% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34260 % Primary Name: CHARLES TOWN 1 SE % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.29810 +/- 0.00005 % Longitude: -77.83440 +/- 0.00005 % Elevation (m): 158.50 +/- 0.05 % # of Months: 93 % % Alternate Names: CHARLES TOWN 2 SE % % IDs: coop - 461588 % ghcnd - USC00461588 % ncdc - 20021726 % nws - CHRW2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 683397f7a3e558dac5aed9e781b19349 % Raw Data Hash: 33869f71a42b008456257049bb75b717 % Adj Data Hash: 070fd39db3fa11be9458847d9ca0fd6c % % 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 1992 1 NaN NaN NaN NaN NaN NaN 1.146 1.615 1992 2 NaN NaN NaN NaN NaN NaN 2.539 1.738 1992 3 NaN NaN NaN NaN NaN NaN 5.259 -0.542 1992 4 NaN NaN NaN NaN NaN NaN 11.662 -0.126 1992 5 NaN NaN NaN NaN NaN NaN 15.267 -1.901 1992 6 NaN NaN NaN NaN NaN NaN 20.173 -1.644 1992 7 NaN NaN NaN NaN NaN NaN 24.303 -0.002 1992 8 NaN NaN NaN NaN NaN NaN 21.723 -1.839 1992 9 NaN NaN NaN NaN NaN NaN 19.331 -0.406 1992 10 NaN NaN NaN NaN NaN NaN 11.419 -1.642 1992 11 NaN NaN NaN NaN NaN NaN 7.918 0.627 1992 12 NaN NaN NaN NaN NaN NaN 2.001 0.392 1993 1 2.167 3.228 0 0 1.613 2.675 2.062 2.531 1993 2 -0.611 -0.819 0 0 -1.165 -1.373 -1.055 -1.856 1993 3 3.222 -1.986 0 0 2.669 -2.540 3.867 -1.934 1993 4 10.944 -0.250 0 0 10.391 -0.804 11.561 -0.227 1993 5 18.833 2.259 0 0 18.280 1.705 18.007 0.840 1993 6 22.000 0.776 0 0 21.446 0.223 21.840 0.023 1993 7 26.056 2.344 0 0 25.502 1.791 25.991 1.687 1993 8 25.000 2.031 0 0 24.446 1.478 24.565 1.003 1993 9 19.833 0.689 0 0 19.280 0.136 20.205 0.468 1993 10 12.556 0.087 0 0 12.002 -0.466 12.297 -0.764 1993 11 7.500 0.803 0 0 6.946 0.249 7.863 0.573 1993 12 0.722 -0.294 0 0 0.169 -0.848 0.997 -0.612 1994 1 -4.111 -3.049 0 0 -4.665 -3.603 -4.408 -3.940 1994 2 1.167 0.959 0 0 0.613 0.405 -0.399 -1.200 1994 3 5.556 0.347 0 0 5.002 -0.206 5.196 -0.605 1994 4 14.944 3.750 0 0 14.391 3.196 14.979 3.191 1994 5 14.944 -1.630 0 0 14.391 -2.184 15.251 -1.917 1994 6 24.444 3.221 0 0 23.891 2.667 23.856 2.039 1994 7 25.389 1.678 0 0 24.835 1.124 25.557 1.253 1994 8 22.333 -0.635 0 0 21.780 -1.189 22.485 -1.076 1994 9 19.389 0.245 0 0 18.835 -0.309 19.293 -0.444 1994 10 12.056 -0.413 0 0 11.502 -0.966 12.327 -0.734 1994 11 9.944 3.247 0 0 9.391 2.693 