作者: Kenneth E. Kunkel , David R. Easterling , Kenneth Hubbard , Kelly Redmond , Karen Andsager
DOI: 10.1175/JTECH1816.1
关键词: Standard deviation 、 Meteorology 、 Quality control 、 Environmental science 、 Anomaly (natural sciences) 、 Statistics 、 Process (computing) 、 Outlier 、 Set (abstract data type) 、 Digitization 、 Observer (quantum physics)
摘要: Abstract A recent comprehensive effort to digitize U.S. daily temperature and precipitation data observed prior 1948 has resulted in a major enhancement the computer database of records National Weather Service’s cooperative observer network. Previous digitization efforts had been selective, concentrating on state or regional areas. Special quality control procedures were applied these enhance their value for climatological analysis. The involved two-step process. In first step, each individual was evaluated against set objective screening criteria flag outliers. These included extreme limits spatial comparisons with nearby stations. following automatically flagged: 1) all values exceeding 254 mm (10 in.) 2) whose anomaly from monthly mean that station exceeded five standard deviations. Additional flagged based differences ...