% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 11201 % Primary Name: HOWARD AFB % Record Type: TAVG % Country: Canton Island % Latitude: 8.98333 +/- 0.00833 % Longitude: -79.55417 +/- 0.00833 % Elevation (m): 39.00 +/- 30.50 % # of Months: 27 % % IDs: wmo - 78806 % wmssc - 788060 % % Sources: World Monthly Surface Station Climatology % Monthly Climatic Data of the World % % Site Hash: df8a51e827e014986ed18576d6151d20 % Raw Data Hash: d90493f23e8f76b174cbe9368b3f4af3 % Adj Data Hash: 1d63c4dba51345ac27fb066b2013f0b8 % % The data for this station is presented below in several columns and in % several forms. The temperature values are reported as "raw", % "adjusted", and "regional expectation". % % The "raw" values reflect the observations as originally ingested by % the Berkeley Earth system from one or more originating archive(s). % These "raw" values may reflect the merger of more than one temperature % time series if multiple archives reported values for this location. % Alongside the raw data we have also provided a flag indicating which % values failed initial quality control checks. A further column % dates at which the raw data may be subject to continuity "breaks" % due to documented station moves (denoted "1"), prolonged measurement % gaps (denoted "2"), documented time of observation changes (denoted "3") % and other empirically determined inhomogeneities (denoted "4"). % % In many cases, raw temperature data contains a number of artifacts, % caused by issues such as typographical errors, instrumentation changes, % station moves, and urban or agricultural development near the station. % The Berkeley Earth analysis process attempts to identify and estimate % the impact of various kinds of data quality problems by comparing each % time series to neighboring series. At the end of the analysis process, % the "adjusted" data is created as an estimate of what the weather at % this location might have looked like after removing apparent biases. % This "adjusted" data will generally to be free from quality control % issues and be regionally homogeneous. Some users may find this % "adjusted" data that attempts to remove apparent biases more % suitable for their needs, while other users may prefer to work % with raw values. % % Lastly, we have provided a "regional expectation" time series, based % on the Berkeley Earth expected temperatures in the neighborhood of the % station. This incorporates information from as many weather stations as % are available for the local region surrounding this location. Note % that the regional expectation may be a systematically a bit warmer or % colder than the weather stations by a few degrees due to differences % in mean elevation and other local characteristics. % % For each temperature time series, we have also included an "anomaly" % time series that removes both the seasonality and the long-term mean. % These anomalies may provide an easier way of seeing changes through % time. % % Reported temperatures are in Celsius and reflect monthly averages. As % these files are intended to be summaries for convenience, additional % information, including more detailed flagging and metadata, may be % available in our whole data set files. % % The Berkeley Earth analysis was run on 15-Nov-2013 19:55:48 % % Raw Data QC Continuity Adjusted Data Regional Expectation % Year, Month, Temperature, Anomaly, Failed, Breaks, Temperature, Anomaly, Temperature, Anomaly 1961 2 NaN NaN NaN NaN NaN NaN 27.517 0.049 1961 3 NaN NaN NaN NaN NaN NaN 28.241 0.098 1961 4 NaN NaN NaN NaN NaN NaN 28.183 0.151 1961 5 NaN NaN NaN NaN NaN NaN 27.609 0.212 1961 6 NaN NaN NaN NaN NaN NaN 26.439 -0.193 1961 7 NaN NaN NaN NaN NaN NaN 26.164 -0.295 1961 8 NaN NaN NaN NaN NaN NaN 26.623 0.131 1961 9 NaN NaN NaN NaN NaN NaN 26.217 -0.230 1961 10 NaN NaN NaN NaN NaN NaN 26.067 -0.031 1961 11 NaN NaN NaN NaN NaN NaN 26.028 -0.282 1961 12 NaN NaN NaN NaN NaN NaN 26.713 0.201 1962 1 NaN NaN NaN NaN NaN NaN 27.085 0.199 1962 2 28.100 0.332 0 0 28.100 0.332 27.802 0.334 1962 3 28.300 -0.143 0 0 28.300 -0.143 28.395 0.251 1962 4 28.600 0.268 0 0 28.600 0.268 28.271 0.239 1962 5 26.600 -1.096 0 0 26.600 -1.096 26.945 -0.451 1962 6 26.700 -0.232 0 0 26.700 -0.232 26.132 -0.500 1962 7 27.500 0.741 0 0 27.500 0.741 26.529 0.070 1962 8 26.900 0.109 0 0 26.900 0.109 26.315 -0.177 1962 9 27.100 0.353 0 0 27.100 0.353 26.608 0.161 1962 10 26.800 0.403 0 0 26.800 0.403 26.276 0.179 1962 11 26.200 -0.409 0 0 26.200 -0.409 26.224 -0.086 1962 12 25.100 -1.711 0 0 25.100 -1.711 26.267 -0.245 1963 1 26.700 -0.486 0 0 26.700 -0.486 26.776 -0.110 1963 2 26.400 -1.368 0 0 26.400 -1.368 26.935 -0.534 1963 3 27.800 -0.643 0 0 27.800 -0.643 28.191 0.048 1963 4 26.600 -1.732 0 0 26.600 -1.732 27.226 -0.806 1963 5 26.800 -0.896 0 0 26.800 -0.896 26.879 -0.518 1963 6 26.800 -0.132 0 0 26.800 -0.132 26.528 -0.104 1963 7 26.700 -0.059 0 0 26.700 -0.059 26.278 -0.182 1963 8 27.300 0.509 0 0 27.300 0.509 26.688 0.196 1963 9 NaN NaN NaN NaN NaN NaN 26.726 0.279 1963 10 26.700 0.303 0 0 26.700 0.303 26.417 0.319 1963 11 27.500 0.891 0 0 27.500 0.891 26.615 0.305 1963 12 28.200 1.389 0 0 28.200 1.389 27.461 0.950 1964 1 28.800 1.614 0 0 28.800 1.614 27.713 0.827 1964 2 NaN NaN NaN NaN NaN NaN 28.187 0.719 1964 3 29.700 1.257 0 0 29.700 1.257 29.367 1.224 1964 4 29.200 0.868 0 0 29.200 0.868 28.561 0.529 1964 5 NaN NaN NaN NaN NaN NaN 27.696 0.300 1964 6 27.400 0.468 0 0 27.400 0.468 26.308 -0.324 1964 7 NaN NaN NaN NaN NaN NaN 26.201 -0.259 1964 8 27.800 1.009 0 0 27.800 1.009 26.506 0.015 1964 9 NaN NaN NaN NaN NaN NaN 26.334 -0.113 1964 10 NaN NaN NaN NaN NaN NaN 25.686 -0.411 1964 11 NaN NaN NaN NaN NaN NaN 26.435 0.126 1964 12 NaN NaN NaN NaN NaN NaN 26.313 -0.199 1965 1 NaN NaN NaN NaN NaN NaN 26.444 -0.442 1965 2 NaN NaN NaN NaN NaN NaN 27.405 -0.063 1965 3 NaN NaN NaN NaN NaN NaN 28.122 -0.021 1965 4 NaN NaN NaN NaN NaN NaN 27.728 -0.304 1965 5 NaN NaN NaN NaN NaN NaN 27.452 0.056 1965 6 NaN NaN NaN NaN NaN NaN 26.748 0.116 1965 7 NaN NaN NaN NaN NaN NaN 26.924 0.464 1965 8 NaN NaN NaN NaN NaN NaN 26.411 -0.081