% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 168986 % Primary Name: SPASSK DALNIY % Record Type: TAVG % Country: Russia % Latitude: 44.60000 +/- 0.00050 % Longitude: 132.81700 +/- 0.00050 % Elevation (m): 96.00 +/- 0.05 % # of Months: 68 % % IDs: ghcnd - RSM00031926 % gsod - 319260-99999 % usaf - 319260 % wmo - 31926 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % % Site Hash: 5753af76517348d47029944cb57444fe % Raw Data Hash: ed5530229ec2293870ecf8e58bfeda9c % Adj Data Hash: 6f131eb09e99ad25d8e9453cfa114026 % % 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 1952 2 NaN NaN NaN NaN NaN NaN -16.863 -3.063 1952 3 NaN NaN NaN NaN NaN NaN -3.835 0.525 1952 4 NaN NaN NaN NaN NaN NaN 5.749 0.752 1952 5 NaN NaN NaN NaN NaN NaN 13.657 1.655 1952 6 NaN NaN NaN NaN NaN NaN 16.656 0.314 1952 7 NaN NaN NaN NaN NaN NaN 20.287 -0.077 1952 8 NaN NaN NaN NaN NaN NaN 20.873 0.622 1952 9 NaN NaN NaN NaN NaN NaN 13.402 -0.828 1952 10 NaN NaN NaN NaN NaN NaN 7.239 1.041 1952 11 NaN NaN NaN NaN NaN NaN -6.412 -1.998 1952 12 NaN NaN NaN NaN NaN NaN -16.768 -2.768 1953 1 NaN NaN NaN NaN NaN NaN -18.810 -1.282 1953 2 -19.300 -6.104 1 0 NaN NaN -13.560 0.240 1953 3 -4.297 -0.542 1 0 NaN NaN -2.705 1.654 1953 4 5.172 -0.428 1 0 NaN NaN 5.159 0.162 1953 5 12.536 -0.069 1 0 NaN NaN 11.411 -0.590 1953 6 18.031 1.085 1 0 NaN NaN 16.511 0.169 1953 7 22.583 1.615 1 0 NaN NaN 20.129 -0.235 1953 8 20.990 0.135 1 0 NaN NaN 19.680 -0.571 1953 9 15.714 0.879 1 0 NaN NaN 13.352 -0.879 1953 10 8.792 1.990 1 0 NaN NaN 7.982 1.784 1953 11 -7.163 -3.353 1 0 NaN NaN -7.322 -2.908 1953 12 -13.115 0.282 1 0 NaN NaN -11.960 2.041 1954 1 -19.354 -2.429 1 0 NaN NaN -17.190 0.339 1954 2 -6.613 6.584 1 0 NaN NaN -12.092 1.709 1954 3 -9.535 -5.780 1 0 NaN NaN -6.117 -1.758 1954 4 5.582 -0.018 1 0 NaN NaN 5.826 0.830 1954 5 11.411 -1.194 1 0 NaN NaN 10.996 -1.005 1954 6 16.611 -0.335 1 0 NaN NaN 13.817 -2.525 1954 7 20.109 -0.858 1 0 NaN NaN 18.336 -2.027 1954 8 21.280 0.425 0 0 21.280 0.425 20.191 -0.060 1954 9 15.869 1.034 1 0 NaN NaN 13.920 -0.311 1954 10 6.072 -0.730 1 0 NaN NaN 5.826 -0.372 1954 11 -3.008 0.801 1 0 NaN NaN -3.110 1.304 1954 12 NaN NaN NaN NaN NaN NaN -16.307 -2.306 1955 1 -13.611 3.313 1 0 NaN NaN -16.514 1.014 1955 2 NaN NaN NaN NaN NaN NaN -16.130 -2.330 1955 3 NaN NaN NaN NaN NaN NaN -7.296 -2.937 1955 4 8.050 2.449 1 0 NaN NaN 4.239 -0.758 1955 5 12.613 0.008 1 0 NaN NaN 11.206 -0.796 1955 6 17.257 0.311 1 0 NaN NaN 15.825 -0.517 1955 7 23.253 2.286 1 0 NaN NaN 22.012 1.648 1955 