التغييرات
بتاريخ 24 يوليو 2025 3:23:00 م UTC,
-
تم إضافة مورد 07 Svalbard Jan Mayen - RGI2000 v7.0 G إلى Randolph Glacier Inventory (RGI 7.0) - Glacier Product
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| 9 | "contact_name": "IHP-WINS", | 9 | "contact_name": "IHP-WINS", | ||
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| 11 | "created": "2025-07-22", | 11 | "created": "2025-07-22", | ||
| 12 | "creator_user_id": "8ad64841-340c-49dc-8716-c6b61ea4b111", | 12 | "creator_user_id": "8ad64841-340c-49dc-8716-c6b61ea4b111", | ||
| 13 | "custom_citation": "RGI 7.0 Consortium, 2023. Randolph Glacier | 13 | "custom_citation": "RGI 7.0 Consortium, 2023. Randolph Glacier | ||
| 14 | Inventory - A Dataset of Global Glacier Outlines, Version 7.0. | 14 | Inventory - A Dataset of Global Glacier Outlines, Version 7.0. | ||
| 15 | Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. | 15 | Boulder, Colorado USA. NSIDC: National Snow and Ice Data Center. | ||
| 16 | doi:10.5067/f6jmovy5navz. Online access: | 16 | doi:10.5067/f6jmovy5navz. Online access: | ||
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| 22 | "doi": "10.63253/q119a96e", | 22 | "doi": "10.63253/q119a96e", | ||
| 23 | "doi_date_published": "2025-07-24", | 23 | "doi_date_published": "2025-07-24", | ||
| 24 | "doi_publisher": "UNESCO IHP-WINS", | 24 | "doi_publisher": "UNESCO IHP-WINS", | ||
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| 36 | "identifier": | 36 | "identifier": | ||
| 37 | "Randolph-Glacier-Inventory-(RGI-7.0)---Glacier-Product", | 37 | "Randolph-Glacier-Inventory-(RGI-7.0)---Glacier-Product", | ||
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| 51 | "metadata_created": "2025-07-22T13:04:30.892858", | 51 | "metadata_created": "2025-07-22T13:04:30.892858", | ||
| n | 52 | "metadata_modified": "2025-07-24T15:22:08.079876", | n | 52 | "metadata_modified": "2025-07-24T15:22:59.744796", |
| 53 | "metadata_profile": [], | 53 | "metadata_profile": [], | ||
| 54 | "modified": "2025-07-24", | 54 | "modified": "2025-07-24", | ||
| 55 | "name": "randolph-glacier-inventory-rgi-7-0-glacier-product", | 55 | "name": "randolph-glacier-inventory-rgi-7-0-glacier-product", | ||
| 56 | "notes": "The Randolph Glacier Inventory (RGI) is a globally | 56 | "notes": "The Randolph Glacier Inventory (RGI) is a globally | ||
| 57 | complete inventory of glacier outlines (excluding the ice sheets in | 57 | complete inventory of glacier outlines (excluding the ice sheets in | ||
| 58 | Greenland and Antarctica). It is a subset of the database compiled by | 58 | Greenland and Antarctica). It is a subset of the database compiled by | ||
| 59 | the Global Land Ice Measurements from Space (GLIMS) initiative. While | 59 | the Global Land Ice Measurements from Space (GLIMS) initiative. While | ||
| 60 | GLIMS is a multi-temporal database with an extensive set of | 60 | GLIMS is a multi-temporal database with an extensive set of | ||
| 61 | attributes, the RGI is intended to be a snapshot of the world\u2019s | 61 | attributes, the RGI is intended to be a snapshot of the world\u2019s | ||
| 62 | glaciers at a specific target date, which in RGI 7.0 and all previous | 62 | glaciers at a specific target date, which in RGI 7.0 and all previous | ||
| 63 | versions has been set as close as possible to the year 2000 (although | 63 | versions has been set as close as possible to the year 2000 (although | ||
| 64 | in fact its range of dates can still be substantial in some regions). | 64 | in fact its range of dates can still be substantial in some regions). | ||
| 65 | The RGI includes outlines of all glaciers larger than 0.01 km\u00b2, | 65 | The RGI includes outlines of all glaciers larger than 0.01 km\u00b2, | ||
| 66 | which is the recommended minimum of the World Glacier | 66 | which is the recommended minimum of the World Glacier | ||
| 67 | Inventory.\r\n\r\nThe RGI was not designed for the measurement of | 67 | Inventory.\r\n\r\nThe RGI was not designed for the measurement of | ||
| 68 | glacier-by-glacier rates of area change, for which the greatest | 68 | glacier-by-glacier rates of area change, for which the greatest | ||
| 69 | possible accuracy in dating, delineation and georeferencing is | 69 | possible accuracy in dating, delineation and georeferencing is | ||
