Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic
Clouds interact with atmospheric radiation and substantially modify the Earth's energy budget. Cloud formation processes occur over a vast range of spatial and temporal scales, which make their thorough numerical representation challenging. Therefore, the impact of parameter choices for simulat...
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ftleibnizopen:oai:oai.leibnizopen.de:IW76PYkBdbrxVwz6H38Z 2023-07-30T04:05:22+02:00 Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic Senf, Fabian Voigt, Aiko Clerbaux, Nicolas Hünerbein, Anja Deneke, Hartwig 2020 application/pdf https://oa.tib.eu/renate/handle/123456789/7276 https://doi.org/10.34657/6323 eng eng Hoboken, NJ : Wiley CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ JGR : Atmospheres 125 (2020), Nr. 19 Bias Decomposition Cloud Classification Cloud-Radiative Effects High-Resolution Simulations Meteosat Observations TOA Energy Budget 550 article Text 2020 ftleibnizopen https://doi.org/10.34657/6323 2023-07-10T13:03:14Z Clouds interact with atmospheric radiation and substantially modify the Earth's energy budget. Cloud formation processes occur over a vast range of spatial and temporal scales, which make their thorough numerical representation challenging. Therefore, the impact of parameter choices for simulations of cloud-radiative effects is assessed in the current study. Numerical experiments are carried out using the ICOsahedral Nonhydrostatic (ICON) model with varying grid spacings between 2.5 and 80 km and with different subgrid-scale parameterization approaches. Simulations are performed over the North Atlantic with either one-moment or two-moment microphysics and with convection being parameterized or explicitly resolved by grid-scale dynamics. Simulated cloud-radiative effects are compared to products derived from Meteosat measurements. Furthermore, a sophisticated cloud classification algorithm is applied to understand the differences and dependencies of simulated and observed cloud-radiative effects. The cloud classification algorithm developed for the satellite observations is also applied to the simulation output based on synthetic infrared brightness temperatures, a novel approach that is not impacted by changing insolation and guarantees a consistent and fair comparison. It is found that flux biases originate equally from clear-sky and cloudy parts of the radiation field. Simulated cloud amounts and cloud-radiative effects are dominated by marine, shallow clouds, and their behavior is highly resolution dependent. Bias compensation between shortwave and longwave flux biases, seen in the coarser simulations, is significantly diminished for higher resolutions. Based on the analysis results, it is argued that cloud-microphysical and cloud-radiative properties have to be adjusted to further improve agreement with observed cloud-radiative effects. © 2020. The Authors. publishedVersion Article in Journal/Newspaper North Atlantic LeibnizOpen (The Leibniz Association) |
institution |
Open Polar |
collection |
LeibnizOpen (The Leibniz Association) |
op_collection_id |
ftleibnizopen |
language |
English |
topic |
Bias Decomposition Cloud Classification Cloud-Radiative Effects High-Resolution Simulations Meteosat Observations TOA Energy Budget 550 |
spellingShingle |
Bias Decomposition Cloud Classification Cloud-Radiative Effects High-Resolution Simulations Meteosat Observations TOA Energy Budget 550 Senf, Fabian Voigt, Aiko Clerbaux, Nicolas Hünerbein, Anja Deneke, Hartwig Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
topic_facet |
Bias Decomposition Cloud Classification Cloud-Radiative Effects High-Resolution Simulations Meteosat Observations TOA Energy Budget 550 |
description |
Clouds interact with atmospheric radiation and substantially modify the Earth's energy budget. Cloud formation processes occur over a vast range of spatial and temporal scales, which make their thorough numerical representation challenging. Therefore, the impact of parameter choices for simulations of cloud-radiative effects is assessed in the current study. Numerical experiments are carried out using the ICOsahedral Nonhydrostatic (ICON) model with varying grid spacings between 2.5 and 80 km and with different subgrid-scale parameterization approaches. Simulations are performed over the North Atlantic with either one-moment or two-moment microphysics and with convection being parameterized or explicitly resolved by grid-scale dynamics. Simulated cloud-radiative effects are compared to products derived from Meteosat measurements. Furthermore, a sophisticated cloud classification algorithm is applied to understand the differences and dependencies of simulated and observed cloud-radiative effects. The cloud classification algorithm developed for the satellite observations is also applied to the simulation output based on synthetic infrared brightness temperatures, a novel approach that is not impacted by changing insolation and guarantees a consistent and fair comparison. It is found that flux biases originate equally from clear-sky and cloudy parts of the radiation field. Simulated cloud amounts and cloud-radiative effects are dominated by marine, shallow clouds, and their behavior is highly resolution dependent. Bias compensation between shortwave and longwave flux biases, seen in the coarser simulations, is significantly diminished for higher resolutions. Based on the analysis results, it is argued that cloud-microphysical and cloud-radiative properties have to be adjusted to further improve agreement with observed cloud-radiative effects. © 2020. The Authors. publishedVersion |
format |
Article in Journal/Newspaper |
author |
Senf, Fabian Voigt, Aiko Clerbaux, Nicolas Hünerbein, Anja Deneke, Hartwig |
author_facet |
Senf, Fabian Voigt, Aiko Clerbaux, Nicolas Hünerbein, Anja Deneke, Hartwig |
author_sort |
Senf, Fabian |
title |
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
title_short |
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
title_full |
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
title_fullStr |
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
title_full_unstemmed |
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic |
title_sort |
increasing resolution and resolving convection improve the simulation of cloud-radiative effects over the north atlantic |
publisher |
Hoboken, NJ : Wiley |
publishDate |
2020 |
url |
https://oa.tib.eu/renate/handle/123456789/7276 https://doi.org/10.34657/6323 |
genre |
North Atlantic |
genre_facet |
North Atlantic |
op_source |
JGR : Atmospheres 125 (2020), Nr. 19 |
op_rights |
CC BY 4.0 Unported https://creativecommons.org/licenses/by/4.0/ |
op_doi |
https://doi.org/10.34657/6323 |
_version_ |
1772817217188003840 |