% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36171 % Primary Name: LANSFORD FOREMANS SHOP % Record Type: TAVG % Country: United States % State: PA % Latitude: 40.83330 +/- 0.00005 % Longitude: -75.88330 +/- 0.00005 % Elevation (m): 317.00 +/- 0.05 % # of Months: 72 % % Alternate Names: LANSFORD FOREMANS SH % % IDs: coop - 364809 % ghcnd - USC00364809 % ncdc - 20016893 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3590795eaa25413637ae5a4b95fd66c9 % Raw Data Hash: ab7383f8fd5aad1768b1ff81264d1c0c % Adj Data Hash: e1f7d6b62e37dc19220ea6655f307cc8 % % 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 1941 1 NaN NaN NaN NaN NaN NaN -3.963 -0.275 1941 2 NaN NaN NaN NaN NaN NaN -4.322 -1.727 1941 3 NaN NaN NaN NaN NaN NaN -0.742 -3.388 1941 4 NaN NaN NaN NaN NaN NaN 12.160 3.000 1941 5 NaN NaN NaN NaN NaN NaN 15.354 0.559 1941 6 NaN NaN NaN NaN NaN NaN 19.533 -0.122 1941 7 NaN NaN NaN NaN NaN NaN 22.395 0.317 1941 8 NaN NaN NaN NaN NaN NaN 19.884 -1.319 1941 9 NaN NaN NaN NaN NaN NaN 18.267 1.094 1941 10 NaN NaN NaN NaN NaN NaN 12.985 2.278 1941 11 NaN NaN NaN NaN NaN NaN 6.529 1.638 1941 12 NaN NaN NaN NaN NaN NaN 0.397 1.699 1942 1 5.344 5.333 1 0 NaN NaN -4.229 -0.541 1942 2 1.804 0.700 1 0 NaN NaN -4.108 -1.513 1942 3 9.864 3.518 1 0 NaN NaN 4.129 1.482 1942 4 14.486 1.626 1 0 NaN NaN 11.373 2.212 1942 5 18.619 0.125 0 0 18.619 0.125 16.246 1.451 1942 6 21.555 -1.799 1 0 NaN NaN 19.698 0.042 1942 7 23.678 -2.100 0 0 23.678 -2.100 21.967 -0.112 1942 8 22.294 -2.608 1 0 NaN NaN 20.387 -0.815 1942 9 21.703 0.831 0 0 21.703 0.831 17.296 0.123 1942 10 18.811 4.404 1 0 NaN NaN 11.491 0.783 1942 11 13.313 4.722 1 0 NaN NaN 5.428 0.537 1942 12 4.480 2.083 0 0 4.480 2.083 -3.556 -2.254 1943 1 4.775 4.763 0 0 4.775 4.763 -3.470 0.218 1943 2 5.125 4.020 0 0 5.125 4.020 -2.105 0.490 1943 3 7.315 0.970 0 0 7.315 0.970 2.513 -0.133 1943 4 7.419 -5.441 0 0 7.419 -5.441 5.783 -3.378 1943 5 17.085 -1.410 0 0 17.085 -1.410 15.189 0.393 1943 6 NaN NaN NaN NaN NaN NaN 22.259 2.603 1943 7 24.129 -1.649 0 0 24.129 -1.649 22.339 0.260 1943 8 24.097 -0.805 0 0 24.097 -0.805 21.460 0.257 1943 9 19.384 -1.488 0 0 19.384 -1.488 16.259 -0.914 1943 10 14.619 0.212 0 0 14.619 0.212 9.782 -0.926 1943 11 9.580 0.990 0 0 9.580 0.990 3.835 -1.056 1943 12 3.544 1.146 0 0 3.544 1.146 -2.988 -1.686 1944 1 4.935 4.924 0 0 4.935 4.924 -1.728 1.960 1944 2 1.804 0.699 1 0 NaN NaN -2.356 0.240 1944 3 2.680 -3.666 1 0 NaN NaN 0.874 -1.772 1944 4 8.478 -4.383 0 0 8.478 -4.383 7.337 -1.824 1944 5 18.818 0.324 0 0 18.818 0.324 18.065 3.270 1944 6 19.261 -4.093 0 0 19.261 -4.093 19.964 0.309 1944 7 22.977 -2.801 0 0 22.977 -2.801 22.426 0.347 1944 8 23.540 -1.362 0 0 23.540 -1.362 22.048 