| Citation: |
XIAO Qianyu, ZHOU Chunxia, LIU Yong. Surface Melting Detection of the Greenland Ice Sheet Using Advanced Diurnal Amplitude Variations Algorithm[J]. Geomatics and Information Science of Wuhan University, 2024, 49(10): 1931-1939. DOI: 10.13203/j.whugis20220245
|
The Greenland ice sheet is one of the main contributors to the global sea level rise, and the mass loss caused by its surface melting and meltwater runoff accounts for about 60% of the total mass loss of the ice sheet, so it is of great significance to study the surface melting of the Greenland ice sheet.
Based on the 37 GHz vertical polarization passive microwave data of special sensor microwave imager sounder, the advanced diurnal amplitude variations (ADAV) method is proposed to detect the surface melting of the Greenland ice sheet.
Compared with the air temperature data of automatic weather stations, the average accuracy of the detection results of the ADAV method using dynamic threshold is better than that of the traditional diurnal amplitude variations method using a fixed threshold, and the passive microwave data time has no obvious influence on the detection accuracy.
The freeze-thaw analysis of the Greenland ice sheet based on this method found that in 2019, the area with the most melting days on the ice sheet melted up to 165 d. The melting area reached the maximum on July 31st, accounting for 67% of the total ice sheet area. Three melting peaks arose in summer, and there were several winter melting events on the south coast. The ADAV method and its application to high spatial resolution passive microwave data have promoted the development of refining ice sheet freezing and thawing observations.
| [1] |
Mote T L, Anderson M R, Kuivinen K C, et al. Passive Microwave-Derived Spatial and Temporal Variations of Summer Melt on the Greenland Ice Sheet[J]. Annals of Glaciology, 1993, 17： 233-238.
|
| [2] |
Steffen K, Abdalati W, Stroeve J. Climate Sensitivity Studies of the Greenland Ice Sheet Using Satellite AVHRR, SMMR, SSM/I and in Situ Data[J]. Meteorology and Atmospheric Physics, 1993, 51（3）： 239-258.
|
| [3] |
van den Broeke M R, Enderlin E M, Howat I M, et al. On the Recent Contribution of the Greenland Ice Sheet to Sea Level Change[J]. The Cryosphere, 2016, 10（5）： 1933-1946.
|
| [4] |
Mote T L, Anderson M R. Variations in Snowpack Melt on the Greenland Ice Sheet Based on Passive-Microwave Measurements[J]. Journal of Glaciology, 1995, 41（137）： 51-60.
|
| [5] |
Abdalati W, Steffen K. Snowmelt on the Greenland Ice Sheet as Derived from Passive Microwave Satellite Data[J]. Journal of Climate, 1997, 10（2）： 165-175.
|
| [6] |
Mote T L. Greenland Surface Melt Trends 1973—2007： Evidence of a Large Increase in 2007[J]. Geophysical Research Letters, 2007, 34（22）： L22507.
|
| [7] |
Tedesco M. Snowmelt Detection over the Greenland Ice Sheet from SSM/I Brightness Temperature Daily Variations[J]. Geophysical Research Letters, 2007, 34（2）： L02504.
|
| [8] |
Tedesco M, Fettweis X. Unprecedented Atmospheric Conditions （1948—2019） Drive the 2019 Exceptional Melting Season over the Greenland Ice Sheet[J]. The Cryosphere, 2020, 14（4）： 1209-1223.
|
| [9] |
Colosio P, Tedesco M, Ranzi R, et al. Surface Melting over the Greenland Ice Sheet Derived from Enhanced Resolution Passive Microwave Brightness Temperatures （1979—2019）[J]. The Cryosphere, 2021, 15（6）： 2623-2646.
|
| [10] |
Zwally H J, Fiegles S.Extent and Duration of Antarctic Surface Melting[J]. Journal of Glaciology, 1994, 40（136）： 463-475.
|
| [11] |
Ramage J M,Isacks B L. Determination of Melt-Onset and Refreeze Timing on Southeast Alaskan Icefields Using SSM/I Diurnal Amplitude Variations[J]. Annals of Glaciology, 2002, 34： 391-398.
|
| [12] |
Abdalati W, Steffen K. Passive Microwave-Derived Snow Melt Regions on the Greenland Ice Sheet[J]. Geophysical Research Letters, 1995, 22（7）： 787-790.
|
| [13] |
Zheng L, Zhou C X, Liu R X,et al.Antarctic Snowmelt Detected by Diurnal Variations of AMSR-E Brightness Temperature[J]. Remote Sensing, 2018, 10（9）： 1391.
|
| [14] |
Morlighem M, Williams C N, Rignot E, et al. BedMachine V3： Complete Bed Topography and Ocean Bathymetry Mapping of Greenland from Multibeam Echo Sounding Combined with Mass Conservation[J]. Geophysical Research Letters, 2017, 44（21）： 11051-11061.
|
| [15] |
张保军, 王泽民. 联合卫星重力、卫星测高和海洋资料研究全球海平面变化[J]. 武汉大学学报（信息科学版）, 2015, 40（11）： 1453-1459.
Zhang Baojun, Wang Zemin. Global Sea Level Variations Estimated from Satellite Altimetry, GRACE and Oceanographic Data[J]. Geomatics and Information Science of Wuhan University, 2015, 40（11）： 1453-1459.
|
| [16] |
Chen Z Q, Chi Z H, Zinglersen K B, et al. A New Image Mosaic of Greenland Using Landsat-8 OLI Images[J].Science Bulletin,2020,65（7）： 522-524.
|
| [17] |
Brodzik M J, Long D G, Hardman M A, et al. MEaSUREs Calibrated Enhanced-Resolution Passive Microwave Daily EASE-Grid 2.0 Brightness Temperature ESDR, Version 1[EB/OL]. （2016-12-26）[2021–12–20]. https：//doi.org/10.5067/MEASURES/CRYOSPHERE/NSIDC-0630.001.
|
| [18] |
Howat I M, Negrete A, Smith B E. The Greenland Ice Mapping Project （GIMP） Land Classification and Surface Elevation Data Sets[J]. The Cryosphere, 2014, 8（4）： 1509-1518.
|
| [19] |
Ahlstrøm A P, Team P P. A New Programme for Monitoring the Mass Loss of the Greenland Ice Sheet[J]. Geological Survey of Denmark and Greenland Bulletin, 2008, 15： 61-64.
|
| [20] |
Pitcher L H, Smith L C, Gleason C J, et al. Direct Observation of Winter Meltwater Drainage from the Greenland Ice Sheet[J]. Geophysical Research Letters, 2020, 47（9）： e2019GL086521.
|
| [21] |
Rosin P L. Unimodal Thresholding[J]. Pattern Recognition, 2001, 34（11）： 2083-2096.
|
| [22] |
Zheng L, Zhou C X, Wang K. Enhanced Winter Snowmelt in the Antarctic Peninsula： Automatic Snowmelt Identification from Radar Scatterometer[J]. Remote Sensing of Environment, 2020, 246： 111835.
|
| [23] |
Picard G, Fily M. Surface Melting Observations in Antarctica by Microwave Radiometers： Correcting 26-Year Time Series from Changes in Acquisition Hours[J]. Remote Sensing of Environment, 2006, 104（3）： 325-336.
|
| [24] |
Bengtsson L, Andrae U, Aspelien T, et al. The HARMONIE-AROME Model Configuration in the ALADIN-HIRLAM NWP System[J]. Monthly Weather Review, 2017, 145（5）： 1919-1935.
|
Supported by: Beijing Renhe Information Technology Co., Ltd. 
DownLoad: