Regional climate downscaling over Europe: perspectives from the EURO-CORDEX community

D Jacob, C Teichmann, S Sobolowski… - Regional environmental …, 2020 - Springer
Abstract The European CORDEX (EURO-CORDEX) initiative is a large voluntary effort that
seeks to advance regional climate and Earth system science in Europe. As part of the World …

Configuration and intercomparison of deep learning neural models for statistical downscaling

J Baño-Medina, R Manzanas… - Geoscientific Model …, 2020 - gmd.copernicus.org
Deep learning techniques (in particular convolutional neural networks, CNNs) have recently
emerged as a promising approach for statistical downscaling due to their ability to learn …

Revisiting the bias correction of climate models for impact studies

TLA Dinh, F Aires - Climatic Change, 2023 - Springer
Climate models are widely used in climate change impact studies. However, these
simulations often cannot be used directly due to inherent limitations, such as structural …

Statistical downscaling with the downscaleR package (v3. 1.0): contribution to the VALUE intercomparison experiment

J Bedia, J Baño-Medina, MN Legasa… - Geoscientific Model …, 2020 - gmd.copernicus.org
The increasing demand for high-resolution climate information has attracted growing
attention to statistical downscaling (SDS) methods, due in part to their relative advantages …

Evaluating skills and issues of quantile-based bias adjustment for climate change scenarios

F Lehner, I Nadeem… - Advances in Statistical …, 2023 - ascmo.copernicus.org
Daily meteorological data such as temperature or precipitation from climate models are
needed for many climate impact studies, eg, in hydrology or agriculture, but direct model …

Deep generative model super-resolves spatially correlated multiregional climate data

N Oyama, NN Ishizaki, S Koide, H Yoshida - Scientific Reports, 2023 - nature.com
Super-resolving the coarse outputs of global climate simulations, termed downscaling, is
crucial in making political and social decisions on systems requiring long-term climate …

Regional climate model biases, their dependence on synoptic circulation biases and the potential for bias adjustment: A process‐oriented evaluation of the Austrian …

D Maraun, H Truhetz, A Schaffer - Journal of Geophysical …, 2021 - Wiley Online Library
The Austrian regional climate projections are based on an ensemble of bias adjusted
regional climate model simulations. Bias adjustment (BA) improves the usability of climate …

[HTML][HTML] pyClim-SDM: Service for generation of statistically downscaled climate change projections supporting national adaptation strategies

A Hernanz, C Correa, JA García-Valero, M Domínguez… - Climate Services, 2023 - Elsevier
The climate change impact and adaptation communities need future scenarios with sufficient
high resolution, which are frequently achieved by applying Statistical Downscaling Models …

High resolution climate change projections for the Pyrenees region

MP Amblar-Francés, P Ramos-Calzado… - Advances in Science …, 2020 - asr.copernicus.org
The Pyrenees, located in the transition zone of Atlantic and Mediterranean climates,
constitute a paradigmatic example of mountains undergoing rapid changes in environmental …

[PDF][PDF] Stochastic downscaling of gridded precipitation to spatially coherent subgrid precipitation fields using a transformed Gaussian model

M Switanek, D Maraun, E Bevacqua - International Journal of …, 2022 - researchgate.net
Climate impact models often require unbiased point-scale observations, but climate models
typically provide biased simulations at the grid scale. While standard bias adjustment …