% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42204 % Primary Name: GEYSER 8E % Record Type: TAVG % Country: United States % State: MT % Latitude: 47.26670 +/- 0.00005 % Longitude: -110.33330 +/- 0.00005 % Elevation (m): 1264.92 +/- 0.15 % # of Months: 51 % % Alternate Names: Missing Station ID - 243463 % % IDs: coop - 243463 % ghcnd - USC00243463 % ncdc - 12003103 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1184797518b9afdf70351a80b0944c22 % Raw Data Hash: 89cdcb265c9e19355496ca103da78dd8 % Adj Data Hash: c24199e4f56bb0fd5d4a9d3fbb18b371 % % 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 1912 5 NaN NaN NaN NaN NaN NaN 9.959 -0.507 1912 6 NaN NaN NaN NaN NaN NaN 15.039 0.184 1912 7 NaN NaN NaN NaN NaN NaN 16.191 -2.755 1912 8 NaN NaN NaN NaN NaN NaN 16.144 -2.071 1912 9 NaN NaN NaN NaN NaN NaN 8.350 -4.435 1912 10 NaN NaN NaN NaN NaN NaN 6.381 -0.994 1912 11 NaN NaN NaN NaN NaN NaN 3.086 3.112 1912 12 NaN NaN NaN NaN NaN NaN -1.605 2.748 1913 1 NaN NaN NaN NaN NaN NaN -11.144 -3.426 1913 2 NaN NaN NaN NaN NaN NaN -7.738 -3.942 1913 3 NaN NaN NaN NaN NaN NaN -5.917 -4.671 1913 4 NaN NaN NaN NaN NaN NaN 5.953 1.235 1913 5 12.792 2.359 0 0 12.316 1.884 9.780 -0.686 1913 6 19.857 5.035 0 0 19.381 4.559 15.575 0.719 1913 7 18.376 -0.536 0 0 17.900 -1.012 17.328 -1.617 1913 8 20.271 2.090 1 0 NaN NaN 18.630 0.416 1913 9 15.178 2.427 1 0 NaN NaN 12.940 0.155 1913 10 8.399 1.058 1 0 NaN NaN 5.264 -2.110 1913 11 NaN NaN NaN NaN NaN NaN 2.302 2.328 1913 12 -2.874 1.512 0 0 -3.350 1.036 -2.124 2.229 1914 1 -0.902 6.851 0 0 -1.378 6.375 -3.893 3.826 1914 2 NaN NaN NaN NaN NaN NaN -5.885 -2.089 1914 3 NaN NaN NaN NaN NaN NaN -0.406 0.839 1914 4 3.303 -1.382 0 0 2.827 -1.857 5.284 0.566 1914 5 8.797 -1.636 0 0 8.321 -2.111 10.699 0.233 1914 6 13.380 -1.442 0 0 12.904 -1.918 13.404 -1.452 1914 7 20.463 1.551 0 0 19.987 1.075 20.285 1.340 1914 8 14.819 -3.362 0 0 14.343 -3.838 16.876 -1.339 1914 9 NaN NaN NaN NaN NaN NaN 12.649 -0.135 1914 10 6.491 -0.850 0 1 6.635 -0.706 8.182 0.807 1914 11 2.642 2.702 1 0 NaN NaN 3.498 3.524 1914 12 -8.260 -3.874 0 0 -8.116 -3.730 -8.701 -4.348 1915 1 -3.994 3.759 0 0 -3.850 3.903 -6.847 0.872 1915 2 -1.600 2.229 0 0 -1.456 2.373 -0.732 3.063 1915 3 -0.242 1.037 0 0 -0.098 1.181 -1.276 -0.031 1915 4 10.488 5.803 0 0 10.633 