% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34527 % Primary Name: OCTA (1) % Record Type: TAVG % Country: United States % State: OH % Latitude: 39.50000 +/- 0.00005 % Longitude: -83.61670 +/- 0.00005 % Elevation (m): 318.21 +/- 0.15 % # of Months: 61 % % Alternate Names: Missing Station ID - 336231 % % IDs: coop - 336231 % ghcnd - USC00336231 % ncdc - 12004031 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 970b7dd4a964c0eb5f17279ce9643f67 % Raw Data Hash: 8a39014b45cfc84dd3004ab71fbebd2c % Adj Data Hash: 8a39014b45cfc84dd3004ab71fbebd2c % % 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 1920 6 NaN NaN NaN NaN NaN NaN 20.830 -0.706 1920 7 NaN NaN NaN NaN NaN NaN 21.651 -1.871 1920 8 NaN NaN NaN NaN NaN NaN 21.355 -1.403 1920 9 NaN NaN NaN NaN NaN NaN 20.021 0.798 1920 10 NaN NaN NaN NaN NaN NaN 14.503 2.034 1920 11 NaN NaN NaN NaN NaN NaN 5.262 -0.925 1920 12 NaN NaN NaN NaN NaN NaN 1.428 0.771 1921 1 NaN NaN NaN NaN NaN NaN 0.657 2.518 1921 2 NaN NaN NaN NaN NaN NaN 1.340 1.591 1921 3 NaN NaN NaN NaN NaN NaN 10.601 5.388 1921 4 NaN NaN NaN NaN NaN NaN 13.197 1.783 1921 5 NaN NaN NaN NaN NaN NaN 16.957 -0.000 1921 6 23.331 2.196 0 0 23.331 2.196 23.563 2.027 1921 7 25.498 2.378 0 0 25.498 2.378 25.300 1.778 1921 8 21.776 -0.581 0 0 21.776 -0.581 21.773 -0.985 1921 9 NaN NaN NaN NaN NaN NaN 21.996 2.773 1921 10 11.616 -0.452 0 0 11.616 -0.452 12.028 -0.441 1921 11 6.277 0.491 0 0 6.277 0.491 7.340 1.153 1921 12 1.135 0.880 0 0 1.135 0.880 1.633 0.976 1922 1 -2.958 -0.696 0 0 -2.958 -0.696 -2.679 -0.818 1922 2 1.032 1.685 0 0 1.032 1.685 1.359 1.610 1922 3 6.260 1.449 0 0 6.260 1.449 6.876 1.663 1922 4 12.170 1.157 0 0 12.170 1.157 12.802 1.387 1922 5 18.553 1.998 0 0 18.553 1.998 18.270 1.313 1922 6 22.425 1.290 0 0 22.425 1.290 22.336 0.800 1922 7 23.065 -0.056 0 0 23.065 -0.056 23.181 -0.340 1922 8 21.626 -0.731 0 0 21.626 -0.731 21.639 -1.119 1922 9 20.693 1.872 0 0 20.693 1.872 21.020 1.797 1922 10 13.061 0.994 0 0 13.061 0.994 13.417 0.948 1922 11 6.285 0.499 0 0 6.285 0.499 7.204 1.017 1922 12 0.569 0.313 0 0 0.569 0.313 1.363 0.705 1923 1 0.661 2.923 0 0 0.661 2.923 0.829 2.690 1923 2 -3.220 -2.567 0 0 -3.220 -2.567 -2.792 -2.541 1923 3 3.577 -1.234 0 0 3.577 -1.234 4.487 -0.726 1923 4 9.277 -1.736 0 0 9.277 -1.736 10.086 -1.329 1923 5 15.077 -1.478 0 0 15.077 -1.478 15.475 -1.482 1923 6 21.643 0.508 0 0 21.643 0.508 22.087 0.550 1923 7 23.482 0.362 