% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 17364 % Primary Name: ABDENNIZI % Record Type: TAVG % Country: Libya % Latitude: 25.21700 +/- 0.00050 % Longitude: 5.11700 +/- 0.00050 % Elevation (m): 740.00 +/- 0.05 % # of Months: 55 % % IDs: gsod - 606610-99999 % usaf - 606610 % % Sources: Global Summary of the Day % % Site Hash: 52a6850504de32a769b7bde6741f8445 % Raw Data Hash: 7464a073bcc0206ae7697cf3086c5c0e % Adj Data Hash: a20ee9c1e357c9bd896f5894223156a5 % % 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 2007 7 NaN NaN NaN NaN NaN NaN 32.663 0.228 2007 8 NaN NaN NaN NaN NaN NaN 32.771 0.943 2007 9 NaN NaN NaN NaN NaN NaN 30.851 1.433 2007 10 NaN NaN NaN NaN NaN NaN 25.205 1.039 2007 11 NaN NaN NaN NaN NaN NaN 18.783 0.568 2007 12 NaN NaN NaN NaN NaN NaN 13.791 0.718 2008 1 NaN NaN NaN NaN NaN NaN 11.206 -0.988 2008 2 NaN NaN NaN NaN NaN NaN 15.896 0.722 2008 3 NaN NaN NaN NaN NaN NaN 20.218 1.234 2008 4 NaN NaN NaN NaN NaN NaN 24.267 1.182 2008 5 NaN NaN NaN NaN NaN NaN 28.771 1.118 2008 6 NaN NaN NaN NaN NaN NaN 32.990 1.259 2008 7 33.196 0.619 1 0 NaN NaN 33.027 0.592 2008 8 32.706 0.734 0 0 32.770 0.798 32.327 0.499 2008 9 31.696 2.136 0 0 31.760 2.199 31.464 2.046 2008 10 25.952 1.642 0 0 26.015 1.705 25.463 1.297 2008 11 18.263 -0.095 0 0 18.326 -0.031 18.726 0.511 2008 12 11.819 -1.397 0 0 11.882 -1.334 12.825 -0.247 2009 1 11.808 -0.529 0 0 11.872 -0.465 12.823 0.629 2009 2 16.105 0.788 0 0 16.169 0.852 16.939 1.766 2009 3 21.260 2.132 0 0 21.323 2.196 21.024 2.040 2009 4 22.976 -0.253 0 0 23.039 -0.189 22.893 -0.192 2009 5 29.265 1.470 0 0 29.329 1.533 28.334 0.682 2009 6 33.159 1.285 0 0 33.223 1.349 32.789 1.058 2009 7 34.423 1.845 0 0 34.486 1.909 33.329 0.895 2009 8 33.231 1.260 0 0 33.295 1.323 32.532 0.704 2009 9 30.172 0.612 0 0 30.236 0.675 29.819 0.402 2009 10 25.885 1.576 0 0 25.949 1.639 25.275 1.109 2009 11 17.370 -0.987 0 0 17.434 -0.924 18.119 -0.096 2009 12 15.509 2.293 0 0 15.572 2.356 16.464 3.392 2010 1 14.185 1.848 0 0 14.248 1.911 15.392 3.198 2010 2 20.087 4.770 0 0 20.151 4.834 20.701 5.528 2010 3 22.713 3.586 0 0 22.777 3.649 22.833 3.849 2010 4 27.281 4.053 0 0 27.345 4.116 26.785 3.700 2010 5 30.106 2.310 0 0 30.169 2.374 29.534 1.882 2010 6 34.569 2.694 0 0 34.632 2.758 33.951 2.221 2010 7 34.274 1.697 0 0 34.338 1.760 33.419 0.985 2010 8 33.729 1.758 0 0 33.793 1.821 32.865 1.037 2010 9 30.667 1.106 0 0 30.730 1.170 30.633 1.216 2010 10 26.885 2.576 0 0 26.949 2.639 25.958 1.792 2010 11 19.485 1.127 0 0 19.549 1.191 20.141 1.927 2010 12 16.133 2.917 0 0 16.196 2.980 16.891 3.818 2011 1 13.523 1.187 0 0 13.587 1.250 14.580 2.387 2011 2 13.671 -1.646 0 0 13.734 -1.583 14.817 -0.356 2011 3 21.857 2.729 0 0 21.920 2.793 22.015 3.031 2011 4 24.661 1.432 0 0 24.725 1.496 24.288 1.203 2011 5 29.740 1.945 0 0 29.804 2.008 28.800 1.148 2011 6 32.857 0.983 0 0 32.921 1.047 32.575 0.844 2011 7 34.414 1.836 0 0 34.477 1.900 33.746 1.312 2011 8 33.160 1.188 0 0 33.223 1.251 32.627 0.799 2011 9 30.969 1.408 0 0 31.032 1.471 31.080 1.663 2011 10 24.030 -0.279 0 0 24.094 -0.216 23.222 -0.945 2011 11 19.628 1.270 0 0 19.691 1.333 20.056 1.841 2011 12 12.391 -0.825 0 0 12.454 -0.762 13.128 0.055 2012 1 9.639 -2.697 1 0 NaN NaN 11.361 -0.833 2012 2 NaN NaN NaN NaN NaN NaN 12.960 -2.213 2012 3 NaN NaN NaN NaN NaN NaN 18.163 -0.821 2012 4 NaN NaN NaN NaN NaN NaN 24.254 1.169 2012 5 NaN NaN NaN NaN NaN NaN 29.771 2.119 2012 6 NaN NaN NaN NaN NaN NaN 33.449 1.719 2012 7 NaN NaN NaN NaN NaN NaN 33.212 0.778 2012 8 NaN NaN NaN NaN NaN NaN 32.140 0.312 2012 9 NaN NaN NaN NaN NaN NaN 30.538 1.120 2012 10 NaN NaN NaN NaN NaN NaN 25.720 1.554 2012 11 NaN NaN NaN NaN NaN NaN 20.745 2.531 2012 12 14.460 1.244 1 0 NaN NaN 14.594 1.522 2013 1 10.425 -1.912 0 2 10.136 -2.201 11.908 -0.286 2013 2 13.183 -2.134 0 0 12.894 -2.423 14.771 -0.403 2013 3 21.855 2.727 0 0 21.566 2.438 22.616 3.632 2013 4 25.428 2.199 0 0 25.139 1.910 24.915 1.830 2013 5 29.817 2.022 0 0 29.528 1.733 29.464 1.812 2013 6 33.628 1.754 0 0 33.339 1.465 33.391 1.660 2013 7 34.027 1.449 0 0 33.738 1.160 33.253 0.819 2013 8 36.306 4.335 0 0 36.018 4.046 32.655 0.827 2013 9 34.856 5.295 0 0 34.567 5.006 30.815 1.398 2013 10 29.331 5.021 1 0 NaN NaN 25.559 1.393 2013 11 24.437 6.079 1 0 NaN NaN NaN NaN