Detection Of Multi-layer INterconnected Occurrences for Spatial Extreme Events
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Updated
Jun 5, 2026 - Jupyter Notebook
Detection Of Multi-layer INterconnected Occurrences for Spatial Extreme Events
Code used to identify and analyze drought clusters from gridded data.
Identified the most appropriate Time-Series method to forecast drought in African countries, acting as a critical early warning for drought managements
Droughts console game with Alpha-beta pruning as a modified version of the minimax algorithm
Web frontend for DMAP-AI — browser-based drought analysis (SPI and wavelet) using ERA5 and NASA POWER.
GDFC: A Global Drought and Flood Catalogue from 1950 to 2016
data structures, sorting algorithms, graph shortest path algoritms, droughts game with gui and ai
Drought monitoring & analysis via MCP. Provides SPI tables, drought severity events, wavelet scalogram, and periodicity/global wavelet spectrum for any location worldwide. Powered by NASA POWER & ERA5. Works with Claude, ChatGPT, and any MCP-compatible AI client.
This developed algorithm defines spatially coherent precipitation whiplash events on the subseasonal-to-seasonal timescale between 1915 and 2020. It is designed in such a way that is can be adapted for use at different timescales, and for different datasets.
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