% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32946 % Primary Name: CALAVERAS RANGER STN % Record Type: TAVG % Country: United States % State: CA % Latitude: 38.20000 +/- 0.00005 % Longitude: -120.36670 +/- 0.00005 % Elevation (m): 1024.10 +/- 0.05 % # of Months: 71 % % Alternate Names: CALAVERAS RS % % IDs: coop - 41280 % ghcnd - USC00041280 % ncdc - 20002622 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: e6ecdf30e6fbe887514cd09a5f766aa4 % Raw Data Hash: ae11165281162bb5d6bb82189988bdfc % Adj Data Hash: 0481bc18395c660395160db8fa078df4 % % 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 1913 8 NaN NaN NaN NaN NaN NaN 22.111 0.566 1913 9 NaN NaN NaN NaN NaN NaN 19.823 1.068 1913 10 NaN NaN NaN NaN NaN NaN 14.409 0.752 1913 11 NaN NaN NaN NaN NaN NaN 8.218 0.352 1913 12 NaN NaN NaN NaN NaN NaN 3.735 -0.297 1914 1 NaN NaN NaN NaN NaN NaN 5.036 1.422 1914 2 NaN NaN NaN NaN NaN NaN 6.029 0.381 1914 3 NaN NaN NaN NaN NaN NaN 9.135 2.007 1914 4 NaN NaN NaN NaN NaN NaN 10.197 0.376 1914 5 NaN NaN NaN NaN NaN NaN 14.651 0.473 1914 6 NaN NaN NaN NaN NaN NaN 16.732 -1.809 1914 7 NaN NaN NaN NaN NaN NaN 21.460 -0.885 1914 8 22.763 2.105 0 0 22.763 2.105 21.320 -0.225 1914 9 15.997 -1.871 0 0 15.997 -1.871 17.450 -1.305 1914 10 NaN NaN NaN NaN NaN NaN 13.666 0.010 1914 11 NaN NaN NaN NaN NaN NaN 9.213 1.348 1914 12 NaN NaN NaN NaN NaN NaN 2.132 -1.901 1915 1 4.717 1.990 1 0 NaN NaN 3.557 -0.057 1915 2 4.486 -0.275 0 0 4.486 -0.275 5.546 -0.102 1915 3 8.614 2.373 1 0 NaN NaN 8.202 1.074 1915 4 9.652 0.719 0 0 9.652 0.719 10.135 0.315 1915 5 10.718 -2.572 0 0 10.718 -2.572 11.636 -2.542 1915 6 16.428 -1.225 0 0 16.428 -1.225 17.339 -1.202 1915 7 19.898 -1.559 0 0 19.898 -1.559 21.502 -0.843 1915 8 20.695 0.038 0 0 20.695 0.038 21.801 0.256 1915 9 15.902 -1.966 0 0 15.902 -1.966 17.816 -0.939 1915 10 13.676 0.907 0 0 13.676 0.907 14.461 0.804 1915 11 7.282 0.304 0 0 7.282 0.304 7.888 0.023 1915 12 4.983 1.838 1 0 NaN NaN 4.681 0.649 1916 1 1.334 -1.392 0 0 1.334 -1.392 1.445 -2.169 1916 2 7.509 2.748 0 0 7.509 2.748 7.315 1.667 1916 3 8.692 2.451 0 0 8.692 2.451 8.375 1.246 1916 4 10.130 1.197 0 0 10.130 1.197 10.716 0.896 1916 5 10.777 -2.513 0 0 10.777 -2.513 12.413 -1.764 1916 6 15.889 -1.764 0 0 15.889 -1.764 16.889 -1.652 1916 7 18.961 -2.497 0 0 18.961 -2.497 20.996 -1.349 1916 8 19.285 -1.372 0 0 19.285 -1.372 20.056 -1.489 1916 9 16.815 -1.052 0 0 16.815 -1.052 18.270 -0.485 1916 10 9.050 -3.718 0 0 9.050 -3.718 10.862 -2.794 1916 11 6.573 -0.404 0 0 6.573 -0.404 6.233 -1.632 1916 12 4.130 0.985 1 0 NaN NaN 2.308 -1.725 1917 1 1.333 -1.393 0 0 1.333 -1.393 0.734 -2.880 1917 2 3.709 -1.051 0 0 3.709 -1.051 4.889 -0.759 1917 3 3.056 -3.184 0 0 3.056 -3.184 4.444 -2.685 1917 4 