% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29084 % Primary Name: DE QUEEN DAM % Record Type: TAVG % Country: United States % State: AR % Latitude: 34.10030 +/- 0.00005 % Longitude: -94.37250 +/- 0.00005 % Elevation (m): 169.77 +/- 0.15 % # of Months: 51 % % Alternate Names: Missing Station ID - 31952 % % IDs: coop - 31952 % ghcnd - USC00031952 % ncdc - 20000470 % nws - DQOA4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a2c647236ad62016eb96cc0c4f9d039b % Raw Data Hash: 5587c647b8e4c909c943c9602d316d4e % Adj Data Hash: f7956221bec0b8af94a3029020a43fc8 % % 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 2001 9 NaN NaN NaN NaN NaN NaN 22.546 -0.578 2001 10 NaN NaN NaN NaN NaN NaN 16.004 -0.864 2001 11 NaN NaN NaN NaN NaN NaN 13.264 2.780 2001 12 NaN NaN NaN NaN NaN NaN 7.834 1.782 2002 1 NaN NaN NaN NaN NaN NaN 5.899 1.590 2002 2 NaN NaN NaN NaN NaN NaN 5.764 -0.977 2002 3 NaN NaN NaN NaN NaN NaN 9.231 -1.788 2002 4 NaN NaN NaN NaN NaN NaN 18.320 1.768 2002 5 NaN NaN NaN NaN NaN NaN 20.135 -0.756 2002 6 NaN NaN NaN NaN NaN NaN 25.513 0.518 2002 7 NaN NaN NaN NaN NaN NaN 27.666 0.352 2002 8 NaN NaN NaN NaN NaN NaN 27.404 0.680 2002 9 24.290 1.532 1 0 NaN NaN 25.019 1.894 2002 10 16.243 -0.259 1 0 NaN NaN 16.438 -0.430 2002 11 9.174 -0.944 1 0 NaN NaN 9.740 -0.743 2002 12 7.258 1.571 1 0 NaN NaN 6.720 0.667 2003 1 4.887 0.944 1 0 NaN NaN 3.487 -0.823 2003 2 4.874 -1.502 0 0 4.874 -1.502 5.018 -1.724 2003 3 10.850 0.198 1 0 NaN NaN 11.027 0.008 2003 4 16.833 0.647 0 0 16.833 0.647 17.448 0.895 2003 5 21.778 1.253 0 0 21.778 1.253 21.740 0.849 2003 6 23.889 -0.740 0 0 23.889 -0.740 23.666 -1.329 2003 7 27.000 0.052 0 0 27.000 0.052 27.453 0.139 2003 8 28.515 2.157 1 0 NaN NaN 27.885 1.161 2003 9 22.667 -0.092 0 0 22.667 -0.092 22.134 -0.991 2003 10 17.913 1.411 1 0 NaN NaN 18.214 1.347 2003 11 14.537 4.420 1 0 NaN NaN 13.393 2.909 2003 12 6.089 0.402 1 0 NaN NaN 6.561 0.508 2004 1 4.632 0.689 1 0 NaN NaN 5.515 1.205 2004 2 5.859 -0.517 1 0 NaN NaN 5.214 -1.527 2004 3 14.000 3.348 0 0 14.000 3.348 13.737 2.718 2004 4 16.222 0.036 0 0 16.222 0.036 16.895 0.343 2004 5 21.222 0.697 0 0 21.222 0.697 21.912 1.021 2004 6 24.389 -0.240 0 0 24.389 -0.240 25.121 0.126 2004 7 25.444 -1.504 0 0 25.444 -1.504 26.208 -1.107 2004 8 25.333 -1.025 0 0 25.333 -1.025 25.004 -1.720 2004 9 23.889 1.130 0 0 23.889 1.130 23.715 0.590 2004 10 20.167 3.665 0 0 20.167 3.665 19.706 2.838 2004 11 12.111 1.993 0 0 12.111 1.993 12.750 2.266 2004 12 5.389 -0.298 0 0 5.389 -0.298 6.052 -0.001 2005 1 NaN NaN NaN NaN NaN NaN 7.301 2.991 2005 2 NaN NaN NaN NaN NaN NaN 9.117 2.376 2005 3 9.389 -1.263 0 0 9.389 -1.263 10.538 -0.480 2005 4 15.389 -0.797 0 0 15.389 -0.797 16.743 0.191 2005 5 20.222 -0.303 0 0 20.222 -0.303 20.240 -0.652 2005 6 24.500 -0.128 0 0 24.500 -0.128 25.988 0.993 2005 7 27.335 0.387 1 0 NaN NaN 27.658 0.344 2005 8 28.389 2.031 0 0 28.389 2.031 28.721 1.997 2005 9 26.278 3.519 1 0 NaN NaN 26.105 2.980 2005 10 17.665 1.163 1 0 NaN NaN 17.413 0.546 2005 11 3.100 -7.018 1 0 NaN NaN 12.724 2.240 2005 12 4.650 -1.036 1 0 NaN NaN 5.296 -0.756 2006 1 9.048 5.104 1 0 NaN NaN 8.542 4.232 2006 2 NaN NaN NaN NaN NaN NaN 5.432 -1.310 2006 3 15.000 4.348 1 0 NaN NaN 12.482 1.463 2006 4 NaN NaN NaN NaN NaN NaN 19.848 3.296 2006 5 NaN NaN NaN NaN NaN NaN 21.838 0.947 2006 6 NaN NaN NaN NaN NaN NaN 25.265 0.270 2006 7 NaN NaN NaN NaN NaN NaN 28.458 1.143 2006 8 28.288 1.930 1 0 NaN NaN 28.930 2.206 2006 9 20.587 -2.172 1 0 NaN NaN 21.851 -1.273 2006 10 17.336 0.834 1 0 NaN NaN 16.450 -0.418 2006 11 9.350 -0.768 1 0 NaN NaN 11.806 1.322 2006 12 7.572 1.886 1 0 NaN NaN 7.794 1.742 2007 1 5.600 1.656 1 0 NaN NaN 4.326 0.016 2007 2 5.778 -0.598 1 0 NaN NaN 5.602 -1.139 2007 3 NaN NaN NaN NaN NaN NaN 15.428 4.410 2007 4 NaN NaN NaN NaN NaN NaN 14.724 -1.829 2007 5 20.667 0.142 1 0 NaN NaN 21.908 1.017 2007 6 24.500 -0.128 1 0 NaN NaN 25.732 0.737 2007 7 24.450 -2.498 1 0 NaN NaN 26.077 -1.238 2007 8 NaN NaN NaN NaN NaN NaN 29.302 2.578 2007 9 23.532 0.773 1 0 NaN NaN 24.298 1.173 2007 10 NaN NaN NaN NaN NaN NaN 18.614 1.746 2007 11 NaN NaN NaN NaN NaN NaN 12.063 1.579 2007 12 NaN NaN NaN NaN NaN NaN 7.281 1.228 2008 1 NaN NaN NaN NaN NaN NaN 4.118 -0.191 2008 2 NaN NaN NaN NaN NaN NaN 7.016 0.274 2008 3 NaN NaN NaN NaN NaN NaN 11.572 0.553 2008 4 NaN NaN NaN NaN NaN NaN 15.928 -0.624 2008 5 NaN NaN NaN NaN NaN NaN 20.711 -0.180 2008 6 NaN NaN NaN NaN NaN NaN 26.159 1.165 2008 7 NaN NaN NaN NaN NaN NaN 27.816 0.502 2008 8 NaN NaN NaN NaN NaN NaN 26.277 -0.447 2008 9 NaN NaN NaN NaN NaN NaN 22.608 -0.517