlation coefficient (or COR-SOM), though the difference is not as clear as it is compared to ED-SOM. |
|---|---|
| AbstractList | This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data with spatial or temporal structures. In detail, the search scheme for the best matching unit (BMU) in a S-SOM is built based on a structural similarity (S-SIM) index rather than by using the traditional Euclidean distance (ED). S-SIM enables the BMU search to consider the correlation in space between weather states, such as the locations of highs or lows, that is impossible when using ED. The S-SOM performance is evaluated by multiple demo simulations of clustering weather patterns over Japan using the ERA-Interim sea-level pressure data. The results show the S-SOM's superiority compared with a standard SOM with ED (or ED-SOM) in two respects: clustering quality based on silhouette analysis and topological preservation based on topological error. Better performance of S-SOM versus ED is consistent with results from different tests and node-size configurations. S-SOM performs better than a SOM using the Pearson correlation coefficient (or COR-SOM), though the difference is not as clear as it is compared to ED-SOM. This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with traditional SOMs is its ability to deal with input data with spatial or temporal structures. In detail, the search scheme for the best matching unit (BMU) in a S-SOM is built based on a structural similarity (S-SIM) index rather than by using the traditional Euclidean distance (ED). S-SIM enables the BMU search to consider the correlation in space between weather states, such as the locations of highs or lows, that is impossible when using ED. The S-SOM performance is evaluated by multiple demo simulations of clustering weather patterns over Japan using the ERA-Interim sea-level pressure data. The results show the S-SOM's superiority compared with a standard SOM with ED (or ED-SOM) in two respects: clustering quality based on silhouette analysis and topological preservation based on topological error. Better performance of S-SOM versus ED is consistent with results from different tests and node-size configurations. S-SOM performs better than a SOM using the Pearson correlation coefficient (or COR-SOM), though the difference is not as clear as it is compared to ED-SOM. |
| Audience | Academic |
| Author | Sato, Takuto Chen, Fei Kusaka, Hiroyuki Doan, Quang-Van |
| Author_xml | – sequence: 1 givenname: Quang-Van orcidid: 0000-0002-2794-5309 surname: Doan fullname: Doan, Quang-Van – sequence: 2 givenname: Hiroyuki surname: Kusaka fullname: Kusaka, Hiroyuki – sequence: 3 givenname: Takuto surname: Sato fullname: Sato, Takuto – sequence: 4 givenname: Fei surname: Chen fullname: Chen, Fei |
