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Comparison of machine learning statistical downscaling and regional climate models for temperature, precipitation, wind speed, humidity and radiation over Europe under present conditions

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Outgoing claims: the papers this work cites, builds on, or argues with.

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VALUE : A framework to validate downscaling approaches for climate change studies
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Evaluation of the convection‐resolving climate modeling approach on continental scales
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Statistical downscaling of daily precipitation from observed and modelled atmospheric fields
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Downscaling of humidity variables: a search for suitable predictors and predictands
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A comparison of statistical downscaling methods suited for wildfire applications
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The VALUE perfect predictor experiment: Evaluation of temporal variability
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An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment
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Comparison of statistical downscaling methods with respect to extreme events over Europe: Validation results from the perfect predictor experiment of the COST Action VALUE
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Process‐based evaluation of the VALUE perfect predictor experiment of statistical downscaling methods
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Validation of spatial variability in downscaling results from the VALUE perfect predictor experiment
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Ice supersaturation in the ECMWF integrated forecast system
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Studies with a flexible new radiation code. I: Choosing a configuration for a large-scale model
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A microphysically based precipitation scheme for the UK Meteorological Office Unified Model
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The ERA‐Interim reanalysis: configuration and performance of the data assimilation system
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State‐of‐the‐art with regional climate models
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Convective Parameterization for Mesoscale Models: The Kain-Fritsch Scheme
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Optimal Transport: Old and New
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CLIVAR/GCOS/WMO Workshop on Indices and Indicators for Climate Extremes Workshop Summary
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Design and performance of a new cloud microphysics scheme developed for the ECHAM general circulation model
inferredcites →https://doi.org/10.1007/s00382-015-2647-5openalex-snapshot
Intercomparison of statistical and dynamical downscaling models under the EURO- and MED-CORDEX initiative framework: present climate evaluations
inferredcites →https://doi.org/10.1007/s00382-016-3471-2openalex-snapshot
Projected changes in surface solar radiation in CMIP5 global climate models and in EURO-CORDEX regional climate models for Europe
inferredcites →https://doi.org/10.1007/s00382-017-3580-6openalex-snapshot
Multivariate quantile mapping bias correction: an N-dimensional probability density function transform for climate model simulations of multiple variables
inferredcites →https://doi.org/10.1007/s00382-020-05153-1openalex-snapshot
Large discrepancies in summer climate change over Europe as projected by global and regional climate models: causes and consequences
inferredcites →https://doi.org/10.1007/s00382-022-06343-9openalex-snapshot
Regional climate model emulator based on deep learning: concept and first evaluation of a novel hybrid downscaling approach
inferredcites →https://doi.org/10.1007/s00382-022-06540-6openalex-snapshot
Mechanisms behind large-scale inconsistencies between regional and global climate model-based projections over Europe
inferredcites →https://doi.org/10.1007/s00382-022-06552-2openalex-snapshot
A simple hybrid statistical–dynamical downscaling method for emulating regional climate models over Western Europe. Evaluation, application, and role of added value?
inferredcites →https://doi.org/10.1007/s00703-008-0330-7openalex-snapshot
Statistical downscaling of near-surface wind over complex terrain in southern France
inferredcites →https://doi.org/10.1007/s00704-011-0546-1openalex-snapshot
Evaluation of machine learning tools as a statistical downscaling tool: temperatures projections for multi-stations for Thames River Basin, Canada
inferredcites →https://doi.org/10.1007/s00704-014-1190-3openalex-snapshot
Comparative validation of statistical and dynamical downscaling models on a dense grid in central Europe: temperature
inferredcites →https://doi.org/10.1007/s00704-018-2613-3openalex-snapshot
Intercomparison of machine learning methods for statistical downscaling: the case of daily and extreme precipitation
