% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33147 % Primary Name: INSTITUTE WERTZ FIELD % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.38330 +/- 0.00005 % Longitude: -81.66670 +/- 0.00005 % Elevation (m): 184.70 +/- 0.05 % # of Months: 127 % % Alternate Names: INST WERTZ FLD % Missing Station ID - 464455 % % IDs: coop - 464455 % ghcnd - USC00464455 % ncdc - 20021443 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f202388d0b261a35f89959c05da012fa % Raw Data Hash: 1ed5b0fa133420256565929102b32979 % Adj Data Hash: fe1654d7de7b8ffbc3633463ec5e9169 % % 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 1936 4 NaN NaN NaN NaN NaN NaN 9.975 -1.434 1936 5 NaN NaN NaN NaN NaN NaN 17.516 1.196 1936 6 NaN NaN NaN NaN NaN NaN 20.868 0.812 1936 7 NaN NaN NaN NaN NaN NaN 23.420 1.263 1936 8 NaN NaN NaN NaN NaN NaN 23.279 1.564 1936 9 NaN NaN NaN NaN NaN NaN 20.288 1.893 1936 10 NaN NaN NaN NaN NaN NaN 13.217 1.329 1936 11 NaN NaN NaN NaN NaN NaN 5.272 -0.966 1936 12 NaN NaN NaN NaN NaN NaN 2.499 1.023 1937 1 NaN NaN NaN NaN NaN NaN 5.723 6.160 1937 2 NaN NaN NaN NaN NaN NaN 0.505 -0.427 1937 3 NaN NaN NaN NaN NaN NaN 3.866 -1.895 1937 4 12.667 -0.309 0 0 12.276 -0.700 10.984 -0.426 1937 5 17.611 -0.275 0 0 17.220 -0.666 15.819 -0.501 1937 6 22.833 1.211 0 0 22.442 0.820 20.750 0.693 1937 7 NaN NaN NaN NaN NaN NaN 21.381 -0.776 1937 8 25.000 1.718 0 0 24.609 1.328 22.598 0.882 1937 9 18.889 -1.073 0 0 18.498 -1.464 17.102 -1.294 1937 10 11.333 -2.121 0 0 10.942 -2.512 9.849 -2.039 1937 11 5.833 -1.971 0 0 5.442 -2.362 4.774 -1.464 1937 12 2.000 -1.043 0 0 1.609 -1.434 0.214 -1.263 1938 1 2.556 1.427 0 0 2.165 1.036 0.282 0.719 1938 2 7.000 4.502 0 0 6.609 4.111 4.366 3.435 1938 3 11.833 4.506 0 0 11.442 4.115 9.318 3.556 1938 4 14.944 1.969 0 0 14.554 1.578 12.706 1.297 1938 5 17.667 -0.219 0 0 17.276 -0.610 15.925 -0.395 1938 6 21.222 -0.400 0 0 20.831 -0.791 19.102 -0.954 1938 7 24.111 0.389 0 0 23.720 -0.002 22.103 -0.053 1938 8 24.556 1.274 0 0 24.165 0.883 22.409 0.693 1938 9 20.389 0.427 0 0 19.998 0.036 18.874 0.478 1938 10 14.222 0.768 0 0 13.831 0.377 12.339 0.451 1938 11 8.444 0.640 0 0 8.054 0.249 7.509 1.271 1938 12 3.389 0.346 0 0 2.998 -0.045 1.195 -0.281 1939 1 4.667 3.538 0 0 4.276 3.147 1.747 2.184 1939 2 5.444 2.947 0 0 5.054 2.556 3.597 2.665 1939 3 8.833 1.506 0 0 8.442 1.115 7.477 1.716 1939 4 12.000 -0.975 0 0 11.609 -1.366 10.352 -1.057 1939 5 19.222 1.336 0 0 18.831 0.946 16.814 0.494 1939 6 24.333 2.711 0 0 23.942 2.320 22.072 2.016 1939 7 24.056 0.333 0 0 23.665 -0.058 21.795 -0.362 1939 8 24.056 0.774 0 0 23.665 0.383 21.757 0.042 1939 9 22.778 2.816 0 0 22.387 2.425 20.296 1.900 1939 10 15.333 1.879 0 0 14.942 1.488 13.161 1.273 1939 