% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34325 % Primary Name: VIENNA BRISCOE 2 N % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.35000 +/- 0.00005 % Longitude: -81.53330 +/- 0.00005 % Elevation (m): 192.00 +/- 0.05 % # of Months: 152 % % Alternate Names: VIENNA BRISCOE % % IDs: coop - 469168 % ghcnd - USC00469168 % ncdc - 20021641 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2db5facf8fd8976b00550d84c4bf7c7d % Raw Data Hash: 093299d39d883a5976d91cc5904add6d % Adj Data Hash: 9c3a66b4d07174a85942f9284e4e8ee0 % % 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 1945 11 NaN NaN NaN NaN NaN NaN 7.476 1.194 1945 12 NaN NaN NaN NaN NaN NaN -2.106 -3.157 1946 1 NaN NaN NaN NaN NaN NaN 0.547 1.785 1946 2 NaN NaN NaN NaN NaN NaN 1.148 0.999 1946 3 NaN NaN NaN NaN NaN NaN 11.151 5.723 1946 4 NaN NaN NaN NaN NaN NaN 11.526 0.221 1946 5 NaN NaN NaN NaN NaN NaN 15.731 -0.872 1946 6 NaN NaN NaN NaN NaN NaN 20.665 -0.207 1946 7 NaN NaN NaN NaN NaN NaN 22.498 -0.430 1946 8 NaN NaN NaN NaN NaN NaN 19.691 -2.700 1946 9 NaN NaN NaN NaN NaN NaN 19.372 0.438 1946 10 NaN NaN NaN NaN NaN NaN 13.990 1.859 1946 11 8.725 2.080 1 0 NaN NaN 9.090 2.808 1946 12 4.140 2.726 1 0 NaN NaN 3.074 2.022 1947 1 4.236 5.111 0 0 3.100 3.974 2.851 4.088 1947 2 NaN NaN NaN NaN NaN NaN -4.977 -5.126 1947 3 NaN NaN NaN NaN NaN NaN 1.364 -4.064 1947 4 14.112 2.443 1 0 NaN NaN 12.918 1.612 1947 5 16.167 -0.799 0 0 15.379 -1.587 15.215 -1.388 1947 6 21.889 0.655 0 0 21.227 -0.007 20.372 -0.500 1947 7 21.068 -2.224 1 0 NaN NaN 20.607 -2.321 1947 8 26.095 3.342 1 0 NaN NaN 24.795 2.405 1947 9 19.807 0.510 0 0 19.110 -0.187 19.543 0.609 1947 10 16.398 3.904 0 0 15.597 3.103 15.962 3.830 1947 11 6.592 -0.053 1 0 NaN NaN 5.472 -0.811 1947 12 1.345 -0.069 1 0 NaN NaN 0.313 -0.738 1948 1 -4.485 -3.610 1 0 NaN NaN -5.868 -4.631 1948 2 2.495 1.983 1 0 NaN NaN 0.727 0.578 1948 3 9.105 3.314 0 0 8.058 2.268 8.229 2.801 1948 4 14.819 3.151 0 0 13.892 2.224 13.974 2.669 1948 5 17.402 0.436 0 0 16.615 -0.351 15.609 -0.995 1948 6 21.278 0.044 0 0 20.616 -0.618 21.000 0.128 1948 7 23.889 0.598 0 0 23.287 -0.004 23.089 0.160 1948 8 23.222 0.469 0 0 22.599 -0.154 22.124 -0.267 1948 9 20.667 1.370 0 0 19.969 0.672 19.291 0.357 1948 10 11.889 -0.605 0 0 11.088 -1.406 10.321 -1.811 1948 11 9.722 3.077 0 0 8.792 2.147 9.150 2.868 1948 12 3.833 2.419 0 0 2.773 