% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27926 % Primary Name: EDISTO IS MIDDLETON PLANTATION % Record Type: TAVG % Country: United States % State: SC % Latitude: 32.60640 +/- 0.00005 % Longitude: -80.32670 +/- 0.00005 % Elevation (m): 3.66 +/- 0.15 % # of Months: 97 % % Alternate Names: EDISTO IS MIDDLETON PL % Missing Station ID - 382735 % % IDs: coop - 382735 % ghcnd - USC00382735 % ncdc - 30001572 % nws - EDSS1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9c79aac483a3e1c85ef920d94cb00cde % Raw Data Hash: e4d8b6d2a4d9f2339d55a1108955acaa % Adj Data Hash: e4d8b6d2a4d9f2339d55a1108955acaa % % 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 2003 9 NaN NaN NaN NaN NaN NaN 24.681 -0.062 2003 10 NaN NaN NaN NaN NaN NaN 19.965 0.234 2003 11 NaN NaN NaN NaN NaN NaN 18.369 3.051 2003 12 NaN NaN NaN NaN NaN NaN 9.847 -1.509 2004 1 NaN NaN NaN NaN NaN NaN 8.902 -1.178 2004 2 NaN NaN NaN NaN NaN NaN 9.368 -1.419 2004 3 NaN NaN NaN NaN NaN NaN 15.622 1.474 2004 4 NaN NaN NaN NaN NaN NaN 18.464 0.379 2004 5 NaN NaN NaN NaN NaN NaN 24.193 2.026 2004 6 NaN NaN NaN NaN NaN NaN 26.576 1.467 2004 7 NaN NaN NaN NaN NaN NaN 27.685 0.903 2004 8 NaN NaN NaN NaN NaN NaN 26.271 -0.451 2004 9 24.722 -0.043 0 0 24.722 -0.043 25.463 0.719 2004 10 20.889 1.136 0 0 20.889 1.136 21.074 1.343 2004 11 15.722 0.382 0 0 15.722 0.382 17.164 1.846 2004 12 NaN NaN NaN NaN NaN NaN 11.212 -0.144 2005 1 NaN NaN NaN NaN NaN NaN 11.278 1.198 2005 2 NaN NaN NaN NaN NaN NaN 11.023 0.237 2005 3 NaN NaN NaN NaN NaN NaN 13.403 -0.744 2005 4 NaN NaN NaN NaN NaN NaN 17.401 -0.684 2005 5 NaN NaN NaN NaN NaN NaN 20.972 -1.196 2005 6 25.778 0.647 0 0 25.778 0.647 25.595 0.486 2005 7 28.778 1.973 0 0 28.778 1.973 28.473 1.691 2005 8 27.944 1.201 0 0 27.944 1.201 28.107 1.385 2005 9 NaN NaN NaN NaN NaN NaN 27.018 2.274 2005 10 NaN NaN NaN NaN NaN NaN 20.786 1.056 2005 11 15.833 0.493 0 0 15.833 0.493 17.214 1.896 2005 12 9.556 -1.822 0 0 9.556 -1.822 10.814 -0.542 2006 1 12.556 2.453 0 0 12.556 2.453 12.939 2.858 2006 2 10.444 -0.364 0 0 10.444 -0.364 10.134 -0.653 2006 3 14.333 0.164 0 0 14.333 0.164 14.250 0.103 2006 4 20.667 2.560 0 0 20.667 2.560 19.888 1.803 2006 5 22.944 0.755 0 0 22.944 0.755 22.029 -0.139 2006 6 26.389 1.258 0 0 26.389 1.258 25.538 0.429 2006 7 28.333 1.529 0 0 28.333 1.529 27.684 0.902 2006 8 28.500 1.756 0 0 28.500 1.756 28.259 1.538 2006 9 NaN NaN NaN NaN NaN NaN 24.958 0.215 2006 10 NaN NaN NaN NaN NaN NaN 19.375 -0.355 2006 11 NaN NaN NaN NaN NaN NaN 15.833 0.515 2006 12 NaN NaN NaN NaN NaN NaN 14.437 3.081 2007 1 11.333 1.231 0 0 11.333 1.231 12.487 2.407 2007 2 9.611 -1.198 0 0 9.611 -1.198 9.810 -0.977 2007 3 15.611 1.442 0 0 15.611 1.442 16.328 2.180 2007 4 17.556 -0.551 0 0 17.556 -0.551 17.992 -0.093 2007 5 21.778 -0.411 0 0 21.778 -0.411 21.902 -0.265 2007 6 26.222 1.091 0 0 26.222 1.091 25.581 0.472 2007 7 27.611 0.806 0 0 27.611 0.806 27.006 0.224 2007 8 29.000 2.256 0 0 29.000 2.256 28.969 2.247 2007 9 25.278 0.512 0 0 25.278 0.512 26.193 1.450 2007 10 22.167 2.414 0 0 22.167 2.414 22.826 3.095 2007 11 14.111 -1.229 0 0 14.111 -1.229 15.767 0.449 2007 12 13.611 2.233 0 0 13.611 2.233 14.717 3.361 2008 1 9.389 -0.714 0 0 9.389 -0.714 10.228 0.147 2008 2 12.944 2.136 0 0 12.944 2.136 13.010 2.223 2008 3 15.111 0.942 0 0 15.111 0.942 15.112 0.965 2008 4 18.222 0.116 0 0 18.222 0.116 