% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36785 % Primary Name: LEWELLEN % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.32970 +/- 0.00005 % Longitude: -102.14420 +/- 0.00005 % Elevation (m): 1008.33 +/- 5.58 % # of Months: 69 % % IDs: coop - 254755 % ghcnd - USC00254755 % ncdc - 20013232 % nws - LEWN1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5bfbf3c09cdea19034152c464e7b5c82 % Raw Data Hash: 2cede6be4c970adb4f1c59273643f755 % Adj Data Hash: e488fce7e8f4745966642628fadbe4d5 % % 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 6 NaN NaN NaN NaN NaN NaN 20.299 0.227 2005 7 NaN NaN NaN NaN NaN NaN 24.945 1.353 2005 8 NaN NaN NaN NaN NaN NaN 22.434 0.011 2005 9 NaN NaN NaN NaN NaN NaN 19.096 2.087 2005 10 NaN NaN NaN NaN NaN NaN 11.229 0.784 2005 11 NaN NaN NaN NaN NaN NaN 5.598 3.161 2005 12 NaN NaN NaN NaN NaN NaN -1.972 0.216 2006 1 NaN NaN NaN NaN NaN NaN 2.569 6.885 2006 2 NaN NaN NaN NaN NaN NaN -1.329 -0.193 2006 3 NaN NaN NaN NaN NaN NaN 2.137 -0.041 2006 4 NaN NaN NaN NaN NaN NaN 11.283 2.774 2006 5 NaN NaN NaN NaN NaN NaN 16.067 1.658 2006 6 22.389 2.490 0 0 22.165 2.266 22.445 2.373 2006 7 25.444 2.026 0 0 25.220 1.801 25.675 2.082 2006 8 22.944 0.695 0 0 22.720 0.471 22.938 0.515 2006 9 14.944 -1.891 0 0 14.720 -2.116 14.342 -2.667 2006 10 8.889 -1.382 0 0 8.665 -1.607 9.701 -0.743 2006 11 3.222 0.959 0 0 2.998 0.735 3.534 1.097 2006 12 -1.389 0.972 1 0 NaN NaN -0.956 1.232 2007 1 -6.278 -1.788 0 0 -6.502 -2.012 -7.241 -2.924 2007 2 -2.778 -1.469 0 0 -3.002 -1.693 -3.001 -1.865 2007 3 8.889 6.884 0 0 8.665 6.659 7.191 5.012 2007 4 8.611 0.275 1 0 NaN NaN 7.747 -0.763 2007 5 16.333 2.098 0 0 16.109 1.874 16.096 1.687 2007 6 20.389 0.490 0 0 20.165 0.266 20.294 0.222 2007 7 24.389 0.970 0 0 24.165 0.746 24.873 1.281 2007 8 24.056 1.806 0 0 23.831 1.582 24.474 2.051 2007 9 19.167 2.331 0 0 18.942 2.106 18.658 1.648 2007 10 12.056 1.784 0 0 11.831 1.560 12.489 2.045 2007 11 4.000 1.737 0 0 3.776 1.512 4.479 2.043 2007 12 -6.389 -4.028 0 0 -6.613 -4.252 -5.395 -3.207 2008 1 -5.833 -1.344 0 0 -6.058 -1.568 -5.416 -1.099 2008 2 -0.222 1.087 0 0 -0.447 0.862 -0.501 0.634 2008 3 4.705 2.700 0 0 4.481 2.475 3.116 0.937 2008 4 8.667 0.330 1 0 NaN NaN 7.525 -0.985 2008 5 14.056 -0.180 0 0 13.831 -0.404 13.458 -0.950 2008 6 19.056 -0.843 0 0 18.831 -1.067 19.311 -0.761 2008 7 24.222 0.803 0 0 23.998 0.579 24.771 1.179 2008 8 22.056 -0.194 0 0 21.831 -0.418 22.008 -0.415 2008 9 16.778 -0.058 0 0 16.553 -0.282 16.388 -0.621 2008 10 10.111 -0.160 0 0 9.887 -0.384 10.721 0.277 2008 11 4.056 1.792 0 0 3.831 1.568 4.651 2.214 2008 12 -4.333 -1.972 0 0 -4.558 -2.196 -4.228 -2.040 2009 1 -1.722 2.768 0 0 -1.947 2.543 -1.630 2.686 2009 2 1.333 