% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41707 % Primary Name: VANANDA 6 NE % Record Type: TAVG % Country: United States % State: MT % Latitude: 46.43000 +/- 0.00014 % Longitude: -106.92000 +/- 0.00014 % Elevation (m): 800.10 +/- 0.05 % # of Months: 69 % % Alternate Names: VANANDA 5 ESE % % IDs: coop - 248511 % ghcnd - USC00248511 % ncdc - 20012397 % nws - VNDM8 % nws - VNOM8 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: eb3e31fbd520466519ac2aa169da0c52 % Raw Data Hash: 61b914c66103f1b7c3624ab2bf594074 % Adj Data Hash: f905b068571dcc1a867b349368080d93 % % 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 1916 11 NaN NaN NaN NaN NaN NaN -0.856 -0.958 1916 12 NaN NaN NaN NaN NaN NaN -10.738 -5.870 1917 1 NaN NaN NaN NaN NaN NaN -9.304 -1.218 1917 2 NaN NaN NaN NaN NaN NaN -7.418 -3.628 1917 3 NaN NaN NaN NaN NaN NaN -5.564 -5.540 1917 4 NaN NaN NaN NaN NaN NaN 3.926 -2.350 1917 5 NaN NaN NaN NaN NaN NaN 9.737 -2.536 1917 6 NaN NaN NaN NaN NaN NaN 14.451 -2.702 1917 7 NaN NaN NaN NaN NaN NaN 22.974 1.620 1917 8 NaN NaN NaN NaN NaN NaN 18.971 -1.266 1917 9 NaN NaN NaN NaN NaN NaN 14.169 -0.056 1917 10 NaN NaN NaN NaN NaN NaN 6.594 -1.556 1917 11 4.417 3.713 0 0 4.417 3.713 4.906 4.803 1917 12 -9.382 -5.115 0 0 -9.382 -5.115 -7.331 -2.463 1918 1 -9.076 -1.590 1 0 NaN NaN -11.004 -2.918 1918 2 -9.498 -6.309 1 0 NaN NaN -5.483 -1.693 1918 3 2.432 1.855 0 0 2.432 1.855 2.750 2.773 1918 4 6.490 -0.387 0 0 6.490 -0.387 4.524 -1.752 1918 5 12.450 -0.423 0 0 12.450 -0.423 11.224 -1.048 1918 6 21.484 3.731 0 0 21.484 3.731 19.712 2.560 1918 7 20.675 -1.280 0 0 20.675 -1.280 20.329 -1.025 1918 8 19.852 -0.986 0 0 19.852 -0.986 19.150 -1.086 1918 9 14.792 -0.034 0 0 14.792 -0.034 13.006 -1.219 1918 10 9.890 1.138 0 0 9.890 1.138 10.798 2.647 1918 11 -2.562 -3.266 0 0 -2.562 -3.266 -2.010 -2.112 1918 12 -1.380 2.887 0 0 -1.380 2.887 -1.448 3.420 1919 1 0.058 7.543 0 0 0.058 7.543 -2.110 5.976 1919 2 -7.091 -3.902 1 0 NaN NaN -5.248 -1.457 1919 3 -2.542 -3.119 0 0 -2.542 -3.119 -1.683 -1.660 1919 4 8.691 1.814 1 0 NaN NaN 7.434 1.158 1919 5 14.156 1.283 0 0 14.156 1.283 13.505 1.232 1919 6 22.209 4.455 0 0 22.209 4.455 20.124 2.972 1919 7 24.547 2.592 0 0 24.547 2.592 22.908 1.555 1919 8 21.052 0.214 0 0 21.052 0.214 20.828 0.592 1919 9 16.685 1.859 0 0 16.685 1.859 14.917 0.692 1919 10 1.922 -6.830 0 0 1.922 -6.830 2.653 -5.498 1919 11 -4.856 -5.560 0 0 -4.856 -5.560 -5.027 -5.130 1919 12 -9.423 -5.156 0 0 -9.423 -5.156 -9.563 -4.695 1920 1 -8.868 -1.383 0 0 -8.868 -1.383 -7.581 0.506 1920 2 -5.340 -2.151 0 0 -5.340 -2.151 -2.803 0.987 1920 3 -2.218 -2.795 0 0 -2.218 -2.795 -2.407 -2.384 1920 4 NaN NaN NaN NaN NaN NaN 1.936 -4.340 1920 5 13.284 0.410 0 0 13.284 