Marine Cold‐air Outbreak snowfall in the north Atlantic: A CloudSat perspective
This study analyzes the influence of marine cold‐air outbreaks (MCAO) on snowfall and
cloud properties in the North Atlantic Ocean using CloudSat observations. Comparing …
cloud properties in the North Atlantic Ocean using CloudSat observations. Comparing …
Evaluation of rainfall‐snowfall separation performance in remote sensing datasets
The first step to accurately measure global snowfall is to separate rainfall from snowfall
correctly (ie, precipitation phase discrimination). This study first evaluates the phase …
correctly (ie, precipitation phase discrimination). This study first evaluates the phase …
The precipitation imaging package: Phase partitioning capabilities
Surface precipitation phase is a fundamental meteorological property with immense
importance. Accurate classification of phase from satellite remotely sensed observations is …
importance. Accurate classification of phase from satellite remotely sensed observations is …
Lake Superior evaporation: A long-term eddy covariance dataset at Stannard Rock Lighthouse (2008–2022)
EM Nicholls, C Spence, N Hedstrom, JD Lenters… - Scientific Data, 2024 - nature.com
Robust, accurate, and direct measurements of evaporation and related energy fluxes on the
Laurentian Great Lakes are necessary to understand the large historical range in water …
Laurentian Great Lakes are necessary to understand the large historical range in water …
[HTML][HTML] Exploring snowfall variability through the high-latitude measurement of snowfall (HiLaMS) field campaign
SJ Cooper, TS L'Ecuyer, MA Wolff… - Bulletin of the …, 2022 - journals.ametsoc.org
Abstract The High-Latitude Measurement of Snowfall (HiLaMS) campaign explored
variability in snowfall properties and processes at meteorologically distinct field sites located …
variability in snowfall properties and processes at meteorologically distinct field sites located …
Introducing the video in situ snowfall sensor (VISSS)
The open source Video In Situ Snowfall Sensor (VISSS) is introduced as a novel instrument
for the characterization of particle shape and size in snowfall. The VISSS consists of two …
for the characterization of particle shape and size in snowfall. The VISSS consists of two …
DeepPrecip: A deep neural network for precipitation retrievals
Remotely-sensed precipitation retrievals are critical for advancing our understanding of
global energy and hydrologic cycles in remote regions. Radar reflectivity profiles of the lower …
global energy and hydrologic cycles in remote regions. Radar reflectivity profiles of the lower …
[HTML][HTML] Anthropogenic influence has significantly affected snowfall changes in Eurasia
W Lin, H Chen, W Wang, D Zhang, F Wang, W Bi - Atmospheric Research, 2024 - Elsevier
It has been widely reported that anthropogenic influences are detectable with high
confidence in global warming. However, whether human activities have an impact on …
confidence in global warming. However, whether human activities have an impact on …
[HTML][HTML] Primary Modes of Northern Hemisphere Snowfall Particle Size Distributions
A comprehensive understanding of snowfall microphysics is crucial for enhancing the
accuracy of remote sensing snowfall retrievals. However, variations in regional and …
accuracy of remote sensing snowfall retrievals. However, variations in regional and …
Vertical profile climatology of polarimetric radar variables and retrieved microphysical parameters in synoptic and lake effect snowstorms
This study derives polarimetric radar vertical profiles and microphysical retrievals for 25
Synoptic Snow (SS) and 23 Lake Effect Snow (LES) cases using the Range‐Defined Quasi …
Synoptic Snow (SS) and 23 Lake Effect Snow (LES) cases using the Range‐Defined Quasi …