A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0
Gridded glacier datasets are essential for various glaciological and climatological research because they link glacier cover with the corresponding gridded meteorological variables. However, there are significant differences between the gridded data and the shapefile data in the total area calculati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Cambridge University Press
2021-08-01
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| Series: | Journal of Glaciology |
| Subjects: | |
| Online Access: | https://www.cambridge.org/core/product/identifier/S0022143021000289/type/journal_article |
| _version_ | 1811155783381942272 |
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| author | Yaojun Li Fei Li Donghui Shangguan Yongjian Ding |
| author_facet | Yaojun Li Fei Li Donghui Shangguan Yongjian Ding |
| author_sort | Yaojun Li |
| collection | DOAJ |
| description | Gridded glacier datasets are essential for various glaciological and climatological research because they link glacier cover with the corresponding gridded meteorological variables. However, there are significant differences between the gridded data and the shapefile data in the total area calculations in the Randolph Glacier Inventory (RGI) 6.0 at global and regional scales. Here, we present a new global gridded glacier dataset based on the RGI 6.0 that eliminates the differences. The dataset is made by dividing the glacier polygons using cell boundaries and then recalculating the area of each polygon in the cell. Our dataset (1) exhibits a good agreement with the RGI area values for those regions in which gridded areas showed a generally good consistency with those in the shapefile data, and (2) reduces the errors existing in the current RGI gridded dataset. All data and code used in this study are freely available and we provide two examples to demonstrate the application of this new gridded dataset. |
| first_indexed | 2024-04-10T04:39:20Z |
| format | Article |
| id | doaj.art-23810249eedd468a8251bedd54afd4ab |
| institution | Directory Open Access Journal |
| issn | 0022-1430 1727-5652 |
| language | English |
| last_indexed | 2024-04-10T04:39:20Z |
| publishDate | 2021-08-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | Journal of Glaciology |
| spelling | doaj.art-23810249eedd468a8251bedd54afd4ab2023-03-09T12:41:07ZengCambridge University PressJournal of Glaciology0022-14301727-56522021-08-016777377610.1017/jog.2021.28A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0Yaojun Li0https://orcid.org/0000-0001-7538-7797Fei Li1Donghui Shangguan2https://orcid.org/0000-0001-9975-0722Yongjian Ding3State Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China University of Chinese Academy of Sciences, Beijing, ChinaUniversity of Chinese Academy of Sciences, Beijing, China Key Laboratory of Tibetan Environment Change and Land Surface Processes, Institute of Tibetan Plateau Research, Chinese Academy of Sciences, Beijing, ChinaState Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, ChinaState Key Laboratory of Cryospheric Science, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China Key Laboratory of Ecohydrology of Inland River Basin, Northwest Institute of Eco-Environment and Resources, Chinese Academy of Sciences, Lanzhou, China University of Chinese Academy of Sciences, Beijing, ChinaGridded glacier datasets are essential for various glaciological and climatological research because they link glacier cover with the corresponding gridded meteorological variables. However, there are significant differences between the gridded data and the shapefile data in the total area calculations in the Randolph Glacier Inventory (RGI) 6.0 at global and regional scales. Here, we present a new global gridded glacier dataset based on the RGI 6.0 that eliminates the differences. The dataset is made by dividing the glacier polygons using cell boundaries and then recalculating the area of each polygon in the cell. Our dataset (1) exhibits a good agreement with the RGI area values for those regions in which gridded areas showed a generally good consistency with those in the shapefile data, and (2) reduces the errors existing in the current RGI gridded dataset. All data and code used in this study are freely available and we provide two examples to demonstrate the application of this new gridded dataset.https://www.cambridge.org/core/product/identifier/S0022143021000289/type/journal_articleGlacier coverglacier delineationglacier geophysicsglacier mapping |
| spellingShingle | Yaojun Li Fei Li Donghui Shangguan Yongjian Ding A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 Journal of Glaciology Glacier cover glacier delineation glacier geophysics glacier mapping |
| title | A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
| title_full | A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
| title_fullStr | A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
| title_full_unstemmed | A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
| title_short | A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
| title_sort | new global gridded glacier dataset based on the randolph glacier inventory version 6 0 |
| topic | Glacier cover glacier delineation glacier geophysics glacier mapping |
| url | https://www.cambridge.org/core/product/identifier/S0022143021000289/type/journal_article |
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