% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 163305 % Primary Name: CURWENSVILLE WB AP % Record Type: TAVG % Country: United States % State: PA % Latitude: 41.05000 +/- 0.00005 % Longitude: -78.58330 +/- 0.00005 % Elevation (m): 675.10 +/- 0.05 % # of Months: 112 % % Alternate Names: CURWENSVILLE % CURWENSVILLE 6 NW WB A % % IDs: coop - 361966 % ghcnd - USW00014746 % gsod - 999999-14746 % ncdc - 20016968 % wban - 14746 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 70be405c9d907fead263a13afa59bced % Raw Data Hash: b6b6d69cff3fb62aa73a612173b45e1d % Adj Data Hash: a9efe02de25a8f2d1bea97744b17506c % % 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 1942 1 NaN NaN NaN NaN NaN NaN -4.647 0.013 1942 2 NaN NaN NaN NaN NaN NaN -5.973 -2.285 1942 3 NaN NaN NaN NaN NaN NaN 2.907 1.374 1942 4 NaN NaN NaN NaN NaN NaN 10.541 2.466 1942 5 NaN NaN NaN NaN NaN NaN 15.125 1.350 1942 6 NaN NaN NaN NaN NaN NaN 18.989 0.584 1942 7 NaN NaN NaN NaN NaN NaN 20.554 0.008 1942 8 NaN NaN NaN NaN NaN NaN 19.273 -0.557 1942 9 NaN NaN NaN NaN NaN NaN 16.254 0.120 1942 10 NaN NaN NaN NaN NaN NaN 10.771 1.023 1942 11 NaN NaN NaN NaN NaN NaN 4.444 0.499 1942 12 NaN NaN NaN NaN NaN NaN -4.608 -2.450 1943 1 -5.111 0.686 0 0 -5.111 0.686 -4.166 0.494 1943 2 -4.722 0.102 0 0 -4.722 0.102 -3.473 0.215 1943 3 0.000 -0.397 0 0 0.000 -0.397 1.410 -0.123 1943 4 2.667 -4.272 0 0 2.667 -4.272 4.709 -3.365 1943 5 13.222 0.584 0 0 13.222 0.584 14.091 0.316 1943 6 20.000 2.731 0 0 20.000 2.731 21.277 2.872 1943 7 19.778 0.368 0 0 19.778 0.368 20.877 0.330 1943 8 18.556 -0.137 0 0 18.556 -0.137 19.807 -0.022 1943 9 14.056 -0.942 0 0 14.056 -0.942 15.133 -1.001 1943 10 7.556 -1.056 0 0 7.556 -1.056 8.600 -1.148 1943 11 0.500 -2.308 0 0 0.500 -2.308 2.642 -1.303 1943 12 -5.111 -1.817 0 0 -5.111 -1.817 -3.927 -1.770 1944 1 -3.222 2.575 0 0 -3.222 2.575 -2.366 2.294 1944 2 -4.333 0.491 0 0 -4.333 0.491 -3.372 0.316 1944 3 -1.556 -1.952 0 0 -1.556 -1.952 0.200 -1.333 1944 4 4.889 -2.049 0 0 4.889 -2.049 6.495 -1.580 1944 5 17.222 4.584 0 0 17.222 4.584 17.537 3.762 1944 6 17.778 0.509 0 0 17.778 0.509 19.531 1.126 1944 7 20.000 0.590 0 0 20.000 0.590 20.620 0.074 1944 8 19.556 0.863 0 0 19.556 0.863 20.479 0.650 1944 9 14.444 -0.553 0 0 14.444 -0.553 16.127 -0.006 1944 10 8.167 -0.445 0 0 8.167 -0.445 9.115 -0.633 1944 11 3.222 0.414 0 0 3.222 0.414 4.989 1.044 1944 12 -5.833 -2.539 0 0 -5.833 -2.539 -5.149 -2.992 1945 1 -9.556 -3.759 0 0 -9.556 -3.759 -8.386 -3.725 1945 2 -4.222 0.602 0 0 -4.222 0.602 -3.489 0.198 1945 3 6.778 6.381 0 0 6.778 6.381 7.702 6.169 1945 4 8.556 1.617 0 0 8.556 1.617 10.404 2.329 1945 5 10.222 -2.416 0 0 10.222 -2.416 11.434 -2.341 1945 6 16.778 -0.491 0 0 16.778 -0.491 17.701 -0.704 1945 7 19.333 -0.076 0 0 19.333 -0.076 20.463 -0.084 1945 8 18.389 -0.304 0 0 18.389 -0.304 19.540 -0.289 1945 9 15.778 0.781 0 0 15.778 0.781 17.695 1.561 1945 10 8.222 -0.389 0 0 8.222 -0.389 9.174 -0.574 1945 11 2.667 -0.142 0 0 2.667 -0.142 4.680 0.736 1945 12 -6.500 -3.206 0 0 -6.500 -3.206 -5.457 -3.299 1946 1 -4.444 1.353 0 0 -4.444 1.353 -3.446 1.214 1946 2 -4.444 0.380 0 0 -4.444 0.380 -3.232 0.456 1946 3 6.444 6.048 0 0 6.444 6.048 7.454 5.921 1946 4 6.444 -0.494 0 0 6.444 -0.494 7.771 -0.304 1946 5 12.222 -0.416 0 0 12.222 -0.416 13.126 -0.649 1946 6 16.000 -1.269 0 0 16.000 -1.269 17.406 -0.999 1946 7 19.111 -0.299 0 0 19.111 -0.299 20.149 -0.397 1946 8 16.222 -2.470 0 0 16.222 -2.470 17.442 -2.388 1946 9 15.889 0.892 0 0 15.889 0.892 16.810 0.676 1946 10 11.556 2.944 0 0 11.556 2.944 12.029 2.281 1946 11 4.222 1.414 0 0 4.222 1.414 6.341 2.396 1946 12 -2.000 1.294 0 0 -2.000 1.294 -0.750 1.408 1947 1 -1.667 4.130 0 0 -1.667 4.130 -0.741 3.919 1947 2 -8.500 -3.676 0 0 -8.500 -3.676 -7.154 -3.466 1947 3 -3.333 -3.730 0 0 -3.333 -3.730 -1.745 -3.278 1947 4 7.000 0.062 0 0 7.000 0.062 8.740 0.665 1947 5 11.556 -1.083 0 0 11.556 -1.083 12.666 -1.109 1947 6 16.722 -0.546 0 0 16.722 -0.546 17.663 -0.742 1947 7 18.111 -1.299 0 0 18.111 -1.299 19.282 -1.265 1947 8 21.500 2.807 0 0 21.500 2.807 22.600 2.771 1947 9 15.389 0.392 0 0 15.389 0.392 16.912 0.778 1947 10 13.444 4.833 0 0 13.444 4.833 13.623 3.875 1947 11 0.444 -2.364 0 0 0.444 -2.364 2.674 -1.271 1947 12 -3.556 -0.261 0 0 -3.556 -0.261 -2.906 -0.749 1948 1 -9.333 -3.536 0 0 -9.333 -3.536 -8.544 -3.883 1948 2 -4.222 0.602 0 0 -4.222 0.602 -4.016 -0.328 1948 3 2.111 1.715 0 0 2.111 1.715 3.406 1.873 1948 4 8.333 1.395 0 0 8.333 1.395 10.047 1.972 1948 5 12.333 -0.305 0 0 12.333 -0.305 12.948 -0.827 1948 6 17.415 0.146 0 0 17.415 0.146 18.152 -0.253 1948 7 19.210 -0.200 0 0 19.210 -0.200 20.620 0.073 1948 8 18.722 0.030 0 0 18.722 0.030 19.589 -0.240 1948 9 15.667 0.670 0 0 15.667 0.670 16.511 0.377 1948 10 8.000 -0.611 0 0 8.000 -0.611 8.589 -1.159 1948 11 4.833 2.025 0 0 4.833 2.025 6.788 2.843 1948 12 -2.389 0.905 0 0 -2.389 0.905 -1.478 0.680 1949 1 -1.056 4.741 0 0 -1.056 4.741 0.027 4.687 1949 2 -0.889 3.936 0 0 -0.889 