1.359 2.629 1.577 1949 1 5.722 6.597 0 0 4.586 5.460 3.958 5.195 1949 2 6.111 5.599 0 0 4.986 4.474 3.762 3.613 1949 3 7.556 1.765 0 0 6.509 0.719 5.959 0.532 1949 4 11.556 -0.113 0 0 10.628 -1.040 10.394 -0.911 1949 5 17.833 0.867 0 0 17.046 0.080 16.984 0.381 1949 6 NaN NaN NaN NaN NaN NaN 22.555 1.683 1949 7 26.111 2.820 0 0 25.510 2.218 25.009 2.081 1949 8 23.833 1.080 0 0 23.210 0.457 22.754 0.363 1949 9 17.556 -1.741 0 0 16.858 -2.439 16.649 -2.285 1949 10 16.444 3.950 0 0 15.644 3.150 15.187 3.055 1949 11 7.278 0.633 0 0 6.348 -0.297 6.344 0.062 1949 12 4.278 2.864 0 0 3.217 1.803 2.700 1.649 1950 1 7.500 8.375 0 0 6.364 7.238 5.851 7.088 1950 2 3.611 3.099 0 0 2.486 1.974 1.467 1.318 1950 3 4.778 -1.012 0 0 3.732 -2.059 3.751 -1.676 1950 4 10.222 -1.446 0 0 9.295 -2.373 9.319 -1.986 1950 5 18.167 1.201 0 0 17.379 0.413 16.942 0.339 1950 6 21.111 -0.123 0 0 20.449 -0.785 20.177 -0.695 1950 7 22.778 -0.513 0 0 22.176 -1.115 21.438 -1.490 1950 8 21.722 -1.031 0 0 21.099 -1.654 21.076 -1.315 1950 9 18.500 -0.797 0 0 17.803 -1.494 18.173 -0.762 1950 10 15.333 2.839 0 0 14.533 2.039 14.093 1.961 1950 11 5.389 -1.256 0 0 4.459 -2.186 4.174 -2.109 1950 12 -1.000 -2.414 0 0 -2.061 -3.475 -2.144 -3.196 1951 1 2.611 3.486 0 0 1.475 2.349 0.752 1.989 1951 2 3.889 3.377 0 0 2.763 2.252 0.842 0.693 1951 3 7.611 1.821 0 0 6.565 0.775 5.984 0.556 1951 4 11.111 -0.557 0 0 10.184 -1.484 10.534 -0.771 1951 5 17.389 0.423 0 4 17.479 0.513 16.824 0.221 1951 6 21.444 0.210 0 0 21.660 0.425 21.220 0.349 1951 7 23.667 0.375 0 0 23.942 0.651 22.913 -0.015 1951 8 22.278 -0.476 0 0 22.532 -0.222 21.789 -0.602 1951 9 18.667 -0.630 0 0 18.846 -0.451 18.495 -0.440 1951 10 14.167 1.673 0 0 14.243 1.749 13.573 1.441 1951 11 3.333 -3.312 0 0 3.280 -3.365 3.675 -2.607 1951 12 1.778 0.364 0 0 1.594 0.180 1.762 0.711 1952 1 3.722 4.597 0 0 3.463 4.337 2.637 3.874 1952 2 2.556 2.044 0 0 2.307 1.795 2.103 1.954 1952 3 5.167 -0.624 0 0 4.997 -0.793 5.406 -0.022 1952 4 11.778 0.110 0 0 11.728 0.059 11.735 0.429 1952 5 16.833 -0.133 0 0 16.923 -0.043 16.169 -0.434 1952 6 23.500 2.266 0 4 23.784 2.550 23.179 2.307 1952 7 24.722 1.431 0 0 24.969 1.677 24.189 1.261 1952 8 22.611 -0.142 0 0 22.871 0.118 22.268 -0.123 1952 9 18.222 -1.075 0 0 18.529 -0.768 18.614 -0.320 1952 10 9.500 -2.994 0 0 9.871 -2.623 9.584 -2.547 1952 11 7.000 0.355 0 0 7.452 0.807 7.274 