P. Nowack

发表

Using machine learning to build temperature-based ozone parameterizations for climate sensitivity simulations

P. Nowack, P. Braesicke, J. Haigh, 2018, Environmental Research Letters.

Detecting causal associations in large nonlinear time series datasets

D. Sejdinovic, P. Nowack, S. Flaxman, 2018 .

Evaluating stratospheric ozone and water vapor changes in CMIP6 models from 1850–2100

M. Mills, G. Danabasoglu, P. Nowack, 2020 .

The Impact of Stratospheric Ozone Feedbacks on Climate Sensitivity Estimates

Peter Braesicke, John A. Pyle, Peer Nowack, 2018 .

Interactive comment on “ Ozone changes under solar geoengineering : implications for UV exposure and air quality ” by P . J . Nowack

P. Nowack, 2015 .

A machine learning approach to quantify meteorological drivers of ozone pollution in China from 2015 to 2019

P. Nowack, G. Forster, Xiang Weng, 2022, Atmospheric Chemistry and Physics.

Tropical Pacific climate variability under solar geoengineering: impacts on ENSO extremes

P. Nowack, J. Haigh, Long Cao, 2019, Atmospheric Chemistry and Physics.

MACHINE LEARNING PARAMETERIZATIONS FOR OZONE: CLIMATE MODEL TRANSFERABILITY

P. Nowack, P. Braesicke, J. Haigh, 2019 .

A 1D RCE Study of Factors Affecting the Tropical Tropopause Layer and Surface Climate

B. Stevens, P. Nowack, N. Abraham, 2019, Journal of Climate.

ClimateBench v1.0: A Benchmark for Data‐Driven Climate Projections

G. Camps-Valls, P. Nowack, P. Stier, 2022, Journal of Advances in Modeling Earth Systems.

Interactive comment on “ Sensitivity of the radiative forcing by stratospheric sulfur geoengineering to the amount and strategy of the SO 2 injection studied with the LMDZ-S 3 A model ” by Christoph Kleinschmitt et al

P. Nowack, 2017 .

Causal Discovery as a novel approach for CMIP6 climate model evaluation

Jakob Runge, Veronika Eyring, Kevin Debeire, 2020 .

A large ozone-circulation feedback and its implications for global warming assessments

Annette Osprey, Jonathan M. Gregory, Peter Braesicke, 2014, Nature climate change.

Cirrus and the Earth system

P. Nowack, 2015 .

Supplementary material to "A machine learning approach to quantify meteorological drivers of recent ozone pollution in China"

P. Nowack, G. Forster, Xiang Weng, 2022 .

Detecting and quantifying causal associations in large nonlinear time series datasets

Dino Sejdinovic, Seth Flaxman, Jakob Runge, 2017, Science Advances.

Evaluating stratospheric ozone and water vapour changes in CMIP6 models from 1850 to 2100

M. Mills, P. Nowack, L. Horowitz, 2021, Atmospheric Chemistry and Physics.

Predicting global patterns of long-term climate change from short-term simulations using machine learning

L. A. Mansfield, P. J. Nowack, M. Kasoar, 2020, npj Climate and Atmospheric Science.

Stratospheric ozone changes under solar geoengineering: implications for UV exposure and air quality

P. Nowack, P. Braesicke, N. Abraham, 2016 .

Ozone changes under solar geoengineering: implications for UV exposure and air quality

P. Nowack, P. Braesicke, N. Abraham, 2015 .

Burnt Areausing Random Forests

P. Nowack, A. Voulgarakis, I. Prentice, 2021 .

The importance of antecedent vegetation and drought conditions as global drivers of burnt area

P. Nowack, A. Voulgarakis, I. Prentice, 2021 .

Quantifying the Importance of Antecedent Fuel-Related Vegetation Properties for Burnt Area using Random Forests

P. Nowack, A. Voulgarakis, I. Prentice, 2020 .

Causal networks for climate model evaluation and constrained projections

Jakob Runge, Veronika Eyring, Joanna D. Haigh, 2020, Nature Communications.

Causal networks for climate model evaluation and constrained projections

P. Nowack, J. Haigh, J. Runge, 2020, Nature Communications.

Machine learning calibration of low-cost NO2 and PM10 sensors: non-linear algorithms and their impact on site transferability

J. Cant, P. Nowack, Lev Konstantinovskiy, 2021, Atmospheric Measurement Techniques.

Large Modeling Uncertainty in Projecting Decadal Surface Ozone Changes Over City Clusters of China

P. Nowack, G. Forster, Jiawei Li, 2023, Geophysical Research Letters.

Observational evidence that cloud feedback amplifies global warming

P. Nowack, P. Ceppi, 2021, Proceedings of the National Academy of Sciences.

A large ozone-circulation feedback and its implications for 1 global warming assessments 2 3

J. Gregory, P. Nowack, P. Braesicke, 2017 .

An unsupervised learning approach to identifying blocking events: the case of European summer

Apostolos Voulgarakis, Peer Nowack, Carl Thomas, 2021, Weather and Climate Dynamics.

High-mobility, trap-free charge transport in conjugated polymer diodes

David A. Hanifi, H. Sirringhaus, P. Nowack, 2019, Nature Communications.

ClimateBench: A benchmark dataset for data-driven climate projections

P. Nowack, P. Stier, Ø. Seland, 2021 .

Impacts of stratospheric sulfate geoengineering on tropospheric ozone

Simone Tilmes, Peer J. Nowack, Alan Robock, 2017 .

Towards low-cost and high-performance air pollution measurements using machine learning calibration techniques

J. Cant, P. Nowack, Lev Konstantinovskiy, 2020 .

Response of stratospheric water vapour to warming constrained by satellite observations

P. Nowack, S. Davis, M. Joshi, 2023, Nature Geoscience.

Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations

P. Nowack, P. Stier, H. Andersen, 2023, Atmospheric Chemistry and Physics.

On the role of ozone feedback in the ENSO amplitude response under global warming

Peter Braesicke, P. Nowack, P. Braesicke, 2017, Geophysical research letters.

A large ozone-circulation feedback and its implications for global warming assessments

J. Gregory, P. Nowack, P. Braesicke, 2014, Nature climate change.

Short-term forecasting of ozone air pollution across Europe with transformers

P. Nowack, P. T. Griffiths, SE Hickman, 2023, Environmental Data Science.

Response to the reviewers: Sensitivities of cloud radiative effects to large-scale meteorology and aerosols from global observations

P. Nowack, H. Andersen, Sarah Wilson Kemsley, 2023 .