% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 13930 % Primary Name: ST. BRIEUC ARMOR % Record Type: TAVG % Country: France % Latitude: 48.51700 +/- 0.00050 % Longitude: -2.80000 +/- 0.00050 % Elevation (m): 128.00 +/- 0.05 % # of Months: 34 % % IDs: gsod - 071233-99999 % icao - LFRT % usaf - 71233 % % Sources: Global Summary of the Day % % Site Hash: f122801fc663d67df36fdfb1cecd4ae8 % Raw Data Hash: bc1c04cbf6de731a5a94e116b91c21e8 % Adj Data Hash: 5593b5b34bd759322b89c7ed5dfcfdf0 % % 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 1987 1 NaN NaN NaN NaN NaN NaN 2.402 -4.227 1987 2 NaN NaN NaN NaN NaN NaN 5.643 -0.596 1987 3 NaN NaN NaN NaN NaN NaN 6.430 -0.943 1987 4 NaN NaN NaN NaN NaN NaN 10.197 1.551 1987 5 NaN NaN NaN NaN NaN NaN 10.429 -0.782 1987 6 NaN NaN NaN NaN NaN NaN 12.677 -1.043 1987 7 NaN NaN NaN NaN NaN NaN 15.785 0.074 1987 8 NaN NaN NaN NaN NaN NaN 16.619 0.308 1987 9 NaN NaN NaN NaN NaN NaN 16.415 1.098 1987 10 NaN NaN NaN NaN NaN NaN 12.972 -0.018 1987 11 NaN NaN NaN NaN NaN NaN 9.824 -0.204 1987 12 NaN NaN NaN NaN NaN NaN 8.744 0.534 1988 1 7.039 0.617 0 0 7.039 0.617 8.744 2.115 1988 2 6.172 0.140 0 0 6.172 0.140 6.810 0.570 1988 3 8.078 0.912 0 0 8.078 0.912 8.116 0.743 1988 4 9.670 1.231 0 0 9.670 1.231 9.170 0.524 1988 5 12.693 1.689 0 0 12.693 1.689 11.933 0.722 1988 6 14.628 1.115 0 0 14.628 1.115 14.135 0.415 1988 7 15.900 0.395 0 0 15.900 0.395 14.890 -0.822 1988 8 16.733 0.629 0 0 16.733 0.629 16.169 -0.143 1988 9 15.122 0.012 0 0 15.122 0.012 15.266 -0.052 1988 10 12.744 -0.039 0 0 12.744 -0.039 13.703 0.713 1988 11 7.744 -2.077 0 0 7.744 -2.077 9.537 -0.491 1988 12 8.461 0.459 0 0 8.461 0.459 10.597 2.387 1989 1 6.176 -0.245 0 0 6.176 -0.245 7.734 1.105 1989 2 7.407 1.375 0 0 7.407 1.375 7.762 1.522 1989 3 9.493 2.327 0 0 9.493 2.327 9.628 2.255 1989 4 7.765 -0.674 0 0 7.765 -0.674 7.716 -0.930 1989 5 14.154 3.150 0 0 14.154 3.150 13.754 2.543 1989 6 11.147 -2.365 1 0 NaN NaN 14.954 1.234 1989 7 19.034 3.529 0 0 19.034 3.529 17.927 2.216 1989 8 18.149 2.044 0 0 18.149 2.044 17.606 1.294 1989 9 16.689 1.578 0 0 16.689 1.578 16.849 1.531 1989 10 14.172 1.389 0 0 14.172 1.389 15.104 2.114 1989 11 8.076 -1.745 0 0 8.076 -1.745 10.204 0.176 1989 12 6.654 -1.348 0 0 6.654 -1.348 8.978 0.768 1990 1 8.172 1.750 0 0 8.172 1.750 8.969 2.340 1990 2 10.224 4.192 0 0 10.224 4.192 9.856 3.616 1990 3 9.808 2.643 0 0 9.808 2.643 9.653 2.280 1990 4 9.000 0.561 0 0 9.000 0.561 8.883 0.236 1990 5 14.468 3.464 0 0 14.468 3.464 13.647 2.436 1990 6 14.493 0.980 0 0 14.493 0.980 13.396 -0.324 1990 7 18.079 2.574 0 0 18.079 2.574 17.077 1.365 1990 8 18.882 2.777 0 0 18.882 2.777 18.298 1.986 1990 9 15.467 0.356 0 0 15.467 0.356 15.870 0.553 1990 10 14.669 1.886 1 0 NaN NaN 14.515 1.525 1990 11 NaN NaN NaN NaN NaN NaN 10.038 0.010 1990 12 NaN NaN NaN NaN NaN NaN 7.727 -0.483 1991 1 NaN NaN NaN NaN NaN NaN 6.349 -0.280 1991 2 NaN NaN NaN NaN NaN NaN 3.609 -2.630 1991 3 NaN NaN NaN NaN NaN NaN 9.101 1.728 1991 4 NaN NaN NaN NaN NaN NaN 8.274 -0.373 1991 5 NaN NaN NaN NaN NaN NaN 10.300 -0.911 1991 6 NaN NaN NaN NaN NaN NaN 12.360 -1.360 1991 7 NaN NaN NaN NaN NaN NaN 15.928 0.216 1991 8 NaN NaN NaN NaN NaN NaN 17.360 1.049 1991 9 NaN NaN NaN NaN NaN NaN 16.882 1.564 1991 10 NaN NaN NaN NaN NaN NaN 12.708 -0.283