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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 />

What water utilities would like from climate science<br />

In general, it is important <strong>to</strong> note that there does not appear <strong>to</strong> be a single investment – i.e., the<br />

proverbial “magic bullet” – which will substantially reduce the range of projections at the scale<br />

at which utility planning is conducted. Such projection could be used by utilities <strong>to</strong> help make<br />

decisions on expensive or long-lived investments such as infrastructure. (This is sometimes<br />

referred <strong>to</strong> as making the science “actionable” <strong>for</strong> water utilities.)<br />

Based on our experience working with the water resources community on climate change<br />

adaptation and on our discussions with WUCA members, we identified four <strong>to</strong>pics that we<br />

believe capture the improvements that are desired in the science. The four improvements follow<br />

and the prospects <strong>for</strong> improvement in the science over the next decade are discussed.<br />

1. Model agreement on change in key parameters. A critical impediment <strong>to</strong> developing<br />

consistent projections of regional climate change is that GCM projections in many<br />

regions differ on how key parameters such as circulation patterns will change. A number<br />

of the options identified below concern how improvements can be made in simulating a<br />

number of these phenomena. Such improvements may take years <strong>to</strong> be realized. In the<br />

meantime, we can better understand the sources of uncertainty about regional climate<br />

change and improve techniques <strong>for</strong> analyzing and applying climate models.<br />

2. Narrowing of the range of model output. The concern by utilities is that across the<br />

numerous emissions scenarios and models, a wide range of projections is given. Only<br />

modest progress is expected because two main sources of uncertainty − emissions<br />

scenarios and model climate sensitivity – have seen only slow progress in narrowing<br />

uncertainty. Enhanced use of observational data <strong>to</strong> constrain GCMs may help make<br />

progress on this matter.<br />

3. <strong>Climate</strong> model resolution at a spatial and temporal scale that matches water utilities’<br />

current system models. Ideally, the resolution of GCM output would be at the same scale<br />

in utilities’ systems models. The range of GCM resolution used in climate projections<br />

will likely improve over the next few years from 100–400 km <strong>to</strong> 50–200 km but <strong>for</strong> the<br />

most part this resolution will be more coarse than that currently used in utility system<br />

models. Note that increased resolution alone does not guarantee increased accuracy.<br />

4. Improved projections within water utility planning horizons. While long-term<br />

projections of climate change can be useful <strong>to</strong> utilities, they are also interested in climate<br />

projections <strong>for</strong> the next few decades. However, in the first few decades of model<br />

projections, simulations of natural modes of climate variability typically have a larger<br />

effect on climate projections than GHG concentrations. Improved simulations of the<br />

drivers of climate variability, such as improved modeling of the Tropical Pacific and<br />

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