% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174748 % Primary Name: KALLSJO % Record Type: TAVG % Country: Sweden % Latitude: 57.23000 +/- 0.00500 % Longitude: 12.70000 +/- 0.00500 % Elevation (m): 154.00 +/- 0.50 % # of Months: 39 % % IDs: ghcnd - SWE00138016 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: f82263b4cf9434d8ef1862d453d661c2 % Raw Data Hash: 38b89a9cd0d0529f8710278aaa412935 % Adj Data Hash: 5daa464f5ace0b299f52ce770d16d9b0 % % 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 2007 10 NaN NaN NaN NaN NaN NaN 6.467 -0.389 2007 11 NaN NaN NaN NaN NaN NaN 2.256 0.087 2007 12 NaN NaN NaN NaN NaN NaN 1.865 3.238 2008 1 NaN NaN NaN NaN NaN NaN 1.799 4.955 2008 2 NaN NaN NaN NaN NaN NaN 2.357 5.422 2008 3 NaN NaN NaN NaN NaN NaN 1.885 1.745 2008 4 NaN NaN NaN NaN NaN NaN 6.933 2.129 2008 5 NaN NaN NaN NaN NaN NaN 12.402 1.745 2008 6 NaN NaN NaN NaN NaN NaN 15.426 0.391 2008 7 NaN NaN NaN NaN NaN NaN 17.293 1.225 2008 8 NaN NaN NaN NaN NaN NaN 15.749 0.467 2008 9 NaN NaN NaN NaN NaN NaN 11.482 -0.075 2008 10 8.090 1.304 0 0 8.090 1.304 8.095 1.239 2008 11 3.015 0.916 0 0 3.015 0.916 3.123 0.954 2008 12 0.665 2.107 0 0 0.665 2.107 0.471 1.844 2009 1 -1.210 2.016 0 0 -1.210 2.016 -1.534 1.622 2009 2 -2.098 1.036 0 0 -2.098 1.036 -2.546 0.519 2009 3 1.852 1.781 0 0 1.852 1.781 1.919 1.779 2009 4 9.447 4.712 0 0 9.447 4.712 9.068 4.264 2009 5 10.916 0.330 0 0 10.916 0.330 11.624 0.968 2009 6 13.758 -1.207 0 0 13.758 -1.207 14.676 -0.359 2009 7 16.931 0.932 0 0 16.931 0.932 17.234 1.165 2009 8 16.282 1.070 0 0 16.282 1.070 16.577 1.295 2009 9 13.085 1.598 0 0 13.085 1.598 12.745 1.189 2009 10 5.471 -1.315 0 0 5.471 -1.315 5.323 -1.533 2009 11 5.102 3.002 0 0 5.102 3.002 5.183 3.014 2009 12 -1.694 -0.251 0 0 -1.694 -0.251 -1.929 -0.556 2010 1 -6.445 -3.219 0 0 -6.445 -3.219 -6.784 -3.627 2010 2 -4.236 -1.101 0 0 -4.236 -1.101 -4.521 -1.457 2010 3 0.760 0.689 0 0 0.760 0.689 0.534 0.394 2010 4 5.935 1.200 0 0 5.935 1.200 6.213 1.409 2010 5 9.781 -0.806 0 0 9.781 -0.806 10.339 -0.317 2010 6 13.263 -1.702 0 0 13.263 -1.702 14.643 -0.393 2010 7 18.297 2.298 0 0 18.297 2.298 18.700 2.632 2010 8 15.961 0.749 0 0 15.961 0.749 16.290 1.009 2010 9 11.472 -0.015 0 0 11.472 -0.015 11.268 -0.288 2010 10 6.461 -0.325 0 0 6.461 -0.325 6.248 -0.609 2010 11 0.733 -1.366 0 0 0.733 -1.366 0.754 -1.415 2010 12 -7.540 -6.098 0 0 -7.540 -6.098 -7.795 -6.422 2011 1 -2.137 1.089 0 0 -2.137 1.089 -2.624 0.532 2011 2 -2.661 0.474 0 0 -2.661 0.474 -3.341 -0.276 2011 3 1.355 1.284 0 0 1.355 1.284 1.419 1.279 2011 4 9.120 4.385 0 0 9.120 4.385 9.130 4.326 2011 5 10.640 0.054 0 0 10.640 0.054 11.542 0.886 2011 6 14.968 0.003 0 0 14.968 0.003 16.247 1.212 2011 7 17.231 1.232 0 0 17.231 1.232 17.259 1.190 2011 8 15.639 0.427 0 0 15.639 0.427 15.893 0.611 2011 9 13.140 1.653 0 0 13.140 1.653 12.921 1.364 2011 10 8.269 1.483 0 0 8.269 1.483 8.137 1.280 2011 11 5.690 3.591 0 0 5.690 3.591 5.454 3.285 2011 12 2.429 3.872 1 0 NaN NaN 2.215 3.588 2012 1 NaN NaN NaN NaN NaN NaN -0.777 2.379 2012 2 NaN NaN NaN NaN NaN NaN -3.562 -0.498 2012 3 NaN NaN NaN NaN NaN NaN 4.262 4.121 2012 4 NaN NaN NaN NaN NaN NaN 5.232 0.428 2012 5 NaN NaN NaN NaN NaN NaN 12.540 1.884 2012 6 NaN NaN NaN NaN NaN NaN 13.515 -1.521 2012 7 NaN NaN NaN NaN NaN NaN 16.033 -0.036 2012 8 NaN NaN NaN NaN NaN NaN 15.768 0.486 2012 9 NaN NaN NaN NaN NaN NaN 11.786 0.229 2012 10 NaN NaN NaN NaN NaN NaN 6.711 -0.145 2012 11 NaN NaN NaN NaN NaN NaN 4.517 2.348 2012 12 NaN NaN NaN NaN NaN NaN -3.444 -2.071