Mapping the aerodynamic roughness of the Greenland Ice Sheet surface using ICESat-2: evaluation over the K-transect

被引:13
|
作者
van Tiggelen, Maurice [1 ]
Smeets, Paul C. J. P. [1 ]
Reijmer, Carleen H. [1 ]
Wouters, Bert [1 ,3 ]
Steiner, Jakob F. [2 ,4 ]
Nieuwstraten, Emile J. [2 ]
Immerzeel, Walter W. [2 ]
van den Broeke, Michiel R. [1 ]
机构
[1] Univ Utrecht, Inst Marine & Atmospher Res IMAU, Utrecht, Netherlands
[2] Univ Utrecht, Dept Phys Geog, Utrecht, Netherlands
[3] Delft Univ Technol, Dept Geosci & Remote Sensing, Delft, Netherlands
[4] Int Ctr Integrated Mt Dev, Kathmandu, Nepal
来源
CRYOSPHERE | 2021年 / 15卷 / 06期
基金
欧洲研究理事会;
关键词
ATMOSPHERIC DRAG COEFFICIENTS; SEA-ICE; MASS-BALANCE; FORM DRAG; PARAMETERIZATION; DISPLACEMENT; PARTITION; CANOPY; HEIGHT; LENGTH;
D O I
10.5194/tc-15-2601-2021
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
The aerodynamic roughness of heat, moisture, and momentum of a natural surface are important parameters in atmospheric models, as they co-determine the intensity of turbulent transfer between the atmosphere and the surface. Unfortunately this parameter is often poorly known, especially in remote areas where neither high-resolution elevation models nor eddy-covariance measurements are available. In this study we adapt a bulk drag partitioning model to estimate the aerodynamic roughness length (z(0m)) such that it can be applied to 1D (i.e. unidirectional) elevation profiles, typically measured by laser altimeters. We apply the model to a rough ice surface on the K-transect (west Greenland Ice Sheet) using UAV photogrammetry, and we evaluate the modelled roughness against in situ eddy-covariance observations. We then present a method to estimate the topography at 1 m horizontal resolution using the ICESat-2 satellite laser altimeter, and we demonstrate the high precision of the satellite elevation profiles against UAV photogrammetry. The currently available satellite profiles are used to map the aerodynamic roughness during different time periods along the K-transect, that is compared to an extensive dataset of in situ observations. We find a considerable spatio-temporal variability in z(0m), ranging between 10(-4) m for a smooth snow surface and 10(-1) m for rough crevassed areas, which confirms the need to incorporate a variable aerodynamic roughness in atmospheric models over ice sheets.
引用
收藏
页码:2601 / 2621
页数:21
相关论文
共 36 条
  • [21] Inferred basal friction and surface mass balance of the Northeast Greenland Ice Stream using data assimilation of ICESat (Ice Cloud and land Elevation Satellite) surface altimetry and ISSM (Ice Sheet System Model)
    Larour, E.
    Utke, J.
    Csatho, B.
    Schenk, A.
    Seroussi, H.
    Morlighem, M.
    Rignot, E.
    Schlegel, N.
    Khazendar, A.
    CRYOSPHERE, 2014, 8 (06): : 2335 - 2351
  • [22] Evaluation of a novel inversion model for surface melt magnitude over the Greenland ice sheet during the 2002 ablation season
    Lampkin, D. J.
    Wade, U.
    INTERNATIONAL JOURNAL OF REMOTE SENSING, 2013, 34 (19) : 6931 - 6946
  • [23] Assessing supraglacial lake depth using ICESat-2, Sentinel-2, TanDEM-X, and in situ sonar measurements over Northeast and Southwest Greenland
    Lutz, Katrina
    Bever, Lily
    Sommer, Christian
    Seehaus, Thorsten
    Humbert, Angelika
    Scheinert, Mirko
    Braun, Matthias
    CRYOSPHERE, 2024, 18 (11): : 5431 - 5449
  • [24] Enhanced resolution mapping of surface melting over the Greenland ice sheet (1979-2019) from spaceborne passive microwave observations
    Colosio, Paolo
    Tedesco, Marco
    Ranzi, Roberto
    PROCEEDINGS OF THE 39TH IAHR WORLD CONGRESS, 2022, : 7169 - 7174
  • [25] Evaluation of Greenland ice sheet surface climate in the HIRHAM regional climate model using automatic weather station data
    Box, JE
    Rinke, A
    JOURNAL OF CLIMATE, 2003, 16 (09) : 1302 - 1319
  • [26] ANTARCTIC ICE SHEET SURFACE MASS BALANCE ESTIMATES FROM 2003 TO 2015 USING ICESAT AND CRYOSAT-2 DATA
    Xie, Huan
    Hai, Gang
    Chen, Lei
    Liu, Shijie
    Liu, Jun
    Tong, Xiaohua
    Li, Rongxing
    XXIII ISPRS CONGRESS, COMMISSION VIII, 2016, 41 (B8): : 549 - 553
  • [27] Evaluation of ICESat-2 ATL03/08 Surface Heights in Urban Environments Using Airborne LiDAR Point Cloud Data
    Zhao, Yi
    Wu, Bin
    Shu, Song
    Yang, Lei
    Wu, Jianping
    Yu, Bailang
    IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2022, 19
  • [28] Assessment of ICESat-2 ice surface elevations over the Chinese Antarctic Research Expedition (CHINARE) route, East Antarctica, based on coordinated multi-sensor observations
    Li, Rongxing
    Li, Hongwei
    Hao, Tong
    Qiao, Gang
    Cui, Haotian
    He, Youquan
    Hai, Gang
    Xie, Huan
    Cheng, Yuan
    Li, Bofeng
    CRYOSPHERE, 2021, 15 (07): : 3083 - 3099
  • [29] Spatial and temporal differences in surface and subsurface meltwater distribution over Greenland ice sheet using multi-frequency passive microwave observations
    Colliander, Andreas
    Mousavi, Mohammad
    Kimball, John S.
    Miller, Julie Z.
    Burgin, Mariko
    REMOTE SENSING OF ENVIRONMENT, 2023, 295
  • [30] Evaluation of Multiple Classifier Systems for Mapping Different Hierarchical Levels of Forest Ecosystems in the Mediterranean Region Using Sentinel-2, Sentinel-1, and ICESat-2 Data
    Mallinis, Giorgos
    Verde, Natalia
    Siachalou, Sofia
    Latinopoulos, Dionisis
    Akratos, Christos
    Kagalou, Ifigenia
    FORESTS, 2023, 14 (11):