% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35938 % Primary Name: NEFFS MILLS 3 NE % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.66670 +/- 0.00005 % Longitude: -77.91670 +/- 0.00005 % Elevation (m): 274.90 +/- 0.05 % # of Months: 154 % % Alternate Names: NEFFS MILLS 4 NE % % IDs: coop - 366174 % ghcnd - USC00366174 % ncdc - 20016848 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 029a4caeb481ac059465e94e3a3a5b32 % Raw Data Hash: 9a19bd25c1649156fc096dc788d933a5 % Adj Data Hash: bd17397ea31212c82b9c5ba610faeed9 % % 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 1940 6 NaN NaN NaN NaN NaN NaN 18.143 -0.262 1940 7 NaN NaN NaN NaN NaN NaN 20.249 -0.297 1940 8 NaN NaN NaN NaN NaN NaN 18.665 -1.164 1940 9 NaN NaN NaN NaN NaN NaN 14.651 -1.482 1940 10 NaN NaN NaN NaN NaN NaN 8.333 -1.415 1940 11 NaN NaN NaN NaN NaN NaN 3.839 -0.106 1940 12 NaN NaN NaN NaN NaN NaN 0.213 2.371 1941 1 NaN NaN NaN NaN NaN NaN -4.657 0.003 1941 2 NaN NaN NaN NaN NaN NaN -5.905 -2.217 1941 3 NaN NaN NaN NaN NaN NaN -2.064 -3.597 1941 4 NaN NaN NaN NaN NaN NaN 11.265 3.190 1941 5 NaN NaN NaN NaN NaN NaN 13.983 0.208 1941 6 22.650 3.505 1 0 NaN NaN 18.670 0.265 1941 7 22.437 1.151 0 0 21.866 0.580 21.069 0.522 1941 8 19.570 -0.999 0 0 18.999 -1.570 18.378 -1.452 1941 9 18.667 1.793 0 0 18.096 1.222 17.257 1.123 1941 10 12.921 2.433 0 0 12.350 1.862 11.929 2.181 1941 11 5.463 0.778 0 0 4.892 0.207 5.474 1.529 1941 12 0.484 1.902 0 0 -0.087 1.331 0.074 2.232 1942 1 -4.185 -0.265 0 0 -4.756 -0.836 -4.647 0.013 1942 2 -2.798 0.150 0 0 -3.369 -0.421 -5.973 -2.285 1942 3 4.695 2.422 0 0 4.124 1.851 2.907 1.374 1942 4 11.722 2.907 0 0 11.151 2.336 10.541 2.466 1942 5 17.258 2.743 0 0 16.687 2.172 15.125 1.350 1942 6 23.092 3.947 0 0 22.521 3.376 18.989 0.584 1942 7 22.667 1.381 0 0 22.096 0.809 20.554 0.008 1942 8 20.520 -0.049 0 0 19.949 -0.620 19.273 -0.557 1942 9 17.259 0.386 0 0 16.688 -0.185 16.254 0.120 1942 10 12.527 2.039 0 0 11.956 1.468 10.771 1.023 1942 11 5.630 0.945 0 0 5.059 0.374 4.444 0.499 1942 12 -2.670 -1.252 0 0 -3.241 -1.823 -4.608 -2.450 1943 1 -1.935 1.985 0 0 -2.507 1.414 -4.166 0.494 1943 2 -1.369 1.579 0 0 -1.940 1.008 -3.473 0.215 1943 3 3.423 1.150 0 0 2.852 0.579 1.410 -0.123 1943 4 6.463 -2.352 0 0 5.892 -2.923 4.709 -3.365 1943 5 16.667 2.152 0 0 16.096 1.581 14.091 0.316 1943 6 22.685 3.540 0 0 22.114 2.969 21.277 2.872 1943 7 