| 70 | essential. While many RGI outlines meet these requirements, the | 70 | essential. While many RGI outlines meet these requirements, the | ||
| 71 | primary focus of the RGI is on achieving global coverage, consistency, | 71 | primary focus of the RGI is on achieving global coverage, consistency, | ||
| 72 | and proximity in a specific year. The strength of the RGI lies in its | 72 | and proximity in a specific year. The strength of the RGI lies in its | ||
| 73 | ability to handle large numbers of glaciers simultaneously. This | 73 | ability to handle large numbers of glaciers simultaneously. This | ||
| 74 | allows, for example, for the estimation of glacier volumes and rates | 74 | allows, for example, for the estimation of glacier volumes and rates | ||
| 75 | of elevation change at regional and global scales, as well as the | 75 | of elevation change at regional and global scales, as well as the | ||
| 76 | simulation of cryospheric responses to climatic forcing.\r\n\r\nWho | 76 | simulation of cryospheric responses to climatic forcing.\r\n\r\nWho | ||
| 77 | develops and hosts the RGI?\r\nThe RGI has been developed in an | 77 | develops and hosts the RGI?\r\nThe RGI has been developed in an | ||
| 78 | international community-driven effort of glaciologists starting in | 78 | international community-driven effort of glaciologists starting in | ||
| 79 | 2010. The inventory was named after \u201cRandolph\u201d, a town in | 79 | 2010. The inventory was named after \u201cRandolph\u201d, a town in | ||
| 80 | New Hampshire, USA, where the team met for one of their meetings | 80 | New Hampshire, USA, where the team met for one of their meetings | ||
| 81 | [Pfeffer et al., 2014]. In 2014 development of the RGI became the | 81 | [Pfeffer et al., 2014]. In 2014 development of the RGI became the | ||
| 82 | responsibility of the Working Group on the Randolph Glacier Inventory | 82 | responsibility of the Working Group on the Randolph Glacier Inventory | ||
| 83 | and Infrastructure for Glacier Monitoring, which operated under the | 83 | and Infrastructure for Glacier Monitoring, which operated under the | ||
| 84 | International Association of Cryospheric Sciences (IACS). In 2019, a | 84 | International Association of Cryospheric Sciences (IACS). In 2019, a | ||
| 85 | new Working Group was established to build upon the previous | 85 | new Working Group was established to build upon the previous | ||
| 86 | achievements and further expand its objectives: the IACS Working Group | 86 | achievements and further expand its objectives: the IACS Working Group | ||
| 87 | on the Randolph Glacier Inventory (RGI) and its role in future glacier | 87 | on the Randolph Glacier Inventory (RGI) and its role in future glacier | ||
| 88 | monitoring and GLIMS.\r\n\r\nThe RGI datasets are listed on glims.org, | 88 | monitoring and GLIMS.\r\n\r\nThe RGI datasets are listed on glims.org, | ||
| 89 | and the RGI files can be downloaded through the data portal at the | 89 | and the RGI files can be downloaded through the data portal at the | ||
| 90 | National Snow and Ice Data Center (NSIDC), which is the host for | 90 | National Snow and Ice Data Center (NSIDC), which is the host for | ||
| 91 | GLIMS.\r\n\r\n__Glacier product: includes outlines, attributes and | 91 | GLIMS.\r\n\r\n__Glacier product: includes outlines, attributes and | ||
| 92 | auxiliary data for each individual glacier.__", | 92 | auxiliary data for each individual glacier.__", | ||
| 93 | "notes_translated": { | 93 | "notes_translated": { | ||
| 94 | "en": "The Randolph Glacier Inventory (RGI) is a globally complete | 94 | "en": "The Randolph Glacier Inventory (RGI) is a globally complete | ||
| 95 | inventory of glacier outlines (excluding the ice sheets in Greenland | 95 | inventory of glacier outlines (excluding the ice sheets in Greenland | ||
| 96 | and Antarctica). It is a subset of the database compiled by the Global | 96 | and Antarctica). It is a subset of the database compiled by the Global | ||
| 97 | Land Ice Measurements from Space (GLIMS) initiative. While GLIMS is a | 97 | Land Ice Measurements from Space (GLIMS) initiative. While GLIMS is a | ||
| 98 | multi-temporal database with an extensive set of attributes, the RGI | 98 | multi-temporal database with an extensive set of attributes, the RGI | ||
