% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 175355 % Primary Name: EL DJEM % Record Type: TAVG % Country: Tunisia % Latitude: 35.33000 +/- 0.00500 % Longitude: 10.70000 +/- 0.00500 % Elevation (m): 112.00 +/- 0.50 % # of Months: 113 % % IDs: ghcnd - TSE00147774 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: ff8e28febfb7c3a9a0d6f520131b0ff4 % Raw Data Hash: 9f95f705934cad2fa60c13118d24952c % Adj Data Hash: 5fbec19ccaf3354ffc842de48c9acd89 % % 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 1899 1 NaN NaN NaN NaN NaN NaN 11.279 0.822 1899 2 NaN NaN NaN NaN NaN NaN 13.183 1.664 1899 3 NaN NaN NaN NaN NaN NaN 13.494 -0.024 1899 4 NaN NaN NaN NaN NaN NaN 16.240 0.491 1899 5 NaN NaN NaN NaN NaN NaN 20.509 0.329 1899 6 NaN NaN NaN NaN NaN NaN 23.960 -0.927 1899 7 NaN NaN NaN NaN NaN NaN 26.801 -1.165 1899 8 NaN NaN NaN NaN NaN NaN 27.675 -0.273 1899 9 NaN NaN NaN NaN NaN NaN 25.306 0.658 1899 10 NaN NaN NaN NaN NaN NaN 21.497 1.947 1899 11 NaN NaN NaN NaN NaN NaN 15.967 0.867 1899 12 NaN NaN NaN NaN NaN NaN 11.597 0.051 1900 1 11.827 -0.279 1 0 NaN NaN 10.442 -0.015 1900 2 15.741 2.573 0 0 15.217 2.050 13.726 2.207 1900 3 14.870 -0.296 0 0 14.347 -0.820 12.627 -0.891 1900 4 17.483 0.085 0 0 16.960 -0.438 14.615 -1.133 1900 5 22.431 0.602 0 0 21.908 0.079 19.921 -0.258 1900 6 27.401 0.865 0 0 26.878 0.342 25.014 0.128 1900 7 29.150 -0.465 0 0 28.627 -0.988 26.517 -1.449 1900 8 28.883 -0.714 0 0 28.360 -1.237 26.956 -0.992 1900 9 27.638 1.341 0 0 27.115 0.817 25.474 0.825 1900 10 25.726 4.526 0 0 25.203 4.003 21.903 2.353 1900 11 16.667 -0.082 0 0 16.143 -0.605 14.526 -0.573 1900 12 12.933 -0.261 0 0 12.410 -0.784 11.349 -0.196 1901 1 11.048 -1.058 0 0 10.525 -1.581 9.637 -0.820 1901 2 12.643 -0.525 0 0 12.120 -1.048 10.111 -1.408 1901 3 16.194 1.027 0 0 15.670 0.504 13.912 0.394 1901 4 19.750 2.352 1 0 NaN NaN 17.130 1.382 1901 5 19.910 -1.919 0 0 19.387 -2.442 18.297 -1.883 1901 6 28.381 1.845 0 0 27.857 1.322 25.707 0.821 1901 7 30.615 1.001 0 0 30.092 0.477 28.597 0.631 1901 8 29.802 0.205 0 0 29.278 -0.319 27.477 -0.470 1901 9 27.980 1.683 0 0 27.457 1.159 25.412 0.764 1901 10 22.297 1.098 0 0 21.774 0.575 18.817 -0.733 1901 11 16.963 0.215 0 0 16.440 -0.309 14.520 -0.579 1901 12 12.565 -0.630 0 0 12.041 -1.153 10.894 -0.651 1902 1 10.935 -1.170 0 0 10.412 -1.694 9.659 -0.798 1902 2 15.500 2.332 0 0 14.977 1.809 12.943 1.425 1902 3 16.050 0.883 0 0 15.527 0.360 13.692 0.175 1902 4 20.133 2.736 0 0 19.610 2.212 17.291 1.543 1902 5 20.403 -1.426 0 0 19.880 -1.949 18.143 -2.037 1902 6 25.450 -1.086 