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Birch pollen mainly causes springtime allergy-related diseases,birch pollinoses, widely known in high-latitude countries.By utilizing the observation in Sapporo from 2001 to 2011, wefound that the daily pollen amount almost follows the log-normaldistribution with its characteristic time-scale of several days. Thepollen amount itself was therefore taken as a major predictor forits day-to-day variations. Another predictor was chosen fromclimatic variables that were possibly related to the pollen amountsuch as temperature, rainfall, sunshine duration, wind, relativehumidity, rainfall, and daily temperature difference to explaindaily variations of the pollen amount. A resulting statistical equationwith two independent predictors of lagged pollen amount anddiurnal temperature range based on the multiple regression analysisprovided a reasonable hindcast prediction with the correlationcoeffcient with observation being 0.80. Moreover, the equationwas better fitted to the observations in abundant years than inpoor-yield years

Statistical Analysis on Daily Variations of Birch Pollen Amount with Climatic Variables in Sapporo