% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42930 % Primary Name: SUNLIT FARM % Record Type: TAVG % Country: United States % State: MT % Latitude: 48.86670 +/- 0.00005 % Longitude: -108.50000 +/- 0.00005 % Elevation (m): 966.22 +/- 0.15 % # of Months: 63 % % Alternate Names: Missing Station ID - 248008 % % IDs: coop - 248008 % ghcnd - USC00248008 % ncdc - 12003195 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f62b8fbac8711b38e71d3afefe409adc % Raw Data Hash: c537698025fa9c0a5129b7fe8b4a1339 % Adj Data Hash: 1a27426663a011a7e04ce81a985235a0 % % 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 1910 7 NaN NaN NaN NaN NaN NaN 20.007 0.666 1910 8 NaN NaN NaN NaN NaN NaN 15.678 -2.669 1910 9 NaN NaN NaN NaN NaN NaN 10.601 -1.654 1910 10 NaN NaN NaN NaN NaN NaN 8.632 2.579 1910 11 NaN NaN NaN NaN NaN NaN -4.375 -1.179 1910 12 NaN NaN NaN NaN NaN NaN -9.982 -0.142 1911 1 NaN NaN NaN NaN NaN NaN -19.648 -5.317 1911 2 NaN NaN NaN NaN NaN NaN -14.149 -4.262 1911 3 NaN NaN NaN NaN NaN NaN -1.276 3.302 1911 4 NaN NaN NaN NaN NaN NaN 3.593 -0.709 1911 5 NaN NaN NaN NaN NaN NaN 10.183 -1.010 1911 6 NaN NaN NaN NaN NaN NaN 16.944 1.100 1911 7 15.957 -3.508 1 0 NaN NaN 16.832 -2.509 1911 8 15.089 -3.382 0 0 15.089 -3.382 15.523 -2.824 1911 9 9.758 -2.621 0 0 9.758 -2.621 9.665 -2.590 1911 10 4.784 -1.393 0 0 4.784 -1.393 5.818 -0.235 1911 11 -8.655 -5.582 0 0 -8.655 -5.582 -9.279 -6.082 1911 12 -9.927 -0.211 0 0 -9.927 -0.211 -10.025 -0.185 1912 1 -14.273 -0.066 0 0 -14.273 -0.066 -17.666 -3.335 1912 2 -9.960 -0.198 0 0 -9.960 -0.198 -9.048 0.839 1912 3 -12.294 -7.839 0 0 -12.294 -7.839 -12.392 -7.813 1912 4 5.857 1.430 0 0 5.857 1.430 5.754 1.452 1912 5 9.693 -1.623 0 0 9.693 -1.623 10.135 -1.057 1912 6 15.782 -0.186 0 0 15.782 -0.186 16.035 0.191 1912 7 15.262 -4.203 0 0 15.262 -4.203 16.543 -2.798 1912 8 15.629 -2.842 0 0 15.629 -2.842 16.213 -2.133 1912 9 7.975 -4.404 0 0 7.975 -4.404 7.950 -4.306 1912 10 5.148 -1.029 0 0 5.148 -1.029 6.375 0.322 1912 11 1.047 4.119 0 0 1.047 4.119 0.195 3.392 1912 12 -4.165 5.551 0 0 -4.165 5.551 -5.570 4.270 1913 1 -14.645 -0.438 0 0 -14.645 -0.438 -17.278 -2.946 1913 2 -11.475 -1.712 0 0 -11.475 -1.712 -11.061 -1.175 1913 3 -8.135 -3.681 0 0 -8.135 -3.681 -8.632 -4.053 1913 4 6.767 2.340 0 0 6.767 2.340 6.870 2.568 1913 5 9.137 -2.179 0 0 9.137 -2.179 9.823 -1.369 1913 6 16.247 0.279 0 0 16.247 0.279 16.644 0.800 1913 7 16.508 -2.957 0 0 16.508 -2.957 17.412 -1.929 1913 8 17.787 -0.684 0 0 17.787 -0.684 18.189 -0.157 1913 9 12.877 0.497 0 0 12.877 0.497 12.285 0.029 1913 10 2.913 -3.264 0 0 2.913 -3.264 3.780 -2.273 1913 11 0.738 3.811 0 