🌍 Drought Basics
Definitions, drought types, drought development, impacts, and monitoring concepts.
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Drought science, climate data, and AI interpretation
The DMAP-AI Knowledge Center explains the science behind drought monitoring, drought indices, climate datasets, wavelet diagnostics, and AI-assisted interpretation. It is designed for researchers, students, engineers, agricultural professionals, and decision-makers who need clear and reproducible drought-analysis guidance.
Browse by topic
📈 Drought Indices
SPI, SPEI, PDSI, EDDI, drought categories, thresholds, severity, and interpretation.
Loading article count…📊 Drought Events and Severity
Drought severity, duration, magnitude, thresholds, and event summaries.
Loading article count…🌦 Climate Data
Precipitation, temperature, evapotranspiration, NASA POWER, ERA5, GridMET, and related datasets.
Loading article count…🔬 Analysis Methods
Wavelet analysis, event detection, probability distributions, trend analysis, and diagnostics.
Loading article count…🤖 AI Interpretation
Structured metadata, chart-specific prompts, explainable AI outputs, and drought reporting.
Loading article count…📚 Case Studies
Station-based and farm-scale drought analyses using DMAP-AI workflows and datasets.
Loading article count…Browse the Knowledge Center
Search and open articles from the central /knowledge/articles.json file.
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Learning paths
🌍 Beginner path
Start here if you are new to drought monitoring, drought terminology, and basic interpretation.
Start learning📈 Intermediate path
Learn how drought indices, climate datasets, and drought categories are used in monitoring.
View drought types🔬 Advanced path
Explore wavelet diagnostics, AI interpretation, structured metadata, and research applications.
View AI comparison studyBuilt for scientific users
The Knowledge Center connects educational explanations with reproducible DMAP-AI workflows.
AI-search friendly
Articles are structured with clear definitions, short answers, FAQs, references, and internal links.
Ready to expand
The homepage reads article metadata from JSON, so the section can grow into a full documentation library.