% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34822 % Primary Name: HEWITT 2 S % Record Type: TAVG % Country: United States % State: PA % Latitude: 39.73330 +/- 0.00005 % Longitude: -78.53330 +/- 0.00005 % Elevation (m): 256.00 +/- 0.05 % # of Months: 71 % % IDs: coop - 363897 % ghcnd - USC00363897 % ncdc - 20016541 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9f9087a4a22f18c8300d0d5ccd38baab % Raw Data Hash: 644cc4e981df7db16dcd67c9c04f3575 % Adj Data Hash: ecfc9ba70f9fbfc2eafee8c88588183d % % 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 1943 5 NaN NaN NaN NaN NaN NaN 16.226 0.975 1943 6 NaN NaN NaN NaN NaN NaN 22.704 3.175 1943 7 NaN NaN NaN NaN NaN NaN 21.632 -0.051 1943 8 NaN NaN NaN NaN NaN NaN 21.307 0.232 1943 9 NaN NaN NaN NaN NaN NaN 16.105 -1.407 1943 10 NaN NaN NaN NaN NaN NaN 9.963 -1.024 1943 11 NaN NaN NaN NaN NaN NaN 4.606 -0.774 1943 12 NaN NaN NaN NaN NaN NaN -1.366 -1.332 1944 1 NaN NaN NaN NaN NaN NaN -0.945 1.163 1944 2 NaN NaN NaN NaN NaN NaN 0.133 1.063 1944 3 NaN NaN NaN NaN NaN NaN 2.818 -1.203 1944 4 NaN NaN NaN NaN NaN NaN 8.989 -0.977 1944 5 21.737 5.810 1 0 NaN NaN 18.628 3.377 1944 6 21.611 1.406 0 0 21.611 1.406 20.745 1.216 1944 7 22.444 0.085 0 0 22.444 0.085 21.654 -0.029 1944 8 NaN NaN NaN NaN NaN NaN 21.295 0.221 1944 9 18.778 0.590 0 0 18.778 0.590 17.641 0.129 1944 10 11.278 -0.386 0 0 11.278 -0.386 10.690 -0.297 1944 11 5.833 -0.223 0 0 5.833 -0.223 5.569 0.189 1944 12 -2.667 -3.309 0 0 -2.667 -3.309 -2.742 -2.708 1945 1 -3.444 -2.013 0 0 -3.444 -2.013 -4.467 -2.359 1945 2 -0.667 -0.413 0 0 -0.667 -0.413 -0.526 0.404 1945 3 9.889 5.191 0 0 9.889 5.191 10.245 6.224 1945 4 11.778 1.135 0 0 11.778 1.135 12.041 2.075 1945 5 14.556 -1.372 0 0 14.556 -1.372 13.435 -1.816 1945 6 19.778 -0.428 0 0 19.778 -0.428 19.226 -0.303 1945 7 20.833 -1.526 0 0 20.833 -1.526 21.339 -0.344 1945 8 20.889 -0.862 0 0 20.889 -0.862 20.474 -0.600 1945 9 19.056 0.867 0 0 19.056 0.867 19.212 1.700 1945 10 11.889 0.225 0 0 11.889 0.225 10.555 -0.432 1945 11 7.000 0.944 0 0 7.000 0.944 6.454 1.074 1945 12 -2.444 -3.087 0 0 -2.444 -3.087 -3.365 -3.332 1946 1 -0.111 1.320 0 0 -0.111 1.320 -0.626 1.482 1946 2 0.389 0.643 0 0 0.389 0.643 -0.179 0.751 1946 3 9.222 4.525 0 0 9.222 4.525 8.821 4.800 1946 4 11.333 0.691 0 0 11.333 0.691 9.924 -0.042 1946 5 15.722 -0.205 0 0 15.722 -0.205 14.715 -0.536 1946 6 18.556 -1.650 0 0 18.556 -1.650 18.926 -0.603 1946 7 21.111 -1.249 0 0 21.111 -1.249 20.924 -0.759 1946 8 20.667 -1.084 0 0 20.667 -1.084 18.661 -2.413 1946 9 19.000 0.812 0 0 19.000 0.812 17.695 0.183 1946 10 16.222 4.558 0 0 16.222 4.558 12.628 1.640 