% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35847 % Primary Name: VANDERGRIFT % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.60000 +/- 0.00500 % Longitude: -79.55000 +/- 0.00500 % Elevation (m): 243.80 +/- 0.05 % # of Months: 195 % % IDs: coop - 369128 % ghcnd - USC00369128 % ncdc - 20016835 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 35f711ef53c03b750407d6474d23c6dd % Raw Data Hash: 1688600a8dd984f19c087fa16fe91492 % Adj Data Hash: e80dac3e9f4b65fdbbde7ecf7ea09630 % % 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 1 NaN NaN NaN NaN NaN NaN -3.797 0.863 1930 2 NaN NaN NaN NaN NaN NaN -0.518 3.170 1930 3 NaN NaN NaN NaN NaN NaN 1.070 -0.463 1930 4 NaN NaN NaN NaN NaN NaN 7.756 -0.319 1930 5 NaN NaN NaN NaN NaN NaN 14.133 0.358 1930 6 NaN NaN NaN NaN NaN NaN 18.310 -0.095 1930 7 NaN NaN NaN NaN NaN NaN 20.645 0.098 1930 8 NaN NaN NaN NaN NaN NaN 19.263 -0.566 1930 9 NaN NaN NaN NaN NaN NaN 18.124 1.990 1930 10 NaN NaN NaN NaN NaN NaN 8.572 -1.176 1930 11 NaN NaN NaN NaN NaN NaN 4.339 0.394 1930 12 NaN NaN NaN NaN NaN NaN -3.518 -1.360 1931 1 -0.444 1.641 0 0 0.075 2.161 -3.127 1.534 1931 2 1.111 2.224 0 0 1.621 2.734 -2.208 1.480 1931 3 2.222 -1.886 0 0 2.575 -1.533 0.375 -1.159 1931 4 9.556 -1.094 0 0 9.709 -0.940 7.582 -0.493 1931 5 15.444 -0.906 0 0 15.554 -0.796 13.307 -0.468 1931 6 20.444 -0.536 0 0 20.693 -0.288 18.359 -0.047 1931 7 24.333 1.212 0 0 24.681 1.560 22.059 1.512 1931 8 21.667 -0.737 0 0 21.909 -0.495 19.820 -0.009 1931 9 20.889 2.180 0 0 20.951 2.242 18.993 2.859 1931 10 13.222 0.899 0 0 13.261 0.938 11.192 1.444 1931 11 9.722 3.202 0 0 9.921 3.401 8.627 4.682 1931 12 4.444 4.027 0 0 4.842 4.425 1.426 3.583 1932 1 5.056 7.141 0 0 5.575 7.661 2.455 7.115 1932 2 2.778 3.891 0 0 3.288 4.401 -0.239 3.448 1932 3 1.222 -2.886 0 0 1.575 -2.533 -1.071 -2.605 1932 4 8.889 -1.761 0 0 9.043 -1.607 6.887 -1.188 1932 5 16.222 -0.128 0 0 16.332 -0.018 13.498 -0.277 1932 6 21.000 0.020 0 0 21.248 0.268 18.456 0.051 1932 7 22.667 -0.455 0 0 23.015 -0.107 19.923 -0.624 1932 8 21.778 -0.626 0 0 22.020 -0.384 19.762 -0.067 1932 9 18.667 -0.042 0 0 18.729 0.020 16.810 0.676 1932 10 12.333 0.011 0 0 12.372 0.049 10.295 0.548 1932 11 4.444 -2.075 0 0 4.643 -1.877 2.891 -1.054 1932 12 1.056 0.638 0 0 1.453 1.036 -1.411 0.746 1933 1 3.278 5.363 0 0 3.797 5.883 0.654 5.314 