10.422 3.132 1994 12 4.778 3.761 0 0 4.224 3.208 4.315 2.705 1995 1 2.056 3.117 0 0 1.502 2.564 1.936 2.405 1995 2 -1.444 -1.652 0 0 -1.998 -2.206 -1.095 -1.896 1995 3 7.111 1.903 0 0 6.558 1.349 7.808 2.007 1995 4 10.500 -0.695 0 0 9.946 -1.248 11.781 -0.007 1995 5 17.278 0.703 0 0 16.724 0.150 16.695 -0.472 1995 6 22.000 0.776 0 0 21.446 0.223 21.961 0.144 1995 7 25.389 1.678 0 0 24.835 1.124 25.653 1.349 1995 8 25.056 2.087 0 0 24.502 1.533 25.253 1.691 1995 9 19.333 0.189 0 0 18.780 -0.364 19.947 0.210 1995 10 14.667 2.199 0 0 14.113 1.645 14.884 1.823 1995 11 4.278 -2.420 0 0 3.724 -2.973 5.262 -2.029 1995 12 -0.167 -1.183 0 0 -0.720 -1.737 -0.370 -1.979 1996 1 -1.222 -0.160 0 0 -1.776 -0.714 -1.617 -1.149 1996 2 0.944 0.736 0 0 0.391 0.183 0.497 -0.304 1996 3 2.556 -2.653 0 4 3.355 -1.853 3.861 -1.940 1996 4 10.667 -0.528 0 0 11.466 0.271 12.527 0.739 1996 5 14.667 -1.908 0 0 15.466 -1.108 15.754 -1.414 1996 6 21.167 -0.057 0 0 21.966 0.742 22.719 0.902 1996 7 21.611 -2.100 0 0 22.411 -1.301 23.243 -1.061 1996 8 21.167 -1.802 0 0 21.966 -1.002 22.967 -0.595 1996 9 17.944 -1.200 0 0 18.744 -0.400 20.014 0.277 1996 10 11.667 -0.801 0 0 12.466 -0.002 13.011 -0.050 1996 11 3.111 -3.586 0 0 3.911 -2.787 5.057 -2.233 1996 12 2.222 1.206 0 0 3.022 2.005 3.417 1.808 1997 1 -0.444 0.617 0 0 0.355 1.417 -0.087 0.382 1997 2 3.167 2.959 0 0 3.966 3.758 3.848 3.047 1997 3 5.889 0.681 0 0 6.688 1.480 7.238 1.437 1997 4 8.611 -2.584 0 0 9.411 -1.784 10.875 -0.913 1997 5 13.667 -2.908 0 0 14.466 -2.108 15.124 -2.043 1997 6 20.167 -1.057 0 0 20.966 -0.258 21.098 -0.719 1997 7 22.944 -0.767 0 0 23.744 0.033 24.535 0.231 1997 8 21.389 -1.580 0 0 22.188 -0.780 23.048 -0.514 1997 9 17.667 -1.478 0 0 18.466 -0.678 19.471 -0.267 1997 10 NaN NaN NaN NaN NaN NaN 13.035 -0.026 1997 11 NaN NaN NaN NaN NaN NaN 6.557 -0.733 1997 12 NaN NaN NaN NaN NaN NaN 2.738 1.129 1998 1 NaN NaN NaN NaN NaN NaN 4.041 4.510 1998 2 NaN NaN NaN NaN NaN NaN 4.257 3.456 1998 3 NaN NaN NaN NaN NaN NaN 7.287 1.486 1998 4 NaN NaN NaN NaN NaN NaN 13.379 1.592 1998 5 NaN NaN NaN NaN NaN NaN 18.840 1.673 1998 6 NaN NaN NaN NaN NaN NaN 21.555 -0.261 1998 7 NaN NaN NaN NaN NaN NaN 24.425 0.121 1998 8 NaN NaN NaN NaN NaN NaN 24.381 0.820 1998 9 NaN NaN NaN NaN NaN NaN 22.552 2.814 1998 10 13.667 1.199 0 2 13.829 