Separate from main map

Cloud coverage statistics

Regional total cloud cover from Open-Meteo Historical API (ERA5 reanalysis). Optical detection likelihood is approximated as 1 − cloud_fraction — a proxy for weather-driven FIRMS gaps, not a sensor simulation.

JSON API Admin downloads

Snapshot

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Last day · global cloud sample map

Mean total cloud cover over ~the last 24 hours on a coarse global grid (Open-Meteo forecast API, past_days=1). Blue = clearer, purple = cloudier. Not a continuous satellite cloud product.

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By region (period mean)

Cloudiest regions first. Bars = cloud fraction (left) and detection likelihood (right).

Region Cloud fraction Detection likelihood Months

Seasonal pattern (all regions mean)

MonthMean cloudMean detection likelihood

Monthly series by region

How to refresh data

conda activate ./.conda
python scripts/download_cloud.py
# last-day map grid only:
python scripts/download_cloud.py --only-last-day-map --force
# optional multi-year regional:
python scripts/download_cloud.py --start 2022-01-01 --end 2024-12-31 --force

Sample points live under data/raw/cloud/ and data/processed/cloud/. Main FIRMS map UI is unchanged.