% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42137 % Primary Name: TEIGEN 10 NNE % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.16670 +/- 0.00005 % Longitude: -108.48330 +/- 0.00005 % Elevation (m): 987.90 +/- 0.05 % # of Months: 27 % % Alternate Names: Missing Station ID - 248152 % TEIGEN 7 N % % IDs: coop - 248152 % ghcnd - USC00248152 % ncdc - 20012547 % ncdc - 20012549 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 18f73cbac24ec85f26a056ec4995b889 % Raw Data Hash: 0cc01982b364862d85cd87586d2d52bb % Adj Data Hash: 96f6f055bfa9d7380c149c4aa428e55a % % 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 12 NaN NaN NaN NaN NaN NaN -9.650 -4.213 1969 1 NaN NaN NaN NaN NaN NaN -19.532 -10.183 1969 2 NaN NaN NaN NaN NaN NaN -8.135 -3.143 1969 3 NaN NaN NaN NaN NaN NaN -4.655 -3.853 1969 4 NaN NaN NaN NaN NaN NaN 9.396 3.185 1969 5 NaN NaN NaN NaN NaN NaN 13.243 0.792 1969 6 NaN NaN NaN NaN NaN NaN 15.024 -2.285 1969 7 NaN NaN NaN NaN NaN NaN 20.388 -1.103 1969 8 NaN NaN NaN NaN NaN NaN 22.645 2.127 1969 9 NaN NaN NaN NaN NaN NaN 15.979 1.558 1969 10 NaN NaN NaN NaN NaN NaN 5.074 -3.340 1969 11 NaN NaN NaN NaN NaN NaN 2.851 2.782 1969 12 -2.333 2.933 0 0 -2.973 2.293 -3.208 2.229 1970 1 -8.444 0.733 0 0 -9.084 0.094 -11.516 -2.166 1970 2 0.389 5.209 0 0 -0.251 4.569 -1.817 3.175 1970 3 -0.667 -0.036 0 0 -1.306 -0.676 -2.861 -2.059 1970 4 4.444 -1.938 0 0 3.805 -2.578 3.491 -2.720 1970 5 11.444 -1.178 0 0 10.805 -1.818 12.298 -0.154 1970 6 19.056 1.575 0 0 18.416 0.935 18.730 1.421 1970 7 21.889 0.227 0 0 21.249 -0.413 22.321 0.830 1970 8 22.278 1.588 0 0 21.638 0.948 22.350 1.832 1970 9 12.667 -1.925 0 0 12.027 -2.565 12.771 -1.649 1970 10 6.778 -1.807 0 0 6.138 -2.447 7.629 -0.785 1970 11 -0.722 -0.962 0 1 -0.282 -0.522 -1.262 -1.331 1970 12 -6.833 -1.567 0 0 -6.393 -1.127 -7.154 -1.716 1971 1 -10.278 -1.100 0 0 -9.838 -0.660 -11.992 -2.643 1971 2 -5.000 -0.180 0 0 -4.560 0.260 -4.264 0.728 1971 3 0.000 0.631 0 0 0.440 1.071 -1.176 -0.374 1971 4 6.611 0.228 0 0 7.051 0.668 6.537 0.326 1971 5 11.833 -0.789 0 0 12.273 -0.349 12.731 0.280 1971 6 16.500 -0.980 0 0 16.940 -0.541 17.065 -0.244 1971 7 18.889 -2.773 0 0 19.329 -2.333 20.304 -1.187 1971 8 22.556 1.866 0 0 22.995 2.306 24.454 3.936 1971 9 11.556 -3.036 0 0 11.995 -2.596 12.835 -1.585 1971 10 6.722 -1.863 0 0 7.162 -1.423 8.258 -0.156 1971 11 1.944 1.705 0 0 2.384 2.145 1.364 1.296 1971 12 -8.667 -3.400 0 0 -8.227 -2.960 -9.961 -4.523 1972 1 -12.333 -3.155 0 0 -11.893 -2.716 -13.720 -4.371 1972 2 -8.556 -3.735 0 0 -8.116 -3.295 -7.108 -2.117 1972 3 NaN NaN NaN NaN NaN NaN 1.158 1.960 1972 4 NaN NaN NaN NaN NaN NaN 6.284 0.072 1972 5 NaN NaN NaN NaN NaN NaN 12.605 0.153 1972 6 NaN NaN NaN NaN NaN NaN 18.490 1.181 1972 7 NaN NaN NaN NaN NaN NaN 18.538 -2.953 1972 8 NaN NaN NaN NaN NaN NaN 21.682 1.164 1972 9 NaN NaN NaN NaN NaN NaN 11.815 -2.605 1972 10 NaN NaN NaN NaN NaN NaN 7.321 -1.092 1972 11 NaN NaN NaN NaN NaN NaN 0.552 0.483 1972 12 NaN NaN NaN NaN NaN NaN -9.587 -4.149 1973 1 NaN NaN NaN NaN NaN NaN -5.936 3.413 1973 2 NaN NaN NaN NaN NaN NaN -1.491 3.501