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Open AccessJournal ArticleDOI

A Regional Climate Change Assessment Program for North America

TLDR
The North American Regional Climate Change Assessment Program (NARCCAP) as mentioned in this paper explores separate and combined uncertainties in regional projections of future climate change resulting from the use of multiple atmosphere- ocean general circulation models (AOGCMs) to drive multiple regional climate models (RCMs).
Abstract
There are two main uncertainties in determining future climate: the trajectories of future emissions of greenhouse gases and aerosols, and the response of the global climate system to any given set of future emissions [Meehl et al., 2007]. These uncertainties normally are elucidated via application of global climate models, which provide information at relatively coarse spatial resolutions. Greater interest in, and concern about, the details of climate change at regional scales has provided the motivation for the application of regional climate models, which introduces additional uncertainty [Christensen et al., 2007a]. These uncertainties in fi ne- scale regional climate responses, in contrast to uncertainties of coarser spatial resolution global models in which regional models are nested, now have been documented in numerous contexts [Christensen et al., 2007a] and have been found to extend to uncertainties in climate impacts [Wood et al., 2004; Oleson et al., 2007]. While European research in future climate projections has moved forward systematically to examine combined uncertainties from global and regional models [Christensen et al., 2007b], North American climate programs have lagged behind. To fi ll this research gap, scientists developed the North American Regional Climate Change Assessment Program (-NARCCAP). The fundamental scientifi c motivation of thismore » international program is to explore separate and combined uncertainties in regional projections of future climate change resulting from the use of multiple atmosphere- ocean general circulation models (AOGCMs) to drive multiple regional climate models (RCMs). An equally important, and related, motivation for this program is to provide the climate impacts and adaptation community with high- resolution regional climate change scenarios that can be used for studies of the societal impacts of climate change and possible adaptation strategies.« less

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Methodologies for simulating impacts of climate change on crop production

TL;DR: In this paper, the authors reviewed 221 peer-reviewed papers that used crop simulation models to examine diverse aspects of how climate change might affect agricultural systems, focusing on wheat, maize, soybean and rice.
References
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Journal ArticleDOI

Hydrologic Implications of Dynamical and Statistical Approaches to Downscaling Climate Model Outputs

TL;DR: In this article, six approaches for downscaling climate model outputs for use in hydrologic simulation were evaluated, with particular emphasis on each method's ability to produce precipitation and other variables used to drive a macro-scale hydrology model applied at much higher spatial resolution than the climate model.
Journal ArticleDOI

Evaluating the performance and utility of regional climate models: the PRUDENCE project

TL;DR: The main objective of the PRUDENCE project was to provide high resolution climate change scenarios for Europe at the end of the twenty-first century by means of dynamical downscaling (regional climate modelling) of global climate simulations as mentioned in this paper.
Journal ArticleDOI

Uncertainties in projected impacts of climate change on European agriculture and terrestrial ecosystems based on scenarios from regional climate models

TL;DR: In this paper, the authors addressed the uncertainties and sources of variation in projected impacts of climate change on agriculture and terrestrial ecosystems by applying different impact models at site, regional and continental scales, and by separating the variation in simulated relative changes in ecosystem performance into the different sources of uncertainty and variation using analyses of variance.
Journal ArticleDOI

The Regional Climate Change Hyper-Matrix Framework

TL;DR: In this article, the authors proposed a coordinating framework to improve the characterization of uncertainties in regional climate change projections (RCCPs) for making informed decisions based on quantitative risk analysis.
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