1.361 13.763 0.702 1998 11 7.778 1.080 0 0 7.940 1.243 8.728 1.437 1998 12 5.000 3.984 0 0 5.162 4.146 5.079 3.469 1999 1 0.500 1.562 0 0 0.662 1.724 1.204 1.672 1999 2 2.111 1.903 0 0 2.274 2.066 2.447 1.646 1999 3 3.556 -1.653 0 0 3.718 -1.490 5.258 -0.543 1999 4 11.333 0.139 0 0 11.496 0.301 12.378 0.591 1999 5 16.667 0.092 0 0 16.829 0.255 17.477 0.310 1999 6 21.722 0.498 0 0 21.885 0.661 21.983 0.166 1999 7 25.444 1.733 0 0 25.607 1.896 26.505 2.201 1999 8 23.167 0.198 0 0 23.329 0.360 24.288 0.727 1999 9 18.500 -0.644 0 0 18.662 -0.482 20.068 0.330 1999 10 11.389 -1.079 0 0 11.551 -0.917 12.179 -0.882 1999 11 9.222 2.525 0 0 9.385 2.687 10.644 3.354 1999 12 2.611 1.595 0 0 2.774 1.757 3.239 1.630 2000 1 -0.444 0.617 0 0 -0.282 0.780 -0.313 0.156 2000 2 3.389 3.181 0 0 3.551 3.343 2.931 2.130 2000 3 8.056 2.847 0 0 8.218 3.010 9.200 3.399 2000 4 11.056 -0.139 0 0 11.218 0.023 11.910 0.122 2000 5 17.778 1.203 0 0 17.940 1.366 18.266 1.098 2000 6 22.111 0.887 0 0 22.274 1.050 22.369 0.552 2000 7 21.444 -2.267 0 0 21.607 -2.104 22.307 -1.997 2000 8 21.611 -1.357 0 0 21.774 -1.195 22.743 -0.819 2000 9 17.944 -1.200 0 0 18.107 -1.037 18.984 -0.753 2000 10 13.611 1.143 0 0 13.774 1.305 13.785 0.724 2000 11 5.056 -1.642 0 0 5.218 -1.480 6.760 -0.530 2000 12 -2.944 -3.961 0 0 -2.782 -3.798 -2.224 -3.833 2001 1 -1.222 -0.160 0 0 -1.060 0.002 -0.687 -0.218 2001 2 3.000 2.792 0 0 3.162 2.954 2.643 1.842 2001 3 3.833 -1.375 0 0 3.996 -1.212 4.677 -1.124 2001 4 12.389 1.194 0 0 12.551 1.357 12.904 1.116 2001 5 16.667 0.092 0 0 16.829 0.255 17.055 -0.113 2001 6 21.444 0.221 0 0 21.607 0.383 22.435 0.618 2001 7 21.611 -2.100 0 0 21.774 -1.938 22.657 -1.647 2001 8 24.278 1.309 0 0 24.440 1.472 24.855 1.293 2001 9 17.889 -1.255 0 0 18.051 -1.093 19.155 -0.583 2001 10 NaN NaN NaN NaN NaN NaN 13.313 0.252 2001 11 NaN NaN NaN NaN NaN NaN 10.903 3.613 2001 12 NaN NaN NaN NaN NaN NaN 5.269 3.660 2002 1 NaN NaN NaN NaN NaN NaN 3.375 3.844 2002 2 NaN NaN NaN NaN NaN NaN 3.739 2.938 2002 3 NaN NaN NaN NaN NaN NaN 7.258 1.457 2002 4 NaN NaN NaN NaN NaN NaN 14.041 2.254 2002 5 NaN NaN NaN NaN NaN NaN 16.657 -0.510 2002 6 NaN NaN NaN NaN NaN NaN 22.839 1.022 2002 7 NaN NaN NaN NaN NaN NaN 25.600 1.296 2002 8 NaN NaN NaN NaN NaN NaN 25.505 1.943 2002 9 NaN NaN NaN NaN NaN NaN 21.253 1.516