% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32089 % Primary Name: PIPPAPASS % Record Type: TAVG % Country: United States % State: KY % Latitude: 37.31670 +/- 0.00005 % Longitude: -82.86670 +/- 0.00005 % Elevation (m): 317.00 +/- 0.05 % # of Months: 157 % % Alternate Names: Missing Station ID - 156400 % % IDs: coop - 156400 % ghcnd - USC00156400 % ncdc - 20008262 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 996528d0559ef64f71a28f33b21ce715 % Raw Data Hash: d6a9d48cd9126c06dd83352e96a27b65 % Adj Data Hash: ef29cf98598135c648e0c6f4a9616500 % % 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 1930 7 NaN NaN NaN NaN NaN NaN 25.231 1.330 1930 8 NaN NaN NaN NaN NaN NaN 22.827 -0.566 1930 9 NaN NaN NaN NaN NaN NaN 21.914 1.883 1930 10 NaN NaN NaN NaN NaN NaN 11.561 -1.656 1930 11 NaN NaN NaN NaN NaN NaN 7.293 0.059 1930 12 NaN NaN NaN NaN NaN NaN 0.711 -1.687 1931 1 NaN NaN NaN NaN NaN NaN 1.682 1.371 1931 2 NaN NaN NaN NaN NaN NaN 3.195 1.256 1931 3 NaN NaN NaN NaN NaN NaN 4.320 -2.723 1931 4 NaN NaN NaN NaN NaN NaN 12.096 -0.732 1931 5 NaN NaN NaN NaN NaN NaN 16.081 -1.654 1931 6 NaN NaN NaN NaN NaN NaN 22.175 0.365 1931 7 26.031 1.026 0 0 25.615 0.610 25.358 1.457 1931 8 23.111 -1.386 0 0 22.493 -2.005 22.697 -0.696 1931 9 23.222 2.087 0 0 22.583 1.448 22.898 2.867 1931 10 16.000 1.679 0 0 15.667 1.346 14.667 1.450 1931 11 12.889 4.550 0 0 12.784 4.445 11.789 4.555 1931 12 8.778 5.275 0 0 8.635 5.132 6.813 4.414 1932 1 8.889 7.474 0 0 8.770 7.355 5.989 5.678 1932 2 9.222 6.178 0 0 9.298 6.254 6.441 4.502 1932 3 4.889 -3.259 0 0 4.947 -3.201 3.974 -3.069 1932 4 13.278 -0.655 0 0 12.999 -0.933 12.300 -0.528 1932 5 17.889 -0.950 0 0 17.390 -1.448 17.278 -0.456 1932 6 NaN NaN NaN NaN NaN NaN 22.361 0.551 1932 7 25.333 0.328 0 0 24.917 -0.088 24.104 0.203 1932 8 NaN NaN NaN NaN NaN NaN 23.459 0.067 1932 9 NaN NaN NaN NaN NaN NaN 20.445 0.414 1932 10 NaN NaN NaN NaN NaN NaN 13.030 -0.187 1932 11 NaN NaN NaN NaN NaN NaN 6.255 -0.979 1932 12 5.000 1.497 0 0 4.857 1.354 2.953 0.555 1933 1 6.889 5.474 0 0 6.770 5.355 4.793 4.483 1933 2 4.667 1.623 0 0 4.742 1.698 1.618 -0.321 1933 3 8.333 0.186 0 0 8.391 0.243 6.761 -0.282 1933 4 13.333 -0.599 0 0 13.055 -0.878 12.398 -0.431 1933 5 20.889 2.050 0 0 20.390 1.552 19.448 1.714 1933 6 23.500 0.586 0 0 23.078 0.164 23.196 1.386 1933 7 23.667 -1.339 0 0 23.251 -1.755 23.532 -0.369 1933 8 23.556 -0.942 0 0 22.937 -1.560 22.789 -0.604 1933 9 23.667 2.531 0 0 23.028 1.893 22.762 2.731 1933 10 14.500 0.179 0 0 14.167 -0.154 12.695 -0.522 1933 11 8.222 -0.116 0 0 8.117 -0.221 6.650 -0.584 1933 12 8.611 5.108 0 0 8.468 4.965 5.750 3.352 1934 1 6.000 4.585 0 0 5.881 4.466 3.314 3.003 1934 2 0.056 -2.989 0 0 0.131 -2.913 -2.596 -4.536 1934 3 7.111 -1.036 0 0 7.169 -0.979 5.436 -1.607 1934 4 14.222 0.290 0 0 13.944 0.011 