% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31816 % Primary Name: FELTON % Record Type: TAVG % Country: United States % State: CA % Latitude: 37.05060 +/- 0.00005 % Longitude: -122.07500 +/- 0.00005 % Elevation (m): 121.92 +/- 0.15 % # of Months: 92 % % Alternate Names: FELTON CITIZENS UTIL % Missing Station ID - 43004 % % IDs: coop - 43004 % ghcnd - USC00043004 % ncdc - 30001044 % nws - FCUC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: abf7bda0dc5195d4dc8fe735a24c1c24 % Raw Data Hash: b8043e520c1081ab93a7900f5733865e % Adj Data Hash: ba07382c87b597eef547c93e780f1a75 % % 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 1999 9 NaN NaN NaN NaN NaN NaN 20.006 0.869 1999 10 NaN NaN NaN NaN NaN NaN 18.145 1.889 1999 11 NaN NaN NaN NaN NaN NaN 13.245 1.211 1999 12 NaN NaN NaN NaN NaN NaN 9.804 1.205 2000 1 NaN NaN NaN NaN NaN NaN 10.086 1.786 2000 2 NaN NaN NaN NaN NaN NaN 11.460 0.977 2000 3 NaN NaN NaN NaN NaN NaN 12.210 0.570 2000 4 NaN NaN NaN NaN NaN NaN 14.615 1.404 2000 5 NaN NaN NaN NaN NaN NaN 16.819 1.033 2000 6 NaN NaN NaN NaN NaN NaN 19.537 1.343 2000 7 NaN NaN NaN NaN NaN NaN 18.820 -0.769 2000 8 NaN NaN NaN NaN NaN NaN 19.980 0.456 2000 9 18.333 0.283 0 0 18.319 0.269 20.345 1.209 2000 10 NaN NaN NaN NaN NaN NaN 15.822 -0.434 2000 11 9.889 -1.058 0 0 9.087 -1.860 10.353 -1.680 2000 12 9.833 2.321 0 0 9.144 1.631 9.885 1.287 2001 1 7.889 0.675 0 0 7.339 0.124 8.477 0.177 2001 2 9.222 -0.174 0 0 8.762 -0.635 10.092 -0.390 2001 3 13.333 2.779 0 0 13.184 2.629 13.304 1.664 2001 4 11.722 -0.402 0 0 12.045 -0.080 11.858 -1.353 2001 5 17.611 2.910 0 0 18.149 3.448 19.581 3.795 2001 6 18.667 1.559 0 0 19.102 1.994 19.988 1.794 2001 7 NaN NaN NaN NaN NaN NaN 19.587 -0.003 2001 8 19.000 0.562 0 0 19.306 0.868 19.845 0.322 2001 9 17.778 -0.273 0 0 17.764 -0.287 19.273 0.136 2001 10 16.056 0.886 0 0 15.515 0.345 17.875 1.619 2001 11 12.833 1.886 0 0 12.032 1.085 13.248 1.215 2001 12 9.333 1.821 0 0 8.644 1.131 9.285 0.687 2002 1 7.778 0.563 0 0 7.228 0.013 8.130 -0.170 2002 2 11.111 1.715 0 0 10.651 1.254 11.626 1.143 2002 3 10.389 -0.165 0 1 10.420 -0.134 11.413 -0.227 2002 4 12.556 0.431 0 0 12.488 0.363 13.477 0.266 2002 5 14.889 0.188 0 0 14.776 0.075 15.544 -0.243 2002 6 17.333 0.225 0 0 17.242 0.134 18.559 0.365 2002 7 18.667 0.163 0 0 18.593 0.090 20.352 0.763 2002 8 18.778 0.340 0 0 18.713 0.276 19.842 0.318 2002 9 NaN NaN NaN NaN NaN NaN 20.587 1.450 2002 10 14.778 -0.392 0 0 14.892 -0.278 16.570 0.314 2002 11 12.778 1.831 0 0 12.947 1.999 13.468 1.435 2002 12 9.833 2.321 0 0 9.979 2.466 9.977 1.379 2003 1 12.889 5.675 0 0 13.005 5.790 11.452 3.152 2003 2 10.056 0.659 0 0 10.153 0.756 11.015 0.533 2003 3 11.833 1.279 0 0 11.865 1.311 12.916 1.275 2003 4 11.389 -0.736 0 0 11.321 -0.804 11.579 -1.631 2003 5 15.667 0.966 0 0 15.553 0.853 16.163 0.376 2003 6 17.278 0.170 0 0 17.186 0.078 19.031 0.837 2003 7 19.778 1.274 0 0 19.704 1.201 21.517 1.928 2003 8 19.778 1.340 0 0 19.713 1.276 20.370 0.846 2003 9 20.000 1.949 0 0 20.003 1.952 21.222 2.086 2003 10 NaN NaN NaN NaN NaN NaN 18.592 2.336 2003 11 11.222 0.275 0 0 11.391 0.444 11.182 -0.851 2003 12 9.556 2.043 0 0 9.701 2.189 9.636 1.037 2004 1 9.333 2.119 0 0 9.449 2.235 8.959 0.659 2004 2 9.722 0.326 0 0 9.819 0.423 10.747 0.265 