% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28850 % Primary Name: CONWAY HORRY CO % Record Type: TAVG % Country: United States % State: SC % Latitude: 33.82800 +/- 0.00050 % Longitude: -79.12200 +/- 0.00050 % Elevation (m): 10.00 +/- 0.05 % # of Months: 54 % % IDs: gsod - 720613-99999 % icao - KHYW % usaf - 720613 % % Sources: Global Summary of the Day % % Site Hash: 8017c3434007da1f4187d8dabbb85dca % Raw Data Hash: 026ab3c589813bf60e0267d7328c726e % Adj Data Hash: 537367c6c5764b7dc711f6ee42953a50 % % 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 6 NaN NaN NaN NaN NaN NaN 27.094 2.359 2008 7 NaN NaN NaN NaN NaN NaN 26.593 0.027 2008 8 NaN NaN NaN NaN NaN NaN 26.025 -0.063 2008 9 NaN NaN NaN NaN NaN NaN 23.570 0.531 2008 10 NaN NaN NaN NaN NaN NaN 15.764 -0.922 2008 11 NaN NaN NaN NaN NaN NaN 10.360 -1.190 2008 12 NaN NaN NaN NaN NaN NaN 10.138 3.082 2009 1 NaN NaN NaN NaN NaN NaN 5.738 -0.245 2009 2 NaN NaN NaN NaN NaN NaN 7.285 -0.072 2009 3 NaN NaN NaN NaN NaN NaN 11.716 0.042 2009 4 NaN NaN NaN NaN NaN NaN 17.377 0.563 2009 5 NaN NaN NaN NaN NaN NaN 21.983 0.700 2009 6 25.109 0.814 0 0 25.109 0.814 26.110 1.376 2009 7 25.416 -0.712 0 0 25.416 -0.712 26.331 -0.235 2009 8 26.676 1.028 1 0 NaN NaN 27.071 0.984 2009 9 23.316 0.716 1 0 NaN NaN 23.517 0.478 2009 10 17.065 0.819 0 0 17.065 0.819 16.453 -0.232 2009 11 12.748 1.637 0 0 12.748 1.637 13.213 1.662 2009 12 8.197 1.581 0 0 8.197 1.581 6.500 -0.556 2010 1 4.980 -0.563 0 0 4.980 -0.563 4.170 -1.813 2010 2 5.206 -1.711 0 0 5.206 -1.711 4.028 -3.329 2010 3 11.444 0.210 0 0 11.444 0.210 11.541 -0.133 2010 4 17.331 0.957 0 0 17.331 0.957 18.666 1.853 2010 5 22.344 1.500 0 0 22.344 1.500 23.340 2.056 2010 6 26.863 2.568 0 0 26.863 2.568 27.894 3.160 2010 7 26.579 0.452 0 0 26.579 0.452 27.916 1.349 2010 8 26.468 0.820 0 0 26.468 0.820 27.845 1.758 2010 9 23.815 1.215 0 0 23.815 1.215 25.547 2.508 2010 10 17.349 1.104 0 0 17.349 1.104 17.458 0.773 2010 11 11.350 0.238 0 0 11.350 0.238 12.106 0.555 2010 12 3.240 -3.376 0 0 3.240 -3.376 2.637 -4.418 2011 1 4.602 -0.941 0 0 4.602 -0.941 3.782 -2.201 2011 2 10.256 3.338 0 0 10.256 3.338 9.265 1.908 2011 3 12.934 1.699 0 0 12.934 1.699 12.685 1.011 2011 4 18.280 1.905 0 0 18.280 1.905 18.823 2.009 2011 5 21.237 0.393 0 0 21.237 0.393 22.170 0.886 2011 6 26.419 2.123 0 0 26.419 2.123 27.381 2.647 2011 7 27.004 0.876 0 0 27.004 0.876 28.598 2.031 2011 8 26.095 0.447 0 0 26.095 0.447 27.430 1.343 2011 9 22.828 0.228 0 0 22.828 0.228 23.875 0.836 2011 10 15.600 -0.645 0 0 15.600 -0.645 15.732 -0.954 2011 11 12.896 1.785 0 0 12.896 1.785 13.339 1.788 2011 12 10.344 3.728 0 0 10.344 3.728 10.033 2.977 2012 1 9.190 3.646 0 0 9.190 3.646 8.297 2.314 2012 2 10.855 3.937 1 0 NaN NaN 9.076 1.719 2012 3 16.528 5.293 0 0 16.528 5.293 17.148 5.474 2012 4 17.063 0.689 0 0 17.063 0.689 17.854 1.040 2012 5 21.529 0.685 0 0 21.529 0.685 22.917 1.634 2012 6 22.867 -1.428 0 0 22.867 -1.428 24.121 -0.613 2012 7 27.271 1.143 0 0 27.271 1.143 28.548 1.981 2012 8 24.640 -1.008 0 0 24.640 -1.008 25.804 -0.283 2012 9 22.411 -0.189 0 0 22.411 -0.189 23.458 0.419 2012 10 16.971 0.726 0 0 16.971 0.726 16.904 0.218 2012 11 9.337 -1.775 0 0 9.337 -1.775 9.967 -1.584 2012 12 10.487 3.871 0 0 10.487 3.871 10.488 3.432 2013 1 10.081 4.537 0 0 10.081 4.537 8.912 2.929 2013 2 7.960 1.043 0 0 7.960 1.043 6.867 -0.490 2013 3 9.211 -2.023 0 0 9.211 -2.023 9.069 -2.605 2013 4 16.252 -0.122 0 0 16.252 -0.122 17.464 0.651 2013 5 19.824 -1.020 0 0 19.824 -1.020 20.522 -0.762 2013 6 24.567 0.272 0 0 24.567 0.272 25.361 0.627 2013 7 25.430 -0.697 0 0 25.430 -0.697 26.572 0.005 2013 8 24.704 -0.943 0 0 24.704 -0.943 25.545 -0.542 2013 9 22.148 -0.452 0 0 22.148 -0.452 23.439 0.400 2013 10 17.190 0.944 0 0 17.190 0.944 17.504 0.819 2013 11 15.123 4.012 1 0 NaN NaN NaN NaN