% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22892 % Primary Name: SABADELL % Record Type: TAVG % Country: Spain % Latitude: 41.51700 +/- 0.00050 % Longitude: 2.10000 +/- 0.00050 % Elevation (m): 250.00 +/- 0.05 % # of Months: 86 % % IDs: gsod - 081763-99999 % icao - LELL % usaf - 81763 % % Sources: Global Summary of the Day % % Site Hash: ff8ae917c040c8be1c867ba7c87f88c0 % Raw Data Hash: c238c018a2a2245636257bdfe1532ca6 % Adj Data Hash: bd8248cd1c5908b62acb0b681a654773 % % 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 2005 10 NaN NaN NaN NaN NaN NaN 19.269 1.609 2005 11 NaN NaN NaN NaN NaN NaN 13.484 -0.225 2005 12 NaN NaN NaN NaN NaN NaN 9.634 -1.612 2006 1 NaN NaN NaN NaN NaN NaN 10.104 -0.262 2006 2 NaN NaN NaN NaN NaN NaN 10.177 -0.523 2006 3 NaN NaN NaN NaN NaN NaN 13.357 1.427 2006 4 NaN NaN NaN NaN NaN NaN 15.613 2.165 2006 5 NaN NaN NaN NaN NaN NaN 19.167 2.303 2006 6 NaN NaN NaN NaN NaN NaN 21.915 1.737 2006 7 NaN NaN NaN NaN NaN NaN 26.547 3.485 2006 8 NaN NaN NaN NaN NaN NaN 23.912 0.473 2006 9 NaN NaN NaN NaN NaN NaN 22.937 1.336 2006 10 19.861 2.774 1 0 NaN NaN 20.623 2.963 2006 11 13.350 0.213 0 0 14.001 0.864 16.509 2.800 2006 12 7.507 -3.167 0 0 8.158 -2.516 11.976 0.729 2007 1 7.382 -2.411 0 0 8.032 -1.760 11.892 1.527 2007 2 10.091 -0.035 0 0 10.742 0.616 13.037 2.338 2007 3 12.004 0.647 0 0 12.654 1.298 13.133 1.203 2007 4 15.170 2.295 0 0 15.821 2.946 15.436 1.987 2007 5 18.763 2.472 0 0 19.414 3.123 18.954 2.090 2007 6 22.713 3.108 0 0 23.364 3.758 21.889 1.711 2007 7 24.156 1.667 0 0 24.807 2.317 23.756 0.694 2007 8 22.870 0.004 0 0 23.521 0.655 23.612 0.173 2007 9 20.663 -0.365 0 0 21.314 0.286 22.014 0.413 2007 10 16.401 -0.685 0 0 17.052 -0.035 18.280 0.621 2007 11 10.835 -2.302 0 0 11.486 -1.651 13.063 -0.647 2007 12 8.341 -2.333 0 0 8.991 -1.683 11.579 0.332 2008 1 9.656 -0.137 0 0 10.307 0.514 12.422 2.056 2008 2 10.349 0.222 0 0 10.999 0.873 12.185 1.486 2008 3 12.039 0.683 0 0 12.690 1.334 12.814 0.884 2008 4 14.335 1.460 0 0 14.986 2.110 14.619 1.170 2008 5 17.045 0.754 0 0 17.696 1.404 17.520 0.656 2008 6 21.387 1.782 0 0 22.038 2.432 20.926 0.747 2008 7 25.059 2.570 0 0 25.710 3.221 24.081 1.018 2008 8 25.102 2.236 0 0 25.753 2.886 24.693 1.253 2008 9 21.089 0.061 0 0 21.740 0.712 21.930 0.329 2008 10 17.147 0.060 0 0 17.798 0.711 18.299 0.639 2008 11 11.080 -2.057 0 0 11.730 -1.406 12.729 -0.981 2008 12 8.158 -2.516 0 0 8.808 -1.865 10.667 -0.580 2009 1 8.170 -1.623 0 4 7.879 -1.914 10.206 -0.160 2009 2 9.940 -0.186 0 0 9.649 -0.478 10.685 -0.014 2009 3 12.858 1.502 0 0 12.567 1.210 12.410 0.481 2009 4 13.937 1.062 0 0 13.645 0.770 13.617 0.168 2009 5 19.885 3.594 0 0 19.594 3.302 19.037 2.173 2009 6 23.826 