0.410 11.598 -0.674 1920 6 17.171 -0.583 0 0 17.171 -0.583 15.723 -1.430 1920 7 23.139 1.184 0 0 23.139 1.184 21.770 0.416 1920 8 21.948 1.111 0 0 21.948 1.111 20.666 0.429 1920 9 14.423 -0.403 0 0 14.423 -0.403 14.372 0.147 1920 10 7.952 -0.800 0 0 7.952 -0.800 8.884 0.733 1920 11 -1.616 -2.320 0 0 -1.616 -2.320 -1.205 -1.308 1920 12 -5.426 -1.159 0 0 -5.426 -1.159 -4.410 0.458 1921 1 -2.515 4.970 0 0 -2.515 4.970 -3.193 4.894 1921 2 NaN NaN NaN NaN NaN NaN 0.787 4.577 1921 3 1.969 1.392 0 0 1.969 1.392 1.190 1.213 1921 4 7.275 0.398 0 0 7.275 0.398 5.788 -0.488 1921 5 12.579 -0.294 0 0 12.579 -0.294 11.655 -0.617 1921 6 21.080 3.326 0 0 21.080 3.326 19.086 1.934 1921 7 23.758 1.803 0 0 23.758 1.803 22.118 0.765 1921 8 NaN NaN NaN NaN NaN NaN 21.045 0.809 1921 9 12.916 -1.910 0 0 12.916 -1.910 12.501 -1.724 1921 10 9.955 1.203 0 0 9.955 1.203 11.024 2.874 1921 11 -4.990 -5.694 1 0 NaN NaN -1.329 -1.431 1921 12 -9.661 -5.395 1 0 NaN NaN -5.248 -0.380 1922 1 -8.382 -0.897 0 0 -8.382 -0.897 -11.484 -3.398 1922 2 -14.196 -11.007 0 0 -14.196 -11.007 -11.959 -8.169 1922 3 -3.144 -3.721 0 0 -3.144 -3.721 -1.863 -1.839 1922 4 5.800 -1.077 0 0 5.800 -1.077 5.287 -0.989 1922 5 12.335 -0.538 0 0 12.335 -0.538 11.452 -0.820 1922 6 19.682 1.928 0 0 19.682 1.928 17.958 0.805 1922 7 21.376 -0.579 0 0 21.376 -0.579 20.115 -1.239 1922 8 23.204 2.366 0 0 23.204 2.366 22.297 2.060 1922 9 20.469 5.643 0 0 20.469 5.643 16.089 1.865 1922 10 10.285 1.533 0 0 10.285 1.533 10.249 2.098 1922 11 1.041 0.337 0 0 1.041 0.337 -0.216 -0.319 1922 12 NaN NaN NaN NaN NaN NaN -8.924 -4.056 1923 1 -3.557 3.929 0 0 -3.557 3.929 -3.833 4.254 1923 2 -7.757 -4.568 0 0 -7.757 -4.568 -6.613 -2.823 1923 3 0.421 -0.157 0 0 0.421 -0.157 -1.220 -1.197 1923 4 6.338 -0.539 0 0 6.338 -0.539 5.118 -1.157 1923 5 13.843 0.969 0 0 13.843 0.969 12.282 0.009 1923 6 18.753 1.000 0 0 18.753 1.000 16.746 -0.407 1923 7 NaN NaN NaN NaN NaN NaN 23.288 1.935 1923 8 20.370 -0.468 1 0 NaN NaN 18.880 -1.357 1923 9 15.685 0.859 0 0 15.685 0.859 14.268 0.044 1923 10 7.905 -0.847 0 0 7.905 -0.847 7.085 -1.066 1923 11 4.655 3.951 0 0 4.655 3.951 3.326 3.224 1923 12 -3.270 0.997 0 0 -3.270 0.997 -3.375 1.493 1924 1 NaN NaN NaN NaN NaN NaN -11.528 -3.442 1924 2 NaN NaN NaN NaN NaN NaN 0.264 4.054 1924 3 NaN NaN NaN NaN NaN NaN -3.461 -3.437 1924 4 NaN NaN NaN NaN NaN NaN 5.462 -0.814 1924 5 NaN NaN NaN NaN NaN NaN 10.604 -1.668 1924 6 NaN NaN NaN NaN NaN NaN 14.731 -2.422 1924 7 NaN NaN NaN NaN NaN NaN 20.049 -1.304 1924 8 NaN NaN NaN NaN NaN NaN 18.699 -1.537 1924 9 NaN NaN NaN NaN NaN NaN 13.183 -1.042 1924 10 NaN NaN NaN NaN NaN NaN 10.211 2.060 1924 11 NaN NaN NaN NaN NaN NaN 0.827 0.725 1924 12 NaN NaN NaN NaN NaN NaN -9.789 -4.920