1933 2 0.722 1.835 0 4 0.647 1.760 -2.926 0.762 1933 3 3.000 -1.108 0 0 2.948 -1.160 0.626 -0.908 1933 4 10.444 -0.205 0 0 10.422 -0.228 9.346 1.271 1933 5 17.389 1.039 0 0 17.373 1.023 14.749 0.974 1933 6 22.222 1.242 0 0 22.186 1.206 19.765 1.360 1933 7 23.611 0.490 0 0 23.560 0.439 20.662 0.116 1933 8 22.611 0.207 0 0 22.576 0.171 19.750 -0.079 1933 9 19.889 1.180 0 0 19.880 1.171 17.566 1.433 1933 10 11.111 -1.212 0 0 11.105 -1.217 9.060 -0.688 1933 11 4.111 -2.409 0 0 4.082 -2.438 2.221 -1.724 1933 12 1.444 1.027 0 0 1.386 0.969 -1.656 0.502 1934 1 0.889 2.974 0 0 0.812 2.898 -2.157 2.503 1934 2 -7.389 -6.276 0 0 -7.464 -6.351 -10.330 -6.643 1934 3 1.667 -2.441 0 0 1.615 -2.493 -0.232 -1.765 1934 4 9.556 -1.094 0 0 9.533 -1.117 7.862 -0.213 1934 5 17.167 0.817 0 0 17.151 0.801 14.855 1.080 1934 6 24.000 3.020 0 0 23.964 2.983 21.044 2.639 1934 7 24.889 1.768 0 0 24.838 1.716 22.192 1.646 1934 8 21.111 -1.293 0 0 21.076 -1.329 18.446 -1.383 1934 9 NaN NaN NaN NaN NaN NaN 17.546 1.412 1934 10 11.556 -0.767 0 0 11.550 -0.773 9.300 -0.448 1934 11 7.778 1.258 0 0 7.749 1.229 5.941 1.996 1934 12 0.167 -0.251 0 0 0.108 -0.309 -3.102 -0.944 1935 1 -1.000 1.085 0 0 -1.076 1.009 -4.654 0.007 1935 2 -0.278 0.835 0 0 -0.353 0.760 -4.314 -0.626 1935 3 7.333 3.225 0 0 7.281 3.173 4.377 2.844 1935 4 8.889 -1.761 0 0 8.866 -1.784 6.721 -1.354 1935 5 NaN NaN NaN NaN NaN NaN 10.880 -2.895 1935 6 20.111 -0.869 0 0 20.075 -0.905 17.473 -0.932 1935 7 24.444 1.323 0 0 24.393 1.272 21.872 1.326 1935 8 22.056 -0.349 0 0 22.020 -0.384 19.782 -0.048 1935 9 17.278 -1.431 0 0 17.269 -1.440 15.082 -1.052 1935 10 11.611 -0.712 0 0 11.605 -0.717 9.518 -0.230 1935 11 6.500 -0.020 0 0 6.471 -0.049 5.189 1.244 1935 12 -3.222 -3.640 0 0 -3.281 -3.698 -5.596 -3.438 1936 1 -4.000 -1.915 0 0 -4.076 -1.991 -7.159 -2.498 1936 2 -4.833 -3.720 0 0 -4.908 -3.795 -8.589 -4.902 1936 3 NaN NaN NaN NaN NaN NaN 3.461 1.927 1936 4 8.000 -2.650 0 0 7.977 -2.672 5.871 -2.204 1936 5 17.000 0.650 0 0 16.984 0.634 14.909 1.134 1936 6 20.889 -0.091 0 0 20.852 -0.128 18.128 -0.277 1936 7 23.556 0.434 0 0 23.504 0.383 20.798 0.252 1936 8 23.444 1.040 0 0 23.409 1.005 21.012 1.182 1936 9 19.889 1.180 0 0 19.880 1.171 17.494 1.360 1936 10 12.944 0.622 0 0 12.939 0.616 10.330 0.582 1936 11 4.111 -2.409 0 0 4.082 -2.438 2.415 -1.530 1936 12 2.056 1.638 