1. Lidar Radar Open Software Environment LROSE Mike Dixon Earth Observing Laboratory (EOL) National Center for Atmospheric Research (NCAR) Boulder, Colorado August 2012

2. Introduction LROSE is an NSF-backed effort to enhance the software tools available to the scientific community of users of radars, profilers and lidars. What is LROSE? A white-paper was submitted to NSF, as a result of which some seed funding has been provided to EOL to allow work to commence We hope this will be followed by funding for work over 3 years or so

3. Goals to provide to the scientific community a modern, fully-featured software suite for handling radar, profiler and lidar data standardized, self-describing data formats Primary goal: Secondary goals: improved efficiency for developers and users common apps for real-time, post-analysis and education code in high-level languages where possible increased collaboration with user institutions

5. Implementation Primarily NetCDF, using the CF conventions as applicable. XML and binary will be used if NetCDF is not appropriate. Data formats: High-level languages (e.g. Python, Matlab ®) where possible. The core will have a large fraction of C++, because of legacy code. Languages: This will be developed and maintained by NCAR. Core suite: Developed by users at other institutions. Likely to be mostly algorithms. High-quality modules may be included in the core suite when mature. Community suite:

6. Stretching the funding through collaboration with institutions such as the following: UNIDATA NCAR/RAL Universities DOE ARM project – Argonne National Laboratory, Pacific Northwest National Laboratory NASA – use of HDF5 and TRMM-RSL library BaltRad – radar network for the Baltic Sea Region (Sweden, Norway, Finland, Denmark, Germany, Latvia, Estonia, Lithuania) Bureau of Meteorology, Australia South African Weather Service IPMET, Brazil

7. Radial space algorithms Some of these could be provided by the community

8. Thank you NCAR is supported by the National Science Foundation.