Giter VIP home page Giter VIP logo

lrose-titan's Introduction

front page

TITAN - Thunderstorm Identification Tracking Analysis & Nowcasting

  1. Introduction
  2. Storm Indentification
  3. Storm Tracking
  4. Forecasting
  5. Storm Analysis
  6. Storm Climatology
  7. History
  8. Acknowledgements

TITAN on GitHub

The TITAN project is now hosted on GitHub.

Installing the TITAN applications

The TITAN applications are part of the LROSE - the Lidar Radar Open Software Environment.

The LROSE core code can be found at lrose-core.

The TITAN applications should be compiled and installed following the documentation for the core.

Installing the TITAN scripts and parameter files

The templates for the scripts and parameter files reside in this lrose-titan respository - lrose-titan/projects.

To install a template, see these docs.

The TITAN runtime environment

See runtime_environment.md for help on setting up the required runtime environment.

Reference documentation

Installing and running TITAN

  1. Overview
  2. Install
  3. Running TITAN
  4. The data system
  5. Sample data flows
  6. Catalog of applications
  7. Getting started with Linux

Manuals from TITAN users

  1. TITAN displays - SA Weather Service
  2. TITAN analysis - SA Weather Service
  3. TITAN systems admin - SA Weather Service
  4. TITAN manual - Portuguese - IPMET, Brazil

Thanks to the above organizations for contributing to the documentation.

Data formats

  1. MDV
  2. MDV XML
  3. Tstorms XML
  4. Time series IWRF

header with logo

Photos courtesy of Greg Thompson, NCAR/RAL, Boulder, CO, USA.

lrose-titan's People

Contributors

mike-dixon avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

lrose-titan's Issues

Setup for Rview use of non-NWS MDV Files

We have the latest version of Lrose-core installed on Linux Mint system. We are able to use the system to view NWS radar data following nexrad_single configuration information (https://github.com/NCAR/lrose-titan/tree/master/projects/nexrad_single). We then configure the system for the Calgary radar (Olds) used in the Albert Weather Modification project. The configuration adjusted the projDir/system/params/project_infor file information and ~/.cshrc file, including setting the $DATA_DIR correctly. "start_all" brings up the Rview display and displays the correct map and information from SPDB files; however, no image data is available from existing MDV files.

What configuration is necessary, or is a file conversion necessary, for the new lrose-titan to use the Calgary (C-band) radar MDV files compared to the MDV files from the NWS?

I see that the NWS setup has a MDV files as $DATA_DIR/mdv/radarCart/kfws/20190906/20190906_113632.mdv (for example), while our Calgary has MDV files as $DATA_DIR/mdv/radar/cart/20170914_231547.mdv (for example). We used links to provide the same file path and copy over a files to the YYYYMMDD_HHMMSS.mdv file name format; however, still no Rview image. Is there a critical environmental variable that may be set incorrectly? Do the MDV format itself need to be updated? Is there a way to test/see why Rview is not able to display image from the Calgary MDV files?

Weather Radar

Hi,
I want to know regarding the gridding of radar data that contains individual files corresponding for each elevation. How to modify the code in Radx2Grid script to read such individual files and make it as a single gridded file?

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.