inferredcites →https://doi.org/10.1007/s00704-020-03098-3openalex-snapshot
Performance of statistical and machine learning ensembles for daily temperature downscaling
inferredcites →https://doi.org/10.1007/s10113-020-01606-9openalex-snapshot
Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community
inferredcites →https://doi.org/10.1007/s10584-006-9210-7openalex-snapshot
A summary of the PRUDENCE model projections of changes in European climate by the end of this century
inferredcites →https://doi.org/10.1007/s10584-016-1683-4openalex-snapshot
Towards a fair comparison of statistical and dynamical downscaling in the framework of the EURO-CORDEX initiative
inferredcites →https://doi.org/10.1007/s10584-018-2167-5openalex-snapshot
Direct and component-wise bias correction of multi-variate climate indices: the percentile adjustment function diagnostic tool
inferredcites →https://doi.org/10.1007/s11356-021-16964-yopenalex-snapshot
Application of ensemble machine learning model in downscaling and projecting climate variables over different climate regions in Iran
inferredcites →https://doi.org/10.1016/j.atmosres.2018.05.022openalex-snapshot
Statistical downscaling of precipitation using machine learning techniques
inferredcites →https://doi.org/10.1016/j.jhydrol.2012.05.052openalex-snapshot
Bias correction of regional climate model simulations for hydrological climate-change impact studies: Review and evaluation of different methods
inferredcites →https://doi.org/10.1016/j.renene.2017.03.079openalex-snapshot
A CRO-species optimization scheme for robust global solar radiation statistical downscaling
inferredcites →https://doi.org/10.1029/2000jd900719openalex-snapshot
Summarizing multiple aspects of model performance in a single diagram
inferredcites →https://doi.org/10.1029/2002gl015311openalex-snapshot
A generalized approach to parameterizing convection combining ensemble and data assimilation techniques
inferredcites →https://doi.org/10.1029/2002jd003296openalex-snapshot
Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta model
inferredcites →https://doi.org/10.1029/2004eo520005openalex-snapshot
Ensembles‐based predictions of climate changes and their impacts
inferredcites →https://doi.org/10.1029/2005jd007026openalex-snapshot
Statistical and dynamical downscaling of precipitation: An evaluation and comparison of scenarios for the European Alps
inferredcites →https://doi.org/10.1029/2008gl035694openalex-snapshot
On the need for bias correction of regional climate change projections of temperature and precipitation
inferredcites →https://doi.org/10.1029/2008jd009944openalex-snapshot
Radiative forcing by long‐lived greenhouse gases: Calculations with the AER radiative transfer models
inferredcites →https://doi.org/10.1029/2009rg000314openalex-snapshot
Precipitation downscaling under climate change: Recent developments to bridge the gap between dynamical models and the end user
inferredcites →https://doi.org/10.1029/2017jd028200openalex-snapshot
An Ensemble Version of the E‐OBS Temperature and Precipitation Data Sets
inferredcites →https://doi.org/10.1029/2019jd032344openalex-snapshot
Evaluation of the Large EURO‐CORDEX Regional Climate Model Ensemble
inferredcites →https://doi.org/10.1029/2019jd032356openalex-snapshot
Assessment of the European Climate Projections as Simulated by the Large EURO‐CORDEX Regional and Global Climate Model Ensemble
inferredcites →https://doi.org/10.1029/2022ef003291openalex-snapshot
Using Machine Learning to Cut the Cost of Dynamical Downscaling
inferredcites →https://doi.org/10.1029/97jd00237openalex-snapshot
Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated‐k model for the longwave
inferredcites →https://doi.org/10.1038/nclimate3418openalex-snapshot
Towards process-informed bias correction of climate change simulations
inferredcites →https://doi.org/10.1111/gec3.12036openalex-snapshot
Statistical Downscaling in Climatology
inferredcites →https://doi.org/10.1111/j.1600-0870.2010.00478.xopenalex-snapshot
The Rossby Centre Regional Climate model RCA3: model description and performance
inferredcites →https://doi.org/10.1142/6908openalex-snapshot
Empirical-Statistical Downscaling
inferredcites →https://doi.org/10.1145/2939672.2939785openalex-snapshot
XGBoost
inferredcites →https://doi.org/10.1155/2017/7265178openalex-snapshot
Statistical Downscaling of Temperature with the Random Forest Model
inferredcites →https://doi.org/10.1175/1520-0442(1998)011<1587:acotcm>2.0.co;2openalex-snapshot
A Comparison of the CCM3 Model Climate Using Diagnosed and Predicted Condensate Parameterizations
inferredcites →https://doi.org/10.1175/1520-0442(1999)012<3505:otuoii>2.0.co;2openalex-snapshot
On the Use of “Inflation” in Statistical Downscaling
inferredcites →https://doi.org/10.1175/1520-0450(1990)029<0437:frpsfm>2.0.co;2openalex-snapshot
Fast Radiation Parameterization Schemes for Mesoscale and Short-Range Forecast Models
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A One-Dimensional Entraining/Detraining Plume Model and Its Application in Convective Parameterization
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A Comprehensive Mass Flux Scheme for Cumulus Parameterization in Large-Scale Models
