{"id":27699288,"url":"https://github.com/jgomezdans/dalec_pf","last_synced_at":"2025-04-25T17:18:01.047Z","repository":{"id":28275084,"uuid":"31785572","full_name":"jgomezdans/dalec_pf","owner":"jgomezdans","description":"A data assimilation experiment with the DALEC ecosystem model","archived":false,"fork":false,"pushed_at":"2024-07-03T14:13:14.000Z","size":18479,"stargazers_count":6,"open_issues_count":1,"forks_count":2,"subscribers_count":1,"default_branch":"master","last_synced_at":"2025-04-25T17:17:55.924Z","etag":null,"topics":["bayesian-inference","carbon-model","dalec","data-assimilation","ecosystem-modeling","particle-filters","vegetation-model"],"latest_commit_sha":null,"homepage":"","language":"Jupyter Notebook","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"gpl-2.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/jgomezdans.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}},"created_at":"2015-03-06T19:36:03.000Z","updated_at":"2025-02-24T06:50:28.000Z","dependencies_parsed_at":"2022-08-26T14:00:19.549Z","dependency_job_id":null,"html_url":"https://github.com/jgomezdans/dalec_pf","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jgomezdans%2Fdalec_pf","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jgomezdans%2Fdalec_pf/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jgomezdans%2Fdalec_pf/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/jgomezdans%2Fdalec_pf/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/jgomezdans","download_url":"https://codeload.github.com/jgomezdans/dalec_pf/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":250860493,"owners_count":21498946,"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":["bayesian-inference","carbon-model","dalec","data-assimilation","ecosystem-modeling","particle-filters","vegetation-model"],"created_at":"2025-04-25T17:18:00.562Z","updated_at":"2025-04-25T17:18:01.039Z","avatar_url":"https://github.com/jgomezdans.png","language":"Jupyter Notebook","funding_links":[],"categories":[],"sub_categories":[],"readme":"[![Binder](http://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/jgomezdans/dalec_pf/master)\n \n# Experiments with the DALEC ecosystem model and a sequential Metropolis particle filter\n\n## J Gómez-Dans (NCEO \u0026 UCL)\n\nThis repository contains Python code to carry out some computational experiments with an\necosystem model (the [DALEC](http://www.geos.ed.ac.uk/homes/mwilliam/DALEC.html) of Mat Williams in Edinburgh) using a particle filter. The particular flavour of particle filter that's being used is the sequential Metropolis-Hastings filter, described in [Dowd (2007)](http://www2.geog.ucl.ac.uk/~mdisney/teaching/teachingNEW/methods/diff/Dowd.Bayesian_DA.JMSys.2007.pdf). You can fidn the Python code files, but also an IPython notebook with a lab on exploring this DA frameweork. An HTML-rendered version of the IPython notebook is available [here](http://jgomezdans.github.io/dalec_pf/DA_practical.html), or you can see it in [nbviewer](http://nbviewer.ipython.org/github/jgomezdans/dalec_pf/blob/master/DA_practical.ipynb).\n\nAlso some \u003ca href=\"http://jgomezdans.github.io/dalec_pf/PF_presentation.slides.html\"\u003eintroductory slides\u003c/a\u003e.\n\n### Using on UCL's UNIX system\n\nNote that in order to use the notebook, we need to do the following:\n    \n    source activate ipy3\n    \nThis lets you use the IPython notebook version 3.0.0. To have access to the notebooks etc, you can change the directory to your data storage (typically ``~/DATA``), and\n\n    git clone https://github.com/jgomezdans/dalec_pf.git\n    \nIf you're running this on a computer without ``git``, you can just download [the zipfile](https://github.com/jgomezdans/dalec_pf/archive/master.zip). Note that the only dependencies here are\n\n* IPython notebook (\u003e= v 3.0.0)\n* Matplotlib\n* Numpy\n* Scipy\n\nThese are all available from e.g. [Anaconda](http://continuum.io/downloads) standard distributions.\n\n### Using with Binder\n\n[![Binder](http://mybinder.org/badge.svg)](https://mybinder.org/v2/gh/jgomezdans/dalec_pf/master)\n\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjgomezdans%2Fdalec_pf","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fjgomezdans%2Fdalec_pf","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fjgomezdans%2Fdalec_pf/lists"}