Toward estimating climatic trends in SST. Part II: random errors

摘要: Abstract Random observational errors for sea surface temperature (SST) are estimated using merchant ship reports from the International Comprehensive Ocean–Atmosphere Data Set (ICOADS) period of 1970–97. A statistical technique, semivariogram analysis, is used to isolate variance resulting error that spatial variability in a dataset differences paired SST reports. The method largely successful, although there some evidence high-variability regions separation random and not complete, which may have led an overestimate these regions. estimates robust changes details regression estimate variability. shown vary with region, time, quality control applied, measurement, recruiting country, source data. data measured buckets typi...