{"id":19696285,"url":"https://github.com/joshhjacobson/fte","last_synced_at":"2025-10-09T12:03:49.623Z","repository":{"id":108754496,"uuid":"226600439","full_name":"joshhjacobson/FTE","owner":"joshhjacobson","description":"The Fraction of Threshold Exceedance (FTE) metric for verification of spatial structure in ensembles of forecast fields","archived":false,"fork":false,"pushed_at":"2020-09-03T18:34:04.000Z","size":3111,"stargazers_count":3,"open_issues_count":0,"forks_count":0,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-01-10T09:43:45.347Z","etag":null,"topics":["ensemble-verification","forecasting","fte","spatial-data"],"latest_commit_sha":null,"homepage":null,"language":"R","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"mit","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/joshhjacobson.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null}},"created_at":"2019-12-08T01:51:19.000Z","updated_at":"2020-10-28T17:57:05.000Z","dependencies_parsed_at":"2023-06-04T19:00:56.736Z","dependency_job_id":null,"html_url":"https://github.com/joshhjacobson/FTE","commit_stats":{"total_commits":21,"total_committers":1,"mean_commits":21.0,"dds":0.0,"last_synced_commit":"22eec6e985d6b41c3206a947cde6f65487f559e6"},"previous_names":[],"tags_count":3,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshhjacobson%2FFTE","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshhjacobson%2FFTE/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshhjacobson%2FFTE/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/joshhjacobson%2FFTE/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/joshhjacobson","download_url":"https://codeload.github.com/joshhjacobson/FTE/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":241007837,"owners_count":19893063,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["ensemble-verification","forecasting","fte","spatial-data"],"created_at":"2024-11-11T19:34:33.917Z","updated_at":"2025-10-09T12:03:44.589Z","avatar_url":"https://github.com/joshhjacobson.png","language":"R","funding_links":[],"categories":[],"sub_categories":[],"readme":"# Fraction of Threshold Exceedance\n\n[![DOI](https://zenodo.org/badge/226600439.svg)](https://zenodo.org/badge/latestdoi/226600439)\n[![DOI](https://zenodo.org/badge/DOI/10.5281/zenodo.3945512.svg)](https://doi.org/10.5281/zenodo.3945512)\n\n\nThis project is licensed under the MIT License - see the [LICENSE.md](LICENSE.md) file for details.\n\n## Overview\n\nThis repository contains the R code used for simulation, data processing, and figure generation in Jacobson et al. (2020).\n\n*Important note:* Throughout the simulation code, correlation length is represented by the variable `s`, whereas the paper denotes correlation length as `a`.\n\n#### Data\nThe corresponding data repository containing simulation results and forecast data can be found [here](https://doi.org/10.5281/zenodo.3592495\n). The repository contains the following\n- 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.\n- `refcstv2_precip_ccpav3_subset_066_to_072.nc`: GEFS coarse resolution reforecast data and corresponding CCPA analyses.\n- `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).\n\nCode used to process simulation results and forecast-analyses data can be found in `process_results.R` and `process_gefs.R`, respectively.\n\n\n#### `sim`\nDirectory containing simulation code and shell scripts used to carry out the simulation experiment.\n\n\n#### `fig`\nCode used to produce all figures.\n\n\n## Suggested citation\nJacobson, 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.\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshhjacobson%2Ffte","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjoshhjacobson%2Ffte","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjoshhjacobson%2Ffte/lists"}