% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174196 % Primary Name: CAIRO ABBASSIA % Record Type: TAVG % Country: Egypt % Latitude: 30.08000 +/- 0.00500 % Longitude: 31.29000 +/- 0.00500 % Elevation (m): 30.00 +/- 0.50 % # of Months: 85 % % IDs: ghcnd - EGE00147727 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: c97a5d202995f3975bf07f19f6f3350f % Raw Data Hash: 5e2c9d5efe106ad850b7198e48a7714f % Adj Data Hash: 0439fb2e5e1101854c0dd416bf71fae7 % % 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 12.054 -1.094 1899 2 NaN NaN NaN NaN NaN NaN 14.548 -0.252 1899 3 NaN NaN NaN NaN NaN NaN 17.147 -0.397 1899 4 NaN NaN NaN NaN NaN NaN 20.803 -0.470 1899 5 NaN NaN NaN NaN NaN NaN 24.817 -0.206 1899 6 NaN NaN NaN NaN NaN NaN 27.159 -0.568 1899 7 NaN NaN NaN NaN NaN NaN 27.656 -0.767 1899 8 NaN NaN NaN NaN NaN NaN 27.653 -0.540 1899 9 NaN NaN NaN NaN NaN NaN 26.641 0.447 1899 10 NaN NaN NaN NaN NaN NaN 22.901 -0.541 1899 11 NaN NaN NaN NaN NaN NaN 17.950 -1.132 1899 12 NaN NaN NaN NaN NaN NaN 13.581 -1.022 1900 1 12.582 -0.488 0 0 12.665 -0.405 12.841 -0.307 1900 2 16.316 1.593 0 0 16.399 1.677 15.992 1.193 1900 3 17.915 0.447 0 0 17.998 0.530 18.156 0.612 1900 4 21.218 0.022 0 0 21.301 0.105 21.343 0.070 1900 5 25.760 0.813 0 0 25.843 0.896 25.710 0.686 1900 6 27.292 -0.359 0 0 27.375 -0.276 27.165 -0.562 1900 7 28.644 0.297 0 0 28.727 0.380 28.310 -0.113 1900 8 NaN NaN NaN NaN NaN NaN 28.352 0.159 1900 9 24.287 -1.831 0 0 24.370 -1.748 24.508 -1.686 1900 10 22.874 -0.491 0 0 22.957 -0.408 23.561 0.119 1900 11 NaN NaN NaN NaN NaN NaN 18.911 -0.171 1900 12 14.645 0.119 0 0 14.728 0.203 14.628 0.025 1901 1 11.547 -1.524 0 0 11.630 -1.441 12.176 -0.972 1901 2 15.336 0.613 0 0 15.419 0.696 16.593 1.794 1901 3 18.702 1.234 0 0 18.785 1.317 19.314 1.770 1901 4 20.847 -0.350 0 0 20.930 -0.267 21.583 0.311 1901 5 23.592 -1.355 0 0 23.675 -1.272 24.217 -0.807 1901 6 27.700 0.050 0 0 27.783 0.133 27.850 0.123 1901 7 28.371 0.025 0 0 28.454 0.108 28.400 -0.023 1901 8 27.616 -0.500 0 0 27.699 -0.417 28.206 0.014 1901 9 25.585 -0.533 0 0 25.668 -0.450 25.805 -0.390 1901 10 23.219 -0.146 0 0 23.302 -0.063 23.706 0.264 1901 11 18.465 -0.541 0 0 18.548 -0.458 18.868 -0.215 1901 12 14.932 0.407 0 0 15.015 0.490 14.943 0.341 1902 1 12.206 -0.864 0 0 12.290 -0.781 12.448 -0.699 1902 2 15.793 1.070 0 0 15.876 1.153 16.691 