Code

Tools

Here I have listed some Python tools I have developed. I have limited capacity to update these so use at your own risk. You can also buy me a coffee if you found them useful :-)

Get weather station data (Global)

Can run from your laptop etc
GitHub repo
Notebooks for working with monthly and daily averaged data

from get_station_data import ghcnd
from get_station_data.util import nearest_stn

### Read station metadata
stn_md = ghcnd.get_stn_metadata()

### Choose a location & number of nearest neighbours
lon_lat = -0.1278, 51.5074 # i.e., London
my_stns = nearest_stn(stn_md, lon_lat[0], lon_lat[1],
                        n_neighbours=5 )

### Download and extract data into a pandas DataFrame
df = ghcnd.get_data(my_stns)

Get climate model output (CMIP5/6)

Needs to run on systems where data is stored (e.g. JASMIN)
GitHub repo

import baspy as bp

### Retrieve a filtered catalogue as a Pandas DataFrame
df = bp.catalogue(dataset='cmip5', Model='HadGEM2-CC', 
                    RunID='r1i1p1', Experiment='historical', 
                    Var=['tas', 'pr'], Frequency='mon')

### Iterate over rows in catalogue
for index, row in df.iterrows():
    ds = bp.open_dataset(row) ### In Xarray
    cubes = bp.get_cube(row)  ### Or... In Iris

Notebooks

Here are some Python notebooks I use for research and teaching. Please feel free to get in touch if you have any comments, or buy me a coffee

Getting started

Using BASpy with Xarray to read in climate model data (CMIP5)
Getting weather station data from around the globe (both monthly and daily averaged data)

Research

Automatic detection of low pressure systems from pressure or geopotential height fields. Used here in this example to detect the Amundsen Sea Low
Analysing simulated Antarctic preciptation from the RACMO regional climate model
Working with model output from the the WRF regional climate model

Useful scripts

Smoothing a timeseries using a low-pass filter

_{I have other notebooks here which I may or may not migrate over time to this site}

Scott Hosking