Daily Updating of Operational Statistical Seasonal Water Supply Forecasts for the western U.S.1 |
| |
Authors: | Thomas C Pagano David C Garen Tom R Perkins Phillip A Pasteris |
| |
Affiliation: | 1. Respectively (Pagano), Commonwealth Scientific and Industrial Research Organization (CSIRO), Land and Water Group, Highett Labs, P.O. Box 56, Highett, Victoria 3141, Australia;2. (Garen, Perkins), United States Department of Agriculture, Natural Resources Conservation Service, National Water and Climate Center, 1201 NE Lloyd Boulevard, Suite 802, Portland, Oregon 97232;3. (Pasteris) Global Water Resources, CH2M HILL, 2020 Southwest 4th Avenue, Suite 700, Portland, Oregon 97201‐4958. |
| |
Abstract: | Abstract: Official seasonal water supply outlooks for the western United States are typically produced once per month from January through June. The Natural Resources Conservation Service has developed a new outlook product that allows the automated production and delivery of this type of forecast year‐round and with a daily update frequency. Daily snow water equivalent and water year‐to‐date precipitation data from multiple SNOTEL stations are combined using a statistical forecasting technique (“Z‐Score Regression”) to predict seasonal streamflow volume. The skill of these forecasts vs. lead‐time is comparable to the official published outlooks. The new product matches the intra‐monthly trends in the official forecasts until the target period is partly in the past, when the official forecasts begin to use information about observed streamflows to date. Geographically, the patterns of skill also match the official outlooks, with highest skill in Idaho and southern Colorado and lowest skill in the Colorado Front Range, eastern New Mexico, and eastern Montana. The direct and frequent delivery of objective guidance to users is a significant new development in the operational hydrologic seasonal forecasting community. |
| |
Keywords: | runoff snow hydrology streamflow surface water hydrology |
|
|