21.900 0.613 0 0 21.329 0.042 20.877 0.330 1943 8 21.000 0.431 0 0 20.429 -0.140 19.807 -0.022 1943 9 15.778 -1.096 0 0 15.207 -1.667 15.133 -1.001 1943 10 9.964 -0.524 0 0 9.393 -1.095 8.600 -1.148 1943 11 2.944 -1.740 0 0 2.373 -2.311 2.642 -1.303 1943 12 -2.294 -0.876 0 0 -2.865 -1.447 -3.927 -1.770 1944 1 -1.326 2.594 0 0 -1.897 2.023 -2.366 2.294 1944 2 -1.092 1.856 0 0 -1.663 1.285 -3.372 0.316 1944 3 1.649 -0.624 0 0 1.078 -1.195 0.200 -1.333 1944 4 7.815 -1.000 0 0 7.244 -1.571 6.495 -1.580 1944 5 18.444 3.930 0 0 17.873 3.359 17.537 3.762 1944 6 19.556 0.411 0 0 18.985 -0.160 19.531 1.126 1944 7 20.824 -0.462 0 0 20.253 -1.033 20.620 0.074 1944 8 20.681 0.112 0 0 20.110 -0.459 20.479 0.650 1944 9 16.056 -0.818 0 0 15.485 -1.389 16.127 -0.006 1944 10 9.642 -0.846 0 0 9.071 -1.417 9.115 -0.633 1944 11 5.278 0.593 0 0 4.707 0.022 4.989 1.044 1944 12 -3.530 -2.113 0 0 -4.102 -2.684 -5.149 -2.992 1945 1 -7.348 -3.427 0 4 -7.263 -3.343 -8.386 -3.725 1945 2 -2.262 0.686 0 0 -2.177 0.771 -3.489 0.198 1945 3 8.513 6.240 0 0 8.597 6.324 7.702 6.169 1945 4 10.870 2.056 0 0 10.955 2.140 10.404 2.329 1945 5 12.527 -1.988 0 0 12.611 -1.903 11.434 -2.341 1945 6 18.407 -0.738 0 0 18.492 -0.653 17.701 -0.704 1945 7 21.201 -0.085 0 0 21.285 -0.001 20.463 -0.084 1945 8 19.606 -0.963 0 0 19.690 -0.879 19.540 -0.289 1945 9 17.963 1.089 0 0 18.048 1.174 17.695 1.561 1945 10 9.785 -0.703 0 0 9.869 -0.618 9.174 -0.574 1945 11 4.685 0.000 0 0 4.770 0.085 4.680 0.736 1945 12 -4.391 -2.973 0 0 -4.306 -2.888 -5.457 -3.299 1946 1 -3.082 0.838 0 0 -2.998 0.923 -3.446 1.214 1946 2 -2.083 0.865 0 0 -1.999 0.949 -3.232 0.456 1946 3 6.864 4.591 0 0 6.948 4.675 7.454 5.921 1946 4 8.611 -0.204 0 0 8.696 -0.119 7.771 -0.304 1946 5 14.373 -0.142 0 0 14.457 -0.058 13.126 -0.649 1946 6 17.296 -1.849 0 0 17.381 -1.764 17.406 -0.999 1946 7 21.130 -0.157 0 0 21.214 -0.072 20.149 -0.397 1946 8 18.262 -2.307 0 0 18.346 -2.223 17.442 -2.388 1946 9 16.278 -0.596 0 0 16.362 -0.511 16.810 0.676 1946 10 12.384 1.896 0 0 12.468 1.980 12.029 2.281 1946 11 5.796 1.112 0 0 5.881 1.196 6.341 2.396 1946 12 -0.179 1.239 0 0 -0.095 1.323 -0.750 1.408 1947 1 0.108 4.028 0 0 0.192 4.113 -0.741 3.919 1947 2 -4.444 -1.496 0 0 -4.360 -1.412 -7.154 -3.466 1947 3 -0.556 -2.829 0 0 -0.471 -2.744 -1.745 -3.278 1947 4 9.556 0.741 0 0 9.640 0.825 8.740 0.665 1947 5 14.498 -0.017 0 0 14.583 0.068 12.666 -1.109 1947 6 