Rapid warming in the GulfofMaine reverses 900 years of cooling NaturePortfolio
O and the various temperature datasets based on instrumental data were assessed using simple linear regression optimized with least squares, Pearson’s r correlation coefficients, and associated p values , after accounting for autocorrelation using AR modeling . Linear interpolation was used to fill in infrequent missing monthly BBH data .
O data as well as the CESM-LME fully forced ensemble member mean . This analysis employs simple linear regression optimized with least squares to find the two regression lines that incorporate all of the data and produce the least errors. The place in the time series where the change in regression line occurs is termed the breakpoint and can be interpreted as the point where climatic trends change.
To determine the significance of the climate properties in the North Atlantic during extreme years in the Gulf of Maine, bootstrapping with replacement was used to compare the conditions during extreme Gulf of Maine years to all years in the record over the time period analyzed .
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