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 …
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 …
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 …
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 …
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 …
needed for many climate impact studies, eg, in hydrology or agriculture, but direct model …
Deep generative model super-resolves spatially correlated multiregional climate data
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 …
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 …
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, 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 …
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
Climate impact models often require unbiased point-scale observations, but climate models
typically provide biased simulations at the grid scale. While standard bias adjustment …
typically provide biased simulations at the grid scale. While standard bias adjustment …