Biases in CloudSat Falling Snow Estimates Resulting from Daylight-Only Operations
Remote Sensing, 2021 Falling snow is a key component of the Earth’s water cycle, and space-based observations provide the best current capability to evaluate it globally. The Cloud Profiling Radar (CPR) on board CloudSat is sensitive to snowfall, and other satellite missions
Lisa Milani, Norman B. Wood
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Improved Hydrometeor Detection Method: An Application to CloudSat [PDF]
Earth and Space Science, 2020 Clouds play an important role in the climate system and are a principal source of uncertainty in climate projections. CloudSat has provided an unprecedented opportunity to study the vertical structure of clouds, and its observations are being widely used
Xiaoyu Hu +5 more
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Evaluation of radar multiple scattering effects in Cloudsat configuration [PDF]
Atmospheric Chemistry and Physics, 2007 MonteCarlo simulations have been performed to evaluate the importance of multiple scattering effects in co- and cross-polar radar returns for 94 GHz radars in Cloudsat and airborne configurations.
A. Battaglia, M. O. Ajewole, C. Simmer
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Synergies and complementarities of CloudSat‐CALIPSO snow observations [PDF]
Journal of Geophysical Research: Atmospheres, 2013 Four years (2007–2010) of colocated 94 GHz CloudSat radar reflectivities and 532 nm CALIPSO Cloud‐Aerosol Lidar with Orthogonal Polarization (CALIOP) backscattering coefficients are used to globally characterize snow‐precipitating clouds. CALIOP is particularly useful for the detection of mixed and supercooled liquid water (SLW) layers.
Battaglia A., Delanoe J.
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Arctic Snowfall from CloudSat Observations and Reanalyses [PDF]
Journal of Climate, 2020 AbstractWhile snowfall makes a major contribution to the hydrological cycle in the Arctic, state-of-the-art climatologies still significantly disagree. We present a satellite-based characterization of snowfall in the Arctic using CloudSat observations, and compare it with various other climatologies.
Edel, L. +6 more
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Remote Sensing, 2020 Satellite remote sensing plays a pivotal role in characterizing hydrometeorological components including cloud types and their associated precipitation.
Vesta Afzali Gorooh +6 more
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Validation of CloudSat-CPR Derived Precipitation Occurrence and Phase Estimates across Canada
Atmosphere, 2021 Snowfall affects the terrestrial climate system at high latitudes through its impacts on local meteorology, freshwater resources and energy balance.
Rithwik Kodamana +1 more
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Evaluation of CloudSat snowfall rate profiles by a comparison with in situ micro-rain radar observations in East Antarctica [PDF]
The Cryosphere, 2019 The Antarctic continent is a vast desert and is the coldest and the most unknown area on Earth. It contains the Antarctic ice sheet, the largest continental water reservoir on Earth that could be affected by the current global warming, leading to sea ...
F. Lemonnier +11 more
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Fast simulators for satellite cloud optical centroid pressure retrievals; evaluation of OMI cloud retrievals [PDF]
Atmospheric Measurement Techniques, 2012 The cloud Optical Centroid Pressure (OCP) is a satellite-derived parameter that is commonly used in trace-gas retrievals to account for the effects of clouds on near-infrared through ultraviolet radiance measurements.
J. Joiner +8 more
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Impacts of active satellite sensors' low-level cloud detection limitations on cloud radiative forcing in the Arctic [PDF]
Atmospheric Chemistry and Physics, 2022 Previous studies revealed that satellites sensors with the best detection capability identify 25 %–40 % and 0 %–25 % fewer clouds below 0.5 and between 0.5–1.0 km, respectively, over the Arctic.
Y. Liu
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