0.991 1952 12 1.833 0.419 0 0 2.367 0.953 2.197 1.146 1953 1 2.556 3.430 0 0 3.136 4.011 2.723 3.961 1953 2 2.611 2.099 0 0 3.185 2.673 2.234 2.085 1953 3 6.278 0.488 0 0 6.802 1.012 6.748 1.320 1953 4 9.944 -1.724 0 0 10.394 -1.274 10.288 -1.018 1953 5 19.056 2.090 0 0 19.418 2.452 18.985 2.381 1953 6 23.000 1.766 0 0 23.284 2.050 22.408 1.536 1953 7 24.000 0.709 0 0 24.246 0.955 23.449 0.521 1953 8 22.778 0.024 0 0 23.038 0.284 22.635 0.244 1953 9 18.500 -0.797 0 0 18.806 -0.490 19.055 0.121 1953 10 13.111 0.617 0 0 13.482 0.988 13.380 1.249 1953 11 5.278 -1.367 0 0 5.729 -0.915 6.413 0.130 1953 12 1.389 -0.025 0 0 1.922 0.508 1.878 0.827 1954 1 0.222 1.097 0 0 0.803 1.678 0.111 1.348 1954 2 3.778 3.266 0 0 4.352 3.840 3.772 3.623 1954 3 3.944 -1.846 0 0 4.469 -1.322 4.591 -0.837 1954 4 14.056 2.387 0 0 14.505 2.837 14.799 3.494 1954 5 14.278 -2.688 0 0 14.640 -2.326 14.226 -2.377 1954 6 22.056 0.821 0 0 22.340 1.105 21.661 0.789 1954 7 22.833 -0.458 0 0 23.080 -0.211 22.669 -0.260 1954 8 22.500 -0.253 0 0 22.760 0.006 22.181 -0.210 1954 9 20.222 0.925 0 0 20.529 1.232 20.521 1.586 1954 10 13.556 1.062 0 0 13.926 1.432 13.479 1.348 1954 11 5.222 -1.423 0 0 5.674 -0.971 6.039 -0.243 1954 12 -0.222 -1.636 0 0 0.311 -1.103 0.374 -0.677 1955 1 -1.611 -0.737 0 0 -1.030 -0.156 -1.665 -0.428 1955 2 0.389 -0.123 0 0 0.963 0.451 0.385 0.236 1955 3 5.500 -0.290 0 0 6.024 0.234 6.667 1.239 1955 4 13.444 1.776 0 0 13.894 2.226 14.084 2.778 1955 5 17.722 0.756 0 0 18.085 1.119 17.567 0.964 1955 6 18.667 -2.568 0 0 18.951 -2.284 18.528 -2.343 1955 7 25.167 1.875 0 0 25.413 2.122 24.912 1.983 1955 8 24.778 2.024 0 0 25.038 2.284 24.290 1.899 1955 9 20.333 1.036 0 0 20.640 1.343 20.328 1.394 1955 10 13.167 0.673 0 0 13.538 1.044 12.562 0.431 1955 11 4.833 -1.812 0 0 5.285 -1.360 5.280 -1.002 1955 12 -1.389 -2.803 0 0 -0.856 -2.270 -0.934 -1.985 1956 1 NaN NaN NaN NaN NaN NaN -2.226 -0.989 1956 2 1.833 1.322 0 0 2.407 1.896 2.684 2.535 1956 3 4.556 -1.235 0 0 5.080 -0.710 5.048 -0.380 1956 4 9.722 -1.946 0 0 10.172 -1.496 9.945 -1.361 1956 5 16.333 -0.633 0 0 16.696 -0.270 16.098 -0.506 1956 6 21.167 -0.068 0 0 21.451 0.216 20.651 -0.221 1956 7 22.944 -0.347 0 0 23.191 -0.100 22.162 -0.766 1956 8 21.889 -0.865 0 0 22.149 -0.605 21.718 -0.672 1956 9 17.278 -2.019 0 0 17.584 -1.713 17.405 -1.529 1956 10 14.056 1.562 0 0 14.426 1.932 14.049 