A tool by Firecrawl · uses 6 tools · Energy

Drought hydro shortfall check

Use when a power trader, utility planner or industrial buyer in a hydro-heavy region (US Pacific Northwest, Brazil, Norway) worries that a dry season will cut hydro output and raise prices. Measures the precipitation and soil moisture deficit in the basin, reads recent hydro generation, and checks retail or national price data, returning a shortfall brief.

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Tools it calls

Each tool's price and track record across every agent today. Empty means the call worked and found nothing.

ToolPriceMedianSuccessEmpty

NASA POWERMonthly historyPrice5 creditsMedian–Success–Empty–
NASA POWERClimate normalsPrice5 creditsMedian–Success–Empty–
NASA POWERSoil moisturePrice5 creditsMedian–Success–Empty–
US Energy Information AdministrationDataPrice5 creditsMedian968 msSuccess100%Empty0%
IEADataPrice5 creditsMedian322 msSuccess100%Empty0%
IEADatasetsPrice5 creditsMedian–Success–Empty–

Instructions

What your agent follows when it runs this tool. Paste them into any assistant connected to Firecrawl.

# Drought hydro shortfall check

For one basin (given as a polygon or a few points) and the grid it feeds. The deficit measured in step 1 sets how hard to look at generation.

## 1. How dry

1. Pull monthly precipitation for the basin over the last three years with @[NASA POWER · Monthly history](alexandria:power-larc-nasa-gov/weather-history/monthly_history) and compare with @[NASA POWER · Climate normals](alexandria:power-larc-nasa-gov/weather-history/climate_normals). Report the deficit as percent of normal for the wet season.
2. Read root-zone wetness for the same window with @[NASA POWER · Soil moisture](alexandria:power-larc-nasa-gov/weather-history/soil_moisture). Dry soils absorb snowmelt and rain before it reaches reservoirs.

## 2. What hydro is doing

3. US basins: pull hydro generation for the states served with @[EIA · Route data](alexandria:eia-gov/energy-data/data) (electric power operational data, fuel hydro, monthly) and compare with the same months last year.
4. Outside the US: pull monthly electricity statistics for the country with @[IEA · Dataset observations](alexandria:iea-org/energy/data) (dataset from @[IEA · Datasets](alexandria:iea-org/energy/datasets), product hydro).

## 3. Price consequence

5. US: pull retail price trend for the states on `electricity/retail-sales`. Elsewhere: pull household and industry prices from the IEA prices dataset.

## Write the shortfall brief

- **Deficit:** precipitation and soil moisture versus normal, by month.
- **Generation:** hydro output versus last year, in the source unit.
- **Price:** direction and size of retail or national price change.
- **Outlook:** what the next wet-season months must deliver to close the gap, stated qualitatively.
- **Sources:** cite every figure to the capability and record it came from. Say what could not be found rather than guessing.

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