% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29055 % Primary Name: EFFINGHAM % Record Type: TAVG % Country: United States % State: SC % Latitude: 34.06280 +/- 0.00005 % Longitude: -79.75560 +/- 0.00005 % Elevation (m): 32.30 +/- 0.05 % # of Months: 58 % % IDs: coop - 382757 % ghcnd - USC00382757 % ncdc - 20017451 % nws - EFFS1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 54a9cb6246ab0087103a0e33a9ec4e92 % Raw Data Hash: a9fa1425e4c0b18f5a8f688c74b3c25f % Adj Data Hash: ab46524173c27052bfb1f64a7f28b69f % % 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 9 NaN NaN NaN NaN NaN NaN 22.874 -0.165 2006 10 NaN NaN NaN NaN NaN NaN 15.901 -0.785 2006 11 NaN NaN NaN NaN NaN NaN 12.863 1.313 2006 12 NaN NaN NaN NaN NaN NaN 10.150 3.095 2007 1 NaN NaN NaN NaN NaN NaN 8.523 2.540 2007 2 NaN NaN NaN NaN NaN NaN 5.866 -1.491 2007 3 NaN NaN NaN NaN NaN NaN 14.405 2.731 2007 4 NaN NaN NaN NaN NaN NaN 16.578 -0.235 2007 5 NaN NaN NaN NaN NaN NaN 20.961 -0.322 2007 6 NaN NaN NaN NaN NaN NaN 25.306 0.572 2007 7 NaN NaN NaN NaN NaN NaN 26.341 -0.226 2007 8 NaN NaN NaN NaN NaN NaN 29.421 3.334 2007 9 24.389 1.284 0 0 24.389 1.284 24.923 1.884 2007 10 20.611 3.860 0 0 20.611 3.860 20.113 3.428 2007 11 12.056 0.438 0 0 12.056 0.438 12.060 0.509 2007 12 10.833 3.711 0 0 10.833 3.711 10.598 3.542 2008 1 6.611 0.562 0 0 6.611 0.562 5.962 -0.021 2008 2 10.278 2.854 0 0 10.278 2.854 9.308 1.951 2008 3 12.333 0.593 0 0 12.333 0.593 12.606 0.932 2008 4 16.778 -0.102 0 0 16.778 -0.102 17.044 0.230 2008 5 20.444 -0.905 0 0 20.444 -0.905 20.673 -0.611 2008 6 26.833 2.033 0 0 26.833 2.033 27.094 2.359 2008 7 26.500 -0.133 0 0 26.500 -0.133 26.593 0.027 2008 8 25.944 -0.209 0 0 25.944 -0.209 26.025 -0.063 2008 9 23.278 0.172 0 0 23.278 0.172 23.570 0.531 2008 10 16.111 -0.640 0 0 16.111 -0.640 15.764 -0.922 2008 11 10.389 -1.228 0 0 10.389 -1.228 10.360 -1.190 2008 12 11.000 3.878 0 0 11.000 3.878 10.138 3.082 2009 1 6.556 0.506 0 0 6.556 0.506 5.738 -0.245 2009 2 8.667 1.243 0 0 8.667 1.243 7.285 -0.072 2009 3 11.889 0.149 0 0 11.889 0.149 11.716 0.042 2009 4 16.722 -0.158 0 0 16.722 -0.158 17.377 0.563 2009 5 21.944 0.595 0 0 21.944 0.595 21.983 0.700 2009 6 26.222 1.421 0 0 26.222 1.421 26.110 1.376 2009 7 26.444 -0.189 0 0 26.444 -0.189 26.331 -0.235 2009 8 27.056 0.902 0 0 27.056 0.902 27.071 0.984 2009 9 