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Constraining reanalysis snowfall over the Arctic Ocean using CloudSat observations

Published on Jan 30, 2020in Geophysical Research Letters4.578
· DOI :10.1029/2019GL086426
A. Cabaj1
Estimated H-index: 1
(U of T: University of Toronto),
Paul J. Kushner34
Estimated H-index: 34
(U of T: University of Toronto)
+ 2 AuthorsAlek A. Petty10
Estimated H-index: 10
(UMD: University of Maryland, College Park)
Abstract
  • References (39)
  • Citations (1)
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References39
Newest
#1Ralf Bennartz (UW: University of Wisconsin-Madison)H-Index: 32
#2FrankFellH-Index: 9
Last. Dirk Schuettemeyer (ESTEC: European Space Research and Technology Centre)H-Index: 1
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Abstract. We use the CloudSat 2006–2016 data record to estimate snowfall over the Greenland Ice Sheet (GrIS). We first evaluate CloudSat snowfall retrievals with respect to remaining ground-clutter issues. Comparing CloudSat observations to the GrIS topography (obtained from airborne altimetry measurements during IceBridge) we find that at the edges of the GrIS spurious high-snowfall retrievals caused by ground clutter occasionally affect the operational snowfall product. After correcting for th...
1 CitationsSource
#1Caixin Wang (NPI: Norwegian Polar Institute)H-Index: 6
#2Robert M. Graham (NPI: Norwegian Polar Institute)H-Index: 13
Last. Mats A. Granskog (NPI: Norwegian Polar Institute)H-Index: 32
view all 5 authors...
Abstract. Rapid changes are occurring in the Arctic, including a reduction in sea ice thickness and coverage and a shift towards younger and thinner sea ice. Snow and sea ice models are often used to study these ongoing changes in the Arctic, and are typically forced by atmospheric reanalyses in absence of observations. ERA5 is a new global reanalysis that will replace the widely used ERA-Interim (ERA-I). In this study, we compare the 2 m air temperature (T2M), snowfall (SF) and total precipitat...
2 CitationsSource
#1Cyril Palerme (PSL Research University)H-Index: 5
#2Chantal Claud (PSL Research University)H-Index: 3
Last. Christophe Genthon (CNRS: Centre national de la recherche scientifique)H-Index: 35
view all 5 authors...
CloudSat has provided the first spaceborne snowfall observations in polar regions. Nevertheless, CloudSat retrievals may be affected by ground clutter even if the snowfall rate at the surface is estimated from the reflectivity measured at about 1200 m above land/ice surface. In this study, the impact of ground clutter contamination on CloudSat snowfall retrievals over the Antarctic and Greenland ice sheets is investigated. Our results suggest that ground clutter affects CloudSat snowfall observa...
3 CitationsSource
#1Niels Souverijns (Katholieke Universiteit Leuven)H-Index: 5
#2Alexandra Gossart (Katholieke Universiteit Leuven)H-Index: 4
Last. Nicole Van Lipzig (Katholieke Universiteit Leuven)H-Index: 3
view all 11 authors...
In-situ observations of snowfall over the Antarctic Ice Sheet are scarce. Currently, continent-wide assessments of snowfall are limited to information from the Cloud Profiling Radar on board of CloudSat, which has not been evaluated up to now. In this study, snowfall derived from CloudSat is evaluated using three ground-based vertically profiling 24-GHz precipitation radars (Micro Rain Radars; MRRs). Firstly, using the MRRs long-term measurement records, an assessment of the uncertainty caused b...
7 CitationsSource
#1Alek A. Petty (UMD: University of Maryland, College Park)H-Index: 10
#2Melinda A. Webster (GSFC: Goddard Space Flight Center)H-Index: 7
Last. Thorsten Markus (GSFC: Goddard Space Flight Center)H-Index: 37
view all 4 authors...
The NASA Eulerian Snow On Sea Ice Model (NESOSIM) is a new open source model that produces daily estimates of the depth and density of snow on sea ice across the polar oceans. NESOSIM has been developed in a three-dimensional Eulerian framework and includes two (vertical) snow layers and several simple parameterizations to represent the key sources and sinks of snow on sea ice. The model is forced with daily inputs of snowfall and near-surface winds (from reanalyses), sea ice concentration (from...
Source
#1Lisa Milani (National Research Council)H-Index: 7
#2Mark S. Kulie (MTU: Michigan Technological University)H-Index: 15
Last. Norman B. Wood (UW: University of Wisconsin-Madison)H-Index: 15
view all 9 authors...
Abstract CloudSat spaceborne radar snowfall retrievals using two different methodologies – the 2C-SNOW-PROFILE (2C-SNOW) CloudSat product and the combined Kulie and Bennartz (2009) technique with the Hiley et al. (2011) reflectivity (Z) to snowfall rate (S) conversion (KBH) - are compared over Antarctica and surrounding Southern Ocean environments. KBH algorithm sensitivity tests are performed to demonstrate how retrievals are affected by algorithm assumptions (e.g., vertical reflectivity contin...
10 CitationsSource
#1Melinda A. Webster (GSFC: Goddard Space Flight Center)H-Index: 7
#2Sebastian Gerland (NPI: Norwegian Polar Institute)H-Index: 28
Last. Matthew Sturm (UAF: University of Alaska Fairbanks)H-Index: 14
view all 9 authors...
Snow is the most reflective, and also the most insulative, natural material on Earth. Consequently, it is an integral part of the sea-ice and climate systems. However, the spatial and temporal heterogeneities of snow pose challenges for observing, understanding and modelling those systems under anthropogenic warming. Here, we survey the snow–ice system, then provide recommendations for overcoming present challenges. These include: collecting process-oriented observations for model diagnostics an...
5 CitationsSource
#1Philip Rostosky (University of Bremen)H-Index: 1
#2Gunnar Spreen (University of Bremen)H-Index: 18
Last. Christian Melsheimer (University of Bremen)H-Index: 14
view all 6 authors...
7 CitationsSource
#1George Duffy (Vandy: Vanderbilt University)H-Index: 1
#2Ralf Bennartz (UW: University of Wisconsin-Madison)H-Index: 32
2 CitationsSource
#1Linette N. Boisvert (GSFC: Goddard Space Flight Center)H-Index: 13
#2Melinda A. Webster (GSFC: Goddard Space Flight Center)H-Index: 7
Last. Richard I. Cullather (UMD: University of Maryland, College Park)H-Index: 21
view all 6 authors...
AbstractPrecipitation over the Arctic Ocean has a significant impact on the basin-scale freshwater and energy budgets but is one of the most poorly constrained variables in atmospheric reanalyses. ...
11 CitationsSource
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#1Alek A. Petty (UMD: University of Maryland, College Park)H-Index: 10
#2Nathan T. Kurtz (GSFC: Goddard Space Flight Center)H-Index: 18
Last. Thomas Neumann (GSFC: Goddard Space Flight Center)H-Index: 31
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