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Future Projections of Temperature Extremes and Urban Heat Island in Paris Using Deep Learning

https://doi.org/10.2139/ssrn.5080130
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Outgoing claims: the papers this work cites, builds on, or argues with.

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What added value of CNRM-AROME convection-permitting regional climate model compared to CNRM-ALADIN regional climate model for urban climate studies ? Evaluation over Paris area (France)
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Excess mortality related to the August 2003 heat wave in France
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High resolution climate projections to assess the future vulnerability of European urban areas to climatological extreme events
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Evolution of the Parisian urban climate under a global changing climate
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“Grand Paris”: regional landscape change to adapt city to climate warming
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Building SSPs for Climate Policy Analysis: A Scenario Elicitation Methodology to Map the Space of Possible Future Challenges to Mitigation and Adaptation
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The State-of-the-Art of Urban Climate Change Modeling and Observations
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The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data
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Validation and consistency assessment of land surface temperature from geostationary and polar orbit platforms: SEVIRI/MSG and AVHRR/Metop
inferredcites →https://doi.org/10.1016/j.uclim.2015.03.003openalex-snapshot
Future climate of Brussels and Paris for the 2050s under the A1B scenario
inferredcites →https://doi.org/10.1016/j.uclim.2015.10.007openalex-snapshot
Vulnerability to heat waves: Impact of urban expansion scenarios on urban heat island and heat stress in Paris (France)
inferredcites →https://doi.org/10.1016/j.uclim.2017.10.006openalex-snapshot
Review of urban surface parameterizations for numerical climate models
inferredcites →https://doi.org/10.1016/j.uclim.2023.101785openalex-snapshot
The synergistic effects of urbanization and an extreme heatwave event on urban thermal environment in Paris
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A Higher‐resolution Version of the Max Planck Institute Earth System Model (MPI‐ESM1.2‐HR)
inferredcites →https://doi.org/10.1029/2019ms001739openalex-snapshot
UKESM1: Description and Evaluation of the U.K. Earth System Model
inferredcites →https://doi.org/10.1029/2019ms001791openalex-snapshot
Evaluation of CNRM Earth System Model, CNRM‐ESM2‐1: Role of Earth System Processes in Present‐Day and Future Climate
inferredcites →https://doi.org/10.1029/2019ms002002openalex-snapshot
Physically Interpretable Neural Networks for the Geosciences: Applications to Earth System Variability
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Improving AI System Awareness of Geoscience Knowledge: Symbiotic Integration of Physical Approaches and Deep Learning
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Deep Learning for Daily Precipitation and Temperature Downscaling
inferredcites →https://doi.org/10.1029/2022jd038199openalex-snapshot
The Fifth Generation Regional Climate Modeling System, RegCM5: Description and Illustrative Examples at Parameterized Convection and Convection‐Permitting Resolutions
inferredcites →https://doi.org/10.1029/2023ms003641openalex-snapshot
Using Explainability to Inform Statistical Downscaling Based on Deep Learning Beyond Standard Validation Approaches
inferredcites →https://doi.org/10.1029/98wr02577openalex-snapshot
Statistical downscaling of general circulation model output: A comparison of methods
inferredcites →https://doi.org/10.1038/s41612-024-00600-wopenalex-snapshot
Convection-permitting climate models offer more certain extreme rainfall projections
inferredcites →https://doi.org/10.1038/s42256-022-00540-1openalex-snapshot
Physically constrained generative adversarial networks for improving precipitation fields from Earth system models
inferredcites →https://doi.org/10.1038/s43017-022-00371-zopenalex-snapshot