| BookMark | eNqFkcuLFDEQxoOs4D68e2zw5KHHVD-Sjrdl8TGwsuDoOVSnk94M3Z02SbuOf70ZZ3EdEZdAKhS_76Pqyxk5mdykCXkBdFWDqF73Y5dDlRdU8HQV8IScghCQC0bLkz_ez8hZCFtKmeCMn5L1Jt_cfMy-wYq-yTAL0S8qLh6HLOjB5M73ONkfduqzEecMh955G2_HzDif3WmMt9pncTcn4II8NTgE_fy-npMv795-vvqQX9-8X19dXueqFjTmJdOcc0aLRrepUI5CNaYBVnJTQV1z3aBoRNUCbRhvC1ClgY4yLgpBTdGV52R98O0cbuXs7Yh-Jx1a-auRJpboo1WDli3vOlMw2jatqfYrpwZXyVlwbbDVyQsOXss04-4Oh-G3IVC5z1WmXCVUcp-r3OeaNC8Pmtm7r4sOUW7d4qe0sixqYNAIKtgD1WMaxE7GRY9qtEHJS1aLsiqB8USt_kGl0-nRqvTBxqb-keDVkSAxUX-PPS4hyPXm0zHLDqzyLgSvjVQ2YrRJ4tEO_9uQ_iV8NJSfyD3CQQ |
| CitedBy_id | crossref_primary_10_1007_s00382_022_06163_x crossref_primary_10_1016_j_rser_2023_113188 crossref_primary_10_5194_gmd_14_2097_2021 crossref_primary_10_1002_joc_8524 crossref_primary_10_1007_s00382_024_07213_2 crossref_primary_10_2151_jmsj_2025_016 crossref_primary_10_1007_s00382_025_07624_9 crossref_primary_10_5194_hess_26_4741_2022 crossref_primary_10_1016_j_wace_2022_100523 crossref_primary_10_1088_1748_9326_aca2c2 crossref_primary_10_1007_s00382_021_06052_9 crossref_primary_10_1007_s00382_024_07385_x crossref_primary_10_3390_s23187925 crossref_primary_10_5194_acp_24_6539_2024 crossref_primary_10_5194_gmd_16_2215_2023 crossref_primary_10_1029_2022EA002373 crossref_primary_10_3390_w13233457 crossref_primary_10_1016_j_asr_2025_01_062 |
| Cites_doi | 10.1007/s00382-014-2169-6 10.1002/2015GL067478 10.1177/0309133310397582 10.1038/nature14550 10.1109/MSP.2008.930649 10.1139/cjfr-2017-0063 10.1002/2016JD026256 10.1175/MWR-D-17-0040.1 10.1175/2009JCLI2972.1 10.3390/atmos9110423 10.1016/j.jhydrol.2014.07.036 10.1007/978-3-642-46466-9_17 10.1002/qj.828 10.1016/0377-0427(87)90125-7 10.1002/joc.4604 10.1002/asl.759 10.1007/s00382-018-4374-1 10.1175/JHM-D-13-0140.1 10.1002/2016JD025164 10.1002/jgrd.50688 10.1016/j.neucom.2010.07.037 10.1175/WAF-D-18-0122.1 10.1002/asl.981 10.5194/gmd-14-2097-2021 10.1109/TSMCB.2003.810442 10.1109/TIP.2003.819861 |
| ContentType | Journal Article |
| Copyright | COPYRIGHT 2021 Copernicus GmbH 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| Copyright_xml | – notice: COPYRIGHT 2021 Copernicus GmbH – notice: 2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. |
| DBID | AAYXX CITATION ISR 7TG 7TN 7UA 8FD 8FE 8FG ABJCF ABUWG AEUYN AFKRA AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR C1K CCPQU DWQXO F1W H8D H96 HCIFZ KL. L.G L6V L7M M7S PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PTHSS ADTOC UNPAY DOA |
| DOI | 10.5194/gmd-14-2097-2021 |
