% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 167558 % Primary Name: WRIGHT PATTERSON AFB % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.78330 +/- 0.00005 % Longitude: -84.10000 +/- 0.00005 % Elevation (m): 245.05 +/- 0.05 % # of Months: 107 % % Alternate Names: WRIGHT PATTERSON AAF % WRIGHT PATTERSON/AFB % % IDs: faa - DWF % ghcnd - USW00013813 % ghcnm - 42574570001 % ncdc - 20015292 % wban - 13813 % % Sources: US First Order Summary of the Day % Global Historical Climatology Network - Daily % Global Historical Climatology Network - Monthly v2 % Global Historical Climatology Network - Monthly v3 % Multi-network Metadata System % % Site Hash: ac4a47c4a2dfec993eb6c71a9c9d0bc0 % Raw Data Hash: 1dcfd3bdb67620b5435e3413f352aee3 % Adj Data Hash: 1dcfd3bdb67620b5435e3413f352aee3 % % 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 1952 6 NaN NaN NaN NaN NaN NaN 24.140 2.603 1952 7 NaN NaN NaN NaN NaN NaN 24.889 1.367 1952 8 NaN NaN NaN NaN NaN NaN 22.621 -0.137 1952 9 NaN NaN NaN NaN NaN NaN 18.938 -0.285 1952 10 NaN NaN NaN NaN NaN NaN 9.704 -2.765 1952 11 NaN NaN NaN NaN NaN NaN 6.962 0.775 1952 12 NaN NaN NaN NaN NaN NaN 2.091 1.434 1953 1 NaN NaN NaN NaN NaN NaN 1.801 3.662 1953 2 NaN NaN NaN NaN NaN NaN 1.960 2.211 1953 3 NaN NaN NaN NaN NaN NaN 6.641 1.428 1953 4 NaN NaN NaN NaN NaN NaN 9.810 -1.604 1953 5 NaN NaN NaN NaN NaN NaN 18.791 1.834 1953 6 24.037 1.982 0 0 24.037 1.982 23.307 1.770 1953 7 24.892 0.852 0 0 24.892 0.852 24.020 0.498 1953 8 24.048 0.772 0 0 24.048 0.772 23.030 0.272 1953 9 20.223 0.482 0 0 20.223 0.482 19.736 0.513 1953 10 15.226 2.239 0 0 15.226 2.239 14.175 1.707 1953 11 7.473 0.769 0 0 7.473 0.769 6.811 0.624 1953 12 1.900 0.725 0 0 1.900 0.725 1.385 0.727 1954 1 1.011 2.354 0 0 1.011 2.354 0.054 1.915 1954 2 4.898 4.632 0 0 4.898 4.632 3.982 4.233 1954 3 3.895 -1.835 0 0 3.895 -1.835 4.178 -1.034 1954 4 14.725 2.793 0 0 14.725 2.793 14.880 3.465 1954 5 NaN NaN NaN NaN NaN NaN 14.232 -2.725 1954 6 23.585 1.531 0 0 23.585 1.531 22.741 1.205 1954 7 24.929 0.890 0 0 24.929 0.890 23.733 0.211 1954 8 23.244 -0.032 0 0 23.244 -0.032 22.509 -0.249 1954 9 21.728 1.987 0 0 21.728 1.987 21.031 1.808 1954 10 NaN NaN NaN NaN NaN NaN 13.819 1.350 1954 11 6.642 -0.063 0 0 6.642 -0.063 6.142 -0.045 1954 12 1.013 -0.162 0 0 1.013 -0.162 0.506 -0.151 1955 1 -0.992 0.351 0 0 -0.992 0.351 -1.861 -0.001 1955 2 1.182 0.915 0 0 1.182 0.915 0.155 0.406 1955 3 6.058 0.328 0 0 6.058 0.328 6.286 1.073 1955 4 