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...
Main Author: | |
---|---|
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 |