% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42067 % Primary Name: MIKE HORSE % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.01670 +/- 0.00005 % Longitude: -112.35000 +/- 0.00005 % Elevation (m): 1539.80 +/- 0.05 % # of Months: 60 % % Alternate Names: Missing Station ID - 245659 % % IDs: coop - 245659 % ghcnd - USC00245659 % ncdc - 20012521 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 039902839d217e4585a5cb80a2c774ce % Raw Data Hash: e446fa3dd755f1742e5e8103e27e0646 % Adj Data Hash: 01f586c745978353048a4587b5116ba3 % % 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 1947 4 NaN NaN NaN NaN NaN NaN 4.857 1.300 1947 5 NaN NaN NaN NaN NaN NaN 10.337 1.313 1947 6 NaN NaN NaN NaN NaN NaN 11.246 -2.010 1947 7 NaN NaN NaN NaN NaN NaN 18.688 1.562 1947 8 NaN NaN NaN NaN NaN NaN 15.989 -0.323 1947 9 NaN NaN NaN NaN NaN NaN 10.835 -0.538 1947 10 NaN NaN NaN NaN NaN NaN 8.973 2.736 1947 11 NaN NaN NaN NaN NaN NaN -2.950 -2.238 1947 12 NaN NaN NaN NaN NaN NaN -2.508 2.126 1948 1 NaN NaN NaN NaN NaN NaN -4.767 2.896 1948 2 NaN NaN NaN NaN NaN NaN -5.878 -2.044 1948 3 NaN NaN NaN NaN NaN NaN -5.180 -3.421 1948 4 2.667 0.025 0 0 2.667 0.025 3.065 -0.492 1948 5 7.889 -0.220 0 0 7.889 -0.220 9.112 0.088 1948 6 12.167 -0.174 0 0 12.167 -0.174 13.307 0.051 1948 7 13.833 -2.378 0 0 13.833 -2.378 15.930 -1.196 1948 8 14.889 -0.508 0 0 14.889 -0.508 16.493 0.180 1948 9 10.278 -0.181 0 0 10.278 -0.181 11.785 0.412 1948 10 5.667 0.345 0 0 5.667 0.345 7.693 1.456 1948 11 -2.444 -0.817 0 0 -2.444 -0.817 -0.410 0.302 1948 12 -9.778 -4.229 0 0 -9.778 -4.229 -9.188 -4.554 1949 1 -14.444 -5.866 0 0 -14.444 -5.866 -15.363 -7.699 1949 2 -8.278 -3.528 0 0 -8.278 -3.528 -8.000 -4.165 1949 3 -2.556 0.119 0 0 -2.556 0.119 -3.122 -1.363 1949 4 5.833 3.191 0 0 5.833 3.191 7.082 3.525 1949 5 9.278 1.169 0 0 9.278 1.169 10.790 1.766 1949 6 11.389 -0.952 0 0 11.389 -0.952 13.132 -0.124 1949 7 15.389 -0.822 0 0 15.389 -0.822 17.069 -0.058 1949 8 16.611 1.214 0 0 16.611 1.214 17.792 1.479 1949 9 9.833 -0.625 0 0 9.833 -0.625 11.588 0.214 1949 10 1.889 -3.433 0 0 1.889 -3.433 4.504 -1.732 1949 11 3.667 5.294 0 0 3.667 5.294 4.548 5.260 1949 12 -6.944 -1.396 0 0 -6.944 -1.396 -7.071 -2.438 1950 1 -15.833 -7.255 0 0 -15.833 -7.255 -17.681 -10.018 1950 2 -1.722 3.027 0 0 -1.722 3.027 -0.146 3.689 1950 3 -3.944 -1.270 0 0 -3.944 -1.270 -3.956 -2.197 