0 0 1.997 1.580 -1.285 0.873 1937 1 3.833 5.919 0 0 3.757 5.842 0.058 4.718 1937 2 0.333 1.446 0 0 0.258 1.371 -3.141 0.547 1937 3 2.278 -1.830 0 0 2.226 -1.882 -0.754 -2.287 1937 4 9.444 -1.205 0 0 9.422 -1.228 7.025 -1.050 1937 5 15.889 -0.461 0 0 15.873 -0.477 13.574 -0.201 1937 6 21.222 0.242 0 0 21.186 0.206 18.765 0.359 1937 7 22.778 -0.343 0 0 22.727 -0.395 20.455 -0.091 1937 8 23.889 1.485 0 0 23.853 1.449 21.402 1.573 1937 9 16.667 -2.042 0 0 16.658 -2.051 14.631 -1.503 1937 10 10.833 -1.489 0 0 10.828 -1.495 8.198 -1.550 1937 11 5.000 -1.520 0 0 4.971 -1.549 3.360 -0.585 1937 12 -0.722 -1.140 0 0 -0.781 -1.198 -4.008 -1.850 1938 1 -0.333 1.752 0 0 -0.410 1.676 -4.229 0.432 1938 2 3.556 4.668 0 0 3.481 4.593 -1.022 2.666 1938 3 8.111 4.003 0 0 8.059 3.951 4.275 2.741 1938 4 11.667 1.017 0 0 11.644 0.994 8.897 0.822 1938 5 16.111 -0.239 0 0 16.095 -0.255 12.973 -0.802 1938 6 19.944 -1.036 0 0 19.908 -1.072 17.437 -0.968 1938 7 23.778 0.657 0 0 23.727 0.605 20.726 0.179 1938 8 24.111 1.707 0 0 24.076 1.671 21.376 1.547 1938 9 17.833 -0.875 0 0 17.824 -0.884 15.099 -1.035 1938 10 12.667 0.344 0 0 12.661 0.338 10.676 0.928 1938 11 6.667 0.147 0 0 6.637 0.118 5.076 1.131 1938 12 0.778 0.360 0 0 0.719 0.302 -2.171 -0.013 1939 1 0.889 2.974 0 0 0.812 2.898 -3.066 1.594 1939 2 1.444 2.557 0 0 1.369 2.482 -2.113 1.575 1939 3 5.111 1.003 0 0 5.059 0.951 1.788 0.255 1939 4 9.444 -1.205 0 0 9.422 -1.228 6.447 -1.628 1939 5 17.722 1.372 0 0 17.706 1.356 15.199 1.424 1939 6 21.444 0.464 0 0 21.408 0.428 19.148 0.743 1939 7 21.667 -1.455 0 0 21.616 -1.506 19.841 -0.705 1939 8 22.667 0.263 0 0 22.631 0.227 20.836 1.007 1939 9 18.444 -0.264 0 0 18.435 -0.273 17.269 1.136 1939 10 12.111 -0.212 0 0 12.105 -0.217 10.341 0.593 1939 11 NaN NaN NaN NaN NaN NaN 2.889 -1.056 1939 12 1.667 1.249 0 0 1.608 1.191 -0.942 1.216 1940 1 -7.778 -5.692 0 0 -7.854 -5.769 -10.099 -5.439 1940 2 -1.222 -0.109 0 0 -1.297 -0.184 -4.238 -0.550 1940 3 -0.111 -4.219 0 0 -0.163 -4.271 -1.895 -3.428 1940 4 7.333 -3.317 0 0 7.311 -3.339 5.896 -2.179 1940 5 13.833 -2.517 0 0 13.817 -2.533 12.932 -0.843 1940 6 20.556 -0.424 0 0 20.519 -0.461 18.143 -0.262 1940 7 21.889 -1.232 0 0 21.838 -1.284 20.249 -0.297 1940 8 20.667 -1.737 0 0 20.631 -1.773 18.665 -1.164 1940 9 16.500 -2.209 0 0 16.491 -2.218 14.651 -1.482 1940 10 11.111 -1.212 