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Confronting the challenge of modeling cloud and precipitation microphysics
In the atmosphere, microphysics refers to the microscale processes that affect cloud and
precipitation particles and is a key linkage among the various components of Earth's …
precipitation particles and is a key linkage among the various components of Earth's …
A general database of hydrometeor single scattering properties at microwave and sub-millimetre wavelengths
A main limitation today in simulations and inversions of microwave observations of ice
hydrometeors (cloud ice, snow, hail, etc.) is the lack of data describing the interaction …
hydrometeors (cloud ice, snow, hail, etc.) is the lack of data describing the interaction …
Ice crystal number concentration estimates from lidar–radar satellite remote sensing–Part 1: Method and evaluation
The number concentration of cloud particles is a key quantity for understanding aerosol–
cloud interactions and describing clouds in climate and numerical weather prediction …
cloud interactions and describing clouds in climate and numerical weather prediction …
An update on global atmospheric ice estimates from satellite observations and reanalyses
This study assesses the global distribution of mean atmospheric ice mass from current state-
of-the-art estimates and its variability on daily and seasonal timescales. Ice water path (IWP) …
of-the-art estimates and its variability on daily and seasonal timescales. Ice water path (IWP) …
[HTML][HTML] Combining Passive Infrared and Microwave Satellite Observations to Investigate Cloud Microphysical Properties: A Review
Clouds play a key role in the Earth's radiation budget, weather, and hydrological cycle, as
well as the radiative and thermodynamic components of the climate system. Spaceborne …
well as the radiative and thermodynamic components of the climate system. Spaceborne …
Cirrus cloud retrieval with MSG/SEVIRI using artificial neural networks
Cirrus clouds play an important role in climate as they tend to warm the Earth–atmosphere
system. Nevertheless their physical properties remain one of the largest sources of …
system. Nevertheless their physical properties remain one of the largest sources of …
A neural network approach to estimating a posteriori distributions of Bayesian retrieval problems
A neural-network-based method, quantile regression neural networks (QRNNs), is proposed
as a novel approach to estimating the a posteriori distribution of Bayesian remote sensing …
as a novel approach to estimating the a posteriori distribution of Bayesian remote sensing …
Retrieval of an ice water path over the ocean from ISMAR and MARSS millimeter and submillimeter brightness temperatures
A neural-network-based retrieval method to determine the snow ice water path (SIWP),
liquid water path (LWP), and integrated water vapor (IWV) from millimeter and submillimeter …
liquid water path (LWP), and integrated water vapor (IWV) from millimeter and submillimeter …
Spectrum synergy for investigating cloud microphysics
Observations from spaceborne microwave (MW) and infrared (IR) passive sensors are the
backbone of current satellite meteorology, essential for data assimilation into modern …
backbone of current satellite meteorology, essential for data assimilation into modern …
Ice water path retrievals from Meteosat-9 using quantile regression neural networks
The relationship between geostationary radiances and ice water path (IWP) is complex, and
traditional retrieval approaches are not optimal. This work applies machine learning to …
traditional retrieval approaches are not optimal. This work applies machine learning to …