% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32913 % Primary Name: CANDELARIA % Record Type: TAVG % Country: United States % State: NV % Latitude: 38.16670 +/- 0.00005 % Longitude: -118.08330 +/- 0.00005 % Elevation (m): 1883.66 +/- 0.15 % # of Months: 178 % % Alternate Names: Missing Station ID - 261395 % % IDs: coop - 261395 % ghcnd - USC00261395 % ncdc - 12003346 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1d0a0291504656b68cc41dc202576181 % Raw Data Hash: 31dfeee799dc7627e5af7806f24a649e % Adj Data Hash: 25a254e666372be6366977ff303452da % % 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 1888 5 NaN NaN NaN NaN NaN NaN 13.346 0.065 1888 6 NaN NaN NaN NaN NaN NaN 17.385 -1.109 1888 7 NaN NaN NaN NaN NaN NaN 22.709 0.207 1888 8 NaN NaN NaN NaN NaN NaN 21.770 0.605 1888 9 NaN NaN NaN NaN NaN NaN 20.106 3.143 1888 10 NaN NaN NaN NaN NaN NaN 12.108 1.291 1888 11 NaN NaN NaN NaN NaN NaN 4.395 0.269 1888 12 NaN NaN NaN NaN NaN NaN 1.090 1.272 1889 1 NaN NaN NaN NaN NaN NaN -2.746 -1.967 1889 2 NaN NaN NaN NaN NaN NaN 1.259 -0.663 1889 3 NaN NaN NaN NaN NaN NaN 5.736 1.412 1889 4 NaN NaN NaN NaN NaN NaN 10.250 2.157 1889 5 15.089 0.148 0 0 15.089 0.148 14.564 1.283 1889 6 21.778 1.625 0 0 21.778 1.625 20.588 2.095 1889 7 24.827 0.666 0 0 24.827 0.666 23.731 1.230 1889 8 23.752 0.926 0 0 23.752 0.926 22.116 0.950 1889 9 18.045 -0.578 0 0 18.045 -0.578 17.235 0.272 1889 10 10.316 -2.161 0 0 10.316 -2.161 10.279 -0.538 1889 11 5.203 -0.583 0 0 5.203 -0.583 4.117 -0.009 1889 12 0.215 -1.264 0 0 0.215 -1.264 0.420 0.601 1890 1 -6.503 -7.384 0 0 -6.503 -7.384 -4.598 -3.819 1890 2 -0.364 -3.946 0 0 -0.364 -3.946 -0.239 -2.161 1890 3 4.982 -1.001 0 0 4.982 -1.001 3.592 -0.731 1890 4 9.992 0.238 0 0 9.992 0.238 8.644 0.551 1890 5 15.261 0.320 0 0 15.261 0.320 14.381 1.100 1890 6 17.250 -2.903 0 0 17.250 -2.903 16.409 -2.084 1890 7 24.560 0.398 0 0 24.560 0.398 23.139 0.637 1890 8 21.363 -1.463 0 0 21.363 -1.463 20.195 -0.970 1890 9 17.987 -0.636 0 0 17.987 -0.636 16.962 -0.001 1890 10 10.018 -2.460 0 0 10.018 -2.460 10.097 -0.720 1890 11 6.460 0.674 0 0 6.460 0.674 5.025 0.899 1890 12 2.084 0.605 0 0 2.084 0.605 0.568 0.750 1891 1 -0.534 -1.415 0 0 -0.534 -1.415 -1.718 -0.939 1891 2 -0.200 -3.782 0 0 -0.200 -3.782 0.046 -1.875 1891 3 4.138 -1.845 0 0 4.138 -1.845 3.265 -1.058 1891 4 8.967 -0.786 0 0 8.967 -0.786 7.911 -0.182 1891 5 12.203 -2.738 0 0 12.203 -2.738 12.568 -0.713 1891 6 15.985 -4.168 0 0 15.985 -4.168 15.823 -2.670 1891 7 22.616 -1.546 0 0 22.616 -1.546 22.326 -0.175 1891 8 22.853 0.028 0 0 22.853 0.028 21.507 0.341 1891 9 16.825 -1.798 0 0 16.825 -1.798 16.196 -0.767 1891 10 12.121 -0.357 0 0 12.121 -0.357 11.511 0.694 1891 11 7.768 1.982 0 0 7.768 1.982 5.765 1.639 1891 12 NaN NaN NaN NaN NaN NaN -2.091 -1.910 1892 1 NaN NaN NaN NaN NaN NaN -0.785 -0.006 1892 2 NaN NaN NaN NaN NaN NaN 2.237 0.315 1892 3 NaN NaN NaN NaN NaN NaN 4.606 0.283 1892 4 NaN NaN NaN NaN NaN NaN 6.862 -1.231 1892 5 NaN NaN NaN NaN NaN NaN 12.563 -0.718 1892 6 NaN NaN NaN NaN NaN NaN 16.733 -1.760 1892 7 22.379 -1.783 0 0 22.379 -1.783 21.253 -1.248 1892 8 23.558 0.732 0 0 23.558 0.732 21.385 0.220 1892 9 19.255 0.632 0 0 19.255 0.632 17.720 0.758 1892 10 10.017 -2.461 0 0 10.017 -2.461 9.796 -1.022 1892 11 6.050 0.264 0 0 6.050 0.264 4.933 0.807 1892 12 -0.711 -2.190 0 0 -0.711 -2.190 -1.073 -0.891 1893 1 3.192 2.311 0 0 3.192 2.311 0.980 1.759 1893 2 0.154 -3.428 0 0 0.154 -3.428 0.633 -1.289 1893 3 2.738 -3.246 0 0 2.738 -3.246 2.103 -2.220 1893 4 7.052 -2.702 0 0 7.052 -2.702 5.965 -2.128 1893 5 12.796 -2.146 0 0 12.796 -2.146 12.438 -0.844 1893 6 20.056 -0.098 0 0 20.056 -0.098 17.953 -0.540 1893 7 23.405 -0.757 0 0 23.405 -0.757 21.543 -0.959 1893 8 24.176 1.350 0 0 24.176 1.350 21.324 0.158 1893 9 16.759 -1.864 0 0 16.759 -1.864 14.573 -2.390 1893 10 12.670 0.193 0 0 12.670 0.193 9.889 -0.929 1893 11 7.111 1.325 0 0 7.111 1.325 3.876 -0.250 1893 12 4.785 3.306 0 0 4.785 3.306 1.391 1.573 1894 1 -0.139 -1.020 0 0 -0.139 -1.020 -2.362 -1.583 1894 2 0.336 -3.246 0 0 0.336 -3.246 -1.420 -3.342 1894 3 5.932 -0.052 0 0 5.932 -0.052 3.432 -0.891 1894 4 10.259 0.506 0 0 10.259 0.506 9.032 0.939 1894 5 15.179 0.238 0 0 15.179 0.238 13.943 0.661 1894 6 15.630 -4.524 0 0 15.630 -4.524 14.569 -3.925 1894 7 24.462 0.300 0 0 24.462 0.300 22.608 0.106 1894 8 NaN NaN NaN NaN NaN NaN 21.220 0.055 1894 9 NaN NaN NaN NaN NaN NaN 15.961 -1.001 1894 10 NaN NaN NaN NaN NaN NaN 11.392 0.574 1894 11 NaN NaN NaN NaN NaN NaN 6.929 2.803 1894 12 NaN NaN NaN NaN NaN NaN -1.499 -1.318 1895 1 NaN NaN NaN NaN NaN NaN -2.162 -1.383 1895 2 4.585 1.003 0 0 4.585 1.003 2.223 0.301 1895 3 7.151 1.167 0 0 7.151 1.167 3.791 -0.532 1895 4 11.801 2.048 0 0 11.801 2.048 8.769 0.676 1895 5 15.914 0.973 0 0 15.914 0.973 13.869 0.588 1895 6 19.433 -0.720 0 0 19.433 -0.720 17.382 -1.111 1895 7 