% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 17191 % Primary Name: ABRAQUE AL HABARI % Record Type: TAVG % Country: Kuwait % Latitude: 29.30000 +/- 0.05000 % Longitude: 47.00000 +/- 0.05000 % Elevation (m): 236.00 +/- 0.05 % # of Months: 77 % % IDs: gsod - 405730-99999 % usaf - 405730 % % Sources: Global Summary of the Day % % Site Hash: 4a3eaa35ed2980c8210a5774e3526435 % Raw Data Hash: 2fb0ff36e774c2cf908f172b951f1540 % Adj Data Hash: e8a4c46c92a7174e6f0baccdad046a25 % % 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 2006 3 NaN NaN NaN NaN NaN NaN 22.000 1.865 2006 4 NaN NaN NaN NaN NaN NaN 26.413 0.922 2006 5 NaN NaN NaN NaN NaN NaN 33.805 2.259 2006 6 NaN NaN NaN NaN NaN NaN 37.838 2.328 2006 7 NaN NaN NaN NaN NaN NaN 37.805 0.829 2006 8 NaN NaN NaN NaN NaN NaN 39.174 2.580 2006 9 NaN NaN NaN NaN NaN NaN 33.992 0.471 2006 10 NaN NaN NaN NaN NaN NaN 29.658 2.307 2006 11 NaN NaN NaN NaN NaN NaN 18.551 -1.201 2006 12 NaN NaN NaN NaN NaN NaN 10.374 -3.315 2007 1 NaN NaN NaN NaN NaN NaN 10.957 -1.715 2007 2 NaN NaN NaN NaN NaN NaN 16.921 1.378 2007 3 18.619 -0.313 1 0 NaN NaN 20.630 0.495 2007 4 24.854 0.565 0 0 24.854 0.565 25.941 0.449 2007 5 33.203 2.859 0 0 33.203 2.859 34.212 2.666 2007 6 36.261 1.953 1 0 NaN NaN 37.004 1.494 2007 7 37.167 1.393 0 0 37.167 1.393 37.858 0.882 2007 8 37.668 2.276 1 0 NaN NaN 38.110 1.516 2007 9 34.064 1.745 1 0 NaN NaN 34.985 1.464 2007 10 28.280 2.131 0 0 28.280 2.131 29.247 1.897 2007 11 19.369 0.819 0 0 19.369 0.819 20.528 0.776 2007 12 12.928 0.442 0 0 12.928 0.442 13.941 0.252 2008 1 8.572 -2.897 0 0 8.572 -2.897 10.116 -2.556 2008 2 13.345 -0.996 0 0 13.345 -0.996 15.299 -0.244 2008 3 22.625 3.692 0 0 22.625 3.692 24.522 4.387 2008 4 27.198 2.909 0 0 27.198 2.909 27.969 2.477 2008 5 32.152 1.809 0 0 32.152 1.809 33.211 1.665 2008 6 35.624 1.316 0 0 35.624 1.316 36.618 1.108 2008 7 37.572 1.798 0 0 37.572 1.798 38.199 1.223 2008 8 37.778 2.386 0 0 37.778 2.386 38.766 2.172 2008 9 34.352 2.034 0 0 34.352 2.034 35.318 1.798 2008 10 26.831 0.683 0 0 26.831 0.683 27.842 0.491 2008 11 18.087 -0.463 0 0 18.087 -0.463 19.351 -0.402 2008 12 12.075 -0.411 0 0 12.075 -0.411 13.072 -0.617 2009 1 9.774 -1.695 0 0 9.774 -1.695 11.429 -1.242 2009 2 16.067 1.727 0 0 16.067 1.727 18.192 2.649 2009 3 19.057 0.125 0 0 19.057 0.125 20.804 0.669 2009 4 24.052 -0.238 0 0 24.052 -0.238 25.273 -0.218 2009 5 32.247 1.904 0 0 32.247 1.904 33.242 1.696 2009 6 36.602 2.294 0 0 36.602 2.294 37.492 1.982 2009 7 36.634 0.861 0 0 36.634 0.861 37.450 0.475 2009 8 37.144 