% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29170 % Primary Name: THOUSAND OAKS 1 SW % Record Type: TAVG % Country: United States % State: CA % Latitude: 34.18190 +/- 0.00005 % Longitude: -118.89860 +/- 0.00005 % Elevation (m): 238.66 +/- 0.15 % # of Months: 66 % % Alternate Names: Missing Station ID - 48904 % % IDs: coop - 48904 % ghcnd - USC00048904 % ncdc - 30001757 % nws - CDTC1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6d34c9d18d6a47498d98cfd9f0a4b4f8 % Raw Data Hash: 565c6aceb166bb947ebd8d6126849ef0 % Adj Data Hash: 6294a8543f994d336a440f8e66547c52 % % 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 2003 10 NaN NaN NaN NaN NaN NaN 20.524 3.496 2003 11 NaN NaN NaN NaN NaN NaN 11.114 -1.427 2003 12 NaN NaN NaN NaN NaN NaN 9.317 -0.082 2004 1 NaN NaN NaN NaN NaN NaN 9.599 0.696 2004 2 NaN NaN NaN NaN NaN NaN 9.436 -0.932 2004 3 NaN NaN NaN NaN NaN NaN 15.485 4.089 2004 4 NaN NaN NaN NaN NaN NaN 15.310 1.884 2004 5 NaN NaN NaN NaN NaN NaN 18.308 1.847 2004 6 NaN NaN NaN NaN NaN NaN 20.439 0.519 2004 7 NaN NaN NaN NaN NaN NaN 24.257 0.860 2004 8 NaN NaN NaN NaN NaN NaN 23.218 0.042 2004 9 NaN NaN NaN NaN NaN NaN 22.564 1.385 2004 10 16.444 -1.122 0 0 16.521 -1.045 16.243 -0.785 2004 11 13.222 0.143 0 0 13.298 0.219 11.027 -1.514 2004 12 NaN NaN NaN NaN NaN NaN 9.789 0.390 2005 1 NaN NaN NaN NaN NaN NaN 9.991 1.088 2005 2 13.111 2.205 0 0 13.187 2.282 10.986 0.618 2005 3 13.778 1.844 0 0 13.854 1.920 12.046 0.650 2005 4 14.833 0.870 0 0 14.909 0.946 13.356 -0.070 2005 5 19.417 2.418 1 0 NaN NaN 17.660 1.199 2005 6 17.722 -2.735 0 0 17.798 -2.659 18.788 -1.132 2005 7 21.778 -2.157 0 0 21.854 -2.081 25.363 1.966 2005 8 21.500 -2.214 0 0 21.576 -2.138 23.966 0.790 2005 9 19.111 -2.605 0 0 19.187 -2.529 20.143 -1.035 2005 10 17.611 0.045 0 0 17.687 0.121 17.195 0.167 2005 11 16.500 3.421 0 0 16.576 3.497 14.555 2.014 2005 12 13.611 3.674 0 0 13.687 3.751 10.789 1.390 2006 1 11.489 2.049 1 0 NaN NaN 9.967 1.064 2006 2 10.720 -0.186 1 0 NaN NaN 11.981 1.613 2006 3 10.611 -1.323 0 0 10.687 -1.247 8.392 -3.004 2006 4 13.802 -0.161 0 0 13.878 -0.085 12.113 -1.312 2006 5 17.444 0.446 0 0 17.521 0.522 18.092 1.631 2006 6 21.944 1.487 0 0 22.021 1.563 22.773 2.853 2006 7 25.222 1.288 0 0 25.298 1.364 27.092 3.695 2006 8 21.333 -2.380 0 0 21.409 -2.304 23.103 -0.073 2006 9 20.889 -0.827 0 0 20.965 -0.751 22.060 0.881 2006 10 17.444 -0.122 0 0 17.521 -0.045 16.716 -0.312 2006 11 16.889 3.810 0 0 16.965 3.886 14.586 2.045 2006 12 12.833 2.897 0 0 12.909 2.973 9.909 0.510 2007 1 11.500 2.059 0 0 11.576 2.136 8.452 -0.451 2007 2 12.667 1.761 0 0 12.743 1.837 11.121 0.753 2007 3 15.556 