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This paper proposes a method of correcting variance of point monthly rainfall directly estimated as sample value with low frequent observations from space. First, expectation of sample variance of monthly rainfall is formulated as a function of frequency and length of observation. In the formulation, key parameter is correlation time length. Second, the formulation is validated using high frequent observations by a ground-based weather radar. Third, a method identifying the parameter when only low frequent observations are available. As a result from application to TRMM/PR observations, it is shown that the formulation and the method of identification work well and importance of incorporating spatial correlation in further correcting sample variance of areal mean monthly rainfall.

METHOD OF CORRECTIING VARIANCE OF POINT MONTHLY RAINFALL DIRECTLY ESTIMATED USING LOW FREQUENT OBSERVATIONS FROM SPACE