Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...

Cloud liquid water path, albedo, and cloud fraction susceptibilities for marine warm boundary-layer clouds are quantified using the Meteosat retrieved cloud microphysical properties at the ARM Eastern North Atlantic (ENA) observatory in the Azores. The Meteosat cloud retrievals are based on the meth...

Full description

Bibliographic Details
Main Author: Qiu, Shaoyue
Format: Dataset
Language:English
Published: Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) 2024
Subjects:
Online Access:https://dx.doi.org/10.5439/2310436
https://www.osti.gov/servlets/purl/2310436/
id ftdatacite:10.5439/2310436
record_format openpolar
spelling ftdatacite:10.5439/2310436 2024-04-28T08:30:35+00:00 Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ... Qiu, Shaoyue 2024 https://dx.doi.org/10.5439/2310436 https://www.osti.gov/servlets/purl/2310436/ en eng Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States) 54 Environmental Sciences LWP susceptibility;albedo susceptibility ;cloud fraction susceptibility ;effective radius susceptibility ;Cloud susceptibility dataset Numeric Data Dataset 2024 ftdatacite https://doi.org/10.5439/2310436 2024-04-02T11:32:28Z Cloud liquid water path, albedo, and cloud fraction susceptibilities for marine warm boundary-layer clouds are quantified using the Meteosat retrieved cloud microphysical properties at the ARM Eastern North Atlantic (ENA) observatory in the Azores. The Meteosat cloud retrievals are based on the methods applied by the Clouds and the Earth’s Radiant Energy System (CERES) project, which are specifically tailored to support the ARM user facility over the ARM ground-based observation sites (enavisstpx2dm11minnisX1.c1). Cloud susceptibility is quantified as the slope between cloud properties and Nd within a 1-degree-by-1-degree grid box at each satellite time step using a least-square regression. To reduce uncertainties associated with the adiabatic assumption in the Nd retrieval, for each cloud object, we exclude cloudy pixels at the cloud edge, defined as those adjacent to cloud-free pixels. To minimize influence of cloud heterogeneity and co-variability on the retrieved cloud susceptibility, cloud properties ... Dataset North Atlantic DataCite Metadata Store (German National Library of Science and Technology)
institution Open Polar
collection DataCite Metadata Store (German National Library of Science and Technology)
op_collection_id ftdatacite
language English
topic 54 Environmental Sciences
LWP susceptibility;albedo susceptibility ;cloud fraction susceptibility ;effective radius susceptibility ;Cloud susceptibility
spellingShingle 54 Environmental Sciences
LWP susceptibility;albedo susceptibility ;cloud fraction susceptibility ;effective radius susceptibility ;Cloud susceptibility
Qiu, Shaoyue
Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
topic_facet 54 Environmental Sciences
LWP susceptibility;albedo susceptibility ;cloud fraction susceptibility ;effective radius susceptibility ;Cloud susceptibility
description Cloud liquid water path, albedo, and cloud fraction susceptibilities for marine warm boundary-layer clouds are quantified using the Meteosat retrieved cloud microphysical properties at the ARM Eastern North Atlantic (ENA) observatory in the Azores. The Meteosat cloud retrievals are based on the methods applied by the Clouds and the Earth’s Radiant Energy System (CERES) project, which are specifically tailored to support the ARM user facility over the ARM ground-based observation sites (enavisstpx2dm11minnisX1.c1). Cloud susceptibility is quantified as the slope between cloud properties and Nd within a 1-degree-by-1-degree grid box at each satellite time step using a least-square regression. To reduce uncertainties associated with the adiabatic assumption in the Nd retrieval, for each cloud object, we exclude cloudy pixels at the cloud edge, defined as those adjacent to cloud-free pixels. To minimize influence of cloud heterogeneity and co-variability on the retrieved cloud susceptibility, cloud properties ...
format Dataset
author Qiu, Shaoyue
author_facet Qiu, Shaoyue
author_sort Qiu, Shaoyue
title Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
title_short Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
title_full Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
title_fullStr Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
title_full_unstemmed Warm boundary-layer cloud properties and cloud susceptibilities product at the ARM ENA observatory ...
title_sort warm boundary-layer cloud properties and cloud susceptibilities product at the arm ena observatory ...
publisher Atmospheric Radiation Measurement (ARM) Archive, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (US); ARM Data Center, Oak Ridge National Laboratory (ORNL), Oak Ridge, TN (United States)
publishDate 2024
url https://dx.doi.org/10.5439/2310436
https://www.osti.gov/servlets/purl/2310436/
genre North Atlantic
genre_facet North Atlantic
op_doi https://doi.org/10.5439/2310436
_version_ 1797588394724818944