18.611 -0.534 0 0 18.696 -0.449 17.663 -0.742 1947 7 19.892 -1.394 0 0 19.977 -1.309 19.282 -1.265 1947 8 22.455 1.886 0 0 22.540 1.971 22.600 2.771 1947 9 17.093 0.219 0 0 17.177 0.304 16.912 0.778 1947 10 13.405 2.917 0 0 13.490 3.002 13.623 3.875 1947 11 3.000 -1.685 0 0 3.085 -1.600 2.674 -1.271 1947 12 -3.500 -2.082 0 0 -3.415 -1.998 -2.906 -0.749 1948 1 NaN NaN NaN NaN NaN NaN -8.544 -3.883 1948 2 -0.683 2.265 1 0 NaN NaN -4.016 -0.328 1948 3 3.912 1.639 1 0 NaN NaN 3.406 1.873 1948 4 9.972 1.157 0 0 10.056 1.241 10.047 1.972 1948 5 14.444 -0.070 0 0 14.529 0.014 12.948 -0.827 1948 6 NaN NaN NaN NaN NaN NaN 18.152 -0.253 1948 7 21.333 0.047 0 0 21.418 0.132 20.620 0.073 1948 8 20.444 -0.125 0 0 20.529 -0.040 19.589 -0.240 1948 9 16.667 -0.207 0 0 16.751 -0.122 16.511 0.377 1948 10 NaN NaN NaN NaN NaN NaN 8.589 -1.159 1948 11 6.778 2.093 0 0 6.862 2.178 6.788 2.843 1948 12 -0.944 0.473 0 0 -0.860 0.558 -1.478 0.680 1949 1 1.778 5.698 0 0 1.862 5.783 0.027 4.687 1949 2 0.278 3.226 0 0 0.362 3.310 -0.262 3.426 1949 3 3.111 0.838 0 0 3.196 0.923 2.155 0.622 1949 4 8.611 -0.204 0 0 8.696 -0.119 7.652 -0.423 1949 5 14.611 0.096 0 0 14.696 0.181 14.134 0.359 1949 6 21.000 1.855 0 0 21.085 1.940 20.227 1.822 1949 7 23.222 1.936 0 0 23.307 2.021 22.551 2.005 1949 8 21.111 0.542 0 0 21.196 0.627 20.358 0.529 1949 9 14.722 -2.151 0 0 14.807 -2.067 13.963 -2.171 1949 10 13.333 2.846 0 0 13.418 2.930 12.469 2.721 1949 11 4.111 -0.574 0 0 4.196 -0.489 4.004 0.059 1949 12 -0.833 0.584 0 4 -0.480 0.938 -0.898 1.259 1950 1 1.667 5.587 0 0 2.020 5.940 1.791 6.451 1950 2 -2.167 0.781 0 0 -1.814 1.134 -3.307 0.380 1950 3 -0.722 -2.995 0 0 -0.369 -2.642 -1.051 -2.584 1950 4 5.889 -2.926 0 0 6.242 -2.573 5.583 -2.492 1950 5 14.444 -0.070 0 0 14.798 0.283 13.885 0.110 1950 6 18.222 -0.923 0 0 18.575 -0.570 17.711 -0.694 1950 7 19.333 -1.953 0 0 19.686 -1.600 18.890 -1.656 1950 8 19.167 -1.402 0 0 19.520 -1.049 19.008 -0.821 1950 9 15.278 -1.596 0 0 15.631 -1.243 15.003 -1.131 1950 10 11.278 0.790 0 0 11.631 1.143 11.281 1.533 1950 11 4.222 -0.463 0 0 4.575 -0.109 3.230 -0.715 1950 12 -4.556 -3.138 0 0 -4.202 -2.785 -5.032 -2.874 1951 1 -2.278 1.643 0 0 -1.925 1.996 -2.692 1.968 1951 2 -1.278 1.670 0 0 -0.925 2.023 -2.553 1.135 1951 3 2.500 0.227 0 0 2.853 0.580 2.073 0.540 1951 4 8.167 -0.648 0 0 8.520 -0.295 7.802 -0.273 1951 5 14.278 -0.237 0 0 14.631 0.116 14.067 0.292 