% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174886 % Primary Name: STAVSJO % Record Type: TAVG % Country: Sweden % Latitude: 58.73000 +/- 0.00500 % Longitude: 16.37000 +/- 0.00500 % Elevation (m): 60.00 +/- 0.50 % # of Months: 32 % % IDs: ghcnd - SWE00135937 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 2c09e3043fe729aac5e4650f01330e38 % Raw Data Hash: 37c8cccd97a7496e0d67407fd673e91d % Adj Data Hash: 90776394b2f35ba51c27ea187edeecae % % 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 1992 7 NaN NaN NaN NaN NaN NaN 16.605 0.367 1992 8 NaN NaN NaN NaN NaN NaN 15.558 0.182 1992 9 NaN NaN NaN NaN NaN NaN 10.988 -0.341 1992 10 NaN NaN NaN NaN NaN NaN 3.643 -2.997 1992 11 NaN NaN NaN NaN NaN NaN 2.347 0.547 1992 12 NaN NaN NaN NaN NaN NaN 0.921 2.586 1993 1 NaN NaN NaN NaN NaN NaN -0.362 3.467 1993 2 NaN NaN NaN NaN NaN NaN -1.229 3.016 1993 3 NaN NaN NaN NaN NaN NaN 1.392 2.157 1993 4 NaN NaN NaN NaN NaN NaN 5.820 1.663 1993 5 NaN NaN NaN NaN NaN NaN 13.070 3.113 1993 6 NaN NaN NaN NaN NaN NaN 13.316 -1.553 1993 7 14.832 -0.626 0 0 14.832 -0.626 14.796 -1.442 1993 8 12.742 -1.855 0 0 12.742 -1.855 13.129 -2.247 1993 9 7.483 -3.067 0 0 7.483 -3.067 8.232 -3.097 1993 10 5.082 -0.778 0 0 5.082 -0.778 5.975 -0.664 1993 11 0.070 -0.951 0 0 0.070 -0.951 0.709 -1.091 1993 12 -1.011 1.432 0 0 -1.011 1.432 -0.392 1.272 1994 1 -1.940 2.668 0 0 -1.940 2.668 -1.791 2.039 1994 2 -8.286 -3.262 0 0 -8.286 -3.262 -8.179 -3.934 1994 3 0.165 1.708 0 0 0.165 1.708 0.808 1.573 1994 4 5.857 2.479 0 0 5.857 2.479 6.582 2.425 1994 5 7.855 -1.323 0 0 7.855 -1.323 9.770 -0.187 1994 6 13.062 -1.028 0 0 13.062 -1.028 13.975 -0.894 1994 7 18.426 2.967 0 0 18.426 2.967 19.687 3.449 1994 8 15.350 0.753 0 0 15.350 0.753 16.415 1.039 1994 9 11.213 0.663 0 0 11.213 0.663 11.252 -0.077 1994 10 5.018 -0.842 0 0 5.018 -0.842 6.128 -0.511 1994 11 2.112 1.090 0 0 2.112 1.090 3.160 1.360 1994 12 0.450 2.893 0 0 0.450 2.893 1.655 3.319 1995 1 -3.668 0.940 0 0 -3.668 0.940 -2.978 0.851 1995 2 0.232 5.256 0 0 0.232 5.256 0.142 4.387 1995 3 1.508 3.052 0 0 1.508 3.052 1.682 2.447 1995 4 3.645 0.267 0 0 3.645 0.267 4.167 0.010 1995 5 7.971 -1.207 0 0 7.971 -1.207 9.300 -0.657 1995 6 14.487 0.397 0 0 14.487 0.397 15.287 0.418 1995 7 15.946 0.488 1 0 NaN NaN 16.202 -0.035 1995 8 15.966 1.369 0 0 15.966 1.369 17.201 1.825 1995 9 10.712 0.161 0 0 10.712 0.161 11.127 -0.202 1995 10 8.173 2.312 0 0 8.173 2.312 9.701 3.062 1995 11 -1.087 -2.108 0 0 -1.087 -2.108 -0.021 -1.821 1995 12 -6.469 -4.026 0 0 -6.469 -4.026 -4.684 -3.019 1996 1 -4.831 -0.223 0 0 -4.831 -0.223 -4.350 -0.521 1996 2 -7.971 -2.947 1 0 NaN NaN -7.571 -3.326 1996 3 NaN NaN NaN NaN NaN NaN -0.934 -0.170 1996 4 NaN NaN NaN NaN NaN NaN 5.711 1.555 1996 5 NaN NaN NaN NaN NaN NaN 8.347 -1.610 1996 6 NaN NaN NaN NaN NaN NaN 14.754 -0.115 1996 7 NaN NaN NaN NaN NaN NaN 14.559 -1.679 1996 8 NaN NaN NaN NaN NaN NaN 17.613 2.237 1996 9 NaN NaN NaN NaN NaN NaN 9.388 -1.941 1996 10 NaN NaN NaN NaN NaN NaN 8.207 1.568 1996 11 NaN NaN NaN NaN NaN NaN 2.943 1.143 1996 12 NaN NaN NaN NaN NaN NaN -3.572 -1.908 1997 1 NaN NaN NaN NaN NaN NaN -2.673 1.157 1997 2 NaN NaN NaN NaN NaN NaN -0.775 3.470