Earth System Science Data (Jun 2021)

Hydrometeorological, glaciological and geospatial research data from the Peyto Glacier Research Basin in the Canadian Rockies

  • D. Pradhananga,
  • D. Pradhananga,
  • D. Pradhananga,
  • J. W. Pomeroy,
  • C. Aubry-Wake,
  • D. S. Munro,
  • D. S. Munro,
  • J. Shea,
  • J. Shea,
  • M. N. Demuth,
  • M. N. Demuth,
  • M. N. Demuth,
  • N. H. Kirat,
  • B. Menounos,
  • B. Menounos,
  • K. Mukherjee

DOI
https://doi.org/10.5194/essd-13-2875-2021
Journal volume & issue
Vol. 13
pp. 2875 – 2894

Abstract

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This paper presents hydrometeorological, glaciological and geospatial data from the Peyto Glacier Research Basin (PGRB) in the Canadian Rockies. Peyto Glacier has been of interest to glaciological and hydrological researchers since the 1960s, when it was chosen as one of five glacier basins in Canada for the study of mass and water balance during the International Hydrological Decade (IHD, 1965–1974). Intensive studies of the glacier and observations of the glacier mass balance continued after the IHD, when the initial seasonal meteorological stations were discontinued, then restarted as continuous stations in the late 1980s. The corresponding hydrometric observations were discontinued in 1977 and restarted in 2013. Datasets presented in this paper include high-resolution, co-registered digital elevation models (DEMs) derived from original air photos and lidar surveys; hourly off-glacier meteorological data recorded from 1987 to the present; precipitation data from the nearby Bow Summit weather station; and long-term hydrological and glaciological model forcing datasets derived from bias-corrected reanalysis products. These data are crucial for studying climate change and variability in the basin and understanding the hydrological responses of the basin to both glacier and climate change. The comprehensive dataset for the PGRB is a valuable and exceptionally long-standing testament to the impacts of climate change on the cryosphere in the high-mountain environment. The dataset is publicly available from Federated Research Data Repository at https://doi.org/10.20383/101.0259 (Pradhananga et al., 2020).