In dry regions, a small deviation from normal rainfall may not trigger traditional drought definitions, but the impact can be severe. So it’s key to set localized drought thresholds not global averages.
- Use GIS + Remote Sensing + Climate Models to create dynamic drought-monitoring systems.
- Combine historical trends with real-time satellite data for early warning.
- measuring this phenomenon? I would like to understand them, as I am currently conducting research on this subject."
To assess hidden drought in arid climates, use localized drought indices, soil moisture models, and integrate GIS with remote sensing data for dynamic monitoring. Combining historical trends with real-time climate model outputs helps predict future drought scenarios and mitigate impacts effectively.
Some good data to look at is the GRACE Total Water Storage (TWS) Anomaly. It does not consider rainfall or streamflow anomaly, but rather the total surface and sub-surface water anomaly. The dataset is publicly available and has global coverage, a monthly temporal resolution, and a spatial resolution of 1 deg.
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