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...
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ftdoajarticles:oai:doaj.org/article:23810249eedd468a8251bedd54afd4ab 2023-05-15T16:57:34+02:00 A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 Yaojun Li Fei Li Donghui Shangguan Yongjian Ding 2021-08-01T00:00:00Z https://doi.org/10.1017/jog.2021.28 https://doaj.org/article/23810249eedd468a8251bedd54afd4ab EN eng Cambridge University Press https://www.cambridge.org/core/product/identifier/S0022143021000289/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.28 0022-1430 1727-5652 https://doaj.org/article/23810249eedd468a8251bedd54afd4ab Journal of Glaciology, Vol 67, Pp 773-776 (2021) Glacier cover glacier delineation glacier geophysics glacier mapping Environmental sciences GE1-350 Meteorology. Climatology QC851-999 article 2021 ftdoajarticles https://doi.org/10.1017/jog.2021.28 2023-03-12T01:30:57Z 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. Article in Journal/Newspaper Journal of Glaciology Directory of Open Access Journals: DOAJ Articles Journal of Glaciology 67 264 773 776 |
institution |
Open Polar |
collection |
Directory of Open Access Journals: DOAJ Articles |
op_collection_id |
ftdoajarticles |
language |
English |
topic |
Glacier cover glacier delineation glacier geophysics glacier mapping Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
spellingShingle |
Glacier cover glacier delineation glacier geophysics glacier mapping Environmental sciences GE1-350 Meteorology. Climatology QC851-999 Yaojun Li Fei Li Donghui Shangguan Yongjian Ding A new global gridded glacier dataset based on the Randolph Glacier Inventory version 6.0 |
topic_facet |
Glacier cover glacier delineation glacier geophysics glacier mapping Environmental sciences GE1-350 Meteorology. Climatology QC851-999 |
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. |
format |
Article in Journal/Newspaper |
author |
Yaojun Li Fei Li Donghui Shangguan Yongjian Ding |
author_facet |
Yaojun Li Fei Li Donghui Shangguan Yongjian Ding |
author_sort |
Yaojun Li |
title |
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_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_sort |
new global gridded glacier dataset based on the randolph glacier inventory version 6.0 |
publisher |
Cambridge University Press |
publishDate |
2021 |
url |
https://doi.org/10.1017/jog.2021.28 https://doaj.org/article/23810249eedd468a8251bedd54afd4ab |
genre |
Journal of Glaciology |
genre_facet |
Journal of Glaciology |
op_source |
Journal of Glaciology, Vol 67, Pp 773-776 (2021) |
op_relation |
https://www.cambridge.org/core/product/identifier/S0022143021000289/type/journal_article https://doaj.org/toc/0022-1430 https://doaj.org/toc/1727-5652 doi:10.1017/jog.2021.28 0022-1430 1727-5652 https://doaj.org/article/23810249eedd468a8251bedd54afd4ab |
op_doi |
https://doi.org/10.1017/jog.2021.28 |
container_title |
Journal of Glaciology |
container_volume |
67 |
container_issue |
264 |
container_start_page |
773 |
op_container_end_page |
776 |
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1766049131018584064 |