A Tool for Standardized Evaluation of Decadal Hindcast Systems
The tool calculates the Mean Squared Error Skill Score (MSESS) its decomposition (Correlation + Conditional Bias) and the Continuous Ranked Probability Skill Score (CRPSS) as proposed by Goddard et al. [2013]. The MSESS of both models and the MSESS "between" the two models (model versions) are calculated for different leadtimes. The CRPSS is calculated for both models defined by the input parameters.
The main documentation can be found here:
Download and install MurCSS via PyPI
pip install murcss
Or you can clone this repository:
git clone https://github.com/illing2005/murcss.git
Please open an issue on GitHub or write an email to sebastian.illing@met.fu-berlin.de.
1.6.1:
New Features included:
- field mean analysis --> including plots
- zonal mean analysis --> including plots
- basic output option
Copyright (C) 2014 Sebastian Illing This program is free software: you can redistribute it and/or modify it under the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version.
This program is distributed in the hope that it will be useful, but WITHOUT ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more details.
You should have received a copy of the GNU General Public License along with this program. If not, see http://www.gnu.org/licenses/