% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37457 % Primary Name: KINGSVILLE % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.90000 +/- 0.00005 % Longitude: -80.71670 +/- 0.00005 % Elevation (m): 213.36 +/- 0.15 % # of Months: 28 % % Alternate Names: Missing Station ID - 334242 % % IDs: coop - 334242 % ghcnd - USC00334242 % ncdc - 30002556 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 429c4b926418f1c81c1d6da85c99f2b5 % Raw Data Hash: 2bbf0424fd945e13ee05f51a6221b5e4 % Adj Data Hash: b0cfd5e501a967be31fa20ca7e05f6a5 % % 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 1913 10 NaN NaN NaN NaN NaN NaN 11.140 0.618 1913 11 NaN NaN NaN NaN NaN NaN 6.520 1.681 1913 12 NaN NaN NaN NaN NaN NaN 0.537 1.918 1914 1 NaN NaN NaN NaN NaN NaN -2.608 2.030 1914 2 NaN NaN NaN NaN NaN NaN -9.313 -4.898 1914 3 NaN NaN NaN NaN NaN NaN -0.701 -0.932 1914 4 NaN NaN NaN NaN NaN NaN 5.822 -0.885 1914 5 NaN NaN NaN NaN NaN NaN 13.365 0.767 1914 6 NaN NaN NaN NaN NaN NaN 17.416 -0.353 1914 7 NaN NaN NaN NaN NaN NaN 20.091 -0.142 1914 8 NaN NaN NaN NaN NaN NaN 19.711 -0.028 1914 9 NaN NaN NaN NaN NaN NaN 15.599 -0.718 1914 10 14.035 1.842 0 0 14.035 1.842 12.357 1.835 1914 11 4.626 -1.884 1 0 NaN NaN 4.625 -0.215 1914 12 -2.115 -2.404 1 0 NaN NaN -3.796 -2.414 1915 1 -3.840 -0.874 0 0 -3.840 -0.874 -5.496 -0.858 1915 2 -0.437 2.307 0 0 -0.437 2.307 -2.614 1.801 1915 3 -0.655 -2.556 0 0 -0.655 -2.556 -1.794 -2.025 1915 4 9.770 1.393 0 0 9.770 1.393 9.587 2.881 1915 5 11.921 -2.348 0 0 11.921 -2.348 10.187 -2.411 1915 6 17.330 -2.109 0 0 17.330 -2.109 15.836 -1.932 1915 7 20.324 -1.581 1 0 NaN NaN 18.917 -1.316 1915 8 19.688 -1.722 0 0 19.688 -1.722 17.914 -1.825 1915 9 18.178 0.191 1 0 NaN NaN 17.554 1.238 1915 10 12.322 0.129 1 0 NaN NaN 11.212 0.690 1915 11 NaN NaN NaN NaN NaN NaN 5.937 1.098 1915 12 -2.637 -2.927 1 0 NaN NaN -2.429 -1.047 1916 1 -1.019 1.948 1 0 NaN NaN -0.898 3.740 1916 2 NaN NaN NaN NaN NaN NaN -7.417 -3.002 1916 3 -3.109 -5.011 1 0 NaN NaN -3.914 -4.145 1916 4 7.833 -0.545 1 0 NaN NaN 6.693 -0.014 1916 5 14.474 0.206 0 0 14.474 0.206 12.060 -0.538 1916 6 17.663 -1.777 0 0 17.663 -1.777 15.248 -2.521 1916 7 24.450 2.546 0 0 24.450 2.546 22.756 2.523 1916 8 22.855 1.445 0 0 22.855 1.445 21.006 1.267 1916 9 17.207 -0.780 0 0 17.207 -0.780 15.985 -0.331 1916 10 11.077 -1.116 0 0 11.077 -1.116 10.136 -0.386 1916 11 8.228 1.718 1 0 NaN NaN 4.754 -0.085 1916 12 -4.339 -4.629 1 0 NaN NaN -2.925 -1.543 1917 1 -5.513 -2.546 1 0 NaN NaN -5.540 -0.903 1917 2 -6.491 -3.747 0 0 -6.491 -3.747 -8.557 -4.142 1917 3 2.835 0.934 0 0 2.835 0.934 0.534 0.304 1917 4 NaN NaN NaN NaN NaN NaN 5.332 -1.375 1917 5 NaN NaN NaN NaN NaN NaN 8.340 -4.258 1917 6 NaN NaN NaN NaN NaN NaN 15.735 -2.033 1917 7 NaN NaN NaN NaN NaN NaN 19.988 -0.245 1917 8 NaN NaN NaN NaN NaN NaN 18.989 -0.750 1917 9 NaN NaN NaN NaN NaN NaN 14.472 -1.844 1917 10 NaN NaN NaN NaN NaN NaN 6.836 -3.686 1917 11 NaN NaN NaN NaN NaN NaN 2.493 -2.346 1917 12 NaN NaN NaN NaN NaN NaN -6.552 -5.170 1918 1 NaN NaN NaN NaN NaN NaN -11.140 -6.502 1918 2 NaN NaN NaN NaN NaN NaN -5.891 -1.476 1918 3 NaN NaN NaN NaN NaN NaN 1.749 1.518