2004 3 14.389 3.835 0 0 14.420 3.866 15.341 3.701 2004 4 14.222 2.098 0 0 14.154 2.030 15.226 2.015 2004 5 15.667 0.966 0 0 15.553 0.853 16.639 0.853 2004 6 17.556 0.448 0 0 17.464 0.356 18.458 0.264 2004 7 19.278 0.774 0 0 19.204 0.701 20.245 0.656 2004 8 19.944 1.507 0 0 19.880 1.442 20.496 0.972 2004 9 18.611 0.560 0 0 18.614 0.563 20.947 1.810 2004 10 14.222 -0.948 0 0 14.336 -0.834 15.946 -0.310 2004 11 10.667 -0.280 0 0 10.835 -0.112 11.573 -0.460 2004 12 9.278 1.766 0 0 9.423 1.911 9.487 0.889 2005 1 9.778 2.563 0 0 9.894 2.679 8.521 0.221 2005 2 11.500 2.104 0 0 11.597 2.201 12.162 1.680 2005 3 13.333 2.779 0 0 13.365 2.811 13.240 1.599 2005 4 12.833 0.709 0 0 12.765 0.641 12.927 -0.283 2005 5 15.778 1.077 0 0 15.665 0.964 16.422 0.635 2005 6 16.000 -1.108 0 0 15.908 -1.200 17.536 -0.657 2005 7 19.389 0.886 0 0 19.315 0.812 21.388 1.799 2005 8 18.944 0.507 0 0 18.880 0.442 20.334 0.810 2005 9 16.556 -1.495 0 0 16.559 -1.492 18.343 -0.793 2005 10 14.722 -0.448 0 0 14.836 -0.334 16.545 0.289 2005 11 12.611 1.664 0 0 12.780 1.833 13.603 1.570 2005 12 9.944 2.432 0 0 10.090 2.578 10.619 2.021 2006 1 8.833 1.619 0 0 8.949 1.735 9.906 1.606 2006 2 10.000 0.604 0 0 10.097 0.701 11.658 1.176 2006 3 8.833 -1.721 0 0 8.865 -1.689 9.505 -2.135 2006 4 12.000 -0.125 0 0 11.932 -0.192 12.739 -0.472 2006 5 15.333 0.633 0 0 15.220 0.519 16.925 1.138 2006 6 18.056 0.948 0 0 17.964 0.856 19.915 1.721 2006 7 20.278 1.774 0 0 20.204 1.701 22.378 2.789 2006 8 17.889 -0.549 0 0 17.825 -0.613 19.493 -0.031 2006 9 17.000 -1.051 0 0 17.003 -1.048 19.389 0.252 2006 10 13.833 -1.337 0 0 13.947 -1.223 16.134 -0.122 2006 11 11.722 0.775 0 0 11.891 0.944 12.440 0.407 2006 12 8.111 0.599 0 0 8.256 0.744 9.176 0.578 2007 1 6.778 -0.437 0 0 6.894 -0.321 8.114 -0.186 2007 2 9.056 -0.341 0 0 9.153 -0.244 11.003 0.521 2007 3 12.667 2.112 0 0 12.698 2.144 13.541 1.901 2007 4 12.778 0.653 0 0 12.710 0.585 13.768 0.557 2007 5 15.500 0.799 0 0 15.387 0.686 16.447 0.660 2007 6 17.111 0.003 0 0 17.019 -0.088 18.632 0.438 2007 7 19.333 0.830 0 0 19.260 0.756 20.325 0.736 2007 8 19.111 0.673 0 0 19.047 0.609 20.521 0.997 2007 9 16.889 -1.162 0 0 16.892 -1.159 19.230 0.093 2007 10 13.667 -1.503 0 0 13.781 -1.389 15.697 -0.559 2007 11 11.000 0.053 0 0 11.169 0.222 13.240 1.206 2007 12 6.667 -0.845 0 0 6.812 -0.700 8.313 -0.285 2008 1 6.667 -0.548 0 0 6.783 -0.432 8.026 -0.274 2008 2 8.611 -0.785 0 0 8.708 -0.688 10.671 0.189 2008 3 9.444 -1.110 0 0 9.476 -1.078 11.793 0.153 2008 4 11.444 -0.680 0 0 11.377 -0.748 13.090 -0.120 2008 5 15.722 1.021 0 0 15.609 0.908 16.390 0.603 2008 6 18.333 1.225 0 0 18.242 1.134 19.257 1.063 2008 7 19.556 1.052 0 0 19.482 0.979 20.298 0.709 2008 8 19.667 1.229 0 0 19.602 1.165 20.708 1.184 2008 9 NaN NaN NaN NaN NaN NaN 20.442 1.305 2008 10 NaN NaN NaN NaN NaN NaN 17.566 1.310 2008 11 NaN NaN NaN NaN NaN NaN 13.765 1.732 2008 12 NaN NaN NaN NaN NaN NaN 7.974 -0.625 2009 1 NaN NaN NaN NaN NaN NaN 10.067 1.767 2009 2 NaN NaN NaN NaN NaN NaN 10.610 0.128 2009 3 NaN NaN NaN NaN NaN NaN 11.583 -0.058 2009 4 NaN NaN NaN NaN NaN NaN 13.402 0.191 2009 5 NaN NaN NaN NaN NaN NaN 16.954 1.167 2009 6 NaN NaN NaN NaN NaN NaN 18.241 0.048 2009 7 NaN NaN NaN NaN NaN NaN 19.867 0.278 2009 8 NaN NaN NaN NaN NaN NaN 20.476 0.952