18.534 0.449 2008 5 22.889 0.700 0 0 22.889 0.700 22.036 -0.132 2008 6 27.944 2.813 0 0 27.944 2.813 26.931 1.822 2008 7 27.833 1.029 0 0 27.833 1.029 27.073 0.290 2008 8 27.778 1.034 0 0 27.778 1.034 27.226 0.504 2008 9 24.944 0.179 0 0 24.944 0.179 25.508 0.765 2008 10 18.611 -1.141 0 0 18.611 -1.141 18.945 -0.786 2008 11 12.611 -2.729 0 0 12.611 -2.729 14.244 -1.074 2008 12 13.333 1.955 0 0 13.333 1.955 14.348 2.992 2009 1 9.500 -0.603 0 0 9.500 -0.603 10.050 -0.031 2009 2 10.056 -0.753 0 0 10.056 -0.753 9.968 -0.819 2009 3 14.611 0.442 0 0 14.611 0.442 14.328 0.180 2009 4 18.611 0.505 0 0 18.611 0.505 18.321 0.236 2009 5 23.722 1.533 0 0 23.722 1.533 23.001 0.834 2009 6 27.833 2.702 0 0 27.833 2.702 26.765 1.656 2009 7 27.500 0.695 0 0 27.500 0.695 26.897 0.115 2009 8 27.778 1.034 0 0 27.778 1.034 27.599 0.877 2009 9 24.944 0.179 0 0 24.944 0.179 25.307 0.563 2009 10 20.000 0.248 0 0 20.000 0.248 20.008 0.278 2009 11 15.500 0.160 0 0 15.500 0.160 16.726 1.408 2009 12 11.000 -0.378 0 0 11.000 -0.378 11.821 0.465 2010 1 7.222 -2.880 0 0 7.222 -2.880 7.923 -2.158 2010 2 7.722 -3.087 0 0 7.722 -3.087 7.618 -3.169 2010 3 13.056 -1.114 0 0 13.056 -1.114 13.314 -0.834 2010 4 19.500 1.394 0 0 19.500 1.394 19.134 1.050 2010 5 24.500 2.311 0 0 24.500 2.311 23.865 1.698 2010 6 29.111 3.980 0 0 29.111 3.980 28.109 3.000 2010 7 29.167 2.362 0 0 29.167 2.362 28.072 1.289 2010 8 28.722 1.979 0 0 28.722 1.979 28.394 1.672 2010 9 26.500 1.734 0 0 26.500 1.734 26.706 1.962 2010 10 21.167 1.414 0 0 21.167 1.414 20.656 0.926 2010 11 15.111 -0.229 0 0 15.111 -0.229 15.849 0.531 2010 12 6.389 -4.989 0 0 6.389 -4.989 6.912 -4.444 2011 1 7.389 -2.714 0 0 7.389 -2.714 7.839 -2.242 2011 2 12.889 2.080 0 0 12.889 2.080 12.242 1.455 2011 3 16.167 1.997 0 0 16.167 1.997 15.460 1.313 2011 4 21.111 3.005 0 0 21.111 3.005 20.093 2.008 2011 5 24.556 2.366 0 0 24.556 2.366 23.161 0.994 2011 6 28.944 3.813 0 0 28.944 3.813 27.611 2.502 2011 7 29.222 2.418 0 0 29.222 2.418 28.338 1.556 2011 8 29.167 2.423 0 0 29.167 2.423 28.310 1.589 2011 9 25.556 0.790 0 0 25.556 0.790 25.625 0.881 2011 10 19.000 -0.752 0 0 19.000 -0.752 18.934 -0.796 2011 11 15.444 0.105 0 0 15.444 0.105 16.666 1.348 2011 12 12.750 1.372 0 0 12.750 1.372 14.043 2.687 2012 1 12.000 1.897 0 0 12.000 1.897 12.273 2.192 2012 2 13.188 2.379 0 0 13.188 2.379 12.849 2.063 2012 3 19.413 5.244 0 0 19.413 5.244 18.810 4.662 2012 4 20.525 2.419 0 0 20.525 2.419 19.699 1.615 2012 5 24.645 2.456 0 0 24.645 2.456 23.810 1.643 2012 6 25.255 0.124 0 0 25.255 0.124 24.471 -0.639 2012 7 29.523 2.718 0 0 29.523 2.718 28.521 1.738 2012 8 27.460 0.716 0 0 27.460 0.716 26.806 0.084 2012 9 25.995 1.229 0 0 25.995 1.229 25.510 0.767 2012 10 20.792 1.040 0 0 20.792 1.040 20.326 0.595 2012 11 12.475 -2.865 0 0 12.475 -2.865 13.505 -1.813 2012 12 12.813 1.435 0 0 12.813 1.435 14.014 2.657 2013 1 12.935 2.833 0 0 12.935 2.833 13.172 3.092 2013 2 10.779 -0.030 0 0 10.779 -0.030 10.806 0.019 2013 3 11.539 -2.631 0 0 11.539 -2.631 11.596 -2.551 2013 4 18.355 0.249 0 0 18.355 0.249 18.414 0.330 2013 5 21.848 -0.341 0 0 21.848 -0.341 21.709 -0.459 2013 6 26.777 1.645 0 0 26.777 1.645 26.160 1.051 2013 7 27.571 0.766 0 0 27.571 0.766 27.017 0.234 2013 8 27.418 0.674 0 0 27.418 0.674 26.918 0.196 2013 9 25.267 0.501 0 0 25.267 0.501 25.299 0.556 2013 10 NaN NaN NaN NaN NaN NaN 20.299 0.569