3.622 0 0 15.632 3.698 14.067 2.671 2007 4 15.056 1.092 0 0 15.132 1.169 14.332 0.906 2007 5 16.667 -0.332 0 0 16.743 -0.256 17.548 1.087 2007 6 19.278 -1.180 0 0 19.354 -1.103 20.976 1.056 2007 7 22.222 -1.712 0 0 22.298 -1.636 25.001 1.604 2007 8 22.778 -0.936 0 0 22.854 -0.860 24.693 1.517 2007 9 20.333 -1.383 0 0 20.409 -1.307 20.854 -0.324 2007 10 18.722 1.156 0 0 18.798 1.232 17.533 0.504 2007 11 14.889 1.810 0 0 14.965 1.886 14.206 1.665 2007 12 11.167 1.230 0 0 11.243 1.306 8.178 -1.221 2008 1 11.278 1.837 0 0 11.354 1.913 8.308 -0.595 2008 2 12.611 1.705 0 0 12.687 1.782 10.643 0.275 2008 3 14.889 2.955 0 0 14.965 3.031 12.794 1.398 2008 4 15.944 1.981 0 0 16.021 2.057 14.435 1.009 2008 5 16.944 -0.054 0 0 17.021 0.022 16.672 0.211 2008 6 21.000 0.543 0 0 21.076 0.619 22.171 2.252 2008 7 21.889 -2.046 0 0 21.965 -1.969 24.855 1.458 2008 8 22.556 -1.158 0 1 22.296 -1.418 24.567 1.391 2008 9 21.868 0.152 0 0 21.608 -0.108 23.176 1.997 2008 10 20.389 2.823 0 0 20.129 2.563 19.491 2.463 2008 11 NaN NaN NaN NaN NaN NaN 15.165 2.624 2008 12 11.007 1.070 0 0 10.747 0.810 8.422 -0.977 2009 1 14.913 5.473 0 0 14.653 5.213 11.881 2.978 2009 2 12.132 1.226 1 0 NaN NaN 9.864 -0.504 2009 3 13.676 1.742 0 0 13.416 1.482 11.327 -0.070 2009 4 15.010 1.047 0 0 14.750 0.787 13.492 0.066 2009 5 18.662 1.664 0 0 18.402 1.404 19.396 2.935 2009 6 NaN NaN NaN NaN NaN NaN 18.656 -1.264 2009 7 22.035 -1.900 1 0 NaN NaN 25.332 1.935 2009 8 22.206 -1.507 1 0 NaN NaN 23.660 0.484 2009 9 23.840 2.123 1 0 NaN NaN 24.083 2.904 2009 10 18.268 0.702 1 0 NaN NaN 16.867 -0.162 2009 11 16.097 3.018 0 0 15.837 2.758 13.606 1.065 2009 12 NaN NaN NaN NaN NaN NaN 8.466 -0.933 2010 1 13.483 4.042 0 0 13.223 3.783 10.126 1.223 2010 2 14.188 3.283 1 0 NaN NaN 10.592 0.224 2010 3 15.270 3.337 1 0 NaN NaN 11.833 0.437 2010 4 14.095 0.132 0 0 13.835 -0.128 11.874 -1.552 2010 5 16.899 -0.100 1 0 NaN NaN 15.421 -1.040 2010 6 19.120 -1.337 1 0 NaN NaN 19.956 0.036 2010 7 20.617 -3.318 0 0 20.357 -3.578 23.416 0.019 2010 8 NaN NaN NaN NaN NaN NaN 22.813 -0.363 2010 9 26.100 4.384 1 0 NaN NaN 22.166 0.987 2010 10 NaN NaN NaN NaN NaN NaN 17.185 0.156 2010 11 NaN NaN NaN NaN NaN NaN 12.110 -0.431 2010 12 NaN NaN NaN NaN NaN NaN 10.116 0.717 2011 1 NaN NaN NaN NaN NaN NaN 10.462 1.559 2011 2 NaN NaN NaN NaN NaN NaN 8.955 -1.413 2011 3 NaN NaN NaN NaN NaN NaN 11.322 -0.074 2011 4 NaN NaN NaN NaN NaN NaN 13.787 0.361 2011 5 NaN NaN NaN NaN NaN NaN 15.289 -1.172 2011 6 NaN NaN NaN NaN NaN NaN 18.667 -1.253 2011 7 NaN NaN NaN NaN NaN NaN 23.833 0.436 2011 8 NaN NaN NaN NaN NaN NaN 23.838 0.662 2011 9 NaN NaN NaN NaN NaN NaN 22.511 1.333