% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34811 % Primary Name: GOLDEN 3SW % Record Type: TAVG % Country: United States % State: CO % Latitude: 39.72000 +/- 0.00005 % Longitude: -105.24560 +/- 0.00005 % Elevation (m): 2292.10 +/- 0.15 % # of Months: 73 % % Alternate Names: Missing Station ID - 53387 % % IDs: coop - 53387 % ghcnd - USC00053387 % ncdc - 30002672 % nws - GDEC2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c4156f10a85858f085d4ded826fe74ca % Raw Data Hash: d8d2e11f08f1ac13c1daee1aa8f5785d % Adj Data Hash: f3dcc7b5aa0c24e3870be2939170d570 % % 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 2005 7 NaN NaN NaN NaN NaN NaN 15.962 1.672 2005 8 NaN NaN NaN NaN NaN NaN 12.677 -0.477 2005 9 NaN NaN NaN NaN NaN NaN 10.601 1.209 2005 10 NaN NaN NaN NaN NaN NaN 5.491 1.396 2005 11 NaN NaN NaN NaN NaN NaN -1.388 1.297 2005 12 NaN NaN NaN NaN NaN NaN -6.875 -0.160 2006 1 NaN NaN NaN NaN NaN NaN -5.681 2.098 2006 2 NaN NaN NaN NaN NaN NaN -6.578 -0.128 2006 3 NaN NaN NaN NaN NaN NaN -3.857 0.115 2006 4 NaN NaN NaN NaN NaN NaN 2.851 2.127 2006 5 NaN NaN NaN NaN NaN NaN 7.640 1.379 2006 6 NaN NaN NaN NaN NaN NaN 12.854 1.708 2006 7 20.111 1.080 0 0 20.420 1.389 15.520 1.229 2006 8 18.444 0.550 0 0 18.754 0.859 12.884 -0.270 2006 9 11.722 -2.411 0 0 12.031 -2.102 7.107 -2.286 2006 10 7.056 -1.779 0 0 7.365 -1.470 3.494 -0.600 2006 11 3.444 1.388 0 0 3.754 1.697 -1.651 1.033 2006 12 -1.000 0.975 0 0 -0.691 1.284 -5.413 1.302 2007 1 -5.500 -2.463 0 0 -5.191 -2.153 -7.984 -0.206 2007 2 -0.444 1.265 0 0 -0.135 1.574 -4.895 1.555 2007 3 5.167 4.398 0 0 5.476 4.707 -0.755 3.217 2007 4 4.667 -0.798 0 0 4.976 -0.489 1.695 0.972 2007 5 10.500 -0.501 0 0 10.809 -0.192 6.344 0.084 2007 6 15.278 -0.608 0 0 15.587 -0.299 11.631 0.486 2007 7 NaN NaN NaN NaN NaN NaN 15.726 1.435 2007 8 19.111 1.216 0 0 19.420 1.525 14.487 1.333 2007 9 14.500 0.366 0 0 14.809 0.676 10.175 0.782 2007 10 8.722 -0.113 0 0 9.031 0.196 5.172 1.078 2007 11 3.889 1.832 0 0 4.198 2.141 -0.219 2.465 2007 12 -3.944 -1.970 0 0 -3.635 -1.661 -8.082 -1.367 2008 1 -4.222 -1.185 0 0 -3.913 -0.876 -9.327 -1.549 2008 2 -1.056 0.653 0 0 -0.746 0.963 -6.368 0.082 2008 3 0.889 0.121 0 0 1.198 0.430 -5.069 -1.096 2008 4 4.500 -0.964 0 0 4.809 -0.655 -0.801 -1.525 2008 5 9.222 -1.779 0 0 9.531 -1.470 4.830 -1.430 2008 6 15.333 -0.553 0 0 15.642 -0.244 10.680 -0.466 2008 7 19.447 0.415 1 0 NaN NaN 15.181 0.890 2008 8 17.278 -0.617 0 0 17.587 -0.308 13.251 0.097 2008 9 12.500 -1.634 0 0 12.809 -1.324 9.290 -0.103 2008 10 8.722 -0.113 0 0 9.031 0.196 4.967 0.873 2008 11 4.833 2.777 0 0 5.142 3.086 -0.407 2.277 2008 12 -2.611 -0.636 0 0 -2.302 -0.327 -6.732 -0.017 2009 1 0.000 3.037 0 0 0.309 3.347 -4.795 2.984 2009 2 