The use of a high measurement density and consistent methods provides that errors resulting from an imperfectly
representative measurement network are largely consistent and correctable (Pelto, 1996, 1997, 2000).
Not exact matches
In 2014, Australian coastal researchers called for the creation of a national coastline observatory, with basic data — such as sub-aerial profiles, bathymetry and inshore wave forcing
measurements — collected routinely from a
network of around 20 «
representative» beaches across Australia.
We had the advantage of already understanding the overall mass balance pattern of each glacier in selecting
measurement networks that would provide the most
representative coverage for the glacier given the total number of
measurements in each sample (Pelto, 1996; Miller and Pelto, 1999).
These surface
networks have had so many changes over time that the number of stations that have been moved, had their time of observation changed, had equipment changes, maintenance issues, or have been encroached upon by micro site biases and / or UHI using the raw data for all stations on a national scale or even a global scale gives you a result that is no longer
representative of the actual
measurements, there is simply too much polluted data.