Vaisala Energy Support
Why are the long-term mean values of each data set so similar and why don’t they match the values I get when I download these data directly from the various global modeling centers?
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. 3TIER did this mean matching to focus the user’s attention on trends and variability in the data and not on simple biases, which would typically be removed when these data are used for long-term correction.
Note that since each of the reanalysis products extends beyond the time period of the Prospecting dataset, the long-term annual average values do not match exactly.
More Wind Online Tools Questions
- Which Wind Time Series dataset should I choose?
- How do I enter a location?
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- What does the Annual Mean Wind Speed Tool provide?
- How do I interpret the wind rose provided by the Annual Mean Wind Rose Tool?
- What does the Wind Speed Distribution Tool provide?
- Why do we show a +/- next to the annual value?
- What wind speeds are shown on the map?
- What affects wind at a given site?
- How can I compare sites side-by-side?
- How do I change locations for individual tools?
- What is a hub height?
- What makes a good wind resource?
- What is a wind resource assessment?
- What do the colors on the map mean?
- What is the source of the information?
- How accurate are the Wind Prospecting Tools?
- Why does the map disappear?
- How was the 5 km global wind dataset created?
- Does 3TIER incorporate observational data?
- What were 3TIER's data validation procedures for the 5 km global wind dataset?
- What happened to 3TIER’s Reference Wind Time Series Product?
- Why do all the various datasets have different start and end times?
- Doesn’t horizontal resolution matter? What about downscaling with weather models like WRF and MM5?
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