Turn rainfall, heat, and soil signals into insight. Compare locations, set thresholds, and plan responses. See colored heatmaps, then download your report securely now.
| Scenario | Precip (%) | Temp (°C) | Soil pct | SPEI | NDVI | Demand |
|---|---|---|---|---|---|---|
| Normal season | 0 | 0.2 | 55 | 0.1 | 0.00 | 1.00 |
| Moderate drought | -25 | 1.8 | 35 | -1.1 | -0.07 | 1.10 |
| Severe drought | -55 | 3.1 | 18 | -2.0 | -0.18 | 1.30 |
| Heat stress, low rainfall deficit | -10 | 3.6 | 40 | -0.6 | -0.04 | 1.20 |
This calculator transforms climate indicators into comparable standardized scores, then aggregates them into a single index.
Organizations can standardize drought exposure by converting weather and land signals into one index. This calculator uses precipitation anomaly, temperature anomaly, soil moisture percentile, SPEI, NDVI anomaly, and a demand index. Scores are normalized to a common scale, then weighted. A 0–100 result supports portfolio triage, site comparisons, and escalation thresholds. It also helps quantify residual risk after mitigation measures planned.
Practical scenarios often show precipitation anomalies between −10% and −60% during dry spells, while temperature anomalies can rise 1–4°C in heat‑driven droughts. Soil moisture percentiles below 20 typically indicate notable stress. SPEI values near −1 suggest moderate dryness, and near −2 suggest severe dryness. NDVI anomalies from −0.05 to −0.20 reflect vegetation decline in sensitive regions.
Risk bands can align to action playbooks. Guarded (20–39) may trigger enhanced monitoring, supplier outreach, and water use audits. Elevated (40–59) can justify demand management and alternative sourcing. High (60–79) supports capex planning, water rights review, and business continuity testing. Extreme (80–100) can justify operational curtailment planning and community engagement.
Weight presets shift the contribution of indicators. Agriculture increases soil moisture influence and keeps rainfall dominant, reflecting yield impacts. Utilities increases the demand component to reflect supply constraints and peak load. Ecosystems increases NDVI to highlight habitat stress. Use the presets to run side‑by‑side scenarios and document why one weighting best represents your material impacts.
The monthly heatmap is a projection heuristic that applies seasonal multipliers by hemisphere. In the north, summer months typically elevate drought stress due to higher evaporative demand; in the south, the pattern shifts by six months. Replace multipliers with local climatology if available, and treat the heatmap as directional, not a forecast.
Exports package inputs, weights, standardized scores, and monthly values for review. Keep a record of data sources, timestamps, and any calibration changes. Validate results with local drought monitors, reservoir storage, groundwater levels, and operational dependency mapping. Strong governance links the calculated index to documented decisions and post‑event lessons learned.
It is a 0–100 screening score combining rainfall, heat, soil, drought indices, vegetation stress, and demand pressure. Higher values indicate higher drought stress under the entered scenario, not a guaranteed outcome.
It supports internal ESG monitoring and scenario documentation. For regulated disclosures, reference authoritative datasets, disclose assumptions, and validate results with local drought monitoring and asset‑level dependency analysis.
Pick the preset closest to your exposure: agriculture for yield sensitivity, utilities for supply and demand constraints, ecosystems for habitat and land stress. Keep a record of why the preset matches material impacts.
SPEI is available from climate datasets and research portals, while NDVI anomalies can be derived from satellite vegetation products. Use consistent baselines and time windows so comparisons remain meaningful.
The calculator applies a simple seasonal multiplier by hemisphere. Northern summers often elevate stress due to evapotranspiration; southern patterns shift. Replace this heuristic with local seasonality if you have better data.
Confirm conditions with local drought monitors, water storage data, and operational water dependency mapping. Then identify mitigations such as demand reduction, alternative supplies, supplier diversification, and contingency planning.
Important Note: All the Calculators listed in this site are for educational purpose only and we do not guarentee the accuracy of results. Please do consult with other sources as well.