1.917 1956 11 6.556 -0.089 0 0 7.007 0.362 6.743 0.461 1956 12 5.389 3.975 0 0 5.922 4.508 5.810 4.759 1957 1 -2.722 -1.848 0 0 -2.141 -1.267 -2.818 -1.580 1957 2 3.278 2.766 0 0 3.852 3.340 3.109 2.960 1957 3 4.556 -1.235 0 0 5.080 -0.710 5.701 0.274 1957 4 12.667 0.998 0 0 13.117 1.448 13.350 2.045 1957 5 17.056 0.090 0 0 17.418 0.452 17.172 0.568 1957 6 22.833 1.599 0 0 23.117 1.883 22.376 1.505 1957 7 23.444 0.153 0 0 23.691 0.400 22.815 -0.113 1957 8 22.444 -0.309 0 0 22.704 -0.049 21.615 -0.776 1957 9 20.500 1.203 0 0 20.806 1.510 19.856 0.921 1957 10 10.778 -1.716 0 0 11.149 -1.345 10.028 -2.103 1957 11 6.778 0.133 0 0 7.229 0.585 7.150 0.868 1957 12 2.833 1.419 0 0 3.367 1.953 2.927 1.876 1958 1 -2.167 -1.292 0 0 -1.586 -0.711 -2.196 -0.959 1958 2 -3.833 -4.345 0 0 -3.259 -3.771 -4.383 -4.532 1958 3 3.611 -2.179 0 0 4.135 -1.655 3.705 -1.722 1958 4 11.667 -0.002 0 0 12.117 0.448 11.798 0.492 1958 5 16.167 -0.799 0 0 16.529 -0.437 15.653 -0.951 1958 6 19.167 -2.068 0 0 19.451 -1.784 19.096 -1.776 1958 7 23.833 0.542 0 0 24.080 0.789 23.213 0.284 1958 8 21.889 -0.865 0 0 22.149 -0.605 21.603 -0.788 1958 9 19.000 -0.297 0 0 19.306 0.010 18.950 0.016 1958 10 12.056 -0.438 0 0 12.426 -0.068 11.828 -0.303 1958 11 7.333 0.688 0 0 7.785 1.140 8.015 1.733 1958 12 -3.889 -5.303 0 0 -3.356 -4.770 -3.153 -4.204 1959 1 -1.833 -0.959 0 0 -1.253 -0.378 -2.159 -0.922 1959 2 1.111 0.599 0 0 1.685 1.173 1.224 1.075 1959 3 4.778 -1.012 0 0 5.302 -0.488 4.802 -0.625 1959 4 11.722 0.054 0 0 12.172 0.504 12.099 0.793 1959 5 19.167 2.201 0 0 19.529 2.563 18.878 2.275 1959 6 21.222 -0.012 0 0 21.506 0.272 20.756 -0.116 1959 7 23.944 0.653 0 0 24.191 0.900 23.311 0.383 1959 8 24.611 1.858 0 0 24.871 2.118 24.311 1.920 1959 9 20.556 1.259 0 0 20.862 1.565 20.707 1.773 1959 10 12.889 0.395 0 0 13.260 0.766 13.107 0.975 1959 11 NaN NaN NaN NaN NaN NaN 5.723 -0.559 1959 12 NaN NaN NaN NaN NaN NaN 2.765 1.714 1960 1 NaN NaN NaN NaN NaN NaN 1.038 2.276 1960 2 NaN NaN NaN NaN NaN NaN -0.972 -1.121 1960 3 NaN NaN NaN NaN NaN NaN -1.468 -6.895 1960 4 NaN NaN NaN NaN NaN NaN 13.595 2.289 1960 5 NaN NaN NaN NaN NaN NaN 15.175 -1.429 1960 6 NaN NaN NaN NaN NaN NaN 20.462 -0.409 1960 7 NaN NaN NaN NaN NaN NaN 21.507 -1.422 1960 8 NaN NaN NaN NaN NaN NaN 23.235 0.844 1960 9 NaN NaN NaN NaN NaN NaN 20.358 1.424 1960 10 NaN NaN NaN NaN NaN NaN 12.501 0.370