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Cleaned Data
Weather data quality control – "cleaning" – is fundamental to how we provide weather data
The availability of reliable "ground truth" is fundamental to the pricing and settling of weather risk contracts
This document shows how we approach the cleaning task
Data Cleaning
The quality of meteorological observations varies significantly
Missing or erroneous observations are commonplace
A lot of weather data available in public archives is stored in an inconsistent manner and is of low quality
Fundamentals of a proper data cleaning
Organization
logical flow
data management
Redundancy
data sources
testing
estimates
delivery
Flexibility
consider the situation
appropriateness of tests
Human interaction
meteorology is complicated
introduction of non-automated information
Transparency
explanation of the process
share what has been cleaned
no-one likes "black boxes"
Documents and Brochures
Documents
About Speedwell Cleaned Data
Please
contact us
for more information.
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