1.444 3.153 0 0 1.754 3.463 -4.436 2.014 2009 3 3.111 2.343 0 0 3.420 2.652 -2.420 1.552 2009 4 4.167 -1.298 0 0 4.476 -0.989 0.235 -0.489 2009 5 10.722 -0.279 0 0 11.031 0.030 7.367 1.106 2009 6 13.278 -2.608 0 0 13.587 -2.299 9.809 -1.336 2009 7 17.167 -1.865 0 0 17.476 -1.556 14.153 -0.138 2009 8 17.111 -0.784 0 0 17.420 -0.475 12.640 -0.514 2009 9 13.444 -0.689 0 0 13.754 -0.380 9.283 -0.110 2009 10 3.891 -4.944 1 0 NaN NaN 1.733 -2.361 2009 11 4.889 2.832 0 0 5.198 3.141 -0.356 2.328 2009 12 -4.500 -2.525 0 0 -4.191 -2.216 -9.356 -2.641 2010 1 -0.278 2.760 0 0 0.031 3.069 -5.958 1.820 2010 2 -3.944 -2.235 0 0 -3.635 -1.926 -7.977 -1.527 2010 3 1.778 1.009 0 0 2.087 1.319 -3.619 0.353 2010 4 4.722 -0.742 0 0 5.031 -0.433 0.822 0.098 2010 5 8.000 -3.001 0 0 8.309 -2.692 4.968 -1.292 2010 6 16.500 0.614 1 0 NaN NaN 12.211 1.065 2010 7 19.833 0.802 0 4 19.186 0.154 15.151 0.860 2010 8 19.667 1.772 0 0 19.019 1.124 13.362 0.208 2010 9 17.278 3.144 0 0 16.630 2.496 11.213 1.820 2010 10 10.500 1.665 0 0 9.852 1.017 5.453 1.359 2010 11 2.556 0.499 0 0 1.908 -0.149 -3.294 -0.610 2010 12 1.056 3.030 0 0 0.408 2.382 -3.383 3.333 2011 1 -0.889 2.149 0 0 -1.537 1.501 -7.115 0.663 2011 2 -2.611 -0.902 0 0 -3.259 -1.550 -8.090 -1.640 2011 3 4.222 3.454 0 0 3.574 2.806 -2.191 1.781 2011 4 5.556 0.091 0 0 4.908 -0.557 0.351 -0.373 2011 5 7.833 -3.168 0 0 7.186 -3.816 4.242 -2.019 2011 6 16.611 0.725 0 0 15.963 0.077 11.390 0.245 2011 7 20.222 1.191 0 0 19.574 0.543 15.518 1.228 2011 8 21.278 3.383 0 0 20.630 2.735 14.624 1.470 2011 9 14.722 0.589 0 0 14.074 -0.059 9.683 0.290 2011 10 9.500 0.665 0 0 8.852 0.017 4.529 0.434 2011 11 3.444 1.388 0 0 2.797 0.740 -2.503 0.181 2011 12 -1.427 0.547 0 0 -2.075 -0.101 -6.638 0.078 2012 1 1.466 4.504 0 0 0.818 3.856 -4.894 2.884 2012 2 -2.331 -0.622 0 0 -2.979 -1.270 -6.887 -0.438 2012 3 6.780 6.012 1 0 NaN NaN -0.077 3.895 2012 4 6.300 0.836 1 0 NaN NaN 3.775 3.051 2012 5 NaN NaN NaN NaN NaN NaN 7.536 1.276 2012 6 22.995 7.109 1 0 NaN NaN 14.148 3.003 2012 7 NaN NaN NaN NaN NaN NaN 15.636 1.346 2012 8 20.089 2.194 0 0 19.441 1.546 13.942 0.788 2012 9 16.255 2.121 1 0 NaN NaN 10.061 0.669 2012 10 8.485 -0.350 1 0 NaN NaN 4.783 0.689 2012 11 NaN NaN NaN NaN NaN NaN 0.438 3.122 2012 12 NaN NaN NaN NaN NaN NaN -6.600 0.115 2013 1 NaN NaN NaN NaN NaN NaN -7.698 0.080 2013 2 NaN NaN NaN NaN NaN NaN -7.863 -1.413 2013 3 NaN NaN NaN NaN NaN NaN -3.823 0.150 2013 4 NaN NaN NaN NaN NaN NaN -0.870 -1.594 2013 5 NaN NaN NaN NaN NaN NaN 5.710 -0.551 2013 6 NaN NaN NaN NaN NaN NaN 12.805 1.660 2013 7 NaN NaN NaN NaN NaN NaN 15.015 0.724 2013 8 NaN NaN NaN NaN NaN NaN 13.679 0.525 2013 9 NaN NaN NaN NaN NaN NaN 10.722 1.329 2013 10 NaN NaN NaN NaN NaN NaN 3.156 -0.938