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A Mass Flux Convection Scheme with Representation of Cloud Ensemble Characteristics and Stability-Dependent Closure
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A Comprehensive Radiation Scheme for Numerical Weather Prediction Models with Potential Applications in Climate Simulations
inferredcites →https://doi.org/10.1175/1520-0493(1993)121<3040:rocils>2.0.co;2openalex-snapshot
Representation of Clouds in Large-Scale Models
inferredcites →https://doi.org/10.1175/1520-0493(2004)132<0103:aratim>2.0.co;2openalex-snapshot
A Revised Approach to Ice Microphysical Processes for the Bulk Parameterization of Clouds and Precipitation
inferredcites →https://doi.org/10.1175/2008jas2635.1openalex-snapshot
A Dual Mass Flux Framework for Boundary Layer Convection. Part I: Transport
inferredcites →https://doi.org/10.1175/2008jhm1068.1openalex-snapshot
A Revised Hydrology for the ECMWF Model: Verification from Field Site to Terrestrial Water Storage and Impact in the Integrated Forecast System
inferredcites →https://doi.org/10.1175/bams-d-22-0111.1openalex-snapshot
The Worldwide C3S CORDEX Grand Ensemble: A Major Contribution to Assess Regional Climate Change in the IPCC AR6 Atlas
inferredcites →https://doi.org/10.1175/jamc-d-18-0179.1openalex-snapshot
Subsampling Impact on the Climate Change Signal over Poland Based on Simulations from Statistical and Dynamical Downscaling
inferredcites →https://doi.org/10.1175/jamc-d-20-0013.1openalex-snapshot
A Hybrid Downscaling Approach for Future Temperature and Precipitation Change
inferredcites →https://doi.org/10.1175/jcli-d-11-00408.1openalex-snapshot
Downscaling Extremes—An Intercomparison of Multiple Statistical Methods for Present Climate
inferredcites →https://doi.org/10.1175/jcli-d-14-00754.1openalex-snapshot
Bias Correction of GCM Precipitation by Quantile Mapping: How Well Do Methods Preserve Changes in Quantiles and Extremes?
inferredcites →https://doi.org/10.1177/030913339702100403openalex-snapshot
Downscaling general circulation model output: a review of methods and limitations
inferredcites →https://doi.org/10.2151/jmsj.2015-042openalex-snapshot
Reconsidering the Quality and Utility of Downscaling
inferredcites →https://doi.org/10.5065/d6dz069topenalex-snapshot
A Description of the Advanced Research WRF Version 2
inferredcites →https://doi.org/10.5194/gmd-12-1909-2019openalex-snapshot
The Met Office Unified Model Global Atmosphere 7.0/7.1 and JULES Global Land 7.0 configurations
inferredcites →https://doi.org/10.5194/gmd-13-1311-2020openalex-snapshot
HCLIM38: a flexible regional climate model applicable for different climate zones from coarse to convection-permitting scales
inferredcites →https://doi.org/10.5194/gmd-14-6355-2021openalex-snapshot
Fast and accurate learned multiresolution dynamical downscaling for precipitation
inferredcites →https://doi.org/10.5194/gmd-4-677-2011openalex-snapshot
The Joint UK Land Environment Simulator (JULES), model description – Part 1: Energy and water fluxes
inferredcites →https://doi.org/10.5194/gmd-4-701-2011openalex-snapshot
The Joint UK Land Environment Simulator (JULES), model description – Part 2: Carbon fluxes and vegetation dynamics
inferredcites →https://doi.org/10.5194/gmd-7-1297-2014openalex-snapshot
Regional climate modeling on European scales: a joint standard evaluation of the EURO-CORDEX RCM ensemble
inferredcites →https://doi.org/10.5281/zenodo.1435454openalex-snapshot
CDO User Guide
inferredcites →https://doi.org/10.5281/zenodo.1438319openalex-snapshot
Guidelines For Use Of Climate Scenarios Developed From Statistical Downscaling Methods.

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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Machine Learning-Based Downscaling of Urban Air Temperature Using Lidar Data
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Machine Learning‐Based Correction of Reanalysis Surface Radiation Fluxes Using Ground‐Measured Data in the Southern Brazilian Pampa Biome
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Issue Information
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Correlated spatiotemporal downscaling of Euro‐ CORDEX climatic data for infrastructure resilience assessment
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Machine learning framework for high-resolution air temperature downscaling using LiDAR-derived urban morphological features
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A harmonized global gridded transpiration product based on collocation analysis
inferred← citeshttps://doi.org/10.1038/s41597-025-05987-6openalex-snapshot
Global monthly CMIP6-downscaled high-resolution (1 km) near-surface air temperature dataset (1950–2100)
inferred← citeshttps://doi.org/10.1038/s41598-026-41555-7openalex-snapshot
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Crop Coefficients and Irrigation Demand in Response to Climate-Change-Induced Alterations in Phenology and Growing Season of Vegetable Crops
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Comment on egusphere-2024-1800
Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.