0 0 11.105 -1.217 8.333 -1.415 1940 11 5.778 -0.742 0 0 5.749 -0.771 3.839 -0.106 1940 12 3.833 3.416 0 0 3.775 3.358 0.213 2.371 1941 1 -1.111 0.974 0 0 -1.188 0.898 -4.657 0.003 1941 2 -2.778 -1.665 0 0 -2.853 -1.740 -5.905 -2.217 1941 3 0.444 -3.664 0 0 0.393 -3.716 -2.064 -3.597 1941 4 13.111 2.461 0 0 13.088 2.439 11.265 3.190 1941 5 15.389 -0.961 0 0 15.373 -0.977 13.983 0.208 1941 6 21.444 0.464 0 0 21.408 0.428 18.670 0.265 1941 7 23.667 0.545 0 0 23.616 0.494 21.069 0.522 1941 8 21.111 -1.293 0 0 21.076 -1.329 18.378 -1.452 1941 9 19.556 0.847 0 0 19.546 0.838 17.257 1.123 1941 10 14.444 2.122 0 0 14.439 2.116 11.929 2.181 1941 11 7.167 0.647 0 0 7.137 0.618 5.474 1.529 1941 12 4.056 3.638 0 0 3.997 3.580 0.074 2.232 1942 1 -1.389 0.697 0 0 -1.465 0.620 -4.647 0.013 1942 2 -2.333 -1.220 0 0 -2.408 -1.295 -5.973 -2.285 1942 3 5.444 1.336 0 0 5.393 1.284 2.907 1.374 1942 4 12.889 2.239 0 0 12.866 2.216 10.541 2.466 1942 5 17.389 1.039 0 0 17.373 1.023 15.125 1.350 1942 6 21.667 0.687 0 0 21.630 0.650 18.989 0.584 1942 7 23.167 0.045 0 0 23.116 -0.006 20.554 0.008 1942 8 21.889 -0.515 0 0 21.853 -0.551 19.273 -0.557 1942 9 17.944 -0.764 0 0 17.935 -0.773 16.254 0.120 1942 10 13.222 0.899 0 0 13.217 0.894 10.771 1.023 1942 11 6.222 -0.298 0 0 6.193 -0.327 4.444 0.499 1942 12 -1.000 -1.417 0 0 -1.058 -1.476 -4.608 -2.450 1943 1 0.056 2.141 0 0 -0.021 2.065 -4.166 0.494 1943 2 0.778 1.891 0 0 0.703 1.816 -3.473 0.215 1943 3 4.556 0.447 0 0 4.504 0.396 1.410 -0.123 1943 4 7.667 -2.983 0 0 7.644 -3.006 4.709 -3.365 1943 5 17.000 0.650 0 0 16.984 0.634 14.091 0.316 1943 6 24.222 3.242 0 0 24.186 3.206 21.277 2.872 1943 7 23.778 0.657 0 0 23.727 0.605 20.877 0.330 1943 8 22.222 -0.182 0 0 22.187 -0.218 19.807 -0.022 1943 9 17.556 -1.153 0 0 17.546 -1.162 15.133 -1.001 1943 10 10.778 -1.545 0 0 10.772 -1.551 8.600 -1.148 1943 11 4.722 -1.798 0 0 4.693 -1.827 2.642 -1.303 1943 12 -0.944 -1.362 0 0 -1.003 -1.420 -3.927 -1.770 1944 1 0.667 2.752 0 0 0.590 2.676 -2.366 2.294 1944 2 0.722 1.835 0 0 0.647 1.760 -3.372 0.316 1944 3 3.222 -0.886 0 0 3.170 -0.938 0.200 -1.333 1944 4 9.556 -1.094 0 0 9.533 -1.117 6.495 -1.580 1944 5 20.444 4.094 0 0 20.428 4.078 17.537 3.762 1944 6 22.722 1.742 0 0 22.686 1.706 19.531 1.126 1944 7 23.000 -0.121 0 0 22.949 -0.172 20.620 0.074 1944 8 22.500 0.096 0 0 22.464 0.060 