% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 13319 % Primary Name: ISMALIA % Record Type: TAVG % Country: Egypt % Latitude: 30.58300 +/- 0.00050 % Longitude: 32.25000 +/- 0.00050 % Elevation (m): 3.00 +/- 0.05 % # of Months: 67 % % IDs: gsod - 623662-99999 % icao - HEIS % usaf - 623662 % % Sources: Global Summary of the Day % % Site Hash: ff0a86c4ad0e68d69b0cff30186094d5 % Raw Data Hash: 6b39a267e4ee5abc4d53e119f2e07b1c % Adj Data Hash: a3c4982d5bd589f0d66b45b7ee9a1b6a % % 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 2004 4 NaN NaN NaN NaN NaN NaN 19.372 0.361 2004 5 NaN NaN NaN NaN NaN NaN 22.166 0.210 2004 6 NaN NaN NaN NaN NaN NaN 24.950 -0.096 2004 7 NaN NaN NaN NaN NaN NaN 27.434 0.741 2004 8 NaN NaN NaN NaN NaN NaN 27.774 0.535 2004 9 NaN NaN NaN NaN NaN NaN 26.279 0.202 2004 10 NaN NaN NaN NaN NaN NaN 24.814 0.863 2004 11 NaN NaN NaN NaN NaN NaN 21.315 0.822 2004 12 NaN NaN NaN NaN NaN NaN 15.998 -0.173 2005 1 NaN NaN NaN NaN NaN NaN 15.383 0.903 2005 2 NaN NaN NaN NaN NaN NaN 15.460 0.144 2005 3 NaN NaN NaN NaN NaN NaN 17.577 0.749 2005 4 22.143 3.355 1 0 NaN NaN 19.587 0.576 2005 5 23.197 1.464 0 0 23.197 1.464 22.278 0.322 2005 6 26.222 1.399 0 0 26.222 1.399 25.220 0.174 2005 7 28.423 1.952 0 0 28.423 1.952 27.433 0.740 2005 8 28.717 1.700 0 0 28.717 1.700 28.411 1.172 2005 9 26.877 1.022 0 0 26.877 1.022 27.183 1.105 2005 10 22.566 -1.162 0 0 22.566 -1.162 23.866 -0.085 2005 11 17.702 -2.569 0 0 17.702 -2.569 20.117 -0.377 2005 12 15.249 -0.699 0 0 15.249 -0.699 17.299 1.129 2006 1 13.039 -1.218 0 0 13.039 -1.218 15.048 0.569 2006 2 14.810 -0.284 0 0 14.810 -0.284 16.482 1.166 2006 3 17.376 0.770 0 0 17.376 0.770 17.658 0.830 2006 4 20.654 1.865 0 0 20.654 1.865 19.654 0.643 2006 5 23.288 1.555 0 0 23.288 1.555 22.010 0.054 2006 6 26.763 1.939 0 0 26.763 1.939 25.798 0.752 2006 7 28.009 1.538 0 0 28.009 1.538 27.111 0.418 2006 8 28.884 1.867 0 0 28.884 1.867 28.464 1.225 2006 9 27.030 1.174 0 0 27.030 1.174 27.093 1.016 2006 10 23.796 0.067 0 0 23.796 0.067 24.390 0.439 2006 11 17.594 -2.677 0 0 17.594 -2.677 19.619 -0.875 2006 12 13.932 -2.016 0 0 13.932 -2.016 15.816 -0.354 2007 1 12.814 -1.443 0 0 12.814 -1.443 14.770 0.290 2007 2 14.970 -0.124 0 0 14.970 -0.124 16.019 0.702 2007 3 17.190 0.584 0 0 17.190 0.584 17.278 0.450 2007 4 19.972 1.184 0 0 19.972 1.184 19.138 0.127 2007 5 25.054 3.321 1 0 NaN NaN 23.257 1.301 2007 6 27.422 2.599 0 0 27.422 2.599 26.220 1.174 2007 7 29.172 2.701 0 0 29.172 2.701 28.132 1.438 2007 8 28.707 1.691 0 0 28.707 1.691 28.505 1.266 2007 9 26.402 0.547 0 0 26.402 0.547 26.696 0.619 2007 10 24.394 0.666 0 0 24.394 0.666 25.009 1.058 2007 11 19.670 -0.601 0 0 19.670 -0.601 21.359 0.866 2007 12 14.900 -1.048 0 0 14.900 -1.048 16.385 0.215 2008 1 11.844 -2.413 0 0 11.844 -2.413 13.862 -0.618 2008 2 13.303 -1.791 0 0 13.303 -1.791 15.014 -0.302 2008 3 19.875 3.268 0 0 19.875 3.268 19.562 2.733 2008 4 21.207 2.419 0 0 21.207 2.419 20.524 1.513 2008 5 24.043 2.310 1 0 NaN NaN 22.657 0.701 2008 6 28.069 3.245 