0 0.738 3.811 -0.385 2.811 1913 12 -5.432 4.284 0 0 -5.432 4.284 -6.651 3.189 1914 1 -8.393 5.814 0 0 -8.393 5.814 -11.386 2.946 1914 2 -13.955 -4.193 0 0 -13.955 -4.193 -14.370 -4.483 1914 3 -1.940 2.515 0 0 -1.940 2.515 -3.319 1.260 1914 4 5.531 1.104 0 0 5.531 1.104 5.168 0.866 1914 5 11.195 -0.121 0 0 11.195 -0.121 11.086 -0.106 1914 6 14.363 -1.604 0 0 14.363 -1.604 14.627 -1.217 1914 7 21.483 2.019 0 0 21.483 2.019 21.612 2.271 1914 8 16.506 -1.964 0 0 16.506 -1.964 17.130 -1.217 1914 9 12.395 0.016 0 0 12.395 0.016 12.088 -0.167 1914 10 6.608 0.431 0 0 6.608 0.431 7.912 1.859 1914 11 0.462 3.535 0 0 0.462 3.535 -0.641 2.556 1914 12 -12.147 -2.431 0 0 -12.147 -2.431 -13.491 -3.651 1915 1 -11.968 2.240 0 0 -11.968 2.240 -14.752 -0.421 1915 2 -9.264 0.498 0 0 -9.264 0.498 -8.029 1.858 1915 3 -6.595 -2.140 0 0 -6.595 -2.140 -6.274 -1.695 1915 4 10.127 5.700 0 0 10.127 5.700 10.072 5.770 1915 5 9.932 -1.384 0 0 9.932 -1.384 10.848 -0.344 1915 6 11.985 -3.983 0 0 11.985 -3.983 12.533 -3.310 1915 7 14.688 -4.777 0 0 14.688 -4.777 15.992 -3.349 1915 8 18.606 0.136 0 0 18.606 0.136 19.618 1.272 1915 9 8.783 -3.596 1 0 NaN NaN 9.371 -2.885 1915 10 7.142 0.965 0 0 7.142 0.965 8.464 2.411 1915 11 -2.117 0.955 0 0 -2.117 0.955 -2.740 0.457 1915 12 -7.103 2.613 0 0 -7.103 2.613 -7.866 1.974 1916 1 -24.889 -10.682 0 0 -24.889 -10.682 -26.876 -12.544 1916 2 NaN NaN NaN NaN NaN NaN -11.874 -1.988 1916 3 -2.542 1.913 0 0 -2.542 1.913 -4.700 -0.121 1916 4 4.867 0.440 0 0 4.867 0.440 4.534 0.231 1916 5 8.063 -3.253 0 0 8.063 -3.253 8.455 -2.737 1916 6 12.727 -3.241 0 0 12.727 -3.241 13.183 -2.661 1916 7 18.035 -1.429 0 0 18.035 -1.429 19.518 0.177 1916 8 15.726 -2.745 0 0 15.726 -2.745 16.698 -1.649 1916 9 11.409 -0.970 0 0 11.409 -0.970 10.886 -1.369 1916 10 NaN NaN NaN NaN NaN NaN 4.087 -1.966 1916 11 NaN NaN NaN NaN NaN NaN -3.068 0.129 1916 12 NaN NaN NaN NaN NaN NaN -16.467 -6.627 1917 1 NaN NaN NaN NaN NaN NaN -17.093 -2.762 1917 2 NaN NaN NaN NaN NaN NaN -16.853 -6.966 1917 3 NaN NaN NaN NaN NaN NaN -9.317 -4.738 1917 4 1.488 -2.938 0 0 1.488 -2.938 1.690 -2.612 1917 5 NaN NaN NaN NaN NaN NaN 10.294 -0.898 1917 6 NaN NaN NaN NaN NaN NaN 13.610 -2.233 1917 7 NaN NaN NaN NaN NaN NaN 21.331 1.990 1917 8 NaN NaN NaN NaN NaN NaN 17.627 -0.720 1917 9 NaN NaN NaN NaN NaN NaN 11.674 -0.581 1917 10 NaN NaN NaN NaN NaN NaN 3.586 -2.467 1917 11 NaN NaN NaN NaN NaN NaN 2.714 5.910 1917 12 NaN NaN NaN NaN NaN NaN -17.599 -7.759 1918 1 NaN NaN NaN NaN NaN NaN -17.215 -2.884 1918 2 NaN NaN NaN NaN NaN NaN -11.132 -1.245 1918 3 NaN NaN NaN NaN NaN NaN -1.927 2.652 1918 4 NaN NaN NaN NaN NaN NaN 4.307 0.005