noaaplotter

A python package to create fancy plots with NOAA weather data.

Install

Recommended conda install

I recommend to use a fresh conda environment conda create -n noaaplotter python pip

activate conda environment conda activate noaaplotter

pip install noaaplotter and dependencies pip install git+https://github.com/initze/noaaplotter.git

Requirements

• matplotlib
• numpy
• pandas
• python
• requests
• joblib
• tqdm
• geemap

Examples

Download data

Option 1 NOAA Daily Summaries: Download via script

Download daily summaries (temperature + precipitation) from Kotzebue (or other station) from 1970-01-01 until 2021-12-31

• NOAA API Token is required: https://www.ncdc.noaa.gov/cdo-web/token

download_data.py -o ./data/kotzebue.csv -sid USW00026616 -start 1970-01-01 -end 2021-12-31 -t <NOAA API Token>

Option 2 NOAA Daily Summaries: Download via browser

CSV files of "daily summaries" ("https://www.ncdc.noaa.gov/cdo-web/search")

• Values: metric
• File types: csv

Option 3 ERA5 Daily: Download via script

Download daily summaries (temperature + precipitation) from Potsdam (13.05°E, 52.4°N) from 1980-01-01 until 2021-12-31

• Google Earthengine account is required
• Caution: full dataset may take a few minutes

download_data_ERA5.py -o ./data/potsdam_ERA5.csv -start 1980-01-01 -end 2021-12-31 -lat 52.4 -lon 13.05

Daily Mean Temperature and Precipitation values vs. Climate

Entire year 1 January until 31 December (e.g. 1992)

plot_daily.py -infile data/kotzebue.csv -start 1992-01-01 -end 1992-12-31 -t_range -45 25 -p_range 50 -plot

Monthly aggregates

Absolute values

Temperature: plot_monthly.py -infile data/data2.csv -start 1980-01-01 -end 2021-08-31 -type Temperature -trail 12 -save_plot figures/kotzebue_monthly_temperature_anomaly.png -plot

Precipitation: plot_monthly.py -infile data/data2.csv -start 1980-01-01 -end 2021-08-31 -type Precipitation -trail 12 -save_plot figures/kotzebue_monthly_precipitation.png -anomaly -plot

Anomalies/Departures from Climate (1981-2010)

Temperature:

plot_monthly.py -infile data/data2.csv -start 1980-01-01 -end 2021-08-31 -type Temperature -trail 12 -save_plot figures/kotzebue_monthly_temperature_anomaly.png -anomaly -plot

Precipitation:

plot_monthly.py -infile data/data2.csv -start 1980-01-01 -end 2021-08-31 -type Precipitation -trail 12 -save_plot figures/kotzebue_monthly_precipitation_anomaly.png -anomaly -plot