% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38074 % Primary Name: ARKWRIGHT % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.41670 +/- 0.00005 % Longitude: -79.25000 +/- 0.00005 % Elevation (m): 384.05 +/- 0.15 % # of Months: 69 % % Alternate Names: Missing Station ID - 300259 % % IDs: coop - 300259 % ghcnd - USC00300259 % ncdc - 12003757 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6eac94fb601063926e9400f195254665 % Raw Data Hash: 0aaaebcf7439272113e255e319337ea4 % Adj Data Hash: 242a5cc8ea2506cb54bd6a60b40f4aff % % 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 1892 3 NaN NaN NaN NaN NaN NaN -2.601 -2.924 1892 4 NaN NaN NaN NaN NaN NaN 5.929 -0.987 1892 5 NaN NaN NaN NaN NaN NaN 11.494 -1.516 1892 6 NaN NaN NaN NaN NaN NaN 19.683 1.268 1892 7 NaN NaN NaN NaN NaN NaN 20.469 -0.453 1892 8 NaN NaN NaN NaN NaN NaN 19.939 -0.062 1892 9 NaN NaN NaN NaN NaN NaN 15.711 -0.372 1892 10 NaN NaN NaN NaN NaN NaN 8.967 -0.939 1892 11 NaN NaN NaN NaN NaN NaN 2.127 -1.735 1892 12 NaN NaN NaN NaN NaN NaN -4.877 -2.239 1893 1 NaN NaN NaN NaN NaN NaN -9.903 -4.501 1893 2 NaN NaN NaN NaN NaN NaN -6.585 -1.948 1893 3 -1.667 -1.939 0 0 -1.667 -1.939 -0.888 -1.212 1893 4 4.598 -2.266 0 0 4.598 -2.266 5.724 -1.191 1893 5 10.950 -2.009 0 0 10.950 -2.009 11.769 -1.241 1893 6 18.593 0.229 0 0 18.593 0.229 19.738 1.323 1893 7 19.847 -1.023 0 0 19.847 -1.023 20.556 -0.366 1893 8 18.781 -1.168 0 0 18.781 -1.168 19.298 -0.704 1893 9 13.963 -2.068 0 0 13.963 -2.068 14.263 -1.820 1893 10 10.143 0.289 0 0 10.143 0.289 9.973 0.067 1893 11 2.185 -1.625 0 0 2.185 -1.625 2.945 -0.917 1893 12 NaN NaN NaN NaN NaN NaN -3.937 -1.299 1894 1 -1.498 3.956 0 0 -1.498 3.956 -2.484 2.918 1894 2 -5.040 -0.351 0 0 -5.040 -0.351 -6.374 -1.737 1894 3 3.208 2.936 0 0 3.208 2.936 3.569 3.245 1894 4 6.296 -0.567 0 0 6.296 -0.567 6.891 -0.025 1894 5 12.204 -0.754 0 0 12.204 -0.754 12.554 -0.456 1894 6 18.167 -0.197 0 0 18.167 -0.197 18.957 0.542 1894 7 20.448 -0.422 0 0 20.448 -0.422 20.929 0.007 1894 8 18.351 -1.598 0 0 18.351 -1.598 18.401 -1.601 1894 9 16.907 0.876 0 0 16.907 0.876 17.410 1.327 1894 10 10.448 0.594 0 0 10.448 0.594 10.441 0.535 1894 11 1.250 -2.560 0 0 1.250 -2.560 1.368 -2.494 1894 12 -0.645 2.045 0 0 -0.645 2.045 -1.726 0.913 1895 1 -5.747 -0.293 0 0 -5.747 -0.293 -7.304 -1.902 1895 2 -9.191 -4.502 0 0 -9.191 -4.502 -9.676 -5.039 1895 3 -3.108 -3.380 0 0 -3.108 -3.380 -3.135 -3.459 1895 4 7.032 0.168 0 0 7.032 0.168 7.167 0.251 1895 5 13.710 0.751 0 0 13.710 0.751 13.923 0.913 1895 6 20.177 1.813 0 0 20.177 1.813 20.241 1.826 1895 7 18.881 -1.989 0 0 18.881 -1.989 18.981 -1.941 1895 8 19.084 -0.866 0 0 19.084 -0.866 19.458 -0.544 1895 9 17.067 1.035 0 0 17.067 1.035 17.191 1.108 1895 10 6.368 -3.486 0 0 6.368 -3.486 6.294 -3.612 1895 11 3.885 0.075 0 0 3.885 0.075 3.810 -0.052 1895 12 0.311 3.001 0 0 0.311 3.001 -1.639 1.000 1896 1 -4.274 1.180 0 0 -4.274 1.180 -5.741 -0.339 1896 2 -4.905 -0.216 0 0 -4.905 -0.216 -5.208 -0.571 1896 3 -4.198 -4.470 0 0 -4.198 -4.470 -4.287 -4.611 1896 4 9.122 2.258 0 0 9.122 2.258 9.373 2.457 1896 5 15.963 3.005 0 0 15.963 3.005 16.083 3.072 1896 6 17.758 -0.605 0 0 17.758 -0.605 18.244 -0.171 1896 7 20.377 -0.492 0 0 20.377 -0.492 20.950 0.029 1896 8 18.937 -1.012 0 0 18.937 -1.012 19.778 -0.224 1896 9 14.175 -1.856 0 0 14.175 -1.856 14.848 -1.236 1896 10 7.271 -2.583 0 0 7.271 -2.583 7.263 -2.643 1896 11 5.622 1.812 0 0 5.622 1.812 5.721 1.859 1896 12 -1.766 0.924 0 0 -1.766 0.924 -3.275 -0.637 1897 1 -4.808 0.646 0 0 -4.808 0.646 -6.089 -0.687 1897 2 -3.096 1.593 0 0 -3.096 1.593 -4.028 0.609 1897 3 0.506 0.235 0 0 0.506 0.235 0.969 0.646 1897 4 6.463 -0.400 0 0 6.463 -0.400 7.055 0.139 1897 5 11.665 -1.294 0 0 11.665 -1.294 11.937 -1.073 1897 6 15.670 -2.693 0 0 15.670 -2.693 16.102 -2.313 1897 7 21.268 0.398 0 0 21.268 0.398 22.291 1.370 1897 8 17.283 -2.666 0 0 17.283 -2.666 17.943 -2.059 1897 9 16.190 0.159 0 0 16.190 0.159 16.025 -0.058 1897 10 11.534 1.680 0 0 11.534 1.680 10.768 0.862 1897 11 3.478 -0.332 0 0 3.478 -0.332 3.892 0.031 1897 12 -1.727 0.963 0 0 -1.727 0.963 -2.545 0.094 1898 1 -2.519 2.935 0 0 -2.519 2.935 -3.904 1.498 1898 2 -2.684 2.005 0 0 -2.684 2.005 -3.846 0.791 1898 3 4.313 4.041 0 0 4.313 4.041 4.464 4.141 1898 4 4.702 -2.162 0 0 4.702 -2.162 5.570 -1.346 1898 5 12.421 -0.537 0 0 12.421 -0.537 13.185 0.175 1898 6 18.263 -0.100 0 0 18.263 -0.100 18.979 0.564 1898 7 21.398 0.529 0 0 21.398 0.529 21.995 1.074 1898 8 19.816 -0.134 1 0 NaN NaN 20.488 0.486 1898 9 16.990 0.959 0 0 16.990 0.959 17.589 1.506 1898 10 9.963 0.109 0 0 9.963 0.109 10.505 0.599 1898 11 3.011 -0.799 0 0 3.011 -0.799 3.084 -0.778 1898 12 -3.447 -0.756 0 0 -3.447 -0.756 -3.913 -1.275 1899 1 NaN NaN NaN NaN NaN NaN -5.905 -0.503 1899 2 NaN NaN NaN NaN NaN NaN -7.629 -2.992 1899 3 NaN NaN NaN NaN NaN NaN -0.898 -1.221 1899 4 NaN NaN NaN NaN NaN NaN 8.350 1.434 1899 5 NaN NaN NaN NaN NaN NaN 13.317 0.306 1899 6 NaN NaN NaN NaN NaN NaN 19.293 0.877 1899 7 NaN NaN NaN NaN NaN NaN 20.766 -0.155 1899 8 NaN NaN NaN NaN NaN NaN 20.519 0.518 1899 9 NaN NaN NaN NaN NaN NaN 14.642 -1.441 1899 10 NaN NaN NaN NaN NaN NaN 11.316 1.410 1899 11 NaN NaN NaN NaN NaN NaN 4.281 0.420 1899 12 NaN NaN NaN NaN NaN NaN -3.021 -0.382