% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174255 % Primary Name: KOTKA KIRKONMAA % Record Type: TAVG % Country: Finland % Latitude: 60.38500 +/- 0.00005 % Longitude: 27.05170 +/- 0.00005 % Elevation (m): 17.00 +/- 0.50 % # of Months: 82 % % IDs: ghcnd - FIE00142406 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 8cce3ed3bc9868a6d6e53fcf7b839525 % Raw Data Hash: b08c783fa46c11d02f45dc5db2733921 % Adj Data Hash: b08c783fa46c11d02f45dc5db2733921 % % 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 11 NaN NaN NaN NaN NaN NaN 4.937 3.768 2005 12 NaN NaN NaN NaN NaN NaN -2.100 0.947 2006 1 NaN NaN NaN NaN NaN NaN -4.122 2.234 2006 2 NaN NaN NaN NaN NaN NaN -9.827 -2.337 2006 3 NaN NaN NaN NaN NaN NaN -7.040 -2.862 2006 4 NaN NaN NaN NaN NaN NaN 2.867 1.418 2006 5 NaN NaN NaN NaN NaN NaN 9.292 1.510 2006 6 NaN NaN NaN NaN NaN NaN 14.913 1.436 2006 7 NaN NaN NaN NaN NaN NaN 17.397 1.459 2006 8 NaN NaN NaN NaN NaN NaN 18.262 2.887 2006 9 NaN NaN NaN NaN NaN NaN 13.235 2.475 2006 10 NaN NaN NaN NaN NaN NaN 8.406 2.651 2006 11 2.075 0.793 0 0 2.075 0.793 2.686 1.517 2006 12 3.390 6.324 0 0 3.390 6.324 3.866 6.912 2007 1 -1.684 4.559 0 0 -1.684 4.559 -1.629 4.727 2007 2 -10.180 -2.803 0 0 -10.180 -2.803 -10.065 -2.575 2007 3 1.937 6.003 0 0 1.937 6.003 2.069 6.247 2007 4 4.485 2.924 0 0 4.485 2.924 4.481 3.032 2007 5 9.276 1.381 0 0 9.276 1.381 9.314 1.531 2007 6 14.767 1.176 0 0 14.767 1.176 14.592 1.114 2007 7 16.990 0.939 0 0 16.990 0.939 16.226 0.287 2007 8 17.773 2.286 0 0 17.773 2.286 17.168 1.794 2007 9 11.607 0.734 0 0 11.607 0.734 11.101 0.341 2007 10 7.505 1.637 0 0 7.505 1.637 7.524 1.768 2007 11 0.715 -0.567 0 0 0.715 -0.567 1.459 0.289 2007 12 1.702 4.636 0 0 1.702 4.636 2.327 5.373 2008 1 -0.266 5.977 0 0 -0.266 5.977 -0.126 6.229 2008 2 0.019 7.397 0 0 0.019 7.397 -0.373 7.118 2008 3 -0.718 3.348 0 0 -0.718 3.348 -0.962 3.216 2008 4 4.623 3.062 0 0 4.623 3.062 4.836 3.387 2008 5 9.515 1.619 0 0 9.515 1.619 9.458 1.676 2008 6 13.683 0.093 0 0 13.683 0.093 13.563 0.086 2008 7 17.011 0.960 0 0 17.011 0.960 16.087 0.148 2008 8 15.540 0.053 0 0 15.540 0.053 14.982 -0.392 2008 9 10.672 -0.201 0 0 10.672 -0.201 9.930 -0.831 2008 10 8.860 2.992 0 0 8.860 2.992 8.788 3.032 2008 11 3.587 2.305 0 0 3.587 2.305 3.811 2.642 2008 12 0.756 3.690 0 0 0.756 3.690 1.149 4.196 2009 1 -2.732 3.511 0 0 -2.732 3.511 -3.033 3.323 2009 2 -4.893 2.485 0 0 -4.893 2.485 -5.351 2.139 2009 3 -2.069 1.997 0 0 -2.069 1.997 -2.170 2.009 2009 4 3.208 1.647 0 0 3.208 1.647 3.385 1.937 2009 5 10.202 2.307 0 0 10.202 2.307 10.001 2.219 2009 6 14.137 0.546 0 0 14.137 0.546 