8 23.610 2.755 1 0 NaN NaN 21.860 1.609 1955 9 16.241 1.406 1 0 NaN NaN 14.204 -0.027 1955 10 5.078 -1.724 1 0 NaN NaN 6.502 0.304 1955 11 -4.429 -0.619 1 0 NaN NaN -3.002 1.412 1955 12 -9.668 3.728 1 0 NaN NaN -9.048 4.953 1956 1 -18.686 -1.762 0 2 -18.686 -1.762 -18.449 -0.920 1956 2 -17.000 -3.804 0 0 -17.000 -3.804 -16.082 -2.282 1956 3 -6.555 -2.800 1 0 NaN NaN -5.593 -1.233 1956 4 5.583 -0.017 0 0 5.583 -0.017 4.666 -0.330 1956 5 14.629 2.024 0 0 14.629 2.024 13.132 1.131 1956 6 16.566 -0.380 0 0 16.566 -0.380 15.040 -1.302 1956 7 19.659 -1.308 0 0 19.659 -1.308 18.132 -2.231 1956 8 20.268 -0.587 1 0 NaN NaN 19.691 -0.560 1956 9 15.518 0.683 1 0 NaN NaN 14.973 0.742 1956 10 7.038 0.235 1 0 NaN NaN 7.447 1.249 1956 11 -8.341 -4.531 1 0 NaN NaN -7.510 -3.096 1956 12 -20.199 -6.802 1 0 NaN NaN -18.012 -4.011 1957 1 -17.929 -1.005 1 0 NaN NaN -15.361 2.168 1957 2 -15.980 -2.783 0 0 -15.980 -2.783 -16.339 -2.539 1957 3 -8.560 -4.805 0 0 -8.560 -4.805 -7.955 -3.596 1957 4 6.515 0.914 0 0 6.515 0.914 5.806 0.810 1957 5 13.923 1.318 0 0 13.923 1.318 12.927 0.926 1957 6 17.238 0.293 1 0 NaN NaN 15.385 -0.956 1957 7 21.417 0.450 1 0 NaN NaN 19.271 -1.092 1957 8 21.153 0.298 1 0 NaN NaN 19.301 -0.950 1957 9 14.138 -0.697 1 0 NaN NaN 12.086 -2.145 1957 10 8.346 1.544 1 0 NaN NaN 6.825 0.627 1957 11 -0.320 3.490 0 0 -0.320 3.490 -1.371 3.043 1957 12 -11.634 1.763 0 0 -11.634 1.763 -12.687 1.314 1958 1 -19.360 -2.436 1 0 NaN NaN -17.818 -0.290 1958 2 -14.085 -0.889 0 0 -14.085 -0.889 -13.449 0.351 1958 3 -5.588 -1.833 0 0 -5.588 -1.833 -6.321 -1.962 1958 4 4.573 -1.027 1 0 NaN NaN 4.383 -0.614 1958 5 11.794 -0.811 1 0 NaN NaN 11.891 -0.110 1958 6 17.790 0.844 1 0 NaN NaN 16.481 0.139 1958 7 22.736 1.768 1 0 NaN NaN 21.362 0.999 1958 8 21.552 0.697 1 0 NaN NaN 19.696 -0.555 1958 9 14.621 -0.213 1 0 NaN NaN 13.902 -0.328 1958 10 4.827 -1.975 1 0 NaN NaN 6.032 -0.166 1958 11 -2.995 0.814 1 0 NaN NaN -2.583 1.831 1958 12 -14.219 -0.823 1 0 NaN NaN -11.156 2.845 1959 1 NaN NaN NaN NaN NaN NaN -17.690 -0.162 1959 2 NaN NaN NaN NaN NaN NaN -9.812 3.988 1959 3 NaN NaN NaN NaN NaN NaN -0.189 4.171 1959 4 NaN NaN NaN NaN NaN NaN 5.943 0.946 1959 5 NaN NaN NaN NaN NaN NaN 13.175 1.174 1959 6 NaN NaN NaN NaN NaN NaN 15.325 -1.017 1959 7 NaN NaN NaN NaN NaN NaN 19.032 -1.331 1959 8 NaN NaN NaN NaN NaN NaN 20.813 0.562 1959 9 NaN NaN NaN NaN NaN NaN 14.804 0.573 1959 10 NaN NaN NaN NaN NaN NaN 8.218 2.020 1959 11 NaN NaN NaN NaN NaN NaN -4.812 -0.398 1959 12 NaN NaN NaN NaN NaN NaN -13.837 0.164