% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 174879 % Primary Name: VASTRA_NY % Record Type: TAVG % Country: Sweden % Latitude: 58.65000 +/- 0.00500 % Longitude: 15.05000 +/- 0.00500 % Elevation (m): 120.00 +/- 0.50 % # of Months: 68 % % IDs: ghcnd - SWE00138586 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: daa8fe253bc9d498ac561b81670cf2de % Raw Data Hash: 0e91e38196de81e89bf8b1cd621922a2 % Adj Data Hash: 259efb17701f54e99fe380757fae057a % % 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 -4.190 -0.361 1960 2 NaN NaN NaN NaN NaN NaN -5.986 -1.741 1960 3 NaN NaN NaN NaN NaN NaN -0.426 0.338 1960 4 NaN NaN NaN NaN NaN NaN 4.172 0.015 1960 5 NaN NaN NaN NaN NaN NaN 10.865 0.908 1960 6 NaN NaN NaN NaN NaN NaN 16.044 1.175 1960 7 NaN NaN NaN NaN NaN NaN 15.113 -1.125 1960 8 NaN NaN NaN NaN NaN NaN 14.763 -0.613 1960 9 NaN NaN NaN NaN NaN NaN 11.142 -0.187 1960 10 NaN NaN NaN NaN NaN NaN 5.579 -1.060 1960 11 NaN NaN NaN NaN NaN NaN 2.711 0.910 1960 12 NaN NaN NaN NaN NaN NaN 0.447 2.111 1961 1 -3.792 0.310 0 0 -3.792 0.310 -3.318 0.511 1961 2 0.452 4.969 0 0 0.452 4.969 0.390 4.635 1961 3 3.298 4.335 0 0 3.298 4.335 4.157 4.922 1961 4 5.290 1.406 0 0 5.290 1.406 5.553 1.396 1961 5 9.331 -0.354 0 0 9.331 -0.354 9.694 -0.263 1961 6 16.503 1.907 0 0 16.503 1.907 16.343 1.474 1961 7 15.885 -0.080 0 0 15.885 -0.080 15.255 -0.982 1961 8 14.898 -0.205 0 0 14.898 -0.205 14.448 -0.928 1961 9 12.213 1.156 0 0 12.213 1.156 12.287 0.958 1961 10 10.376 4.009 0 0 10.376 4.009 10.896 4.257 1961 11 2.613 1.085 0 0 2.613 1.085 3.197 1.397 1961 12 -3.910 -1.973 0 0 -3.910 -1.973 -3.398 -1.734 1962 1 -1.605 2.497 0 0 -1.605 2.497 -1.317 2.513 1962 2 NaN NaN NaN NaN NaN NaN -2.674 1.571 1962 3 NaN NaN NaN NaN NaN NaN -4.930 -4.166 1962 4 4.857 0.972 0 0 4.857 0.972 4.861 0.704 1962 5 8.158 -1.527 0 0 8.158 -1.527 8.290 -1.667 1962 6 13.292 -1.305 0 0 13.292 -1.305 13.649 -1.220 1962 7 14.274 -1.691 0 0 14.274 -1.691 13.779 -2.458 1962 8 13.360 -1.744 0 0 13.360 -1.744 13.282 -2.094 1962 9 10.102 -0.955 0 0 10.102 -0.955 9.877 -1.452 1962 10 6.623 0.256 0 0 6.623 0.256 8.008 1.369 1962 11 0.060 -1.468 0 0 0.060 -1.468 1.323 -0.477 1962 12 -4.602 -2.665 0 0 -4.602 -2.665 -3.938 -2.274 1963 1 -9.784 -5.682 0 0 -9.784 -5.682 -9.434 -5.604 1963 2 -8.296 -3.779 0 0 -8.296 -3.779 -8.559 -4.314 1963 3 -4.002 -2.965 0 0 -4.002 -2.965 -3.348 -2.583 1963 4 3.632 -0.253 0 0 3.632 -0.253 3.985 -0.172 1963 5 11.361 1.677 0 0 11.361 1.677 11.579 1.622 1963 6 15.247 0.650 0 0 15.247 0.650 15.252 0.383 1963 7 16.815 0.849 0 0 16.815 0.849 15.986 -0.251 1963 8 15.692 