% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33046 % Primary Name: SAN ANTONIO % Record Type: TAVG % Country: United States % State: NV % Latitude: 38.30000 +/- 0.00005 % Longitude: -117.06670 +/- 0.00005 % Elevation (m): 1828.80 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 267254 % % IDs: coop - 267254 % ghcnd - USC00267254 % ncdc - 12003421 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 21147f7feb4cd4c0fb2e6dc8c6b0e907 % Raw Data Hash: 7686f885c1fddc3c2947a167ae9eef44 % Adj Data Hash: 6b99f38192bf4240b0d2a61ff9ee302a % % 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 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 NaN NaN NaN NaN NaN NaN 2.223 0.301 1895 3 NaN NaN NaN NaN NaN NaN 3.791 -0.532 1895 4 NaN NaN NaN NaN NaN NaN 8.769 0.676 1895 5 NaN NaN NaN NaN NaN NaN 13.869 0.588 1895 6 NaN NaN NaN NaN NaN NaN 17.382 -1.111 1895 7 NaN NaN NaN NaN NaN NaN 21.512 -0.989 1895 8 21.191 -0.147 1 0 NaN NaN 21.161 -0.004 1895 9 15.593 -1.542 0 0 15.593 -1.542 15.901 -1.062 1895 10 11.018 0.028 0 0 11.018 0.028 11.053 0.236 1895 11 1.315 -2.983 0 0 1.315 -2.983 2.572 -1.554 1895 12 -2.798 -2.790 0 0 -2.798 -2.790 -2.049 -1.868 1896 1 2.026 2.633 0 0 2.026 2.633 1.645 2.425 1896 2 NaN NaN NaN NaN NaN NaN 3.263 1.341 1896 3 4.192 -0.304 0 0 4.192 -0.304 4.090 -0.233 1896 4 6.017 -2.249 0 0 6.017 -2.249 4.888 -3.205 1896 5 9.785 -3.669 0 0 9.785 -3.669 10.751 -2.531 1896 6 20.998 2.332 0 0 20.998 2.332 19.915 1.422 1896 7 NaN NaN NaN NaN NaN NaN 22.455 -0.047 1896 8 20.831 -0.508 0 0 20.831 -0.508 20.316 -0.850 1896 9 NaN NaN NaN NaN NaN NaN 15.922 -1.041 1896 10 NaN NaN NaN NaN NaN NaN 11.969 1.151 1896 11 2.332 -1.967 0 0 2.332 -1.967 3.495 -0.631 1896 12 NaN NaN NaN NaN NaN NaN 2.389 2.570 1897 1 NaN NaN NaN NaN NaN NaN -0.360 0.419 1897 2 -0.658 -2.753 0 0 -0.658 -2.753 0.173 -1.748 1897 3 0.115 -4.381 1 0 NaN NaN 0.164 -4.160 1897 4 10.755 2.489 0 0 10.755 2.489 9.309 1.216 1897 5 17.250 3.796 0 0 17.250 3.796 15.937 2.656 1897 6 NaN NaN NaN NaN NaN NaN 17.149 -1.345 1897 7 21.955 -0.719 0 0 21.955 -0.719 21.646 -0.856 1897 8 24.573 3.234 0 0 24.573 3.234 22.170 1.005 1897 9 NaN NaN NaN NaN NaN NaN 16.155 -0.808 1897 10 10.508 -0.482 0 0 10.508 -0.482 9.622 -1.196 1897 11 5.748 1.450 0 0 5.748 1.450 5.102 0.976 1897 12 -3.244 -3.235 0 0 -3.244 -3.235 -1.408 -1.226 1898 1 -5.405 -4.799 0 0 -5.405 -4.799 -4.348 -3.569 1898 2 3.996 1.902 0 0 3.996 1.902 3.981 2.059 1898 3 1.519 -2.977 0 0 1.519 -2.977 1.544 -2.779 1898 4 11.258 2.992 0 0 11.258 2.992 11.195 3.102 1898 5 11.998 -1.456 0 0 11.998 -1.456 11.793 -1.488 1898 6 17.204 -1.462 1 0 NaN NaN 18.549 0.055 1898 7 24.237 1.563 1 0 NaN NaN 23.404 0.902 1898 8 24.963 3.625 0 0 24.963 3.625 22.916 1.751 1898 9 NaN NaN NaN NaN NaN NaN 17.523 0.560 1898 10 NaN NaN NaN NaN NaN NaN 10.283 -0.534 1898 11 NaN NaN NaN NaN NaN NaN 3.166 -0.960 1898 12 NaN NaN NaN NaN NaN NaN -1.990 -1.809 1899 1 NaN NaN NaN NaN NaN NaN -0.081 0.698 1899 2 NaN NaN NaN NaN NaN NaN 2.396 0.474 1899 3 NaN NaN NaN NaN NaN NaN 4.200 -0.123 1899 4 NaN NaN NaN NaN NaN NaN 9.358 1.265 1899 5 NaN NaN NaN NaN NaN NaN 10.413 -2.868 1899 6 NaN NaN NaN NaN NaN NaN 18.624 0.131 1899 7 NaN NaN NaN NaN NaN NaN 22.973 0.472 1899 8 NaN NaN NaN NaN NaN NaN 17.785 -3.381