% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28206 % Primary Name: WALTERBORO SOUTH CAROLINA AAF % Record Type: TAVG % Country: United States % State: SC % Latitude: 32.91600 +/- 0.00050 % Longitude: -80.65000 +/- 0.00050 % Elevation (m): 29.00 +/- 0.05 % # of Months: 39 % % IDs: gsod - 749090-99999 % icao - RBW % usaf - 749090 % % Sources: Global Summary of the Day % % Site Hash: 1f558f2bf8cd283b3a74f941cfe6baa3 % Raw Data Hash: 2fc5cb1a85597529668ac803ae409856 % Adj Data Hash: c1776f0d3517a116df548eab521179a7 % % 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 1941 9 NaN NaN NaN NaN NaN NaN 25.638 1.424 1941 10 NaN NaN NaN NaN NaN NaN 21.919 3.686 1941 11 NaN NaN NaN NaN NaN NaN 13.951 0.745 1941 12 NaN NaN NaN NaN NaN NaN 10.506 1.285 1942 1 NaN NaN NaN NaN NaN NaN 8.067 -0.216 1942 2 NaN NaN NaN NaN NaN NaN 6.273 -3.499 1942 3 NaN NaN NaN NaN NaN NaN 13.846 0.087 1942 4 NaN NaN NaN NaN NaN NaN 18.583 0.351 1942 5 NaN NaN NaN NaN NaN NaN 22.482 0.009 1942 6 NaN NaN NaN NaN NaN NaN 26.354 0.691 1942 7 NaN NaN NaN NaN NaN NaN 28.170 0.927 1942 8 NaN NaN NaN NaN NaN NaN 26.642 -0.291 1942 9 16.947 -7.151 1 0 NaN NaN 24.788 0.575 1942 10 21.701 3.583 0 0 21.701 3.583 18.680 0.448 1942 11 16.411 3.321 0 0 16.411 3.321 14.865 1.659 1942 12 9.701 0.595 0 0 9.701 0.595 9.325 0.103 1943 1 9.973 1.806 0 0 9.973 1.806 9.825 1.543 1943 2 10.065 0.409 0 0 10.065 0.409 9.922 0.151 1943 3 13.070 -0.574 0 0 13.070 -0.574 13.118 -0.641 1943 4 17.150 -0.967 0 0 17.150 -0.967 17.547 -0.686 1943 5 22.500 0.142 0 0 22.500 0.142 23.252 0.779 1943 6 27.622 2.074 0 0 27.622 2.074 27.722 2.059 1943 7 26.953 -0.175 0 0 26.953 -0.175 27.323 0.080 1943 8 26.762 -0.056 0 0 26.762 -0.056 27.421 0.488 1943 9 22.469 -1.630 0 0 22.469 -1.630 23.030 -1.183 1943 10 16.923 -1.194 0 0 16.923 -1.194 16.808 -1.424 1943 11 11.483 -1.607 0 0 11.483 -1.607 12.159 -1.046 1943 12 8.525 -0.581 0 0 8.525 -0.581 8.461 -0.760 1944 1 8.751 0.583 0 0 8.751 0.583 8.287 0.005 1944 2 12.778 3.121 1 0 NaN NaN 12.022 2.251 1944 3 13.353 -0.291 0 0 13.353 -0.291 14.229 0.470 1944 4 16.270 -1.847 0 0 16.270 -1.847 17.544 -0.689 1944 5 22.758 0.400 0 0 22.758 0.400 23.162 0.689 1944 6 26.698 1.150 0 0 26.698 1.150 27.304 1.641 1944 7 25.242 -1.886 0 0 25.242 -1.886 26.068 -1.176 1944 8 25.382 -1.436 0 0 25.382 -1.436 26.131 -0.801 1944 9 24.811 0.713 0 0 24.811 0.713 25.511 1.298 1944 10 18.095 -0.022 0 0 18.095 -0.022 17.911 -0.321 1944 11 12.406 -0.685 0 0 12.406 -0.685 12.516 -0.689 1944 12 6.729 -2.377 0 0 6.729 -2.377 6.701 -2.520 1945 1 8.749 0.581 0 0 8.749 0.581 8.045 -0.238 1945 2 11.931 2.274 0 0 11.931 2.274 11.282 1.511 1945 3 18.649 5.005 0 0 18.649 5.005 18.721 4.962 1945 4 20.187 2.070 0 0 20.187 2.070 20.349 2.116 1945 5 21.358 -1.000 0 0 21.358 -1.000 21.257 -1.216 1945 6 26.220 0.672 0 0 26.220 0.672 26.871 1.208 1945 7 26.470 -0.659 0 0 26.470 -0.659 26.873 -0.370 1945 8 25.738 -1.080 0 0 25.738 -1.080 26.327 -0.606 1945 9 25.231 1.133 0 0 25.231 1.133 26.034 1.821 1945 10 17.747 -0.370 0 0 17.747 -0.370 17.641 -0.591 1945 11 18.796 5.706 1 0 NaN NaN 14.521 1.316 1945 12 NaN NaN NaN NaN NaN NaN 6.060 -3.161 1946 1 NaN NaN NaN NaN NaN NaN 9.361 1.078 1946 2 NaN NaN NaN NaN NaN NaN 10.719 0.948 1946 3 NaN NaN NaN NaN NaN NaN 16.636 2.877 1946 4 NaN NaN NaN NaN NaN NaN 18.905 0.673 1946 5 NaN NaN NaN NaN NaN NaN 22.160 -0.313 1946 6 NaN NaN NaN NaN NaN NaN 25.293 -0.370 1946 7 NaN NaN NaN NaN NaN NaN 26.544 -0.700 1946 8 NaN NaN NaN NaN NaN NaN 26.059 -0.873 1946 9 NaN NaN NaN NaN NaN NaN 23.682 -0.531 1946 10 NaN NaN NaN NaN NaN NaN 18.265 0.033 1946 11 NaN NaN NaN NaN NaN NaN 16.705 3.500