Intercomparison of snowfall estimates derived from the CloudSat Cloud Profiling Radar and the ground-based weather radar network over Sweden [PDF]
Accurate snowfall estimates are important for both weather and climate applications. Ground-based weather radars and space-based satellite sensors are often used as viable alternatives to rain gauges to estimate precipitation in this ...
L. Norin +4 more
doaj +1 more source
Spatial and temporal variability of snowfall over Greenland from CloudSat observations [PDF]
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.
R. Bennartz +5 more
doaj +1 more source
How much snow falls on the Antarctic ice sheet? [PDF]
Climate models predict Antarctic precipitation to increase during the 21st century, but their present day Antarctic precipitation differs. A model-independent climatology of the Antarctic precipitation characteristics, such as snowfall rates and ...
C. Palerme +5 more
doaj +1 more source
Mind the gap – Part 1: Accurately locating warm marine boundary layer clouds and precipitation using spaceborne radars [PDF]
Ground-based radar observations show that, over the eastern North Atlantic, 50 % of warm marine boundary layer (WMBL) hydrometeors occur below 1.2 km and have reflectivities of < −17 dBZ, thus making their detection from ...
K. Lamer +7 more
doaj +1 more source
Cloud Occurrences and Cloud Radiative Effects (CREs) from CCCM and CloudSat Radar-Lidar Products. [PDF]
AbstractTwo kinds of cloud products obtained from Cloud‐Aerosol Lidar and Infrared Pathfinder Satellite Observation (CALIPSO), CloudSat, and Moderate Resolution Imaging Spectroradiometer (MODIS) are compared and analyzed in this study: Clouds and the Earth's Radiant Energy System (CERES)‐CALIPSO‐CloudSat‐MODIS (CCCM) product and CloudSat radar‐lidar ...
Ham SH +9 more
europepmc +3 more sources
Assessing observed and modelled spatial distributions of ice water path using satellite data [PDF]
The climate models used in the IPCC AR4 show large differences in monthly mean ice water path (IWP). The most valuable source of information that can be used to potentially constrain the models is global satellite data.
S. Eliasson +4 more
doaj +1 more source
Filling the Gap of Wind Observations Inside Tropical Cyclones
The WIVERN (WInd VElocity Radar Nephoscope) mission, currently under the Phase‐0 of the ESA Earth Explorer program, promises to provide new insight in the coupling between winds and microphysics by globally observing, for the first time, vertical ...
F. Tridon +4 more
doaj +1 more source
Changes in the quantity of terrestrial Arctic snow have far‐reaching implications for the global water‐energy budget, ecosystem development, and cold region flooding.
Fraser King, Christopher G. Fletcher
doaj +1 more source
Uncertainty Analysis for CloudSat Snowfall Retrievals
Abstract A new method to derive radar reflectivity–snow rate (Ze–S) relationships from scattering properties of different ice particle models is presented. Three statistical Ze–i relationships are derived to characterize the best estimate and uncertainties due to ice habit. The derived relationships are applied to CloudSat data to derive
Ralf Bennartz +2 more
openaire +1 more source
Using CloudSat‐CPR Retrievals to Estimate Snow Accumulation in the Canadian Arctic
Snow is a critical contributor to our global water and energy budget, with profound impacts for water resource availability and flooding in cold regions. The vast size and remote nature of the Arctic present serious logistical and financial challenges to
Fraser King, Christopher G. Fletcher
doaj +1 more source