1951 6 19.000 -0.145 0 0 19.353 0.208 18.523 0.118 1951 7 21.000 -0.286 0 0 21.353 0.067 20.451 -0.096 1951 8 19.389 -1.180 0 0 19.742 -0.827 19.264 -0.566 1951 9 15.833 -1.040 0 0 16.186 -0.687 15.829 -0.305 1951 10 10.778 0.290 0 0 11.131 0.643 11.317 1.569 1951 11 1.222 -3.463 0 0 1.575 -3.109 1.102 -2.843 1951 12 -1.778 -0.360 0 0 -1.425 -0.007 -2.067 0.091 1952 1 -1.000 2.921 0 0 -0.647 3.274 -1.761 2.899 1952 2 -0.167 2.781 0 0 0.186 3.134 -1.666 2.022 1952 3 1.778 -0.495 0 0 2.131 -0.142 1.203 -0.330 1952 4 9.444 0.630 0 0 9.798 0.983 9.158 1.083 1952 5 13.167 -1.348 0 0 13.520 -0.995 12.160 -1.615 1952 6 19.944 0.800 0 0 20.298 1.153 19.719 1.314 1952 7 22.833 1.547 0 0 23.186 1.900 22.190 1.644 1952 8 20.944 0.375 0 0 21.298 0.728 19.975 0.146 1952 9 15.667 -1.207 0 0 16.020 -0.854 16.245 0.111 1952 10 8.000 -2.488 0 0 8.353 -2.135 7.408 -2.340 1952 11 5.056 0.371 0 0 5.409 0.724 5.574 1.629 1952 12 -0.278 1.140 0 0 0.075 1.493 -1.081 1.076 1953 1 -0.056 3.865 0 0 0.298 4.218 -0.840 3.820 1953 2 0.222 3.170 0 0 0.575 3.523 -1.159 2.528 1953 3 3.444 1.171 0 0 3.798 1.524 3.065 1.532 1953 4 8.222 -0.593 0 0 8.575 -0.239 7.231 -0.844 1953 5 16.222 1.707 0 0 16.575 2.060 15.458 1.683 1953 6 18.778 -0.367 0 0 19.131 -0.014 19.083 0.678 1953 7 20.944 -0.342 0 0 21.298 0.011 20.664 0.117 1953 8 19.722 -0.847 0 0 20.075 -0.494 19.807 -0.022 1953 9 15.889 -0.985 0 0 16.242 -0.632 16.263 0.129 1953 10 11.333 0.846 0 0 11.686 1.199 10.927 1.179 1953 11 4.500 -0.185 0 0 4.853 0.168 5.301 1.356 1953 12 0.500 1.918 0 0 0.853 2.271 -0.201 1.957 1954 1 -3.611 0.309 0 0 -3.258 0.662 -4.045 0.616 1954 2 1.111 4.059 0 0 1.464 4.412 -0.146 3.542 1954 3 2.333 0.060 0 0 2.686 0.413 1.234 -0.299 1954 4 10.556 1.741 0 0 10.909 2.094 11.000 2.925 1954 5 12.556 -1.959 0 0 12.909 -1.606 11.716 -2.059 1954 6 19.278 0.133 0 0 19.631 0.486 18.898 0.493 1954 7 NaN NaN NaN NaN NaN NaN 19.824 -0.723 1954 8 NaN NaN NaN NaN NaN NaN 19.018 -0.811 1954 9 NaN NaN NaN NaN NaN NaN 16.914 0.781 1954 10 NaN NaN NaN NaN NaN NaN 11.612 1.864 1954 11 NaN NaN NaN NaN NaN NaN 4.120 0.175 1954 12 NaN NaN NaN NaN NaN NaN -2.938 -0.780 1955 1 NaN NaN NaN NaN NaN NaN -5.168 -0.508 1955 2 NaN NaN NaN NaN NaN NaN -3.304 0.384 1955 3 NaN NaN NaN NaN NaN NaN 2.867 1.333 1955 4 NaN NaN NaN NaN NaN NaN 11.329 3.254 1955 5 NaN NaN NaN NaN NaN NaN 15.040 1.265 1955 6 NaN NaN NaN NaN NaN NaN 16.721 -1.684