% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32696 % Primary Name: ARLINGTON 4NW % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.93310 +/- 0.00005 % Longitude: -98.25000 +/- 0.00005 % Elevation (m): 493.78 +/- 0.15 % # of Months: 43 % % Alternate Names: ARLINGTON % ARLINGTON 5 W % ARLINGTON 5 WSW % ARLINGTON 5W % Missing Station ID - 140326 % % IDs: coop - 140326 % ghcnd - USC00140326 % ncdc - 20007437 % nws - ARLK1 % nws - ARTK1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3c756fe9710786b4c3fd2f8fd81d39d9 % Raw Data Hash: b3927f1d3d5da539fa823fcdc70d5cf8 % Adj Data Hash: 86ba72e9023838b4a38c360a0ce8cdaa % % 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 2 NaN NaN NaN NaN NaN NaN 5.694 3.656 2009 3 NaN NaN NaN NaN NaN NaN 7.543 0.670 2009 4 NaN NaN NaN NaN NaN NaN 12.732 -0.780 2009 5 NaN NaN NaN NaN NaN NaN 18.252 -0.602 2009 6 NaN NaN NaN NaN NaN NaN 25.961 1.680 2009 7 NaN NaN NaN NaN NaN NaN 25.817 -1.415 2009 8 NaN NaN NaN NaN NaN NaN 24.848 -1.546 2009 9 NaN NaN NaN NaN NaN NaN 19.577 -1.867 2009 10 NaN NaN NaN NaN NaN NaN 11.239 -3.831 2009 11 NaN NaN NaN NaN NaN NaN 10.129 3.146 2009 12 NaN NaN NaN NaN NaN NaN -1.298 -2.689 2010 1 NaN NaN NaN NaN NaN NaN -2.523 -1.349 2010 2 -1.111 -1.556 0 0 -1.111 -1.556 -0.127 -2.165 2010 3 6.389 1.110 0 0 6.389 1.110 7.303 0.431 2010 4 14.667 2.748 0 0 14.667 2.748 16.088 2.576 2010 5 17.056 -0.206 0 0 17.056 -0.206 18.340 -0.514 2010 6 25.722 3.034 0 0 25.722 3.034 26.973 2.692 2010 7 26.056 0.417 0 0 26.056 0.417 28.048 0.816 2010 8 26.389 1.588 0 0 26.389 1.588 28.187 1.793 2010 9 21.722 1.872 0 0 21.722 1.872 22.827 1.383 2010 10 15.000 1.523 0 0 15.000 1.523 16.874 1.804 2010 11 6.389 0.998 0 0 6.389 0.998 7.942 0.958 2010 12 -0.111 0.091 0 0 -0.111 0.091 1.268 -0.122 2011 1 -2.500 0.266 0 0 -2.500 0.266 -2.201 -1.028 2011 2 -1.667 -2.111 0 0 -1.667 -2.111 0.065 -1.972 2011 3 6.722 1.443 0 0 6.722 1.443 7.736 0.864 2011 4 12.944 1.026 0 0 12.944 1.026 14.760 1.248 2011 5 17.556 0.294 0 0 17.556 0.294 18.751 -0.103 2011 6 25.389 2.701 0 0 25.389 2.701 27.519 3.238 2011 7 29.889 4.250 0 0 29.889 4.250 31.758 4.527 2011 8 27.222 2.421 0 0 27.222 2.421 29.439 3.046 2011 9 18.722 -1.128 0 0 18.722 -1.128 20.406 -1.037 2011 10 13.500 0.023 0 0 13.500 0.023 16.003 0.933 2011 11 6.333 0.943 0 0 6.333 0.943 7.506 0.523 2011 12 0.452 0.654 0 0 0.452 0.654 2.506 1.115 2012 1 1.760 4.526 0 0 1.760 4.526 2.680 3.853 2012 2 2.022 1.578 0 0 2.022 1.578 3.959 1.922 2012 3 12.592 7.313 0 0 12.592 7.313 13.558 6.686 2012 4 14.642 2.723 0 0 14.642 2.723 16.738 3.227 2012 5 20.681 3.419 0 0 20.681 3.419 22.068 3.214 2012 6 23.872 1.184 0 0 23.872 1.184 26.209 1.928 2012 7 28.503 2.864 0 0 28.503 2.864 30.959 3.727 2012 8 23.627 -1.173 0 0 23.627 -1.173 26.271 -0.123 2012 9 19.928 0.078 0 0 19.928 0.078 21.543 0.099 2012 10 12.316 -1.161 0 0 12.316 -1.161 14.453 -0.616 2012 11 7.770 2.379 0 0 7.770 2.379 9.328 2.344 2012 12 1.463 1.665 0 0 1.463 1.665 3.070 1.680 2013 1 -0.055 2.711 0 0 -0.055 2.711 1.123 2.297 2013 2 -0.325 -0.769 0 0 -0.325 -0.769 1.603 -0.435 2013 3 3.915 -1.365 0 0 3.915 -1.365 4.892 -1.980 2013 4 8.636 -3.282 1 0 NaN NaN 10.382 -3.129 2013 5 NaN NaN NaN NaN NaN NaN 18.012 -0.842 2013 6 23.992 1.304 0 0 23.992 1.304 25.340 1.059 2013 7 24.813 -0.826 0 0 24.813 -0.826 26.193 -1.039 2013 8 22.742 -2.058 1 0 NaN NaN 25.660 -0.733 2013 9 22.127 2.277 1 0 NaN NaN 23.234 1.790 2013 10 NaN NaN NaN NaN NaN NaN 14.778 -0.292