% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35299 % Primary Name: ROSEWOOD % Record Type: TAVG % Country: United States % State: OH % Latitude: 40.13330 +/- 0.00005 % Longitude: -83.98330 +/- 0.00005 % Elevation (m): 346.56 +/- 0.15 % # of Months: 88 % % Alternate Names: Missing Station ID - 337265 % % IDs: coop - 337265 % ghcnd - USC00337265 % ncdc - 12004043 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: bc7a47c3b3f6270e92be81d1a5e75f8f % Raw Data Hash: 526cf3a7c773f790528b63e3499ad5ed % Adj Data Hash: ce207e16dd451246003cb4c1739be89c % % 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 1893 5 NaN NaN NaN NaN NaN NaN 15.023 -1.934 1893 6 NaN NaN NaN NaN NaN NaN 21.640 0.103 1893 7 NaN NaN NaN NaN NaN NaN 23.942 0.420 1893 8 NaN NaN NaN NaN NaN NaN 21.670 -1.088 1893 9 NaN NaN NaN NaN NaN NaN 19.287 0.064 1893 10 NaN NaN NaN NaN NaN NaN 11.897 -0.572 1893 11 NaN NaN NaN NaN NaN NaN 4.834 -1.353 1893 12 NaN NaN NaN NaN NaN NaN 1.137 0.479 1894 1 NaN NaN NaN NaN NaN NaN 1.068 2.928 1894 2 NaN NaN NaN NaN NaN NaN -1.261 -1.010 1894 3 NaN NaN NaN NaN NaN NaN 7.864 2.651 1894 4 NaN NaN NaN NaN NaN NaN 11.178 -0.237 1894 5 14.910 -1.114 0 0 15.117 -0.907 16.069 -0.888 1894 6 21.278 0.674 0 0 21.484 0.880 22.366 0.829 1894 7 22.993 0.404 0 0 23.199 0.610 23.619 0.098 1894 8 21.165 -0.661 0 0 21.371 -0.454 22.150 -0.608 1894 9 19.093 0.802 0 0 19.299 1.009 20.609 1.385 1894 10 11.470 -0.067 0 0 11.676 0.140 12.334 -0.135 1894 11 2.593 -2.662 0 0 2.799 -2.455 4.075 -2.112 1894 12 0.753 1.028 0 0 0.959 1.235 1.318 0.660 1895 1 -5.495 -2.702 0 0 -5.289 -2.496 -4.554 -2.693 1895 2 -7.302 -6.118 0 0 -7.095 -5.911 -7.016 -6.765 1895 3 1.290 -2.990 0 0 1.496 -2.784 3.469 -1.743 1895 4 10.833 0.351 0 0 11.040 0.558 11.951 0.536 1895 5 15.430 -0.594 0 0 15.637 -0.388 16.213 -0.744 1895 6 21.815 1.211 0 0 22.021 1.417 22.897 1.360 1895 7 21.907 -0.682 0 0 22.114 -0.475 22.360 -1.162 1895 8 22.548 0.722 0 0 22.754 0.929 23.300 0.542 1895 9 20.222 1.932 0 0 20.429 2.138 21.718 2.495 1895 10 7.491 -4.045 0 0 7.698 -3.839 8.642 -3.827 1895 11 4.390 -0.864 0 0 4.597 -0.658 5.843 -0.344 1895 12 0.761 1.037 0 0 0.968 1.243 1.705 1.048 1896 1 -2.787 0.006 0 0 -2.581 0.213 -1.269 0.591 1896 2 -1.200 -0.016 0 0 -0.993 0.190 -0.542 -0.291 1896 3 -0.256 -4.536 0 0 -0.050 -4.330 1.320 -3.892 1896 4 13.368 2.886 0 0 13.574 3.092 15.072 3.658 1896 5 19.490 3.466 0 0 19.697 3.672 20.407 3.450 1896 6 20.419 -0.185 1 0 NaN NaN 21.339 -0.198 1896 7 22.403 -0.186 0 0 22.610 0.021 23.221 -0.301 1896 8 21.268 -0.558 0 0 21.474 -0.351 22.408 -0.350 1896 9 15.797 -2.494 0 0 16.003 -2.287 17.956 -1.267 1896 10 9.055 -2.481 0 0 9.261 -2.275 9.968 -2.501 1896 11 6.748 1.494 0 4 6.645 1.391 7.975 1.788 1896 12 0.287 0.562 0 0 0.184 0.459 1.271 0.614 1897 1 -4.085 -1.292 0 0 -4.189 -1.396 -3.604 -1.743 1897 2 -0.230 0.953 0 0 -0.334 0.850 0.942 1.193 1897 3 5.031 0.751 0 0 4.927 0.647 6.796 1.584 1897 4 8.955 -1.527 0 0 8.852 -1.630 10.640 -0.775 1897 5 13.385 -2.639 0 0 13.282 -2.742 14.013 -2.944 1897 6 19.453 -1.151 0 0 19.350 -1.254 20.840 -0.697 1897 7 23.631 1.042 