3.936 -0.262 3.426 1949 3 1.000 0.603 0 0 1.000 0.603 2.155 0.622 1949 4 6.444 -0.494 0 0 6.444 -0.494 7.652 -0.423 1949 5 13.611 0.973 0 0 13.611 0.973 14.134 0.359 1949 6 19.167 1.898 0 0 19.167 1.898 20.227 1.822 1949 7 21.444 2.035 0 0 21.444 2.035 22.551 2.005 1949 8 19.667 0.974 0 0 19.667 0.974 20.358 0.529 1949 9 12.444 -2.553 0 0 12.444 -2.553 13.963 -2.171 1949 10 12.167 3.555 0 0 12.167 3.555 12.469 2.721 1949 11 2.278 -0.531 0 0 2.278 -0.531 4.004 0.059 1949 12 -2.056 1.239 0 0 -2.056 1.239 -0.898 1.259 1950 1 0.944 6.741 0 0 0.944 6.741 1.791 6.451 1950 2 -4.333 0.491 0 0 -4.333 0.491 -3.307 0.380 1950 3 -3.111 -3.508 0 0 -3.111 -3.508 -1.051 -2.584 1950 4 3.944 -2.994 0 0 3.944 -2.994 5.583 -2.492 1950 5 13.389 0.750 0 0 13.389 0.750 13.885 0.110 1950 6 16.667 -0.602 0 0 16.667 -0.602 17.711 -0.694 1950 7 17.944 -1.465 0 0 17.944 -1.465 18.890 -1.656 1950 8 18.389 -0.304 0 0 18.389 -0.304 19.008 -0.821 1950 9 13.278 -1.719 0 0 13.278 -1.719 15.003 -1.131 1950 10 10.833 2.222 0 0 10.833 2.222 11.281 1.533 1950 11 1.111 -1.697 0 0 1.111 -1.697 3.230 -0.715 1950 12 -5.667 -2.372 0 0 -5.667 -2.372 -5.032 -2.874 1951 1 -2.944 2.853 0 0 -2.944 2.853 -2.692 1.968 1951 2 -3.389 1.436 0 0 -3.389 1.436 -2.553 1.135 1951 3 0.278 -0.119 0 0 0.278 -0.119 2.073 0.540 1951 4 6.389 -0.549 0 0 6.389 -0.549 7.802 -0.273 1951 5 13.500 0.862 0 0 13.500 0.862 14.067 0.292 1951 6 17.556 0.287 0 0 17.556 0.287 18.523 0.118 1951 7 19.444 0.035 0 0 19.444 0.035 20.451 -0.096 1951 8 18.389 -0.304 0 0 18.389 -0.304 19.264 -0.566 1951 9 14.444 -0.553 0 0 14.444 -0.553 15.829 -0.305 1951 10 10.611 2.000 0 0 10.611 2.000 11.317 1.569 1951 11 -0.778 -3.586 0 0 -0.778 -3.586 1.102 -2.843 1951 12 -2.944 0.350 0 0 -2.944 0.350 -2.067 0.091 1952 1 -2.778 3.019 0 0 -2.778 3.019 -1.761 2.899 1952 2 -2.444 2.380 0 0 -2.444 2.380 -1.666 2.022 1952 3 -0.056 -0.452 0 0 -0.056 -0.452 1.203 -0.330 1952 4 4.270 -2.668 1 0 NaN NaN 9.158 1.083 1952 5 NaN NaN NaN NaN NaN NaN 12.160 -1.615 1952 6 NaN NaN NaN NaN NaN NaN 19.719 1.314 1952 7 NaN NaN NaN NaN NaN NaN 22.190 1.644 1952 8 NaN NaN NaN NaN NaN NaN 19.975 0.146 1952 9 NaN NaN NaN NaN NaN NaN 16.245 0.111 1952 10 NaN NaN NaN NaN NaN NaN 7.408 -2.340 1952 11 NaN NaN NaN NaN NaN NaN 5.574 1.629 1952 12 NaN NaN NaN NaN NaN NaN -1.081 1.076 1953 1 NaN NaN NaN NaN NaN NaN -0.840 3.820 1953 2 NaN NaN NaN NaN NaN NaN -1.159 2.528 1953 3 NaN NaN NaN NaN NaN NaN 3.065 1.532 1953 4 NaN NaN NaN NaN NaN NaN 7.231 -0.844