% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37247 % Primary Name: OHIOVILLE % Record Type: TAVG % Country: United States % State: NY % Latitude: 41.73330 +/- 0.00005 % Longitude: -74.06670 +/- 0.00005 % Elevation (m): 109.12 +/- 0.15 % # of Months: 33 % % Alternate Names: Missing Station ID - 306168 % % IDs: coop - 306168 % ghcnd - USC00306168 % ncdc - 12003835 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 124efc1666686b17316205249d9b96eb % Raw Data Hash: 7920985897c9e2a545d16e48b77d643c % Adj Data Hash: 4ec8e554c1076f536a7f1f1d35e00299 % % 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 1922 1 NaN NaN NaN NaN NaN NaN -4.724 -1.551 1922 2 NaN NaN NaN NaN NaN NaN -1.153 0.915 1922 3 NaN NaN NaN NaN NaN NaN 3.829 0.882 1922 4 NaN NaN NaN NaN NaN NaN 9.513 0.257 1922 5 NaN NaN NaN NaN NaN NaN 16.009 1.034 1922 6 NaN NaN NaN NaN NaN NaN 20.469 0.562 1922 7 NaN NaN NaN NaN NaN NaN 21.841 -0.709 1922 8 NaN NaN NaN NaN NaN NaN 20.633 -1.023 1922 9 NaN NaN NaN NaN NaN NaN 18.235 0.648 1922 10 NaN NaN NaN NaN NaN NaN 12.223 0.915 1922 11 NaN NaN NaN NaN NaN NaN 5.965 0.394 1922 12 NaN NaN NaN NaN NaN NaN -2.086 -1.261 1923 1 -3.313 -0.494 1 0 NaN NaN -3.786 -0.613 1923 2 NaN NaN NaN NaN NaN NaN -5.648 -3.580 1923 3 0.952 -2.349 1 0 NaN NaN 1.382 -1.566 1923 4 NaN NaN NaN NaN NaN NaN 9.192 -0.064 1923 5 NaN NaN NaN NaN NaN NaN 13.800 -1.175 1923 6 NaN NaN NaN NaN NaN NaN 21.065 1.159 1923 7 NaN NaN NaN NaN NaN NaN 21.276 -1.273 1923 8 NaN NaN NaN NaN NaN NaN 20.335 -1.321 1923 9 NaN NaN NaN NaN NaN NaN 18.356 0.769 1923 10 NaN NaN NaN NaN NaN NaN 10.713 -0.595 1923 11 NaN NaN NaN NaN NaN NaN 5.328 -0.243 1923 12 NaN NaN NaN NaN NaN NaN 2.722 3.548 1924 1 -1.742 1.078 0 0 -1.742 1.078 -1.955 1.218 1924 2 NaN NaN NaN NaN NaN NaN -4.203 -2.135 1924 3 NaN NaN NaN NaN NaN NaN 2.362 -0.586 1924 4 NaN NaN NaN NaN NaN NaN 7.905 -1.350 1924 5 NaN NaN NaN NaN NaN NaN 12.195 -2.781 1924 6 NaN NaN NaN NaN NaN NaN 18.138 -1.768 1924 7 NaN NaN NaN NaN NaN NaN 21.419 -1.130 1924 8 NaN NaN NaN NaN NaN NaN 21.150 -0.506 1924 9 NaN NaN NaN NaN NaN NaN 15.514 -2.072 1924 10 NaN NaN NaN NaN NaN NaN 11.093 -0.215 1924 11 NaN NaN NaN NaN NaN NaN 5.132 -0.439 1924 12 NaN NaN NaN NaN NaN NaN -1.959 -1.134 1925 1 NaN NaN NaN NaN NaN NaN -5.222 -2.049 1925 