% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 22903 % Primary Name: LLEIDA-ALGUAIRE AIRP % Record Type: TAVG % Country: Spain % Latitude: 41.72800 +/- 0.00050 % Longitude: 0.53600 +/- 0.00050 % Elevation (m): 350.00 +/- 0.05 % # of Months: 47 % % IDs: gsod - 084515-99999 % icao - LEDA % usaf - 84515 % % Sources: Global Summary of the Day % % Site Hash: 169a1b7e8548e9a7e8c2becd4066676d % Raw Data Hash: df823d31d2dad12ba3e35b1d6d88ccf7 % Adj Data Hash: f7fc7ae329256957ac2e4a3bb07a40de % % 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 2009 1 NaN NaN NaN NaN NaN NaN 6.022 -0.297 2009 2 NaN NaN NaN NaN NaN NaN 8.038 0.074 2009 3 NaN NaN NaN NaN NaN NaN 11.211 0.690 2009 4 NaN NaN NaN NaN NaN NaN 12.531 -0.188 2009 5 NaN NaN NaN NaN NaN NaN 19.186 2.471 2009 6 NaN NaN NaN NaN NaN NaN 23.042 2.538 2009 7 NaN NaN NaN NaN NaN NaN 25.755 2.025 2009 8 NaN NaN NaN NaN NaN NaN 25.799 2.347 2009 9 NaN NaN NaN NaN NaN NaN 21.025 0.633 2009 10 NaN NaN NaN NaN NaN NaN 17.263 2.145 2009 11 NaN NaN NaN NaN NaN NaN 12.160 2.252 2009 12 NaN NaN NaN NaN NaN NaN 7.479 0.641 2010 1 6.409 -0.403 1 0 NaN NaN 6.199 -0.120 2010 2 6.907 -1.551 0 0 6.907 -1.551 7.388 -0.575 2010 3 10.192 -0.823 0 0 10.192 -0.823 9.999 -0.523 2010 4 14.281 1.068 0 0 14.281 1.068 13.798 1.078 2010 5 17.030 -0.178 0 0 17.030 -0.178 16.465 -0.250 2010 6 21.787 0.789 0 0 21.787 0.789 20.714 0.209 2010 7 27.244 3.020 0 0 27.244 3.020 26.068 2.338 2010 8 25.208 1.263 0 0 25.208 1.263 24.589 1.138 2010 9 20.837 -0.049 0 0 20.837 -0.049 20.744 0.351 2010 10 15.052 -0.560 0 0 15.052 -0.560 14.892 -0.227 2010 11 9.641 -0.760 0 0 9.641 -0.760 9.539 -0.368 2010 12 5.891 -1.441 0 0 5.891 -1.441 6.540 -0.298 2011 1 4.905 -1.907 0 0 4.905 -1.907 6.694 0.375 2011 2 8.323 -0.134 0 0 8.323 -0.134 9.253 1.290 2011 3 11.398 0.383 0 0 11.398 0.383 11.110 0.589 2011 4 16.780 3.566 0 0 16.780 3.566 15.867 3.147 2011 5 21.233 4.025 0 0 21.233 4.025 19.294 2.579 2011 6 23.354 2.355 0 0 23.354 2.355 21.772 1.268 2011 7 24.484 0.260 0 0 24.484 0.260 24.133 0.403 2011 8 27.367 3.422 0 0 27.367 3.422 25.578 2.126 2011 9 24.458 3.572 0 0 24.458 3.572 22.947 2.554 2011 10 18.104 2.492 0 0 18.104 2.492 17.220 2.101 2011 11 12.293 1.891 0 0 12.293 1.891 12.213 2.305 2011 12 7.004 -0.328 1 0 NaN NaN 8.793 1.955 2012 1 5.065 -1.747 0 0 5.065 -1.747 7.374 1.056 2012 2 5.151 -3.306 0 0 5.151 -3.306 5.878 -2.085 2012 3 13.174 2.159 0 0 13.174 2.159 11.880 1.359 2012 4 13.989 0.776 0 0 13.989 0.776 13.063 0.343 2012 5 21.344 4.136 0 0 21.344 4.136 19.270 2.555 2012 6 26.065 5.066 0 0 26.065 5.066 23.454 2.949 2012 7 25.155 0.931 1 0 NaN NaN 24.563 0.833 2012 8 28.548 4.603 1 0 NaN NaN 26.292 2.840 2012 9 23.538 2.652 1 0 NaN NaN 21.678 1.286 2012 10 18.144 2.532 1 0 NaN NaN 16.609 1.490 2012 11 11.646 1.245 1 0 NaN NaN 10.965 1.057 2012 12 8.294 0.962 1 0 NaN NaN 8.514 1.675 2013 1 7.519 0.707 1 0 NaN NaN 8.178 1.859 2013 2 8.667 0.209 1 0 NaN NaN 8.062 0.098 2013 3 12.596 1.581 1 0 NaN NaN 11.784 1.263 2013 4 12.835 -0.378 1 0 NaN NaN 13.531 0.811 2013 5 17.825 0.617 1 0 NaN NaN 15.937 -0.778 2013 6 24.306 3.307 1 0 NaN NaN 20.829 0.324 2013 7 27.915 3.691 1 0 NaN NaN 26.323 2.593 2013 8 24.785 0.840 1 0 NaN NaN 24.919 1.467 2013 9 23.565 2.679 1 0 NaN NaN 21.995 1.603 2013 10 20.630 5.018 1 0 NaN NaN 18.554 3.435 2013 11 18.572 8.171 1 0 NaN NaN NaN NaN