1946 11 8.556 2.499 0 0 8.556 2.499 8.015 2.636 1946 12 4.278 3.635 0 0 4.278 3.635 1.986 2.020 1947 1 3.222 4.653 0 0 3.222 4.653 1.898 4.006 1947 2 -1.595 -1.341 1 0 NaN NaN -5.148 -4.218 1947 3 1.333 -3.364 0 0 1.333 -3.364 0.100 -3.921 1947 4 13.446 2.804 0 0 13.446 2.804 11.717 1.751 1947 5 16.222 0.295 0 0 16.222 0.295 14.541 -0.710 1947 6 20.889 0.684 0 0 20.889 0.684 18.777 -0.752 1947 7 21.667 -0.693 0 0 21.667 -0.693 20.074 -1.609 1947 8 24.500 2.749 0 0 24.500 2.749 23.027 1.953 1947 9 19.056 0.867 0 0 19.056 0.867 18.111 0.599 1947 10 17.826 6.162 0 0 17.826 6.162 14.404 3.417 1947 11 7.297 1.241 1 0 NaN NaN 4.525 -0.855 1947 12 -0.444 -1.087 0 0 -0.444 -1.087 -0.839 -0.805 1948 1 -4.278 -2.847 0 0 -4.278 -2.847 -5.850 -3.742 1948 2 -0.444 -0.191 0 0 -0.444 -0.191 -0.623 0.307 1948 3 6.667 1.969 0 0 6.667 1.969 6.669 2.648 1948 4 11.444 0.802 0 0 11.444 0.802 12.084 2.118 1948 5 14.833 -1.094 0 0 14.833 -1.094 14.565 -0.686 1948 6 19.722 -0.483 0 0 19.722 -0.483 19.606 0.077 1948 7 21.889 -0.471 0 0 21.889 -0.471 21.586 -0.097 1948 8 22.722 0.971 0 0 22.722 0.971 20.617 -0.457 1948 9 18.556 0.367 0 0 18.556 0.367 17.457 -0.054 1948 10 10.889 -0.775 0 0 10.889 -0.775 9.581 -1.406 1948 11 6.722 0.666 0 0 6.722 0.666 8.068 2.688 1948 12 3.111 2.468 0 0 3.111 2.468 1.018 1.052 1949 1 5.233 6.664 1 0 NaN NaN 3.143 5.251 1949 2 4.778 5.032 0 0 4.778 5.032 2.888 3.818 1949 3 6.222 1.525 0 0 6.222 1.525 4.532 0.511 1949 4 9.778 -0.865 0 0 9.778 -0.865 9.348 -0.618 1949 5 14.889 -1.039 0 0 14.889 -1.039 15.261 0.011 1949 6 19.222 -0.983 0 0 19.222 -0.983 20.447 0.918 1949 7 24.167 1.807 0 0 24.167 1.807 23.354 1.670 1949 8 21.444 -0.306 0 0 21.444 -0.306 21.260 0.185 1949 9 15.167 -3.022 0 0 15.167 -3.022 15.443 -2.068 1949 10 13.111 1.447 0 0 13.111 1.447 13.794 2.806 1949 11 5.500 -0.556 0 0 5.500 -0.556 5.699 0.319 1949 12 0.944 0.302 0 0 0.944 0.302 1.414 1.447 1950 1 4.944 6.376 0 0 4.944 6.376 5.192 7.299 1950 2 0.500 0.754 0 0 0.500 0.754 -0.179 0.751 1950 3 1.056 -3.642 0 0 1.056 -3.642 2.107 -1.914 1950 4 7.556 -3.087 0 0 7.556 -3.087 8.016 -1.950 1950 5 NaN NaN NaN NaN NaN NaN 15.350 0.099 1950 6 NaN NaN NaN NaN NaN NaN 18.939 -0.589 1950 7 NaN NaN NaN NaN NaN NaN 20.040 -1.644 1950 8 NaN NaN NaN NaN NaN NaN 20.207 -0.867 1950 9 NaN NaN NaN NaN NaN NaN 16.389 -1.123 1950 10 NaN NaN NaN NaN NaN NaN 12.250 1.263 1950 11 NaN NaN NaN NaN NaN NaN 4.471 -0.908 1950 12 NaN NaN NaN NaN NaN NaN -2.900 -2.867 1951 1 NaN NaN NaN NaN NaN NaN -0.006 2.101 1951 2 NaN NaN NaN NaN NaN NaN 0.235 1.166 1951 3 NaN NaN NaN NaN NaN NaN 4.276 0.255 1951 4 NaN NaN NaN NaN NaN NaN 9.690 -0.276