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Explore the application of MISH method for gridding SPI series in Hungary, examining representativity, climate change detection, and spatial modeling of climate parameters. Quality control and spatial interpolation included.
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Application of MISH method for gridding of SPI series Tamás Szentimrey and Zita Bihari Hungarian Meteorological Service
Direct Mapping of SPI by MISH SPI6, August 2003 in Hungary (scale: -3.7 , 1.4)
Direct Mapping of SPI by MISH SPI1, April 2007 in Hungary (scale: -7 , -1.5)
Possible Connection of Topics and Systems LONG DATA SERIES Complementing, Quality Control, Homogenization (MASH) Examination of Representativity of a given Station Network (inside Network; statistical way) CLIMATE EXAMINATIONS E.g. Climate Change Detection SPATIAL MODELLING OF CLIMATE PARAMETERS (MISH) Deterministic Parameters Stochastic Parameters SPATIAL INTERPOLATION (MISH) For arbitrary Location Background Information maybe: satellite, radar, forecast data REPRESENTATIVITY EXAMINATION OF ARBITRARY STATION NETWORK Inside the Network For arbitrary Location E.g. automatic stations SHORT DATA SERIES Complementing Quality Control E.g. automatic stations FORECAST E.g. Data Assimilation Variational Analysis