Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations
暂无分享,去创建一个
P. Nowack | P. Braesicke | J. Haigh | N. Abraham | J. Pyle | A. Voulgarakis
[1] Arthur L. Samuel,et al. Some Studies in Machine Learning Using the Game of Checkers , 1967, IBM J. Res. Dev..
[2] B. Hunt. The Need for a Modified Photochemical Theory of the Ozonosphere , 1966 .
[3] P. Crutzen. The influence of nitrogen oxides on the atmospheric ozone content , 1970 .
[4] M. Molina,et al. Stratospheric sink for chlorofluoromethanes: chlorine atomc-atalysed destruction of ozone , 1974, Nature.
[5] J. Pyle. A calculation of the possible depletion of ozone by chlorofluorocarbons using a two-dimensional model , 1980 .
[6] J. D. Mahlman,et al. Stratospheric Sensitivity to Perturbations in Ozone and Carbon Dioxide: Radiative and Dynamical Response. , 1980 .
[7] J. Haigh,et al. Ozone perturbation experiments in a two‐dimensional circulation model , 1982 .
[8] Daniel Cariolle,et al. Southern hemisphere medium-scale waves and total ozone disturbances in a spectral general circulation model , 1986 .
[9] Donald J. Wuebbles,et al. Radiative Forcing of Climate Changes in the Vertical Distribution of Ozone , 1990 .
[10] D. Rind,et al. A simple lightning parameterization for calculating global lightning distributions , 1992 .
[11] D. Rind,et al. Modeling Global Lightning Distributions in a General Circulation Model , 1994 .
[12] R. Tibshirani. Regression Shrinkage and Selection via the Lasso , 1996 .
[13] Joanna D. Haigh. The Impact of Solar Variability on Climate , 1996, Science.
[14] Arthur E. Hoerl,et al. Ridge Regression: Biased Estimation for Nonorthogonal Problems , 2000, Technometrics.
[15] B. Hannegan,et al. Stratospheric ozone in 3-D models : A simple chemistry and the cross-tropopause flux , 2000 .
[16] Oliver Wild,et al. Fast-J: Accurate Simulation of In- and Below-Cloud Photolysis in Tropospheric Chemical Models , 2000 .
[17] M. Prather,et al. Fast-J2: Accurate Simulation of Stratospheric Photolysis in Global Chemical Models , 2002 .
[18] David W. J. Thompson,et al. Interpretation of Recent Southern Hemisphere Climate Change , 2002, Science.
[19] P. Braesicke,et al. Changing ozone and changing circulation in northern mid‐latitudes: Possible feedbacks? , 2003 .
[20] J. C. McConnell,et al. Doubled CO2‐induced cooling in the middle atmosphere: Photochemical analysis of the ozone radiative feedback , 2004 .
[21] B. Soden,et al. Robust Responses of the Hydrological Cycle to Global Warming , 2006 .
[22] Nasser M. Nasrabadi,et al. Pattern Recognition and Machine Learning , 2006, Technometrics.
[23] I. Kirchner,et al. Effect of zonally asymmetric ozone on stratospheric temperature and planetary wave propagation , 2007 .
[24] J. Penner,et al. Global atmospheric chemistry: Integrating over fractional cloud cover , 2007 .
[25] Daniel Cariolle,et al. A revised linear ozone photochemistry parameterization for use in transport and general circulation models: multi-annual simulations , 2007 .
[26] T. Shepherd,et al. The Impact of Stratospheric Ozone Recovery on the Southern Hemisphere Westerly Jet , 2008, Science.
[27] N. Gillett,et al. Sensitivity of Southern Hemisphere climate to zonal asymmetry in ozone , 2008 .
[28] Warm and sensitive Paleocene-Eocene climate , 2009 .
[29] N. Gillett,et al. Sensitivity of climate to dynamically‐consistent zonal asymmetries in ozone , 2009 .
[30] J. A. Pyle,et al. Geoscientific Model Development Evaluation of the new UKCA climate-composition model – Part 1 : The stratosphere , 2009 .
[31] Veronika Eyring,et al. Impact of stratospheric ozone on Southern Hemisphere circulation change: A multimodel assessment , 2010 .
[32] Chris Harris,et al. Design and implementation of the infrastructure of HadGEM3: the next-generation Met Office climate modelling system , 2010 .
[33] Gaël Varoquaux,et al. Scikit-learn: Machine Learning in Python , 2011, J. Mach. Learn. Res..
[34] The effect of zonally asymmetric ozone heating on the Northern Hemisphere winter polar stratosphere , 2011 .
[35] Veronika Eyring,et al. Ozone database in support of CMIP5 simulations: results and corresponding radiative forcing , 2011 .
[36] T. Shepherd,et al. A Robust Mechanism for Strengthening of the Brewer–Dobson Circulation in Response to Climate Change: Critical-Layer Control of Subtropical Wave Breaking , 2011 .
[37] J. Lamarque,et al. Pre-industrial to end 21st century projections of tropospheric ozone from the Atmospheric Chemistry and Climate Model Intercomparison Project (ACCMIP) , 2012 .
[38] P. Braesicke,et al. Implementation of the Fast-JX Photolysis scheme (v6.4) into the UKCA component of the MetUM chemistry-climate model (v7.3) , 2012 .
[39] T. Nathan,et al. Pathways for Communicating the Effects of Stratospheric Ozone to the Polar Vortex: Role of Zonally Asymmetric Ozone , 2012 .
[40] Chao Li,et al. Deep-ocean heat uptake and equilibrium climate response , 2013, Climate Dynamics.
[41] Karl E. Taylor,et al. An overview of CMIP5 and the experiment design , 2012 .
