From Lrose Wiki
The Lidar Radar Open Software Environment
The current LROSE release is called “Elle” (a pink blend fragrant rose) and encompasses six key toolsets that define a core lidar/radar workflow: Convert, Display, QC, Grid, Echo, and Winds
Elle can be compiled in C++ for native apps on Linux or Mac. Preliminary support is available for some tools on Windows.
Full documentation for Elle is available on the LROSE website
We encourage users to register in order to receive critical software updates, and sign up for the mailing list to help build the LROSE community.
Help can be obtained by posting issues directly to the lrose-cyclone Github repository, via our help mailing list, or Discourse user forum.
LROSE is a co-operative project between:
- Dept. of Atmospheric Science at Colorado State University (CSU) and the
- The Earth Observing Lab at the National Center for Atmospheric Research (NCAR).
LROSE is funded by the National Science Foundation.
Elle focuses on high-quality, well-tested, well-maintained and well-documented key applications as ‘building blocks’, allowing users to assemble trusted, reproducible workflows to accomplish more complex scientific tasks.
- Mac Homebrew installation - For Native applications on the Mac, the recommended method is to use Homebrew. The formula contains all the necessary dependencies and builds instructions.
- Mac Build - Source compilation on the Mac is best performed using a supplied Python script.
- Linux Build - Source compilation on the Linux is best performed using a supplied Python script.
- CIDD Binary Release - CIDD depends on a 32-bit build, which complicates the build and install for the core. The CIDD display application is not included in the standard lrose-core packages (above).
- lrose quickstart tutorial - This tutorial will go over the basics to get up and running quickly with LROSE.
- basic elle tutorial - This tutorial will go through the basic steps necessary to convert a raw radar file to CfRadial, calculate Kdp and three-dimensional rain rate, and estimate the surface rainfall. The purpose of this tutorial is to confirm that the install process was successful and that some programs are working.
- basic+ elle tutorial - This tutorial is similar to the basic elle tutorial with the added tasks of downloading GFS analysis from which to estimate a sounding near the radar and running the RadxBeamBlock application.
- full elle tutorial - This tutorial assumes the user has radar data downloaded in an acceptable radar format and walks through the most important parameters that need to be edited to run the QPE workflow.
- elle grid tutorial - This tutorial converts raw NEXRAD data to the cfradial format and then interpolates to a cartesian grid and applies a convective stratiform separation algorithm.
In the current release, the following tools are available:
- RadxPrint - Query files to determine properties and support by the Radx engine
- RadxConvert - Convert 24 different lidar and radar formats to CfRadial NetCDF format
- RadxBufr - Convert Bufr format to CfRadial NetCDF format
- HawkEye - Real-time and archive display suitable for both scanning and vertically pointing radars.
- RadxDiffFields - Compare two fields in different CfRadial files
- RadxDiffVol - Compare two volumes in different CfRadial files
- RadxMergeFields - Merge fields from different CfRadial files
- RadxFilter - Perform simple filtering operations
- RadxPersistentClutter - Create a mask for persistent ground clutter
- Radx2Grid - Gridding and interpolation of ground-based radar data
- RadxKdp - KDP and Attenuation calculations
- RadxPid - KDP, Attenuation, and Particle Identification
- RadxRate - KDP, Attenuation, PID, and Rain Rate
- RadxQpe - Accumulated Quantitative Precipitation Estimation
- RadxBeamBlock - Beam Blockage Estimation
- RadxEvad - Extended Velocity Azimuth Display single-Doppler retrieval
- FRACTL - Fast Reorder and CEDRIC Technique in LROSE multi-Doppler retrieval
- SAMURAI - Variational multi-Doppler retrieval and analysis package
- VORTRAC - Vortex Objective Radar Tracking and Circulation single-Doppler retrieval