A call for new approaches to quantifying biases in observations of sea-surface temperature

摘要: AbstractGlobal surface temperature changes are a fundamental expression of climate change. Recent, much-debated variations in the observed rate change have highlighted importance uncertainty adjustments applied to sea (SST) measurements. These compensate for systematic biases and observing protocol. Better quantification their uncertainties would increase confidence estimated provide higher-quality gridded SST fields use many applications.Bias been based on either physical models processes or assumption an unchanging relationship between reference dataset, such as night marine air temperature. approaches produce similar estimates bias largest space time scales, but regional differences can exceed uncertainty. We describe challenges improving our understanding ...