% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 21927 % Primary Name: SUKHAYA TUNGUSKA % Record Type: TAVG % Country: Russia % Latitude: 65.16700 +/- 0.00050 % Longitude: 87.91700 +/- 0.00050 % Elevation (m): 27.00 +/- 0.05 % # of Months: 30 % % IDs: gsod - 234750-99999 % usaf - 234750 % % Sources: Global Summary of the Day % % Site Hash: 5e91aa5b737451cb0ed11a04e50084c2 % Raw Data Hash: e2737b5e6b2d2324e6c24867eba3d033 % Adj Data Hash: b25e4b8aca3d7e702385a9ebf2cb7217 % % 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 1968 1 NaN NaN NaN NaN NaN NaN -28.025 -1.653 1968 2 NaN NaN NaN NaN NaN NaN -20.084 4.813 1968 3 NaN NaN NaN NaN NaN NaN -6.180 9.536 1968 4 NaN NaN NaN NaN NaN NaN -6.200 0.993 1968 5 NaN NaN NaN NaN NaN NaN -0.599 -1.292 1968 6 NaN NaN NaN NaN NaN NaN 7.961 -3.170 1968 7 NaN NaN NaN NaN NaN NaN 18.049 0.884 1968 8 NaN NaN NaN NaN NaN NaN 10.471 -2.219 1968 9 NaN NaN NaN NaN NaN NaN 4.328 -2.118 1968 10 NaN NaN NaN NaN NaN NaN -4.261 1.159 1968 11 NaN NaN NaN NaN NaN NaN -31.307 -12.635 1968 12 NaN NaN NaN NaN NaN NaN -33.898 -9.429 1969 1 -33.588 -9.273 0 0 -33.588 -9.273 -35.741 -9.369 1969 2 -29.411 -6.570 0 0 -29.411 -6.570 -38.519 -13.622 1969 3 -15.575 -1.916 0 0 -15.575 -1.916 -17.713 -1.997 1969 4 -7.013 -1.877 0 0 -7.013 -1.877 -9.085 -1.893 1969 5 -2.439 -5.188 0 0 -2.439 -5.188 -1.108 -1.801 1969 6 10.139 -3.049 0 0 10.139 -3.049 10.541 -0.591 1969 7 19.002 -0.220 0 0 19.002 -0.220 20.289 3.124 1969 8 9.869 -4.877 0 0 9.869 -4.877 9.580 -3.110 1969 9 5.770 -2.733 0 0 5.770 -2.733 4.830 -1.616 1969 10 -5.667 -2.303 0 0 -5.667 -2.303 -6.799 -1.379 1969 11 -6.951 9.665 0 0 -6.951 9.665 -11.119 7.554 1969 12 -18.746 3.666 0 0 -18.746 3.666 -21.416 3.053 1970 1 -26.202 -1.887 0 0 -26.202 -1.887 -27.452 -1.080 1970 2 -20.076 2.765 0 0 -20.076 2.765 -26.005 -1.108 1970 3 -10.585 3.074 0 0 -10.585 3.074 -14.651 1.065 1970 4 -5.839 -0.703 0 0 -5.839 -0.703 -7.574 -0.381 1970 5 -1.778 -4.527 0 0 -1.778 -4.527 -3.592 -4.285 1970 6 8.585 -4.603 0 0 8.585 -4.603 8.545 -2.587 1970 7 15.586 -3.635 0 0 15.586 -3.635 18.535 1.370 1970 8 10.217 -4.530 0 0 10.217 -4.530 9.099 -3.591 1970 9 9.913 1.410 0 0 9.913 1.410 8.288 1.842 1970 10 -4.726 -1.363 0 0 -4.726 -1.363 -6.745 -1.325 1970 11 -15.378 1.238 0 0 -15.378 1.238 -18.671 0.001 1970 12 -20.327 2.085 0 0 -20.327 2.085 -22.703 1.766 1971 1 -20.448 3.867 0 0 -20.448 3.867 -24.801 1.570 1971 2 -28.039 -5.198 0 0 -28.039 -5.198 -32.650 -7.753 1971 3 -13.973 -0.314 0 0 -13.973 -0.314 -17.119 -1.403 1971 4 -7.148 -2.011 0 0 -7.148 -2.011 -8.654 -1.462 1971 5 1.356 -1.393 1 0 NaN NaN 2.216 1.523 1971 6 16.266 3.078 1 0 NaN NaN 11.898 0.767 1971 7 NaN NaN NaN NaN NaN NaN 16.513 -0.652 1971 8 NaN NaN NaN NaN NaN NaN 14.256 1.566 1971 9 NaN NaN NaN NaN NaN NaN 7.203 0.757 1971 10 NaN NaN NaN NaN NaN NaN -3.704 1.716 1971 11 NaN NaN NaN NaN NaN NaN -11.439 7.234 1971 12 NaN NaN NaN NaN NaN NaN -20.587 3.882 1972 1 NaN NaN NaN NaN NaN NaN -31.780 -5.409 1972 2 NaN NaN NaN NaN NaN NaN -26.292 -1.394 1972 3 NaN NaN NaN NaN NaN NaN -15.840 -0.124 1972 4 NaN NaN NaN NaN NaN NaN -4.207 2.986 1972 5 NaN NaN NaN NaN NaN NaN -1.733 -2.426 1972 6 NaN NaN NaN NaN NaN NaN 14.388 3.256