Prediction and projection of heatwaves
inferredcites →https://doi.org/10.1071/es13004openalex-snapshot
The ACCESS coupled model: description, control climate and evaluation
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The Satellite Application Facility for Land Surface Analysis
inferredcites →https://doi.org/10.1080/09639489.2016.1142958openalex-snapshot
Fatal Isolation: The Devastating Paris Heat Wave of 2003
inferredcites →https://doi.org/10.1109/escience.2012.6404471openalex-snapshot
The Earth System Grid Federation: An open infrastructure for access to distributed geospatial data
inferredcites →https://doi.org/10.1111/j.1539-6924.2005.00694.xopenalex-snapshot
The 2003 Heat Wave in France: Dangerous Climate Change Here and Now
inferredcites →https://doi.org/10.1146/annurev-environ-012320-083623openalex-snapshot
Urban Climates and Climate Change
inferredcites →https://doi.org/10.1162/neco_a_01199openalex-snapshot
A Review of Recurrent Neural Networks: LSTM Cells and Network Architectures
inferredcites →https://doi.org/10.1175/bams-d-18-0195.1openalex-snapshot
Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
inferredcites →https://doi.org/10.1175/jamc-d-23-0145.1openalex-snapshot
Study of the Future Evolution of the Urban Climate of Paris by Statistical–Dynamical Downscaling of the EURO-CORDEX Ensemble
inferredcites →https://doi.org/10.1175/jcli3366.1openalex-snapshot
Avoiding Inhomogeneity in Percentile-Based Indices of Temperature Extremes
inferredcites →https://doi.org/10.1175/wcas-d-20-0142.1openalex-snapshot
Future Projections of Heat Mortality Risk for Major European Cities
inferredcites →https://doi.org/10.1609/aaaiss.v2i1.27650openalex-snapshot
Multi-Variable Hard Physical Constraints for Climate Model Downscaling
inferredcites →https://doi.org/10.2139/ssrn.4846089openalex-snapshot
Towards Better Understanding the Urban Environment and its Interactions with Regional Climate Change -The Wcrp Cordex Flagship Pilot Study Urb-Rcc
inferredcites →https://doi.org/10.3354/cr01235openalex-snapshot
Evolution of heat wave occurrence over the Paris basin (France) in the 21st century
inferredcites →https://doi.org/10.3390/atmos10120730openalex-snapshot
Urban Areas and Urban–Rural Contrasts under Climate Change: What Does the EURO-CORDEX Ensemble Tell Us?—Investigating near Surface Humidity in Berlin and Its Surroundings
inferredcites →https://doi.org/10.3390/urbansci1010003openalex-snapshot
Urban Heat Island Intensification during Hot Spells—The Case of Paris during the Summer of 2003
inferredcites →https://doi.org/10.48550/arxiv.2209.07568openalex-snapshot
Physically Constrained Generative Adversarial Networks for Improving Precipitation Fields from Earth System Models
inferredcites →https://doi.org/10.5194/egusphere-egu22-7679openalex-snapshot
Convection-permitting climate models Offer More Certain Extreme Rainfall Projections
inferredcites →https://doi.org/10.5194/essd-14-5637-2022openalex-snapshot
A global dataset of daily maximum and minimum near-surface air temperature at 1 km resolution over land (2003–2020)
inferredcites →https://doi.org/10.5194/gmd-12-2727-2019openalex-snapshot
Description and basic evaluation of simulated mean state, internal variability, and climate sensitivity in MIROC6
inferredcites →https://doi.org/10.5194/gmd-13-2109-2020openalex-snapshot
Configuration and intercomparison of deep learning neural models for statistical downscaling
inferredcites →https://doi.org/10.5194/gmd-13-6165-2020openalex-snapshot
Overview of the Norwegian Earth System Model (NorESM2) and key climate response of CMIP6 DECK, historical, and scenario simulations
inferredcites →https://doi.org/10.5194/gmd-15-5949-2022openalex-snapshot
Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using the METEOSAT land surface temperature product
inferredcites →https://doi.org/10.5194/gmd-15-6747-2022openalex-snapshot
Downscaling multi-model climate projection ensembles with deep learning (DeepESD): contribution to CORDEX EUR-44
inferredcites →https://doi.org/10.5194/gmd-17-229-2024openalex-snapshot
High-resolution downscaling of CMIP6 Earth system and global climate models using deep learning for Iberia
inferredcites →https://doi.org/10.5194/gmd-9-3461-2016openalex-snapshot
The Scenario Model Intercomparison Project (ScenarioMIP) for CMIP6
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