11 6.333 -1.471 0 0 5.942 -1.862 4.723 -1.515 1939 12 3.667 0.624 0 0 3.276 0.233 2.061 0.584 1940 1 -4.556 -5.684 0 0 -4.946 -6.075 -6.767 -6.330 1940 2 2.111 -0.387 0 0 1.720 -0.778 0.138 -0.793 1940 3 5.111 -2.216 0 0 4.720 -2.607 3.915 -1.846 1940 4 10.833 -2.142 0 0 10.442 -2.533 10.135 -1.274 1940 5 17.111 -0.775 0 0 16.720 -1.166 15.024 -1.296 1940 6 22.778 1.156 0 0 22.387 0.765 20.363 0.307 1940 7 24.389 0.666 0 0 23.998 0.275 21.629 -0.528 1940 8 24.444 1.163 0 0 24.054 0.772 21.263 -0.453 1940 9 18.944 -1.017 0 0 18.554 -1.408 16.665 -1.731 1940 10 13.889 0.435 0 0 13.498 0.044 12.058 0.170 1940 11 7.667 -0.137 0 0 7.276 -0.528 6.486 0.248 1940 12 6.111 3.068 0 0 5.720 2.678 4.494 3.017 1941 1 1.556 0.427 0 4 1.928 0.799 -0.186 0.251 1941 2 -0.333 -2.831 0 0 0.039 -2.458 -2.343 -3.275 1941 3 2.444 -4.883 0 0 2.817 -4.510 1.934 -3.827 1941 4 14.222 1.247 0 0 14.595 1.620 13.480 2.071 1941 5 17.722 -0.164 0 0 18.095 0.209 16.653 0.334 1941 6 22.667 1.044 0 0 23.039 1.417 20.695 0.639 1941 7 24.778 1.055 0 0 25.150 1.428 23.121 0.965 1941 8 23.278 -0.004 0 0 23.650 0.369 22.001 0.286 1941 9 21.111 1.149 0 0 21.484 1.522 20.195 1.800 1941 10 16.389 2.935 0 0 16.762 3.307 15.145 3.256 1941 11 7.167 -0.637 0 0 7.539 -0.265 6.915 0.677 1941 12 5.222 2.179 0 0 5.595 2.552 4.071 2.594 1942 1 -0.444 -1.573 0 0 -0.072 -1.201 -1.166 -0.728 1942 2 -0.444 -2.942 0 0 -0.072 -2.570 -1.870 -2.802 1942 3 7.833 0.506 0 0 8.206 0.879 6.880 1.119 1942 4 13.333 0.358 0 0 13.706 0.731 12.832 1.423 1942 5 18.278 0.392 0 0 18.650 0.765 16.917 0.597 1942 6 23.556 1.933 0 0 23.928 2.306 21.285 1.229 1942 7 24.778 1.055 0 0 25.150 1.428 22.748 0.591 1942 8 23.167 -0.115 0 0 23.539 0.258 21.517 -0.199 1942 9 20.000 0.038 0 0 20.373 0.411 18.408 0.012 1942 10 14.667 1.212 0 0 15.039 1.585 12.904 1.016 1942 11 8.500 0.696 0 0 8.873 1.069 7.670 1.432 1942 12 1.000 -2.043 0 0 1.373 -1.670 0.285 -1.192 1943 1 3.167 2.038 0 0 3.539 2.411 1.957 2.394 1943 2 2.667 0.169 0 0 3.039 0.542 1.235 0.303 1943 3 4.778 -2.549 0 0 5.150 -2.177 4.695 -1.066 1943 4 10.000 -2.975 0 0 10.373 -2.603 9.470 -1.939 1943 5 18.389 0.503 0 0 18.762 0.876 17.113 0.793 1943 6 24.500 2.878 0 0 24.873 3.250 23.028 2.972 1943 7 24.222 0.500 0 0 24.595 0.872 22.372 0.215 1943 8 23.778 0.496 0 0 24.150 0.869 22.426 0.711 1943 9 18.333 -1.628 0 0 18.706 -1.256 16.945 -1.451 1943 10 12.500 -0.954 0 0 12.873 -0.582 11.269 -0.619 1943 11 5.333 -2.471 0 0 5.706 -2.098 5.577 -0.661 1943 12 0.722 -2.321 0 0 1.095 -1.948 0.397 -1.080 1944 1 1.556 0.427 0 0 1.928 0.799 0.553 0.990 1944 2 3.944 1.447 0 0 4.317 1.819 2.735 1.803 1944 3 5.500 -1.827 0 0 5.873 -1.455 5.105 -0.656 1944 4 11.722 -1.253 0 4 11.783 -1.193 10.684 -0.726 