1.752 0 0 37.144 1.752 37.997 1.403 2009 9 32.909 0.591 0 0 32.909 0.591 33.784 0.264 2009 10 28.181 2.032 0 0 28.181 2.032 28.964 1.614 2009 11 18.921 0.371 0 0 18.921 0.371 20.057 0.305 2009 12 14.310 1.823 0 0 14.310 1.823 15.414 1.725 2010 1 14.367 2.898 0 0 14.367 2.898 15.980 3.309 2010 2 16.879 2.538 0 0 16.879 2.538 18.848 3.305 2010 3 22.573 3.641 0 0 22.573 3.641 23.973 3.838 2010 4 26.531 2.242 0 0 26.531 2.242 27.305 1.813 2010 5 32.174 1.830 0 0 32.174 1.830 33.312 1.766 2010 6 37.257 2.950 0 0 37.257 2.950 38.061 2.550 2010 7 38.581 2.807 0 0 38.581 2.807 39.262 2.287 2010 8 38.645 3.253 0 0 38.645 3.253 39.551 2.957 2010 9 34.744 2.426 0 0 34.744 2.426 35.791 2.271 2010 10 29.057 2.909 0 0 29.057 2.909 29.778 2.427 2010 11 19.372 0.822 0 0 19.372 0.822 20.593 0.841 2010 12 14.358 1.872 0 0 14.358 1.872 15.142 1.453 2011 1 11.693 0.223 0 0 11.693 0.223 13.623 0.951 2011 2 13.972 -0.369 0 0 13.972 -0.369 15.973 0.430 2011 3 17.750 -1.183 0 0 17.750 -1.183 20.012 -0.123 2011 4 25.233 0.944 0 0 25.233 0.944 26.310 0.818 2011 5 32.185 1.841 0 0 32.185 1.841 33.346 1.800 2011 6 36.180 1.872 0 0 36.180 1.872 37.220 1.710 2011 7 37.937 2.164 0 0 37.937 2.164 38.784 1.808 2011 8 37.403 2.011 0 0 37.403 2.011 38.492 1.898 2011 9 33.546 1.228 0 0 33.546 1.228 34.696 1.175 2011 10 27.096 0.948 0 0 27.096 0.948 27.622 0.271 2011 11 15.941 -2.609 0 0 15.941 -2.609 17.263 -2.490 2011 12 10.783 -1.703 0 0 10.783 -1.703 12.184 -1.505 2012 1 11.341 -0.129 0 0 11.341 -0.129 12.815 0.143 2012 2 13.205 -1.136 0 0 13.205 -1.136 15.099 -0.444 2012 3 17.079 -1.854 0 0 17.079 -1.854 19.041 -1.094 2012 4 25.998 1.709 0 0 25.998 1.709 27.188 1.696 2012 5 33.267 2.923 0 0 33.267 2.923 34.464 2.919 2012 6 36.548 2.240 0 0 36.548 2.240 37.829 2.319 2012 7 39.126 3.353 0 0 39.126 3.353 39.690 2.715 2012 8 37.650 2.258 0 0 37.650 2.258 38.654 2.060 2012 9 33.050 0.732 0 0 33.050 0.732 34.351 0.831 2012 10 28.572 2.423 0 0 28.572 2.423 29.359 2.008 2012 11 19.663 1.113 0 0 19.663 1.113 20.784 1.031 2012 12 13.902 1.415 0 0 13.902 1.415 14.935 1.247 2013 1 12.287 0.818 0 0 12.287 0.818 13.827 1.155 2013 2 16.087 1.747 0 0 16.087 1.747 18.210 2.667 2013 3 20.006 1.073 1 0 NaN NaN 22.320 2.186 2013 4 25.267 0.977 0 0 25.267 0.977 26.513 1.021 2013 5 29.738 -0.605 0 0 29.738 -0.605 31.122 -0.424 2013 6 33.118 -1.190 1 0 NaN NaN 36.188 0.678 2013 7 37.795 2.021 1 0 NaN NaN 38.315 1.339 2013 8 NaN NaN NaN NaN NaN NaN 37.726 1.132 2013 9 NaN NaN NaN NaN NaN NaN 34.158 0.637 2013 10 NaN NaN NaN NaN NaN NaN 25.652 -1.699