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Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.

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precipitation-climatology-tanzania

To repropoduce the code, download the precipitation data from https://crudata.uea.ac.uk/cru/data/hrg/ or any NetCDF precipitation data sources.

A climate anomaly in this case precipitation anomaly is the difference from the average in a climatology period of 30 years. A drought is a period of time when an area or region experiences below-normal precipitation. The lack of adequate precipitation, either rain or snow, can cause reduced soil moisture or groundwater, diminished stream flow, crop damage, and a general water shortage. Droughts are the second-most costly weather events after hurricanes.

Tanzania is a country that frequently suffers from drought, and unfortunately is currently experiencing drought in the year 2022. This code using open data tools brings light to the phenomena, by providing a timeseries of rainfall, mean monthly rainfall data and, the spatial distribution of rainfall anomalies.

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Precipitation climatology anomalies of Tanzania, shedding light on drought in the East African country. A jupyter notebook tutorial for geospatial analysis of netcdf data, and precipitation time series.

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