[42] Veronika Eyring,et al. Analysis of Present Day and Future OH and Methane Lifetime in the ACCMIP Simulations , 2012 .
[43] K. Taylor,et al. Forcing, feedbacks and climate sensitivity in CMIP5 coupled atmosphere‐ocean climate models , 2012 .
[44] E. Guilyardi,et al. A first look at ENSO in CMIP5 , 2012 .
[45] Trevor Hastie,et al. An Introduction to Statistical Learning , 2013, Springer Texts in Statistics.
[46] P. Jöckel,et al. Chemical contribution to future tropical ozone change in the lower stratosphere , 2013 .
[47] Mark Lawrence,et al. An overview of the Geoengineering Model Intercomparison Project (GeoMIP) , 2013 .
[48] E. Guilyardi,et al. ENSO representation in climate models: from CMIP3 to CMIP5 , 2013, Climate Dynamics.
[49] P. J. Young,et al. Long‐term ozone changes and associated climate impacts in CMIP5 simulations , 2013 .
[50] Nitesh V. Chawla,et al. Computational Intelligent Data Analysis for Sustainable Development , 2013 .
[51] Bryan Lawrence,et al. Storing and manipulating environmental big data with JASMIN , 2013, 2013 IEEE International Conference on Big Data.
[52] R. Sausen,et al. Interactive ozone induces a negative feedback in CO2‐driven climate change simulations , 2014 .
[53] G. Schmidt,et al. The QBO in two GISS global climate models: 1. Generation of the QBO , 2014 .
[54] S. Madronich,et al. Solar Ultraviolet Radiation in a Changing Climate , 2014 .
[55] N Marwan,et al. Prediction of extreme floods in the eastern Central Andes based on a complex networks approach , 2014, Nature Communications.
[56] S. Brönnimann,et al. The coupled atmosphere–chemistry–ocean model SOCOL-MPIOM , 2014 .
[57] Jürgen Kurths,et al. Identifying causal gateways and mediators in complex spatio-temporal systems , 2015, Nature Communications.
[58] Annette Osprey,et al. A large ozone-circulation feedback and its implications for global warming assessments , 2014, Nature climate change.
[59] Veronika Eyring,et al. Overview of the Coupled Model Intercomparison Project Phase 6 (CMIP6) experimental design and organization , 2015 .
[60] S. Marsland,et al. An atmospheric mechanism for ENSO amplitude changes under an abrupt quadrupling of CO2 concentration in CMIP5 models , 2016 .
[61] Ball. F eb 2 01 6 Ozone observations reveal lower solar cycle spectral vari - , 2016 .
[62] T. Stocker,et al. Response of the AMOC to reduced solar radiation – the modulating role of atmospheric chemistry , 2016 .
[63] L. Polvani,et al. Reduction of Climate Sensitivity to Solar Forcing due to Stratospheric Ozone Feedback , 2016 .
[64] P. Nowack,et al. Stratospheric ozone changes under solar geoengineering: implications for UV exposure and air quality , 2016 .
[65] Anja Schmidt,et al. Emergence of healing in the Antarctic ozone layer , 2016, Science.
[66] F. Marone,et al. Rapid Mapping of Lithiation Dynamics in Transition Metal Oxide Particles with Operando X-ray Absorption Spectroscopy , 2016, Scientific Reports.
[67] G. Hegerl,et al. Beyond equilibrium climate sensitivity , 2017 .
[68] N. Harnik,et al. Radiative effects of ozone waves on the Northern Hemisphere polar vortex and its modulation by the QBO , 2017 .
[69] L. Polvani,et al. Reduced Southern Hemispheric circulation response to quadrupled CO2 due to stratospheric ozone feedback , 2017 .
[70] Andrew Stuart,et al. Earth System Modeling 2.0: A Blueprint for Models That Learn From Observations and Targeted High‐Resolution Simulations , 2017, 1709.00037.
[71] Jakob Runge,et al. Early prediction of extreme stratospheric polar vortex states based on causal precursors , 2017 .
[72] Peter Braesicke,et al. On the role of ozone feedback in the ENSO amplitude response under global warming , 2017, Geophysical research letters.
[73] A. Kitoh,et al. Impact of interactive chemistry of stratospheric ozone on Southern Hemisphere paleoclimate simulation , 2017 .
[74] J. Gregory,et al. Relationship of tropospheric stability to climate sensitivity and Earth’s observed radiation budget , 2017, Proceedings of the National Academy of Sciences.
[75] Donald D. Lucas,et al. Machine Learning Predictions of a Multiresolution Climate Model Ensemble , 2018 .
[76] Pierre Gentine,et al. Could Machine Learning Break the Convection Parameterization Deadlock? , 2018, Geophysical Research Letters.
[77] N. Abraham,et al. Quasi-Newton methods for atmospheric chemistry simulations: implementation in UKCA UM vn10.8 , 2018, Geoscientific Model Development.
[78] Jessica L. Neu,et al. Tropospheric Ozone Assessment Report:Assessment of global-scale model performance for global and regional ozone distributions, variability, and trends , 2018 .
[79] Peter Braesicke,et al. The Impact of Stratospheric Ozone Feedbacks on Climate Sensitivity Estimates , 2018 .
[80] L. Polvani,et al. The response of the ozone layer to quadrupled CO2 concentrations. , 2018, Journal of climate.
[81] Thomas Vandal,et al. Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation , 2017, Theoretical and Applied Climatology.
[82] The response of the ozone layer to quadrupled CO2 concentrations. , 2019, Journal of climate.
[83] 1.2 The impact of solar variability on climate , 2020, Earth's climate response to a changing Sun.