1944 5 20.889 3.003 0 0 20.949 3.064 18.913 2.594 1944 6 23.111 1.489 0 0 23.172 1.549 21.410 1.353 1944 7 23.778 0.055 0 0 23.838 0.116 21.732 -0.425 1944 8 23.778 0.496 0 0 23.838 0.557 21.580 -0.136 1944 9 20.111 0.149 0 0 20.172 0.210 18.586 0.191 1944 10 13.444 -0.010 0 0 13.505 0.051 11.717 -0.171 1944 11 6.556 -1.249 0 0 6.616 -1.188 5.887 -0.351 1944 12 -0.611 -3.654 0 0 -0.551 -3.593 -1.379 -2.856 1945 1 -1.111 -2.240 0 0 -1.051 -2.179 -1.515 -1.078 1945 2 3.111 0.613 0 0 3.172 0.674 1.824 0.893 1945 3 12.556 5.228 0 0 12.616 5.289 11.375 5.614 1945 4 14.111 1.136 0 0 14.172 1.196 13.044 1.634 1945 5 15.333 -2.553 0 0 15.394 -2.492 13.907 -2.413 1945 6 21.444 -0.178 0 0 21.505 -0.117 19.485 -0.571 1945 7 23.444 -0.278 0 0 23.505 -0.218 21.730 -0.426 1945 8 23.333 0.052 0 0 23.394 0.112 21.352 -0.363 1945 9 21.889 1.927 0 0 21.949 1.988 20.243 1.847 1945 10 13.056 -0.399 0 0 13.116 -0.338 11.343 -0.546 1945 11 8.000 0.196 0 0 8.061 0.256 7.431 1.193 1945 12 -0.333 -3.376 0 0 -0.273 -3.316 -1.727 -3.203 1946 1 2.889 1.760 0 0 2.949 1.821 0.897 1.334 1946 2 3.889 1.391 0 0 3.949 1.452 2.015 1.084 1946 3 12.167 4.839 0 0 12.227 4.900 10.323 4.562 1946 4 13.778 0.802 0 0 13.838 0.863 12.741 1.332 1946 5 17.111 -0.775 0 0 17.172 -0.714 15.600 -0.720 1946 6 22.000 0.378 0 0 22.061 0.438 19.822 -0.235 1946 7 24.000 0.277 0 0 24.061 0.338 21.945 -0.211 1946 8 21.000 -2.282 0 0 21.061 -2.221 19.138 -2.578 1946 9 19.944 -0.017 0 0 20.005 0.043 18.371 -0.024 1946 10 15.222 1.768 0 0 15.283 1.829 13.185 1.297 1946 11 10.444 2.640 0 0 10.505 2.701 9.561 3.323 1946 12 4.889 1.846 0 0 4.949 1.907 3.358 1.881 1947 1 4.889 3.760 0 0 4.949 3.821 3.340 3.777 1947 2 -2.556 -5.053 0 0 -2.495 -4.993 -4.463 -5.395 1947 3 2.333 -4.994 0 0 2.394 -4.933 0.805 -4.956 1947 4 14.611 1.636 0 0 14.672 1.696 13.466 2.057 1947 5 16.444 -1.441 0 0 16.505 -1.381 15.419 -0.901 1947 6 21.444 -0.178 0 0 21.505 -0.117 19.496 -0.561 1947 7 21.667 -2.056 0 0 21.727 -1.995 19.911 -2.245 1947 8 25.778 2.496 0 0 25.838 2.557 23.653 1.937 1947 9 20.444 0.483 0 0 20.505 0.543 19.057 0.661 1947 10 17.389 3.935 0 0 17.449 3.995 15.065 3.177 1947 11 6.000 -1.804 0 0 6.061 -1.744 5.621 -0.617 1947 12 NaN NaN NaN NaN NaN NaN 1.359 -0.117 1948 1 NaN NaN NaN NaN NaN NaN -4.510 -4.073 1948 2 NaN NaN NaN NaN NaN NaN 2.099 1.168 1948 3 NaN NaN NaN NaN NaN NaN 8.205 2.443 1948 4 NaN NaN NaN NaN NaN NaN 14.080 2.671 1948 5 NaN NaN NaN NaN NaN NaN 15.606 -0.714 1948 6 NaN NaN NaN NaN NaN NaN 20.374 0.317 1948 7 NaN NaN NaN NaN NaN NaN 22.399 0.243 1948 8 NaN NaN NaN NaN NaN NaN 21.279 -0.436 1948 9 NaN NaN NaN NaN NaN NaN 18.428 0.032 1948 10 NaN NaN NaN NaN NaN NaN 10.295 -1.594 1948 11 NaN NaN NaN NaN NaN NaN 8.858 2.620