| DatabaseName | CrossRef Gale In Context: Science Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Water Resources Abstracts Technology Research Database ProQuest SciTech Collection ProQuest Technology Collection Materials Science & Engineering Collection ProQuest Central (Alumni) ProQuest One Sustainability ProQuest Central ProQuest Central Essentials ProQuest Central Continental Europe Database Technology Collection (via ProQuest SciTech Premium Collection) Natural Science Collection Earth, Atmospheric & Aquatic Science Collection Environmental Sciences and Pollution Management ProQuest One Community College ProQuest Central Korea ASFA: Aquatic Sciences and Fisheries Abstracts Aerospace Database Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources SciTech Premium Collection Meteorological & Geoastrophysical Abstracts - Academic Aquatic Science & Fisheries Abstracts (ASFA) Professional ProQuest Engineering Collection Advanced Technologies Database with Aerospace Engineering Database Earth, Atmospheric & Aquatic Science Database ProQuest Central Premium ProQuest One Academic Publicly Available Content Database (Proquest) ProQuest One Academic Middle East (New) ProQuest One Academic Eastern Edition (DO NOT USE) ProQuest One Applied & Life Sciences ProQuest One Academic ProQuest One Academic UKI Edition Engineering collection Unpaywall for CDI: Periodical Content Unpaywall DOAJ Directory of Open Access Journals |
| DatabaseTitle | CrossRef Publicly Available Content Database Aquatic Science & Fisheries Abstracts (ASFA) Professional Technology Collection Technology Research Database ProQuest One Academic Middle East (New) ProQuest Central Essentials ProQuest Central (Alumni Edition) SciTech Premium Collection ProQuest One Community College Water Resources Abstracts Environmental Sciences and Pollution Management Earth, Atmospheric & Aquatic Science Collection ProQuest Central ProQuest One Applied & Life Sciences Aerospace Database ProQuest One Sustainability ProQuest Engineering Collection Meteorological & Geoastrophysical Abstracts Oceanic Abstracts Natural Science Collection ProQuest Central Korea ProQuest Central (New) Advanced Technologies Database with Aerospace Engineering Collection Engineering Database ProQuest One Academic Eastern Edition Earth, Atmospheric & Aquatic Science Database ProQuest Technology Collection Continental Europe Database ProQuest SciTech Collection Aquatic Science & Fisheries Abstracts (ASFA) 2: Ocean Technology, Policy & Non-Living Resources ProQuest One Academic UKI Edition ASFA: Aquatic Sciences and Fisheries Abstracts Materials Science & Engineering Collection ProQuest One Academic Meteorological & Geoastrophysical Abstracts - Academic ProQuest One Academic (New) |
| DatabaseTitleList | Publicly Available Content Database CrossRef |