0 0 28.069 3.245 26.732 1.686 2008 7 28.772 2.302 0 0 28.772 2.302 27.710 1.017 2008 8 29.301 2.284 0 0 29.301 2.284 28.660 1.421 2008 9 27.841 1.985 0 0 27.841 1.985 27.478 1.400 2008 10 22.946 -0.782 0 0 22.946 -0.782 23.752 -0.199 2008 11 19.606 -0.665 0 0 19.606 -0.665 21.450 0.957 2008 12 16.149 0.201 0 0 16.149 0.201 17.435 1.265 2009 1 14.362 0.105 0 0 14.362 0.105 15.834 1.355 2009 2 15.595 0.501 0 0 15.595 0.501 16.353 1.036 2009 3 16.615 0.009 0 0 16.615 0.009 16.761 -0.068 2009 4 20.289 1.501 0 0 20.289 1.501 19.516 0.505 2009 5 23.323 1.589 0 0 23.323 1.589 22.253 0.297 2009 6 27.859 3.036 0 0 27.859 3.036 26.751 1.705 2009 7 29.280 2.809 0 0 29.280 2.809 27.940 1.247 2009 8 28.423 1.406 0 0 28.423 1.406 27.984 0.745 2009 9 26.748 0.893 0 0 26.748 0.893 26.705 0.627 2009 10 24.946 1.218 0 0 24.946 1.218 25.411 1.460 2009 11 18.694 -1.577 0 0 18.694 -1.577 20.589 0.095 2009 12 16.077 0.129 0 0 16.077 0.129 17.349 1.178 2010 1 15.718 1.461 0 0 15.718 1.461 16.801 2.321 2010 2 17.264 2.170 0 0 17.264 2.170 18.041 2.725 2010 3 20.471 3.865 1 0 NaN NaN 19.084 2.255 2010 4 22.908 4.120 1 0 NaN NaN 20.495 1.484 2010 5 24.647 2.914 0 0 24.647 2.914 23.215 1.259 2010 6 27.952 3.128 0 0 27.952 3.128 26.469 1.423 2010 7 28.631 2.160 0 0 28.631 2.160 27.589 0.896 2010 8 30.195 3.179 1 0 NaN NaN 29.529 2.290 2010 9 27.901 2.045 1 0 NaN NaN 27.748 1.670 2010 10 NaN NaN NaN NaN NaN NaN 26.041 2.090 2010 11 NaN NaN NaN NaN NaN NaN 22.830 2.337 2010 12 NaN NaN NaN NaN NaN NaN 17.739 1.568 2011 1 NaN NaN NaN NaN NaN NaN 15.941 1.462 2011 2 NaN NaN NaN NaN NaN NaN 16.974 1.658 2011 3 NaN NaN NaN NaN NaN NaN 16.973 0.145 2011 4 NaN NaN NaN NaN NaN NaN 19.695 0.685 2011 5 NaN NaN NaN NaN NaN NaN 22.435 0.480 2011 6 NaN NaN NaN NaN NaN NaN 25.334 0.288 2011 7 NaN NaN NaN NaN NaN NaN 27.696 1.003 2011 8 NaN NaN NaN NaN NaN NaN 28.225 0.986 2011 9 NaN NaN NaN NaN NaN NaN 27.189 1.111 2011 10 NaN NaN NaN NaN NaN NaN 24.071 0.120 2011 11 NaN NaN NaN NaN NaN NaN 18.915 -1.578 2011 12 NaN NaN NaN NaN NaN NaN 16.148 -0.022 2012 1 NaN NaN NaN NaN NaN NaN 13.851 -0.628 2012 2 NaN NaN NaN NaN NaN NaN 14.742 -0.575 2012 3 NaN NaN NaN NaN NaN NaN 15.985 -0.844 2012 4 NaN NaN NaN NaN NaN NaN 20.179 1.169 2012 5 NaN NaN NaN NaN NaN NaN 23.391 1.435 2012 6 NaN NaN NaN NaN NaN NaN 26.413 1.367 2012 7 NaN NaN NaN NaN NaN NaN 28.777 2.084 2012 8 NaN NaN NaN NaN NaN NaN 29.294 2.055 2012 9 NaN NaN NaN NaN NaN NaN 27.073 0.995 2012 10 NaN NaN NaN NaN NaN NaN 25.528 1.577 2012 11 NaN NaN NaN NaN NaN NaN 22.231 1.738 2012 12 NaN NaN NaN NaN NaN NaN 16.791 0.621 2013 1 20.393 6.136 1 0 NaN NaN 15.185 0.706 2013 2 NaN NaN NaN NaN NaN NaN 16.848 1.531 2013 3 NaN NaN NaN NaN NaN NaN 18.897 2.068 2013 4 NaN NaN NaN NaN NaN NaN 19.738 0.727 2013 5 NaN NaN NaN NaN NaN NaN 23.939 1.983 2013 6 NaN NaN NaN NaN NaN NaN 26.130 1.084 2013 7 NaN NaN NaN NaN NaN NaN 26.773 0.080 2013 8 NaN NaN NaN NaN NaN NaN 28.293 1.054 2013 9 NaN NaN NaN NaN NaN NaN 26.702 0.624 2013 10 NaN NaN NaN NaN NaN NaN 23.508 -0.443