13.063 0.235 1934 5 19.111 0.272 0 0 18.613 -0.226 18.353 0.619 1934 6 24.278 1.363 0 0 23.856 0.941 23.936 2.126 1934 7 26.444 1.439 0 0 26.028 1.023 26.016 2.115 1934 8 23.889 -0.608 0 0 23.270 -1.227 23.380 -0.012 1934 9 21.667 0.531 0 0 21.028 -0.107 20.912 0.882 1934 10 14.778 0.457 0 0 14.445 0.124 13.447 0.230 1934 11 10.889 2.550 0 0 10.784 2.445 9.228 1.994 1934 12 3.222 -0.281 0 0 3.079 -0.424 1.990 -0.409 1935 1 3.778 2.362 0 0 3.659 2.244 1.363 1.052 1935 2 NaN NaN NaN NaN NaN NaN 2.857 0.918 1935 3 13.167 5.019 0 0 13.224 5.077 11.142 4.099 1935 4 13.000 -0.933 0 0 12.722 -1.211 11.979 -0.850 1935 5 18.444 -0.394 0 0 17.946 -0.893 16.334 -1.401 1935 6 NaN NaN NaN NaN NaN NaN 20.700 -1.110 1935 7 NaN NaN NaN NaN NaN NaN 24.950 1.050 1935 8 NaN NaN NaN NaN NaN NaN 23.843 0.450 1935 9 21.444 0.309 0 0 20.806 -0.330 19.927 -0.104 1935 10 15.333 1.012 0 0 15.000 0.679 13.584 0.367 1935 11 10.333 1.995 0 0 10.229 1.890 8.363 1.128 1935 12 0.778 -2.725 0 0 0.635 -2.868 -1.940 -4.338 1936 1 0.944 -0.471 0 0 0.826 -0.590 -2.762 -3.073 1936 2 2.111 -0.933 0 0 2.187 -0.858 -1.247 -3.187 1936 3 10.667 2.519 0 0 10.724 2.577 8.987 1.944 1936 4 12.556 -1.377 0 0 12.277 -1.655 11.085 -1.743 1936 5 19.944 1.106 0 0 19.446 0.607 19.027 1.293 1936 6 23.778 0.863 0 0 23.356 0.441 22.950 1.140 1936 7 25.667 0.661 0 0 25.251 0.245 25.460 1.559 1936 8 26.000 1.503 0 0 25.382 0.884 25.512 2.119 1936 9 23.111 1.976 0 0 22.472 1.337 22.472 2.441 1936 10 15.667 1.346 0 4 15.848 1.527 14.056 0.839 1936 11 7.333 -1.005 0 0 7.390 -0.948 6.011 -1.223 1936 12 4.778 1.275 0 0 4.856 1.353 3.867 1.469 1937 1 9.500 8.085 0 0 9.565 8.149 6.233 5.923 1937 2 4.056 1.011 0 0 4.014 0.970 1.784 -0.156 1937 3 5.500 -2.648 0 0 5.469 -2.679 4.761 -2.282 1937 4 13.000 -0.933 0 0 13.152 -0.781 12.387 -0.441 1937 5 NaN NaN NaN NaN NaN NaN 16.982 -0.752 1937 6 NaN NaN NaN NaN NaN NaN 22.421 0.611 1937 7 23.556 -1.450 0 0 23.782 -1.223 23.227 -0.673 1937 8 24.556 0.058 0 0 24.893 0.396 24.383 0.990 1937 9 20.556 -0.580 0 0 20.904 -0.231 19.032 -0.998 1937 10 13.333 -0.988 0 0 13.515 -0.806 11.814 -1.403 1937 11 7.444 -0.894 0 0 7.502 -0.837 5.488 -1.746 1937 12 2.778 -0.725 0 0 2.856 -0.647 0.925 -1.473 1938 1 3.778 2.362 0 0 3.843 2.427 1.060 0.749 1938 2 NaN NaN NaN NaN NaN NaN 5.641 3.701 1938 3 13.889 5.741 0 0 13.857 5.710 10.716 3.673 1938 4 16.000 2.067 0 0 16.152 2.219 14.246 1.418 1938 5 18.667 -0.172 0 0 18.939 0.100 17.621 -0.113 1938 6 22.222 -0.692 0 0 22.452 -0.462 20.860 -0.950 1938 7 25.667 0.661 0 0 25.894 0.888 24.084 0.183 1938 8 26.444 1.947 0 0 26.782 2.285 24.337 0.944 1938 9 NaN NaN NaN NaN NaN NaN 20.619 0.588 1938 10 15.722 1.401 0 0 15.904 1.583 13.977 0.760 1938 11 NaN NaN NaN NaN NaN NaN 8.329 1.095 1938 12 NaN NaN NaN NaN NaN NaN 2.089 -0.309 1939 1 5.111 3.696 0 0 5.176 3.761 