0 0 23.527 0.938 24.262 0.740 1897 8 19.821 -2.005 0 0 19.718 -2.108 21.256 -1.502 1897 9 18.735 0.445 0 0 18.632 0.341 20.045 0.822 1897 10 14.548 3.012 0 0 14.445 2.909 14.847 2.378 1897 11 5.322 0.067 0 0 5.218 -0.036 6.488 0.301 1897 12 -0.260 0.016 0 0 -0.363 -0.088 1.097 0.439 1898 1 -0.905 1.888 0 0 -1.008 1.785 0.357 2.217 1898 2 -1.250 -0.066 0 0 -1.353 -0.170 -0.794 -0.543 1898 3 6.684 2.404 0 0 6.581 2.301 8.162 2.949 1898 4 7.830 -2.652 0 0 7.727 -2.755 9.260 -2.155 1898 5 15.750 -0.274 0 0 15.647 -0.378 16.857 -0.100 1898 6 21.267 0.663 0 0 21.163 0.560 22.597 1.060 1898 7 24.211 1.622 0 0 24.108 1.519 24.586 1.065 1898 8 22.167 0.341 0 0 22.063 0.238 23.215 0.457 1898 9 20.000 1.710 0 0 19.897 1.606 20.984 1.761 1898 10 12.471 0.935 0 0 12.368 0.832 12.640 0.171 1898 11 3.045 -2.209 0 0 2.942 -2.313 4.472 -1.715 1898 12 -2.652 -2.377 0 0 -2.756 -2.480 -1.239 -1.896 1899 1 -2.762 0.031 0 0 -2.865 -0.072 -1.945 -0.085 1899 2 -6.501 -5.317 0 0 -6.604 -5.420 -5.943 -5.692 1899 3 2.356 -1.924 0 0 2.253 -2.027 4.333 -0.879 1899 4 11.782 1.300 0 0 11.678 1.196 12.616 1.201 1899 5 17.652 1.628 0 0 17.549 1.525 18.095 1.138 1899 6 22.352 1.748 0 0 22.249 1.645 22.612 1.076 1899 7 23.692 1.103 0 0 23.588 0.999 23.564 0.042 1899 8 23.593 1.767 0 0 23.489 1.664 23.506 0.748 1899 9 17.586 -0.704 0 0 17.483 -0.808 18.946 -0.277 1899 10 15.056 3.519 0 0 14.952 3.416 14.300 1.831 1899 11 6.379 1.124 0 0 6.275 1.021 7.484 1.297 1899 12 -1.541 -1.266 0 0 -1.644 -1.369 -0.539 -1.196 1900 1 -0.426 2.367 0 0 -0.529 2.264 -0.384 1.477 1900 2 -3.436 -2.253 0 0 -3.539 -2.356 -2.928 -2.677 1900 3 0.556 -3.724 0 0 0.452 -3.828 2.452 -2.761 1900 4 10.074 -0.408 0 0 9.971 -0.511 11.206 -0.209 1900 5 17.509 1.485 0 0 17.406 1.381 17.496 0.539 1900 6 20.651 0.047 0 0 20.548 -0.056 21.862 0.325 1900 7 NaN NaN NaN NaN NaN NaN 23.722 0.200 1900 8 24.685 2.860 0 0 24.582 2.757 24.932 2.174 1900 9 20.525 2.235 0 0 20.422 2.131 21.984 2.761 1900 10 15.858 4.322 0 0 15.755 4.218 16.046 3.577 1900 11 5.062 -0.193 0 0 4.958 -0.296 6.185 -0.002 1900 12 -0.321 -0.046 0 0 -0.425 -0.149 0.259 -0.398 1901 1 -2.277 0.516 0 0 -2.380 0.413 -1.211 0.649 1901 2 -6.058 -4.874 0 0 -6.161 -4.977 -4.984 -4.733 1901 3 4.071 -0.209 0 0 3.967 -0.312 5.335 0.122 1901 4 8.726 -1.756 0 0 8.623 -1.859 8.753 -2.662 1901 5 14.765 -1.259 0 0 14.662 -1.363 15.550 -1.407 1901 6 21.598 0.994 0 0 21.495 0.891 22.300 0.764 1901 7 25.792 3.203 0 0 25.689 3.100 25.740 2.219 1901 8 22.822 0.997 0 0 22.719 0.894 22.941 0.183 1901 9 18.722 0.431 0 0 18.618 0.328 18.786 -0.437 1901 10 NaN NaN NaN NaN NaN NaN 12.440 -0.029 1901 11 NaN NaN NaN NaN NaN NaN 3.675 -2.512 1901 12 NaN NaN NaN NaN NaN NaN -1.926 -2.583 1902 1 NaN NaN NaN NaN NaN NaN -2.660 -0.800 1902 2 NaN NaN NaN NaN NaN NaN -5.639 -5.388 1902 3 NaN NaN NaN NaN NaN NaN 5.996 0.783 1902 4 NaN NaN NaN NaN NaN NaN 9.998 -1.416 1902 5 NaN NaN NaN NaN NaN NaN 18.239 1.282 1902 6 NaN NaN NaN NaN NaN NaN 20.356 -1.180 1902 7 NaN NaN NaN NaN NaN NaN 23.494 -0.028 1902 8 NaN NaN NaN NaN NaN NaN 21.308 -1.450 1902 9 NaN NaN NaN NaN NaN NaN 18.403 -0.820