% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171331 % Primary Name: BEAR VALLEY CALIFORNIA % Record Type: TAVG % Country: United States % State: CA % Latitude: 35.13970 +/- 0.00005 % Longitude: -118.62500 +/- 0.00005 % Elevation (m): 1219.20 +/- 0.50 % # of Months: 68 % % IDs: ghcnd - USR0000CBEY % % Sources: Global Historical Climatology Network - Daily % % Site Hash: f8e314c71718e58e0b8a82c89e219b34 % Raw Data Hash: bd183411a2964bcdd09d44c65f7f0c1d % Adj Data Hash: dbf065bbb2538147fd310c52339710ec % % 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 2001 3 NaN NaN NaN NaN NaN NaN 12.636 1.239 2001 4 NaN NaN NaN NaN NaN NaN 12.209 -1.217 2001 5 NaN NaN NaN NaN NaN NaN 19.731 3.270 2001 6 NaN NaN NaN NaN NaN NaN 21.668 1.748 2001 7 NaN NaN NaN NaN NaN NaN 23.047 -0.350 2001 8 NaN NaN NaN NaN NaN NaN 23.892 0.716 2001 9 NaN NaN NaN NaN NaN NaN 22.423 1.244 2001 10 NaN NaN NaN NaN NaN NaN 18.885 1.857 2001 11 NaN NaN NaN NaN NaN NaN 13.353 0.811 2001 12 NaN NaN NaN NaN NaN NaN 8.732 -0.667 2002 1 NaN NaN NaN NaN NaN NaN 9.045 0.142 2002 2 NaN NaN NaN NaN NaN NaN 12.305 1.937 2002 3 10.385 2.228 1 0 NaN NaN 11.152 -0.245 2002 4 10.638 0.453 0 0 10.257 0.071 13.711 0.286 2002 5 14.329 1.108 0 0 13.947 0.726 16.628 0.167 2002 6 20.400 3.720 0 0 20.018 3.338 20.694 0.775 2002 7 24.981 4.823 0 0 24.599 4.442 24.508 1.112 2002 8 23.316 3.380 0 0 22.934 2.998 22.916 -0.260 2002 9 21.073 3.135 0 0 20.692 2.753 22.814 1.636 2002 10 14.579 0.790 0 0 14.197 0.409 16.243 -0.785 2002 11 11.622 2.320 0 0 11.240 1.938 14.572 2.031 2002 12 5.438 -0.721 1 0 NaN NaN 9.052 -0.347 2003 1 NaN NaN NaN NaN NaN NaN 13.492 4.589 2003 2 4.227 -2.902 0 0 3.845 -3.283 10.453 0.085 2003 3 7.865 -0.292 0 0 7.483 -0.674 12.688 1.292 2003 4 6.658 -3.527 0 0 6.277 -3.909 11.504 -1.921 2003 5 14.266 1.045 0 0 13.884 0.663 16.901 0.440 2003 6 20.065 3.385 0 0 19.683 3.003 19.846 -0.073 2003 7 25.298 5.141 0 0 24.917 4.760 25.929 2.533 2003 8 23.419 3.483 0 0 23.038 3.101 24.772 1.596 2003 9 23.242 5.303 0 0 22.860 4.921 23.460 2.282 2003 10 19.316 5.527 0 0 18.934 5.146 20.524 3.496 2003 11 7.237 -2.065 0 0 6.855 -2.447 11.114 -1.427 2003 12 6.324 0.165 0 0 5.943 -0.217 9.317 -0.082 2004 1 6.505 0.842 0 0 6.123 0.460 9.599 0.696 2004 2 4.572 -2.556 0 0 4.191 -2.938 9.436 -0.932 2004 3 12.560 4.403 0 0 12.178 4.021 15.485 4.089 2004 4 11.882 1.696 0 0 11.500 1.314 15.310 1.884 2004 5 14.884 1.662 0 0 14.502 1.281 18.308 1.847 2004 6 19.392 2.712 0 0 19.010 2.330 20.439 0.519 2004 7 23.797 3.639 0 0 23.415 3.258 24.257 0.860 2004 8 23.158 3.222 0 0 22.776 2.840 23.218 0.042 2004 9 19.990 2.051 0 0 19.608 1.670 22.564 1.385 2004 10 12.900 -0.889 0 0 12.518 -1.270 16.243 -0.785 2004 11 7.470 -1.832 0 0 7.088 -2.213 11.027 -1.514 2004 12 8.153 1.994 0 0 7.772 1.612 9.789 0.390 2005 1 7.037 1.374 0 0 6.655 0.992 9.991 1.088 