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Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle

CITE Title : Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle Personal Author(s) : Kwa, Anna;Clark, Spencer K.;Henn, Brian;Brenowitz, Noah D.;McGibbon, Jeremy;Watt‐Meyer, Oliver;Perkins, W. Andre;Harris, Lucas;Bretherton, Christopher S.; Published Date : 2023 Source : Journal of Advances in Modeling Earth Systems, 15(5) DOI : https://doi.org/10.1029/2022ms003400 Journal Title : Journal of Advances in Modeling Earth Systems Kwa, Anna et al. (2023). Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle. 15(5). https://doi.org/10.1029/2022ms003400 Kwa, Anna et al. "Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle" 15, no. 5 (2023), https://doi.org/10.1029/2022ms003400 Kwa, Anna et al. "Machine‐Learned Climate Model Corrections From a Global Storm‐Resolving Model: Performance Across the Annual Cycle" vol. 15, no. 5, 2023, https://doi.org/10.1029/2022ms003400 Export RIS Citation Information.

:

Kwa, Anna

;

Clark, Spencer K.

2023 | Journal of Advances in Modeling Earth Systems, 15(5)

:

One approach to improving the accuracy of a coarse-grid global climate model is to add machine-learned (ML) state-dependent corrections to the prognos...
Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations

CITE Title : Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations Personal Author(s) : Watt‐Meyer, Oliver;Brenowitz, Noah D.;Clark, Spencer K.;Henn, Brian;Kwa, Anna;McGibbon, Jeremy;Perkins, W. Andre;Bretherton, Christopher S.; Published Date : 2021 Source : Geophysical Research Letters, 48(15) DOI : https://doi.org/10.1029/2021GL092555 Journal Title : Geophysical Research Letters Watt‐Meyer, Oliver et al. (2021). Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations. 48(15). https://doi.org/10.1029/2021GL092555 Watt‐Meyer, Oliver et al. "Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations" 48, no. 15 (2021), https://doi.org/10.1029/2021GL092555 Watt‐Meyer, Oliver et al. "Correcting Weather and Climate Models by Machine Learning Nudged Historical Simulations" vol. 48, no. 15, 2021, https://doi.org/10.1029/2021GL092555 Export RIS Citation Information.

:

Watt‐Meyer, Oliver

;

Brenowitz, Noah D.

2021 | Geophysical Research Letters, 48(15)

:

Due to limited resolution and inaccurate physical parameterizations, weather and climate models consistently develop biases compared to the observed a...
Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations

CITE Title : Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations Personal Author(s) : Clark, Spencer K.;Brenowitz, Noah D.;Henn, Brian;Kwa, Anna;McGibbon, Jeremy;Perkins, W. Andre;Watt‐Meyer, Oliver;Bretherton, Christopher S.;Harris, Lucas M.; Published Date : 2022 Source : Journal of Advances in Modeling Earth Systems, 14(9) DOI : https://doi.org/10.1029/2022ms003219 Journal Title : Journal of Advances in Modeling Earth Systems Clark, Spencer K. et al. (2022). Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations. 14(9). https://doi.org/10.1029/2022ms003219 Clark, Spencer K. et al. "Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations" 14, no. 9 (2022), https://doi.org/10.1029/2022ms003219 Clark, Spencer K. et al. "Correcting a 200 km Resolution Climate Model in Multiple Climates by Machine Learning From 25 km Resolution Simulations" vol. 14, no. 9, 2022, https://doi.org/10.1029/2022ms003219 Export RIS Citation Information.

:

Clark, Spencer K.

;

Brenowitz, Noah D.

