% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26764 % Primary Name: CLEVELAND MUNI % Record Type: TAVG % Country: United States % State: TX % Latitude: 30.35600 +/- 0.00050 % Longitude: -95.00800 +/- 0.00050 % Elevation (m): 46.00 +/- 0.05 % # of Months: 46 % % IDs: gsod - 725021-99999 % icao - K6R3 % usaf - 725021 % % Sources: Global Summary of the Day % % Site Hash: cfab74c79377a7c8c1a20cd663ba5ade % Raw Data Hash: 3157a4dfc311b1aa1b5a480a844b3b72 % Adj Data Hash: 5a4bd895be8fc9b075345ebbacb36373 % % 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 10 NaN NaN NaN NaN NaN NaN 20.934 -0.336 2008 11 NaN NaN NaN NaN NaN NaN 17.254 0.862 2008 12 NaN NaN NaN NaN NaN NaN 13.687 0.773 2009 1 NaN NaN NaN NaN NaN NaN 12.210 0.795 2009 2 NaN NaN NaN NaN NaN NaN 15.135 2.371 2009 3 NaN NaN NaN NaN NaN NaN 16.743 0.571 2009 4 NaN NaN NaN NaN NaN NaN 19.908 -0.218 2009 5 NaN NaN NaN NaN NaN NaN 24.655 0.914 2009 6 NaN NaN NaN NaN NaN NaN 28.122 1.376 2009 7 NaN NaN NaN NaN NaN NaN 29.111 1.209 2009 8 NaN NaN NaN NaN NaN NaN 28.830 1.038 2009 9 NaN NaN NaN NaN NaN NaN 26.164 0.157 2009 10 18.265 -1.731 1 0 NaN NaN 21.890 0.620 2009 11 14.606 -0.513 0 0 14.606 -0.513 17.113 0.720 2009 12 8.753 -2.887 0 0 8.753 -2.887 10.870 -2.044 2010 1 8.242 -1.899 0 0 8.242 -1.899 9.446 -1.969 2010 2 7.722 -3.768 0 0 7.722 -3.768 8.624 -4.141 2010 3 13.545 -1.353 0 0 13.545 -1.353 14.109 -2.063 2010 4 19.548 0.696 0 0 19.548 0.696 20.246 0.120 2010 5 24.882 2.415 0 0 24.882 2.415 25.501 1.760 2010 6 27.387 1.915 0 0 27.387 1.915 28.833 2.087 2010 7 27.244 0.615 0 0 27.244 0.615 28.571 0.668 2010 8 29.023 2.505 1 0 NaN NaN 29.723 1.931 2010 9 25.665 0.932 0 0 25.665 0.932 27.779 1.772 2010 10 20.568 0.572 0 0 20.568 0.572 22.209 0.938 2010 11 15.356 0.237 0 0 15.356 0.237 17.063 0.670 2010 12 11.464 -0.175 0 0 11.464 -0.175 12.659 -0.254 2011 1 9.138 -1.003 0 0 9.138 -1.003 10.084 -1.332 2011 2 11.567 0.077 0 0 11.567 0.077 11.594 -1.170 2011 3 17.724 2.826 0 0 17.724 2.826 18.151 1.979 2011 4 22.130 3.277 0 0 22.130 3.277 22.384 2.258 2011 5 23.271 0.804 0 0 23.271 0.804 24.150 0.409 2011 6 28.069 2.596 0 0 28.069 2.596 29.023 2.276 2011 7 28.249 1.621 0 0 28.249 1.621 29.268 1.366 2011 8 30.120 3.602 0 0 30.120 3.602 30.456 2.663 2011 9 25.598 0.865 0 0 25.598 0.865 26.696 0.689 2011 10 19.124 -0.872 0 0 19.124 -0.872 21.351 0.081 2011 11 15.533 0.415 0 0 15.533 0.415 17.478 1.086 2011 12 10.595 -1.044 0 0 10.595 -1.044 13.063 0.150 2012 1 13.077 2.936 0 0 13.077 2.936 14.492 3.077 2012 2 13.824 2.334 0 0 13.824 2.334 14.223 1.459 2012 3 18.932 4.034 0 0 18.932 4.034 20.055 3.883 2012 4 20.981 2.129 0 0 20.981 2.129 22.212 2.085 2012 5 23.797 1.331 0 0 23.797 1.331 25.037 1.296 2012 6 26.576 1.103 0 0 26.576 1.103 28.041 1.294 2012 7 26.364 -0.265 0 0 26.364 -0.265 27.929 0.027 2012 8 27.505 0.987 0 0 27.505 0.987 28.765 0.973 2012 9 24.324 -0.409 0 0 24.324 -0.409 26.683 0.676 2012 10 19.143 -0.853 0 0 19.143 -0.853 21.493 0.223 2012 11 14.311 -0.807 0 0 14.311 -0.807 17.144 0.752 2012 12 13.170 1.531 0 0 13.170 1.531 15.427 2.514 2013 1 11.263 1.122 0 0 11.263 1.122 12.418 1.003 2013 2 12.851 1.361 0 0 12.851 1.361 14.379 1.614 2013 3 14.910 0.012 0 0 14.910 0.012 15.125 -1.047 2013 4 18.317 -0.536 0 0 18.317 -0.536 18.859 -1.268 2013 5 22.504 0.037 0 0 22.504 0.037 23.009 -0.732 2013 6 27.138 1.665 0 0 27.138 1.665 28.205 1.458 2013 7 27.102 0.474 0 0 27.102 0.474 28.035 0.133 2013 8 NaN NaN NaN NaN NaN NaN 28.574 0.781 2013 9 NaN NaN NaN NaN NaN NaN 27.953 1.946 2013 10 NaN NaN NaN NaN NaN NaN 22.355 1.085