13.485 0.007 2009 7 17.413 1.362 0 0 17.413 1.362 16.211 0.272 2009 8 16.842 1.355 0 0 16.842 1.355 16.079 0.705 2009 9 13.708 2.836 0 0 13.708 2.836 12.920 2.160 2009 10 4.135 -1.732 0 0 4.135 -1.732 4.474 -1.281 2009 11 2.997 1.715 0 0 2.997 1.715 3.419 2.250 2009 12 -4.079 -1.145 0 0 -4.079 -1.145 -3.856 -0.809 2010 1 -12.673 -6.429 0 0 -12.673 -6.429 -11.687 -5.331 2010 2 -10.300 -2.922 0 0 -10.300 -2.922 -9.812 -2.322 2010 3 -3.685 0.381 0 0 -3.685 0.381 -3.277 0.901 2010 4 3.080 1.519 0 0 3.080 1.519 3.626 2.178 2010 5 10.482 2.587 0 0 10.482 2.587 10.398 2.615 2010 6 14.120 0.530 0 0 14.120 0.530 13.867 0.389 2010 7 21.579 5.528 0 0 21.579 5.528 20.948 5.009 2010 8 18.323 2.836 0 0 18.323 2.836 17.742 2.368 2010 9 12.322 1.449 0 0 12.322 1.449 11.618 0.858 2010 10 5.861 -0.007 0 0 5.861 -0.007 5.733 -0.022 2010 11 -0.190 -1.472 0 0 -0.190 -1.472 0.001 -1.168 2010 12 -8.208 -5.274 0 0 -8.208 -5.274 -7.774 -4.727 2011 1 -5.424 0.819 0 0 -5.424 0.819 -5.137 1.219 2011 2 -11.377 -3.999 0 0 -11.377 -3.999 -11.562 -4.071 2011 3 -2.273 1.793 0 0 -2.273 1.793 -2.318 1.861 2011 4 4.002 2.440 0 0 4.002 2.440 4.251 2.802 2011 5 8.752 0.857 0 0 8.752 0.857 8.930 1.147 2011 6 15.930 2.340 0 0 15.930 2.340 15.811 2.333 2011 7 20.408 4.357 0 0 20.408 4.357 19.541 3.602 2011 8 17.423 1.936 0 0 17.423 1.936 16.825 1.451 2011 9 13.107 2.234 0 0 13.107 2.234 12.783 2.023 2011 10 8.429 2.561 0 0 8.429 2.561 8.305 2.550 2011 11 4.928 3.646 0 0 4.928 3.646 5.560 4.390 2011 12 2.997 5.931 0 0 2.997 5.931 3.116 6.163 2012 1 -3.194 3.050 0 0 -3.194 3.050 -3.950 2.405 2012 2 -8.502 -1.124 0 0 -8.502 -1.124 -8.924 -1.433 2012 3 -0.510 3.556 0 0 -0.510 3.556 -0.679 3.500 2012 4 2.850 1.289 0 0 2.850 1.289 2.845 1.396 2012 5 9.882 1.987 0 0 9.882 1.987 9.860 2.078 2012 6 12.902 -0.689 0 0 12.902 -0.689 12.736 -0.741 2012 7 17.315 1.263 0 0 17.315 1.263 16.614 0.676 2012 8 15.589 0.102 0 0 15.589 0.102 15.355 -0.019 2012 9 12.620 1.747 0 0 12.620 1.747 11.867 1.106 2012 10 6.637 0.769 0 0 6.637 0.769 6.679 0.924 2012 11 3.820 2.538 0 0 3.820 2.538 4.259 3.089 2012 12 -5.535 -2.601 0 0 -5.535 -2.601 -5.473 -2.426 2013 1 -5.892 0.351 0 0 -5.892 0.351 -5.365 0.991 2013 2 -3.112 4.265 0 0 -3.112 4.265 -3.361 4.129 2013 3 -7.171 -3.105 0 0 -7.171 -3.105 -7.003 -2.824 2013 4 1.993 0.432 0 0 1.993 0.432 1.926 0.477 2013 5 11.477 3.582 0 0 11.477 3.582 11.416 3.633 2013 6 17.187 3.596 0 0 17.187 3.596 16.734 3.256 2013 7 17.760 1.708 0 0 17.760 1.708 16.786 0.847 2013 8 17.426 1.939 0 0 17.426 1.939 16.793 1.418 2013 9 NaN NaN NaN NaN NaN NaN 11.845 1.085 2013 10 NaN NaN NaN NaN NaN NaN 7.374 1.619