% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 175072 % Primary Name: NOPPIKOSKI % Record Type: TAVG % Country: Sweden % Latitude: 61.50000 +/- 0.00500 % Longitude: 14.85000 +/- 0.00500 % Elevation (m): 340.00 +/- 0.50 % # of Months: 33 % % IDs: ghcnd - SWE00139628 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 32c1dcc7683822cbbe42a832823da542 % Raw Data Hash: 85d0fc6867e99181369ebc399e55dcd0 % Adj Data Hash: 85d0fc6867e99181369ebc399e55dcd0 % % 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 1964 1 NaN NaN NaN NaN NaN NaN -5.662 4.607 1964 2 NaN NaN NaN NaN NaN NaN -8.815 0.477 1964 3 NaN NaN NaN NaN NaN NaN -3.807 0.464 1964 4 NaN NaN NaN NaN NaN NaN 2.888 2.023 1964 5 NaN NaN NaN NaN NaN NaN 8.443 1.533 1964 6 NaN NaN NaN NaN NaN NaN 11.788 -0.504 1964 7 NaN NaN NaN NaN NaN NaN 12.028 -1.781 1964 8 NaN NaN NaN NaN NaN NaN 10.806 -1.612 1964 9 NaN NaN NaN NaN NaN NaN 7.181 -0.673 1964 10 NaN NaN NaN NaN NaN NaN 3.727 1.181 1964 11 NaN NaN NaN NaN NaN NaN -3.369 0.332 1964 12 NaN NaN NaN NaN NaN NaN -7.164 0.833 1965 1 -7.953 2.427 0 0 -7.953 2.427 -8.197 2.073 1965 2 -7.666 1.737 0 0 -7.666 1.737 -7.213 2.079 1965 3 -4.895 -0.514 0 0 -4.895 -0.514 -4.109 0.161 1965 4 2.077 1.322 0 0 2.077 1.322 2.258 1.393 1965 5 5.105 -1.694 0 0 5.105 -1.694 5.491 -1.419 1965 6 11.513 -0.667 0 0 11.513 -0.667 12.277 -0.015 1965 7 11.405 -2.293 0 0 11.405 -2.293 11.587 -2.222 1965 8 10.731 -1.576 0 0 10.731 -1.576 10.973 -1.445 1965 9 9.147 1.404 0 0 9.147 1.404 9.039 1.185 1965 10 4.377 1.943 0 0 4.377 1.943 4.337 1.791 1965 11 -7.387 -3.575 0 0 -7.387 -3.575 -7.528 -3.827 1965 12 -15.215 -7.106 0 0 -15.215 -7.106 -14.235 -6.237 1966 1 -16.156 -5.776 0 0 -16.156 -5.776 -16.776 -6.507 1966 2 -17.005 -7.603 0 0 -17.005 -7.603 -18.238 -8.947 1966 3 -5.147 -0.765 0 0 -5.147 -0.765 -5.329 -1.059 1966 4 -2.610 -3.364 0 0 -2.610 -3.364 -2.178 -3.044 1966 5 7.379 0.580 0 0 7.379 0.580 7.014 0.105 1966 6 13.822 1.641 0 0 13.822 1.641 14.704 2.412 1966 7 14.031 0.332 0 0 14.031 0.332 13.961 0.152 1966 8 11.639 -0.668 0 0 11.639 -0.668 11.598 -0.819 1966 9 6.547 -1.196 0 0 6.547 -1.196 6.620 -1.234 1966 10 2.234 -0.201 0 0 2.234 -0.201 2.467 -0.079 1966 11 -1.938 1.874 0 0 -1.938 1.874 -2.539 1.163 1966 12 -6.361 1.747 0 0 -6.361 1.747 -6.265 1.733 1967 1 -15.261 -4.881 0 0 -15.261 -4.881 -14.447 -4.177 1967 2 -5.007 4.396 0 0 -5.007 4.396 -6.080 3.211 1967 3 -0.506 3.875 0 0 -0.506 3.875 -0.082 4.189 1967 4 0.702 -0.053 0 0 0.702 -0.053 1.088 0.223 1967 5 5.719 -1.079 0 0 5.719 -1.079 6.153 -0.757 1967 6 10.852 -1.329 0 0 10.852 -1.329 11.724 -0.568 1967 7 13.616 -0.082 0 0 13.616 -0.082 13.500 -0.309 1967 8 12.869 0.562 0 0 12.869 0.562 12.784 0.366 1967 9 9.175 1.432 0 0 9.175 1.432 9.130 1.276 1967 10 NaN NaN NaN NaN NaN NaN 3.666 1.120 1967 11 NaN NaN NaN NaN NaN NaN 0.057 3.758 1967 12 NaN NaN NaN NaN NaN NaN -11.091 -3.093 1968 1 NaN NaN NaN NaN NaN NaN -14.221 -3.951 1968 2 NaN NaN NaN NaN NaN NaN -10.491 -1.199 1968 3 NaN NaN NaN NaN NaN NaN -2.279 1.992 1968 4 NaN NaN NaN NaN NaN NaN 2.854 1.989 1968 5 NaN NaN NaN NaN NaN NaN 5.267 -1.643 1968 6 NaN NaN NaN NaN NaN NaN 14.287 1.996 1968 7 NaN NaN NaN NaN NaN NaN 13.134 -0.675 1968 8 NaN NaN NaN NaN NaN NaN 12.466 0.048 1968 9 NaN NaN NaN NaN NaN NaN 7.700 -0.154