Trend Analysis of SWMP Temperature with Missing Data

Webinar Brief Resource
September 2018

The National Estuarine Research Reserves’ System-wide Monitoring Program  (SWMP) data can contribute to research and discussion on climate change. The treatment of temperature data is of particular concern when applied to the analysis of interannual trends. Seasonal cycles can impose fluctuations that greatly exceed diurnal, tidal, or event-scale fluctuations, and seasonally skewed distribution of missing data biases calculations of annual or seasonal means. 

This webinar provided insights on encoded algorithms for measuring temperature trends, including the conservative approach of replacing missing temperature data with smoothed day-of-the-year averages and seasonal decomposition as well as the benefits and disadvantages of alternative approaches.