- Efficient and easy resource prospecting
- Setting customer expectations
- Performing red flag analysis
- Prioritizing leads and potential sites
Tailor the way you see information to the specific needs and demands of your work all within a seamless, drag and drop interface featuring page layout options, maximize and scale tools, and multiple page views.
Select the region you want to explore from the entire globe. With worldwide coverage, these global datasets have few constraints. If you want to develop there, we can provide you the tools to get started. The Prospecting Tools have global coverage between 60 degrees North and 60 degrees South. ERA-I and MERRA time series data are available from pole-to-pole. The NNRP-D data is available for much of the world but not all locations, regions available include the United States, South America, Europe, North and South Africa, the Middle East, Central and East Asia, and Australia.
Time Series and Prospecting tools are made available via a client-specific dashboard interface. Time series data selected for download will be delivered to client's secure Downloads page on the 3TIER website.
3TIER has made it easier to compare multiple reanalyses datasets by processing the various datasets so they are all temporally interpolated to an hourly resolution, all at the same 100m hub height and they are horizontally interpolated to be point specific. The hourly values of each long-term data set have been scaled to match the long-term mean of 3TIER's Prospecting Tools dataset, which covers the globe at a resolution of 5km and from the time period from 1997 to 2006.
The Wind Prospecting Tools are made possible by the most comprehensive and geographically complete wind dataset available. Founded on the latest science, the dataset was created through the application of advanced NWP (Numerical Weather Prediction) models and incorporates publicly available observations from meteorological towers worldwide. 3TIER's methodology is based on proven, state-of-the-art methods supported by a large scientific and research community and the result was over a decade of simulations for wind resource data.
If you are unfamiliar with the technical terminology on this page, please visit our Glossary for more information.