% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174220 % Primary Name: VALLISAARI % Record Type: TAVG % Country: Finland % Latitude: 60.13310 +/- 0.00005 % Longitude: 25.00000 +/- 0.00005 % Elevation (m): 10.00 +/- 0.50 % # of Months: 77 % % IDs: ghcnd - FIE00142246 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 13e4e566d9e3f5d247027595feda7f91 % Raw Data Hash: c137743f9a2589e65c9a73cb40c51e42 % Adj Data Hash: 99b38ef0ccea1b08ace0915a267b6ab3 % % 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 1958 1 NaN NaN NaN NaN NaN NaN -7.294 -0.938 1958 2 NaN NaN NaN NaN NaN NaN -9.565 -2.074 1958 3 NaN NaN NaN NaN NaN NaN -8.097 -3.918 1958 4 NaN NaN NaN NaN NaN NaN -0.011 -1.460 1958 5 NaN NaN NaN NaN NaN NaN 6.969 -0.814 1958 6 NaN NaN NaN NaN NaN NaN 12.190 -1.288 1958 7 NaN NaN NaN NaN NaN NaN 14.420 -1.518 1958 8 NaN NaN NaN NaN NaN NaN 14.377 -0.997 1958 9 NaN NaN NaN NaN NaN NaN 10.767 0.007 1958 10 NaN NaN NaN NaN NaN NaN 7.281 1.526 1958 11 NaN NaN NaN NaN NaN NaN 4.255 3.086 1958 12 NaN NaN NaN NaN NaN NaN -4.906 -1.859 1959 1 -3.997 1.840 0 0 -3.997 1.840 -4.363 1.993 1959 2 -1.696 5.275 0 0 -1.696 5.275 -3.017 4.473 1959 3 0.898 4.558 0 0 0.898 4.558 -0.236 3.943 1959 4 3.625 1.657 0 0 3.625 1.657 3.017 1.568 1959 5 9.160 0.858 0 0 9.160 0.858 8.342 0.560 1959 6 14.588 0.592 0 0 14.588 0.592 14.252 0.774 1959 7 17.747 1.289 0 0 17.747 1.289 16.844 0.905 1959 8 17.769 1.876 0 0 17.769 1.876 16.761 1.387 1959 9 9.228 -2.051 0 0 9.228 -2.051 8.822 -1.938 1959 10 5.900 -0.375 1 0 NaN NaN 5.275 -0.481 1959 11 2.167 0.478 0 0 2.167 0.478 2.308 1.138 1959 12 -3.985 -1.458 0 0 -3.985 -1.458 -4.262 -1.216 1960 1 -8.500 -2.663 0 0 -8.500 -2.663 -8.851 -2.495 1960 2 -8.876 -1.905 0 0 -8.876 -1.905 -9.819 -2.328 1960 3 -5.624 -1.965 0 0 -5.624 -1.965 -5.445 -1.267 1960 4 0.808 -1.159 0 0 0.808 -1.159 0.824 -0.624 1960 5 9.266 0.964 0 0 9.266 0.964 9.292 1.510 1960 6 14.123 0.127 0 0 14.123 0.127 15.208 1.730 1960 7 17.505 1.047 0 0 17.505 1.047 17.318 1.379 1960 8 16.173 0.279 0 0 16.173 0.279 15.472 0.097 1960 9 11.925 0.646 0 0 11.925 0.646 10.426 -0.334 1960 10 5.132 -1.142 0 0 5.132 -1.142 4.053 -1.702 1960 11 0.552 -1.137 0 0 0.552 -1.137 0.452 -0.718 1960 12 0.544 3.071 0 0 0.544 3.071 0.876 3.923 1961 1 -2.626 3.211 0 0 -2.626 3.211 -2.846 3.510 1961 2 0.298 7.269 0 0 0.298 7.269 -0.822 6.669 1961 3 1.053 4.713 0 0 1.053 4.713 -0.176 4.003 1961 4 2.957 0.989 0 0 2.957 0.989 1.460 0.011 1961 5 8.850 0.548 0 0 8.850 0.548 8.500 0.718 1961 6 16.017 2.020 0 0 16.017 2.020 15.993 2.516 1961 7 15.515 -0.943 0 0 15.515 -0.943 15.110 -0.828 1961 8 14.910 -0.984 0 0 14.910 -0.984 14.429 -0.945 1961 9 11.207 -0.073 0 0 11.207 -0.073 10.016 -0.745 1961 10 9.653 3.379 0 0 9.653 3.379 