4.4 Article

The Randolph Glacier Inventory: a globally complete inventory of glaciers

期刊

JOURNAL OF GLACIOLOGY
卷 60, 期 221, 页码 537-552

出版社

INT GLACIOL SOC
DOI: 10.3189/2014JoG13J176

关键词

Antarctic glaciology; Arctic glaciology; glacier delineation; glacier mapping; remote sensing; tropical glaciology

资金

  1. NASA's Cryospheric Research Branch [NNX11AF41G, NNX13AK37G, NNX11A023G]
  2. US Geological Survey's Alaska Climate Science Center
  3. US National Park Service [H9911080028]
  4. European Space Agency [4000101 7781 10/I-AM]
  5. ice2sea programme (European Union) [226375]
  6. German Research Foundation (DFG) [BO 3199/2-1]
  7. US National Science Foundation [ANTI 043649, EAR 0943742]
  8. Austrian Science Fund (FWF) [1900-N21, P25362-N26]
  9. Natural Sciences and Engineering Research Council of Canada
  10. Environment Canada
  11. Directorate For Geosciences [0943599] Funding Source: National Science Foundation
  12. Division Of Earth Sciences [1038818, 1038907] Funding Source: National Science Foundation
  13. Austrian Science Fund (FWF) [I 900] Funding Source: researchfish

向作者/读者索取更多资源

The Randolph Glacier Inventory (RGI) is a globally complete collection of digital outlines of glaciers, excluding the ice sheets, developed to meet the needs of the Fifth Assessment of the Intergovernmental Panel on Climate Change for estimates of past and future mass balance. The RGI was created with limited resources in a short period. Priority was given to completeness of coverage, but a limited, uniform set of attributes is attached to each of the similar to 198 000 glaciers in its latest version, 3.2. Satellite imagery from 1999-2010 provided most of the outlines. Their total extent is estimated as 726 800 +/- 34 000 km(2). The uncertainty, about +/- 5%, is derived from careful single-glacier and basin-scale uncertainty estimates and comparisons with inventories that were not sources for the RGI. The main contributors to uncertainty are probably misinterpretation of seasonal snow cover and debris cover. These errors appear not to be normally distributed, and quantifying them reliably is an unsolved problem. Combined with digital elevation models, the RGI glacier outlines yield hypsometries that can be combined with atmospheric data or model outputs for analysis of the impacts of climatic change on glaciers. The RGI has already proved its value in the generation of significantly improved aggregate estimates of glacier mass changes and total volume, and thus actual and potential contributions to sea-level rise.

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