Peter Kuma
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View article: Ship‐Based Lidar Evaluation of Southern Ocean Low Clouds in the Storm‐Resolving General Circulation Model ICON and the ERA5 and MERRA‐2 Reanalyses
Ship‐Based Lidar Evaluation of Southern Ocean Low Clouds in the Storm‐Resolving General Circulation Model ICON and the ERA5 and MERRA‐2 Reanalyses Open
Global storm resolving models (GSRMs) represent the next generation of global climate models. One of them is a 5‐km Icosahedral Nonhydrostatic Weather and Climate Model (ICON). Its high resolution means that parameterizations of convection…
View article: nextGEMS: entering the era of kilometer-scale Earth system modeling
nextGEMS: entering the era of kilometer-scale Earth system modeling Open
The Next Generation of Earth Modeling Systems (nextGEMS) project aimed to produce multidecadal climate simulations, for the first time, with resolved kilometer-scale (km-scale) processes in the ocean, land, and atmosphere. In only 3 years,…
View article: nextGEMS: entering the era of kilometer-scale Earth system modeling
nextGEMS: entering the era of kilometer-scale Earth system modeling Open
The Next Generation of Earth Modeling Systems (nextGEMS) project aimed to produce multi-decadal climate simulations, for the first time, with resolved kilometer-scale (km-scale) processes in the ocean, land, and atmosphere. In only three y…
View article: Evaluating Cloud Properties at Scott Base: Comparing Ceilometer Observations With ERA5, JRA55, and MERRA2 Reanalyses Using an Instrument Simulator
Evaluating Cloud Properties at Scott Base: Comparing Ceilometer Observations With ERA5, JRA55, and MERRA2 Reanalyses Using an Instrument Simulator Open
This study compares CL51 ceilometer observations made at Scott Base, Antarctica, with statistics from the ERA5, JRA55, and MERRA2 reanalyses. To enhance the comparison we use a lidar instrument simulator to derive cloud statistics from the…
View article: Ship-based lidar evaluation of Southern Ocean clouds in the storm-resolving general circulation model ICON and the ERA5 and MERRA-2 reanalyses
Ship-based lidar evaluation of Southern Ocean clouds in the storm-resolving general circulation model ICON and the ERA5 and MERRA-2 reanalyses Open
Global storm-resolving models (GSRMs) are the upcoming global climate models. One of them is a 5-km Icosahedral Nonhydrostatic Weather and Climate Model (ICON). Its high resolution means that parameterizations of convection and clouds, inc…
View article: Evaluating Cloud Properties at Scott Base: Comparing Ceilometer Observations with ERA5, JRA55, and MERRA2 Reanalyses Using an Instrument Simulator
Evaluating Cloud Properties at Scott Base: Comparing Ceilometer Observations with ERA5, JRA55, and MERRA2 Reanalyses Using an Instrument Simulator Open
This study compares CL51 ceilometer observations made at Scott Base, Antarctica, with statistics from the ERA5, JRA55, and MERRA2 reanalyses. To enhance the comparison we use a lidar instrument simulator to derive cloud statistics from the…
View article: Comment on essd-2023-424
Comment on essd-2023-424 Open
Abstract. We present a new Cloud Class Climatology dataset (CCClim), quantifying the global distribution of established morphological cloud types over 35 years. CCClim combines active and passive sensor data with machine learning (ML) and …
View article: Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Open
As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and precipitation.…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity
Climate Model Code Genealogy and Its Relation to Climate Feedbacks and Sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Comment on egusphere-2023-349
Comment on egusphere-2023-349 Open
Abstract. As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and prec…
View article: Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model
Assessing the cloud radiative bias at Macquarie Island in the ACCESS-AM2 model Open
As a long-standing problem in climate models, large positive shortwave radiation biases exist at the surface over the Southern Ocean, impacting the accurate simulation of sea surface temperature, atmospheric circulation, and precipitation.…
View article: Climate Model Code Genealogy and its Relation to Climate Feedbacks and Sensitivity
Climate Model Code Genealogy and its Relation to Climate Feedbacks and Sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation are essential to ensure the accuracy of climate models. We analyse cloud bia…
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation are essential to ensure the accuracy of climate models. We analyse cloud bia…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation models (GCMs) and Earth system models (ESMs) are developed by a large number of modeling groups globally. They use a wide range of representations of physical processes, allowing for structural (code) uncer…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation (GCM) models and Earth system models (ESMs) are developed by a large group of modelling centres internationally. They use a broad range of implementations of climate dynamics and physical parametrisations, …
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation is essential to ensure the accuracy of climate models. We analyse cloud bias…
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation is essential to ensure the accuracy of climate models. We analyse cloud bias…
View article: Climate model code genealogy and its relation to climate feedbacks and sensitivity
Climate model code genealogy and its relation to climate feedbacks and sensitivity Open
Contemporary general circulation models and Earth system models are developed by a large group of modelling centres internationally. They use a broad range of implementations of climate dynamics and physical parametrisations, allowing for …
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Uncertainty in cloud feedbacks in climate models is a major limitation in projections of future climate. Therefore, evaluation and improvement of cloud simulation is essential to ensure the accuracy of climate models. We analyse cloud bias…
View article: Comment on acp-2022-184
Comment on acp-2022-184 Open
Uncertainty in cloud feedback in climate models is a major limitation in projections of future climate. Therefore, to ensure the accuracy of climate models, evaluation and improvement of cloud simulation is essential. We analyse cloud bias…
View article: Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals
Detection of supercooled liquid water containing clouds with ceilometers: development and evaluation of deterministic and data-driven retrievals Open
Cloud and aerosol lidars measuring backscatter and depolarization ratio are the most suitable lidars to detect cloud phase (liquid, ice, or mixed phase). However, such instruments are not widely deployed as part of operational networks. In…
View article: Machine learning of cloud types in satellite observations and climate models
Machine learning of cloud types in satellite observations and climate models Open
Presentation given at the 13th Annual SeRC Meeting, Bro, Sweden on 13 May 2022.
View article: Comment on amt-2022-10
Comment on amt-2022-10 Open
Abstract. Cloud and aerosol lidars measuring backscatter and depolarization ratio are the most suitable lidars to detect cloud phase (liquid, ice, or mixed phase). However, such instruments are not widely deployed as part of operational ne…
View article: Cloud type machine learning shows better present-day cloud representation in climate models is associated with higher climate sensitivity
Cloud type machine learning shows better present-day cloud representation in climate models is associated with higher climate sensitivity Open
<p>Uncertainty in cloud feedback in climate models is a major limitation in projections of future climate. We analyse cloud biases and trends in climate models relative to satellite observations, and relate them to equilibrium climat…
View article: Machine learning of cloud types shows higher climate sensitivity is associated with lower cloud biases
Machine learning of cloud types shows higher climate sensitivity is associated with lower cloud biases Open
Uncertainty in cloud feedback in climate models is a major limitation in projections of future climate. Therefore, to ensure the accuracy of climate models, evaluation and improvement of cloud simulation is essential. We analyse cloud bias…
View article: Machine learning of cloud types shows higher climate sensitivity is associated with lower cloud biases
Machine learning of cloud types shows higher climate sensitivity is associated with lower cloud biases Open
Uncertainty in cloud feedback in climate models is a major limitation in projections of future climate. Therefore, to ensure the accuracy of climate models, evaluation and improvement of cloud simulation is essential. We analyse cloud bias…