1.892 1902 3 17.152 -0.316 0 0 17.235 -0.233 17.456 -0.089 1902 4 21.068 -0.128 0 0 21.151 -0.045 21.366 0.093 1902 5 24.848 -0.099 0 0 24.931 -0.016 25.144 0.120 1902 6 26.813 -0.837 0 0 26.896 -0.754 26.599 -1.128 1902 7 28.103 -0.243 0 0 28.186 -0.160 27.542 -0.881 1902 8 27.997 -0.119 0 0 28.080 -0.036 27.910 -0.283 1902 9 26.073 -0.045 0 0 26.156 0.038 26.184 -0.011 1902 10 24.032 0.667 0 0 24.115 0.750 24.078 0.636 1902 11 18.765 -0.241 0 0 18.848 -0.158 18.506 -0.576 1902 12 13.561 -0.964 0 0 13.644 -0.881 13.160 -1.442 1903 1 11.847 -1.224 0 0 11.930 -1.141 11.936 -1.211 1903 2 12.459 -2.264 0 0 12.542 -2.181 13.092 -1.707 1903 3 15.840 -1.627 0 0 15.923 -1.544 16.004 -1.540 1903 4 21.570 0.374 0 0 21.653 0.457 21.375 0.102 1903 5 24.726 -0.221 0 0 24.809 -0.138 25.095 0.071 1903 6 26.687 -0.964 0 0 26.770 -0.881 26.605 -1.122 1903 7 27.171 -1.175 0 0 27.254 -1.092 26.707 -1.716 1903 8 NaN NaN NaN NaN NaN NaN 27.354 -0.839 1903 9 24.387 -1.731 0 0 24.470 -1.648 24.285 -1.910 1903 10 21.547 -1.819 0 0 21.630 -1.736 21.708 -1.734 1903 11 16.920 -2.086 0 0 17.003 -2.003 17.087 -1.996 1903 12 13.915 -0.611 0 0 13.998 -0.528 14.009 -0.594 1904 1 13.137 0.066 0 0 13.220 0.149 12.470 -0.678 1904 2 15.036 0.314 0 0 15.119 0.397 15.136 0.337 1904 3 NaN NaN NaN NaN NaN NaN 16.583 -0.961 1904 4 19.888 -1.308 0 0 19.971 -1.225 19.848 -1.425 1904 5 NaN NaN NaN NaN NaN NaN 23.284 -1.740 1904 6 26.060 -1.590 1 0 NaN NaN 26.080 -1.647 1904 7 NaN NaN NaN NaN NaN NaN 27.557 -0.866 1904 8 NaN NaN NaN NaN NaN NaN 27.481 -0.711 1904 9 NaN NaN NaN NaN NaN NaN 25.265 -0.929 1904 10 NaN NaN NaN NaN NaN NaN 24.116 0.674 1904 11 NaN NaN NaN NaN NaN NaN 17.580 -1.503 1904 12 NaN NaN NaN NaN NaN NaN 12.545 -2.057 1905 1 NaN NaN NaN NaN NaN NaN 11.219 -1.928 1905 2 NaN NaN NaN NaN NaN NaN 12.286 -2.513 1905 3 NaN NaN NaN NaN NaN NaN 15.774 -1.770 1905 4 NaN NaN NaN NaN NaN NaN 21.082 -0.191 1905 5 NaN NaN NaN NaN NaN NaN 25.069 0.046 1905 6 NaN NaN NaN NaN NaN NaN 27.044 -0.682 1905 7 NaN NaN NaN NaN NaN NaN 28.140 -0.283 1905 8 NaN NaN NaN NaN NaN NaN 28.127 -0.065 1905 9 NaN NaN NaN NaN NaN NaN 26.017 -0.177 1905 10 NaN NaN NaN NaN NaN NaN 24.429 0.987 1905 11 NaN NaN NaN NaN NaN NaN 20.144 1.061 1905 12 NaN NaN NaN NaN NaN NaN 13.147 -1.456 1906 1 12.581 -0.490 0 2 12.467 -0.604 12.641 -0.506 1906 2 14.537 -0.185 0 0 14.424 -0.299 14.632 -0.167 1906 3 16.423 -1.045 0 0 16.309 -1.159 16.764 -0.781 1906 4 20.770 -0.426 0 0 20.656 -0.540 21.055 -0.218 1906 5 23.748 -1.199 0 0 23.634 -1.313 24.073 -0.951 1906 6 27.777 0.126 0 0 27.663 0.012 27.667 -0.060 1906 7 28.552 0.205 0 0 28.438 0.091 28.020 -0.403 1906 8 27.811 -0.305 0 0 27.697 -0.419 27.714 -0.479 1906 9 25.350 -0.768 0 0 25.236 -0.882 25.069 -1.126 1906 10 22.915 -0.451 0 0 22.801 -0.565 23.225 -0.217 1906 11 19.047 0.041 0 0 18.933 -0.073 19.119 0.036 1906 12 15.348 0.823 0 0 15.234 0.709 15.040 0.438 1907 1 11.731 -1.340 0 0 11.617 -1.454 12.031 -1.116 1907 2 13.795 -0.928 0 0 13.681 -1.042 14.097 -0.702 1907 3 14.397 -3.071 0 0 14.283 -3.185 14.579 -2.965 1907 4 20.483 -0.713 0 0 20.369 -0.827 20.460 -0.813 1907 5 23.434 -1.513 0 0 23.320 -1.627 23.835 -1.188 1907 6 26.502 -1.149 0 0 26.388 -1.263 26.531 -1.196 1907 7 28.010 -0.337 0 0 27.896 -0.451 27.703 -0.720 1907 8 27.781 -0.336 0 0 27.667 -0.450 27.921 -0.272 1907 9 24.783 -1.335 0 0 24.669 -1.449 24.603 -1.591 1907 10 22.344 -1.022 0 0 22.230 -1.136 22.143 -1.299 1907 11 17.523 -1.483 0 0 17.409 -1.597 17.358 -1.725 1907 12 14.060 -0.466 0 0 13.946 -0.580 13.612 -0.991 1908 1 12.727 -0.344 1 0 NaN NaN 12.811 -0.336 1908 2 13.493 -1.230 0 0 13.379 -1.344 13.771 -1.028 1908 3 16.476 -0.992 0 0 16.362 -1.106 16.647 -0.897 1908 4 19.848 -1.348 0 0 19.734 -1.462 20.352 -0.921 1908 5 24.707 -0.240 0 0 24.593 -0.354 24.835 -0.188 1908 6 26.688 -0.962 0 0 26.574 -1.076 26.733 -0.994 1908 7 27.627 -0.719 0 0 27.513 -0.833 26.928 -1.495 1908 8 27.579 -0.537 0 0 27.465 -0.651 27.239 -0.954 1908 9 24.750 -1.368 0 0 24.636 -1.482 24.390 -1.804 1908 10 21.850 -1.515 0 0 21.736 -1.629 21.712 -1.730 1908 11 17.070 -1.936 0 0 16.956 -2.050 16.850 -2.232 1908 12 12.515 -2.011 0 0 12.401 -2.125 11.981 -2.621 1909 1 NaN NaN NaN NaN NaN NaN 12.071 -1.077 1909 2 NaN NaN NaN NaN NaN NaN 14.044 -0.755 1909 3 NaN NaN NaN NaN NaN NaN 17.917 0.372 1909 4 NaN NaN NaN NaN NaN NaN 18.962 -2.311 1909 5 NaN NaN NaN NaN NaN NaN 26.441 1.418 1909 6 NaN NaN NaN NaN NaN NaN 27.228 -0.499 1909 7 NaN NaN NaN NaN NaN NaN 27.896 -0.527 1909 8 NaN NaN NaN NaN NaN NaN 28.330 0.137 1909 9 NaN NaN NaN NaN NaN NaN 25.889 -0.306 1909 10 NaN NaN NaN NaN NaN NaN 22.987 -0.455 1909 11 NaN NaN NaN NaN NaN NaN 19.387 0.305 1909 12 NaN NaN NaN NaN NaN NaN 15.308 0.706