DOI: 10.5194/tc-14-3249-2020
论文题名: Seasonal and interannual variability of melt-season albedo at Haig Glacier, Canadian Rocky Mountains
作者: Marshall S.J. ; Miller K.
刊名: Cryosphere
ISSN: 19940416
出版年: 2020
卷: 14, 期: 10 起始页码: 3249
结束页码: 3267
语种: 英语
英文关键词: ablation
; albedo
; energy balance
; glacier mass balance
; mass balance
; melting
; mountain environment
; parameterization
; seasonal variation
; snowpack
; surface energy
; weather station
; wildfire
; Canada
; Haig Glacier
; Rocky Mountains
英文摘要: In situ observations of summer (June through August, or JJA) albedo are presented for the period 2002–2017 from Haig Glacier in the Canadian Rocky Mountains. The observations provide insight into the seasonal evolution and interannual variability of snow and ice albedo, including the effects of summer snowfall, the decay of snow albedo through the melt season, and the potential short-term impacts of regional wildfire activity on glacier-albedo reductions. Mean JJA albedo (1) recorded at an automatic weather station in the upper ablation zone of the glacier was S D 0:55-0.07 over this period, with no evidence of longterm trends in surface albedo. Each summer the surface conditions at the weather station undergo a transition from a dry, reflective spring snowpack (S 0:8) to a wet, homogeneous midsummer snowpack (S 0:5) to exposed, impurity-rich glacier ice, with a measured albedo of 0.21 0.06 over the study period. The ice albedo drops to -0.12 during years of intense regional wildfire activity such as 2003 and 2017, but it recovers from this in subsequent years. This seasonal albedo decline is well simulated through a parameterization of snow-albedo decay based on cumulative positive degree days (PDDs), but the parameterization does not capture the impact of summer snowfall events, which cause transient increases in albedo and significantly reduce glacier melt. We introduce this effect through a stochastic parameterization of summer precipitation events within a surface energy balance model. The amount of precipitation and the date of snowfall are randomly selected for each model realization based on a predefined number of summer snow events. This stochastic parameterization provides an improved representation of the mean summer albedo and mass balance at Haig Glacier. We also suggest modifications to conventional degree-day melt factors to better capture the effects of seasonal albedo evolution in temperature-index or positive-degree-day melt models on mountain glaciers. Climate, hydrology, or glacier mass balance models that use these methods typically use a binary rather than continuum approach to prescribing melt factors, with one melt factor for snow and one for ice. As alternatives, monthly melt factors effectively capture the seasonal albedo evolution, or melt factors can be estimated as a function of the albedo where these data are available. >© 2020 Copernicus GmbH. All rights reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/164533
Appears in Collections: 气候变化与战略
There are no files associated with this item.
作者单位: Department of Geography, University of Calgary, Calgary, AB T2N 1N4, Canada; Environment and Climate Change Canada, Gatineau, QC, Canada
Recommended Citation:
Marshall S.J.,Miller K.. Seasonal and interannual variability of melt-season albedo at Haig Glacier, Canadian Rocky Mountains[J]. Cryosphere,2020-01-01,14(10)