UNRESP FORECASTING System (Beta Release)

This is the code repository for an Open Source* Volcanic Emissions forecasting tool centred on the Masaya Volcano in Nicaragua.

This code incluses the tools to download, install,set up and run a CALPUFF dispersion model in order to produce a computationally inexpensive qualitative forecast of volcanic emissions. Open source visualization tools are provided in the system to plot the emissions files on to a map and display in javascript static site viewer.

An example of the model being run can be seen here: https://homepages.see.leeds.ac.uk/~earunres/

*currently relies on non open source intel compilers and CALPUFF model is not fully open source.

Features

• Automated install and set up of CALPUFF
• Automated required code changes
• Automated building and running of the model for this set up
• Generation of required inputs
• A fully automated system to run the forecasting system and produce output with one script
• A set of Python tools developed for visualization

Coming soon

• Viewing archived forecasts (select past date)
• Model Validation (may lead to code changes)
• Continuing documentation improvements
• Support for non intel compilers.
• Python tools for analysis of long term output

v2.3.1

NEW FEATURES

• Standalone Web framework - large JS library additions to allow for minor tweaks to be easily implemented
• Displays AQ sensors PM2.5, SO2 or both
• SO4 display option added
• Enhanced documentation

BUG FIXED

• SO4 scales according to Hawaii scale
• Fixes added for various environments and catches added for slightly incorrect set-ups
• Fixed some of site code

Coming soon

• Automated Archiving

UNRESP FORECASTING V2.3

NEW FEATURES

• Standalone Web framework - large JS library additions to allow for minor tweaks to be easily implemented
• Displays AQ sensors PM2.5, SO2 or both
• SO4 display option added

BUG FIXED

• SO4 scales according to Hawaii scale
• Fixes added for various environments and catches added for slightly incorrect setups

Coming soon

• Automated Archiving

UNRESP Forecasting System (transferable version)

New Features:

• Documentation improvements - in progress but additional README's added. Installation instructions.
• Python 2 and 3 compatibility
• Run_ext.sh available (removes any Leeds specific links)
• Dependencies listed in requirements and yml file

Bug Fixes:

• Anaconda installation much more stable and less buggy (more future proof

CEMAC Visualization and Automation

What's new in version 2.0:

New Features:

• Commandline options for Run.sh:
  • Now defaults to production settings
  • Options allow to output to test location, turn viz off, turn model off, turn mp4 generation on
• Enhanced Source code documentation
  • Run.sh now feature more documentation to allow new users to understand what parts can be edited
  • Run.sh now has a help function
• Update site tool now incorporated as an option in Run.sh rather than a separate tool

Bug Fixes:

• NAM DATA requires https download
• Initial testing of command line options were buggy

CEMAC Visualization

New Features

• Added in command line options to Run.sh to allow for seamless bug fixes to chron job
• Updated documentation accordingly

CEMAC Visualization

New Features

• Bug fix
  NAM data now accessed via https

CEMAC Visualization

New features

• Genmaps.py has various enhancements
• Code for displaying via HTML and javascript included
• Run.sh moves visualization to public html

v1.0 Original UoL Version

This is the original development code