| Database_xml | – sequence: 1 dbid: DOA name: DOAJ url: https://www.doaj.org/ sourceTypes: Open Website – sequence: 2 dbid: UNPAY name: Unpaywall url: https://proxy.k.utb.cz/login?url=https://unpaywall.org/ sourceTypes: Open Access Repository – sequence: 3 dbid: 8FG name: ProQuest Technology Collection url: https://search.proquest.com/technologycollection1 sourceTypes: Aggregation Database |
| DeliveryMethod | fulltext_linktorsrc |
| Discipline | Geology |
| EISSN | 1991-9603 1991-962X |
| EndPage | 2111 |
| ExternalDocumentID | oai_doaj_org_article_b7ddf260b8bf40069b7d7cb1097efabe 10.5194/gmd-14-2097-2021 A659343167 10_5194_gmd_14_2097_2021 |
| GeographicLocations | Japan |
| GeographicLocations_xml | – name: Japan |
| GroupedDBID | 5VS 8R4 8R5 AAFWJ AAYXX ABDBF ACUHS ADBBV AENEX AFPKN AHGZY ALMA_UNASSIGNED_HOLDINGS BCNDV CITATION ESX GROUPED_DOAJ H13 IAO IEA IEP ISR ITC KQ8 OK1 P2P Q2X RKB RNS TR2 TUS 7TG 7TN 7UA 8FD 8FE 8FG 8FH ABJCF ABUWG AEUYN AFKRA AZQEC BENPR BFMQW BGLVJ BHPHI BKSAR BPHCQ C1K CCPQU DWQXO F1W H8D H96 HCIFZ KL. L.G L6V L7M LK5 M7R M7S PCBAR PHGZM PHGZT PIMPY PKEHL PQEST PQGLB PQQKQ PQUKI PROAC PTHSS ADTOC C1A IPNFZ RIG UNPAY |
| ID | FETCH-LOGICAL-c590t-36e7776028eb76007a9c8f81637f41557e8a9894b10867b21c3f1d0679290f2d3 |
| IEDL.DBID | DOA |
| ISSN | 1991-9603 1991-959X 1991-962X |
| IngestDate | Fri Oct 03 12:51:07 EDT 2025 Sun Oct 26 03:06:51 EDT 2025 Fri Jul 25 12:26:06 EDT 2025 Mon Oct 20 22:29:20 EDT 2025 Mon Oct 20 16:00:42 EDT 2025 Thu Oct 16 14:14:03 EDT 2025 Thu Apr 24 23:09:51 EDT 2025 Tue Jul 01 03:33:01 EDT 2025 |
| IsDoiOpenAccess | true |
| IsOpenAccess | true |
| IsPeerReviewed | true |
| IsScholarly | true |
| Issue | 4 |
| Language | English |
| License | https://creativecommons.org/licenses/by/4.0 cc-by |
| LinkModel | DirectLink |
| MergedId | FETCHMERGED-LOGICAL-c590t-36e7776028eb76007a9c8f81637f41557e8a9894b10867b21c3f1d0679290f2d3 |
| Notes | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 |
| ORCID | 0000-0002-2794-5309 |
| OpenAccessLink | https://doaj.org/article/b7ddf260b8bf40069b7d7cb1097efabe |
| PQID | 2516189096 |
| PQPubID | 105726 |
| PageCount | 15 |
| ParticipantIDs | doaj_primary_oai_doaj_org_article_b7ddf260b8bf40069b7d7cb1097efabe unpaywall_primary_10_5194_gmd_14_2097_2021 proquest_journals_2516189096 gale_infotracmisc_A659343167 gale_infotracacademiconefile_A659343167 gale_incontextgauss_ISR_A659343167 crossref_citationtrail_10_5194_gmd_14_2097_2021 crossref_primary_10_5194_gmd_14_2097_2021 |
| ProviderPackageCode | CITATION AAYXX |
| PublicationCentury | 2000 |
| PublicationDate | 2021-04-22 |
| PublicationDateYYYYMMDD | 2021-04-22 |
| PublicationDate_xml | – month: 04 year: 2021 text: 2021-04-22 day: 22 |
| PublicationDecade | 2020 |
| PublicationPlace | Katlenburg-Lindau |
| PublicationPlace_xml | – name: Katlenburg-Lindau |
| PublicationTitle | Geoscientific Model Development |
| PublicationYear | 2021 |
| Publisher | Copernicus GmbH Copernicus Publications |
| Publisher_xml | – name: Copernicus GmbH – name: Copernicus Publications |
| References | ref13 ref12 ref15 ref14 ref11 ref10 ref2 ref1 ref17 ref16 ref19 ref18 ref24 ref23 ref26 ref25 ref20 ref22 ref21 ref27 ref8 ref7 ref9 ref4 ref3 ref6 ref5 |
| References_xml | – ident: ref13 doi: 10.1007/s00382-014-2169-6 – ident: ref25 doi: 10.1002/2015GL067478 – ident: ref24 doi: 10.1177/0309133310397582 – ident: ref9 doi: 10.1038/nature14550 – ident: ref26 doi: 10.1109/MSP.2008.930649 – ident: ref12 doi: 10.1139/cjfr-2017-0063 – ident: ref7 doi: 10.1002/2016JD026256 – ident: ref8 doi: 10.1175/MWR-D-17-0040.1 – ident: ref1 doi: 10.1175/2009JCLI2972.1 – ident: ref20 doi: 10.3390/atmos9110423 – ident: ref3 doi: 10.1016/j.jhydrol.2014.07.036 – ident: ref11 doi: 10.1007/978-3-642-46466-9_17 – ident: ref4 doi: 10.1002/qj.828 – ident: ref21 doi: 10.1016/0377-0427(87)90125-7 – ident: ref6 doi: 10.1002/joc.4604 – ident: ref18 doi: 10.1002/asl.759 – ident: ref19 doi: 10.1007/s00382-018-4374-1 – ident: ref16 doi: 10.1175/JHM-D-13-0140.1 – ident: ref15 doi: 10.1002/2016JD025164 – ident: ref2 doi: 10.1002/jgrd.50688 – ident: ref22 doi: 10.1016/j.neucom.2010.07.037 – ident: ref17 doi: 10.1175/WAF-D-18-0122.1 – ident: ref14 doi: 10.1002/asl.981 – ident: ref5 doi: 10.5194/gmd-14-2097-2021 – ident: ref10 – ident: ref23 doi: 10.1109/TSMCB.2003.810442 – ident: ref27 doi: 10.1109/TIP.2003.819861 |
| SSID | ssj0069767 ssj0069768 |
| Score | 2.398287 |
| Snippet | This study proposes a novel structural self-organizing
map (S-SOM) algorithm for synoptic weather typing. A novel feature of the
S-SOM compared with... This study proposes a novel structural self-organizing map (S-SOM) algorithm for synoptic weather typing. A novel feature of the S-SOM compared with... |
| SourceID | doaj unpaywall proquest gale crossref |
| SourceType | Open Website Open Access Repository Aggregation Database Enrichment Source Index Database |
| StartPage | 2097 |
| SubjectTerms | Algorithms Climate Clustering Comparative analysis Configuration management Correlation coefficient Correlation coefficients Euclidean geometry Laboratories Neighborhoods Performance evaluation Pressure data Pressure distribution Sea level Sea level pressure Self organizing maps Signal processing Spatial data Time series Topology Typing Weather Weather forecasting Weather patterns |