| 99 | is intended to be a snapshot of the world\u2019s glaciers at a | 99 | is intended to be a snapshot of the world\u2019s glaciers at a | ||
| 100 | specific target date, which in RGI 7.0 and all previous versions has | 100 | specific target date, which in RGI 7.0 and all previous versions has | ||
| 101 | been set as close as possible to the year 2000 (although in fact its | 101 | been set as close as possible to the year 2000 (although in fact its | ||
| 102 | range of dates can still be substantial in some regions). The RGI | 102 | range of dates can still be substantial in some regions). The RGI | ||
| 103 | includes outlines of all glaciers larger than 0.01 km\u00b2, which is | 103 | includes outlines of all glaciers larger than 0.01 km\u00b2, which is | ||
| 104 | the recommended minimum of the World Glacier Inventory.\r\n\r\nThe RGI | 104 | the recommended minimum of the World Glacier Inventory.\r\n\r\nThe RGI | ||
| 105 | was not designed for the measurement of glacier-by-glacier rates of | 105 | was not designed for the measurement of glacier-by-glacier rates of | ||
| 106 | area change, for which the greatest possible accuracy in dating, | 106 | area change, for which the greatest possible accuracy in dating, | ||
| 107 | delineation and georeferencing is essential. While many RGI outlines | 107 | delineation and georeferencing is essential. While many RGI outlines | ||
| 108 | meet these requirements, the primary focus of the RGI is on achieving | 108 | meet these requirements, the primary focus of the RGI is on achieving | ||
| 109 | global coverage, consistency, and proximity in a specific year. The | 109 | global coverage, consistency, and proximity in a specific year. The | ||
| 110 | strength of the RGI lies in its ability to handle large numbers of | 110 | strength of the RGI lies in its ability to handle large numbers of | ||
| 111 | glaciers simultaneously. This allows, for example, for the estimation | 111 | glaciers simultaneously. This allows, for example, for the estimation | ||
| 112 | of glacier volumes and rates of elevation change at regional and | 112 | of glacier volumes and rates of elevation change at regional and | ||
| 113 | global scales, as well as the simulation of cryospheric responses to | 113 | global scales, as well as the simulation of cryospheric responses to | ||
| 114 | climatic forcing.\r\n\r\nWho develops and hosts the RGI?\r\nThe RGI | 114 | climatic forcing.\r\n\r\nWho develops and hosts the RGI?\r\nThe RGI | ||
| 115 | has been developed in an international community-driven effort of | 115 | has been developed in an international community-driven effort of | ||
| 116 | glaciologists starting in 2010. The inventory was named after | 116 | glaciologists starting in 2010. The inventory was named after | ||
| 117 | \u201cRandolph\u201d, a town in New Hampshire, USA, where the team met | 117 | \u201cRandolph\u201d, a town in New Hampshire, USA, where the team met | ||
| 118 | for one of their meetings [Pfeffer et al., 2014]. In 2014 development | 118 | for one of their meetings [Pfeffer et al., 2014]. In 2014 development | ||
| 119 | of the RGI became the responsibility of the Working Group on the | 119 | of the RGI became the responsibility of the Working Group on the | ||
| 120 | Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, | 120 | Randolph Glacier Inventory and Infrastructure for Glacier Monitoring, | ||
| 121 | which operated under the International Association of Cryospheric | 121 | which operated under the International Association of Cryospheric | ||
| 122 | Sciences (IACS). In 2019, a new Working Group was established to build | 122 | Sciences (IACS). In 2019, a new Working Group was established to build | ||
| 123 | upon the previous achievements and further expand its objectives: the | 123 | upon the previous achievements and further expand its objectives: the | ||
| 124 | IACS Working Group on the Randolph Glacier Inventory (RGI) and its | 124 | IACS Working Group on the Randolph Glacier Inventory (RGI) and its | ||
| 125 | role in future glacier monitoring and GLIMS.\r\n\r\nThe RGI datasets | 125 | role in future glacier monitoring and GLIMS.\r\n\r\nThe RGI datasets | ||
| 126 | are listed on glims.org, and the RGI files can be downloaded through | 126 | are listed on glims.org, and the RGI files can be downloaded through | ||
