Article (Scientific journals)
Evaluation of CloudSat's Cloud-Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet
Ryan, J. C.; Smith, L. C.; Wu, M. et al.
2020In Journal of Geophysical Research. Atmospheres, 125 (4)
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Keywords :
CloudSat; Greenland Ice Sheet; Arctic; Greenland
Abstract :
[en] The Greenland Ice Sheet is now the single largest cryospheric contributor to global sea-level rise yet uncertainty remains about its future contribution due to complex interactions between increasing snowfall and surface melt. Reducing uncertainty in future snowfall predictions requires sophisticated, physically based climate models evaluated with present-day observations. The accuracy of modeled snowfall rates, however, has yet to be systematically assessed because observations are sparse. Here, we produce high spatial resolution (15 km) snowfall climatologies (2006–2016) derived from CloudSat's 2C-SNOW-PROFILE product to evaluate climate model simulations of snowfall across the Greenland Ice Sheet. In comparison to accumulation datasets acquired from ice cores and airborne accumulation radar, we find that our CloudSat climatologies capture broad spatial patterns of snowfall in both the accumulation and ablation zones. By comparing our CloudSat snowfall climatologies with the Regional Atmospheric Climate Model Version 2.3p2 (RACMO2.3p2), Modèle Atmosphérique Régional 3.9 (MAR3.9), ERA5, and Community Earth System Model version 1 (CESM1), we demonstrate that climate models likely overestimate snowfall rates at the margins of the ice sheet, particularly in South, Southeast, and Northwest Greenland during autumn and winter. Despite this overestimation, there are few areas of the ice sheet where the models and CloudSat substantially disagree about the spatial pattern and seasonality of snowfall rates. We conclude that a combination of CloudSat snowfall observations and the latest generation of climate models has the potential to improve understanding of how snowfall rates respond to increasing air temperatures, thereby constraining one of the largest sources of uncertainty in Greenland's future contribution to global sea levels. © 2020. American Geophysical Union. All Rights Reserved.
Disciplines :
Earth sciences & physical geography
Author, co-author :
Ryan, J. C.;  Institute at Brown for Environment and Society, Brown University, Providence, RI, United States
Smith, L. C.;  Institute at Brown for Environment and Society, Brown University, Providence, RI, United States, Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, United States
Wu, M.;  Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, United States
Cooley, S. W.;  Institute at Brown for Environment and Society, Brown University, Providence, RI, United States, Department of Earth, Environmental and Planetary Sciences, Brown University, Providence, RI, United States
Miège, C.;  Department of Geography Rutgers, The State University of New Jersey, New Brunswick, NJ, United States
Montgomery, L. N.;  Department of Atmospheric and Oceanic Science, University of Colorado Boulder, Boulder, CO, United States
Koenig, L. S.;  National Snow and Ice Data Center, University of Colorado Boulder, Boulder, CO, United States
Fettweis, Xavier  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie
Noël, Brice  ;  Université de Liège - ULiège > Département de géographie > Climatologie et Topoclimatologie ; Université de Liège - ULiège > Sphères
van den Broeke, M. R.;  Institute for Marine and Atmospheric Research Utrecht, Utrecht University, Utrecht, Netherlands
Language :
English
Title :
Evaluation of CloudSat's Cloud-Profiling Radar for Mapping Snowfall Rates Across the Greenland Ice Sheet
Publication date :
January 2020
Journal title :
Journal of Geophysical Research. Atmospheres
ISSN :
2169-897X
eISSN :
2169-8996
Publisher :
Blackwell Publishing
Volume :
125
Issue :
4
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Funders :
NASA - National Aeronautics and Space Administration [US-DC] [US-DC]
F.R.S.-FNRS - Fonds de la Recherche Scientifique [BE]
CÉCI - Consortium des Équipements de Calcul Intensif [BE]
Brown University [US-RI] [US-RI]
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