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Rain pulse

Each period’s value as height. High periods swell, low periods sink. 30-year normal map →

Years to

Speed 0.8/s

Height 50×

Colour

Data

The upload engine isn’t running. Stop this server and start python serve.py in the RainFallMap folder to enable uploads and new PRISM years.

Dataset

Where to get data

Any gridded series with one raster per year (or period) works. Some places to look:

PRISM: US precipitation and temperature, 1895–now (built in)
CHIRPS: global rainfall, 1981–now, ~5 km GeoTIFFs
TerraClimate: global climate and water balance, ~4 km
ERA5-Land: global reanalysis, 1950–now (export as GeoTIFF)
NOAA nClimGrid: US temperature and precipitation, 5 km
NASA GPM IMERG: global satellite rainfall

Upload your own

One raster per year (GeoTIFF, BIL, ASC or IMG; zips are fine) with the year in each file name, e.g. precip_2005.tif, all covering the same area. Or one multi-band GeoTIFF, one band per period. Any projection is reprojected for you. Max 2 GB per file.

Drop files here or choose files

Name Source credit Unit Palette Height scale “vs average” First period

Ignore the extreme 2% at each end when setting colours

Export

Each image is composed with a title, the year, the layer description, the legend, an area-mean chart and the data source. It uses your current camera angle, height, colour mode and year range, so set up the view first.

Title Data source

Include the area-mean chart

Formats

Yearly maps: one PNG per year, in a ZIP

PNG size

Animated GIF: the pulse, looping from the last year back to the first

GIF size Frames per year Hold each year

Zoom

Could not load pulse_data/.
Run python build_rain_years.py, then python serve.py and open localhost:8000/pulse.html.