| 127 | the data portal at the National Snow and Ice Data Center (NSIDC), | 127 | the data portal at the National Snow and Ice Data Center (NSIDC), | ||
| 128 | which is the host for GLIMS.\r\n\r\n__Glacier product: includes | 128 | which is the host for GLIMS.\r\n\r\n__Glacier product: includes | ||
| 129 | outlines, attributes and auxiliary data for each individual | 129 | outlines, attributes and auxiliary data for each individual | ||
| 130 | glacier.__", | 130 | glacier.__", | ||
| 131 | "es": "", | 131 | "es": "", | ||
| 132 | "fr": "" | 132 | "fr": "" | ||
| 133 | }, | 133 | }, | ||
| n | 134 | "num_resources": 7, | n | 134 | "num_resources": 8, |
| 135 | "num_tags": 6, | 135 | "num_tags": 6, | ||
| 136 | "organization": { | 136 | "organization": { | ||
| 137 | "approval_status": "approved", | 137 | "approval_status": "approved", | ||
| 138 | "created": "2025-07-22T12:53:29.530178", | 138 | "created": "2025-07-22T12:53:29.530178", | ||
| 139 | "description": "# What We Do\r\nFrom the Arctic to the Antarctic, | 139 | "description": "# What We Do\r\nFrom the Arctic to the Antarctic, | ||
| 140 | snow and ice play a vital role in regulating Earth\u2019s climate and | 140 | snow and ice play a vital role in regulating Earth\u2019s climate and | ||
| 141 | providing freshwater resources to people, plants, and animals. The | 141 | providing freshwater resources to people, plants, and animals. The | ||
| 142 | National Snow and Ice Data Center (NSIDC) at the University of | 142 | National Snow and Ice Data Center (NSIDC) at the University of | ||
| 143 | Colorado Boulder (CU Boulder), part of the CU Boulder Cooperative | 143 | Colorado Boulder (CU Boulder), part of the CU Boulder Cooperative | ||
| 144 | Institute for Research in Environmental Sciences (CIRES), conducts | 144 | Institute for Research in Environmental Sciences (CIRES), conducts | ||
| 145 | innovative research and provides open data to understand how the | 145 | innovative research and provides open data to understand how the | ||
| 146 | frozen parts of Earth affect the rest of the planet and impact | 146 | frozen parts of Earth affect the rest of the planet and impact | ||
| 147 | society. Research studies and data are primarily focused on the snow, | 147 | society. Research studies and data are primarily focused on the snow, | ||
| 148 | ice, glaciers, frozen ground and climate interactions that make up | 148 | ice, glaciers, frozen ground and climate interactions that make up | ||
| 149 | Earth\u2019s cryosphere.\r\n\r\nThrough a unique combination of data | 149 | Earth\u2019s cryosphere.\r\n\r\nThrough a unique combination of data | ||
| 150 | management and scientific research, NSIDC enables scientists, | 150 | management and scientific research, NSIDC enables scientists, | ||
| 151 | educators, students, journalists and many others to better understand | 151 | educators, students, journalists and many others to better understand | ||
| 152 | the cryosphere, why it\u2019s important and how it\u2019s changing. | 152 | the cryosphere, why it\u2019s important and how it\u2019s changing. | ||
| 153 | Key areas of NSIDC expertise include:\r\n\r\n* Stewardship and free | 153 | Key areas of NSIDC expertise include:\r\n\r\n* Stewardship and free | ||
| 154 | distribution of scientific data from a broad range of sources | 154 | distribution of scientific data from a broad range of sources | ||
| 155 | including Earth-observing satellites, airborne remote sensing | 155 | including Earth-observing satellites, airborne remote sensing | ||
| 156 | campaigns, field studies and historical observations.\r\n* Research | 156 | campaigns, field studies and historical observations.\r\n* Research | ||
| 157 | studies of polar regions, the cryosphere and related climate | 157 | studies of polar regions, the cryosphere and related climate | ||
| 158 | processes.\r\n* Scientific analysis and insights on how regions of the | 158 | processes.\r\n* Scientific analysis and insights on how regions of the | ||
| 159 | cryosphere are changing, as well as educational content about what the | 159 | cryosphere are changing, as well as educational content about what the | ||