0 0 24.927 -1.609 24.114 -0.772 1902 7 31.087 1.472 1 0 NaN NaN 29.028 1.063 1902 8 30.774 1.177 0 0 30.251 0.654 28.626 0.678 1902 9 27.767 1.469 0 0 27.243 0.946 24.971 0.323 1902 10 21.879 0.680 0 0 21.356 0.157 19.011 -0.539 1902 11 16.850 0.102 0 0 16.327 -0.421 14.811 -0.288 1902 12 12.516 -0.678 0 0 11.993 -1.201 11.011 -0.534 1903 1 12.250 0.144 0 0 11.727 -0.379 11.027 0.571 1903 2 11.981 -1.186 0 0 11.458 -1.710 10.841 -0.678 1903 3 14.323 -0.844 0 0 13.799 -1.367 12.930 -0.587 1903 4 17.232 -0.165 0 0 16.709 -0.689 14.358 -1.391 1903 5 21.000 -0.829 0 0 20.477 -1.352 19.689 -0.491 1903 6 24.800 -1.736 0 0 24.277 -2.259 22.930 -1.956 1903 7 28.581 -1.034 0 0 28.057 -1.557 26.457 -1.508 1903 8 29.283 -0.314 0 0 28.760 -0.837 26.930 -1.018 1903 9 26.167 -0.131 0 0 25.643 -0.654 24.260 -0.388 1903 10 22.429 1.229 1 0 NaN NaN 19.944 0.394 1903 11 15.721 -1.027 0 0 15.198 -1.550 13.813 -1.286 1903 12 12.800 -0.394 0 0 12.277 -0.918 10.682 -0.863 1904 1 10.504 -1.602 1 0 NaN NaN 9.622 -0.835 1904 2 13.948 0.780 0 0 13.425 0.257 12.299 0.780 1904 3 15.468 0.301 0 0 14.945 -0.222 13.693 0.175 1904 4 19.133 1.736 0 0 18.610 1.212 16.364 0.615 1904 5 23.452 1.623 0 0 22.928 1.099 21.233 1.053 1904 6 27.883 1.348 0 0 27.360 0.824 26.067 1.181 1904 7 30.350 0.735 0 0 29.827 0.212 28.457 0.492 1904 8 29.306 -0.291 0 4 29.791 0.194 28.380 0.433 1904 9 25.638 -0.659 0 0 26.122 -0.175 24.041 -0.607 1904 10 21.048 -0.151 0 0 21.533 0.334 18.454 -1.096 1904 11 14.933 -1.815 0 0 15.418 -1.330 13.443 -1.656 1904 12 11.917 -1.278 0 0 12.401 -0.793 10.979 -0.566 1905 1 9.093 -3.013 0 0 9.577 -2.529 8.413 -2.043 1905 2 10.106 -3.062 1 0 NaN NaN 9.242 -2.277 1905 3 16.172 1.006 0 0 16.657 1.490 14.064 0.546 1905 4 19.804 2.407 0 0 20.289 2.891 17.103 1.355 1905 5 21.017 -0.812 0 0 21.501 -0.328 19.733 -0.447 1905 6 NaN NaN NaN NaN NaN NaN 24.222 -0.665 1905 7 30.226 0.611 0 0 30.710 1.096 28.904 0.938 1905 8 29.496 -0.101 1 0 NaN NaN 27.868 -0.080 1905 9 NaN NaN NaN NaN NaN NaN 25.040 0.392 1905 10 NaN NaN NaN NaN NaN NaN 17.802 -1.748 1905 11 NaN NaN NaN NaN NaN NaN 16.046 0.947 1905 12 NaN NaN NaN NaN NaN NaN 11.279 -0.266 1906 1 10.883 -1.223 0 0 11.368 -0.738 10.626 0.169 1906 2 10.360 -2.808 0 0 10.844 -2.323 9.434 -2.084 1906 3 15.210 0.043 0 0 15.694 0.528 13.353 -0.164 1906 4 16.567 -0.831 0 0 17.051 -0.346 15.254 -0.495 1906 5 19.850 -1.979 0 0 20.334 -1.494 19.122 -1.058 1906 6 24.828 -1.708 0 0 25.312 -1.224 24.000 -0.887 1906 7 28.900 -0.715 0 0 29.384 -0.230 27.465 -0.500 1906 8 28.962 -0.636 0 0 29.446 -0.151 27.444 -0.504 1906 9 26.379 0.082 0 0 26.864 0.566 23.993 -0.655 1906 10 21.200 0.001 0 0 21.684 0.485 18.515 -1.036 1906 11 17.217 0.468 0 0 17.701 0.953 15.518 0.419 1906 12 10.300 -2.894 0 0 10.784 -2.410 9.680 -1.865 1907 1 9.355 -2.751 0 0 9.839 -2.267 8.485 -1.972 1907 2 9.714 -3.454 0 0 10.199 -2.969 8.739 -2.780 1907 3 12.097 -3.070 0 0 12.581 -2.585 10.769 -2.749 1907 4 16.655 -0.742 0 0 17.140 -0.258 14.502 -1.246 1907 5 19.952 -1.877 0 0 20.436 -1.393 19.664 -0.515 1907 6 24.379 -2.156 0 0 24.864 -1.672 24.173 -0.714 1907 7 27.582 -2.033 0 0 28.066 -1.548 27.632 -0.334 1907 8 28.717 -0.880 0 0 29.201 -0.396 28.061 0.113 1907 9 25.808 -0.490 0 0 26.292 -0.005 23.969 -0.679 1907 10 21.816 0.617 0 0 22.301 1.101 19.442 -0.108 1907 11 17.288 0.540 0 0 17.773 1.024 15.765 0.665 1907 12 12.823 -0.372 0 0 13.307 0.113 11.789 0.244 1908 1 11.677 -0.429 0 0 12.162 0.056 10.601 0.145 1908 2 10.962 -2.206 0 0 11.446 -1.722 10.138 -1.381 1908 3 13.117 -2.050 0 0 13.601 -1.565 12.409 -1.109 1908 4 16.724 -0.673 0 0 17.209 -0.189 14.244 -1.505 1908 5 22.419 0.590 0 0 22.904 1.075 21.802 1.622 1908 6 24.550 -1.986 0 0 25.034 -1.501 24.575 -0.312 1908 7 28.016 -1.599 0 0 28.501 -1.114 27.743 -0.222 1908 8 28.625 -0.972 0 0 29.109 -0.488 27.957 0.010 1908 9 26.463 0.166 0 0 26.947 0.650 24.603 -0.045 1908 10 21.917 0.717 0 0 22.401 1.202 20.102 0.552 1908 11 16.879 0.131 0 0 17.364 0.616 15.818 0.719 1908 12 11.774 -1.420 0 0 12.259 -0.936 10.787 -0.758 1909 1 9.310 -2.796 0 0 9.795 -2.311 8.735 -1.722 1909 2 10.018 -3.150 0 0 10.502 -2.666 9.437 -2.082 1909 3 14.661 -0.505 0 0 15.146 -0.021 13.617 0.099 1909 4 16.350 -1.048 0 0 16.834 -0.563 15.542 -0.206 1909 5 19.463 -2.366 0 0 19.947 -1.881 19.074 -1.106 1909 6 23.833 -2.702 0 0 24.318 -2.218 23.712 -1.175 1909 7 26.100 -3.515 0 0 26.584 -3.030 25.733 -2.232 1909 8 28.110 -1.487 1 0 NaN NaN 27.119 -0.829 1909 9 NaN NaN NaN NaN NaN NaN 24.257 -0.392 1909 10 22.450 1.251 0 0 22.934 1.735 19.895 0.344 1909 11 18.214 1.466 1 0 NaN NaN 14.925 -0.174 1909 12 NaN NaN NaN NaN NaN NaN 11.980 0.435 1910 1 NaN NaN NaN NaN NaN NaN 10.012 -0.444 1910 2 NaN NaN NaN NaN NaN NaN 10.334 -1.184 1910 3 NaN NaN NaN NaN NaN NaN 12.604 -0.913 1910 4 NaN NaN NaN NaN NaN NaN 15.342 -0.407 1910 5 NaN NaN NaN NaN NaN NaN 18.212 -1.967 1910 6 NaN NaN NaN NaN NaN NaN 23.526 -1.360 1910 7 NaN NaN NaN NaN NaN NaN 27.023 -0.943 1910 8 NaN NaN NaN NaN NaN NaN 27.294 -0.654 1910 9 NaN NaN NaN NaN NaN NaN 22.133 -2.515 1910 10 NaN NaN NaN NaN NaN NaN 21.640 2.089 1910 11 NaN NaN NaN NaN NaN NaN 15.372 0.272