% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32483 % Primary Name: GARNETT % Record Type: TAVG % Country: United States % State: CO % Latitude: 37.71667 +/- 0.00833 % Longitude: -106.00000 +/- 0.00833 % Elevation (m): 2311.90 +/- 0.05 % # of Months: 126 % % IDs: coop - 53232 % ncdc - 20003437 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4497c9dd8ee5b98dae42f9e0509d96f5 % Raw Data Hash: b8979c6fd4567f099a73a3714547b138 % Adj Data Hash: 9a89aac8e24384051627983a9349ccba % % 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 1930 1 NaN NaN NaN NaN NaN NaN -9.273 -3.036 1930 2 NaN NaN NaN NaN NaN NaN -0.995 2.976 1930 3 NaN NaN NaN NaN NaN NaN -2.591 -2.017 1930 4 NaN NaN NaN NaN NaN NaN 6.899 2.726 1930 5 NaN NaN NaN NaN NaN NaN 7.846 -1.558 1930 6 NaN NaN NaN NaN NaN NaN 14.630 0.262 1930 7 NaN NaN NaN NaN NaN NaN 16.764 -0.394 1930 8 NaN NaN NaN NaN NaN NaN 15.496 -0.425 1930 9 NaN NaN NaN NaN NaN NaN 11.565 -0.643 1930 10 NaN NaN NaN NaN NaN NaN 6.189 -0.513 1930 11 NaN NaN NaN NaN NaN NaN -1.367 -1.060 1930 12 NaN NaN NaN NaN NaN NaN -7.787 -2.801 1931 1 -7.778 -1.067 0 0 -6.597 0.114 -6.171 0.066 1931 2 -2.611 1.834 0 0 -2.005 2.440 -2.448 1.523 1931 3 -1.333 -0.285 0 0 -1.199 -0.150 -2.547 -1.973 1931 4 5.667 1.967 0 0 5.734 2.035 4.451 0.278 1931 5 9.000 0.070 0 0 9.185 0.255 7.859 -1.545 1931 6 16.000 2.106 0 0 16.260 2.366 15.492 1.124 1931 7 17.778 1.094 0 0 18.068 1.384 17.974 0.816 1931 8 16.778 1.331 0 0 17.043 1.596 16.170 0.249 1931 9 13.778 2.044 0 0 13.974 2.239 13.901 1.693 1931 10 7.000 0.772 0 0 7.321 1.094 8.072 1.370 1931 11 -3.333 -2.553 0 0 -2.530 -1.750 -2.200 -1.893 1931 12 -14.778 -9.318 1 0 NaN NaN -6.955 -1.969 1932 1 -15.222 -8.512 0 0 -14.041 -7.330 -9.799 -3.562 1932 2 -3.667 0.779 0 0 -3.060 1.385 -1.478 2.493 1932 3 -0.222 0.826 0 0 -0.087 0.961 -2.234 -1.659 1932 4 5.333 1.634 0 0 5.401 1.702 4.556 0.383 1932 5 9.667 0.736 0 0 9.852 0.922 9.208 -0.197 1932 6 13.333 -0.561 0 0 13.593 -0.301 12.930 -1.438 1932 7 17.500 0.817 0 0 17.790 1.106 17.723 0.565 1932 8 16.444 0.998 0 0 16.710 1.263 16.503 0.583 1932 9 12.111 0.377 0 0 12.307 0.573 11.990 -0.218 1932 10 5.389 -0.839 0 0 5.710 -0.517 6.225 -0.476 1932 11 -0.278 0.503 0 0 0.525 1.306 0.852 1.159 1932 12 -11.889 -6.429 0 0 -10.619 -5.159 -8.868 -3.882 1933 1 -13.000 -6.289 0 0 -11.819 -5.108 -7.275 -1.038 1933 2 -10.944 -6.499 0 0 -10.338 -5.893 -8.192 -4.221 1933 3 0.667 1.715 0 0 0.801 1.850 0.302 0.876 1933 4 2.222 -1.477 0 0 2.290 -1.410 1.952 -2.221 1933 5 7.556 -1.375 0 0 7.741 -1.190 7.496 -1.909 1933 6 14.944 1.051 0 0 15.204 1.310 15.133 0.765 1933 7 17.333 0.650 0 0 17.623 0.940 17.800 0.642 1933 8 15.833 0.387 0 0 16.099 0.652 