Several methods are available for estimating the moisture content of 10-h r
esponse time fuels in the U.S. National Fire Danger Rating System (NFDRS).
These fuels are represented by an array of four 1.27 cm diameter ponderosa
pine (Pinus ponderosa Dougl. ex Laws.) dowels weighing about 100 g when ove
n dry. The prediction model currently used in the NFDRS is driven by inform
ation from afternoon weather readings. To improve responsiveness of the pre
dictions to weather change, a 10-h stick moisture content prediction model
is developed that uses observations (air temperature and relative humidity,
insolation, and rainfall amount) available from a remote automatic weather
station (RAWS). Equations describing the transfer of heat and moisture at
the surface and within a 10-h stick are derived and then solved numerically
. Collection of field experimental data on weather, stick weight, and stick
temperature to guide development of the model is briefly described, and pr
edicted and observed mean moisture contents are compared. Additional 10-h s
tick moisture content data, collected independently, are used to test model
predictions. Calculated values are sometimes outside the bounds of variabi
lity in moisture content determined from the data, suggesting the need for
further tests. The model simulates diurnal change in moisture content and t
emperature of 10-h sticks but can be adapted to cylindrical wood sticks of
any practical size.