% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 13748 % Primary Name: PIERREFEN/NAVY % Record Type: TAVG % Country: France % Latitude: 43.25000 +/- 0.00050 % Longitude: 6.13300 +/- 0.00050 % Elevation (m): 81.00 +/- 0.05 % # of Months: 56 % % IDs: gsod - 076630-99999 % usaf - 76630 % % Sources: Global Summary of the Day % % Site Hash: 3edaaf0554111e0b6a9972f011069092 % Raw Data Hash: 851be659e19cf48d455b672ccf64bd81 % Adj Data Hash: 65a16d5739c5de093103243d966634f3 % % 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 1983 1 NaN NaN NaN NaN NaN NaN 11.732 1.428 1983 2 NaN NaN NaN NaN NaN NaN 8.641 -1.539 1983 3 NaN NaN NaN NaN NaN NaN 11.201 0.104 1983 4 NaN NaN NaN NaN NaN NaN 12.576 -0.127 1983 5 NaN NaN NaN NaN NaN NaN 15.691 -0.221 1983 6 NaN NaN NaN NaN NaN NaN 19.607 0.477 1983 7 NaN NaN NaN NaN NaN NaN 24.511 2.667 1983 8 NaN NaN NaN NaN NaN NaN 22.546 0.298 1983 9 NaN NaN NaN NaN NaN NaN 21.069 0.620 1983 10 NaN NaN NaN NaN NaN NaN 17.516 0.549 1983 11 NaN NaN NaN NaN NaN NaN 14.780 1.163 1983 12 NaN NaN NaN NaN NaN NaN 11.917 0.482 1984 1 4.765 -2.306 1 0 NaN NaN 10.724 0.420 1984 2 2.393 -4.554 1 0 NaN NaN 9.129 -1.050 1984 3 6.436 -1.428 1 0 NaN NaN 10.255 -0.842 1984 4 10.111 0.641 0 0 10.111 0.641 12.219 -0.484 1984 5 11.033 -1.645 1 0 NaN NaN 13.565 -2.346 1984 6 19.973 4.075 0 0 19.973 4.075 18.203 -0.927 1984 7 24.303 5.692 0 0 24.303 5.692 22.342 0.498 1984 8 21.309 2.294 1 0 NaN NaN 21.450 -0.798 1984 9 15.647 -1.569 0 0 15.647 -1.569 18.937 -1.512 1984 10 13.381 -0.353 1 0 NaN NaN 16.791 -0.176 1984 11 10.960 0.576 0 0 10.960 0.576 15.267 1.650 1984 12 7.990 -0.211 1 0 NaN NaN 11.784 0.350 1985 1 3.173 -3.899 1 0 NaN NaN 7.400 -2.904 1985 2 6.957 0.010 0 0 6.957 0.010 10.890 0.711 1985 3 6.193 -1.671 0 0 6.193 -1.671 10.216 -0.881 1985 4 11.132 1.662 0 0 11.132 1.662 13.344 0.640 1985 5 13.069 0.391 0 0 13.069 0.391 14.962 -0.949 1985 6 18.513 2.616 0 0 18.513 2.616 19.083 -0.047 1985 7 23.916 5.305 0 0 23.916 5.305 23.443 1.600 1985 8 21.745 2.730 0 0 21.745 2.730 22.263 0.015 1985 9 21.120 3.904 0 0 21.120 3.904 22.058 1.609 1985 10 14.724 0.990 0 0 14.724 0.990 18.628 1.661 1985 11 6.984 -3.401 0 0 6.984 -3.401 12.070 -1.547 1985 12 9.570 1.368 0 0 9.570 1.368 12.878 1.444 1986 1 4.567 -2.504 0 0 4.567 -2.504 10.600 0.296 1986 2 3.300 -3.646 0 0 3.300 -3.646 8.248 -1.931 1986 3 10.094 2.230 1 0 NaN NaN 11.515 0.418 1986 4 9.137 -0.333 1 0 NaN NaN 11.888 -0.815 1986 5 15.517 2.839 1 0 NaN NaN 17.957 2.046 1986 6 NaN NaN NaN NaN NaN NaN 19.102 -0.028 1986 7 21.597 2.986 0 0 21.597 2.986 22.553 0.709 1986 8 21.716 2.701 0 0 21.716 2.701 23.150 0.902 1986 9 17.746 0.530 1 0 NaN NaN 21.061 0.612 1986 10 8.647 -5.087 1 0 NaN NaN 18.737 1.770 1986 11 5.237 -5.147 1 0 NaN NaN 14.807 1.190 1986 12 1.437 -6.765 1 0 NaN NaN 11.820 0.385 1987 1 2.722 -4.349 0 0 2.722 -4.349 9.435 -0.869 1987 2 4.019 -2.927 1 0 NaN NaN 10.110 -0.070 1987 3 2.911 -4.953 1 0 NaN NaN 9.778 -1.319 1987 4 NaN NaN NaN NaN NaN NaN 13.272 0.569 1987 5 NaN NaN NaN NaN NaN NaN 14.935 -0.977 1987 6 NaN NaN NaN NaN NaN NaN 18.759 -0.372 1987 7 19.325 0.715 1 0 NaN NaN 23.125 1.281 1987 8 21.148 2.133 1 0 NaN NaN 23.505 1.257 1987 9 19.167 1.951 0 0 19.167 1.951 22.914 2.465 1987 10 12.409 -1.325 0 0 12.409 -1.325 18.630 1.664 1987 11 7.598 -2.786 0 0 7.598 -2.786 13.765 0.148 1987 12 6.010 -2.191 1 0 NaN NaN 13.276 1.842 1988 1 5.304 -1.767 0 0 5.304 -1.767 12.677 2.373 1988 2 4.063 -2.884 0 0 4.063 -2.884 10.558 0.378 1988 3 6.745 -1.119 0 0 6.745 -1.119 11.273 0.176 1988 4 8.743 -0.727 1 0 NaN NaN 12.897 0.194 1988 5 13.113 0.435 0 0 13.113 0.435 16.551 0.640 1988 6 15.881 -0.017 0 0 15.881 -0.017 18.965 -0.166 1988 7 21.619 3.008 1 0 NaN NaN 23.045 1.202 1988 8 22.357 3.342 1 0 NaN NaN 23.539 1.292 1988 9 17.825 0.609 0 0 17.825 0.609 20.435 -0.014 1988 10 14.130 0.396 0 0 14.130 0.396 18.716 1.750 1988 11 11.414 1.030 1 0 NaN NaN 13.254 -0.363 1988 12 NaN NaN NaN NaN NaN NaN 11.782 0.347 1989 1 NaN NaN NaN NaN NaN NaN 11.458 1.154 1989 2 NaN NaN NaN NaN NaN NaN 11.277 1.098 1989 3 17.449 9.584 1 0 NaN NaN 13.310 2.213 1989 4 NaN NaN NaN NaN NaN NaN 12.511 -0.192 1989 5 NaN NaN NaN NaN NaN NaN 17.298 1.387 1989 6 NaN NaN NaN NaN NaN NaN 19.575 0.444 1989 7 NaN NaN NaN NaN NaN NaN 23.696 1.852 1989 8 NaN NaN NaN NaN NaN NaN 23.802 1.555 1989 9 NaN NaN NaN NaN NaN NaN 20.661 0.212 1989 10 NaN NaN NaN NaN NaN NaN 17.345 0.379 1989 11 NaN NaN NaN NaN NaN NaN 13.962 0.345 1989 12 NaN NaN NaN NaN NaN NaN 13.388 1.954 1990 1 NaN NaN NaN NaN NaN NaN 11.408 1.104 1990 2 NaN NaN NaN NaN NaN NaN 13.687 3.507 1990 3 NaN NaN NaN NaN NaN NaN 12.740 1.643