This paper presents the physical basis of the Earth Polychromatic Imaging Camera (EPIC)
cloud product algorithms and an initial evaluation of their performance. Since June 2015 …

This paper describes the third part of a series of investigations to develop algorithms for
simultaneous retrieval of aerosol parameters and surface spectral reflectance from …

This paper introduces the OCO2CLD-LIDAR-AUX product, which uses the Cloud-Aerosol
Lidar and Infrared Pathfinder Satellite Observation (CALIPSO) lidar and the Orbiting Carbon …

Abstract Knowledge of cloud geometrical thickness (H) is of importance for the study of
radiative balance and cloud microphysics. However, the retrieval of H remains challenging …

Structural patterns of cloud effective radius (ER) and liquid water content (LWC) profiles are
essential variables of cloud lifecycle and precipitation processes, while observing cloud …

With the ability to observe the entire sunlit side of the Earth, EPIC data have become an
important resource for studying cloud daily variability. Inaccurate cloud masking is a great …

In a companion paper [Davis et al., JQSRT 216, 6–16 (2018)], we used a numerical 1D
radiative transfer (RT) model and the statistical formalism of optimal estimation to quantify …

A new perspective for studying Earth processes has been soundly demonstrated by the
Deep Space Climate Observatory (DSCOVR) mission. For the past 6 years, the first Earth …

Satellite cloud detection over snow and ice has been difficult for passive remote sensing
instruments due to the lack of contrast between clouds and cold/bright surfaces; cloud mask …

A Moon-based spectral radiometer (MBSR) can continuously measure the Earth's outward
total reflection spectral radiative flux across different phases, offering valuable insights into …