% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37358 % Primary Name: BAYARD 4 NNE % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.81500 +/- 0.00005 % Longitude: -103.29030 +/- 0.00005 % Elevation (m): 1178.66 +/- 0.15 % # of Months: 67 % % Alternate Names: BAYARD 4NNE % Missing Station ID - 250587 % % IDs: coop - 250587 % ghcnd - USC00250587 % ncdc - 30001234 % nws - BAYN1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a762eb8b1a5c66d6efd123dc7eeac351 % Raw Data Hash: ed4f8809ff1f79ac4dbd7ea7719c996f % Adj Data Hash: 471117dbd6f6e0984ece6a360ba8f363 % % 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 2000 12 NaN NaN NaN NaN NaN NaN -6.517 -3.083 2001 1 NaN NaN NaN NaN NaN NaN -2.497 3.378 2001 2 NaN NaN NaN NaN NaN NaN -5.181 -2.498 2001 3 NaN NaN NaN NaN NaN NaN 1.633 0.868 2001 4 NaN NaN NaN NaN NaN NaN 8.361 1.305 2001 5 NaN NaN NaN NaN NaN NaN 13.809 0.624 2001 6 NaN NaN NaN NaN NaN NaN 18.789 -0.064 2001 7 NaN NaN NaN NaN NaN NaN 24.660 1.940 2001 8 NaN NaN NaN NaN NaN NaN 23.312 1.580 2001 9 NaN NaN NaN NaN NaN NaN 17.415 1.408 2001 10 NaN NaN NaN NaN NaN NaN 10.196 0.776 2001 11 NaN NaN NaN NaN NaN NaN 4.423 3.066 2001 12 -1.177 1.305 1 0 NaN NaN -2.048 1.386 2002 1 -1.444 3.478 0 0 -1.444 3.478 -2.750 3.125 2002 2 0.278 2.009 0 0 0.278 2.009 0.036 2.719 2002 3 0.056 -1.663 0 0 0.056 -1.663 -3.863 -4.629 2002 4 9.556 1.548 0 0 9.556 1.548 7.966 0.911 2002 5 13.278 -0.860 0 0 13.278 -0.860 11.644 -1.542 2002 6 23.389 3.583 0 0 23.389 3.583 21.590 2.736 2002 7 25.222 1.550 0 0 25.222 1.550 25.398 2.678 2002 8 22.000 -0.684 0 0 22.000 -0.684 21.808 0.076 2002 9 17.167 0.207 0 0 17.167 0.207 16.407 0.400 2002 10 6.333 -4.039 0 0 6.333 -4.039 6.073 -3.347 2002 11 4.094 1.784 1 0 NaN NaN 2.392 1.035 2002 12 -0.222 2.260 0 0 -0.222 2.260 -0.334 3.101 2003 1 0.389 5.311 0 0 0.389 5.311 -2.261 3.613 2003 2 -3.222 -1.491 0 0 -3.222 -1.491 -3.826 -1.143 2003 3 6.889 5.171 0 0 6.889 5.171 2.026 1.260 2003 4 9.111 1.103 0 0 9.111 1.103 8.949 1.894 2003 5 15.056 0.918 0 0 15.056 0.918 13.221 0.036 2003 6 17.556 -2.250 0 0 17.556 -2.250 16.989 -1.864 2003 7 26.167 2.495 0 0 26.167 2.495 25.135 2.415 2003 8 24.000 1.316 0 0 24.000 1.316 24.050 2.318 2003 9 16.018 -0.941 0 0 16.018 -0.941 15.203 -0.804 2003 10 15.650 5.278 1 0 NaN NaN 12.508 3.088 2003 11 0.944 -1.365 0 0 0.944 -1.365 -0.532 -1.889 2003 12 -1.778 0.704 0 0 -1.778 0.704 -1.034 2.400 2004 1 -2.667 2.256 0 0 -2.667 2.256 -3.931 1.943 2004 2 -0.444 1.286 0 0 -0.444 1.286 -1.252 1.431 2004 3 7.278 5.560 0 0 7.278 5.560 