% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34036 % Primary Name: EASTONVILLE 2 NNW % Record Type: TAVG % Country: United States % State: CO % Latitude: 39.10920 +/- 0.00005 % Longitude: -104.59970 +/- 0.00005 % Elevation (m): 2197.60 +/- 0.05 % # of Months: 40 % % Alternate Names: EASTONVILLE 1 NNW % % IDs: coop - 52494 % ghcnd - USC00052494 % ncdc - 20003609 % ncdc - 20003988 % nws - ESTC2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: cdffb3dd9dacba63750df43e0184d9c3 % Raw Data Hash: 82879674ccf5138dd898acbc28596174 % Adj Data Hash: ec66cf1284c548be09caf46cb8f49144 % % 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 2009 7 NaN NaN NaN NaN NaN NaN 20.940 -1.113 2009 8 NaN NaN NaN NaN NaN NaN 19.993 -0.837 2009 9 NaN NaN NaN NaN NaN NaN 15.509 -0.622 2009 10 NaN NaN NaN NaN NaN NaN 5.733 -4.188 2009 11 NaN NaN NaN NaN NaN NaN 4.658 2.200 2009 12 NaN NaN NaN NaN NaN NaN -4.539 -3.190 2010 1 NaN NaN NaN NaN NaN NaN -1.535 1.505 2010 2 NaN NaN NaN NaN NaN NaN -2.481 -1.947 2010 3 NaN NaN NaN NaN NaN NaN 2.958 0.838 2010 4 NaN NaN NaN NaN NaN NaN 8.133 0.680 2010 5 NaN NaN NaN NaN NaN NaN 11.652 -1.454 2010 6 NaN NaN NaN NaN NaN NaN 19.930 1.170 2010 7 22.056 2.982 0 0 22.110 3.036 22.653 0.599 2010 8 20.611 2.760 0 0 20.665 2.815 21.761 0.931 2010 9 17.722 4.570 1 0 NaN NaN 18.404 2.273 2010 10 10.667 3.726 0 0 10.721 3.780 11.861 1.941 2010 11 1.944 2.466 0 0 1.999 2.520 2.614 0.156 2010 12 -2.000 2.329 1 0 NaN NaN 1.042 2.391 2011 1 -5.056 0.964 0 0 -5.001 1.018 -2.809 0.231 2011 2 -5.278 -1.764 0 0 -5.224 -1.710 -2.470 -1.936 2011 3 2.216 3.076 0 0 2.270 3.130 4.259 2.139 2011 4 4.833 0.361 0 0 4.888 0.415 8.009 0.556 2011 5 7.333 -2.793 0 0 7.388 -2.739 10.989 -2.117 2011 6 15.278 -0.502 0 0 15.332 -0.448 19.663 0.903 2011 7 18.778 -0.296 0 0 18.832 -0.242 23.887 1.833 2011 8 18.278 0.427 0 0 18.332 0.481 23.179 2.349 2011 9 12.278 -0.874 0 0 12.332 -0.820 16.373 0.242 2011 10 5.890 -1.051 1 0 NaN NaN 10.545 0.624 2011 11 1.111 1.633 0 0 1.165 1.687 3.224 0.765 2011 12 -6.416 -2.088 0 0 -6.362 -2.033 -2.560 -1.211 2012 1 -2.098 3.921 0 0 -2.044 3.975 0.646 3.686 2012 2 -5.341 -1.828 1 0 NaN NaN -1.950 -1.416 2012 3 4.089 4.948 0 0 4.143 5.003 7.160 5.040 2012 4 7.152 2.679 1 0 NaN NaN 10.775 3.323 2012 5 10.566 0.440 0 0 10.620 0.494 14.617 1.511 2012 6 18.493 2.713 0 0 18.548 2.768 22.483 3.724 2012 7 NaN NaN NaN NaN NaN NaN 24.466 2.412 2012 8 17.542 -0.309 0 0 17.596 -0.254 21.977 1.147 2012 9 13.268 0.116 0 0 13.323 0.171 17.242 1.111 2012 10 5.992 -0.949 1 0 NaN NaN 9.273 -0.647 2012 11 3.312 3.833 0 0 3.366 3.887 5.361 2.902 2012 12 -4.342 -0.013 0 0 -4.288 0.041 -0.985 0.364 2013 1 -4.824 1.195 0 0 -4.770 1.250 -2.310 0.730 2013 2 -5.505 -1.992 0 4 -5.691 -2.178 -1.583 -1.049 2013 3 0.666 1.526 0 0 0.480 1.340 1.595 -0.525 2013 4 3.203 -1.269 0 0 3.017 -1.455 4.962 -2.491 2013 5 9.945 -0.181 0 0 9.759 -0.367 13.162 0.056 2013 6 15.938 0.158 1 0 NaN NaN 20.643 1.883 2013 7 18.497 -0.577 0 0 18.311 -0.763 22.167 0.114 2013 8 18.066 0.215 0 0 17.880 0.030 21.707 0.876 2013 9 15.140 1.988 0 0 14.954 1.802 18.188 2.056 2013 10 5.805 -1.136 1 0 NaN NaN 8.854 -1.066 2013 11 2.490 3.011 1 0 NaN NaN NaN NaN