20.479 0.650 1944 9 18.111 -0.598 0 0 18.102 -0.607 16.127 -0.006 1944 10 11.333 -0.989 0 0 11.328 -0.995 9.115 -0.633 1944 11 6.667 0.147 0 0 6.637 0.118 4.989 1.044 1944 12 -1.556 -1.973 0 0 -1.614 -2.031 -5.149 -2.992 1945 1 -5.111 -3.026 0 0 -5.188 -3.102 -8.386 -3.725 1945 2 0.667 1.780 0 0 0.592 1.705 -3.489 0.198 1945 3 10.389 6.281 0 0 10.337 6.229 7.702 6.169 1945 4 13.167 2.517 0 0 13.144 2.494 10.404 2.329 1945 5 14.000 -2.350 0 0 13.984 -2.366 11.434 -2.341 1945 6 20.611 -0.369 0 0 20.575 -0.405 17.701 -0.704 1945 7 23.222 0.101 0 0 23.171 0.050 20.463 -0.084 1945 8 22.000 -0.404 0 0 21.964 -0.440 19.540 -0.289 1945 9 19.944 1.236 0 0 19.935 1.227 17.695 1.561 1945 10 11.000 -1.323 0 0 10.994 -1.329 9.174 -0.574 1945 11 6.556 0.036 0 0 6.526 0.006 4.680 0.736 1945 12 -2.333 -2.751 0 0 -2.392 -2.809 -5.457 -3.299 1946 1 0.111 2.197 0 0 0.035 2.120 -3.446 1.214 1946 2 0.778 1.891 0 0 0.703 1.816 -3.232 0.456 1946 3 10.111 6.003 0 0 10.059 5.951 7.454 5.921 1946 4 9.778 -0.872 0 0 9.755 -0.895 7.771 -0.304 1946 5 15.667 -0.683 0 0 15.651 -0.699 13.126 -0.649 1946 6 20.444 -0.536 0 0 20.408 -0.572 17.406 -0.999 1946 7 22.889 -0.232 0 0 22.838 -0.284 20.149 -0.397 1946 8 19.667 -2.737 0 0 19.631 -2.773 17.442 -2.388 1946 9 19.222 0.514 0 0 19.213 0.504 16.810 0.676 1946 10 14.333 2.011 0 0 14.328 2.005 12.029 2.281 1946 11 7.778 1.258 0 0 7.749 1.229 6.341 2.396 1946 12 2.167 1.749 0 0 2.108 1.691 -0.750 1.408 1947 1 3.111 5.197 0 0 3.035 5.120 -0.741 3.919 1947 2 -4.500 -3.387 0 0 -4.575 -3.462 -7.154 -3.466 1947 3 0.889 -3.219 0 0 0.837 -3.271 -1.745 -3.278 1947 4 10.111 -0.539 0 0 10.088 -0.561 8.740 0.665 1947 5 14.111 -2.239 0 0 14.095 -2.255 12.666 -1.109 1947 6 19.889 -1.091 0 0 19.852 -1.128 17.663 -0.742 1947 7 21.167 -1.955 0 0 21.116 -2.006 19.282 -1.265 1947 8 NaN NaN NaN NaN NaN NaN 22.600 2.771 1947 9 NaN NaN NaN NaN NaN NaN 16.912 0.778 1947 10 NaN NaN NaN NaN NaN NaN 13.623 3.875 1947 11 NaN NaN NaN NaN NaN NaN 2.674 -1.271 1947 12 NaN NaN NaN NaN NaN NaN -2.906 -0.749 1948 1 NaN NaN NaN NaN NaN NaN -8.544 -3.883 1948 2 NaN NaN NaN NaN NaN NaN -4.016 -0.328 1948 3 NaN NaN NaN NaN NaN NaN 3.406 1.873 1948 4 NaN NaN NaN NaN NaN NaN 10.047 1.972 1948 5 NaN NaN NaN NaN NaN NaN 12.948 -0.827 1948 6 NaN NaN NaN NaN NaN NaN 18.152 -0.253 1948 7 NaN NaN NaN NaN NaN NaN 20.620 0.073