5.948 10.008 5.289 1915 5 8.913 -1.520 1 0 NaN NaN 9.722 -0.744 1915 6 11.285 -3.537 0 0 11.429 -3.393 11.326 -3.530 1915 7 13.847 -5.065 0 0 13.991 -4.921 15.189 -3.757 1915 8 19.339 1.157 0 0 19.483 1.302 19.412 1.197 1915 9 9.535 -3.216 1 0 NaN NaN 9.543 -3.241 1915 10 9.650 2.309 0 0 9.794 2.453 10.205 2.831 1915 11 0.028 0.088 0 0 0.173 0.232 -0.438 -0.412 1915 12 -4.047 0.340 0 0 -3.903 0.484 -3.324 1.029 1916 1 -21.116 -13.363 1 0 NaN NaN -20.631 -12.912 1916 2 NaN NaN NaN NaN NaN NaN -4.614 -0.818 1916 3 2.495 3.774 0 0 2.640 3.918 1.331 2.576 1916 4 3.593 -1.092 0 0 3.738 -0.947 5.012 0.294 1916 5 5.216 -5.216 1 0 NaN NaN 7.732 -2.733 1916 6 11.908 -2.913 0 0 12.053 -2.769 12.387 -2.468 1916 7 NaN NaN NaN NaN NaN NaN 18.653 -0.292 1916 8 16.245 -1.936 0 0 16.389 -1.792 17.093 -1.121 1916 9 11.705 -1.046 0 0 11.849 -0.902 11.622 -1.162 1916 10 2.437 -4.904 0 0 2.581 -4.760 4.862 -2.512 1916 11 NaN NaN NaN NaN NaN NaN -0.906 -0.880 1916 12 -10.529 -6.143 0 0 -10.385 -5.998 -11.019 -6.666 1917 1 -9.137 -1.385 0 0 -8.993 -1.240 -9.934 -2.215 1917 2 -9.548 -5.719 0 0 -9.404 -5.575 -8.576 -4.780 1917 3 -6.103 -4.824 0 0 -5.959 -4.680 -6.670 -5.425 1917 4 3.315 -1.370 0 0 3.459 -1.226 2.164 -2.555 1917 5 7.353 -3.079 0 0 7.497 -2.935 8.633 -1.833 1917 6 11.485 -3.337 0 0 11.629 -3.193 12.513 -2.342 1917 7 20.584 1.672 0 0 20.728 1.817 21.198 2.253 1917 8 17.144 -1.038 0 0 17.288 -0.894 17.554 -0.661 1917 9 14.960 2.209 0 0 15.104 2.353 12.823 0.039 1917 10 4.180 -3.161 0 0 4.324 -3.017 6.244 -1.131 1917 11 6.112 6.171 0 0 6.256 6.315 5.612 5.638 1917 12 NaN NaN NaN NaN NaN NaN -8.494 -4.142 1918 1 -10.283 -2.531 0 0 -10.139 -2.387 -10.167 -2.448 1918 2 -6.959 -3.130 0 0 -6.815 -2.985 -5.433 -1.638 1918 3 1.746 3.025 0 0 1.890 3.169 1.677 2.922 1918 4 NaN NaN NaN NaN NaN NaN 3.424 -1.295 1918 5 NaN NaN NaN NaN NaN NaN 8.618 -1.848 1918 6 NaN NaN NaN NaN NaN NaN 17.361 2.505 1918 7 NaN NaN NaN NaN NaN NaN 18.007 -0.938 1918 8 NaN NaN NaN NaN NaN NaN 16.636 -1.579 1918 9 NaN NaN NaN NaN NaN NaN 11.585 -1.199 1918 10 NaN NaN NaN NaN NaN NaN 9.668 2.293 1918 11 NaN NaN NaN NaN NaN NaN -0.891 -0.865 1918 12 NaN NaN NaN NaN NaN NaN -1.631 2.722 1919 1 NaN NaN NaN NaN NaN NaN -0.395 7.324 1919 2 NaN NaN NaN NaN NaN NaN -6.771 -2.975 1919 3 NaN NaN NaN NaN NaN NaN -4.855 -3.610