Downscaling approaches of climate change projections for watershed modeling: Review of theoretical and practical considerations

AA Keller, KL Garner, N Rao, E Knip**, J Thomas - PLoS Water, 2022 - journals.plos.org
Water resources managers must increasingly consider climate change implications of,
whether the concern is floods, droughts, reservoir management, or reliably supplying …

Exacerbated fires in Mediterranean Europe due to anthropogenic warming projected with non-stationary climate-fire models

M Turco, JJ Rosa-Cánovas, J Bedia, S Jerez… - Nature …, 2018 - nature.com
The observed trend towards warmer and drier conditions in southern Europe is projected to
continue in the next decades, possibly leading to increased risk of large fires. However, an …

Climate change impacts on water resources: An overview

S Sukanya, S Joseph - Visualization techniques for climate change with …, 2023 - Elsevier
Recent years have witnessed an upsurge of worldwide interest in potential impacts of
climate change on water resources. Climate change is often entwined with alteration of …

Performance evaluation of bias correction methods for climate change monthly precipitation projections over Costa Rica

M Mendez, B Maathuis, D Hein-Griggs… - Water, 2020 - mdpi.com
Six bias correction (BC) methods; delta-method (DT), linear scaling (LS), power
transformation of precipitation (PTR), empirical quantile map** (EQM), gamma quantile …

Comparing bias correction methods used in downscaling precipitation and temperature from regional climate models: a case study from the Kaidu River Basin in …

M Luo, T Liu, F Meng, Y Duan, A Frankl, A Bao… - Water, 2018 - mdpi.com
The systemic biases of Regional Climate Models (RCMs) impede their application in
regional hydrological climate-change effects analysis and lead to errors. As a consequence …

An intercomparison of a large ensemble of statistical downscaling methods over Europe: Results from the VALUE perfect predictor cross‐validation experiment

JM Gutiérrez, D Maraun, M Widmann… - International journal …, 2019 - Wiley Online Library
VALUE is an open European collaboration to intercompare downscaling approaches for
climate change research, focusing on different validation aspects (marginal, temporal …

[HTML][HTML] An evaluation framework for downscaling and bias correction in climate change impact studies

E Vogel, F Johnson, L Marshall, U Bende-Michl… - Journal of …, 2023 - Elsevier
Climate change impact studies commonly use impact models (such as hydrological or crop
models) forced with corrected climate input data from global climate models. A range of …

Model output statistics downscaling using support vector machine for the projection of spatial and temporal changes in rainfall of Bangladesh

SH Pour, S Shahid, ES Chung, XJ Wang - Atmospheric research, 2018 - Elsevier
A model output statistics (MOS) downscaling approach based on support vector machine
(SVM) is proposed in this study for the projection of spatial and temporal changes in rainfall …

A MCDM-based framework for selection of general circulation models and projection of spatio-temporal rainfall changes: a case study of Nigeria

MS Shiru, S Shahid, ES Chung, N Alias, L Scherer - Atmospheric Research, 2019 - Elsevier
A multi-criteria decision-making approach was used for the selection of GCMs for Nigeria
based on their ability to replicate historical rainfall estimated using three entropy-based …

Some pitfalls in statistical downscaling of future climate

JR Lanzante, KW Dixon, MJ Nath… - Bulletin of the …, 2018 - journals.ametsoc.org
Statistical downscaling (SD) is commonly used to provide information for the assessment of
climate change impacts. Using as input the output from large-scale dynamical climate …