2005 2 5.875 -1.253 0 0 5.493 -1.635 10.986 0.618 2005 3 6.831 -1.326 0 0 6.449 -1.708 12.046 0.650 2005 4 8.055 -2.131 0 0 7.673 -2.512 13.356 -0.070 2005 5 10.294 -2.927 1 0 NaN NaN 17.660 1.199 2005 6 NaN NaN NaN NaN NaN NaN 18.788 -1.132 2005 7 NaN NaN NaN NaN NaN NaN 25.363 1.966 2005 8 NaN NaN NaN NaN NaN NaN 23.966 0.790 2005 9 NaN NaN NaN NaN NaN NaN 20.143 -1.035 2005 10 NaN NaN NaN NaN NaN NaN 17.195 0.167 2005 11 NaN NaN NaN NaN NaN NaN 14.555 2.014 2005 12 NaN NaN NaN NaN NaN NaN 10.789 1.390 2006 1 NaN NaN NaN NaN NaN NaN 9.967 1.064 2006 2 NaN NaN NaN NaN NaN NaN 11.981 1.613 2006 3 NaN NaN NaN NaN NaN NaN 8.392 -3.004 2006 4 NaN NaN NaN NaN NaN NaN 12.113 -1.312 2006 5 NaN NaN NaN NaN NaN NaN 18.092 1.631 2006 6 NaN NaN NaN NaN NaN NaN 22.773 2.853 2006 7 NaN NaN NaN NaN NaN NaN 27.092 3.695 2006 8 24.625 4.689 1 0 NaN NaN 23.103 -0.073 2006 9 20.430 2.491 0 2 20.964 3.025 22.060 0.881 2006 10 13.666 -0.123 0 0 14.200 0.412 16.716 -0.312 2006 11 10.067 0.765 0 0 10.601 1.299 14.586 2.045 2006 12 7.045 0.886 0 0 7.579 1.420 9.909 0.510 2007 1 5.294 -0.370 0 0 5.828 0.165 8.452 -0.451 2007 2 4.195 -2.934 0 0 4.729 -2.399 11.121 0.753 2007 3 4.208 -3.949 0 0 4.742 -3.414 14.067 2.671 2007 4 3.528 -6.657 0 0 4.063 -6.123 14.332 0.906 2007 5 14.994 1.772 0 0 15.528 2.306 17.548 1.087 2007 6 18.270 1.590 0 0 18.804 2.124 20.976 1.056 2007 7 22.400 2.243 0 0 22.934 2.777 25.001 1.604 2007 8 23.318 3.381 0 0 23.852 3.916 24.693 1.517 2007 9 17.447 -0.492 0 0 17.981 0.042 20.854 -0.324 2007 10 12.861 -0.927 0 0 13.396 -0.393 17.533 0.504 2007 11 11.877 2.575 0 0 12.411 3.109 14.206 1.665 2007 12 4.576 -1.584 0 0 5.110 -1.049 8.178 -1.221 2008 1 2.177 -3.486 0 0 2.712 -2.952 8.308 -0.595 2008 2 -1.069 -8.197 1 0 NaN NaN 10.643 0.275 2008 3 -4.213 -12.370 1 0 NaN NaN 12.794 1.398 2008 4 0.227 -9.959 1 0 NaN NaN 14.435 1.009 2008 5 9.377 -3.844 0 0 9.912 -3.310 16.672 0.211 2008 6 16.993 0.313 0 0 17.528 0.848 22.171 2.252 2008 7 22.824 2.667 0 0 23.358 3.201 24.855 1.458 2008 8 23.344 3.407 0 0 23.878 3.941 24.567 1.391 2008 9 21.345 3.406 0 0 21.879 3.940 23.176 1.997 2008 10 13.205 -0.584 0 0 13.739 -0.050 19.491 2.463 2008 11 8.582 -0.720 0 0 9.116 -0.186 15.165 2.624 2008 12 5.392 -0.767 0 0 5.926 -0.233 8.422 -0.977 2009 1 -4.890 -10.553 1 0 NaN NaN 11.881 2.978 2009 2 NaN NaN NaN NaN NaN NaN 9.864 -0.504 2009 3 NaN NaN NaN NaN NaN NaN 11.327 -0.070 2009 4 NaN NaN NaN NaN NaN NaN 13.492 0.066 2009 5 NaN NaN NaN NaN NaN NaN 19.396 2.935 2009 6 NaN NaN NaN NaN NaN NaN 18.656 -1.264 2009 7 NaN NaN NaN NaN NaN NaN 25.332 1.935 2009 8 NaN NaN NaN NaN NaN NaN 23.660 0.484 2009 9 NaN NaN NaN NaN NaN NaN 24.083 2.904 2009 10 NaN NaN NaN NaN NaN NaN 16.867 -0.162 2009 11 NaN NaN NaN NaN NaN NaN 13.606 1.065 2009 12 NaN NaN NaN NaN NaN NaN 8.466 -0.933 2010 1 NaN NaN NaN NaN NaN NaN 10.126 1.223