0.588 0 0 15.692 0.588 15.373 -0.003 1963 9 12.110 1.053 0 0 12.110 1.053 11.740 0.411 1963 10 6.815 0.448 0 0 6.815 0.448 7.577 0.938 1963 11 2.077 0.549 0 0 2.077 0.549 2.798 0.998 1963 12 -2.689 -0.752 0 0 -2.689 -0.752 -2.119 -0.454 1964 1 -2.174 1.927 0 0 -2.174 1.927 -1.288 2.542 1964 2 -4.981 -0.464 1 0 NaN NaN -4.724 -0.479 1964 3 -0.905 0.132 0 0 -0.905 0.132 -1.510 -0.745 1964 4 5.753 1.869 0 0 5.753 1.869 6.017 1.861 1964 5 11.435 1.751 0 0 11.435 1.751 11.586 1.629 1964 6 14.467 -0.130 0 0 14.467 -0.130 14.684 -0.185 1964 7 15.666 -0.299 0 0 15.666 -0.299 14.918 -1.319 1964 8 15.052 -0.052 0 0 15.052 -0.052 14.478 -0.898 1964 9 10.167 -0.890 0 0 10.167 -0.890 10.661 -0.668 1964 10 5.545 -0.822 0 0 5.545 -0.822 6.637 -0.002 1964 11 2.083 0.555 0 0 2.083 0.555 2.725 0.925 1964 12 -1.526 0.411 0 0 -1.526 0.411 -0.814 0.850 1965 1 NaN NaN NaN NaN NaN NaN -1.601 2.229 1965 2 -4.554 -0.036 0 0 -4.554 -0.036 -4.677 -0.432 1965 3 -2.155 -1.118 0 0 -2.155 -1.118 -1.290 -0.525 1965 4 4.938 1.054 0 0 4.938 1.054 5.113 0.957 1965 5 7.348 -2.336 0 0 7.348 -2.336 8.103 -1.854 1965 6 14.452 -0.145 0 0 14.452 -0.145 15.010 0.141 1965 7 13.648 -2.317 0 0 13.648 -2.317 13.429 -2.809 1965 8 15.910 0.806 0 0 15.910 0.806 14.005 -1.371 1965 9 11.587 0.530 0 0 11.587 0.530 12.009 0.680 1965 10 7.526 1.159 0 0 7.526 1.159 8.037 1.398 1965 11 -2.723 -4.251 0 0 -2.723 -4.251 -2.118 -3.918 1965 12 -7.316 -5.380 0 0 -7.316 -5.380 -5.186 -3.521 1966 1 -7.958 -3.857 0 0 -7.958 -3.857 -7.576 -3.747 1966 2 -10.618 -6.101 0 0 -10.618 -6.101 -10.733 -6.488 1966 3 NaN NaN NaN NaN NaN NaN -0.299 0.466 1966 4 0.612 -3.273 0 0 0.612 -3.273 1.258 -2.899 1966 5 9.926 0.241 0 0 9.926 0.241 10.500 0.543 1966 6 15.413 0.817 0 0 15.413 0.817 16.549 1.680 1966 7 16.539 0.573 0 0 16.539 0.573 16.069 -0.168 1966 8 14.297 -0.807 0 0 14.297 -0.807 14.413 -0.963 1966 9 10.342 -0.715 0 0 10.342 -0.715 10.501 -0.828 1966 10 5.842 -0.525 0 0 5.842 -0.525 6.407 -0.232 1966 11 1.458 -0.070 0 0 1.458 -0.070 2.146 0.346 1966 12 -1.850 0.087 0 0 -1.850 0.087 -1.094 0.571 1967 1 NaN NaN NaN NaN NaN NaN -5.773 -1.943 1967 2 NaN NaN NaN NaN NaN NaN -1.808 2.437 1967 3 NaN NaN NaN NaN NaN NaN 3.701 4.466 1967 4 NaN NaN NaN NaN NaN NaN 4.651 0.494 1967 5 NaN NaN NaN NaN NaN NaN 9.890 -0.067 1967 6 NaN NaN NaN NaN NaN NaN 14.164 -0.705 1967 7 NaN NaN NaN NaN NaN NaN 15.975 -0.263 1967 8 NaN NaN NaN NaN NaN NaN 15.576 0.200 1967 9 NaN NaN NaN NaN NaN NaN 11.705 0.376 1967 10 NaN NaN NaN NaN NaN NaN 8.826 2.187 1967 11 NaN NaN NaN NaN NaN NaN 4.116 2.316 1967 12 NaN NaN NaN NaN NaN NaN -4.157 -2.493