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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Main Authors: Senf, F., Voigt, Aiko, Clerbaux, N., Hünerbein, A., Deneke, H.
Format: Article in Journal/Newspaper
Language:English
Published: American Geophysical Union 2020
Subjects:
Online Access:https://publikationen.bibliothek.kit.edu/1000125657
https://publikationen.bibliothek.kit.edu/1000125657/91928157
https://doi.org/10.5445/IR/1000125657
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author Senf, F.
Voigt, Aiko
Clerbaux, N.
Hünerbein, A.
Deneke, H.
author_facet Senf, F.
Voigt, Aiko
Clerbaux, N.
Hünerbein, A.
Deneke, H.
author_sort Senf, F.
collection KITopen (Karlsruhe Institute of Technologie)
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.
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op_doi https://doi.org/10.5445/IR/100012565710.1029/2020JD032667
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https://publikationen.bibliothek.kit.edu/1000125657
https://publikationen.bibliothek.kit.edu/1000125657/91928157
https://doi.org/10.5445/IR/1000125657
op_rights https://creativecommons.org/licenses/by/4.0/deed.de
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op_source Journal of geophysical research / D, 125 (19), e2020JD032667
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spelling ftubkarlsruhe:oai:EVASTAR-Karlsruhe.de:1000125657 2025-04-06T15:00:15+00:00 Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic Senf, F. Voigt, Aiko Clerbaux, N. Hünerbein, A. Deneke, H. 2020-11-04 application/pdf https://publikationen.bibliothek.kit.edu/1000125657 https://publikationen.bibliothek.kit.edu/1000125657/91928157 https://doi.org/10.5445/IR/1000125657 eng eng American Geophysical Union info:eu-repo/semantics/altIdentifier/wos/000582482800025 info:eu-repo/semantics/altIdentifier/doi/10.1029/2020JD032667 info:eu-repo/semantics/altIdentifier/issn/0148-0227 info:eu-repo/semantics/altIdentifier/issn/2156-2202 info:eu-repo/semantics/altIdentifier/issn/2169-897X info:eu-repo/semantics/altIdentifier/issn/2169-8996 https://publikationen.bibliothek.kit.edu/1000125657 https://publikationen.bibliothek.kit.edu/1000125657/91928157 https://doi.org/10.5445/IR/1000125657 https://creativecommons.org/licenses/by/4.0/deed.de info:eu-repo/semantics/openAccess Journal of geophysical research / D, 125 (19), e2020JD032667 ISSN: 0148-0227, 2156-2202, 2169-897X, 2169-8996 ddc:550 Earth sciences info:eu-repo/classification/ddc/550 doc-type:article Text info:eu-repo/semantics/article article info:eu-repo/semantics/publishedVersion 2020 ftubkarlsruhe https://doi.org/10.5445/IR/100012565710.1029/2020JD032667 2025-03-11T04:07:47Z 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. Article in Journal/Newspaper North Atlantic KITopen (Karlsruhe Institute of Technologie)
spellingShingle ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
Senf, F.
Voigt, Aiko
Clerbaux, N.
Hünerbein, A.
Deneke, H.
Increasing Resolution and Resolving Convection Improve the Simulation of Cloud-Radiative Effects Over the North Atlantic
title 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_short 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
topic ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
topic_facet ddc:550
Earth sciences
info:eu-repo/classification/ddc/550
url https://publikationen.bibliothek.kit.edu/1000125657
https://publikationen.bibliothek.kit.edu/1000125657/91928157
https://doi.org/10.5445/IR/1000125657