VERIFICATION OF MONTHLY MEAN FORECASTS FOR FIRE WEATHER ELEMENTS IN THE CONTIGUOUS UNITED-STATES

The authors first review a system for specifying monthly mean anomalie s of midday temperature (T), dewpoint (D), and wind speed (W) at a lar ge network of surface stations across the United States. Multiple regr ession equations containing approximately three terms were derived for each element and month from concurrent fields of 700-mb height anomal y (H) observed over North America and vicinity, plus the previous mont h's observed local anomaly of T, D, or W, during the 20-year period 19 64-1983. Results of testing this forecast system on prognostic values of H prepared twice a month at the National Weather Service from 1973 to 1990 and on observed values of H during the independent period from 1984 to 1990 are presented. The authors pooled the data for all month s and 122 stations to compute Heidke skill scores (HSS) for two, three , four, and five classes for each weather element. All scores showed s kill that dropped steadily as the number of classes increased. In all cases skill was highest for T and lowest for W, the same result as tha t obtained in the original derivation. In order to examine the distrib ution of skill, we computed the HSS separately for each class. The ski ll scores for the first and last classes were greater than those for t he middle class for all elements and months. It is encouraging that fo recasts above the 90th percentile, the most critical category for fire potential, consistently showed greater skill than forecasts for any o ther class. Geographical and seasonal variations of skill based on pro gnostic height was also examined. The results showed that skill is str ongly dependent on location, month, and weather element. Mean annual s cores were positive for each element in all parts of the country, whil e monthly scores were highest in January and lowest in October. Althou gh the forecasts based on prognostic heights were more skillful than c limatology for all weather elements, they improved over month-to-month persistence only for T and D. If the height forecasts had been perfec t, the skill scores for these elements would have been about two to th ree times as large as those for prognostic heights and four to five ti mes as large as the persistence scores. When the test period was divid ed into two subperiods, values of HSS were considerably higher in the later period, despite a drop in persistence scores from the early to t he later period. The authors attribute this improvement to increased a ccuracy of medium-range numerical model predictions during the 1980s.