| SummonAdditionalLinks | – databaseName: ProQuest Central dbid: BENPR link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwhV3da9RAEB_qFVEfxE9MrbKIIArhks0mmwgirbS2Qk_pWbi3ZXezez7kclfuSjn_emfycfYQ6ksgySQkk9mZ32R2fwPwtpSxFRj5aNqgDwUXOtSRJmeYiFRgzLANgenZKDu5EN8m6WQHRv1aGJpW2fvExlGXc0v_yIcYh7M4LxBxf15chtQ1iqqrfQsN3bVWKD81FGN3YJcTM9YAdg-PRj_Oe9-cYfCVN3ealXI0-afI-KStYiKkEcPprAxjgSZUSNzweCtqNeT-_7rwB3Dvql7o9bWuqhsx6vgRPOzAJTtoreEx7Lj6Cdz92jTvXT-F03E4_n7GMGGNPjLNWupYot1gS1f5sG3w9BtjGZvpBdPVFN9_9WvGENey6xYqstWaFlg9g4vjo59fTsKulUJo0yJahUnmpJQZgglnqBQndWFznyMYk54ghXS5Jip2Q42XpOGxTXxc0k8mXkSel8lzGNTz2r0AlltuMa2KkkQ2fGE68mVsitQZK2PhZADDXlXKdjzj1O6iUphvkHIVKhczDkXKVaTcAN5vrli0HBu3yB6S9jdyxI7dHEAdqW6wKSPL0mOiZnLjBX1oPCCtoWK789q4AN7Qt1PEf1HTBJupvlou1en4XB1kaZE09AABvOuE_Byf3-puvQJqgSiztiT3tyRxgNrt072JqM5BLNVfcw7gw8Zs_vv6e7ff6yXcJymqdnG-DwO0I_cKQdPKvO5Gwh9NIQ02 priority: 102 providerName: ProQuest – databaseName: Unpaywall dbid: UNPAY link: http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fb9MwELZGJwQ88BtRGMhCSAgkd3HixAlvBW1sSBuIUqk8WbZjl4k0rZZUU_fXc5ekFWUSCPHUyr1U8fni-y53_o6Ql7nkVoDnw7JBz0QoNNOBxs0wErEAn2EbAtOT0-RoLD5O4skOOVifhZnO8gEexzgvz-yyaomCuwqxfS4gVM8kxuscBRkXDAcYDgwWub9GdpMYIHmP7I5PPw-_NRnljLMsziab70kQtelKwC7iyt9suaeGxf_qXn2L3FiWC7260EXxizM6vNMWjVQNhyHWoPwYLGszsJe_MTz-9zzvktsdXKXD9qJ7ZMeV98n1D0074NUDcjxio08nFELg4C3VtCWjRSIPWrnCs7Zl1CV4RzrTC6qL6fz8rP4-o4CU6UULPmm9wiNbD8n48ODr-yPWNWdgNs6CmkWJk1ImAE-cweSe1JlNfQrwTnoEKdKlGsndDbZykibkNvI8x9dWYRb4MI8ekV45L91jQlMbWgjUgiiSDQOZDnzOTRY7YyUXTvbJ_npNlO2Yy7GBRqEggsFVVKAkiGEUKkmhkvrk9eaKRcva8QfZd7jMGznk224GQEeqWxNlZJ57CP1MarxAdmcYkNZg-t55bVyfvEAjUcioUWLJzlQvq0odj76oIZhk1BAO9MmrTsjP4f6t7k5AgBaQhGtLcm9LEh55u_3z2hZVt-VUCoBqwtMMQtI-ebOxz79O_8m_CD8lN_EDs2lhuEd6YFXuGYCy2jzvHrmfWL0pww priority: 102 providerName: Unpaywall |
| Title | S-SOM v1.0: a structural self-organizing map algorithm for weather typing |
| URI | https://www.proquest.com/docview/2516189096 https://gmd.copernicus.org/articles/14/2097/2021/gmd-14-2097-2021.pdf https://doaj.org/article/b7ddf260b8bf40069b7d7cb1097efabe |
| UnpaywallVersion | publishedVersion |
| Volume | 14 |
| hasFullText | 1 |
| inHoldings | 1 |
| isFullTextHit | |
| isPrint | |
| journalDatabaseRights | – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069767 issn: 1991-9603 databaseCode: KQ8 dateStart: 20080101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAFT databaseName: Open Access Digital Library customDbUrl: eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069768 issn: 1991-9603 databaseCode: KQ8 dateStart: 20080101 isFulltext: true titleUrlDefault: http://grweb.coalliance.org/oadl/oadl.html providerName: Colorado Alliance of Research Libraries – providerCode: PRVAON databaseName: DOAJ customDbUrl: eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069767 issn: 1991-9603 databaseCode: DOA dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.doaj.org/ providerName: Directory of Open Access Journals – providerCode: PRVEBS databaseName: EBSCOhost Academic Search Ultimate customDbUrl: https://search.ebscohost.com/login.aspx?authtype=ip,shib&custid=s3936755&profile=ehost&defaultdb=asn eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069767 issn: 1991-9603 databaseCode: ABDBF dateStart: 20090701 isFulltext: true titleUrlDefault: https://search.ebscohost.com/direct.asp?db=asn providerName: EBSCOhost – providerCode: PRVPQU databaseName: Continental Europe Database customDbUrl: eissn: 1991-9603 dateEnd: 99991231 omitProxy: false ssIdentifier: ssj0069768 issn: 1991-9603 databaseCode: BFMQW dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/conteurope providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Central customDbUrl: http://www.proquest.com/pqcentral?accountid=15518 eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069768 issn: 1991-9603 databaseCode: BENPR dateStart: 20080101 isFulltext: true titleUrlDefault: https://www.proquest.com/central providerName: ProQuest – providerCode: PRVPQU databaseName: ProQuest Technology Collection customDbUrl: eissn: 1991-9603 dateEnd: 99991231 omitProxy: true ssIdentifier: ssj0069768 issn: 1991-9603 databaseCode: 8FG dateStart: 20080101 isFulltext: true titleUrlDefault: https://search.proquest.com/technologycollection1 providerName: ProQuest |
| link | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwrV3fi9NAEB70RNQH8SdGz7KIIAqh-bHJZn1r9Xp3wtXjaqE-Lbub3Sq0abE9jvrXO5Ok5YrgvfiSkGRaNl9nd77p7n4D8LYUseUY-WjZoA95wnWoI02DYcozjjHD1gKmZ8P8ZMy_TLLJtVJftCaskQdugOsaUZYeSbcpjOekq4s3hDU0ceq8No5G36iQ22SqGYNzDLJ1WRVa1yMzOWkmKJGt8O50XoYxR--QAg9JvBeQat3-v0fnB3DvslrqzZWeza6Fn8EjeNjyRtZr2vsYbrnqCdw9ruvybp7C6SgcfT1jmItGH5lmjSosKWqwlZv5sKnd9BvDFJvrJdOz6eLXz_WPOUPKyq4aFsjWG9o79QzGg6Nvn07CtkpCaDMZrcM0d0KIHHmCMzTLJrS0hS-QZwlPbEG4QpPKuqGaSsIksU19XNL_R4mMfFKmz-GgWlTuBbDCJhYzpihNRS0FpiNfxkZmzlgRcycC6G6hUraVEKdKFjOFqQSBqxBcTCYUgasI3ADe7z6xbOQz_mHbJ_R3diR8Xd9AjFTrDuomdwjgDf12iqQtKlo7M9WXq5U6HV2oXp7JtN75H8C71sgvsP1Wt1sREAVSw9qzPNyzxL5n9x9vXUS1fX-lkDHmcSExNwzgw85tbnz9l__j9V_Bffoumu5KkkM4QG9zr5E1rU0HbheD4w7c6fU_9wd47h8Nzy86dbfBq_HwvPf9Dwf6E5Y |
| linkProvider | Directory of Open Access Journals |
| linkToHtml | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwtV3db9MwED-NTWjwgPgUhQEWAiGQoiaOGydIE9pgo2XrQOsm9c3Yjl0e-oXaqSp_HH8bd_koq5DG014iJb1E6fl8v7uc_TuAV7mMrEDko2WDPhBc6ECHmpxhLFoCMcMWBKbdk6R9Lr70W_0N-F3vhaFllbVPLBx1PrH0jbyJOJxEaYYR94fpz4C6RlF1tW6hoavWCvluQTFWbew4cssFpnCz3c4nHO_XnB8enH1sB1WXgcC2snAexImTUiaIs85QlUrqzKY-xThFekJb6VJNLOWGehJJwyMb-yin7y88Cz3PY3zuDdgSscgw-dvaPzj5dlpjQYJgLy-fFDvzaLFRlvB-WTXFEEo0B6M8iASabCbxwKM1lCyaCfwLGbdh-2I81cuFHg4vYeLhXbhTBbNsr7S-e7Dhxvfh5ueiWfDyAXR6Qe9rl2GCHL5nmpVUtUTzwWZu6IOyodQvxE420lOmhwPU9_zHiGEczRZlaMrmS9rQ9RDOr0Wpj2BzPBm7x8BSyy2mcWEcy4KfTIc-j0zWcsbKSDjZgGatKmUrXnNqrzFUmN-QchUqFzMcRcpVpNwGvF3dMS05Pa6Q3Sftr-SIjbu4gDpS1eRWRua5x8TQpMYLGmi8IK2h4r7z2rgGvKSxU8S3MaYFPQN9MZupTu9U7SWtLC7oCBrwphLyE3x_q6v9EagFouhak9xZk0SHYNd_rk1EVQ5ppv5Onwa8W5nNf__-k6uf9QK222fdY3XcOTl6CrfoDqq0cb4Dm2hT7hkGbHPzvJoVDL5f90T8A_BWRzg |
