Regional Climate Information—Evaluation and Projections

By F. Giorgi, J. Christensen, M. Hulme, Hans von Storch, P. Whetton, Richard G. Jones, L. Mearns, C. Fu, R. Arritt, B. Bates and 46 more. 2001

618 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/4f26dc67b8196b4ce035e7eb6cd3e1b5418b0c6b

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Does climate policy need probabilities (2003, background): “…etc.) have been traditionally used to explore regional uncertainties in future climate (Kittel et al., 1998; Giorgi and Francisco, 2000; Giorgi et al., 2001b), and a new summary measure, which calculates average, uncertainty range, and reliability of regional climate changes from GCM…”
An update of IPCC climate reference regions for subcontinental analysis of climate model data: definition and aggregated datasets (2020, methodology): “The Giorgi reference regions (originally 23 rectangular regions proposed in Giorgi and Francisco, 2000; denoted here as version 1) were used in the third (AR3; Giorgi et al., 2001) and fourth (AR4; Christensen et al., 2007) IPCC assessment reports.”
Nest site choice compensates for climate effects on sex ratios in a lizard with environmental sex determination (2006, background): “Various global climate change models have predicted increases in mean air temperatures of 1–6 C over the next 100 years (Folland et al., 2001), and regional models are now available that can predict changes in temperature at the sub-continental scale (Giorgi et al., 2001).”
Long memory of rivers from spatial aggregation (2007, unknown): “The envisioned forecasting tools feed projected precipitation changes [Giorgi et al., 2001] into hydrological models, for which realistic river network properties (parameters Aj, kj, and sj) have to be available.”
Comparison of transfer functions in statistical downscaling models for daily temperature and precipitation over Canada (2012, background): “The gamma distribution has been fitted to rainfall amounts in many studies (Stephenson et al. 1999; Giorgi et al. 2001; Yang et al. 2005).”
Bayesian Modeling of Uncertainty in Ensembles of Climate Models (2009, methodology): “These are the same regions as were identified for significant warmings in the previous studies by Giorgi et al. (2001) and Tebaldi et al. (2005), but the current study provides superior calculations of the posterior distribution and hence more precise summaries of uncertainty.”
An Improved Dynamical Downscaling Method with GCM Bias Corrections and Its Validation with 30 Years of Climate Simulations (2012, background): “1 2012 American Meteorological Society Unauthenticated | Downloaded 08/17/21 11:55 AM UTC RCMs (e.g., Giorgi and Hewitson 2001; Seth et al. 2007; Bukovsky and Karoly 2011).”
Statistical Downscaling of Daily Temperature in Central Europe (2002, background): “The performance of general circulation models (GCMs) at the local scale is often poor, which is particularly true for surface variables (Giorgi et al. 2001).”
Linking climate change modelling to impacts studies: recent advances in downscaling techniques for hydrological modelling (2007, methodology): “The term ‘transfer function’ (Giorgi and Hewitson, 2001) is used to describe methods that directly quantify a relationship between the predictand and a set of predictor variables.”
Climate Change and Biodiversity: Some Considerations in Forecasting Shifts in Species' Potential Distributions (2005, background): “For now, statistical downscaling of GCM results remains the best option for producing high-resolution scenarios (Giorgi et al. 2001).”
Quantifying Uncertainty in Projections of Regional Climate Change: A Bayesian Approach to the Analysis of Multimodel Ensembles (2005, methodology): “In Section 3 the model is applied to the same suite of AOGCM experiments as in Giorgi and Mearns (2002), and some findings from the posterior distributions are presented.”