2022 | Journal of Advances in Modeling Earth Systems, 14(9)

:

Bretherton et al. (2022, https://doi.org/10.1029/2021MS002794 ) demonstrated a successful approach for using machine learning (ML) to help a coarse-r...
Scale Analysis of Moist Thermodynamics in a Simple Model and the Relationship between Moisture Modes and Gravity Waves

CITE Title : Scale Analysis of Moist Thermodynamics in a Simple Model and the Relationship between Moisture Modes and Gravity Waves Personal Author(s) : Adames, Ángel F.;Kim, Daehyun;Clark, Spencer K.;Ming, Yi;Inoue, Kuniaki; Published Date : 2019 Source : Journal of the Atmospheric Sciences, 76(12), 3863-3881 DOI : https://doi.org/10.1175/JAS-D-19-0121.1 Journal Title : Journal of the Atmospheric Sciences Adames, Ángel F. et al. (2019). Scale Analysis of Moist Thermodynamics in a Simple Model and the Relationship between Moisture Modes and Gravity Waves. 76(12). https://doi.org/10.1175/JAS-D-19-0121.1 Adames, Ángel F. et al. "Scale Analysis of Moist Thermodynamics in a Simple Model and the Relationship between Moisture Modes and Gravity Waves" 76, no. 12 (2019), https://doi.org/10.1175/JAS-D-19-0121.1 Adames, Ángel F. et al. "Scale Analysis of Moist Thermodynamics in a Simple Model and the Relationship between Moisture Modes and Gravity Waves" vol. 76, no. 12, 2019, https://doi.org/10.1175/JAS-D-19-0121.1 Export RIS Citation Information.

:

Adames, Ángel F. ;

Kim, Daehyun

2019 | Journal of the Atmospheric Sciences, 76(12), 3863-3881

:

Observations and theory of convectively coupled equatorial waves suggest that they can be categorized into two distinct groups. Moisture modes are wav...
The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings

CITE Title : The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings Personal Author(s) : Clark, Spencer K.;Ming, Yi;Held, Isaac M.;Phillipps, Peter J.; Published Date : 2018 Source : Journal of Climate, 31(9), 3659-3678. DOI : https://doi.org/10.1175/jcli-d-17-0723.1 Journal Title : Journal of Climate Clark, Spencer K. et al. (2018). The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings. 31(9). https://doi.org/10.1175/jcli-d-17-0723.1 Clark, Spencer K. et al. "The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings" 31, no. 9 (2018), https://doi.org/10.1175/jcli-d-17-0723.1 Clark, Spencer K. et al. "The Role of the Water Vapor Feedback in the ITCZ Response to Hemispherically Asymmetric Forcings" vol. 31, no. 9, 2018, https://doi.org/10.1175/jcli-d-17-0723.1 Export RIS Citation Information.

:

Clark, Spencer K. ;

Ming, Yi

2018 | Journal of Climate, 31(9), 3659-3678.

:

In comprehensive and idealized general circulation models, hemispherically asymmetric forcings lead to shifts in the latitude of the intertropical con...
Atmospheric blocking in an aquaplanet and the impact of orography

CITE Title : Atmospheric blocking in an aquaplanet and the impact of orography Personal Author(s) : Narinesingh, Veeshan;Booth, James F.;Clark, Spencer K.;Ming, Yi; Published Date : 2020 Source : Weather Clim. Dynam., 1, 293–311, 2020 DOI : https://doi.org/10.5194/wcd-1-293-2020 Journal Title : Weather and Climate Dynamics Narinesingh, Veeshan et al. (2020). Atmospheric blocking in an aquaplanet and the impact of orography. 1(2). https://doi.org/10.5194/wcd-1-293-2020 Narinesingh, Veeshan et al. "Atmospheric blocking in an aquaplanet and the impact of orography" 1, no. 2 (2020), https://doi.org/10.5194/wcd-1-293-2020 Narinesingh, Veeshan et al. "Atmospheric blocking in an aquaplanet and the impact of orography" vol. 1, no. 2, 2020, https://doi.org/10.5194/wcd-1-293-2020 Export RIS Citation Information.

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Narinesingh, Veeshan ;

Booth, James F.

