verif 1.0.0b3

Features

• Deterministic metrics such as MAE, bias, correlation, RMSE (e.g. -m mae)

• Threshold-based metrics such as the false alarm rate, ETS, EDI, Yule’s Q (e.g. -m ets)

• Probabilistic metrics such as brier score, PIT-histogram, reliability diagrams (e.g. -m bs)

• Special plots like Taylor diagrams (-m taylor), quantile-quantile plots (-m qq).

• Plot scores as a function of date, lead time, station altitude/lat/longitude (e.g. -x date)

• Show scores on maps (-type map)

• Subset the data by specifying a date range and lat/lon range (-latrange 58,60)

• Export to text (-type text)

• Options to adjust font sizes, label positions, tick marks, legends, etc (-labfs 14)

• Anomaly statistics relative to a baseline like climatology (-c climfile.txt)

• Output to png, jpeg, eps, etc and specify dimensions and resolution (-f image.png -dpi 300)

For a full list, run Verif without arguments.

Installing on Ubuntu

Prerequisites

Verif requires NetCDF as well as the python packages numpy, scipy, and matplotlib. The python package mpltoolkits.basemap is optional, but provides a background map when verification scores are plotted on a map. Install the packages as follows:

sudo apt-get install netcdf-bin libnetcdf-dev libhdf5-serial-dev
sudo apt-get install python-setuptools python-numpy python-scipy python-matplotlib python-mpltoolkits.basemap

Installing using pip The easiest is to install the lastest version of Verif using pip:

sudo pip install verif

Verif should then be accessible type typing verif on the command-line.

Installing from source Alternatively, to install from source, download the source code of the latest version: https://github.com/WFRT/verif/releases/. Unzip the file and navigate into the extracted folder.

Then install Verif by executing the following inside the extracted folder:

sudo python setup.py install

This will create the executable /usr/local/bin/verif. Add this to your PATH environment variable if necessary (i.e add export PATH=/usr/local/bin/:$PATH to ~/.bashrc). If you do not have sudo privileges do:

sudo python setup.py install --user

This will create the executable ~/.local/bin/verif. Add the folder to your PATH environment variable.

Installing on Mac OSX

Install NetCDF, numpy, scipy, and matplotlib, and basemap (optionally). Then install Verif by executing the following inside the extracted folder:

sudo python setup.py install

Verif will then be installed into /usr/local/share/python/ or where ever your python modules are installed (Look for “Installing verif script to <some directory>” when installing). Add the folder to your PATH environment variable, if it is not already added.

Examples

Fake data for testing the program is found in ./examples/. There is one “raw” forecast file and one bias-corrected forecast file (where a Kalman filter has been applied). Here are some example commands to test out:

verif examples/raw.txt examples/kf.txt -m mae
verif examples/raw.txt examples/kf.txt -m ets
verif examples/raw.txt examples/kf.txt -m taylor
verif examples/raw.txt examples/kf.txt -m error
verif examples/raw.txt examples/kf.txt -m reliability -r 0
verif examples/raw.txt examples/kf.txt -m pithist

Available metrics

Here is a list of currently supported metrics. Note that the plots that are possible to make depend on what variables are available in the input files.

Text-based input

To verify your own forecasts, the easiest option is to put the data into the following format:

# variable: Temperature
# units: $^oC$
date     leadtime location  lat     lon      altitude obs      fcst   p10   q0.1
20150101 0        214       49.2    -122.1   92       3.4      2.1    0.914 -1.9
20150101 1        214       49.2    -122.1   92       4.7      4.2    0.858 0.1
20150101 0        180       50.3    -120.3   150      0.2      -1.2   0.992 -2.1

Any lines starting with ‘#’ can be metadata (currently variable: and units: are recognized). After that is a header line that must describe the data columns below. The following attributes are recognized:

• date (in YYYYMMDD)

• unixtime (in seconds since 1970-01-01 00:00:00 +00:00)

• leadtime (forecast lead time in hours)

• location (station identifier)

• lat (in degrees)

• lon (in degrees)

• obs (observations)

• fcst (deterministic forecast)

• p<number> (cumulative probability for a specific threshold, e.g. p10 is the CDF at 10 degrees)

• q<number> (temperature for a specific quantile e.g. q0.1 is the 0.1 quantile)

Either ‘date’ or ‘unixtime’ can be supplied. obs and fcst are the only required columns. Note that the file will likely have many rows with repeated values of leadtime/location/lat/lon/altitude. If station and lead time information is missing, then Verif assumes they are all for the same station and lead time. The columns can be in any order.

Deterministic forecasts will only have “obs” and “fcst”, however probabilistic forecasts can provide any number of cumulative probabilities. For probabilistic forecasts, “fcst” could represent the ensemble mean (or any other method to reduce the ensemble to a deterministic forecast).

For compatibility reason, ‘offset’ can be used instead of ‘leadtime’, ‘id instead of ‘location’, and ‘elev’ instead of ‘altitude’.

NetCDF-based input

For larger datasets, the files in NetCDF are much quicker to read. The following dimensions, variables, and attributes are understood by Verif:

netcdf format {
dimensions:
   time = UNLIMITED;
   leadtime  = 48;
   location = 10;
   ensemble = 21;
   threshold = 11;
   quantile = 11;
variables:
   int time(time);                                  // Valid time of forecast initialization in
                                                    // number of seconds since 1970-01-01 00:00:00 +00:00
   float leadtime(leadtime);                        // Number of hours since forecast init
   int location(location);                          // Id for each station location
   float threshold(threshold);
   float quantile(quantile);                        // Numbers between 0 and 1
   float lat(location);                             // Decimal degrees latitude
   float lon(location);                             // Decimal degrees longitude
   float altitude(location);                        // Altitude in meters
   float obs(time, leadtime, location);             // Observations
   float fcst(time, leadtime, location);            // Deterministic forecast
   float cdf(time, leadtime, location, threshold);  // Accumulated prob at threshold
   float pdf(time, leadtime, location, threshold);  // Probability density at threshold
   float x(time, leadtime, location, quantile);     // Threshold corresponding to quantile
   float pit(time, leadtime, location);             // CDF for threshold=observation

// global attributes:
   : long_name = "Temperature";                     // Used to label axes in plots
   : standard_name = "air_temperature";             // NetCDF/CF standard name of the forecast variable
   : verif_version = "1.0.0";                       // Not required, but will be parsed in the future if format changes
   }

Copyright and license

Copyright © 2015-2017 UBC Weather Forecast Research Team. Verif is licensed under the 3-clause BSD license. See LICENSE file.