🌍 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.
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📈 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.
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Search and open other DMAP-AI Knowledge Center articles about drought science, drought indices, climate datasets, analysis methods, and AI interpretation.
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.
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The Knowledge Center connects educational explanations with reproducible DMAP-AI workflows.
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