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Options for Improving Climate Modeling to Assist Water Utility ...

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<strong>Water</strong> <strong>Utility</strong> <strong>Climate</strong> Alliance White Paper<br />

<strong>Options</strong> <strong>for</strong> <strong>Improving</strong> <strong>Climate</strong> <strong>Modeling</strong> <strong>to</strong> <strong>Assist</strong> <strong>Water</strong> <strong>Utility</strong> Planning <strong>for</strong> <strong>Climate</strong> Change<br />

<br />

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There is the potential <strong>for</strong> partnering between individual RCM development groups and<br />

water utility planners.<br />

Improvements <strong>to</strong> RCMs are often transferable <strong>to</strong> GCMs, as spatial resolution in GCMs<br />

increase allowing them <strong>to</strong> simulate more regional details.<br />

Evaluation of RCMs with 10–20-km grid spacing is expected <strong>to</strong> show improvements <strong>to</strong><br />

s<strong>to</strong>rm-<strong>to</strong>tal snowfall, timing of seasonal snowmelt, and high-rate rainfall. Additional<br />

investment in microphysics and snow pack parameterizations may improve s<strong>to</strong>rm-<strong>to</strong>tal<br />

snowfall and episodic and seasonal snowmelt. Additional investment in 2–10 km grid<br />

spacing may show improvement in high-rate rainfall.<br />

Cons<br />

<br />

<br />

<br />

Investments solely in RCM design may redirect ef<strong>for</strong>ts away from ensemble approaches<br />

or statistical downscaling, so that while RCM simulation of variables critical <strong>to</strong> water<br />

utility planning may improve, the development of ensembles of local projections is not<br />

ensured.<br />

Current observational systems may be inadequate <strong>for</strong> detailed evaluation of new model<br />

components.<br />

RCM output will likely still not mimic actual station measurements and still will likely<br />

require statistical processing, such as bias correction, in order <strong>to</strong> use it as input <strong>to</strong><br />

hydrological and decision system models.<br />

Availability<br />

Evaluations of some RCM component tests could begin within the year, with experiments<br />

continuing <strong>for</strong> the next 10 years. Evaluations of some components, such as choice of grid<br />

spacing and utility of multi-moment or binned microphysics parameterization, may be completed<br />

by the next round of CMIP, which is scheduled <strong>for</strong> 2011.<br />

Estimate of costs<br />

<br />

An investment in research staff will be needed, similar <strong>to</strong> the level of funding from an<br />

external grants program, such as the recent DOE Request <strong>for</strong> Proposal (RFP) <strong>for</strong> highrisk,<br />

high-reward regional modeling that contained about $2 million per year:<br />

$5 million/year <strong>for</strong> 5–10 years (five-year <strong>to</strong>tal of $25 million; 10-year <strong>to</strong>tal of<br />

$50 million).<br />

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