14.637 2.704 0 0 14.637 2.704 14.312 2.897 1955 5 18.510 1.035 0 0 18.510 1.035 17.837 0.880 1955 6 20.233 -1.821 0 0 20.233 -1.821 19.365 -2.172 1955 7 26.616 2.577 0 0 26.616 2.577 25.343 1.822 1955 8 25.727 2.452 0 0 25.727 2.452 24.684 1.926 1955 9 21.315 1.574 0 0 21.315 1.574 20.938 1.715 1955 10 13.765 0.778 0 0 13.765 0.778 12.790 0.321 1955 11 4.717 -1.988 0 0 4.717 -1.988 5.062 -1.125 1955 12 -0.584 -1.759 0 0 -0.584 -1.759 -0.760 -1.417 1956 1 -2.235 -0.893 0 0 -2.235 -0.893 -2.863 -1.002 1956 2 2.100 1.833 0 0 2.100 1.833 1.950 2.201 1956 3 4.819 -0.911 0 0 4.819 -0.911 5.080 -0.132 1956 4 9.820 -2.112 0 0 9.820 -2.112 10.005 -1.409 1956 5 17.240 -0.234 0 0 17.240 -0.234 16.765 -0.192 1956 6 22.697 0.642 0 0 22.697 0.642 21.635 0.098 1956 7 23.769 -0.270 0 0 23.769 -0.270 22.927 -0.594 1956 8 23.689 0.413 0 0 23.689 0.413 22.480 -0.278 1956 9 18.493 -1.248 0 0 18.493 -1.248 17.839 -1.384 1956 10 15.981 2.994 0 0 15.981 2.994 14.698 2.229 1956 11 6.368 -0.336 0 0 6.368 -0.336 6.597 0.410 1956 12 5.008 3.833 0 0 5.008 3.833 5.328 4.670 1957 1 -3.053 -1.710 0 0 -3.053 -1.710 -3.312 -1.451 1957 2 2.912 2.646 0 0 2.912 2.646 2.487 2.738 1957 3 5.285 -0.445 0 0 5.285 -0.445 5.343 0.130 1957 4 12.760 0.828 0 0 12.760 0.828 12.980 1.566 1957 5 17.602 0.127 0 0 17.602 0.127 17.285 0.328 1957 6 23.018 0.964 0 0 23.018 0.964 22.477 0.940 1957 7 24.997 0.957 0 0 24.997 0.957 23.688 0.166 1957 8 24.097 0.821 0 0 24.097 0.821 22.563 -0.195 1957 9 19.837 0.096 0 0 19.837 0.096 19.823 0.599 1957 10 11.729 -1.258 0 0 11.729 -1.258 10.699 -1.770 1957 11 6.485 -0.220 0 0 6.485 -0.220 6.787 0.600 1957 12 3.277 2.102 0 0 3.277 2.102 2.983 2.326 1958 1 -1.906 -0.564 0 0 -1.906 -0.564 -2.462 -0.601 1958 2 -3.730 -3.997 0 0 -3.730 -3.997 -4.437 -4.186 1958 3 3.235 -2.495 0 0 3.235 -2.495 3.409 -1.804 1958 4 11.700 -0.232 0 0 11.700 -0.232 11.829 0.415 1958 5 17.231 -0.244 0 0 17.231 -0.244 16.254 -0.703 1958 6 20.140 -1.914 0 0 20.140 -1.914 19.709 -1.828 1958 7 23.773 -0.267 0 0 23.773 -0.267 23.297 -0.224 1958 8 23.023 -0.253 0 0 23.023 -0.253 22.006 -0.752 1958 9 19.612 -0.129 0 0 19.612 -0.129 19.322 0.098 1958 10 13.663 0.676 0 0 13.663 0.676 12.309 -0.160 1958 11 7.603 0.899 0 0 7.603 0.899 7.718 1.531 1958 12 -3.784 -4.959 0 0 -3.784 -4.959 -3.951 -4.608 1959 1 -2.416 -1.073 0 0 -2.416 -1.073 -2.822 -0.961 1959 2 1.205 0.939 0 0 1.205 0.939 0.953 1.204 1959 3 4.645 -1.085 0 0 4.645 -1.085 4.603 -0.609 1959 4 12.188 0.256 0 0 12.188 0.256 