https://github.com/joshhjacobson/fte
The Fraction of Threshold Exceedance (FTE) metric for verification of spatial structure in ensembles of forecast fields
https://github.com/joshhjacobson/fte
ensemble-verification forecasting fte spatial-data
Last synced: 8 months ago
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The Fraction of Threshold Exceedance (FTE) metric for verification of spatial structure in ensembles of forecast fields
- Host: GitHub
- URL: https://github.com/joshhjacobson/fte
- Owner: joshhjacobson
- License: mit
- Created: 2019-12-08T01:51:19.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2020-09-03T18:34:04.000Z (almost 6 years ago)
- Last Synced: 2025-01-10T09:43:45.347Z (over 1 year ago)
- Topics: ensemble-verification, forecasting, fte, spatial-data
- Language: R
- Size: 2.97 MB
- Stars: 3
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Fraction of Threshold Exceedance
[](https://zenodo.org/badge/latestdoi/226600439)
[](https://doi.org/10.5281/zenodo.3945512)
This project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.
## Overview
This repository contains the R code used for simulation, data processing, and figure generation in Jacobson et al. (2020).
*Important note:* Throughout the simulation code, correlation length is represented by the variable `s`, whereas the paper denotes correlation length as `a`.
#### Data
The corresponding data repository containing simulation results and forecast data can be found [here](https://doi.org/10.5281/zenodo.3592495
). The repository contains the following
- Simulation results: Each .RData file contains eleven sets of 5000 samples of fraction of threshold exceedance (FTE) values for a simulated verification field and corresponding 11-member ensemble. The verification field's correlation length `s_1` is fixed according to the file name (e.g. `_s2.5` indicates correlation length 2.5), and the correlation length of the ensemble mean `s_2` ranges from `0.5*s_1` to `1.5*s_1` by `0.1*s_1`, yielding the eleven simulation sets per file.
- `refcstv2_precip_ccpav3_subset_066_to_072.nc`: GEFS coarse resolution reforecast data and corresponding CCPA analyses.
- `GSDM_downscaled_*_066_to_072.nc`: GEFS forecast data from January, April, July, and October, downscaled to CCPA resolution according to a simplified version of the Gibbs sampling disaggregation model (GSDM).
Code used to process simulation results and forecast-analyses data can be found in `process_results.R` and `process_gefs.R`, respectively.
#### `sim`
Directory containing simulation code and shell scripts used to carry out the simulation experiment.
#### `fig`
Code used to produce all figures.
## Suggested citation
Jacobson, J., Kleiber, W., Scheuerer, M., and Bellier, J.: Beyond univariate calibration: verifying spatial structure in ensembles of forecast fields, Nonlin. Processes Geophys., 27, 411–427, https://doi.org/10.5194/npg-27-411-2020, 2020.