| 160 | cryosphere is and why it matters.\r\n* Creating software tools to | 160 | cryosphere is and why it matters.\r\n* Creating software tools to | ||
| 161 | access and work with data as well as providing robust user support to | 161 | access and work with data as well as providing robust user support to | ||
| 162 | the NSIDC data user community.\r\n\r\nIn 1976, the World Data Center | 162 | the NSIDC data user community.\r\n\r\nIn 1976, the World Data Center | ||
| 163 | (WDC) for Glaciology, Boulder, operated at the University of Colorado | 163 | (WDC) for Glaciology, Boulder, operated at the University of Colorado | ||
| 164 | as an analog archive and information center, essentially a special | 164 | as an analog archive and information center, essentially a special | ||
| 165 | collection library. It was one of many World Data Centers\u2014now the | 165 | collection library. It was one of many World Data Centers\u2014now the | ||
| 166 | World Data System. In 1982, NOAA designated data activities of the WDC | 166 | World Data System. In 1982, NOAA designated data activities of the WDC | ||
| 167 | for Glaciology, Boulder as the National Snow and Ice Data Center and | 167 | for Glaciology, Boulder as the National Snow and Ice Data Center and | ||
| 168 | an affiliate of other NOAA data centers. NSIDC and the WDC for | 168 | an affiliate of other NOAA data centers. NSIDC and the WDC for | ||
| 169 | Glaciology, Boulder, operated concurrently. NSIDC became part of the | 169 | Glaciology, Boulder, operated concurrently. NSIDC became part of the | ||
| 170 | Cooperative Institute for Research in Environmental Sciences (CIRES) | 170 | Cooperative Institute for Research in Environmental Sciences (CIRES) | ||
| 171 | at CU Boulder. CIRES functions as a partnership of NOAA and CU | 171 | at CU Boulder. CIRES functions as a partnership of NOAA and CU | ||
| 172 | Boulder, and is home to hundreds of environmental scientists working | 172 | Boulder, and is home to hundreds of environmental scientists working | ||
| 173 | to understand the dynamic Earth system, including people's | 173 | to understand the dynamic Earth system, including people's | ||
| 174 | relationship with the planet.\r\n\r\nThroughout its history, NSIDC has | 174 | relationship with the planet.\r\n\r\nThroughout its history, NSIDC has | ||
| 175 | specialized in data management and scientific research of Earth\u2019s | 175 | specialized in data management and scientific research of Earth\u2019s | ||
| 176 | frozen regions, otherwise known as the cryosphere. NSIDC research | 176 | frozen regions, otherwise known as the cryosphere. NSIDC research | ||
| 177 | scientists and data experts work with scientists within CIRES as well | 177 | scientists and data experts work with scientists within CIRES as well | ||
| 178 | as collaborators across the world to publish research that advances | 178 | as collaborators across the world to publish research that advances | ||
| 179 | understanding of how the cryosphere impacts local, regional and global | 179 | understanding of how the cryosphere impacts local, regional and global | ||
| 180 | environments and the human relationship with those environments. NSIDC | 180 | environments and the human relationship with those environments. NSIDC | ||
| 181 | scientists and data experts also work together to provide relevant, | 181 | scientists and data experts also work together to provide relevant, | ||
| 182 | high impact data to the cryospheric science community and | 182 | high impact data to the cryospheric science community and | ||
| 183 | beyond.\r\n\r\n# Our purpose\r\nNSIDC contributes to climate change | 183 | beyond.\r\n\r\n# Our purpose\r\nNSIDC contributes to climate change | ||
| 184 | solutions, thereby positively impacting the future of humanity\u2019s | 184 | solutions, thereby positively impacting the future of humanity\u2019s | ||
| 185 | relationship with the planet.\r\n\r\n# Our mission\r\nNSIDC is the | 185 | relationship with the planet.\r\n\r\n# Our mission\r\nNSIDC is the | ||
| 186 | authoritative data management and science center for cryospheric data | 186 | authoritative data management and science center for cryospheric data | ||
| 187 | and research. We advance understanding of Earth\u2019s frozen regions | 187 | and research. We advance understanding of Earth\u2019s frozen regions | ||