23.799 -0.363 0 0 23.799 -0.363 21.512 -0.989 1895 8 24.301 1.475 0 0 24.301 1.475 21.161 -0.004 1895 9 18.667 0.044 0 0 18.667 0.044 15.901 -1.062 1895 10 14.556 2.078 0 0 14.556 2.078 11.053 0.236 1895 11 6.019 0.232 0 0 6.019 0.232 2.572 -1.554 1895 12 1.846 0.367 0 0 1.846 0.367 -2.049 -1.868 1896 1 4.928 4.047 0 0 4.928 4.047 1.645 2.425 1896 2 6.360 2.778 0 0 6.360 2.778 3.263 1.341 1896 3 6.129 0.146 0 0 6.129 0.146 4.090 -0.233 1896 4 5.987 -3.766 0 0 5.987 -3.766 4.888 -3.205 1896 5 11.219 -3.723 0 0 11.219 -3.723 10.751 -2.531 1896 6 22.074 1.921 0 0 22.074 1.921 19.915 1.422 1896 7 23.513 -0.649 0 0 23.513 -0.649 22.455 -0.047 1896 8 23.423 0.597 0 0 23.423 0.597 20.316 -0.850 1896 9 19.317 0.694 0 0 19.317 0.694 15.922 -1.041 1896 10 15.054 2.576 0 0 15.054 2.576 11.969 1.151 1896 11 6.352 0.566 0 0 6.352 0.566 3.495 -0.631 1896 12 6.416 4.937 0 0 6.416 4.937 2.389 2.570 1897 1 3.100 2.219 0 0 3.100 2.219 -0.360 0.419 1897 2 1.726 -1.856 0 0 1.726 -1.856 0.173 -1.748 1897 3 1.900 -4.084 0 0 1.900 -4.084 0.164 -4.160 1897 4 9.517 -0.237 0 0 9.517 -0.237 9.309 1.216 1897 5 17.267 2.325 0 0 17.267 2.325 15.937 2.656 1897 6 18.065 -2.088 0 0 18.065 -2.088 17.149 -1.345 1897 7 22.556 -1.606 0 0 22.556 -1.606 21.646 -0.856 1897 8 24.409 1.583 0 0 24.409 1.583 22.170 1.005 1897 9 17.944 -0.678 0 0 17.944 -0.678 16.155 -0.808 1897 10 11.165 -1.313 0 0 11.165 -1.313 9.622 -1.196 1897 11 8.704 2.918 0 0 8.704 2.918 5.102 0.976 1897 12 2.519 1.040 0 0 2.519 1.040 -1.408 -1.226 1898 1 -1.129 -2.010 0 0 -1.129 -2.010 -4.348 -3.569 1898 2 6.706 3.125 0 0 6.706 3.125 3.981 2.059 1898 3 3.351 -2.632 0 0 3.351 -2.632 1.544 -2.779 1898 4 13.019 3.265 0 0 13.019 3.265 11.195 3.102 1898 5 12.599 -2.343 0 0 12.599 -2.343 11.793 -1.488 1898 6 19.988 -0.165 0 0 19.988 -0.165 18.549 0.055 1898 7 24.335 0.174 0 0 24.335 0.174 23.404 0.902 1898 8 24.561 1.736 0 0 24.561 1.736 22.916 1.751 1898 9 19.710 1.087 0 0 19.710 1.087 17.523 0.560 1898 10 12.776 0.298 0 0 12.776 0.298 10.283 -0.534 1898 11 6.237 0.451 0 0 6.237 0.451 3.166 -0.960 1898 12 1.147 -0.332 0 0 1.147 -0.332 -1.990 -1.809 1899 1 1.542 0.661 0 0 1.542 0.661 -0.081 0.698 1899 2 3.723 0.141 0 0 3.723 0.141 2.396 0.474 1899 3 5.455 -0.529 0 0 5.455 -0.529 4.200 -0.123 1899 4 10.113 0.360 0 0 10.113 0.360 9.358 1.265 1899 5 9.916 -5.025 0 0 9.916 -5.025 10.413 -2.868 1899 6 19.112 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