| linkToPdf | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMw1V1bb9MwFD4anbg9cEcUBlgIhEDKmjhpnCAhtDHKyti4lIm-Gduxi0RvqK2q7qfxV_gznJNLWUEaT3vgJVJSJ4rdz-c7Jz7-DsDDTAQmQuajtEHnRTxSnvIVGcMwakbIGSYXMN0_iHcPozfdZncNflR7YSitsrKJuaHORoa-kTeQh-MgSdHjbrgyLeL9TuvF-LtHFaRopbUqp1FAZM8u5hi-TZ63d_C_fsR569Wnl7teWWHAM83Un3phbIUQMXKs1bRCJVRqEpegjyIcMa2wiSKFck31iITmgQldkNG3F576jmchPvcMrCckglaD9e3W_ofPFQ_ESPTi-Em-K48SjdKYd4sVU3SfokZvkHlBhHBNBR54sMKQeSGBv-niIpyfDcdqMVf9_jE-bF2Gn9VIFmkw3zZnU71pjv4Qmfw_h_oKXCrddLZVzKursGaH1-Ds67wM8uI6tDte590-w9Dff8YUK0R4ScCETWzfeUWprCP0CthAjZnq97BL068DhhECmxdON5suaKvaDTg8lX7chNpwNLS3gCWGGwxQ_TAUufKa8l0W6LRptRFBZEUdGhUQpCkV26lwSF9i5EbQkQgdjN0kQUcSdOrwZHnHuFArOaHtNmFr2Y50xvMLOEayNFtSiyxzGPLqRLuIYIwXhNGUtmCd0rYODwiZkpREhgSUnppNJrLd-Si34mYa5kILdXhcNnIjfH-jyp0fOAokPrbScmOlJZo6s_pzBVhZmtqJ_I3WOjxdTop_dv_2yc-6D-cQ8_Jt-2DvDlygG2gJkfMNqCGk7F30RKf6XjnlGXw5bej_AjeRjFE |
| linkToUnpaywall | http://utb.summon.serialssolutions.com/2.0.0/link/0/eLvHCXMwpV3fb9MwELZGJwQ88BtRGMhCSAgkd3HixAlvBW1sSBuIUqk8WbZjl4k0rZZUU_fXc5ekFWUSCPHUyr1U8fni-y53_o6Ql7nkVoDnw7JBz0QoNNOBxs0wErEAn2EbAtOT0-RoLD5O4skOOVifhZnO8gEexzgvz-yyaomCuwqxfS4gVM8kxuscBRkXDAcYDgwWub9GdpMYIHmP7I5PPw-_NRnljLMsziab70kQtelKwC7iyt9suaeGxf_qXn2L3FiWC7260EXxizM6vNMWjVQNhyHWoPwYLGszsJe_MTz-9zzvktsdXKXD9qJ7ZMeV98n1D0074NUDcjxio08nFELg4C3VtCWjRSIPWrnCs7Zl1CV4RzrTC6qL6fz8rP4-o4CU6UULPmm9wiNbD8n48ODr-yPWNWdgNs6CmkWJk1ImAE-cweSe1JlNfQrwTnoEKdKlGsndDbZykibkNvI8x9dWYRb4MI8ekV45L91jQlMbWgjUgiiSDQOZDnzOTRY7YyUXTvbJ_npNlO2Yy7GBRqEggsFVVKAkiGEUKkmhkvrk9eaKRcva8QfZd7jMGznk224GQEeqWxNlZJ57CP1MarxAdmcYkNZg-t55bVyfvEAjUcioUWLJzlQvq0odj76oIZhk1BAO9MmrTsjP4f6t7k5AgBaQhGtLcm9LEh55u_3z2hZVt-VUCoBqwtMMQtI-ebOxz79O_8m_CD8lN_EDs2lhuEd6YFXuGYCy2jzvHrmfWL0pww |
| openUrl | ctx_ver=Z39.88-2004&ctx_enc=info%3Aofi%2Fenc%3AUTF-8&rfr_id=info%3Asid%2Fsummon.serialssolutions.com&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Ajournal&rft.genre=article&rft.atitle=S-SOM+v1.0%3A+a+structural+self-organizing+map+algorithm+for+weather+typing&rft.jtitle=Geoscientific+model+development&rft.au=Q.-V.+Doan&rft.au=H.+Kusaka&rft.au=T.+Sato&rft.au=F.+Chen&rft.date=2021-04-22&rft.pub=Copernicus+Publications&rft.issn=1991-959X&rft.eissn=1991-9603&rft.volume=14&rft.spage=2097&rft.epage=2111&rft_id=info:doi/10.5194%2Fgmd-14-2097-2021&rft.externalDBID=DOA&rft.externalDocID=oai_doaj_org_article_b7ddf260b8bf40069b7d7cb1097efabe |
| thumbnail_l | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/lc.gif&issn=1991-9603&client=summon |
| thumbnail_m | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/mc.gif&issn=1991-9603&client=summon |
| thumbnail_s | http://covers-cdn.summon.serialssolutions.com/index.aspx?isbn=/sc.gif&issn=1991-9603&client=summon |