LROSE: Lidar Radar Open Software Environment

LROSE is a National Science Foundation (NSF) supported project to develop common software for the Lidar, Radar, and Profiler community. LROSE is based on collaborative, open source development. The core package is jointly developed by Colorado State University (CSU) and the Earth Observing Laboratory at the National Center for Atmospheric Research (NCAR/EOL).

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Curated Tools

Lidar, Radar, and Profiler tools made to simplify radar science data processes, without limiting customization

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Rainfall Estimation

Calculate KDP, run the PID algorithm, and estimate precipitation rate.

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Wind Analysis

VORTRAC

Single Doppler radar wind retrieval

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Wind Analysis

SAMURAI

Spline Analysis at Mesoscale Utilizing Radar and Aircraft Instrumentation

Keep in Touch

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This forum is for users and developers to build the LROSE community by asking questions and sharing knowledge

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News

New releases and software updates are listed here

The LROSE Science Gateway is under development, focusing on the Rainfall Estimation workflow.

LROSE Team

LROSE is led by scientists and engineers at CSU and NCAR

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Jennifer DeHart

CSU

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Brenda Javornik

NCAR

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Michael Bell

CSU

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Michael Dixon

UCAR