| 188 | and the changes taking place to inform decision-making, in service to | 188 | and the changes taking place to inform decision-making, in service to | ||
| 189 | humanity and Earth.\r\n\r\n# Our vision\r\nNSIDC makes a positive | 189 | humanity and Earth.\r\n\r\n# Our vision\r\nNSIDC makes a positive | ||
| 190 | difference in the future of humanity and the planet as the trusted | 190 | difference in the future of humanity and the planet as the trusted | ||
| 191 | go-to organization for Earth science data and information, | 191 | go-to organization for Earth science data and information, | ||
| 192 | particularly with respect to Earth\u2019s frozen realms.\r\n\r\n# Data | 192 | particularly with respect to Earth\u2019s frozen realms.\r\n\r\n# Data | ||
| 193 | management\r\nNSIDC data management programs are primarily focused on | 193 | management\r\nNSIDC data management programs are primarily focused on | ||
| 194 | preserving, documenting and providing access to cryospheric data and | 194 | preserving, documenting and providing access to cryospheric data and | ||
| 195 | related geophysical data. In addition to managing and storing | 195 | related geophysical data. In addition to managing and storing | ||
| 196 | scientific data for government agencies and organizations, NSIDC works | 196 | scientific data for government agencies and organizations, NSIDC works | ||
| 197 | with data producers and users to create and publish tools and | 197 | with data producers and users to create and publish tools and | ||
| 198 | resources that make the data more accessible. \r\n\r\nNSIDC data | 198 | resources that make the data more accessible. \r\n\r\nNSIDC data | ||
| 199 | collections include:\r\n\r\n* Cryosphere-related data from | 199 | collections include:\r\n\r\n* Cryosphere-related data from | ||
| 200 | Earth-observing satellite missions, airborne surveys, field | 200 | Earth-observing satellite missions, airborne surveys, field | ||
| 201 | observations, weather stations, historical records, and data rescue | 201 | observations, weather stations, historical records, and data rescue | ||
| 202 | projects. \r\n* Data produced by NSIDC scientists and other | 202 | projects. \r\n* Data produced by NSIDC scientists and other | ||
| 203 | researchers in the cryospheric sciences.\r\n* Indigenous Knowledge and | 203 | researchers in the cryospheric sciences.\r\n* Indigenous Knowledge and | ||
| 204 | observations from Arctic regions that are documented and shared in an | 204 | observations from Arctic regions that are documented and shared in an | ||
| 205 | ethical manner to support community goals for data sharing, use and | 205 | ethical manner to support community goals for data sharing, use and | ||
| 206 | preservation. \r\n\r\nNSIDC is also a CoreTrustSeal-certified Regular | 206 | preservation. \r\n\r\nNSIDC is also a CoreTrustSeal-certified Regular | ||
| 207 | Member of the World Data System (WDS), signifying that NSIDC provides | 207 | Member of the World Data System (WDS), signifying that NSIDC provides | ||
| 208 | reliable, high-quality data services. CoreTrustSeal is an | 208 | reliable, high-quality data services. CoreTrustSeal is an | ||
| 209 | international, community based, non-governmental and non-profit | 209 | international, community based, non-governmental and non-profit | ||
| 210 | organization that identifies sustainable and trustworthy data | 210 | organization that identifies sustainable and trustworthy data | ||
| 211 | infrastructures through a rigorous certification process.\r\n\r\n## | 211 | infrastructures through a rigorous certification process.\r\n\r\n## | ||
| 212 | NSIDC operates three core data management programs:\r\nNASA National | 212 | NSIDC operates three core data management programs:\r\nNASA National | ||
| 213 | Snow and Ice Data Center Distributed Active Archive Center (NSIDC | 213 | Snow and Ice Data Center Distributed Active Archive Center (NSIDC | ||
| 214 | DAAC)\r\nNSIDC has managed the NASA National Snow and Ice Data Center | 214 | DAAC)\r\nNSIDC has managed the NASA National Snow and Ice Data Center | ||
| 215 | Distributed Active Archive Center (NSIDC DAAC) since 1993, archiving | 215 | Distributed Active Archive Center (NSIDC DAAC) since 1993, archiving | ||
