% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42179 % Primary Name: TEIGEN 13 NNE % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.23330 +/- 0.00005 % Longitude: -108.55000 +/- 0.00005 % Elevation (m): 1051.90 +/- 0.05 % # of Months: 54 % % Alternate Names: Missing Station ID - 248156 % % IDs: coop - 248156 % ghcnd - USC00248156 % ncdc - 20012557 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: befc32a8e1d79f846ae18c0f6cb241b8 % Raw Data Hash: 6e034065cc4c5480d52fa19877d5c42c % Adj Data Hash: 1894442b4bef3834c9b0911775cfde04 % % 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 1950 10 NaN NaN NaN NaN NaN NaN 10.338 1.925 1950 11 NaN NaN NaN NaN NaN NaN -2.557 -2.625 1950 12 NaN NaN NaN NaN NaN NaN -3.487 1.951 1951 1 NaN NaN NaN NaN NaN NaN -11.215 -1.865 1951 2 NaN NaN NaN NaN NaN NaN -5.773 -0.782 1951 3 NaN NaN NaN NaN NaN NaN -8.666 -7.864 1951 4 NaN NaN NaN NaN NaN NaN 4.132 -2.079 1951 5 NaN NaN NaN NaN NaN NaN 13.255 0.804 1951 6 NaN NaN NaN NaN NaN NaN 13.242 -4.067 1951 7 NaN NaN NaN NaN NaN NaN 21.741 0.250 1951 8 NaN NaN NaN NaN NaN NaN 19.012 -1.507 1951 9 NaN NaN NaN NaN NaN NaN 11.484 -2.937 1951 10 5.111 -2.931 0 0 5.111 -2.931 6.948 -1.465 1951 11 -1.611 -1.308 0 0 -1.611 -1.308 -1.027 -1.095 1951 12 -11.111 -5.302 0 0 -11.111 -5.302 -11.117 -5.679 1952 1 -12.111 -2.390 0 0 -12.111 -2.390 -13.531 -4.182 1952 2 -4.389 0.974 0 0 -4.389 0.974 -4.075 0.917 1952 3 -3.556 -2.382 0 0 -3.556 -2.382 -5.368 -4.566 1952 4 9.556 3.716 0 0 9.556 3.716 9.921 3.709 1952 5 12.333 0.254 0 0 12.333 0.254 13.249 0.798 1952 6 17.056 0.118 0 0 17.056 0.118 17.434 0.125 1952 7 19.167 -1.952 0 0 19.167 -1.952 20.371 -1.119 1952 8 18.944 -1.202 0 0 18.944 -1.202 20.496 -0.022 1952 9 15.778 1.729 0 0 15.778 1.729 16.055 1.635 1952 10 7.833 -0.209 0 0 7.833 -0.209 9.512 1.099 1952 11 -1.444 -1.141 0 0 -1.444 -1.141 -0.675 -0.743 1952 12 -4.111 1.698 0 0 -4.111 1.698 -3.575 1.863 1953 1 -1.389 8.332 0 0 -1.389 8.332 -3.581 5.768 1953 2 -1.667 3.697 0 0 -1.667 3.697 -0.834 4.158 1953 3 1.778 2.951 0 0 1.778 2.951 0.719 1.520 1953 4 3.444 -2.395 0 0 3.444 -2.395 3.251 -2.960 1953 5 9.778 -2.302 0 0 9.778 -2.302 10.256 -2.195 1953 6 16.000 -0.937 0 0 16.000 -0.937 16.170 -1.139 1953 7 20.556 -0.564 0 0 20.556 -0.564 21.754 0.263 1953 8 19.889 -0.258 0 0 19.889 -0.258 21.232 0.714 1953 9 14.944 0.896 0 0 14.944 0.896 15.410 0.990 1953 10 10.333 2.291 0 0 10.333 2.291 12.483 4.069 1953 11 4.000 4.303 0 0 4.000 4.303 4.160 4.092 1953 12 -0.944 4.865 0 0 -0.944 4.865 -1.122 4.315 1954 1 -12.611 -2.890 0 0 -12.611 -2.890 -14.290 -4.941 1954 2 3.056 8.419 0 0 3.056 8.419 3.863 8.854 1954 3 -5.111 -3.938 0 0 -5.111 -3.938 -4.980 -4.178 1954 4 4.167 -1.673 0 0 4.167 -1.673 3.890 -2.322 1954 5 11.167 -0.913 0 0 11.167 -0.913 11.190 -1.261 1954 6 13.889 -3.049 0 0 13.889 -3.049 14.430 -2.879 1954 7 21.556 0.436 0 0 21.556 0.436 22.841 1.350 1954 8 18.444 -1.702 0 0 18.444 -1.702 19.924 -0.594 1954 9 13.556 -0.493 0 0 13.556 -0.493 13.689 -0.732 1954 10 6.944 -1.097 0 0 6.944 -1.097 8.817 0.404 1954 11 5.667 5.970 0 0 5.667 5.970 5.539 5.470 1954 12 -0.889 4.920 0 0 -0.889 4.920 -0.543 4.894 1955 1 -6.722 2.999 0 0 -6.722 2.999 -7.731 1.618 1955 2 -6.667 -1.303 0 0 -6.667 -1.303 -6.740 -1.748 1955 3 -3.833 -2.660 0 0 -3.833 -2.660 -4.818 -4.016 1955 4 5.167 -0.673 0 0 5.167 -0.673 6.175 -0.037 1955 5 11.056 -1.024 0 0 11.056 -1.024 11.787 -0.664 1955 6 15.389 -1.549 0 0 15.389 -1.549 15.894 -1.415 1955 7 20.000 -1.119 0 0 20.000 -1.119 21.743 0.252 1955 8 21.111 0.965 0 0 21.111 0.965 22.208 1.690 1955 9 12.722 -1.327 0 0 12.722 -1.327 13.442 -0.979 1955 10 8.556 0.514 0 0 8.556 0.514 10.909 2.496 1955 11 -6.944 -6.641 0 0 -6.944 -6.641 -7.269 -7.338 1955 12 -10.479 -4.669 1 0 NaN NaN -8.696 -3.258 1956 1 -9.944 -0.224 0 0 -9.944 -0.224 -11.331 -1.982 1956 2 -7.667 -2.303 0 0 -7.667 -2.303 -6.979 -1.987 1956 3 -0.167 1.007 0 0 -0.167 1.007 -0.422 0.380 1956 4 NaN NaN NaN NaN NaN NaN 4.319 -1.892 1956 5 NaN NaN NaN NaN NaN NaN 13.007 0.556 1956 6 NaN NaN NaN NaN NaN NaN 19.521 2.212 1956 7 NaN NaN NaN NaN NaN NaN 21.316 -0.175 1956 8 NaN NaN NaN NaN NaN NaN 19.780 -0.739 1956 9 NaN NaN NaN NaN NaN NaN 14.707 0.286 1956 10 NaN NaN NaN NaN NaN NaN 10.140 1.727 1956 11 NaN NaN NaN NaN NaN NaN 1.705 1.637 1956 12 NaN NaN NaN NaN NaN NaN -2.743 2.694 1957 1 NaN NaN NaN NaN NaN NaN -15.573 -6.224 1957 2 NaN NaN NaN NaN NaN NaN -5.777 -0.786 1957 3 NaN NaN NaN NaN NaN NaN -0.559 0.243