1950 4 1.556 -1.086 0 0 1.556 -1.086 2.296 -1.261 1950 5 5.667 -2.442 0 0 5.667 -2.442 7.595 -1.429 1950 6 9.500 -2.841 0 0 9.500 -2.841 11.498 -1.757 1950 7 13.944 -2.267 0 0 13.944 -2.267 16.147 -0.980 1950 8 13.944 -1.453 0 0 13.944 -1.453 15.682 -0.631 1950 9 8.833 -1.625 0 0 8.833 -1.625 10.588 -0.785 1950 10 5.389 0.067 0 0 5.389 0.067 7.756 1.519 1950 11 -3.056 -1.428 0 0 -3.056 -1.428 -2.827 -2.115 1950 12 -2.167 3.382 0 0 -2.167 3.382 -1.515 3.119 1951 1 -9.111 -0.533 0 0 -9.111 -0.533 -9.894 -2.231 1951 2 -4.833 -0.084 0 0 -4.833 -0.084 -4.086 -0.251 1951 3 -6.056 -3.381 0 0 -6.056 -3.381 -7.766 -6.007 1951 4 0.889 -1.753 0 0 0.889 -1.753 2.384 -1.173 1951 5 7.000 -1.109 0 0 7.000 -1.109 9.182 0.158 1951 6 8.167 -4.174 0 0 8.167 -4.174 9.490 -3.765 1951 7 15.389 -0.822 0 0 15.389 -0.822 17.222 0.095 1951 8 14.556 -0.842 0 0 14.556 -0.842 14.944 -1.368 1951 9 8.167 -2.292 0 0 8.167 -2.292 9.255 -2.119 1951 10 4.500 -0.822 0 0 4.500 -0.822 4.641 -1.595 1951 11 -1.833 -0.206 0 0 -1.833 -0.206 -1.122 -0.410 1951 12 -9.111 -3.562 0 0 -9.111 -3.562 -9.431 -4.798 1952 1 -7.222 1.356 0 0 -7.222 1.356 -9.909 -2.246 1952 2 -4.056 0.694 0 0 -4.056 0.694 -2.741 1.094 1952 3 -3.944 -1.270 0 0 -3.944 -1.270 -4.609 -2.850 1952 4 5.222 2.580 0 0 5.222 2.580 6.421 2.864 1952 5 8.611 0.502 0 0 8.611 0.502 10.057 1.033 1952 6 11.611 -0.730 0 0 11.611 -0.730 12.800 -0.456 1952 7 14.778 -1.433 0 0 14.778 -1.433 16.309 -0.817 1952 8 15.056 -0.342 0 0 15.056 -0.342 16.297 -0.015 1952 9 12.333 1.875 0 0 12.333 1.875 13.156 1.783 1952 10 7.167 1.845 0 0 7.167 1.845 8.584 2.348 1952 11 -2.444 -0.817 0 0 -2.444 -0.817 -1.854 -1.142 1952 12 -3.111 2.438 0 0 -3.111 2.438 -2.368 2.266 1953 1 -1.111 7.467 0 0 -1.111 7.467 -1.654 6.009 1953 2 -3.389 1.361 0 0 -3.389 1.361 -0.393 3.442 1953 3 -0.389 2.285 0 0 -0.389 2.285 -0.405 1.354 1953 4 NaN NaN NaN NaN NaN NaN 1.063 -2.494 1953 5 NaN NaN NaN NaN NaN NaN 7.325 -1.699 1953 6 NaN NaN NaN NaN NaN NaN 11.426 -1.830 1953 7 NaN NaN NaN NaN NaN NaN 17.904 0.778 1953 8 NaN NaN NaN NaN NaN NaN 17.059 0.747 1953 9 NaN NaN NaN NaN NaN NaN 12.892 1.519 1953 10 NaN NaN NaN NaN NaN NaN 9.488 3.251 1953 11 NaN NaN NaN NaN NaN NaN 3.173 3.885 1953 12 NaN NaN NaN NaN NaN NaN -1.275 3.359 1954 1 NaN NaN NaN NaN NaN NaN -12.034 -4.370 1954 2 NaN NaN NaN NaN NaN NaN 2.192 6.026 1954 3 NaN NaN NaN NaN NaN NaN -5.485 -3.726