2020 | Weather Clim. Dynam., 1, 293–311, 2020

:

Many fundamental questions remain about the roles and effects of stationary forcing on atmospheric blocking. As such, this work utilizes an idealized ...
Correcting coarse-grid weather and climate models by machine learning from global storm-resolving simulations

CITE Title : Correcting coarse-grid weather and climate models by machine learning from global storm-resolving simulations Personal Author(s) : Bretherton, Christopher S.;Henn, Brian;Kwa, Anna;Brenowitz, Noah D.;Watt‐Meyer, Oliver;McGibbon, Jeremy;Perkins, W. Andre;Clark, Spencer K.;Harris, Lucas; Published Date : 2022 Source : Journal of Advances in Modeling Earth Systems, 14, e2021MS002794 DOI : https://doi.org/10.1029/2021MS002794 Journal Title : Journal of Advances in Modeling Earth Systems Bretherton, Christopher S. et al. (2022). Correcting coarse-grid weather and climate models by machine learning from global storm-resolving simulations. 14(2). https://doi.org/10.1029/2021MS002794 Bretherton, Christopher S. et al. "Correcting coarse-grid weather and climate models by machine learning from global storm-resolving simulations" 14, no. 2 (2022), https://doi.org/10.1029/2021MS002794 Bretherton, Christopher S. et al. "Correcting coarse-grid weather and climate models by machine learning from global storm-resolving simulations" vol. 14, no. 2, 2022, https://doi.org/10.1029/2021MS002794 Export RIS Citation Information.

:

Bretherton, Christopher S.

;

Henn, Brian

2022 | Journal of Advances in Modeling Earth Systems, 14, e2021MS002794

:

Global atmospheric “storm-resolving” models with horizontal grid spacing of less than 5 km resolve deep cumulus convection and flow in complex ter...
The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models

CITE Title : The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models Personal Author(s) : Guendelman, Ilai;Merlis, Timothy M.;Cheng, Kai‐Yuan;Harris, Lucas M.;Bretherton, Christopher S.;Bolot, Maximilien;Zhou, Linjiong;Kaltenbaugh, Alex;Clark, Spencer K.;Fueglistaler, Stephan; Published Date : 2024 Source : Geophysical Research Letters, 51(7) DOI : https://doi.org/10.1029/2023gl107008 Journal Title : Geophysical Research Letters Guendelman, Ilai et al. (2024). The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models. 51(7). https://doi.org/10.1029/2023gl107008 Guendelman, Ilai et al. "The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models" 51, no. 7 (2024), https://doi.org/10.1029/2023gl107008 Guendelman, Ilai et al. "The Precipitation Response to Warming and CO2 Increase: A Comparison of a Global Storm Resolving Model and CMIP6 Models" vol. 51, no. 7, 2024, https://doi.org/10.1029/2023gl107008 Export RIS Citation Information.

:

Guendelman, Ilai

;

Merlis, Timothy M.

2024 | Geophysical Research Letters, 51(7)

:

Global storm‐resolving models (GSRMs) that can explicitly resolve some of deep convection are now being integrated for climate timescales. GSRMs are...
Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation

CITE Title : Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation Personal Author(s) : Watt‐Meyer, Oliver;Brenowitz, Noah D.;Clark, Spencer K.;Henn, Brian;Kwa, Anna;McGibbon, Jeremy;Perkins, W. Andre;Harris, Lucas;Bretherton, Christopher S.; Published Date : 2024 Source : Journal of Advances in Modeling Earth Systems, 16(2) DOI : https://doi.org/10.1029/2023ms003668 Journal Title : Journal of Advances in Modeling Earth Systems Watt‐Meyer, Oliver et al. (2024). Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation. 16(2). https://doi.org/10.1029/2023ms003668 Watt‐Meyer, Oliver et al. "Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation" 16, no. 2 (2024), https://doi.org/10.1029/2023ms003668 Watt‐Meyer, Oliver et al. "Neural Network Parameterization of Subgrid‐Scale Physics From a Realistic Geography Global Storm‐Resolving Simulation" vol. 16, no. 2, 2024, https://doi.org/10.1029/2023ms003668 Export RIS Citation Information.

:

Watt‐Meyer, Oliver

;

Brenowitz, Noah D.

