% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27743 % Primary Name: TOHONO CHUL % Record Type: TAVG % Country: United States % State: AZ % Latitude: 32.33920 +/- 0.00005 % Longitude: -110.98080 +/- 0.00005 % Elevation (m): 770.23 +/- 0.15 % # of Months: 53 % % Alternate Names: Missing Station ID - 28590 % % IDs: coop - 28590 % ghcnd - USC00028590 % ncdc - 30014778 % nws - TCHA3 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ec117769f225ece6c7e4c18b93d64d0f % Raw Data Hash: 00cd74a3bb085fcde672f63f74c219cd % Adj Data Hash: 73d67b69faf69cbc1bd6c4a8914b3a6d % % 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 2008 3 NaN NaN NaN NaN NaN NaN 11.038 0.781 2008 4 NaN NaN NaN NaN NaN NaN 15.063 0.832 2008 5 NaN NaN NaN NaN NaN NaN 17.890 -1.203 2008 6 NaN NaN NaN NaN NaN NaN 26.025 1.504 2008 7 NaN NaN NaN NaN NaN NaN 26.300 -0.575 2008 8 NaN NaN NaN NaN NaN NaN 25.352 -0.019 2008 9 NaN NaN NaN NaN NaN NaN 23.132 0.449 2008 10 NaN NaN NaN NaN NaN NaN 17.489 0.767 2008 11 NaN NaN NaN NaN NaN NaN 11.901 1.823 2008 12 NaN NaN NaN NaN NaN NaN 6.804 0.869 2009 1 NaN NaN NaN NaN NaN NaN 7.943 2.272 2009 2 NaN NaN NaN NaN NaN NaN 9.063 1.420 2009 3 16.705 2.213 1 0 NaN NaN 12.073 1.816 2009 4 NaN NaN NaN NaN NaN NaN 14.525 0.294 2009 5 NaN NaN NaN NaN NaN NaN 21.372 2.279 2009 6 28.913 0.157 1 0 NaN NaN 23.685 -0.836 2009 7 NaN NaN NaN NaN NaN NaN 28.540 1.665 2009 8 30.889 1.282 0 0 30.877 1.271 26.742 1.371 2009 9 27.944 1.026 0 0 27.933 1.015 23.681 0.998 2009 10 20.667 -0.291 0 0 20.655 -0.302 16.261 -0.461 2009 11 17.500 3.186 0 0 17.488 3.175 12.361 2.282 2009 12 9.722 -0.448 0 0 9.711 -0.459 4.962 -0.973 2010 1 11.500 1.594 0 0 11.488 1.582 6.165 0.494 2010 2 11.389 -0.490 0 0 11.377 -0.502 6.848 -0.796 2010 3 13.722 -0.770 0 0 13.711 -0.781 9.669 -0.588 2010 4 18.278 -0.188 0 0 18.266 -0.200 14.053 -0.178 2010 5 22.556 -0.772 0 0 22.544 -0.784 17.813 -1.280 2010 6 29.111 0.354 0 0 29.099 0.343 25.440 0.919 2010 7 31.278 0.167 0 0 31.266 0.156 27.443 0.567 2010 8 29.889 0.282 0 0 29.877 0.271 25.962 0.591 2010 9 28.722 1.804 0 0 28.711 1.793 24.705 2.023 2010 10 22.000 1.043 0 0 21.988 1.031 17.946 1.224 2010 11 14.611 0.297 0 0 14.599 0.286 9.553 -0.525 2010 12 13.222 3.052 0 0 13.211 3.041 8.749 2.814 2011 1 10.278 0.372 0 0 10.266 0.360 5.911 0.240 2011 2 10.389 -1.490 0 0 10.377 -1.502 5.832 -1.812 2011 3 16.944 2.453 0 0 16.933 2.441 12.858 2.601 2011 4 20.556 2.089 0 0 20.544 2.078 16.445 2.214 2011 5 22.222 -1.106 0 0 22.211 -1.117 17.889 -1.204 2011 6 29.389 0.632 0 0 29.377 0.621 26.103 1.582 2011 7 31.000 -0.111 0 0 30.988 -0.122 27.860 0.985 2011 8 32.000 2.393 0 0 31.988 2.382 27.540 2.169 2011 9 28.500 1.582 0 0 28.488 1.570 24.314 1.631 2011 10 22.897 1.940 1 0 NaN NaN 17.905 1.183 2011 11 14.222 -0.092 0 0 14.211 -0.103 10.001 -0.077 2011 12 8.719 -1.451 0 0 8.707 -1.463 4.593 -1.341 2012 1 12.204 2.298 0 0 12.193 2.287 7.710 2.039 2012 2 12.768 0.889 0 0 12.756 0.877 8.074 0.431 2012 3 15.393 0.902 0 0 15.382 0.890 10.973 0.716 2012 4 21.140 2.674 0 1 21.164 2.698 16.586 2.355 2012 5 26.296 2.969 0 0 26.321 2.993 20.915 1.822 2012 6 NaN NaN NaN NaN NaN NaN 27.267 2.746 2012 7 30.592 -0.518 1 0 NaN NaN 26.844 -0.031 2012 8 30.033 0.427 1 0 NaN NaN 26.771 1.399 2012 9 27.185 0.267 0 0 27.209 0.291 23.453 0.770 2012 10 22.858 1.901 0 0 22.882 1.925 18.374 1.652 2012 11 17.346 3.033 0 0 17.371 3.057 12.722 2.644 2012 12 11.484 1.314 0 0 11.509 1.339 6.598 0.663 2013 1 9.040 -0.866 0 0 9.064 -0.842 4.544 -1.127 2013 2 9.721 -2.157 0 0 9.746 -2.133 5.785 -1.859 2013 3 17.043 2.551 1 0 NaN NaN 12.962 2.705 2013 4 19.807 1.341 0 0 19.831 1.365 15.729 1.498 2013 5 24.933 1.605 0 0 24.957 1.629 20.049 0.957 2013 6 30.193 1.436 0 0 30.217 1.460 27.541 3.020 2013 7 29.948 -1.162 0 0 29.972 -1.138 26.844 -0.031 2013 8 29.608 0.001 0 0 29.632 0.026 25.817 0.446 2013 9 26.779 -0.139 0 0 26.803 -0.115 23.453 0.770 2013 10 19.988 -0.969 0 0 20.012 -0.945 16.225 -0.497 2013 11 17.060 2.746 1 0 NaN NaN NaN NaN