0 0 23.482 0.362 23.121 -0.401 1923 8 22.261 -0.095 0 0 22.261 -0.095 22.168 -0.590 1923 9 19.477 0.655 0 0 19.477 0.655 19.768 0.544 1923 10 10.752 -1.316 0 0 10.752 -1.316 11.189 -1.280 1923 11 5.125 -0.661 0 0 5.125 -0.661 5.928 -0.259 1923 12 5.223 4.967 0 0 5.223 4.967 5.434 4.777 1924 1 -3.768 -1.506 0 0 -3.768 -1.506 -3.572 -1.711 1924 2 -1.303 -0.651 0 0 -1.303 -0.651 -1.384 -1.133 1924 3 2.402 -2.410 0 0 2.402 -2.410 3.153 -2.059 1924 4 10.655 -0.358 0 0 10.655 -0.358 11.331 -0.084 1924 5 12.882 -3.673 0 0 12.882 -3.673 12.957 -4.000 1924 6 20.862 -0.273 0 0 20.862 -0.273 21.002 -0.535 1924 7 21.540 -1.580 0 0 21.540 -1.580 21.509 -2.013 1924 8 22.452 0.095 0 0 22.452 0.095 22.602 -0.156 1924 9 16.073 -2.748 0 0 16.073 -2.748 16.690 -2.533 1924 10 13.898 1.831 0 0 13.898 1.831 13.627 1.158 1924 11 4.675 -1.111 0 0 4.675 -1.111 6.080 -0.107 1924 12 -2.323 -2.578 0 0 -2.323 -2.578 -1.089 -1.746 1925 1 -2.285 -0.024 0 0 -2.285 -0.024 -2.066 -0.206 1925 2 2.929 3.581 0 0 2.929 3.581 2.795 3.046 1925 3 5.727 0.916 0 0 5.727 0.916 6.536 1.323 1925 4 12.615 1.602 0 0 12.615 1.602 13.470 2.055 1925 5 13.573 -2.983 0 0 13.573 -2.983 13.671 -3.286 1925 6 22.983 1.848 0 0 22.983 1.848 23.360 1.823 1925 7 22.697 -0.424 0 0 22.697 -0.424 22.586 -0.935 1925 8 22.223 -0.134 0 0 22.223 -0.134 22.213 -0.545 1925 9 21.655 2.833 0 0 21.655 2.833 22.527 3.304 1925 10 7.868 -4.200 0 0 7.868 -4.200 8.704 -3.765 1925 11 4.122 -1.664 0 0 4.122 -1.664 4.932 -1.255 1925 12 -1.989 -2.245 0 0 -1.989 -2.245 -1.046 -1.703 1926 1 -3.603 -1.341 0 0 -3.603 -1.341 -2.940 -1.079 1926 2 0.218 0.870 0 0 0.218 0.870 0.534 0.785 1926 3 0.265 -4.547 0 0 0.265 -4.547 1.572 -3.641 1926 4 7.005 -4.008 0 0 7.005 -4.008 7.850 -3.565 1926 5 16.560 0.004 0 0 16.560 0.004 16.612 -0.345 1926 6 19.227 -1.908 0 0 19.227 -1.908 19.357 -2.179 1926 7 22.806 -0.314 0 0 22.806 -0.314 23.102 -0.420 1926 8 NaN NaN NaN NaN NaN NaN 23.692 0.934 1926 9 NaN NaN NaN NaN NaN NaN 20.626 1.402 1926 10 NaN NaN NaN NaN NaN NaN 12.777 0.308 1926 11 NaN NaN NaN NaN NaN NaN 5.300 -0.887 1926 12 NaN NaN NaN NaN NaN NaN -0.010 -0.667 1927 1 NaN NaN NaN NaN NaN NaN -1.657 0.204 1927 2 NaN NaN NaN NaN NaN NaN 3.226 3.477 1927 3 NaN NaN NaN NaN NaN NaN 6.849 1.637 1927 4 NaN NaN NaN NaN NaN NaN 11.299 -0.116 1927 5 NaN NaN NaN NaN NaN NaN 16.618 -0.339 1927 6 NaN NaN NaN NaN NaN NaN 18.762 -2.775 1927 7 NaN NaN NaN NaN NaN NaN 22.803 -0.718