15.637 -0.284 1933 9 13.667 1.933 0 0 13.862 2.128 14.296 2.088 1933 10 8.000 1.772 0 0 8.321 2.094 8.643 1.941 1933 11 0.778 1.558 0 0 1.581 2.361 2.007 2.313 1933 12 -7.444 -1.984 0 0 -6.175 -0.715 -2.111 2.875 1934 1 -6.111 0.600 0 0 -4.930 1.781 -3.857 2.379 1934 2 -0.444 4.001 0 0 0.162 4.607 -0.611 3.360 1934 3 2.722 3.770 0 0 2.857 3.905 2.299 2.873 1934 4 6.444 2.745 0 0 6.512 2.813 5.751 1.578 1934 5 11.556 2.625 0 0 11.741 2.810 11.749 2.344 1934 6 13.333 -0.561 0 0 13.593 -0.301 14.461 0.093 1934 7 17.333 0.650 0 0 17.623 0.940 18.600 1.442 1934 8 16.889 1.442 0 0 17.154 1.707 17.160 1.239 1934 9 10.722 -1.012 0 0 10.918 -0.816 11.293 -0.916 1934 10 7.222 0.995 0 0 7.543 1.316 8.862 2.160 1934 11 -1.222 -0.442 0 0 -0.419 0.361 0.936 1.242 1934 12 -6.389 -0.929 0 0 -5.119 0.341 -3.395 1.591 1935 1 -5.056 1.655 0 0 -3.874 2.836 -2.461 3.775 1935 2 -3.889 0.556 0 0 -3.283 1.163 -2.559 1.412 1935 3 -0.611 0.437 0 0 -0.476 0.572 0.071 0.645 1935 4 4.333 0.634 0 0 4.401 0.702 4.192 0.019 1935 5 7.222 -1.708 0 0 7.407 -1.523 6.610 -2.794 1935 6 13.778 -0.116 0 0 14.038 0.144 14.148 -0.219 1935 7 16.333 -0.350 0 0 16.623 -0.060 17.507 0.349 1935 8 16.111 0.664 0 0 16.376 0.930 16.643 0.722 1935 9 11.778 0.044 0 0 11.974 0.239 12.073 -0.135 1935 10 6.056 -0.172 0 0 6.377 0.149 7.024 0.323 1935 11 -1.556 -0.775 0 0 -0.752 0.028 -0.128 0.179 1935 12 -6.667 -1.207 0 0 -5.397 0.063 -4.226 0.760 1936 1 -7.222 -0.512 0 0 -6.041 0.670 -5.127 1.110 1936 2 -4.556 -0.110 0 0 -3.949 0.496 -4.039 -0.068 1936 3 0.000 1.048 0 0 0.135 1.183 0.427 1.001 1936 4 4.444 0.745 0 0 4.512 0.813 4.793 0.619 1936 5 10.167 1.236 0 0 10.352 1.422 10.326 0.922 1936 6 15.111 1.217 0 0 15.371 1.477 15.660 1.293 1936 7 NaN NaN NaN NaN NaN NaN 17.665 0.507 1936 8 16.000 0.553 0 0 16.265 0.819 16.375 0.454 1936 9 10.889 -0.845 0 0 11.085 -0.650 11.497 -0.712 1936 10 4.389 -1.839 0 0 4.710 -1.517 6.071 -0.631 1936 11 -2.611 -1.831 0 0 -1.808 -1.028 -0.146 0.161 1936 12 -6.722 -1.262 0 0 -5.453 0.007 -3.659 1.327 1937 1 -11.778 -5.067 0 0 -10.597 -3.886 -9.790 -3.553 1937 2 -5.833 -1.388 0 0 -5.227 -0.782 -4.421 -0.450 1937 3 -2.000 -0.952 0 0 -1.865 -0.817 -1.925 -1.351 1937 4 3.333 -0.366 0 0 3.401 -0.298 3.859 -0.314 1937 5 7.833 -1.097 0 0 8.018 -0.912 9.908 0.504 1937 6 11.889 -2.005 0 0 12.149 -1.745 13.595 -0.773 1937 7 15.278 -1.406 0 0 15.568 -1.116 17.400 0.243 1937 8 16.333 0.887 0 0 16.599 1.152 17.275 1.355 1937 9 14.111 2.377 0 4 13.786 2.052 13.224 1.016 1937 10 8.389 2.161 0 0 7.856 1.628 7.684 0.982 1937 11 1.444 2.225 0 0 0.112 0.892 0.775 1.081 1937 12 -3.389 2.071 0 0 -5.496 -0.036 -3.420 1.566 1938 1 -7.667 -0.956 0 0 -9.627 -2.916 -5.234 1.002 1938 2 -3.000 1.445 0 0 -4.006 0.439 -3.111 0.860 1938 3 1.444 2.493 0 0 1.221 2.269 0.145 0.719 1938 4 5.667 1.967 0 0 5.554 1.855 4.204 0.031 1938 5 9.278 0.348 0 0 8.970 0.040 8.235 -1.170 1938 6 14.500 0.606 0 0 14.069 0.175 14.027 -0.341 1938 7 16.556 -0.128 0 0 16.075 -0.609 16.263 -0.895 1938 8 17.722 2.275 0 0 17.282 1.835 16.722 0.802 1938 9 14.167 2.433 0 0 13.842 2.108 12.579 0.371 1938 10 7.778 1.550 0 0 7.245 1.017 7.836 1.135 1938 11 -2.222 -1.442 0 0 -3.555 -2.775 -2.422 -2.115 1938 12 -3.833 1.627 0 0 -5.940 -0.480 -3.554 1.432 1939 1 -8.333 -1.623 0 0 -10.294 -3.583 -6.382 -0.145 1939 2 -11.111 -6.666 0 0 -12.117 -7.672 -9.609 -5.638 1939 3 1.111 2.159 0 0 0.887 1.936 -0.441 0.134 1939 4 7.556 3.856 0 0 7.443 3.744 5.245 1.071 1939 5 11.111 2.181 0 0 10.804 1.874 9.895 0.491 1939 6 NaN NaN NaN NaN NaN NaN 14.144 -0.224 1939 7 16.778 0.094 0 0 16.297 -0.387 17.478 0.320 1939 8 16.389 0.942 0 0 15.949 0.502 15.580 -0.341 1939 9 14.556 2.821 0 0 14.231 2.497 13.755 1.546 1939 10 7.222 0.995 0 0 6.689 0.462 7.011 0.310 1939 11 0.389 1.169 0 0 -0.944 -0.163 0.755 1.061 1939 12 -3.333 2.127 0 0 -5.440 0.020 -1.737 3.249 1940 1 -10.111 -3.400 0 0 -12.071 -5.361 -7.997 -1.760 1940 2 -7.056 -2.610 0 0 -8.062 -3.617 -4.581 -0.610 1940 3 3.667 4.715 0 0 3.443 4.491 0.786 1.361 1940 4 7.000 3.301 0 0 6.888 3.188 4.373 0.200 1940 5 11.167 2.236 0 0 10.859 1.929 9.903 0.499 1940 6 15.722 1.828 0 0 15.291 1.397 14.778 0.410 1940 7 18.222 1.539 0 0 17.741 1.058 17.848 0.691 1940 8 16.944 1.498 0 0 16.504 1.057 15.571 -0.350 1940 9 14.000 2.266 0 0 13.675 1.941 12.984 0.776 1940 10 8.389 2.161 0 0 7.856 1.628 8.375 1.674 1940 11 -2.389 -1.608 0 0 -3.722 -2.941 -2.046 -1.740 1940 12 -9.556 -4.096 0 0 -11.663 -6.203 -4.404 0.582 1941 1 -11.889 -5.178 0 0 -13.849 -7.139 -6.543 -0.306 1941 2 -6.778 -2.333 0 0 -7.784 -3.339 -3.088 0.883 1941 3 0.111 1.159 0 0 -0.113 0.936 -1.834 -1.260 1941 4 6.111 2.412 0 0 5.999 2.299 2.736 -1.437 1941 5 13.000 4.070 0 0 12.693 3.763 9.934 0.530 1941 6 15.222 1.328 0 0 14.791 0.897 12.584 -1.783 1941 7 17.556 0.872 0 0 17.075 0.391 16.131 -1.027 1941 8 16.556 1.109 0 0 16.115 0.669 15.527 -0.394 1941 9 NaN NaN NaN NaN NaN NaN 11.530 -0.678 1941 10 NaN NaN NaN NaN NaN NaN 6.682 -0.020 1941 11 NaN NaN NaN NaN NaN NaN 0.743 1.050 1941 12 NaN NaN NaN NaN NaN NaN -3.766 1.220 1942 1 NaN NaN NaN NaN NaN NaN -6.394 -0.157 1942 2 NaN NaN NaN NaN NaN NaN -6.618 -2.647 1942 3 NaN NaN NaN NaN NaN NaN -2.477 -1.903 1942 4 NaN NaN NaN NaN NaN NaN 5.057 0.884 1942 5 NaN NaN NaN NaN NaN NaN 8.957 -0.447 1942 6 NaN NaN NaN NaN NaN NaN 13.707 -0.661 1942 7 NaN NaN NaN NaN NaN NaN 16.799 -0.358 1942 8 NaN NaN NaN NaN NaN NaN 15.765 -0.156