气候变化领域集成服务门户(CCPortal): Comparing simple albedo scaling methods for estimating Arctic glacier mass balance

CCPortal

DOI	10.1016/j.rse.2020.111858
	Comparing simple albedo scaling methods for estimating Arctic glacier mass balance
	Williamson S.N.; Copland L.; Thomson L.; Burgess D.
发表日期	2020
ISSN	00344257
卷号	246
英文摘要	Mass balance measurements in the Canadian Arctic are limited, particularly for smaller glaciers, which introduces significant uncertainties in regional mass balance assessment. Here we report on the correlations between Moderate Resolution Imaging Spectroradiometer (MODIS) Terra albedo measurements (Version 6) and net annual mass balance for five glaciers in the Canadian Arctic over the period 2002–2016. Three glacier albedo aggregation methods are tested for the melt season (June, July and August): minimum, raw average, and interpolated average. These are evaluated in terms of a 53–71% reduction in observations due to cloud cover in the raw albedo time series. For the minimum method, the whole glacier albedo is calculated from the average of the minimum melt season albedo of each grid cell, irrespective of the day on which they occurred, resulting in R2 values between 0.20 and 0.87. In the raw average method, averaging all albedo values within a glacier outline over the melt season improves the correlation to mass balance to a range of 0.61–0.95. In the interpolated average method, linear interpolation of the raw average albedo values to fill cloud gaps, then averaging them, improves the raw average correlations for all ice masses by ~5% (R2 range 0.68–0.97). Overall, the interpolated average albedo method performs substantially better for the smallest glacier than the minimum or the raw average methods. The most negative net mass balance occurs at Grise Fiord Glacier, which is the smallest (<4.0 km2), but not the lowest elevation, glacier analysed. For this glacier, the interpolated average albedo improves the correlation with mass balance to an R2 = 0.68 (p-value <.05), compared to an R2 = 0.17 for the minimum albedo method (p-value >.05). When the five glaciers' interpolated average albedo is correlated to their ensemble mass balance, an R2 = 0.82 is achieved. These results show that interpolated MODIS Terra melt season albedo measurements can realistically approximate net annual glacier mass balance for Arctic glaciers and ice caps, without additional information about precipitation or temperature, and in the absence of a melt model. © 2020
英文关键词	Albedo; Canadian Arctic; Glacier mass balance; MODIS
语种	英语
scopus关键词	Radiometers; Uncertainty analysis; Aggregation methods; Average method; Canadian Arctic; Glacier mass balance; Linear Interpolation; Mass balance; Moderate resolution imaging spectroradiometer; Scaling method; Solar radiation; albedo; cloud cover; correlation; estimation method; glacier mass balance; interpolation; melting; MODIS; precipitation (climatology); temperature; time series analysis; uncertainty analysis; Arctic Ocean
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/179294
作者单位	Department of Geography, Environment and Geomatics, University of Ottawa, Ottawa, Ontario K1N 6N5, Canada; Department of Geography and Planning, Queen's University, Kingston, Ontario K7L 3N6, Canada; Cryosphere Geoscience Section, Natural Resources Canada, Ottawa, Ontario K1A 0E8, Canada
推荐引用方式 GB/T 7714	Williamson S.N.,Copland L.,Thomson L.,et al. Comparing simple albedo scaling methods for estimating Arctic glacier mass balance[J],2020,246.
APA	Williamson S.N.,Copland L.,Thomson L.,&Burgess D..(2020).Comparing simple albedo scaling methods for estimating Arctic glacier mass balance.Remote Sensing of Environment,246.
MLA	Williamson S.N.,et al."Comparing simple albedo scaling methods for estimating Arctic glacier mass balance".Remote Sensing of Environment 246(2020).