% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31380 % Primary Name: NEELYVILLE 7E % Record Type: TAVG % Country: United States % State: MO % Latitude: 36.55390 +/- 0.00005 % Longitude: -90.39440 +/- 0.00005 % Elevation (m): 91.14 +/- 0.15 % # of Months: 34 % % Alternate Names: Missing Station ID - 235950 % % IDs: coop - 235950 % ghcnd - USC00235950 % ncdc - 30003142 % nws - NLYM7 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 8dc1558b591da6e84a65d7b06a8851cc % Raw Data Hash: 768488b72fcbaafe11f79a7a409b92d6 % Adj Data Hash: 668466c27bf468f1bfe9f730715369c4 % % 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 2006 6 NaN NaN NaN NaN NaN NaN 25.539 0.618 2006 7 NaN NaN NaN NaN NaN NaN 27.236 0.524 2006 8 NaN NaN NaN NaN NaN NaN 27.235 1.494 2006 9 NaN NaN NaN NaN NaN NaN 20.809 -1.302 2006 10 NaN NaN NaN NaN NaN NaN 14.666 -0.993 2006 11 NaN NaN NaN NaN NaN NaN 9.985 0.716 2006 12 NaN NaN NaN NaN NaN NaN 6.758 2.478 2007 1 NaN NaN NaN NaN NaN NaN 3.363 1.313 2007 2 NaN NaN NaN NaN NaN NaN 1.987 -2.368 2007 3 NaN NaN NaN NaN NaN NaN 14.610 5.354 2007 4 NaN NaN NaN NaN NaN NaN 14.480 -1.023 2007 5 NaN NaN NaN NaN NaN NaN 22.546 2.047 2007 6 25.056 1.427 0 0 25.149 1.520 26.209 1.288 2007 7 24.722 -0.698 0 0 24.816 -0.605 26.247 -0.466 2007 8 28.111 3.662 0 0 28.205 3.756 29.869 4.128 2007 9 22.778 1.958 0 0 22.872 2.052 24.336 2.224 2007 10 16.556 2.188 0 0 16.649 2.282 18.219 2.560 2007 11 9.056 1.078 0 0 9.149 1.172 10.432 1.162 2007 12 3.944 0.957 0 0 4.038 1.051 5.925 1.645 2008 1 1.389 0.631 0 1 1.363 0.604 1.719 -0.332 2008 2 2.944 -0.119 0 0 2.918 -0.145 4.175 -0.180 2008 3 8.778 0.813 0 0 8.751 0.787 9.401 0.145 2008 4 12.778 -1.433 0 0 12.751 -1.459 14.689 -0.814 2008 5 18.778 -0.429 0 0 18.751 -0.455 19.804 -0.695 2008 6 24.944 1.316 0 0 24.918 1.289 26.512 1.591 2008 7 25.611 0.190 0 0 25.585 0.164 27.282 0.570 2008 8 23.778 -0.671 0 0 23.751 -0.697 25.576 -0.165 2008 9 21.444 0.625 0 0 21.418 0.599 23.022 0.911 2008 10 14.611 0.244 0 0 14.585 0.217 15.773 0.113 2008 11 7.500 -0.477 0 0 7.474 -0.503 8.693 -0.576 2008 12 2.222 -0.765 0 0 2.196 -0.792 4.032 -0.248 2009 1 0.889 0.131 0 0 0.863 0.104 0.917 -1.133 2009 2 5.667 2.604 0 0 5.640 2.577 6.043 1.688 2009 3 9.833 1.869 0 0 9.807 1.843 10.691 1.435 2009 4 13.833 -0.377 0 0 13.807 -0.404 15.535 0.032 2009 5 19.000 -0.207 0 0 18.974 -0.233 20.225 -0.274 2009 6 25.611 1.982 0 0 25.585 1.956 26.803 1.882 2009 7 24.111 -1.310 0 0 24.085 -1.336 25.200 -1.513 2009 8 23.500 -0.949 0 0 23.474 -0.975 24.827 -0.914 2009 9 21.111 0.292 0 0 21.085 0.265 22.935 0.824 2009 10 12.500 -1.867 0 0 12.474 -1.894 14.039 -1.620 2009 11 11.167 3.190 0 0 11.140 3.163 12.031 2.762 2009 12 1.556 -1.432 0 0 1.529 -1.458 3.035 -1.245 2010 1 -2.648 -3.406 1 0 NaN NaN 0.063 -1.987 2010 2 NaN NaN NaN NaN NaN NaN 0.678 -3.678 2010 3 NaN NaN NaN NaN NaN NaN 9.544 0.288 2010 4 NaN NaN NaN NaN NaN NaN 17.977 2.475 2010 5 NaN NaN NaN NaN NaN NaN 22.065 1.566 2010 6 NaN NaN NaN NaN NaN NaN 28.426 3.505 2010 7 NaN NaN NaN NaN NaN NaN 28.260 1.547 2010 8 NaN NaN NaN NaN NaN NaN 28.432 2.691 2010 9 NaN NaN NaN NaN NaN NaN 23.732 1.620 2010 10 15.833 1.466 0 0 15.807 1.440 16.763 1.104 2010 11 10.399 2.422 1 0 NaN NaN 10.704 1.435 2010 12 NaN NaN NaN NaN NaN NaN 1.454 -2.826 2011 1 NaN NaN NaN NaN NaN NaN 0.644 -1.407 2011 2 NaN NaN NaN NaN NaN NaN 5.153 0.798 2011 3 NaN NaN NaN NaN NaN NaN 10.074 0.817 2011 4 NaN NaN NaN NaN NaN NaN 17.577 2.074 2011 5 NaN NaN NaN NaN NaN NaN 19.697 -0.802 2011 6 NaN NaN NaN NaN NaN NaN 27.527 2.606 2011 7 NaN NaN NaN NaN NaN NaN 28.841 2.129 2011 8 NaN NaN NaN NaN NaN NaN 27.037 1.296 2011 9 NaN NaN NaN NaN NaN NaN 21.429 -0.683 2011 10 NaN NaN NaN NaN NaN NaN 15.406 -0.253 2011 11 NaN NaN NaN NaN NaN NaN 11.560 2.291