![]() ![]() Uncertainty estimates and comparisons with inventories that were not sources for the RGI. The uncertainty, about �5%, is derived from careful single-glacier and basin-scale Their total extent is estimated asħ26 800�34 000km2. Satellite imagery from 1999–2010 provided most of the outlines. Limited, uniform set of attributes is attached to each of the �198 000 glaciers in its latest version, 3.2. Priority was given to completeness of coverage, but a The RGI wasĬreated with limited resources in a short period. Intergovernmental Panel on Climate Change for estimates of past and future mass balance. Glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the The Randolph Glacier Inventory (RGI) is a globally complete collection of digital outlines of Our lake inventory data are publicly published, it can help to study climate change–glacier–glacial lake–GLOF interactions in the Third Pole and serve as input to various hydro-climatic studies. The mapping uncertainty is about 17.5%, which is lower than other available datasets, thus making our inventory reliable for the spatio-temporal evolution analysis of glacial lakes in the TP. We noticed that different regions of the TP exhibited varying change rates in glacial lake size most regions show a trend of expansion and increase in glacial lakes, while some regions show a trend of decreasing such as the western Pamir and the eastern Hindu Kush. Results showed that their number and area had increased by 3285 and 258.82 km2 in the last 3 decades, respectively. Here, we created a multi-temporal inventory of glacial lakes in TP using a 30-year record of 42,833 satellite images (1990–2019), and we discussed their characteristics and spatio-temporal evolution over the years. The lack of high-resolution multi-temporal inventory of glacial lakes in TP hampers a better understanding and prediction of the future trend and risk of glacial lakes. These lakes modulate the freshwater ecosystem in the region but concurrently pose severe threats to the valley population by means of sudden glacial lake outbursts and consequent floods (GLOFs). This contribution comparesĪnd contrasts the two datasets and discusses the status of the mergeĪs the Third Pole of the Earth and the Water Tower of Asia, the Tibetan Plateau (TP) nurtures large numbers of glacial lakes, which are sensitive to global climate change. Software for ID assignment has been developed, and some progress hasīeen made toward merging the RGI into GLIMS. In deriving statistics from the database, such as glacier count or area. Glacier will appear to be different glaciers. Otherwise, outlines that are supposed to pertain to the same That match what has already been assigned to the glacier in the GLIMSĭatabase. Outlines, and for which there are already existingoutlines in the GLIMSĭatabase, we must ensure that the RGI outlines are assigned GLIMS IDs One important task is theĪssignment of GLIMS glacier IDs. To conform to the GLIMS data model, and ingestion of the augmentedĭataset into the GLIMS Glacier Database. This will involve the addition of metadata to the RGI glacier outlines RGI and GLIMS communities intend to merge the two sets of outlines. Without the richness of the GLIMS metadata and source information. Glaciers or glacier complexes (not hydrologically divided), though This was achieved: the RGI contains outlines for 171 000 Of the outlines in some regions, and creating a globally complete map of Purposes of filling the geographic gaps in GLIMS, improving the quality ![]() Tad Pfeffer led theĬreation of the Randolph Glacier Inventory (RGI) with the express Segment of the research community and others. Were rich in metadata, but not geographically complete enough for this Outlines, even if it lacked metadata and source information. Level rise have required a globally complete collection of glacier While this collaborative achievement hasīeen impressive, it has not satisfied the needs of all researchers.įor example, those investigating contributions from glaciers to sea Web-based map interface and web map services through which users can Now contains outlines and metadata on 100 000 glaciers. The Global Land Ice Measurements from Space (GLIMS) glacier database wasĮstablished at the National Snow and Ice Data Center (NSIDC) in 2005,Īnd through the collaborative efforts of a global network of scientists,
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