4.396 3.630 2004 4 10.056 2.048 0 0 10.056 2.048 8.871 1.816 2004 5 15.833 1.696 0 0 15.833 1.696 14.029 0.843 2004 6 18.722 -1.083 0 0 18.722 -1.083 16.774 -2.079 2004 7 22.389 -1.283 0 0 22.389 -1.283 22.176 -0.543 2004 8 20.167 -2.517 0 0 20.167 -2.517 19.810 -1.922 2004 9 15.888 -1.072 1 0 NaN NaN 16.897 0.890 2004 10 11.278 0.906 0 0 11.278 0.906 10.881 1.461 2004 11 2.889 0.579 0 0 2.889 0.579 2.212 0.854 2004 12 -0.389 2.093 0 0 -0.389 2.093 -0.410 3.024 2005 1 -2.000 2.922 0 0 -2.000 2.922 -4.760 1.114 2005 2 1.584 3.315 1 0 NaN NaN 1.533 4.216 2005 3 4.500 2.782 0 0 4.500 2.782 2.397 1.632 2005 4 7.889 -0.119 0 0 7.889 -0.119 7.566 0.511 2005 5 12.710 -1.428 1 0 NaN NaN 12.205 -0.980 2005 6 19.611 -0.195 0 0 19.611 -0.195 19.170 0.317 2005 7 NaN NaN NaN NaN NaN NaN 23.868 1.148 2005 8 22.111 -0.573 0 0 22.111 -0.573 21.459 -0.273 2005 9 19.222 2.263 0 0 19.222 2.263 17.904 1.897 2005 10 10.444 0.072 0 0 10.444 0.072 10.470 1.050 2005 11 6.613 4.304 0 0 6.613 4.304 4.485 3.128 2005 12 -3.167 -0.685 0 0 -3.167 -0.685 -3.628 -0.194 2006 1 1.000 5.922 0 0 1.000 5.922 1.566 7.440 2006 2 -2.167 -0.436 0 0 -2.167 -0.436 -3.132 -0.449 2006 3 1.333 -0.385 0 0 1.333 -0.385 0.719 -0.047 2006 4 10.389 2.381 0 0 10.389 2.381 10.131 3.076 2006 5 14.611 0.473 0 0 14.611 0.473 14.659 1.474 2006 6 22.000 2.194 0 0 22.000 2.194 21.300 2.447 2006 7 24.333 0.661 0 0 24.333 0.661 25.353 2.633 2006 8 22.389 -0.295 0 0 22.389 -0.295 22.130 0.398 2006 9 13.444 -3.515 0 0 13.444 -3.515 13.454 -2.553 2006 10 10.111 -0.261 0 0 10.111 -0.261 8.400 -1.020 2006 11 3.278 0.968 0 0 3.278 0.968 2.267 0.909 2006 12 -0.222 2.260 0 0 -0.222 2.260 -1.592 1.842 2007 1 -3.667 1.256 0 0 -3.667 1.256 -5.863 0.012 2007 2 -2.389 -0.658 0 0 -2.389 -0.658 -4.094 -1.410 2007 3 7.778 6.060 0 0 7.778 6.060 6.209 5.443 2007 4 7.278 -0.730 0 0 7.278 -0.730 6.495 -0.560 2007 5 15.722 1.585 0 0 15.722 1.585 15.226 2.041 2007 6 20.500 0.694 0 0 20.500 0.694 20.185 1.332 2007 7 24.611 0.939 0 0 24.611 0.939 25.392 2.672 2007 8 NaN NaN NaN NaN NaN NaN 23.743 2.011 2007 9 NaN NaN NaN NaN NaN NaN 17.372 1.365 2007 10 NaN NaN NaN NaN NaN NaN 11.294 1.874 2007 11 NaN NaN NaN NaN NaN NaN 3.485 2.128 2007 12 NaN NaN NaN NaN NaN NaN -5.852 -2.418 2008 1 NaN NaN NaN NaN NaN NaN -7.085 -1.211 2008 2 NaN NaN NaN NaN NaN NaN -2.455 0.228 2008 3 NaN NaN NaN NaN NaN NaN 1.489 0.723 2008 4 NaN NaN NaN NaN NaN NaN 6.218 -0.837 2008 5 NaN NaN NaN NaN NaN NaN 11.929 -1.256 2008 6 NaN NaN NaN NaN NaN NaN 17.702 -1.151 2008 7 NaN NaN NaN NaN NaN NaN 23.693 0.973