12.277 0.862 1959 5 19.776 2.301 0 0 19.776 2.301 19.362 2.405 1959 6 23.047 0.992 0 0 23.047 0.992 21.829 0.292 1959 7 24.858 0.819 0 0 24.858 0.819 23.703 0.182 1959 8 25.879 2.603 0 0 25.879 2.603 24.696 1.938 1959 9 21.475 1.734 0 0 21.475 1.734 21.094 1.871 1959 10 13.348 0.362 0 0 13.348 0.362 13.065 0.597 1959 11 4.422 -2.283 0 0 4.422 -2.283 5.188 -0.999 1959 12 2.921 1.746 0 0 2.921 1.746 2.782 2.125 1960 1 0.945 2.288 0 0 0.945 2.288 0.410 2.270 1960 2 -0.971 -1.237 0 0 -0.971 -1.237 -1.688 -1.437 1960 3 -1.687 -7.417 0 0 -1.687 -7.417 -1.743 -6.956 1960 4 13.737 1.804 0 0 13.737 1.804 13.738 2.324 1960 5 15.798 -1.676 0 0 15.798 -1.676 15.204 -1.753 1960 6 21.583 -0.471 0 0 21.583 -0.471 21.033 -0.503 1960 7 23.405 -0.635 0 0 23.405 -0.635 22.145 -1.377 1960 8 24.945 1.669 0 0 24.945 1.669 23.685 0.927 1960 9 21.640 1.899 0 0 21.640 1.899 20.835 1.611 1960 10 13.965 0.978 0 0 13.965 0.978 13.057 0.588 1960 11 7.298 0.594 0 0 7.298 0.594 7.228 1.041 1960 12 -2.360 -3.535 0 0 -2.360 -3.535 -3.187 -3.844 1961 1 -3.553 -2.210 0 0 -3.553 -2.210 -4.622 -2.761 1961 2 3.070 2.803 0 0 3.070 2.803 2.260 2.511 1961 3 7.482 1.752 0 0 7.482 1.752 7.557 2.344 1961 4 8.470 -3.462 0 0 8.470 -3.462 8.394 -3.021 1961 5 14.768 -2.707 0 0 14.768 -2.707 14.134 -2.823 1961 6 20.820 -1.234 0 0 20.820 -1.234 20.076 -1.461 1961 7 24.087 0.048 0 0 24.087 0.048 22.935 -0.587 1961 8 23.553 0.277 0 0 23.553 0.277 22.670 -0.088 1961 9 22.043 2.302 0 0 22.043 2.302 21.663 2.440 1961 10 14.229 1.242 0 0 14.229 1.242 13.508 1.039 1961 11 6.723 0.019 0 0 6.723 0.019 6.909 0.722 1961 12 -0.216 -1.391 0 0 -0.216 -1.391 0.258 -0.399 1962 1 -2.645 -1.302 0 0 -2.645 -1.302 -3.004 -1.143 1962 2 -0.138 -0.404 0 0 -0.138 -0.404 -0.333 -0.082 1962 3 3.926 -1.804 0 0 3.926 -1.804 4.050 -1.163 1962 4 11.425 -0.507 0 0 11.425 -0.507 10.512 -0.903 1962 5 21.068 3.593 0 0 21.068 3.593 20.162 3.205 1962 6 22.943 0.889 0 0 22.943 0.889 22.019 0.483 1962 7 NaN NaN NaN NaN NaN NaN 22.566 -0.956 1962 8 NaN NaN NaN NaN NaN NaN 22.721 -0.037 1962 9 NaN NaN NaN NaN NaN NaN 17.554 -1.669 1962 10 NaN NaN NaN NaN NaN NaN 13.561 1.093 1962 11 NaN NaN NaN NaN NaN NaN 6.026 -0.161 1962 12 NaN NaN NaN NaN NaN NaN -2.475 -3.132 1963 1 NaN NaN NaN NaN NaN NaN -5.551 -3.691 1963 2 NaN NaN NaN NaN NaN NaN -4.620 -4.369 1963 3 NaN NaN NaN NaN NaN NaN 7.298 2.086 1963 4 NaN NaN NaN NaN NaN NaN 12.007 0.593 1963 5 NaN NaN NaN NaN NaN NaN 15.562 -1.395 1963 6 NaN NaN NaN NaN NaN NaN 21.382 -0.154