% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 172190 % Primary Name: GOLDENDALE WASHINGTON % Record Type: TAVG % Country: United States % State: WA % Latitude: 45.86720 +/- 0.00005 % Longitude: -120.72310 +/- 0.00005 % Elevation (m): 626.10 +/- 0.50 % # of Months: 65 % % IDs: ghcnd - USR0000WGLD % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 4b4efcaff7b85a1aeb15800346b01bb9 % Raw Data Hash: a5d3b67d7898f6d43f75a6c8864c2734 % Adj Data Hash: 9d27fda97449ce87be8770b814f57c27 % % 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 8 NaN NaN NaN NaN NaN NaN 18.950 1.320 2001 9 NaN NaN NaN NaN NaN NaN 16.023 1.784 2001 10 NaN NaN NaN NaN NaN NaN 8.259 -0.193 2001 11 NaN NaN NaN NaN NaN NaN 3.754 1.101 2001 12 NaN NaN NaN NaN NaN NaN 0.246 0.619 2002 1 NaN NaN NaN NaN NaN NaN -0.200 1.697 2002 2 NaN NaN NaN NaN NaN NaN 2.478 1.148 2002 3 NaN NaN NaN NaN NaN NaN 1.998 -1.516 2002 4 NaN NaN NaN NaN NaN NaN 6.611 -0.178 2002 5 NaN NaN NaN NaN NaN NaN 10.299 -0.731 2002 6 NaN NaN NaN NaN NaN NaN 15.333 0.619 2002 7 NaN NaN NaN NaN NaN NaN 19.577 1.463 2002 8 19.044 0.690 1 0 NaN NaN 17.573 -0.057 2002 9 14.740 -0.223 0 0 14.740 -0.223 14.729 0.490 2002 10 7.861 -1.315 0 0 7.861 -1.315 7.942 -0.510 2002 11 -2.925 -6.302 1 0 NaN NaN 3.498 0.845 2002 12 NaN NaN NaN NaN NaN NaN 1.233 1.606 2003 1 NaN NaN NaN NaN NaN NaN 1.770 3.667 2003 2 2.500 0.446 1 0 NaN NaN 2.637 1.307 2003 3 5.992 1.754 0 0 5.992 1.754 4.911 1.396 2003 4 7.753 0.241 0 0 7.753 0.241 6.048 -0.740 2003 5 11.258 -0.495 0 0 11.258 -0.495 11.007 -0.022 2003 6 16.935 1.497 0 0 16.935 1.497 16.015 1.301 2003 7 21.005 2.167 0 0 21.005 2.167 20.456 2.342 2003 8 19.973 1.619 0 0 19.973 1.619 18.803 1.173 2003 9 17.038 2.076 0 0 17.038 2.076 16.295 2.057 2003 10 11.052 1.875 0 0 11.052 1.875 10.753 2.301 2003 11 1.486 -1.890 1 0 NaN NaN 1.085 -1.568 2003 12 0.088 -0.263 1 0 NaN NaN 0.192 0.566 2004 1 -1.608 -0.434 0 0 -1.608 -0.434 -2.367 -0.469 2004 2 2.574 0.520 1 0 NaN NaN 2.245 0.915 2004 3 6.984 2.746 0 0 6.984 2.746 5.829 2.315 2004 4 9.513 2.001 0 0 9.513 2.001 8.466 1.677 2004 5 11.923 0.169 0 0 11.923 0.169 11.317 0.288 2004 6 21.100 5.662 1 0 NaN NaN 15.377 0.663 2004 7 20.635 1.797 0 0 20.635 1.797 19.989 1.875 2004 8 20.621 2.267 0 0 20.621 2.267 19.460 1.830 2004 9 14.048 -0.914 0 0 14.048 -0.914 13.766 -0.472 2004 10 10.546 1.370 0 0 10.546 1.370 9.633 1.180 2004 11 NaN NaN NaN NaN NaN NaN 3.659 1.006 2004 12 NaN NaN NaN NaN NaN NaN 1.948 2.321 2005 1 4.817 5.990 1 0 NaN NaN -0.441 1.457 2005 2 2.698 0.644 0 0 2.698 0.644 2.719 1.389 2005 3 6.413 2.175 0 0 6.413 2.175 5.628 2.114 2005 4 8.077 0.565 0 0 8.077 0.565 6.811 0.023 2005 5 13.126 1.372 0 0 13.126 1.372 12.355 1.325 2005 6 14.545 -0.893 0 0 14.545 -0.893 13.246 -1.468 2005 7 19.913 1.075 0 0 19.913 