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Downscaling approaches of climate change projections for watershed modeling: Review of theoretical and practical considerations
Water resources managers must increasingly consider climate change implications of,
whether the concern is floods, droughts, reservoir management, or reliably supplying …
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
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 …
continue in the next decades, possibly leading to increased risk of large fires. However, an …
Climate change impacts on water resources: An overview
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 …
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
Six bias correction (BC) methods; delta-method (DT), linear scaling (LS), power
transformation of precipitation (PTR), empirical quantile map** (EQM), gamma quantile …
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 …
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 …
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
VALUE is an open European collaboration to intercompare downscaling approaches for
climate change research, focusing on different validation aspects (marginal, temporal …
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
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 …
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
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 …
(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
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 …
based on their ability to replicate historical rainfall estimated using three entropy-based …
Some pitfalls in statistical downscaling of future climate
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 …
climate change impacts. Using as input the output from large-scale dynamical climate …