2 NaN NaN NaN NaN NaN NaN 0.655 2.723 1925 3 NaN NaN NaN NaN NaN NaN 4.969 2.021 1925 4 NaN NaN NaN NaN NaN NaN 9.914 0.658 1925 5 12.705 -2.624 0 2 12.705 -2.624 12.986 -1.989 1925 6 20.483 0.224 0 0 20.483 0.224 21.864 1.958 1925 7 20.089 -2.815 0 0 20.089 -2.815 21.238 -1.311 1925 8 19.834 -2.176 0 0 19.834 -2.176 20.785 -0.872 1925 9 15.948 -1.992 0 0 15.948 -1.992 18.374 0.788 1925 10 6.356 -5.305 0 0 6.356 -5.305 7.783 -3.524 1925 11 4.758 -1.166 0 0 4.758 -1.166 4.728 -0.844 1925 12 0.923 1.394 0 0 0.923 1.394 -0.953 -0.128 1926 1 -0.639 2.181 0 0 -0.639 2.181 -2.728 0.445 1926 2 NaN NaN NaN NaN NaN NaN -3.687 -1.619 1926 3 2.181 -1.121 0 0 2.181 -1.121 0.234 -2.713 1926 4 8.868 -0.741 0 0 8.868 -0.741 6.811 -2.445 1926 5 16.005 0.676 0 0 16.005 0.676 13.816 -1.159 1926 6 18.807 -1.453 0 0 18.807 -1.453 16.956 -2.951 1926 7 23.568 0.664 0 0 23.568 0.664 22.088 -0.462 1926 8 22.545 0.535 0 0 22.545 0.535 21.543 -0.113 1926 9 16.867 -1.073 0 0 16.867 -1.073 16.816 -0.771 1926 10 9.866 -1.795 0 0 9.866 -1.795 10.028 -1.280 1926 11 6.895 0.970 0 0 6.895 0.970 5.232 -0.340 1926 12 -2.376 -1.904 0 0 -2.376 -1.904 -4.303 -3.478 1927 1 -1.018 1.802 0 0 -1.018 1.802 -3.578 -0.405 1927 2 NaN NaN NaN NaN NaN NaN 0.094 2.162 1927 3 4.415 1.113 0 0 4.415 1.113 4.449 1.501 1927 4 7.540 -2.069 0 0 7.540 -2.069 7.798 -1.458 1927 5 13.779 -1.550 0 0 13.779 -1.550 13.082 -1.893 1927 6 18.236 -2.024 0 0 18.236 -2.024 17.384 -2.523 1927 7 22.471 -0.432 0 0 22.471 -0.432 21.639 -0.911 1927 8 18.622 -3.388 0 0 18.622 -3.388 18.475 -3.181 1927 9 16.108 -1.832 0 0 16.108 -1.832 17.447 -0.140 1927 10 10.913 -0.748 0 0 10.913 -0.748 12.477 1.169 1927 11 5.780 -0.145 0 0 5.780 -0.145 7.669 2.098 1927 12 0.000 0.472 1 0 NaN NaN -0.478 0.347 1928 1 NaN NaN NaN NaN NaN NaN -1.560 1.613 1928 2 NaN NaN NaN NaN NaN NaN -2.126 -0.058 1928 3 NaN NaN NaN NaN NaN NaN 2.105 -0.843 1928 4 NaN NaN NaN NaN NaN NaN 7.641 -1.615 1928 5 NaN NaN NaN NaN NaN NaN 13.416 -1.560 1928 6 NaN NaN NaN NaN NaN NaN 17.980 -1.926 1928 7 NaN NaN NaN NaN NaN NaN 22.794 0.244 1928 8 NaN NaN NaN NaN NaN NaN 22.553 0.896 1928 9 NaN NaN NaN NaN NaN NaN 15.892 -1.695 1928 10 NaN NaN NaN NaN NaN NaN 11.969 0.662 1928 11 NaN NaN NaN NaN NaN NaN 6.454 0.883 1928 12 NaN NaN NaN NaN NaN NaN 0.719 1.544