| 216 | and distributing cryospheric and related geophysical data from NASA | 216 | and distributing cryospheric and related geophysical data from NASA | ||
| 217 | Earth-observing satellite missions, airborne campaigns and field | 217 | Earth-observing satellite missions, airborne campaigns and field | ||
| 218 | observations. The NSIDC DAAC provides hundreds of free and open-access | 218 | observations. The NSIDC DAAC provides hundreds of free and open-access | ||
| 219 | NASA Earth science data sets, detailed data documentation, data tools, | 219 | NASA Earth science data sets, detailed data documentation, data tools, | ||
| 220 | resources and tutorials, as well as robust data user support | 220 | resources and tutorials, as well as robust data user support | ||
| 221 | services.\r\n\r\n## NOAA@NSIDC\r\nThe National Oceanic and Atmospheric | 221 | services.\r\n\r\n## NOAA@NSIDC\r\nThe National Oceanic and Atmospheric | ||
| 222 | Administration (NOAA) program at NSIDC provides free and open-access | 222 | Administration (NOAA) program at NSIDC provides free and open-access | ||
| 223 | data about Earth's frozen regions. NOAA@NSIDC provides over 100 data | 223 | data about Earth's frozen regions. NOAA@NSIDC provides over 100 data | ||
| 224 | sets, including current and historical sea ice conditions, | 224 | sets, including current and historical sea ice conditions, | ||
| 225 | decades-long records of snow extent, and historical glacier | 225 | decades-long records of snow extent, and historical glacier | ||
| 226 | photographs. Data come from multiple sources: satellites, in situ | 226 | photographs. Data come from multiple sources: satellites, in situ | ||
| 227 | observations, operational records, rescued data and even historical | 227 | observations, operational records, rescued data and even historical | ||
| 228 | records such as declassified Cold War submarine observations of the | 228 | records such as declassified Cold War submarine observations of the | ||
| 229 | Arctic.\r\n\r\n## Exchange for Local Observations and Knowledge of the | 229 | Arctic.\r\n\r\n## Exchange for Local Observations and Knowledge of the | ||
| 230 | Arctic (ELOKA)\r\nThe Exchange for Local Observations and Knowledge of | 230 | Arctic (ELOKA)\r\nThe Exchange for Local Observations and Knowledge of | ||
| 231 | the Arctic (ELOKA) program at NSIDC fosters collaboration between | 231 | the Arctic (ELOKA) program at NSIDC fosters collaboration between | ||
| 232 | resident Arctic experts and Indigenous communities and visiting | 232 | resident Arctic experts and Indigenous communities and visiting | ||
| 233 | researchers to create online products that facilitate the collection, | 233 | researchers to create online products that facilitate the collection, | ||
| 234 | preservation, exchange, and use of local observations and Indigenous | 234 | preservation, exchange, and use of local observations and Indigenous | ||
| 235 | Knowledge of the Arctic. The data management and user support that | 235 | Knowledge of the Arctic. The data management and user support that | ||
| 236 | ELOKA provides to Indigenous communities focuses on ensuring their | 236 | ELOKA provides to Indigenous communities focuses on ensuring their | ||
| 237 | data and knowledge are managed, visualized, and shared in an ethical | 237 | data and knowledge are managed, visualized, and shared in an ethical | ||
| 238 | manner to work toward information and data sovereignty for Arctic | 238 | manner to work toward information and data sovereignty for Arctic | ||
| 239 | residents. ELOKA is generously funded by the National Science | 239 | residents. ELOKA is generously funded by the National Science | ||
| 240 | Foundation.\r\n\r\n# Scientific research\r\nNSIDC strives to be an | 240 | Foundation.\r\n\r\n# Scientific research\r\nNSIDC strives to be an | ||
| 241 | epicenter of cryosphere research and knowledge. Core initiatives of | 241 | epicenter of cryosphere research and knowledge. Core initiatives of | ||
| 242 | NSIDC research include:\r\n\r\n* Working closely with the broader CU | 242 | NSIDC research include:\r\n\r\n* Working closely with the broader CU | ||
| 243 | Boulder research community and others to lead cutting edge, | 243 | Boulder research community and others to lead cutting edge, | ||
