Articles | Volume 15, issue 6
https://doi.org/10.5194/tc-15-2623-2021
https://doi.org/10.5194/tc-15-2623-2021
Research article
 | 
14 Jun 2021
Research article |  | 14 Jun 2021

Surface melting over the Greenland ice sheet derived from enhanced resolution passive microwave brightness temperatures (1979–2019)

Paolo Colosio, Marco Tedesco, Roberto Ranzi, and Xavier Fettweis

Related authors

A computationally efficient statistically downscaled 100 m resolution Greenland product from the regional climate model MAR
Marco Tedesco, Paolo Colosio, Xavier Fettweis, and Guido Cervone
The Cryosphere, 17, 5061–5074, https://doi.org/10.5194/tc-17-5061-2023,https://doi.org/10.5194/tc-17-5061-2023, 2023
Short summary
Climatology of Snow Depth and Water Equivalent measurements in the Italian Alps (1967–2020)
Roberto Ranzi, Paolo Colosio, and Giorgio Galeati
Hydrol. Earth Syst. Sci. Discuss., https://doi.org/10.5194/hess-2023-223,https://doi.org/10.5194/hess-2023-223, 2023
Revised manuscript accepted for HESS
Short summary

Related subject area

Discipline: Ice sheets | Subject: Greenland
Subglacial valleys preserved in the highlands of south and east Greenland record restricted ice extent during past warmer climates
Guy J. G. Paxman, Stewart S. R. Jamieson, Aisling M. Dolan, and Michael J. Bentley
The Cryosphere, 18, 1467–1493, https://doi.org/10.5194/tc-18-1467-2024,https://doi.org/10.5194/tc-18-1467-2024, 2024
Short summary
Coupling MAR (Modèle Atmosphérique Régional) with PISM (Parallel Ice Sheet Model) mitigates the positive melt–elevation feedback
Alison Delhasse, Johanna Beckmann, Christoph Kittel, and Xavier Fettweis
The Cryosphere, 18, 633–651, https://doi.org/10.5194/tc-18-633-2024,https://doi.org/10.5194/tc-18-633-2024, 2024
Short summary
Cloud- and ice-albedo feedbacks drive greater Greenland Ice Sheet sensitivity to warming in CMIP6 than in CMIP5
Idunn Aamnes Mostue, Stefan Hofer, Trude Storelvmo, and Xavier Fettweis
The Cryosphere, 18, 475–488, https://doi.org/10.5194/tc-18-475-2024,https://doi.org/10.5194/tc-18-475-2024, 2024
Short summary
Evaluating different geothermal heat-flow maps as basal boundary conditions during spin-up of the Greenland ice sheet
Tong Zhang, William Colgan, Agnes Wansing, Anja Løkkegaard, Gunter Leguy, William H. Lipscomb, and Cunde Xiao
The Cryosphere, 18, 387–402, https://doi.org/10.5194/tc-18-387-2024,https://doi.org/10.5194/tc-18-387-2024, 2024
Short summary
Seasonal evolution of the supraglacial drainage network at Humboldt Glacier, northern Greenland, between 2016 and 2020
Lauren D. Rawlins, David M. Rippin, Andrew J. Sole, Stephen J. Livingstone, and Kang Yang
The Cryosphere, 17, 4729–4750, https://doi.org/10.5194/tc-17-4729-2023,https://doi.org/10.5194/tc-17-4729-2023, 2023
Short summary

Cited articles

Abdalati, W. and Steffen, K.: Passive microwave-derived snow melt regions on the Greenland ice sheet, Geophys. Res. Lett., 22, 787–790, https://doi.org/10.1029/95GL00433, 1995. 
Abdalati, W., Steffen, K., Otto, C., and Jezek, K. C.: Comparison of brightness temperatures from SSMI instruments on the DMSP F8 and FII satellites for Antarctica and the Greenland ice sheet, Int. J. Remote Sens., 16, 1223–1229, https://doi.org/10.1080/01431169508954473, 1995. 
Alexander, P. M., Tedesco, M., Fettweis, X., van de Wal, R. S. W., Smeets, C. J. P. P., and van den Broeke, M. R.: Assessing spatio-temporal variability and trends in modelled and measured Greenland Ice Sheet albedo (2000–2013), The Cryosphere, 8, 2293–2312, https://doi.org/10.5194/tc-8-2293-2014, 2014. 
Alexander, P. M., Tedesco, M., Schlegel, N.-J., Luthcke, S. B., Fettweis, X., and Larour, E.: Greenland Ice Sheet seasonal and spatial mass variability from model simulations and GRACE (2003–2012), The Cryosphere, 10, 1259–1277, https://doi.org/10.5194/tc-10-1259-2016, 2016. 
Armstrong, R., Knowles, K., Brodzik, M., and Hardman, M. A.: DMSP SSM/I-SSMIS Pathfinder Daily EASE-Grid Brightness Temperatures, Version 2, NASA DAAC at the National Snow and Ice Data Center, Boulder, Colorado, USA, available at: https://nsidc.org/data/NSIDC-0032/versions/2 (last access: 26 May 2021), 1994. 
Download
Short summary
We use a new satellite dataset to study the spatiotemporal evolution of surface melting over Greenland at an enhanced resolution of 3.125 km. Using meteorological data and the MAR model, we observe that a dynamic algorithm can best detect surface melting. We found that the melting season is elongating, the melt extent is increasing and that high-resolution data better describe the spatiotemporal evolution of the melting season, which is crucial to improve estimates of sea level rise.