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The randolph glacier inventory: A globally complete inventory of glaciers

  • W. Tad Pfeffer
  • , Anthony A. Arendt
  • , Andrew Bliss
  • , Tobias Bolch
  • , J. Graham Cogley
  • , Alex S. Gardner
  • , Jon Ove Hagen
  • , Regine Hock
  • , Georg Kaser
  • , Christian Kienholz
  • , Evan S. Miles
  • , Geir Moholdt
  • , Nico Mölg
  • , Frank Paul
  • , Valentina Radić
  • , Philipp Rastner
  • , Bruce H. Raup
  • , Justin Rich
  • , Martin J. Sharp
  • , L. M. Andreassen
  • S. Bajracharya, N. E. Barrand, M. J. Beedle, E. Berthier, R. Bhambri, I. Brown, D. O. Burgess, E. W. Burgess, F. Cawkwell, T. Chinn, L. Copland, N. J. Cullen, B. Davies, H. De Angelis, A. G. Fountain, H. Frey, B. A. Giffen, N. F. Glasser, S. D. Gurney, W. Hagg, D. K. Hall, U. K. Haritashya, G. Hartmann, S. Herreid, I. Howat, H. Jiskoot, T. E. Khromova, A. Klein, J. Kohler, M. König, D. Kriegel, S. Kutuzov, I. Lavrentiev, R. Le Bris, X. Li, W. F. Manley, C. Mayer, B. Menounos, A. Mercer, P. Mool, A. Negrete, G. Nosenko, C. Nuth, A. Osmonov, R. Pettersson, A. Racoviteanu, R. Ranzi, M. A. Sarikaya, C. Schneider, O. Sigurdsson, P. Sirguey, C. R. Stokes, R. Wheate, G. J. Wolken, L. Z. Wu, F. R. Wyatt
  • University of Colorado Boulder
  • University of Alaska Fairbanks
  • University of Zurich
  • Technische Universität Dresden
  • Trent University
  • Clark University
  • University of Oslo
  • Uppsala University
  • University of Innsbruck
  • University of Cambridge
  • University of California at San Diego
  • University of British Columbia
  • University of Alberta
  • Norwegian Water Resources and Energy Directorate
  • International Centre for Integrated Mountain Development Nepal
  • University of Birmingham
  • University of Northern British Columbia
  • Laboratoire d'Etudes en Géophysique et Océanographie Spatiales
  • Wadia Institute of Himalayan Geology
  • Stockholm University
  • Natural Resources Canada
  • NIWA
  • University of Otago
  • Aberystwyth University
  • Portland State University
  • U.S. Department of the Interior
  • University of Reading
  • Ludwig Maximilian University of Munich
  • NASA Goddard Space Flight Center
  • University of Dayton
  • Alberta Geological Survey
  • Ohio State University
  • University of Lethbridge
  • Russian Academy of Sciences
  • Texas A&M University
  • Norwegian Polar Institute
  • Helmholtz Centre Potsdam - German Research Centre for Geosciences
  • CAS - Cold and Arid Regions Environmental and Engineering Research Institute
  • Bayerische Akademie der Wissenschaften
  • Central Asian Institute of Applied Geosciences
  • Laboratoire de Glaciologie et Géophysique de L'Environnement
  • University of Brescia
  • Fatih University
  • RWTH Aachen University
  • Meteorological Office of Iceland
  • Durham University
  • Alaska Department of Natural Resources

Research output: Contribution to journalArticlepeer-review

Abstract

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 ~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 000km2. 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.

Original languageEnglish
Pages (from-to)537-552
Number of pages16
JournalJournal of Glaciology
Volume60
Issue number221
DOIs
Publication statusPublished - Jun 2014

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 13 - Climate Action
    SDG 13 Climate Action

Keywords

  • Antarctic glaciology
  • Arctic glaciology
  • Glacier delineation
  • Glacier mapping
  • Remote sensing
  • Tropical glaciology

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