Reprocessing weather data from Smart Stake weather stations on the Greenland ice sheet

Sammanfattning: To identify a climate trend, a lot of data is required for the conclusion to be accurate. A trend can require 30 years worth of measurements in order to say anything with certainty about how the climate is changing. It is therefore important to utilize every source of data in climate research. In this thesis, weather data from the Smart Stake weather stations on the Greenland ice sheet was reprocessed and utilized in analysis after not having been worked with since the early 2000s. Erroneous data was selectively discarded, and the remaining data was merged for each of the five Smart Stake stations. After being formatted, the data was adjusted and processed by filters in order to reduce the amount of noise in the measurements. The measured quantities, such as temperature, wind velocity and snow height, were plotted and compared in order to establish the causes of increased melting at certain stations. 2003 was found to be a year with more melt around the Smart Stake stations than other years, and 2004 was found to have particularly small amounts of melt occurring. A station at a lower elevation than others, experiencing higher than average temperatures, measured more melting. This implies a reliable data set which means that the data from the Smart Stake stations can be used in further research, in climate models and for verification purposes, as well as by legislators and for construction planning.