% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37392 % Primary Name: MULLEN 15S % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.84580 +/- 0.00005 % Longitude: -101.04420 +/- 0.00005 % Elevation (m): 975.36 +/- 0.15 % # of Months: 44 % % Alternate Names: Missing Station ID - 255701 % % IDs: coop - 255701 % ghcnd - USC00255701 % ncdc - 30002594 % nws - MLSN1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d16d2980756928c078d691d776a0e3c5 % Raw Data Hash: 073c8e37bbf789d63d6d3225a32be7da % Adj Data Hash: 3223245d371ddae1cc775f4216aa9a11 % % 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 2004 12 NaN NaN NaN NaN NaN NaN -0.152 3.443 2005 1 NaN NaN NaN NaN NaN NaN -6.147 0.343 2005 2 NaN NaN NaN NaN NaN NaN 1.475 4.812 2005 3 NaN NaN NaN NaN NaN NaN 2.542 1.849 2005 4 NaN NaN NaN NaN NaN NaN 9.259 1.180 2005 5 NaN NaN NaN NaN NaN NaN 13.628 -0.806 2005 6 NaN NaN NaN NaN NaN NaN 20.792 0.797 2005 7 NaN NaN NaN NaN NaN NaN 24.768 1.199 2005 8 NaN NaN NaN NaN NaN NaN 22.901 0.413 2005 9 NaN NaN NaN NaN NaN NaN 19.539 2.714 2005 10 NaN NaN NaN NaN NaN NaN 11.312 0.982 2005 11 NaN NaN NaN NaN NaN NaN 4.690 2.760 2005 12 -3.611 0.752 0 0 -3.728 0.635 -4.085 -0.489 2006 1 2.944 10.202 0 0 2.827 10.085 2.487 8.978 2006 2 -3.167 0.938 0 0 -3.284 0.820 -2.873 0.464 2006 3 1.556 1.630 0 0 1.438 1.513 0.403 -0.290 2006 4 10.833 3.522 0 0 10.716 3.405 11.438 3.359 2006 5 15.000 1.334 0 0 14.883 1.217 15.982 1.548 2006 6 21.333 2.106 0 0 21.216 1.989 21.930 1.935 2006 7 25.111 2.309 0 0 24.994 2.192 26.570 3.001 2006 8 22.111 0.390 0 0 21.994 0.273 22.968 0.480 2006 9 13.167 -2.890 0 0 13.050 -3.007 14.374 -2.450 2006 10 7.389 -2.173 0 0 7.272 -2.290 9.222 -1.107 2006 11 1.944 0.782 0 0 1.827 0.665 2.697 0.767 2006 12 -2.611 1.752 0 0 -2.728 1.635 -1.304 2.292 2007 1 -6.278 0.980 0 0 -6.395 0.863 -5.655 0.836 2007 2 -5.278 -1.174 0 0 -5.395 -1.291 -5.898 -2.562 2007 3 6.722 6.797 0 0 6.605 6.680 6.281 5.588 2007 4 6.389 -0.922 0 0 6.272 -1.039 7.570 -0.508 2007 5 15.056 1.389 0 0 14.938 1.272 16.610 2.176 2007 6 18.556 -0.672 0 0 18.438 -0.789 20.671 0.676 2007 7 23.111 0.309 0 0 22.994 0.192 25.433 1.864 2007 8 22.389 0.668 0 0 22.272 0.551 23.791 1.303 2007 9 16.833 0.777 1 0 NaN NaN 17.980 1.156 2007 10 10.056 0.494 0 0 9.938 0.376 12.276 1.947 2007 11 3.111 1.949 0 0 2.994 1.832 4.239 2.309 2007 12 -5.722 -1.359 0 0 -5.839 -1.476 -4.609 -1.013 2008 1 -5.500 1.758 0 0 -5.617 1.641 -6.196 0.294 2008 2 -3.500 0.604 0 1 -3.305 0.799 -3.136 0.201 2008 3 1.444 1.519 0 0 1.640 1.714 1.520 0.827 2008 4 5.138 -2.173 0 0 5.334 -1.978 6.807 -1.271 2008 5 11.997 -1.669 0 0 12.192 -1.474 12.958 -1.476 2008 6 18.208 -1.019 1 0 NaN NaN 19.058 -0.937 2008 7 22.445 -0.356 0 0 22.640 -0.161 24.212 0.643 2008 8 20.900 -0.821 0 0 21.095 -0.625 22.427 -0.061 2008 9 15.478 -0.578 0 0 15.674 -0.383 16.498 -0.326 2008 10 8.389 -1.173 0 0 8.584 -0.978 10.534 0.205 2008 11 2.813 1.651 0 0 3.009 1.846 3.011 1.080 2008 12 -7.167 -2.803 0 0 -6.971 -2.608 -6.585 -2.989 2009 1 -3.722 3.536 0 0 -3.527 3.731 -4.622 1.869 2009 2 -1.000 3.104 0 0 -0.805 3.299 -0.728 2.609 2009 3 1.111 1.186 0 0 1.306 1.381 1.139 0.446 2009 4 5.871 -1.440 0 0 6.066 -1.245 7.124 -0.955 2009 5 12.779 -0.888 1 0 NaN NaN 14.688 0.254 2009 6 22.500 3.273 1 0 NaN NaN 18.634 -1.361 2009 7 21.307 -1.494 0 0 21.502 -1.299 21.340 -2.230 2009 8 NaN NaN NaN NaN NaN NaN 20.602 -1.886 2009 9 NaN NaN NaN NaN NaN NaN 16.612 -0.213 2009 10 NaN NaN NaN NaN NaN NaN 5.855 -4.475 2009 11 NaN NaN NaN NaN NaN NaN 5.628 3.698 2009 12 NaN NaN NaN NaN NaN NaN -7.910 -4.314 2010 1 NaN NaN NaN NaN NaN NaN -6.059 0.432 2010 2 NaN NaN NaN NaN NaN NaN -5.156 -1.820 2010 3 NaN NaN NaN NaN NaN NaN 3.246 2.553 2010 4 NaN NaN NaN NaN NaN NaN 10.320 2.241 2010 5 NaN NaN NaN NaN NaN NaN 13.349 -1.085 2010 6 NaN NaN NaN NaN NaN NaN 20.166 0.171 2010 7 NaN NaN NaN NaN NaN NaN 24.161 0.592