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a sub-<strong>seasonal</strong> lead time, the singlevalued<br />

outlook may be justified by the<br />

planned management strategy. In such<br />

a case, the lake level is a constraint that<br />

requires transferring uncertainty in<br />

lake inflows <strong>to</strong> a different variable in<br />

the reservoir system, such as lake outflow.<br />

Alternatively, the deterministic<br />

depiction may result from an effort <strong>to</strong><br />

simplify probabilistic information in<br />

the communication of the lake outlook<br />

<strong>to</strong> the public.<br />

2.2.2.2 State <strong>and</strong> regional<br />

Regionally-focused agencies such<br />

as the U.S. Bureau of Reclamation<br />

(USBR), the Bonneville Power Administration<br />

(BPA), the Tennessee Valley Authority<br />

(TVA), <strong>and</strong> the Great Lakes Environmental<br />

Research Labora<strong>to</strong>ry (GLERL) also produce<br />

forecasts targeting specific sec<strong>to</strong>rs within their<br />

priority areas. Figure 2.8 shows an example of<br />

an SI lead forecast of lake levels produced by<br />

GLERL. GLERL was among the first major<br />

public agencies <strong>to</strong> incorporate climate forecast<br />

information in<strong>to</strong> operational forecasts <strong>using</strong><br />

hydrologic <strong>and</strong> water management variables.<br />

Forecasters use coarse-scale climate forecast<br />

information <strong>to</strong> adjust clima<strong>to</strong>logical probability<br />

distribution functions (PDFs) of precipitation<br />

<strong>and</strong> temperature that are the basis for generating<br />

synthetic ensemble inputs <strong>to</strong> hydrologic <strong>and</strong><br />

water management models, the outputs of which<br />

include lake level as shown in the figure. In this<br />

case, the climate forecast information is from<br />

the CPC <strong>seasonal</strong> outlooks (method described<br />

in Croley, 1996).<br />

The Bonneville Power Administration (BPA),<br />

which helps manage <strong>and</strong> market power from<br />

the Columbia River reservoir system, is both<br />

a consumer <strong>and</strong> producer of hydrologic forecast<br />

products. The BPA generates their own<br />

ENSO-state conditioned ESP forecasts of reservoir<br />

system inflows as input <strong>to</strong> management<br />

decisions, a practice <strong>support</strong>ed by research<br />

in<strong>to</strong> the benefits of ENSO information for<br />

water management (Hamlet <strong>and</strong> Lettenmaier,<br />

1999).<br />

A number of state agencies responsible for<br />

releasing hydrologic <strong>and</strong> water resources<br />

forecasts also make use of climate forecasts in<br />

<strong>Decision</strong>-Support Experiments <strong>and</strong> Evaluations <strong>using</strong> Seasonal <strong>to</strong><br />

Interannual Forecasts <strong>and</strong> Observational Data: A Focus on Water Resources<br />

Figure 2.7 A deterministic five-week forecast of reservoir levels in Lake Lanier, Georgia,<br />

produced by USACE .<br />

the process of producing their own hydrologic<br />

forecasts. The South Florida Water Management<br />

District (SFWMD) predicts lake (e.g.,<br />

Lake Okeechobee) <strong>and</strong> canal stages, <strong>and</strong> makes<br />

drought assessments, <strong>using</strong> a decision tree in<br />

which the CPC <strong>seasonal</strong> outlooks play a role.<br />

SFWMD follows GLERL’s lead in <strong>using</strong> the<br />

Croley (1996) method for translating the CPC<br />

<strong>seasonal</strong> outlooks <strong>to</strong> variables of interest for<br />

their system.<br />

2.2.2.3 local<br />

At an even smaller scale, some local agencies<br />

<strong>and</strong> private utilities may also produce forecasts<br />

or at least derive applications-targeted forecasts<br />

from the more general climate or hydrology<br />

forecasts generated at larger agencies or centers.<br />

Figure 2.8 Probabilistic forecasts of future lake levels disseminated by GLERL.<br />

From: .<br />

39

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