% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36399 % Primary Name: ELLSWORTH % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.01670 +/- 0.00005 % Longitude: -80.85000 +/- 0.00005 % Elevation (m): 317.00 +/- 0.05 % # of Months: 33 % % IDs: coop - 332580 % ghcnd - USC00332580 % ncdc - 20015525 % nws - ELWO1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6a308ea7630ecae9f01204e00e76fef2 % Raw Data Hash: fd919d737f59a129b37ad0d0a2b44403 % Adj Data Hash: c003c17b0ae075734e971cdf908ffb05 % % 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 4 NaN NaN NaN NaN NaN NaN 8.297 -1.012 1892 5 NaN NaN NaN NaN NaN NaN 13.824 -1.272 1892 6 NaN NaN NaN NaN NaN NaN 21.847 1.826 1892 7 NaN NaN NaN NaN NaN NaN 21.665 -0.495 1892 8 NaN NaN NaN NaN NaN NaN 21.244 -0.187 1892 9 NaN NaN NaN NaN NaN NaN 17.578 -0.201 1892 10 NaN NaN NaN NaN NaN NaN 10.436 -0.785 1892 11 NaN NaN NaN NaN NaN NaN 3.400 -1.741 1892 12 NaN NaN NaN NaN NaN NaN -3.049 -2.169 1893 1 NaN NaN NaN NaN NaN NaN -8.984 -5.380 1893 2 NaN NaN NaN NaN NaN NaN -3.504 -1.135 1893 3 NaN NaN NaN NaN NaN NaN 2.275 -0.676 1893 4 8.778 -0.369 0 0 8.778 -0.369 9.063 -0.246 1893 5 13.297 -1.636 0 0 13.297 -1.636 13.258 -1.838 1893 6 20.000 0.141 0 0 20.000 0.141 20.804 0.782 1893 7 21.290 -0.707 0 0 21.290 -0.707 21.988 -0.172 1893 8 19.677 -1.591 0 0 19.677 -1.591 20.342 -1.088 1893 9 17.452 -0.165 1 0 NaN NaN 17.261 -0.518 1893 10 11.685 0.627 0 0 11.685 0.627 11.382 0.161 1893 11 3.204 -1.775 0 0 3.204 -1.775 3.809 -1.332 1893 12 -0.609 0.432 0 0 -0.609 0.432 -0.897 -0.017 1894 1 -0.741 3.025 0 0 -0.741 3.025 -0.683 2.921 1894 2 -3.436 -0.905 0 0 -3.436 -0.905 -3.645 -1.276 1894 3 6.111 3.322 0 0 6.111 3.322 6.343 3.392 1894 4 8.889 -0.258 0 0 8.889 -0.258 9.280 -0.029 1894 5 14.731 -0.203 0 0 14.731 -0.203 14.808 -0.288 1894 6 20.056 0.196 0 0 20.056 0.196 20.539 0.518 1894 7 21.792 -0.206 0 0 21.792 -0.206 22.457 0.297 1894 8 20.717 -0.552 0 0 20.717 -0.552 20.845 -0.586 1894 9 18.981 1.364 0 0 18.981 1.364 19.525 1.746 1894 10 11.519 0.460 0 0 11.519 0.460 11.445 0.224 1894 11 2.037 -2.941 0 0 2.037 -2.941 2.806 -2.334 1894 12 -0.197 0.845 0 0 -0.197 0.845 -0.114 0.765 1895 1 -5.735 -1.969 0 0 -5.735 -1.969 -6.306 -2.703 1895 2 -7.471 -4.941 0 0 -7.471 -4.941 -8.294 -5.925 1895 3 -0.090 -2.879 0 0 -0.090 -2.879 0.256 -2.695 1895 4 10.000 0.853 0 0 10.000 0.853 9.995 0.686 1895 5 15.394 0.460 0 0 15.394 0.460 15.402 0.306 1895 6 20.907 1.048 0 0 20.907 1.048 21.535 1.514 1895 7 20.323 -1.675 0 0 20.323 -1.675 20.303 -1.856 1895 8 21.631 0.362 0 0 21.631 0.362 21.559 0.128 1895 9 19.187 1.570 0 0 19.187 1.570 19.478 1.699 1895 10 7.491 -3.568 0 0 7.491 -3.568 7.410 -3.810 1895 11 4.793 -0.185 0 0 4.793 -0.185 5.058 -0.083 1895 12 0.227 1.269 0 0 0.227 1.269 -0.124 0.755 1896 1 NaN NaN NaN NaN NaN NaN -3.185 0.419 1896 2 NaN NaN NaN NaN NaN NaN -2.741 -0.372 1896 3 NaN NaN NaN NaN NaN NaN -1.118 -4.069 1896 4 NaN NaN NaN NaN NaN NaN 12.454 3.145 1896 5 NaN NaN NaN NaN NaN NaN 18.836 3.740 1896 6 NaN NaN NaN NaN NaN NaN 19.887 -0.134 1896 7 NaN NaN NaN NaN NaN NaN 21.869 -0.291 1896 8 NaN NaN NaN NaN NaN NaN 20.928 -0.502 1896 9 NaN NaN NaN NaN NaN NaN 16.672 -1.107 1896 10 NaN NaN NaN NaN NaN NaN 8.401 -2.820 1896 11 NaN NaN NaN NaN NaN NaN 7.288 2.148 1896 12 NaN NaN NaN NaN NaN NaN -1.126 -0.246