% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33001 % Primary Name: MONARCH % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.25000 +/- 0.00005 % Longitude: -81.38330 +/- 0.00005 % Elevation (m): 328.88 +/- 216.65 % # of Months: 17 % % Alternate Names: Missing Station ID - 466140 % % IDs: coop - 466140 % ghcnd - USC00466140 % ncdc - 12006093 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 0b5257b2865b82f1969c0c32626634bc % Raw Data Hash: 7bd04dc357e3ec05c061bef1bcd9833f % Adj Data Hash: d2780096c627ecce20e390dd546b2c07 % % 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 1893 1 NaN NaN NaN NaN NaN NaN -6.445 -6.008 1893 2 NaN NaN NaN NaN NaN NaN 1.457 0.526 1893 3 NaN NaN NaN NaN NaN NaN 5.047 -0.714 1893 4 NaN NaN NaN NaN NaN NaN 12.359 0.949 1893 5 NaN NaN NaN NaN NaN NaN 14.970 -1.350 1893 6 NaN NaN NaN NaN NaN NaN 20.207 0.151 1893 7 NaN NaN NaN NaN NaN NaN 22.769 0.613 1893 8 NaN NaN NaN NaN NaN NaN 20.718 -0.997 1893 9 NaN NaN NaN NaN NaN NaN 18.133 -0.263 1893 10 NaN NaN NaN NaN NaN NaN 11.441 -0.447 1893 11 NaN NaN NaN NaN NaN NaN 5.233 -1.005 1893 12 NaN NaN NaN NaN NaN NaN 2.176 0.700 1894 1 5.526 4.003 1 0 NaN NaN 1.846 2.283 1894 2 2.602 -0.290 0 0 2.602 -0.290 0.499 -0.433 1894 3 9.852 2.130 0 0 9.852 2.130 7.913 2.152 1894 4 11.852 -1.518 0 0 11.852 -1.518 10.615 -0.794 1894 5 18.226 -0.055 0 0 18.226 -0.055 16.174 -0.146 1894 6 22.463 0.446 0 0 22.463 0.446 20.410 0.354 1894 7 23.566 -0.551 0 0 23.566 -0.551 21.710 -0.447 1894 8 23.405 -0.271 0 0 23.405 -0.271 21.174 -0.541 1894 9 21.074 0.718 0 0 21.074 0.718 19.702 1.306 1894 10 13.333 -0.515 0 0 13.333 -0.515 11.478 -0.410 1894 11 NaN NaN NaN NaN NaN NaN 4.520 -1.718 1894 12 3.674 0.237 0 0 3.674 0.237 1.798 0.321 1895 1 0.108 -1.416 0 0 0.108 -1.416 -2.678 -2.241 1895 2 -3.135 -6.027 0 0 -3.135 -6.027 -5.908 -6.839 1895 3 6.398 -1.323 0 0 6.398 -1.323 4.805 -0.956 1895 4 12.852 -0.518 0 0 12.852 -0.518 11.131 -0.278 1895 5 NaN NaN NaN NaN NaN NaN 15.090 -1.230 1895 6 NaN NaN NaN NaN NaN NaN 20.734 0.677 1895 7 NaN NaN NaN NaN NaN NaN 20.674 -1.482 1895 8 NaN NaN NaN NaN NaN NaN 21.938 0.223 1895 9 20.307 -0.050 1 0 NaN NaN 20.679 2.283 1895 10 NaN NaN NaN NaN NaN NaN 8.159 -3.729 1895 11 NaN NaN NaN NaN NaN NaN 6.969 0.731 1895 12 NaN NaN NaN NaN NaN NaN 1.853 0.377 1896 1 NaN NaN NaN NaN NaN NaN -0.640 -0.203 1896 2 NaN NaN NaN NaN NaN NaN 0.109 -0.823 1896 3 NaN NaN NaN NaN NaN NaN 2.982 -2.779 1896 4 NaN NaN NaN NaN NaN NaN 14.267 2.858 1896 5 NaN NaN NaN NaN NaN NaN 19.553 3.233 1896 6 NaN NaN NaN NaN NaN NaN 19.916 -0.141 1896 7 NaN NaN NaN NaN NaN NaN 22.186 0.030 1896 8 NaN NaN NaN NaN NaN NaN 21.871 0.155 1896 9 NaN NaN NaN NaN NaN NaN 18.192 -0.204 1896 10 NaN NaN NaN NaN NaN NaN 10.070 -1.818 1896 11 NaN NaN NaN NaN NaN NaN 8.567 2.329 1896 12 NaN NaN NaN NaN NaN NaN 0.842 -0.635 1897 1 0.556 -0.968 1 0 NaN NaN -2.470 -2.033 1897 2 NaN NaN NaN NaN NaN NaN 1.840 0.908 1897 3 NaN NaN NaN NaN NaN NaN 7.789 2.028 1897 4 NaN NaN NaN NaN NaN NaN 11.200 -0.210 1897 5 NaN NaN NaN NaN NaN NaN 13.996 -2.323 1897 6 NaN NaN NaN NaN NaN NaN 20.167 0.110 1897 7 NaN NaN NaN NaN NaN NaN 22.537 0.380 1897 8 NaN NaN NaN NaN NaN NaN 21.034 -0.681 1897 9 NaN NaN NaN NaN NaN NaN 19.025 0.629 1897 10 NaN NaN NaN NaN NaN NaN 13.567 1.679 1897 11 NaN NaN NaN NaN NaN NaN 7.151 0.913 1897 12 NaN NaN NaN NaN NaN NaN 2.240 0.763 1898 1 NaN NaN NaN NaN NaN NaN 1.767 2.204