a repository for analysis of climate data
ulmo -- for downloading ncdc climate data
- downloads ncdc station data (high/low temp, wind, precip, snow) into pandas dataframes
- compares histograms with GEV fits of different climate periods
- pretty plots of the data
- record highs/lows
- annual averages and summaries
- long-term variability/climate change
Example for Seattle:
- Print metadata:
find_sites.py -s wa -n seattle - Update config file (
sites.conf) with metadata - Download data:
getData.py ../sites.conf - Update and run
engines.py