# Continuum Tutorials

The following tutorials demonstrate how to conduct various calculations in Continuum:

# Tutorial Summary:

Learn how to download USGS digital elevation data and extract area for Continuum modeling using QGIS. Continuum is limited to a topography file size of 53M data points and the data downloaded from the USGS is provided in 1°x1° blocks which are too large to import into Continuum.

# Tutorial Summary:

Learn how to download USGS land cover data and extract area for Continuum modeling using QGIS

# Tutorial Summary:

Learn how to download MERRA2 reanalysis data to your PC and how to extract and analyze MERRA2 data at specified coordinates.

If time series met data is imported in Continuum, MERRA2 50 m wind speed data is used in MCP (Measure-Correlate-Predict) to predict long-term wind speeds at each met site.

# Tutorial Summary:

Learn how to format and import met time series data and apply met data QC filters.

# Tutorial Summary:

Learn how to conduct MCP (Measure-Correlate-Predict) using MERRA2 re-analysis 50 m data as the long-term reference data and met time series data. Choose from four MCP methods and bin data by wind direction, time of day, and season. Learn how to run MCP uncertainty analysis.

# Tutorial Summary:

Learn how create Continuum® wind flow model using topography, land cover data and either met TAB files or met time series data files.

# Tutorial Summary:

Learn how create Continuum® wind flow model using topography, land cover data and either met TAB files or met time series data files.

# Tutorial Summary:

Learn how to conduct a Round Robin uncertainty analysis. In a Round Robin analysis, wind flow models are created using subsets of the met sites which are then used to predict the wind speed at all met sites that were excluded from the model. Every combination of met sites are used to create a model and predict the wind speed. The RMS (root-mean-square) of the wind speed estimate errors is calculated and is an indication of the uncertainty of the wind flow model.

# Tutorial Summary:

Learn how to generate gross turbine wind speed and energy estimates using one (or many) power curves.

# Tutorial Summary:

Learn how to create the exceedance model needed for calculating production losses (other than wake loss). Performance factor curves are used to define both the loss and uncertainty associated with various loss factors. Choose from 17 performance curves to define. Run a Monte Carlo model which combines all performance factors to produce the overall composite P-table. The P50 value of the composite table is used to calculate the turbine net energy production..

# Tutorial Summary:

Learn how to create wake loss model, generate wake loss estimates, and find net energy production estimates at turbine sites. Learn how to create maps of waked wind speed.

# Tutorial Summary:

Learn how to calculate number of shadow flicker hours per month at each specified zone and create map of shadow flicker hours.

# Tutorial Summary:

Learn how to calculate ice throw probability statistics for each specified zone.

# Tutorial Summary:

Learn how to generate a turbine sound propagation model and estimate sound levels at locations of interest.