23.278 0.172 0 0 23.278 0.172 23.517 0.478 2009 10 17.111 0.360 0 0 17.111 0.360 16.453 -0.232 2009 11 13.778 2.161 0 0 13.778 2.161 13.213 1.662 2009 12 7.278 0.156 0 0 7.278 0.156 6.500 -0.556 2010 1 4.778 -1.271 0 0 4.778 -1.271 4.170 -1.813 2010 2 4.833 -2.590 0 0 4.833 -2.590 4.028 -3.329 2010 3 11.389 -0.351 0 0 11.389 -0.351 11.541 -0.133 2010 4 18.222 1.342 0 0 18.222 1.342 18.666 1.853 2010 5 23.056 1.706 0 0 23.056 1.706 23.340 2.056 2010 6 27.167 2.366 0 0 27.167 2.366 27.894 3.160 2010 7 27.500 0.867 0 0 27.500 0.867 27.916 1.349 2010 8 27.500 1.347 1 0 NaN NaN 27.845 1.758 2010 9 26.072 2.967 1 0 NaN NaN 25.547 2.508 2010 10 18.232 1.480 1 0 NaN NaN 17.458 0.773 2010 11 12.444 0.827 0 0 12.444 0.827 12.106 0.555 2010 12 2.475 -4.647 1 0 NaN NaN 2.637 -4.418 2011 1 3.722 -2.327 0 0 3.722 -2.327 3.782 -2.201 2011 2 10.556 3.132 0 0 10.556 3.132 9.265 1.908 2011 3 12.500 0.760 0 0 12.500 0.760 12.685 1.011 2011 4 18.778 1.898 0 0 18.778 1.898 18.823 2.009 2011 5 20.889 -0.461 0 0 20.889 -0.461 22.170 0.886 2011 6 27.333 2.533 0 0 27.333 2.533 27.381 2.647 2011 7 27.889 1.256 0 0 27.889 1.256 28.598 2.031 2011 8 27.167 1.013 0 0 27.167 1.013 27.430 1.343 2011 9 23.667 0.561 0 0 23.667 0.561 23.875 0.836 2011 10 17.222 0.471 0 0 17.222 0.471 15.732 -0.954 2011 11 12.833 1.216 0 0 12.833 1.216 13.339 1.788 2011 12 9.545 2.423 0 0 9.545 2.423 10.033 2.977 2012 1 8.547 2.498 0 0 8.547 2.498 8.297 2.314 2012 2 9.707 2.283 1 0 NaN NaN 9.076 1.719 2012 3 NaN NaN NaN NaN NaN NaN 17.148 5.474 2012 4 NaN NaN NaN NaN NaN NaN 17.854 1.040 2012 5 21.667 0.317 1 0 NaN NaN 22.917 1.634 2012 6 NaN NaN NaN NaN NaN NaN 24.121 -0.613 2012 7 28.525 1.892 0 0 28.525 1.892 28.548 1.981 2012 8 25.524 -0.629 0 0 25.524 -0.629 25.804 -0.283 2012 9 23.030 -0.075 0 0 23.030 -0.075 23.458 0.419 2012 10 NaN NaN NaN NaN NaN NaN 16.904 0.218 2012 11 NaN NaN NaN NaN NaN NaN 9.967 -1.584 2012 12 NaN NaN NaN NaN NaN NaN 10.488 3.432 2013 1 NaN NaN NaN NaN NaN NaN 8.912 2.929 2013 2 NaN NaN NaN NaN NaN NaN 6.867 -0.490 2013 3 NaN NaN NaN NaN NaN NaN 9.069 -2.605 2013 4 NaN NaN NaN NaN NaN NaN 17.464 0.651 2013 5 NaN NaN NaN NaN NaN NaN 20.522 -0.762 2013 6 NaN NaN NaN NaN NaN NaN 25.361 0.627 2013 7 NaN NaN NaN NaN NaN NaN 26.572 0.005 2013 8 NaN NaN NaN NaN NaN NaN 25.545 -0.542 2013 9 NaN NaN NaN NaN NaN NaN 23.439 0.400