Based on broadbean yield data from 1971 to 2006, the meteorological yield of b road bean was calculated by use of smooth average method and furthermore the cli matic harvest patterns were classified into highyielding year, meanyielding year, and lowyielding years. By using the field observation data from 2001 to 2006，the mean growth period, and the relationship between daily mean temperatur e, daily maximum temperature, daily minimum temperature and growth of broadbea n was analyzed, and the temperature indexes of growth period of broadbean were determined, which include the upper limit of optimum temperature, lower limit o f lowest temperatures, extreme value of the upper limit of optimum temperatures, extreme value of lower limit lowest temperatures, the harmful temperature, the death temperatures of the development period from sowing to maturation of broad bean. On this basis, combining with other meteorological factors during the br oadbean growth period, the decision tables of meteorological service of broad bean growth season were established, which lay foundation for building the nor malized digital business process for meteorological services.