| 244 | multidisciplinary and impactful cryospheric research that serves | 244 | multidisciplinary and impactful cryospheric research that serves | ||
| 245 | societal needs. \r\n* Mentoring the next generation of scientists | 245 | societal needs. \r\n* Mentoring the next generation of scientists | ||
| 246 | while studying a broad range of topics including remote sensing of | 246 | while studying a broad range of topics including remote sensing of | ||
| 247 | snow and ice, Arctic climate, frozen ground, ice sheets, glaciers and | 247 | snow and ice, Arctic climate, frozen ground, ice sheets, glaciers and | ||
| 248 | more. \r\n* Collaborating with NSIDC data management teams and | 248 | more. \r\n* Collaborating with NSIDC data management teams and | ||
| 249 | software developers to create innovative data products, tools and | 249 | software developers to create innovative data products, tools and | ||
| 250 | analyses to better study the cryosphere.\r\n\r\nNSIDC researchers also | 250 | analyses to better study the cryosphere.\r\n\r\nNSIDC researchers also | ||
| 251 | share a passion for educating students, the greater science community | 251 | share a passion for educating students, the greater science community | ||
| 252 | and general public about their research and insights on a | 252 | and general public about their research and insights on a | ||
| 253 | rapidly-changing cryosphere. In addition to publishing peer-reviewed | 253 | rapidly-changing cryosphere. In addition to publishing peer-reviewed | ||
| 254 | research studies, NSIDC scientists regularly post easy-to-read | 254 | research studies, NSIDC scientists regularly post easy-to-read | ||
| 255 | scientific analyses on how the cryosphere is changing and what might | 255 | scientific analyses on how the cryosphere is changing and what might | ||
| 256 | be driving those changes, as well as educational content about what | 256 | be driving those changes, as well as educational content about what | ||
| 257 | the cryosphere is, what it does and why it matters. Explore NSIDC | 257 | the cryosphere is, what it does and why it matters. Explore NSIDC | ||
| 258 | analyses and learning resources: \r\n", | 258 | analyses and learning resources: \r\n", | ||
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| 587 | "version": "7.0", | 619 | "version": "7.0", | ||
| 588 | "version_notes": { | 620 | "version_notes": { | ||
| 589 | "en": "Version 7.0, released in September 2023, comes with major | 621 | "en": "Version 7.0, released in September 2023, comes with major | ||
| 590 | outline quality improvements in nearly all RGI regions. In addition | 622 | outline quality improvements in nearly all RGI regions. In addition | ||
| 591 | new products are available including, for example, outlines of glacier | 623 | new products are available including, for example, outlines of glacier | ||
| 592 | complexes and glacier centerlines. Furthermore, the RGI production has | 624 | complexes and glacier centerlines. Furthermore, the RGI production has | ||
| 593 | been entirely redesigned to use GLIMS as the sole source of data. The | 625 | been entirely redesigned to use GLIMS as the sole source of data. The | ||
| 594 | file generation process is now largely automated, extracting from | 626 | file generation process is now largely automated, extracting from | ||
| 595 | GLIMS the outlines closest to the target date while also relying on | 627 | GLIMS the outlines closest to the target date while also relying on | ||
| 596 | expert judgment for the exact choice of available outlines. Open | 628 | expert judgment for the exact choice of available outlines. Open | ||
| 597 | source scripts are used for all dataset creation steps. The file | 629 | source scripts are used for all dataset creation steps. The file | ||
| 598 | naming convention and attributes have changed substantially, requiring | 630 | naming convention and attributes have changed substantially, requiring | ||
| 599 | users of previous versions to adapt their data analysis workflow (see | 631 | users of previous versions to adapt their data analysis workflow (see | ||
| 600 | General revisions in RGI 7.0 for more details).", | 632 | General revisions in RGI 7.0 for more details).", | ||
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