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Of late, significant changes in climate with their grave consequences have posed great challenges on humankind. Thus, the detectionand assessment of climatic changes on a regional scale is gaining importance, since it helps to adopt adequate mitigation and adaptationmeasures. In this paper, we have presented a novel approach for detecting spatio-temporal pattern of regional climate change byexploiting the theory of mathematical morphology. At first, the various climatic zones in the region have been identified by usingmultifractal cross-correlation analysis (MF-DXA) of different climate variables of interest. Then, the directional granulometry withfour different structuring elements has been studied to detect the temporal changes in spatial distribution of the identified climatic zonesin the region and further insights have been drawn with respect to morphological uncertainty index and Hurst exponent. The approachhas been evaluated with the daily time series data of land surface temperature (LST) and precipitation rate, collected from MicrosoftResearch - Fetch Climate Explorer, to analyze the spatio-temporal climatic pattern-change in the Eastern and North-Eastern regions ofIndia throughout four quarters of the 20th century

SPATIO-TEMPORAL PATTERN ANALYSIS FOR REGIONAL CLIMATE CHANGE USING MATHEMATICAL MORPHOLOGY