2024 | Journal of Advances in Modeling Earth Systems, 16(2)

:

Parameterization of subgrid‐scale processes is a major source of uncertainty in global atmospheric model simulations. Global storm‐resolving simul...
Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection

CITE Title : Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection Personal Author(s) : Sanford, Clayton;Kwa, Anna;Watt‐Meyer, Oliver;Clark, Spencer K.;Brenowitz, Noah;McGibbon, Jeremy;Bretherton, Christopher; Published Date : 2023 Source : Journal of Advances in Modeling Earth Systems, 15(11) DOI : https://doi.org/10.1029/2023ms003809 Journal Title : Journal of Advances in Modeling Earth Systems Sanford, Clayton et al. (2023). Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection. 15(11). https://doi.org/10.1029/2023ms003809 Sanford, Clayton et al. "Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection" 15, no. 11 (2023), https://doi.org/10.1029/2023ms003809 Sanford, Clayton et al. "Improving the Reliability of ML‐Corrected Climate Models With Novelty Detection" vol. 15, no. 11, 2023, https://doi.org/10.1029/2023ms003809 Export RIS Citation Information.

:

Sanford, Clayton

;

Kwa, Anna

2023 | Journal of Advances in Modeling Earth Systems, 15(11)

:

Using machine learning (ML) for the online correction of coarse‐resolution atmospheric models has proven effective in reducing biases in near‐surf...
A Machine Learning Parameterization of Clouds in a Coarse‐Resolution Climate Model for Unbiased Radiation

CITE Title : A Machine Learning Parameterization of Clouds in a Coarse‐Resolution Climate Model for Unbiased Radiation Personal Author(s) : Henn, Brian;Jauregui, Yakelyn R.;Clark, Spencer K.;Brenowitz, Noah D.;McGibbon, Jeremy;Watt‐Meyer, Oliver;Pauling, Andrew G.;Bretherton, Christopher S.; Published Date : 2024 Source : Journal of Advances in Modeling Earth Systems, 16(3) DOI : https://doi.org/10.1029/2023ms003949 Journal Title : Journal of Advances in Modeling Earth Systems Henn, Brian et al. (2024). A Machine Learning Parameterization of Clouds in a Coarse‐Resolution Climate Model for Unbiased Radiation. 16(3). https://doi.org/10.1029/2023ms003949 Henn, Brian et al. "A Machine Learning Parameterization of Clouds in a Coarse‐Resolution Climate Model for Unbiased Radiation" 16, no. 3 (2024), https://doi.org/10.1029/2023ms003949 Henn, Brian et al. "A Machine Learning Parameterization of Clouds in a Coarse‐Resolution Climate Model for Unbiased Radiation" vol. 16, no. 3, 2024, https://doi.org/10.1029/2023ms003949 Export RIS Citation Information.

:

Henn, Brian

;

Jauregui, Yakelyn R.

2024 | Journal of Advances in Modeling Earth Systems, 16(3)

:

Coarse‐grid weather and climate models rely particularly on parameterizations of cloud fields, and coarse‐grained cloud fields from a fine‐grid ...
fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model

CITE Title : fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model Personal Author(s) : McGibbon, Jeremy;Brenowitz, Noah D.;Cheeseman, Mark;Clark, Spencer K.;Dahm, Johann P. S.;Davis, Eddie C.;Elbert, Oliver D.;George, Rhea C.;Harris, Lucas M.;Henn, Brian;Kwa, Anna;Perkins, W. Andre;Watt-Meyer, Oliver;Wicky, Tobias F.;Bretherton, Christopher S.;Fuhrer, Oliver; Published Date : 2021 Source : Geoscientific Model Development, 14(7), 4401-4409 DOI : https://doi.org/10.5194/gmd-14-4401-2021 Journal Title : Geoscientific Model Development McGibbon, Jeremy et al. (2021). fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model. 14(7). https://doi.org/10.5194/gmd-14-4401-2021 McGibbon, Jeremy et al. "fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model" 14, no. 7 (2021), https://doi.org/10.5194/gmd-14-4401-2021 McGibbon, Jeremy et al. "fv3gfs-wrapper: a Python wrapper of the FV3GFS atmospheric model" vol. 14, no. 7, 2021, https://doi.org/10.5194/gmd-14-4401-2021 Export RIS Citation Information.

:

McGibbon, Jeremy

;

Brenowitz, Noah D.

