% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174997 % Primary Name: STANGFALLET % Record Type: TAVG % Country: Sweden % Latitude: 59.95000 +/- 0.00500 % Longitude: 14.88000 +/- 0.00500 % Elevation (m): 205.00 +/- 0.50 % # of Months: 73 % % IDs: ghcnd - SWE00139198 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 767e47a17ea67daab1a6ab8a723f6458 % Raw Data Hash: df4810fb02a7f865dc0736ceed1a2dd5 % Adj Data Hash: 0b0938436083c46034e93fecf5f33de0 % % 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 1960 1 NaN NaN NaN NaN NaN NaN -6.632 -0.596 1960 2 NaN NaN NaN NaN NaN NaN -8.074 -2.077 1960 3 NaN NaN NaN NaN NaN NaN -1.462 0.449 1960 4 NaN NaN NaN NaN NaN NaN 3.338 0.240 1960 5 NaN NaN NaN NaN NaN NaN 10.470 1.295 1960 6 NaN NaN NaN NaN NaN NaN 15.871 1.403 1960 7 NaN NaN NaN NaN NaN NaN 15.243 -0.617 1960 8 NaN NaN NaN NaN NaN NaN 14.196 -0.406 1960 9 NaN NaN NaN NaN NaN NaN 10.149 -0.010 1960 10 NaN NaN NaN NaN NaN NaN 3.534 -1.508 1960 11 NaN NaN NaN NaN NaN NaN 0.560 0.900 1960 12 NaN NaN NaN NaN NaN NaN -1.567 2.477 1961 1 -5.897 0.493 0 0 -5.897 0.493 -5.630 0.405 1961 2 -1.293 5.058 0 0 -1.293 5.058 -1.747 4.250 1961 3 2.094 4.359 0 0 2.094 4.359 2.782 4.693 1961 4 3.880 1.136 0 0 3.880 1.136 4.350 1.252 1961 5 8.492 -0.330 0 0 8.492 -0.330 9.164 -0.011 1961 6 14.732 0.617 0 0 14.732 0.617 15.986 1.518 1961 7 14.545 -0.961 0 0 14.545 -0.961 15.023 -0.837 1961 8 12.806 -1.442 0 0 12.806 -1.442 13.470 -1.132 1961 9 10.692 0.887 0 0 10.692 0.887 11.006 0.847 1961 10 8.874 4.186 0 0 8.874 4.186 9.357 4.315 1961 11 0.522 1.215 0 0 0.522 1.215 1.443 1.783 1961 12 -7.611 -3.213 0 0 -7.611 -3.213 -6.372 -2.328 1962 1 -4.500 1.890 0 0 -4.500 1.890 -4.006 2.030 1962 2 -3.732 2.619 0 0 -3.732 2.619 -4.342 1.656 1962 3 -5.558 -3.293 0 0 -5.558 -3.293 -6.136 -4.225 1962 4 3.563 0.819 0 0 3.563 0.819 3.817 0.719 1962 5 6.679 -2.143 0 0 6.679 -2.143 7.459 -1.716 1962 6 11.978 -2.136 0 0 11.978 -2.136 13.200 -1.268 1962 7 12.971 -2.535 0 0 12.971 -2.535 13.488 -2.371 1962 8 11.971 -2.278 0 0 11.971 -2.278 12.457 -2.146 1962 9 8.977 -0.828 0 0 8.977 -0.828 9.004 -1.155 1962 10 5.690 1.002 0 0 5.690 1.002 6.485 1.443 1962 11 -1.487 -0.793 0 0 -1.487 -0.793 -0.752 -0.412 1962 12 -7.195 -2.797 0 0 -7.195 -2.797 -6.748 -2.704 1963 1 -9.748 -3.359 0 0 -9.748 -3.359 -10.242 -4.206 1963 2 -9.464 -3.113 0 0 -9.464 -3.113 -10.995 -4.998 1963 3 -4.021 -1.756 0 0 -4.021 -1.756 -4.529 -2.618 1963 4 3.165 0.421 0 0 3.165 0.421 3.117 0.020 1963 5 10.866 2.044 0 0 10.866 2.044 11.177 2.001 1963 6 13.765 -0.349 0 0 13.765 -0.349 14.511 0.043 1963 7 15.168 -0.338 0 0 15.168 -0.338 15.338 -0.522 1963 8 14.510 