A numerical framework to estimate hardware, data processing and pointing uncertainties of ground-based Doppler wind lidars
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Updated
Oct 11, 2024 - Jupyter Notebook
A numerical framework to estimate hardware, data processing and pointing uncertainties of ground-based Doppler wind lidars
Outline and materials for a course for ITN LIKE ESRs on open science
A glossary of terms for wind lidar
Repository for wind data analysis using MATLAB and R, as part of a research project at the Technical University of Munich. Developed methods for data processing, visualization, and model accuracy enhancement.
Monte Carlo based Lidar Uncertainty Model
Files and feedback platform for the proposed 2020 update to the "IEA Wind Recommended Practice 15 on Ground-Based Vertically-Profiling Remote Sensing For Wind Resource Assessment (2013)" document
Links to lidar data samples with known provenance
Contains the source code of the minutes of the 2021 General Meeting.
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