2021 | Geoscientific Model Development, 14(7), 4401-4409

:

Simulation software in geophysics is traditionally written in Fortran or C++ due to the stringent performance requirements these codes have to satisfy...
Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection

CITE Title : Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection Personal Author(s) : Bolot, Maximilien;Harris, Lucas M.;Cheng, Kai-Yuan;Merlis, Timothy M.;Blossey, Peter N.;Bretherton, Christopher S.;Clark, Spencer K.;Kaltenbaugh, Alex;Zhou, Linjiong;Fueglistaler, Stephan; Published Date : 2023 Source : npj Climate and Atmospheric Science, 6(1) DOI : https://doi.org/10.1038/s41612-023-00525-w Journal Title : npj Climate and Atmospheric Science Bolot, Maximilien et al. (2023). Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection. 6(1). https://doi.org/10.1038/s41612-023-00525-w Bolot, Maximilien et al. "Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection" 6, no. 1 (2023), https://doi.org/10.1038/s41612-023-00525-w Bolot, Maximilien et al. "Kilometer-scale global warming simulations and active sensors reveal changes in tropical deep convection" vol. 6, no. 1, 2023, https://doi.org/10.1038/s41612-023-00525-w Export RIS Citation Information.

:

Bolot, Maximilien

;

Harris, Lucas M.

2023 | npj Climate and Atmospheric Science, 6(1)

:

Changes in tropical deep convection with global warming are a leading source of uncertainty for future climate projections. A comparison of the respon...
Monsoon Low Pressure System–Like Variability in an Idealized Moist Model

CITE Title : Monsoon Low Pressure System–Like Variability in an Idealized Moist Model Personal Author(s) : Clark, Spencer K.;Ming, Yi;Adames, Ángel F.; Published Date : 2020 Source : Journal of Climate, 33(6), 2051-2074 DOI : https://doi.org/10.1175/jcli-d-19-0289.1 Journal Title : Journal of Climate Clark, Spencer K. et al. (2020). Monsoon Low Pressure System–Like Variability in an Idealized Moist Model. 33(6). https://doi.org/10.1175/jcli-d-19-0289.1 Clark, Spencer K. and Ming, Yi and Adames, Ángel F. "Monsoon Low Pressure System–Like Variability in an Idealized Moist Model" 33, no. 6 (2020), https://doi.org/10.1175/jcli-d-19-0289.1 Clark, Spencer K. et al. "Monsoon Low Pressure System–Like Variability in an Idealized Moist Model" vol. 33, no. 6, 2020, https://doi.org/10.1175/jcli-d-19-0289.1 Export RIS Citation Information.

:

Clark, Spencer K. ;

Ming, Yi

2020 | Journal of Climate, 33(6), 2051-2074

:

In this paper, it is shown that westward-propagating monsoon low pressure system–like disturbances in the South Asian monsoon region can be simulate...
The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change

CITE Title : The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change Personal Author(s) : Merlis, Timothy M.;Guendelman, Ilai;Cheng, Kai‐Yuan;Harris, Lucas;Chen, Yan‐Ting;Bretherton, Christopher S.;Bolot, Maximilien;Zhou, Linjiong;Kaltenbaugh, Alex;Clark, Spencer K.;Fueglistaler, Stephan; Published Date : 2024 Source : Geophysical Research Letters, 51(23) DOI : https://doi.org/10.1029/2024GL111549 Journal Title : Geophysical Research Letters Merlis, Timothy M. et al. (2024). The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change. 51(23). https://doi.org/10.1029/2024GL111549 Merlis, Timothy M. et al. "The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change" 51, no. 23 (2024), https://doi.org/10.1029/2024GL111549 Merlis, Timothy M. et al. "The Vertical Structure of Tropical Temperature Change in Global Storm‐Resolving Model Simulations of Climate Change" vol. 51, no. 23, 2024, https://doi.org/10.1029/2024GL111549 Export RIS Citation Information.

:

Merlis, Timothy M.