4.221 0 0 23.534 3.929 22.453 2.275 2009 7 25.464 2.975 0 0 25.172 2.683 24.669 1.607 2009 8 26.127 3.261 0 0 25.836 2.969 25.686 2.246 2009 9 21.163 0.135 0 0 20.871 -0.157 22.366 0.765 2009 10 17.554 0.467 0 0 17.262 0.175 19.135 1.476 2009 11 14.361 1.224 0 0 14.069 0.933 15.622 1.913 2009 12 9.747 -0.927 0 0 9.456 -1.218 11.816 0.569 2010 1 8.088 -1.705 0 0 7.796 -1.997 9.965 -0.401 2010 2 9.331 -0.795 0 0 9.040 -1.087 10.297 -0.402 2010 3 11.149 -0.208 0 0 10.857 -0.499 11.294 -0.635 2010 4 14.900 2.024 0 0 14.608 1.733 14.373 0.925 2010 5 17.007 0.716 0 0 16.715 0.424 16.761 -0.102 2010 6 21.537 1.932 0 0 21.245 1.640 20.572 0.394 2010 7 25.916 3.427 0 0 25.624 3.135 25.213 2.150 2010 8 24.009 1.142 0 0 23.717 0.851 24.311 0.871 2010 9 20.080 -0.949 0 0 19.788 -1.240 21.837 0.236 2010 10 16.658 -0.429 0 0 16.366 -0.721 17.590 -0.070 2010 11 11.787 -1.350 0 0 11.495 -1.641 13.407 -0.302 2010 12 8.690 -1.984 0 0 8.398 -2.276 10.964 -0.282 2011 1 9.306 -0.487 0 0 9.015 -0.778 10.780 0.415 2011 2 11.056 0.929 0 0 10.764 0.637 11.776 1.077 2011 3 12.697 1.341 0 0 12.405 1.049 12.818 0.889 2011 4 16.894 4.019 0 0 16.603 3.727 16.262 2.814 2011 5 18.884 2.592 0 0 18.592 2.301 19.276 2.412 2011 6 21.141 1.535 0 0 20.849 1.244 21.023 0.845 2011 7 23.912 1.423 0 0 23.620 1.131 23.237 0.175 2011 8 26.086 3.219 0 0 25.794 2.928 24.920 1.480 2011 9 24.046 3.018 0 0 23.755 2.726 23.782 2.181 2011 10 19.394 2.308 0 0 19.103 2.016 19.887 2.228 2011 11 15.322 2.185 0 0 15.031 1.894 16.466 2.756 2011 12 10.880 0.206 0 0 10.588 -0.086 13.114 1.867 2012 1 9.224 -0.569 0 0 8.932 -0.861 11.413 1.047 2012 2 7.718 -2.408 0 0 7.427 -2.700 8.482 -2.217 2012 3 13.511 2.154 0 0 13.219 1.863 13.591 1.662 2012 4 12.962 0.086 0 0 12.670 -0.206 14.171 0.723 2012 5 21.029 4.738 0 0 20.737 4.446 19.048 2.184 2012 6 24.702 5.096 0 0 24.410 4.805 22.906 2.727 2012 7 24.253 1.763 0 0 23.961 1.472 23.935 0.873 2012 8 27.506 4.639 0 0 27.214 4.347 26.092 2.652 2012 9 24.576 3.548 0 0 24.284 3.256 22.775 1.174 2012 10 19.615 2.528 0 0 19.323 2.236 19.310 1.650 2012 11 14.711 1.574 0 0 14.419 1.283 15.052 1.343 2012 12 10.928 0.254 0 0 10.637 -0.037 12.598 1.351 2013 1 9.875 0.082 0 0 9.583 -0.210 11.705 1.339 2013 2 9.304 -0.823 0 0 9.012 -1.115 10.490 -0.209 2013 3 13.283 1.927 0 0 12.991 1.635 13.447 1.517 2013 4 15.241 2.365 0 0 14.949 2.074 14.361 0.913 2013 5 16.814 0.523 0 0 16.522 0.231 16.438 -0.426 2013 6 22.439 2.833 0 0 22.147 2.542 20.723 0.545 2013 7 27.244 4.755 0 0 26.952 4.463 25.376 2.314 2013 8 25.882 3.015 0 0 25.590 2.723 24.861 1.421 2013 9 22.633 1.605 0 0 22.342 1.313 22.845 1.244 2013 10 20.097 3.010 0 0 19.805 2.718 20.900 3.241 2013 11 17.914 4.777 1 0 NaN NaN NaN NaN