% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 152586 % Primary Name: BAKU (KHURDALAN) % Record Type: TAVG % Country: Azerbaijan % Latitude: 40.41700 +/- 0.00050 % Longitude: 49.78300 +/- 0.00050 % Elevation (m): 85.00 +/- 0.05 % # of Months: 66 % % IDs: gsod - 378510-99999 % usaf - 378510 % wmo - 37851 % % Sources: Global Summary of the Day % World Meteorological Organization Metadata % % Site Hash: 782f7872679ea9ce01e6d7c6ed248934 % Raw Data Hash: d9a0a9c23cd5193b480aebdec17b7d6e % Adj Data Hash: 64e57d1c14ed9f4976f25d48f790ff4e % % 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 1 NaN NaN NaN NaN NaN NaN -1.308 -1.622 2006 2 NaN NaN NaN NaN NaN NaN 2.445 1.636 2006 3 NaN NaN NaN NaN NaN NaN 6.199 2.361 2006 4 NaN NaN NaN NaN NaN NaN 10.861 1.333 2006 5 NaN NaN NaN NaN NaN NaN 15.763 0.031 2006 6 NaN NaN NaN NaN NaN NaN 23.669 3.412 2006 7 NaN NaN NaN NaN NaN NaN 23.723 0.230 2006 8 NaN NaN NaN NaN NaN NaN 26.458 3.400 2006 9 NaN NaN NaN NaN NaN NaN 19.219 0.895 2006 10 NaN NaN NaN NaN NaN NaN 14.745 2.498 2006 11 NaN NaN NaN NaN NaN NaN 7.419 0.220 2006 12 NaN NaN NaN NaN NaN NaN 2.080 -0.815 2007 1 7.445 4.276 1 0 NaN NaN 3.132 2.818 2007 2 3.838 0.174 1 0 NaN NaN 2.195 1.386 2007 3 6.252 -0.442 1 0 NaN NaN 4.273 0.435 2007 4 10.540 -1.844 1 0 NaN NaN 8.744 -0.784 2007 5 20.174 1.586 0 0 20.348 1.760 17.879 2.147 2007 6 23.657 0.544 1 0 NaN NaN 21.274 1.017 2007 7 26.227 -0.123 1 0 NaN NaN 23.719 0.226 2007 8 27.907 1.993 1 0 NaN NaN 25.461 2.402 2007 9 23.199 2.019 1 0 NaN NaN 20.886 2.561 2007 10 17.424 2.322 1 0 NaN NaN 14.305 2.059 2007 11 9.466 -0.589 1 0 NaN NaN 7.031 -0.169 2007 12 8.181 2.431 1 0 NaN NaN 3.281 0.387 2008 1 2.443 -0.726 1 0 NaN NaN -3.952 -4.266 2008 2 3.356 -0.308 0 0 3.530 -0.134 0.801 -0.008 2008 3 10.331 3.637 0 0 10.505 3.811 9.113 5.274 2008 4 14.530 2.146 0 0 14.704 2.320 12.819 3.291 2008 5 19.134 0.547 1 0 NaN NaN 16.074 0.342 2008 6 22.224 -0.889 1 0 NaN NaN 20.159 -0.098 2008 7 27.789 1.440 0 0 27.963 1.614 24.598 1.104 2008 8 27.601 1.687 0 0 27.775 1.861 25.058 2.000 2008 9 22.217 1.037 0 0 22.391 1.211 18.933 0.609 2008 10 16.785 1.683 0 0 16.959 1.857 13.136 0.889 2008 11 12.137 2.082 1 0 NaN NaN 8.406 1.207 2008 12 2.848 -2.902 1 0 NaN NaN 1.940 -0.955 2009 1 NaN NaN NaN NaN NaN NaN 1.109 0.795 2009 2 6.400 2.736 1 0 NaN NaN 4.252 3.443 2009 3 NaN NaN NaN NaN NaN NaN 6.254 2.415 2009 4 NaN NaN NaN NaN NaN NaN 7.804 -1.724 2009 5 NaN NaN NaN NaN NaN NaN 16.273 0.541 2009 6 NaN NaN NaN NaN NaN NaN 21.897 1.640 