% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36504 % Primary Name: SWIFTWATER % Record Type: TAVG % Country: United States % State: PA % Latitude: 41.10000 +/- 0.00005 % Longitude: -75.33330 +/- 0.00005 % Elevation (m): 487.68 +/- 0.15 % # of Months: 30 % % Alternate Names: Missing Station ID - 368732 % % IDs: coop - 368732 % ghcnd - USC00368732 % ncdc - 12004824 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ce0c0c8739f518dfb4f2f7f690ab6a62 % Raw Data Hash: ff9f159d2e76fe51217f70606e29ef00 % Adj Data Hash: d8189566c4fa92096262d10c2fb34c49 % % 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 1896 1 NaN NaN NaN NaN NaN NaN -4.616 -1.443 1896 2 NaN NaN NaN NaN NaN NaN -2.540 -0.471 1896 3 NaN NaN NaN NaN NaN NaN -0.913 -3.861 1896 4 NaN NaN NaN NaN NaN NaN 10.650 1.394 1896 5 NaN NaN NaN NaN NaN NaN 17.150 2.175 1896 6 NaN NaN NaN NaN NaN NaN 18.707 -1.199 1896 7 NaN NaN NaN NaN NaN NaN 22.617 0.067 1896 8 NaN NaN NaN NaN NaN NaN 21.662 0.005 1896 9 NaN NaN NaN NaN NaN NaN 16.963 -0.623 1896 10 NaN NaN NaN NaN NaN NaN 9.153 -2.154 1896 11 NaN NaN NaN NaN NaN NaN 7.565 1.993 1896 12 NaN NaN NaN NaN NaN NaN -2.830 -2.005 1897 1 -6.326 -1.479 1 0 NaN NaN -3.619 -0.446 1897 2 -2.627 1.116 1 0 NaN NaN -2.043 0.026 1897 3 1.442 0.169 0 0 1.207 -0.067 3.007 0.060 1897 4 8.090 0.509 0 0 7.855 0.273 9.411 0.155 1897 5 13.066 -0.235 0 0 12.831 -0.470 14.563 -0.412 1897 6 16.221 -2.011 0 0 15.985 -2.246 17.628 -2.278 1897 7 20.842 -0.034 0 0 20.607 -0.269 22.535 -0.015 1897 8 18.090 -1.892 0 0 17.855 -2.127 20.289 -1.368 1897 9 15.230 -0.682 0 0 14.995 -0.918 17.109 -0.478 1897 10 11.034 1.401 0 0 10.799 1.165 11.476 0.169 1897 11 2.925 -0.972 0 0 2.690 -1.207 5.298 -0.273 1897 12 -1.250 1.249 0 0 -1.485 1.014 -0.779 0.046 1898 1 -3.074 1.773 0 0 -3.309 1.538 -2.101 1.072 1898 2 -2.899 0.843 1 0 NaN NaN -1.753 0.315 1898 3 4.476 3.202 0 0 4.241 2.967 6.166 3.218 1898 4 5.848 -1.733 0 0 5.613 -1.968 7.587 -1.669 1898 5 NaN NaN NaN NaN NaN NaN 13.730 -1.245 1898 6 NaN NaN NaN NaN NaN NaN 20.279 0.373 1898 7 NaN NaN NaN NaN NaN NaN 23.107 0.557 1898 8 19.959 -0.023 1 0 NaN NaN 22.270 0.614 1898 9 NaN NaN NaN NaN NaN NaN 18.931 1.344 1898 10 NaN NaN NaN NaN NaN NaN 11.777 0.469 1898 11 NaN NaN NaN NaN NaN NaN 4.612 -0.959 1898 12 NaN NaN NaN NaN NaN NaN -2.097 -1.272 1899 1 NaN NaN NaN NaN NaN NaN -3.800 -0.627 1899 2 NaN NaN NaN NaN NaN NaN -5.246 -3.178 1899 3 NaN NaN NaN NaN NaN NaN 1.540 -1.408 1899 4 5.050 -2.531 1 0 NaN NaN 9.036 -0.220 1899 5 13.802 0.501 0 2 14.107 0.807 15.019 0.044 1899 6 18.642 0.410 0 0 18.947 0.716 20.892 0.985 1899 7 19.572 -1.304 1 0 NaN NaN 22.046 -0.504 1899 8 18.774 -1.208 0 0 19.080 -0.902 21.222 -0.435 1899 9 14.018 -1.894 0 0 14.324 -1.588 16.455 -1.132 1899 10 10.353 0.720 0 0 10.659 1.026 11.978 0.670 1899 11 2.610 -1.287 0 0 2.916 -0.981 5.203 -0.369 1899 12 NaN NaN NaN NaN NaN NaN -0.416 0.409 1900 1 NaN NaN NaN NaN NaN NaN -2.313 0.860 1900 2 NaN NaN NaN NaN NaN NaN -2.829 -0.761 1900 3 NaN NaN NaN NaN NaN NaN 0.033 -2.914 1900 4 NaN NaN NaN NaN NaN NaN 9.443 0.187 1900 5 NaN NaN NaN NaN NaN NaN 14.650 -0.326 1900 6 18.327 0.095 0 0 18.632 0.401 20.278 0.372 1900 7 20.053 -0.822 1 0 NaN NaN 23.347 0.797 1900 8 21.098 1.116 0 0 21.404 1.422 23.365 1.708 1900 9 17.743 1.831 0 0 18.049 2.137 19.676 2.089 1900 10 13.361 3.728 0 0 13.667 4.034 13.902 2.595 1900 11 NaN NaN NaN NaN NaN NaN 7.013 1.442 1900 12 NaN NaN NaN NaN NaN NaN -1.698 -0.873 1901 1 NaN NaN NaN NaN NaN NaN -2.675 0.499 1901 2 NaN NaN NaN NaN NaN NaN -5.912 -3.844 1901 3 NaN NaN NaN NaN NaN NaN 2.185 -0.763 1901 4 NaN NaN NaN NaN NaN NaN 8.608 -0.648 1901 5 NaN NaN NaN NaN NaN NaN 13.797 -1.179 1901 6 NaN NaN NaN NaN NaN NaN 20.399 0.493 1901 7 NaN NaN NaN NaN NaN NaN 24.346 1.796 1901 8 NaN NaN NaN NaN NaN NaN 21.982 0.325 1901 9 NaN NaN NaN NaN NaN NaN 17.962 0.375 1901 10 NaN NaN NaN NaN NaN NaN 10.766 -0.542