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WARREN CAVE X MOUNT EREBUS [2018-2020]

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PROJECT TYPE [DESIGN RESEARCH] PROJECT SITE [WARREN CAVE, MOUNT EREBUS SOUTH POLE] DATA ORIGINATORS [NASA JPL, UNAVCO, IPCC-2018] REMOTE SENSING [TERRESTRIAL LIGHT IMAGING DETECTION & RANGING SCIENCE] SCANNER TYPE [FARO FOCUS 3DX130] DIGITAL DATA [POINT-CLOUD RADIOMETRIC DATA 1.2 BILLION PTS + IPCC GLOBAL WARMING SCORE] SIMULATION FRAMEWORK [GASEOUS-FLUID DYNAMICS SIMULATION X REAL FLOW] MACHINE LEARNING [DEEP LEARNING POINT-NET CLASSIFICATION] GRAPHICS ALGORITHMS [VOLUMETRIC RAY-CASTING] PROJECT OUTPUTS A [DATA VISUALISATIONS X 250 [8K-PX] B [DIGITAL SIMULATIONS X 3 [8K-PX] C [INTERACTIVE MODEL X 3] 

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WARREN CAVE X MOUNT EREBUS [2018-2020] IS AN ARCHITECTURE-ORIENTED DESIGN INFORMATICS RESEARCH PROJECT. THE PROJECT CONSTRUCTS A SPATIOTEMPORAL READING OF THE IPCC-2018'S WORST-CASE GLOBAL-WARMING DATA THROUGH POINT CLOUDS INDEXING THE GLACIAL MORPHOLOGIES OF A RAPID-MELTING ICE CAVE SYSTEM AT THE SOUTH POLE. IT DEVELOPS THERMO-FLUID DYNAMICS SIMULATIONS TO MODEL MORPHOLOGIES OF ABLATING GLACIERS, WHILE ANTICIPATING A NEAR-FUTURE CRYOSPHERIC STRUCTURE, INDEXING AUTOGRAPHS OF HUMAN-INDUCED GLOBAL WARMING IN ITS TOPOGRAPHIC ORGANISATION.

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