2.642 0 0 1.109 2.418 1.930 3.066 2009 3 4.056 2.050 0 0 3.831 1.826 2.994 0.815 2009 4 8.944 0.608 1 0 NaN NaN 7.783 -0.726 2009 5 15.556 1.320 0 0 15.331 1.096 14.726 0.317 2009 6 18.938 -0.960 0 0 18.714 -1.184 19.008 -1.063 2009 7 21.778 -1.641 0 0 21.553 -1.865 22.249 -1.344 2009 8 20.667 -1.583 0 0 20.442 -1.807 21.239 -1.184 2009 9 16.722 -0.114 0 0 16.498 -0.338 16.401 -0.608 2009 10 6.056 -4.216 0 0 5.831 -4.440 5.821 -4.624 2009 11 4.444 2.181 0 0 4.220 1.957 4.940 2.504 2009 12 -7.111 -4.750 0 0 -7.335 -4.974 -6.243 -4.055 2010 1 -3.222 1.268 0 0 -3.447 1.043 -2.742 1.574 2010 2 -3.278 -1.969 0 0 -3.502 -2.193 -2.640 -1.504 2010 3 5.056 3.050 0 0 4.831 2.826 3.507 1.328 2010 4 10.444 2.108 0 0 10.220 1.884 9.870 1.360 2010 5 13.889 -0.346 0 0 13.665 -0.571 12.866 -1.543 2010 6 20.833 0.935 0 0 20.609 0.711 20.841 0.769 2010 7 25.042 1.623 1 0 NaN NaN 24.139 0.547 2010 8 24.064 1.814 1 0 NaN NaN 23.791 1.368 2010 9 NaN NaN NaN NaN NaN NaN 17.898 0.889 2010 10 NaN NaN NaN NaN NaN NaN 12.669 2.224 2010 11 NaN NaN NaN NaN NaN NaN 2.435 -0.002 2010 12 NaN NaN NaN NaN NaN NaN -0.565 1.623 2011 1 NaN NaN NaN NaN NaN NaN -4.097 0.219 2011 2 NaN NaN NaN NaN NaN NaN -3.479 -2.343 2011 3 NaN NaN NaN NaN NaN NaN 3.232 1.053 2011 4 NaN NaN NaN NaN NaN NaN 8.469 -0.041 2011 5 NaN NaN NaN NaN NaN NaN 12.174 -2.234 2011 6 19.667 -0.232 0 1 20.297 0.399 20.114 0.042 2011 7 24.778 1.359 0 0 25.409 1.990 25.534 1.942 2011 8 23.278 1.028 0 0 23.909 1.659 24.352 1.929 2011 9 15.500 -1.336 0 0 16.131 -0.705 16.422 -0.587 2011 10 10.778 0.506 0 0 11.409 1.137 11.671 1.227 2011 11 2.889 0.626 0 0 3.520 1.256 3.432 0.995 2011 12 -2.890 -0.529 0 0 -2.259 0.102 -1.557 0.631 2012 1 -1.931 2.559 0 0 -1.300 3.190 -0.820 3.497 2012 2 0.011 1.320 0 0 0.642 1.951 -0.917 0.219 2012 3 7.166 5.161 0 0 7.797 5.791 8.566 6.387 2012 4 11.407 3.070 0 0 12.038 3.701 12.081 3.572 2012 5 15.410 1.175 0 0 16.041 1.806 16.307 1.898 2012 6 22.702 2.803 0 0 23.332 3.434 23.991 3.919 2012 7 25.745 2.326 0 0 26.376 2.957 26.686 3.094 2012 8 22.750 0.501 0 0 23.381 1.131 23.489 1.066 2012 9 17.925 1.089 0 0 18.556 1.720 18.193 1.183 2012 10 8.846 -1.425 1 0 NaN NaN 9.734 -0.711 2012 11 3.991 1.727 1 0 NaN NaN 5.106 2.669 2012 12 NaN NaN NaN NaN NaN NaN -1.764 0.424 2013 1 NaN NaN NaN NaN NaN NaN -3.206 1.110 2013 2 NaN NaN NaN NaN NaN NaN -0.793 0.342 2013 3 NaN NaN NaN NaN NaN NaN 1.906 -0.272 2013 4 NaN NaN NaN NaN NaN NaN 5.819 -2.690 2013 5 NaN NaN NaN NaN NaN NaN 14.735 0.326 2013 6 NaN NaN NaN NaN NaN NaN 21.109 1.037 2013 7 NaN NaN NaN NaN NaN NaN 23.441 -0.151 2013 8 NaN NaN NaN NaN NaN NaN 23.678 1.255 2013 9 NaN NaN NaN NaN NaN NaN 19.839 2.830 2013 10 NaN NaN NaN NaN NaN NaN 9.633 -0.811