2.749 2.438 1939 2 NaN NaN NaN NaN NaN NaN 4.098 2.158 1939 3 NaN NaN NaN NaN NaN NaN 8.509 1.466 1939 4 NaN NaN NaN NaN NaN NaN 11.331 -1.497 1939 5 18.556 -0.283 0 0 18.827 -0.011 18.230 0.496 1939 6 23.778 0.863 0 0 24.008 1.093 23.459 1.649 1939 7 23.111 -1.894 0 0 23.338 -1.667 23.618 -0.283 1939 8 22.333 -2.164 0 0 22.671 -1.827 23.264 -0.129 1939 9 21.667 0.531 0 0 22.015 0.880 22.497 2.466 1939 10 NaN NaN NaN NaN NaN NaN 14.792 1.575 1939 11 NaN NaN NaN NaN NaN NaN 5.891 -1.343 1939 12 NaN NaN NaN NaN NaN NaN 3.017 0.619 1940 1 NaN NaN NaN NaN NaN NaN -6.480 -6.791 1940 2 NaN NaN NaN NaN NaN NaN 0.921 -1.018 1940 3 NaN NaN NaN NaN NaN NaN 5.643 -1.400 1940 4 11.778 -2.155 0 0 11.930 -2.003 11.425 -1.403 1940 5 15.138 -3.701 0 0 15.410 -3.429 15.838 -1.896 1940 6 21.111 -1.804 1 0 NaN NaN 22.063 0.253 1940 7 18.140 -6.865 1 0 NaN NaN 23.389 -0.511 1940 8 21.387 -3.110 1 0 NaN NaN 23.389 -0.004 1940 9 NaN NaN NaN NaN NaN NaN 18.573 -1.457 1940 10 NaN NaN NaN NaN NaN NaN 13.904 0.687 1940 11 8.889 0.550 0 0 8.946 0.607 7.331 0.097 1940 12 7.111 3.608 0 0 7.189 3.686 5.376 2.977 1941 1 3.000 1.585 0 0 3.065 1.649 1.014 0.703 1941 2 1.444 -1.600 0 0 1.403 -1.641 -1.045 -2.985 1941 3 4.444 -3.703 0 0 4.413 -3.735 3.430 -3.613 1941 4 16.000 2.067 0 0 16.152 2.219 14.755 1.927 1941 5 18.278 -0.561 0 0 18.550 -0.289 18.298 0.564 1941 6 22.889 -0.026 0 0 23.119 0.205 22.541 0.731 1941 7 25.333 0.328 0 0 25.560 0.555 24.656 0.756 1941 8 25.278 0.781 0 0 25.615 1.118 23.693 0.300 1941 9 21.667 0.531 0 0 22.015 0.880 22.006 1.976 1941 10 17.500 3.179 0 0 17.682 3.361 16.496 3.279 1941 11 8.056 -0.283 0 0 8.113 -0.226 7.441 0.207 1941 12 6.889 3.386 0 0 6.967 3.464 5.051 2.653 1942 1 1.722 0.307 0 0 1.787 0.372 -0.799 -1.110 1942 2 1.278 -1.766 0 0 1.237 -1.808 -0.930 -2.869 1942 3 9.556 1.408 0 0 9.524 1.377 8.270 1.227 1942 4 14.722 0.790 0 0 14.874 0.941 13.885 1.057 1942 5 19.111 0.272 0 0 19.383 0.544 17.654 -0.080 1942 6 24.167 1.252 0 0 24.397 1.482 22.926 1.116 1942 7 24.944 -0.061 0 0 25.171 0.166 24.318 0.418 1942 8 23.444 -1.053 0 0 23.782 -0.715 22.829 -0.564 1942 9 19.444 -1.691 0 0 19.793 -1.342 19.696 -0.335 1942 10 14.111 -0.210 0 0 14.293 -0.028 13.747 0.530 1942 11 10.333 1.995 0 0 10.390 2.052 8.876 1.641 1942 12 3.333 -0.169 0 0 3.411 -0.091 1.515 -0.883 1943 1 3.889 2.474 0 0 3.954 2.538 2.383 2.072 1943 2 4.444 1.400 0 0 4.403 1.359 2.554 0.614 1943 3 6.778 -1.370 0 0 6.746 -1.401 5.516 -1.528 1943 4 11.111 -2.822 0 0 11.263 -2.670 11.139 -1.689 1943 5 18.444 -0.394 0 0 18.716 -0.122 18.494 0.760 1943 6 24.667 1.752 0 0 24.897 1.982 24.618 2.808 1943 7 24.000 -1.005 0 0 24.227 -0.778 24.244 0.344 1943 8 23.889 -0.608 0 0 24.226 -0.271 24.192 0.799 1943 9 17.333 -3.802 0 0 17.682 -3.453 18.688 -1.343 1943 10 11.778 -2.543 0 0 11.959 -2.362 12.226 -0.990 1943 11 6.778 -1.561 0 0 6.835 -1.504 6.196 -1.038 1943 12 1.833 -1.669 0 0 1.911 -1.591 0.900 -1.499 1944 1 NaN NaN NaN NaN NaN NaN 1.296 0.985 1944 2 NaN NaN NaN NaN NaN NaN 4.043 2.103 1944 3 NaN NaN NaN NaN NaN NaN 6.487 -0.556 1944 4 12.667 -1.266 0 0 12.818 -1.114 12.228 -0.600 1944 5 20.833 1.995 0 0 21.105 2.267 20.224 2.490 1944 6 24.111 1.197 0 0 24.341 1.427 23.694 1.884 1944 7 23.889 -1.116 0 0 24.116 -0.889 23.675 -0.225 1944 8 23.778 -0.719 0 0 24.115 -0.382 23.350 -0.042 1944 9 19.778 -1.357 0 0 20.126 -1.009 19.922 -0.109 1944 10 13.889 -0.432 0 0 14.071 -0.251 12.896 -0.320 1944 11 7.889 -0.450 0 0 7.946 -0.393 7.015 -0.219 1944 12 NaN NaN NaN NaN NaN NaN -0.234 -2.633 1945 1 1.917 0.501 1 0 NaN NaN -1.476 -1.787 1945 2 6.111 3.067 0 0 6.070 3.026 2.766 0.826 1945 3 15.556 7.408 0 0 15.524 7.377 12.735 5.692 1945 4 NaN NaN NaN NaN NaN NaN 14.267 1.438 1945 5 17.000 -1.839 0 0 17.272 -1.567 15.412 -2.323 1945 6 21.833 -1.081 0 0 22.063 -0.851 21.067 -0.743 1945 7 23.667 -1.339 0 0 23.894 -1.112 23.096 -0.804 1945 8 23.222 -1.275 0 0 23.560 -0.938 23.015 -0.378 1945 9 21.889 0.754 0 0 22.237 1.102 21.968 1.937 1945 10 14.278 -0.043 0 0 14.459 0.138 12.643 -0.574 1945 11 9.556 1.217 0 0 9.613 1.274 8.436 1.201 1945 12 1.556 -1.947 0 0 1.634 -1.869 -0.610 -3.008 1946 1 4.167 2.751 0 0 4.231 2.816 1.631 1.320 1946 2 6.333 3.289 0 0 6.292 3.248 3.137 1.197 1946 3 NaN NaN NaN NaN NaN NaN 12.117 5.074 1946 4 15.667 1.734 0 0 15.818 1.886 14.399 1.571 1946 5 18.222 -0.616 0 0 18.494 -0.345 16.889 -0.845 1946 6 22.167 -0.748 0 0 22.397 -0.518 21.606 -0.204 1946 7 24.000 -1.005 0 0 24.227 -0.778 23.482 -0.419 1946 8 20.667 -3.831 0 0 21.004 -3.493 20.477 -2.916 1946 9 19.222 -1.913 0 0 19.571 -1.565 19.672 -0.359 1946 10 14.889 0.568 0 0 15.071 0.749 14.258 1.041 1946 11 NaN NaN NaN NaN NaN NaN 10.319 3.085 1946 12 NaN NaN NaN NaN NaN NaN 4.726 2.328 1947 1 NaN NaN NaN NaN NaN NaN 3.928 3.617 1947 2 NaN NaN NaN NaN NaN NaN -3.297 -5.237 1947 3 NaN NaN NaN NaN NaN NaN 2.390 -4.653 1947 4 14.556 0.623 0 0 14.707 0.775 14.400 1.572 1947 5 13.944 -4.894 0 0 14.216 -4.622 16.244 -1.491 1947 6 18.222 -4.692 0 0 18.452 -4.462 21.376 -0.434 1947 7 21.000 -4.005 0 0 21.227 -3.778 21.167 -2.734 1947 8 23.667 -0.831 0 0 24.004 -0.493 25.233 1.840 1947 9 NaN NaN NaN NaN NaN NaN 20.759 0.728 1947 10 NaN NaN NaN NaN NaN NaN 16.585 3.369 1947 11 NaN NaN NaN NaN NaN NaN 6.617 -0.618 1947 12 NaN NaN NaN NaN NaN NaN 2.324 -0.074 1948 1 NaN NaN NaN NaN NaN NaN -4.125 -4.436 1948 2 NaN NaN NaN NaN NaN NaN 2.981 1.042 1948 3 NaN NaN NaN NaN NaN NaN 9.634 2.591 1948 4 NaN NaN NaN NaN NaN NaN 15.431 2.603 1948 5 NaN NaN NaN NaN NaN NaN 16.791 -0.943 1948 6 NaN NaN NaN NaN NaN NaN 22.136 0.326 1948 7 NaN NaN NaN NaN NaN NaN 24.339 0.438 1948 8 NaN NaN NaN NaN NaN NaN 22.861 -0.532