% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33350 % Primary Name: BURRVILLE % Record Type: TAVG % Country: United States % State: UT % Latitude: 38.56670 +/- 0.00005 % Longitude: -111.86670 +/- 0.00005 % Elevation (m): 2148.84 +/- 0.15 % # of Months: 74 % % Alternate Names: Missing Station ID - 421070 % % IDs: coop - 421070 % ghcnd - USC00421070 % ncdc - 12005494 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4a286e98ac39bf5eb78ab00c79730a01 % Raw Data Hash: 8fc5162408395ec65e09a0ef913cdb45 % Adj Data Hash: c335b67dd6fb2571ad3c835044ef4f5a % % 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 4 NaN NaN NaN NaN NaN NaN 7.691 1.890 1910 5 NaN NaN NaN NaN NaN NaN 12.247 1.292 1910 6 NaN NaN NaN NaN NaN NaN 16.584 0.570 1910 7 NaN NaN NaN NaN NaN NaN 19.857 0.116 1910 8 NaN NaN NaN NaN NaN NaN 18.379 0.020 1910 9 NaN NaN NaN NaN NaN NaN 15.347 1.119 1910 10 NaN NaN NaN NaN NaN NaN 8.944 0.529 1910 11 NaN NaN NaN NaN NaN NaN 4.594 2.933 1910 12 NaN NaN NaN NaN NaN NaN -0.835 2.138 1911 1 NaN NaN NaN NaN NaN NaN -0.533 3.399 1911 2 NaN NaN NaN NaN NaN NaN -2.723 -1.347 1911 3 NaN NaN NaN NaN NaN NaN 3.651 2.074 1911 4 10.898 6.262 0 0 11.082 6.446 5.738 -0.063 1911 5 NaN NaN NaN NaN NaN NaN 10.132 -0.823 1911 6 NaN NaN NaN NaN NaN NaN 14.811 -1.203 1911 7 NaN NaN NaN NaN NaN NaN 18.324 -1.417 1911 8 16.860 -0.335 0 0 17.044 -0.151 17.499 -0.860 1911 9 12.967 -0.097 0 0 13.151 0.087 14.177 -0.052 1911 10 5.713 -1.537 0 0 5.897 -1.353 7.159 -1.256 1911 11 -0.739 -1.235 0 0 -0.555 -1.051 0.286 -1.375 1911 12 -6.320 -2.183 0 0 -6.136 -1.999 -5.563 -2.590 1912 1 NaN NaN NaN NaN NaN NaN -3.175 0.756 1912 2 -2.462 0.078 0 0 -2.278 0.263 0.161 1.537 1912 3 0.347 -0.066 0 0 0.531 0.118 0.234 -1.343 1912 4 3.190 -1.447 1 0 NaN NaN 3.455 -2.346 1912 5 7.734 -2.057 0 0 7.918 -1.873 9.564 -1.391 1912 6 13.720 -1.129 1 0 NaN NaN 15.242 -0.772 1912 7 15.754 -2.823 1 0 NaN NaN 17.552 -2.189 1912 8 15.648 -1.547 0 0 15.832 -1.363 17.013 -1.346 1912 9 8.963 -4.100 0 0 9.147 -3.916 10.855 -3.373 1912 10 5.210 -2.041 0 0 5.394 -1.857 6.544 -1.870 1912 11 1.722 1.225 0 0 1.906 1.410 2.592 0.931 1912 12 -7.118 -2.980 0 0 -6.934 -2.796 -4.835 -1.862 1913 1 -6.919 -1.824 0 0 -6.735 -1.640 -6.344 -2.413 1913 2 -4.803 -2.262 0 0 -4.619 -2.078 -2.700 -1.324 1913 3 -1.498 -1.911 0 0 -1.314 -1.727 -0.626 -2.203 1913 4 5.367 0.730 0 0 5.551 0.914 5.635 -0.165 1913 5 9.818 0.028 0 0 10.002 0.212 10.940 -0.015 1913 6 13.003 -1.846 0 0 13.188 -1.662 14.368 -1.646 1913 7 NaN NaN NaN NaN NaN NaN 18.577 -1.165 1913 8 15.960 -1.235 0 0 16.144 -1.051 17.846 -0.514 1913 9 11.989 -1.075 1 0 NaN NaN 12.864 -1.364 1913 10 5.674 -1.576 0 0 5.858 -1.392 7.280 -1.135 1913 11 2.493 1.997 0 0 2.677 2.181 2.963 1.303 1913 12 -6.365 -2.228 0 0 -6.181 -2.043 -5.123 -2.151 1914 1 -4.489 0.607 0 0 -4.305 0.791 -2.417 1.514 1914 2 -5.093 -2.552 0 0 -4.909 -2.368 -2.041 -0.665 1914 3 1.722 1.310 1 0 NaN NaN 2.819 1.242 1914 4 5.617 0.981 0 0 5.801 1.165 6.572 0.771 1914 5 10.214 0.423 0 0 10.398 0.607 11.673 0.718 1914 6 13.173 -1.676 0 0 13.357 -1.492 14.753 -1.261 1914 7 NaN NaN NaN NaN NaN NaN 17.865 -1.877 1914 8 16.071 -1.124 1 0 NaN NaN 17.848 -0.511 1914 9 12.693 -0.371 0 0 12.877 -0.187 14.084 -0.145 1914 10 7.228 -0.022 1 0 NaN NaN 8.755 0.340 1914 11 1.373 0.877 0 0 1.557 1.061 3.368 1.708 1914 12 -6.469 -2.332 0 0 -6.285 -2.148 -5.457 -2.485 1915 1 -7.430 -2.335 0 0 -7.246 -2.151 -5.755 -1.824 1915 2 NaN NaN NaN NaN NaN NaN -2.221 -0.845 1915 3 -0.755 -1.167 0 0 -0.571 -0.983 1.357 -0.220 1915 4 6.797 2.161 0 0 6.981 2.345 7.067 1.266 1915 5 3.242 -6.548 1 0 NaN NaN 8.692 -2.263 1915 6 NaN NaN NaN NaN NaN NaN 13.621 -2.393 1915 7 13.514 -5.063 1 0 NaN NaN 18.427 -1.314 1915 8 13.414 -3.780 1 0 NaN NaN 17.747 -0.612 1915 9 NaN NaN NaN NaN NaN NaN 12.925 -1.303 1915 10 4.737 -2.513 0 0 4.921 -2.329 9.136 0.722 1915 11 NaN NaN NaN NaN NaN NaN 2.065 0.404 1915 12 NaN NaN NaN NaN NaN NaN -2.598 0.375 1916 1 NaN NaN NaN NaN NaN NaN -4.495 -0.564 1916 2 NaN NaN NaN NaN NaN NaN 0.357 1.733 1916 3 NaN NaN NaN NaN NaN NaN 3.452 1.875 1916 4 NaN NaN NaN NaN NaN NaN 6.755 0.954 1916 5 NaN NaN NaN NaN NaN NaN 9.084 -1.871 1916 6 NaN NaN NaN NaN NaN NaN 14.819 -1.195 1916 7 NaN NaN NaN NaN NaN NaN 17.985 -1.757 1916 8 NaN NaN NaN NaN NaN NaN 15.595 -2.765 1916 9 7.888 -5.175 1 0 NaN NaN 12.953 -1.275 1916 10 4.874 -2.376 0 0 5.058 -2.192 7.021 -1.394 1916 11 -3.311 -3.807 0 0 -3.127 -3.623 0.428 -1.232 1916 12 NaN NaN NaN NaN NaN NaN -4.905 -1.932 1917 1 NaN NaN NaN NaN NaN NaN -9.036 -5.105 1917 2 NaN NaN NaN NaN NaN NaN -3.356 -1.979 1917 3 0.600 0.188 1 0 NaN NaN -2.068 -3.645 1917 4 3.347 -1.290 0 1 3.043 -1.594 3.771 -2.029 1917 5 6.022 -3.769 1 0 NaN NaN 7.225 -3.730 1917 6 14.073 -0.776 0 0 13.769 -1.080 14.758 -1.256 1917 7 19.544 0.967 0 0 19.239 0.663 20.637 0.896 1917 8 16.852 -0.343 0 0 16.547 -0.647 17.680 -0.679 1917 9 12.957 -0.107 0 0 12.653 -0.411 14.129 -0.099 1917 10 8.440 1.190 0 0 8.136 0.886 9.533 1.118 1917 11 3.080 2.584 0 0 2.776 2.280 3.871 2.210 1917 12 0.489 4.626 0 0 0.185 4.322 1.194 4.167 1918 1 -4.863 0.233 0 0 -5.167 -0.071 -3.586 0.345 1918 2 -2.464 0.076 0 0 -2.768 -0.228 -0.924 0.452 1918 3 2.758 2.346 0 0 2.454 2.041 2.994 1.417 1918 4 3.920 -0.717 0 0 3.616 -1.021 4.871 -0.930 1918 5 8.273 -1.518 0 0 7.968 -1.822 9.234 -1.721 1918 6 17.678 2.829 0 0 17.374 2.525 18.189 2.175 1918 7 16.984 -1.593 0 0 16.680 -1.897 18.060 -1.682 1918 8 16.077 -1.117 0 0 15.773 -1.422 16.480 -1.879 1918 9 13.252 0.188 0 0 12.948 -0.116 14.119 -0.109 1918 10 8.689 1.438 0 0 8.385 1.134 9.674 1.260 1918 11 -1.138 -1.635 0 0 -1.442 -1.939 -0.199 -1.859 1918 12 -5.432 -1.295 0 0 -5.736 -1.599 -4.462 -1.489 1919 1 -5.587 -0.492 0 0 -5.891 -0.796 -5.700 -1.769 1919 2 -4.993 -2.452 0 0 -5.297 -2.756 -3.514 -2.137 1919 3 -0.971 -1.383 0 0 -1.275 -1.688 -0.185 -1.761 1919 4 NaN NaN NaN NaN NaN NaN 7.097 1.296 1919 5 NaN NaN NaN NaN NaN NaN 12.612 1.657 1919 6 NaN NaN NaN NaN NaN NaN 16.140 0.126 1919 7 NaN NaN NaN NaN NaN NaN 20.334 0.593 1919 8 NaN NaN NaN NaN NaN NaN 18.689 0.329 1919 9 NaN NaN NaN NaN NaN NaN 14.758 0.530 1919 10 NaN NaN NaN NaN NaN NaN 5.073 -3.342 1919 11 NaN NaN NaN NaN NaN NaN 0.963 -0.698 1919 12 NaN NaN NaN NaN NaN NaN -4.147 -1.174 1920 1 NaN NaN NaN NaN NaN NaN -3.461 0.470 1920 2 NaN NaN NaN NaN NaN NaN -0.057 1.319 1920 3 NaN NaN NaN NaN NaN NaN -0.007 -1.583