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addressing climate change adaptation in regional transportation plans

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Address<strong>in</strong>g Climate Change Adaptation <strong>in</strong> Regional Transportation PlansA Guide for California MPOs and RTPAsWhat is the Significance of Changes <strong>in</strong>Extreme Climate?The type and frequency of extreme eventsare expected to <strong>change</strong> at the global scaleand can occur even with small <strong>change</strong>s <strong>in</strong><strong>climate</strong> means.Shifts <strong>in</strong> mean <strong>climate</strong> conditions canexacerbate extreme conditions result<strong>in</strong>g <strong>in</strong>higher, more frequent, and more prolongedheat waves, greater flood<strong>in</strong>g and erosionimpacts of coastal storm surges, and shifts <strong>in</strong>watershed runoff and tim<strong>in</strong>g. In plann<strong>in</strong>g foradapt<strong>in</strong>g <strong>transportation</strong> <strong>in</strong>frastructure to thechang<strong>in</strong>g <strong>climate</strong>, trends <strong>in</strong> extreme eventswill play a major role <strong>in</strong> understand<strong>in</strong>g therisk to <strong>transportation</strong> assets.Source: Mastrandrea et al., 2009. Precipitation projections show more variabilitybetween models and emission scenarios. Ingeneral, longer dry spells will become morecommon with occasional <strong>in</strong>tense ra<strong>in</strong>fall events. Occasional <strong>in</strong>tense ra<strong>in</strong>fall events will cont<strong>in</strong>ueto occur, with no significant <strong>change</strong> <strong>in</strong> the trend ofprojected frequency of heavy precipitation events. The frequency of large coastal storms andheavy precipitation events does not appear to<strong>change</strong> significantly over the 21 st century.However, storms will still impact the coast moreseverely due to higher sea levels that can result <strong>in</strong>higher storm surges, more extensive <strong>in</strong>landflood<strong>in</strong>g, and <strong>in</strong>creased erosion.3.3 CLIMATE CHANGE PROJECTIONS AND SCENARIOMODELINGWhat is the Difference between a ClimateProjection and a Prediction?Due to the <strong>in</strong>herent uncerta<strong>in</strong>ty <strong>in</strong> theevolution of global economic and technologicfactors future <strong>climate</strong> scenarios representprojections, rather than predictions, of future<strong>climate</strong> conditions. Projections consider arange of plausible pathways <strong>in</strong> globalresource use (emissions), differences <strong>in</strong>global <strong>climate</strong> models, and vary<strong>in</strong>g estimatesof <strong>climate</strong> sensitivity to emissionconcentrations. This range represents thedistribution of uncerta<strong>in</strong>ty <strong>in</strong> the many toolsused to project future <strong>climate</strong> conditions.The range and tim<strong>in</strong>g of <strong>climate</strong> <strong>change</strong>impacts under a variety of possible futureconditions provides a spectrum of <strong>climate</strong><strong>change</strong> risk which serves as the basis for<strong>adaptation</strong> plann<strong>in</strong>g.Predict<strong>in</strong>g human-<strong>in</strong>duced <strong>change</strong>s <strong>in</strong> <strong>climate</strong> overthe next 100 years requires: A prediction of global GHG emissions for thenext century. A global carbon cycle model to convert theseemissions <strong>in</strong>to <strong>change</strong>s <strong>in</strong> carbon dioxideconcentrations (and similar models for calculat<strong>in</strong>gconcentrations of other GHG and aerosols). A general circulation model (GCM), which usesthe GHG and aerosol concentration <strong>in</strong>formation toproject future <strong>climate</strong> variations. Downscal<strong>in</strong>g of the GCM results to a <strong>regional</strong>level through a procedure which takes account ofthe <strong>in</strong>fluence of topography on local <strong>climate</strong>. Thiscan be done either statistically or with a higherresolution <strong>regional</strong> <strong>climate</strong> model (RCM).3-6 Cambridge Systematics, Inc.

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