9.407 3.652 1961 11 3.622 1.933 0 0 3.622 1.933 3.054 1.884 1961 12 -3.363 -0.835 0 0 -3.363 -0.835 -3.795 -0.748 1962 1 -3.002 2.835 0 0 -3.002 2.835 -2.977 3.379 1962 2 -4.621 2.350 0 0 -4.621 2.350 -5.683 1.807 1962 3 -7.623 -3.963 0 0 -7.623 -3.963 -8.666 -4.487 1962 4 3.187 1.219 0 0 3.187 1.219 3.290 1.842 1962 5 7.687 -0.615 0 0 7.687 -0.615 7.394 -0.388 1962 6 10.907 -3.090 0 0 10.907 -3.090 10.959 -2.519 1962 7 14.860 -1.598 0 0 14.860 -1.598 14.067 -1.872 1962 8 13.205 -2.689 0 0 13.205 -2.689 13.179 -2.195 1962 9 10.380 -0.899 0 0 10.380 -0.899 9.790 -0.970 1962 10 7.518 1.243 0 0 7.518 1.243 7.553 1.797 1962 11 2.553 0.865 0 0 2.553 0.865 2.961 1.792 1962 12 -4.826 -2.298 0 0 -4.826 -2.298 -5.346 -2.299 1963 1 -8.827 -2.991 0 0 -8.827 -2.991 -9.782 -3.426 1963 2 -10.423 -3.452 0 0 -10.423 -3.452 -11.841 -4.350 1963 3 -9.021 -5.361 0 0 -9.021 -5.361 -9.928 -5.750 1963 4 1.330 -0.638 0 0 1.330 -0.638 1.510 0.061 1963 5 11.013 2.711 0 0 11.013 2.711 11.389 3.607 1963 6 14.185 0.188 0 0 14.185 0.188 12.904 -0.574 1963 7 16.047 -0.411 0 0 16.047 -0.411 15.892 -0.047 1963 8 16.827 0.934 0 0 16.827 0.934 16.428 1.054 1963 9 13.767 2.487 0 0 13.767 2.487 13.003 2.243 1963 10 7.292 1.017 0 0 7.292 1.017 6.714 0.959 1963 11 1.515 -0.174 0 0 1.515 -0.174 1.316 0.147 1963 12 -2.597 -0.069 0 0 -2.597 -0.069 -3.560 -0.514 1964 1 -2.063 3.774 0 0 -2.063 3.774 -2.171 4.185 1964 2 -8.428 -1.456 0 0 -8.428 -1.456 -9.850 -2.360 1964 3 -4.989 -1.329 0 0 -4.989 -1.329 -5.853 -1.674 1964 4 1.665 -0.303 0 0 1.665 -0.303 2.092 0.644 1964 5 8.632 0.331 0 0 8.632 0.331 7.958 0.176 1964 6 13.492 -0.505 0 0 13.492 -0.505 13.617 0.139 1964 7 16.863 0.405 0 0 16.863 0.405 15.188 -0.751 1964 8 15.176 -0.718 0 0 15.176 -0.718 14.575 -0.799 1964 9 10.922 -0.358 0 0 10.922 -0.358 10.192 -0.568 1964 10 8.337 2.063 0 0 8.337 2.063 8.067 2.311 1964 11 1.005 -0.684 0 0 1.005 -0.684 0.703 -0.467 1964 12 -0.971 1.556 0 0 -0.971 1.556 -1.225 1.821 1965 1 -2.976 2.861 0 0 -2.976 2.861 -3.007 3.349 1965 2 -7.075 -0.104 0 0 -7.075 -0.104 -8.595 -1.105 1965 3 -3.676 -0.016 0 0 -3.676 -0.016 -4.613 -0.434 1965 4 2.760 0.792 0 0 2.760 0.792 2.045 0.596 1965 5 6.500 -1.802 0 0 6.500 -1.802 5.380 -2.402 1965 6 NaN NaN NaN NaN NaN NaN 13.913 0.435 1965 7 NaN NaN NaN NaN NaN NaN 13.317 -2.622 1965 8 NaN NaN NaN NaN NaN NaN 14.279 -1.095 1965 9 NaN NaN NaN NaN NaN NaN 12.708 1.948 1965 10 NaN NaN NaN NaN NaN NaN 6.322 0.566 1965 11 NaN NaN NaN NaN NaN NaN -2.886 -4.055 1965 12 NaN NaN NaN NaN NaN NaN -2.391 0.655 1966 1 NaN NaN NaN NaN NaN NaN -13.464 -7.108 1966 2 NaN NaN NaN NaN NaN NaN -14.201 -6.710 1966 3 NaN NaN NaN NaN NaN NaN -3.385 0.793 1966 4 NaN NaN NaN NaN NaN NaN -0.886 -2.335 1966 5 NaN NaN NaN NaN NaN NaN 8.162 0.379