ArchiTool Beta
Historic Rainfall Dashboard
Pick official weather stations anywhere in the world, then map and compare rainfall trends and extremes.
Data source
Historic precipitation
Pick official weather-station records from anywhere in the world (NOAA GHCN). For Israel, the full IMS record (back to 1847) is shown alongside.
Try "Berlin", "Sydney Opera House", or paste coordinates like "40.7128,-74.0060" (lat,lon).
Click a country on the map — bubble size shows how many stations it has.
About Historic Precipitation·Multi-decade rainfall trends across stations.
What Historic Precipitation does
Loads a workbook of historic precipitation (STATION / NAME / YEAR / AMOUNT), then filters and visualises across stations and time. Useful for risk studies and project siting.
- Input:
- Station workbook
- Filters:
- Station + year
- Output:
- Trend charts
How it works
Measured station records, not a model. Rainfall comes from NOAA Global Historical Climatology Network data, the same archive national met services publish into, and everything shown is an aggregation of those observations — nothing is interpolated or synthesised.
- NOAA GHCN station records, picked from a map or supplied as your own workbook.
- Station metadata (id, name, coordinates) carried through, so a figure can always be traced back to where it was measured.
- Aggregation across stations and years is plain arithmetic on the observations — no gap filling, no interpolation between stations.
- Your own workbook is accepted on the same STATION / NAME / YEAR / AMOUNT shape, so in-house records sit beside the public ones.
How to use it
- Upload a workbook. .xlsx, .csv, or .tsv with STATION, NAME, YEAR, AMOUNT columns.
- Filter by station. Pick the stations relevant to your project area.
- Adjust the year range. Narrow to a period of interest, or look across many decades.
- Read the timeline. Each line is one station's annual precipitation. Hover for exact values.
Best used for
- Establishing what a site rainfall has actually been, from real measurements.
- Comparing candidate sites or stations over the same period of record.
- Backing a water-strategy assumption in a report with a traceable source.
- Spotting trends and unusually wet or dry years across a long record.
Not a substitute for
- Flood-risk assessment or drainage design.
- Intensity-duration-frequency curves or design-storm derivation.
- Forecasting: this is a record of what happened, not a projection.
Known limits
- Station records have gaps, station moves and instrument changes; a long series is rarely a homogeneous one.
- Nothing is interpolated, which is deliberate — but it means a site with no nearby station has no good answer here.
- Daily and annual totals do not describe intensity: the same annual figure can be steady drizzle or three storms.
- Distance and elevation between station and site are the dominant error and are not corrected for.
- An uploaded workbook is trusted as given — the tool validates its shape, not its provenance.