0.261 0 0 14.510 0.261 15.007 0.405 1963 9 10.392 0.587 0 0 10.392 0.587 10.829 0.670 1963 10 5.816 1.128 0 0 5.816 1.128 6.005 0.963 1963 11 -0.610 0.083 0 0 -0.610 0.083 0.115 0.454 1963 12 -4.331 0.067 0 0 -4.331 0.067 -3.464 0.580 1964 1 -2.997 3.393 0 0 -2.997 3.393 -2.924 3.112 1964 2 -5.245 1.106 1 0 NaN NaN -5.876 0.121 1964 3 -2.126 0.139 0 0 -2.126 0.139 -2.462 -0.551 1964 4 5.100 2.356 0 0 5.100 2.356 4.906 1.808 1964 5 10.269 1.448 0 0 10.269 1.448 10.729 1.554 1964 6 12.175 -1.939 0 0 12.175 -1.939 13.853 -0.616 1964 7 13.906 -1.599 0 0 13.906 -1.599 14.215 -1.644 1964 8 13.060 -1.189 0 0 13.060 -1.189 13.240 -1.363 1964 9 9.245 -0.560 0 0 9.245 -0.560 9.578 -0.581 1964 10 4.540 -0.148 0 0 4.540 -0.148 5.474 0.433 1964 11 0.113 0.807 0 0 0.113 0.807 0.223 0.562 1964 12 -2.189 2.209 1 0 NaN NaN -3.615 0.429 1965 1 -3.850 2.540 0 0 -3.850 2.540 -3.410 2.626 1965 2 -4.609 1.742 0 0 -4.609 1.742 -5.429 0.568 1965 3 -2.294 -0.029 0 0 -2.294 -0.029 -2.166 -0.255 1965 4 3.475 0.731 0 0 3.475 0.731 4.012 0.914 1965 5 7.244 -1.578 0 0 7.244 -1.578 7.670 -1.505 1965 6 13.277 -0.838 0 0 13.277 -0.838 14.375 -0.093 1965 7 13.089 -2.417 0 0 13.089 -2.417 13.377 -2.482 1965 8 12.694 -1.555 0 0 12.694 -1.555 13.166 -1.437 1965 9 10.915 1.110 0 0 10.915 1.110 11.275 1.116 1965 10 5.966 1.278 0 0 5.966 1.278 6.438 1.396 1965 11 -4.702 -4.008 0 0 -4.702 -4.008 -4.577 -4.238 1965 12 -8.895 -4.497 0 0 -8.895 -4.497 -8.453 -4.409 1966 1 -10.182 -3.793 0 0 -10.182 -3.793 -10.794 -4.758 1966 2 -12.907 -6.556 0 0 -12.907 -6.556 -14.360 -8.363 1966 3 -1.998 0.267 0 0 -1.998 0.267 -1.901 0.010 1966 4 0.203 -2.541 0 0 0.203 -2.541 0.178 -2.919 1966 5 9.074 0.252 0 0 9.074 0.252 9.558 0.382 1966 6 15.533 1.419 0 0 15.533 1.419 16.651 2.182 1966 7 15.405 -0.101 0 0 15.405 -0.101 16.168 0.309 1966 8 13.366 -0.882 0 0 13.366 -0.882 13.697 -0.905 1966 9 8.878 -0.927 0 0 8.878 -0.927 9.106 -1.052 1966 10 3.984 -0.704 0 0 3.984 -0.704 4.677 -0.365 1966 11 0.005 0.698 0 0 0.005 0.698 0.813 1.153 1966 12 -4.242 0.156 0 0 -4.242 0.156 -2.638 1.406 1967 1 -9.876 -3.486 0 0 -9.876 -3.486 -9.234 -3.198 1967 2 NaN NaN NaN NaN NaN NaN -3.525 2.472 1967 3 NaN NaN NaN NaN NaN NaN 2.431 4.342 1967 4 NaN NaN NaN NaN NaN NaN 3.823 0.726 1967 5 NaN NaN NaN NaN NaN NaN 8.698 -0.477 1967 6 NaN NaN NaN NaN NaN NaN 13.909 -0.559 1967 7 NaN NaN NaN NaN NaN NaN 15.772 -0.087 1967 8 NaN NaN NaN NaN NaN NaN 14.926 0.324 1967 9 NaN NaN NaN NaN NaN NaN 10.974 0.816 1967 10 NaN NaN NaN NaN NaN NaN 6.760 1.718 1967 11 NaN NaN NaN NaN NaN NaN 2.785 3.124 1967 12 NaN NaN NaN NaN NaN NaN -7.127 -3.083 1968 1 NaN NaN NaN NaN NaN NaN -10.291 -4.255