6.433 -2.500 0 0 6.433 -2.500 8.522 -1.299 1917 5 8.145 -5.145 0 0 8.145 -5.145 10.981 -3.197 1917 6 16.850 -0.803 0 0 16.850 -0.803 18.535 -0.006 1917 7 23.032 1.575 0 0 23.032 1.575 24.135 1.790 1917 8 21.742 1.085 0 0 21.742 1.085 21.692 0.147 1917 9 17.128 -0.739 0 0 17.128 -0.739 18.940 0.185 1917 10 17.202 4.434 1 0 NaN NaN 15.930 2.274 1917 11 6.861 -0.116 1 0 NaN NaN 8.915 1.049 1917 12 5.756 2.612 1 0 NaN NaN 5.972 1.939 1918 1 3.463 0.736 1 0 NaN NaN 4.139 0.525 1918 2 4.071 -0.689 0 0 4.071 -0.689 4.984 -0.664 1918 3 6.140 -0.101 0 0 6.140 -0.101 6.813 -0.315 1918 4 9.048 0.115 0 0 9.048 0.115 9.916 0.096 1918 5 10.421 -2.869 1 0 NaN NaN 11.949 -2.229 1918 6 20.000 2.347 0 0 20.000 2.347 21.366 2.826 1918 7 19.803 -1.654 0 0 19.803 -1.654 21.000 -1.345 1918 8 19.597 -1.060 0 0 19.597 -1.060 20.117 -1.428 1918 9 16.955 -0.912 0 0 16.955 -0.912 17.958 -0.797 1918 10 13.633 0.864 0 0 13.633 0.864 14.425 0.769 1918 11 6.175 -0.802 0 0 6.175 -0.802 6.730 -1.135 1918 12 3.113 -0.032 0 0 3.113 -0.032 2.731 -1.302 1919 1 5.015 2.288 0 0 5.015 2.288 4.038 0.424 1919 2 3.561 -1.200 0 0 3.561 -1.200 4.174 -1.475 1919 3 3.268 -2.973 1 0 NaN NaN 4.958 -2.171 1919 4 10.548 1.615 0 0 10.548 1.615 10.167 0.347 1919 5 15.263 1.973 1 0 NaN NaN 15.460 1.282 1919 6 15.578 -2.075 0 0 15.578 -2.075 17.709 -0.832 1919 7 NaN NaN NaN NaN NaN NaN 22.561 0.216 1919 8 20.797 0.139 0 0 20.797 0.139 21.435 -0.110 1919 9 15.954 -1.913 0 0 15.954 -1.913 17.865 -0.890 1919 10 9.490 -3.278 0 0 9.490 -3.278 11.345 -2.311 1919 11 6.808 -0.169 0 0 6.808 -0.169 6.770 -1.096 1919 12 2.325 -0.820 1 0 NaN NaN 3.471 -0.562 1920 1 5.637 2.911 0 0 5.637 2.911 4.848 1.234 1920 2 3.546 -1.214 1 0 NaN NaN 5.749 0.101 1920 3 4.232 -2.009 0 0 4.232 -2.009 4.883 -2.245 1920 4 8.033 -0.900 0 0 8.033 -0.900 8.703 -1.118 1920 5 NaN NaN NaN NaN NaN NaN 14.083 -0.095 1920 6 NaN NaN NaN NaN NaN NaN 17.312 -1.228 1920 7 18.835 -2.622 0 0 18.835 -2.622 20.729 -1.616 1920 8 20.735 0.078 0 0 20.735 0.078 21.360 -0.186 1920 9 15.080 -2.787 0 0 15.080 -2.787 17.345 -1.410 1920 10 8.703 -4.065 0 0 8.703 -4.065 10.702 -2.955 1920 11 6.442 -0.536 0 0 6.442 -0.536 7.077 -0.789 1920 12 2.963 -0.182 1 0 NaN NaN 3.856 -0.177 1921 1 NaN NaN NaN NaN NaN NaN 3.551 -0.063 1921 2 NaN NaN NaN NaN NaN NaN 6.423 0.775 1921 3 NaN NaN NaN NaN NaN NaN 8.301 1.172 1921 4 NaN NaN NaN NaN NaN NaN 9.300 -0.520 1921 5 NaN NaN NaN NaN NaN NaN 12.249 -1.929 1921 6 NaN NaN NaN NaN NaN NaN 18.320 -0.221 1921 7 NaN NaN NaN NaN NaN NaN 22.855 0.510 1921 8 NaN NaN NaN NaN NaN NaN 20.595 -0.950 1921 9 NaN NaN NaN NaN NaN NaN 17.927 -0.828 1921 10 NaN NaN NaN NaN NaN NaN 14.746 1.090 1921 11 NaN NaN NaN NaN NaN NaN 8.784 0.919 1921 12 NaN NaN NaN NaN NaN NaN 5.154 1.122