0.845 1944 9 19.689 -1.183 1 0 NaN NaN 17.521 0.349 1944 10 14.792 0.385 1 0 NaN NaN 9.735 -0.972 1944 11 10.267 1.677 0 0 10.267 1.677 5.369 0.477 1944 12 1.385 -1.012 1 0 NaN NaN -4.106 -2.804 1945 1 -0.699 -0.711 0 0 -0.699 -0.711 -7.462 -3.775 1945 2 5.096 3.992 1 0 NaN NaN -2.608 -0.013 1945 3 12.017 5.671 1 0 NaN NaN 8.813 6.167 1945 4 11.142 -1.719 1 0 NaN NaN 11.344 2.183 1945 5 13.598 -4.896 0 0 13.598 -4.896 12.847 -1.949 1945 6 20.979 -2.375 0 0 20.979 -2.375 19.111 -0.544 1945 7 22.761 -3.018 0 0 22.761 -3.018 21.712 -0.367 1945 8 22.303 -2.599 0 0 22.303 -2.599 20.608 -0.594 1945 9 20.478 -0.394 0 0 20.478 -0.394 18.631 1.458 1945 10 13.941 -0.466 0 0 13.941 -0.466 10.141 -0.567 1945 11 9.313 0.722 0 0 9.313 0.722 5.740 0.848 1945 12 1.719 -0.678 0 0 1.719 -0.678 -4.303 -3.001 1946 1 NaN NaN NaN NaN NaN NaN -2.379 1.309 1946 2 0.850 -0.254 0 0 0.850 -0.254 -2.721 -0.126 1946 3 11.557 5.212 0 0 11.557 5.212 7.866 5.220 1946 4 NaN NaN NaN NaN NaN NaN 8.989 -0.172 1946 5 17.575 -0.919 1 0 NaN NaN 14.251 -0.545 1946 6 21.309 -2.045 0 0 21.309 -2.045 18.453 -1.202 1946 7 25.001 -0.777 0 0 25.001 -0.777 21.757 -0.322 1946 8 NaN NaN NaN NaN NaN NaN 18.867 -2.336 1946 9 22.385 1.513 0 0 22.385 1.513 17.950 0.777 1946 10 17.054 2.647 0 0 17.054 2.647 12.975 2.267 1946 11 11.430 2.839 0 0 11.430 2.839 7.302 2.410 1946 12 4.537 2.140 1 0 NaN NaN -0.205 1.097 1947 1 5.050 5.038 0 0 5.050 5.038 -0.109 3.579 1947 2 0.195 -0.909 0 0 0.195 -0.909 -4.720 -2.125 1947 3 3.825 -2.521 0 0 3.825 -2.521 0.557 -2.089 1947 4 11.809 -1.051 0 0 11.809 -1.051 9.313 0.152 1947 5 17.535 -0.959 0 0 17.535 -0.959 14.175 -0.621 1947 6 21.790 -1.565 0 0 21.790 -1.565 18.560 -1.095 1947 7 24.387 -1.392 0 0 24.387 -1.392 21.107 -0.972 1947 8 25.498 0.596 0 0 25.498 0.596 22.975 1.772 1947 9 19.265 -1.607 0 0 19.265 -1.607 17.796 0.623 1947 10 14.896 0.489 0 0 14.896 0.489 14.259 3.552 1947 11 8.907 0.316 0 0 8.907 0.316 3.792 -1.099 1947 12 6.781 4.384 0 0 6.781 4.384 -2.154 -0.852 1948 1 1.135 1.124 0 0 1.135 1.124 -7.359 -3.671 1948 2 2.855 1.751 0 0 2.855 1.751 -4.002 -1.406 1948 3 8.129 1.784 1 0 NaN NaN 3.940 1.294 1948 4 13.273 0.413 0 0 13.273 0.413 10.118 0.957 1948 5 NaN NaN NaN NaN NaN NaN 14.295 -0.501 1948 6 NaN NaN NaN NaN NaN NaN 19.269 -0.386 1948 7 NaN NaN NaN NaN NaN NaN 22.163 0.084 1948 8 NaN NaN NaN NaN NaN NaN 21.209 0.007 1948 9 NaN NaN NaN NaN NaN NaN 17.668 0.495 1948 10 NaN NaN NaN NaN NaN NaN 9.764 -0.943 1948 11 NaN NaN NaN NaN NaN NaN 8.084 3.192 1948 12 NaN NaN NaN NaN NaN NaN -0.884 0.418 1949 1 NaN NaN NaN NaN NaN NaN 0.471 4.158 1949 2 NaN NaN NaN NaN NaN NaN 0.399 2.994 1949 3 NaN NaN NaN NaN NaN NaN 3.867 1.220 1949 4 NaN NaN NaN NaN NaN NaN 9.340 0.179