;

Guendelman, Ilai

2024 | Geophysical Research Letters, 51(23)

:

Global storm‐resolving model (GSRM) simulations (kilometer‐scale horizontal resolution) of the atmosphere can capture the interaction between the ...
S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections

CITE Title : S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections Personal Author(s) : Xiang, Baoqiang;Harris, Lucas;Delworth, Thomas L.;Wang, Bin;Chen, Guosen;Chen, Jan-Huey;Clark, Spencer K.;Cooke, William F.;Gao, Kun;Huff, J. Jacob;Jia, Liwei;Johnson, Nathaniel C.;Kapnick, Sarah B.;Lu, Feiyu;McHugh, Colleen;Sun, Yongqiang;Tong, Mingjing;Yang, Xiaosong;Zeng, Fanrong;Zhao, Ming;Zhou, Linjiong;Zhou, Xiaqiong; Published Date : 2021 Source : Bulletin of the American Meteorological Society, 103(2), E463–E484 DOI : https://doi.org/10.1175/BAMS-D-21-0124.1 Journal Title : Bulletin of the American Meteorological Society Xiang, Baoqiang et al. (2021). S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections. 102(3). https://doi.org/10.1175/BAMS-D-21-0124.1 Xiang, Baoqiang et al. "S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections" 102, no. 3 (2021), https://doi.org/10.1175/BAMS-D-21-0124.1 Xiang, Baoqiang et al. "S2S Prediction in GFDL SPEAR: MJO Diversity and Teleconnections" vol. 102, no. 3, 2021, https://doi.org/10.1175/BAMS-D-21-0124.1 Export RIS Citation Information.

:

Xiang, Baoqiang ;

Harris, Lucas

2021 | Bulletin of the American Meteorological Society, 103(2), E463–E484

:

A subseasonal-to-seasonal (S2S) prediction system was recently developed using the GFDL SPEAR global coupled model. Based on 20-year hindcast results ...
Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity

CITE Title : Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity Personal Author(s) : Duncan, James P. C.;Wu, Elynn;Golaz, Jean‐Christophe;Caldwell, Peter M.;Watt‐Meyer, Oliver;Clark, Spencer K.;McGibbon, Jeremy;Dresdner, Gideon;Kashinath, Karthik;Bonev, Boris;Pritchard, Michael S.;Bretherton, Christopher S.; Published Date : 2024 Source : Journal of Geophysical Research: Machine Learning and Computation, 1(3) DOI : https://doi.org/10.1029/2024jh000136 Journal Title : Journal of Geophysical Research: Machine Learning and Computation Duncan, James P. C. et al. (2024). Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity. 1(3). https://doi.org/10.1029/2024jh000136 Duncan, James P. C. et al. "Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity" 1, no. 3 (2024), https://doi.org/10.1029/2024jh000136 Duncan, James P. C. et al. "Application of the AI2 Climate Emulator to E3SMv2's Global Atmosphere Model, With a Focus on Precipitation Fidelity" vol. 1, no. 3, 2024, https://doi.org/10.1029/2024jh000136 Export RIS Citation Information.

:

Duncan, James P. C.

;

Wu, Elynn

2024 | Journal of Geophysical Research: Machine Learning and Computation, 1(3)

:

Can the current successes of global machine learning‐based weather simulators be generalized beyond 2‐week forecasts to stable and accurate multiy...
Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change

CITE Title : Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change Personal Author(s) : Merlis, Timothy M.;Cheng, Kai-Yuan;Guendelman, Ilai;Harris, Lucas;Bretherton, Christopher S.;Bolot, Maximilien;Zhou, Linjiong;Kaltenbaugh, Alex;Clark, Spencer K.;Vecchi, Gabriel A.;Fueglistaler, Stephan; Published Date : 2024 Source : Science Advances, 10(26) DOI : https://doi.org/10.1126/sciadv.adn5217 Journal Title : Science Advances Merlis, Timothy M. et al. (2024). Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change. 10(26). https://doi.org/10.1126/sciadv.adn5217 Merlis, Timothy M. et al. "Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change" 10, no. 26 (2024), https://doi.org/10.1126/sciadv.adn5217 Merlis, Timothy M. et al. "Climate sensitivity and relative humidity changes in global storm-resolving model simulations of climate change" vol. 10, no. 26, 2024, https://doi.org/10.1126/sciadv.adn5217 Export RIS Citation Information.

:

Merlis, Timothy M.

;

Cheng, Kai-Yuan

2024 | Science Advances, 10(26)

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The climate simulation frontier of a global storm-resolving model (GSRM; ork-scale model because of its kilometer-scale horizontal resolution) is depl...