the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Effects of surface roughness and light-absorbing impurities on glacier surface albedo, August-one ice cap, Qilian Mountains, China
Abstract. Surface albedo is the main influence on surface melt for Qilian mountain glaciers. Fluctuations in surface albedo are due primarily to variations in micro scale surface roughness (ξ) and light-absorbing impurities (LAIs) in this region. However, combined ξ and LAIs effects over glacier surface albedo are rarely studied and surface roughness rarely considered in the albedo parameterization methods in this region. The present study was conducted in tandem with an intensive photogrammetric survey of glacier surface roughness, LAIs samples and albedo observations along the main flow-line of August-one ice cap during the 2018 melt season. Automatic photogrammetry of surface roughness and automatic observation of glacier surface albedo was conducted at middle of the ice cap in 2018. Detailed analysis indicates a negative power function and positive linear relationship exist between ξ and albedo for snow and ice surface, respectively. ξ could explain 68% of snow surface albedo and 38 % of ice surface albedo variation in melt season. Effective LAIs concentration (Cξ) calculated by consider ξ effect over LAIs deposition account for more than 63 % of albedo variation at ice surface. Using either ξ or Cξ to estimate ice surface albedo would be a great improvement over some current parameterization methods, such as assuming a constant mean ice surface albedo. A finer resolution of above 50 mm and above 100 mm is recommended for ice and snow ξ calculations, which explain more albedo variation than coarse resolutions below it. With advances in topographic surveys to improve the resolution, extent and availability of topographic datasets and surface roughness, appropriate parameterizations of albedo based on ξ have exciting potential to be applied over large scale snow cover and glacier.
This preprint has been withdrawn.
-
Withdrawal notice
This preprint has been withdrawn.
-
Preprint
(3099 KB)
Interactive discussion
-
RC1: 'Review comments of Liu et al 2020', Anonymous Referee #1, 08 May 2020
-
AC1: 'Reply to referee1', Junfeng Liu, 27 Jul 2020
- AC3: 'Reply to referee', Junfeng Liu, 30 Aug 2020
-
AC1: 'Reply to referee1', Junfeng Liu, 27 Jul 2020
-
RC2: 'Review of Liu et al, 2020', Alvaro Ayala, 09 Jul 2020
-
AC2: 'Reply to referee2', Junfeng Liu, 01 Aug 2020
- AC4: 'Reply to referee', Junfeng Liu, 31 Aug 2020
-
AC2: 'Reply to referee2', Junfeng Liu, 01 Aug 2020
Interactive discussion
-
RC1: 'Review comments of Liu et al 2020', Anonymous Referee #1, 08 May 2020
-
AC1: 'Reply to referee1', Junfeng Liu, 27 Jul 2020
- AC3: 'Reply to referee', Junfeng Liu, 30 Aug 2020
-
AC1: 'Reply to referee1', Junfeng Liu, 27 Jul 2020
-
RC2: 'Review of Liu et al, 2020', Alvaro Ayala, 09 Jul 2020
-
AC2: 'Reply to referee2', Junfeng Liu, 01 Aug 2020
- AC4: 'Reply to referee', Junfeng Liu, 31 Aug 2020
-
AC2: 'Reply to referee2', Junfeng Liu, 01 Aug 2020
Viewed
HTML | XML | Total | BibTeX | EndNote | |
---|---|---|---|---|---|
770 | 413 | 84 | 1,267 | 80 | 83 |
- HTML: 770
- PDF: 413
- XML: 84
- Total: 1,267
- BibTeX: 80
- EndNote: 83
Viewed (geographical distribution)
Country | # | Views | % |
---|
Total: | 0 |
HTML: | 0 |
PDF: | 0 |
XML: | 0 |
- 1