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- Author or Editor: Marie R. Klugman x
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Abstract
Monthly Palmer Drought Index values for the periods 1931–40, 1941–50, 1951–60 and 1961–69 were subjected to eigenvector analysis. Patterns and periods of variable moisture conditions resulted which fit well the patterns found in drought studies of areas east and west of the upper Midwest. The 1930's and 1950's included years of severe drought but the patterns of drought were not identical. The 1930's drought spread from the west; the 1950's drought spread from the south and southwest. The 1940's and 1960's were wetter than normal in the upper Midwest.
Abstract
Monthly Palmer Drought Index values for the periods 1931–40, 1941–50, 1951–60 and 1961–69 were subjected to eigenvector analysis. Patterns and periods of variable moisture conditions resulted which fit well the patterns found in drought studies of areas east and west of the upper Midwest. The 1930's and 1950's included years of severe drought but the patterns of drought were not identical. The 1930's drought spread from the west; the 1950's drought spread from the south and southwest. The 1940's and 1960's were wetter than normal in the upper Midwest.
Abstract
A method for determining climatic change in precipitation data is applied to seasonal data for the United States. This method is an analysis of variance procedure with a Markov chain model used to estimate the within-groups variance. A comparison of the within-groups variance computed with an allowance for dependence to the estimate of the variance computed under the assumption of independence shows that the model with dependence is superior. The statistic which is calculated in the test for climatic change may be significantly inflated if dependence in the data is not modeled. A consequence of this is that climatic change may be inferred when, in fact, it has not occurred. The greatest possibility of this error is in the fall season, and at West Coast stations in all seasons, for the period studied.
Abstract
A method for determining climatic change in precipitation data is applied to seasonal data for the United States. This method is an analysis of variance procedure with a Markov chain model used to estimate the within-groups variance. A comparison of the within-groups variance computed with an allowance for dependence to the estimate of the variance computed under the assumption of independence shows that the model with dependence is superior. The statistic which is calculated in the test for climatic change may be significantly inflated if dependence in the data is not modeled. A consequence of this is that climatic change may be inferred when, in fact, it has not occurred. The greatest possibility of this error is in the fall season, and at West Coast stations in all seasons, for the period studied.
Abstract
A method is proposed for determining the occurrence of climatic change with respect to precipitation. The method is an analysis of variance procedure with a Markov chain model used to estimate the within-group variance. An illustration using data from Medford, Oregon, for the fall seasons from 1948 to 1976 is provided.
Abstract
A method is proposed for determining the occurrence of climatic change with respect to precipitation. The method is an analysis of variance procedure with a Markov chain model used to estimate the within-group variance. An illustration using data from Medford, Oregon, for the fall seasons from 1948 to 1976 is provided.