2009 7 NaN NaN NaN NaN NaN NaN 25.086 1.593 2009 8 NaN NaN NaN NaN NaN NaN 21.934 -1.125 2009 9 20.972 -0.208 1 0 NaN NaN 18.028 -0.297 2009 10 18.807 3.705 1 0 NaN NaN 14.856 2.609 2009 11 12.945 2.890 1 0 NaN NaN 8.876 1.677 2009 12 NaN NaN NaN NaN NaN NaN 4.564 1.669 2010 1 NaN NaN NaN NaN NaN NaN 2.660 2.346 2010 2 NaN NaN NaN NaN NaN NaN 2.333 1.524 2010 3 NaN NaN NaN NaN NaN NaN 5.602 1.763 2010 4 NaN NaN NaN NaN NaN NaN 9.964 0.436 2010 5 NaN NaN NaN NaN NaN NaN 16.912 1.180 2010 6 NaN NaN NaN NaN NaN NaN 24.153 3.896 2010 7 NaN NaN NaN NaN NaN NaN 26.662 3.168 2010 8 27.407 1.493 1 0 NaN NaN 26.072 3.014 2010 9 23.276 2.096 1 0 NaN NaN 20.498 2.173 2010 10 17.519 2.417 1 0 NaN NaN 13.475 1.229 2010 11 13.310 3.255 0 2 13.264 3.209 10.257 3.057 2010 12 12.273 6.523 1 0 NaN NaN 7.496 4.601 2011 1 6.159 2.990 0 0 6.113 2.943 2.303 1.989 2011 2 3.569 -0.095 0 0 3.523 -0.141 0.506 -0.302 2011 3 6.303 -0.391 1 0 NaN NaN 4.198 0.360 2011 4 11.130 -1.253 0 0 11.084 -1.300 9.012 -0.516 2011 5 19.145 0.557 0 0 19.098 0.511 16.662 0.930 2011 6 24.782 1.670 0 0 24.736 1.623 21.584 1.327 2011 7 29.425 3.075 0 0 29.378 3.029 26.587 3.093 2011 8 26.619 0.705 0 0 26.573 0.659 23.495 0.437 2011 9 22.241 1.061 0 0 22.194 1.015 18.517 0.193 2011 10 15.679 0.577 0 0 15.633 0.530 12.248 0.001 2011 11 6.309 -3.746 0 0 6.263 -3.792 2.847 -4.352 2011 12 6.821 1.071 0 0 6.774 1.024 3.191 0.296 2012 1 3.767 0.597 0 0 3.720 0.551 0.286 -0.027 2012 2 0.787 -2.877 0 0 0.741 -2.923 -2.028 -2.836 2012 3 5.583 -1.111 0 0 5.537 -1.157 2.804 -1.034 2012 4 16.190 3.806 0 0 16.144 3.760 14.176 4.647 2012 5 21.565 2.978 0 0 21.519 2.931 19.385 3.653 2012 6 25.539 2.427 0 0 25.493 2.380 22.756 2.499 2012 7 26.789 0.440 0 0 26.743 0.394 23.940 0.446 2012 8 27.996 2.082 0 0 27.950 2.036 25.499 2.440 2012 9 22.477 1.297 0 0 22.431 1.251 19.306 0.982 2012 10 19.796 4.694 0 0 19.750 4.648 16.091 3.845 2012 11 17.036 6.981 1 0 NaN NaN 9.265 2.065 2012 12 NaN NaN NaN NaN NaN NaN 3.132 0.238 2013 1 NaN NaN NaN NaN NaN NaN 2.843 2.529 2013 2 6.833 3.169 0 0 6.787 3.123 4.506 3.698 2013 3 8.706 2.012 0 0 8.660 1.966 6.389 2.551 2013 4 13.198 0.814 0 0 13.151 0.767 10.988 1.460 2013 5 20.349 1.761 0 0 20.302 1.715 17.636 1.904 2013 6 24.370 1.258 0 0 24.324 1.211 21.490 1.233 2013 7 26.459 0.110 0 0 26.412 0.063 23.637 0.143 2013 8 25.953 0.039 0 0 25.906 -0.008 23.064 0.005 2013 9 22.036 0.856 1 0 NaN NaN 19.093 0.769 2013 10 15.867 0.765 0 0 15.820 0.718 12.218 -0.028 2013 11 15.230 5.175 1 0 NaN NaN NaN NaN