1.075 19.168 1.054 2005 8 19.895 1.541 0 0 19.895 1.541 19.022 1.392 2005 9 13.848 -1.114 0 0 13.848 -1.114 13.733 -0.506 2005 10 9.715 0.538 0 0 9.715 0.538 9.310 0.857 2005 11 3.372 -0.005 1 0 NaN NaN 1.875 -0.778 2005 12 NaN NaN NaN NaN NaN NaN -1.525 -1.152 2006 1 NaN NaN NaN NaN NaN NaN 1.397 3.294 2006 2 NaN NaN NaN NaN NaN NaN 0.899 -0.431 2006 3 7.395 3.157 1 0 NaN NaN 3.052 -0.462 2006 4 8.037 0.525 0 0 8.037 0.525 7.007 0.219 2006 5 12.819 1.066 0 0 12.819 1.066 11.990 0.961 2006 6 16.632 1.194 0 0 16.632 1.194 15.343 0.629 2006 7 20.724 1.886 0 0 20.724 1.886 20.112 1.998 2006 8 18.739 0.385 0 0 18.739 0.385 17.862 0.232 2006 9 15.328 0.366 0 0 15.328 0.366 15.181 0.942 2006 10 8.774 -0.402 0 0 8.774 -0.402 8.547 0.094 2006 11 6.178 2.801 1 0 NaN NaN 2.511 -0.142 2006 12 NaN NaN NaN NaN NaN NaN -0.513 -0.139 2007 1 NaN NaN NaN NaN NaN NaN -2.141 -0.244 2007 2 NaN NaN NaN NaN NaN NaN 2.718 1.388 2007 3 NaN NaN NaN NaN NaN NaN 5.333 1.819 2007 4 8.176 0.664 1 0 NaN NaN 6.568 -0.221 2007 5 12.479 0.726 0 0 12.479 0.726 11.977 0.947 2007 6 15.177 -0.261 0 0 15.177 -0.261 14.194 -0.521 2007 7 21.711 2.874 0 0 21.711 2.874 20.416 2.302 2007 8 18.448 0.095 0 0 18.448 0.095 17.270 -0.360 2007 9 14.308 -0.654 0 0 14.308 -0.654 14.039 -0.200 2007 10 NaN NaN NaN NaN NaN NaN 7.574 -0.878 2007 11 NaN NaN NaN NaN NaN NaN 2.659 0.006 2007 12 NaN NaN NaN NaN NaN NaN 0.035 0.408 2008 1 NaN NaN NaN NaN NaN NaN -2.666 -0.768 2008 2 NaN NaN NaN NaN NaN NaN 3.359 2.029 2008 3 NaN NaN NaN NaN NaN NaN 2.405 -1.110 2008 4 5.150 -2.362 1 0 NaN NaN 4.234 -2.554 2008 5 12.497 0.743 0 0 12.497 0.743 11.756 0.726 2008 6 14.520 -0.918 0 0 14.520 -0.918 13.383 -1.331 2008 7 19.237 0.399 0 0 19.237 0.399 18.775 0.661 2008 8 18.863 0.509 0 0 18.863 0.509 17.858 0.228 2008 9 15.262 0.299 0 0 15.262 0.299 14.921 0.682 2008 10 11.425 2.249 1 0 NaN NaN 8.497 0.045 2008 11 NaN NaN NaN NaN NaN NaN 4.807 2.154 2008 12 -2.577 -2.927 0 0 -2.577 -2.927 -2.089 -1.715 2009 1 -0.389 0.785 0 0 -0.389 0.785 -0.797 1.101 2009 2 1.679 -0.375 0 0 1.679 -0.375 1.482 0.151 2009 3 3.255 -0.983 0 0 3.255 -0.983 1.595 -1.919 2009 4 7.655 0.143 0 0 7.655 0.143 6.221 -0.567 2009 5 12.466 0.713 0 0 12.466 0.713 11.866 0.836 2009 6 20.013 4.575 1 0 NaN NaN 15.502 0.788 2009 7 NaN NaN NaN NaN NaN NaN 20.699 2.585 2009 8 NaN NaN NaN NaN NaN NaN 18.653 1.023 2009 9 NaN NaN NaN NaN NaN NaN 15.686 1.447 2009 10 NaN NaN NaN NaN NaN NaN 7.169 -1.284 2009 11 NaN NaN NaN NaN NaN NaN 3.010 0.357 2009 12 NaN NaN NaN NaN NaN NaN -2.676 -2.303 2010 1 NaN NaN NaN NaN NaN NaN 1.408 3.305 2010 2 NaN NaN NaN NaN NaN NaN 3.954 2.624 2010 3 NaN NaN NaN NaN NaN NaN 4.181 0.667 2010 4 NaN NaN NaN NaN NaN NaN 5.920 -0.868 2010 5 NaN NaN NaN NaN NaN NaN 9.414 -1.616 2010 6 NaN NaN NaN NaN NaN NaN 12.964 -1.750