% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36941 % Primary Name: CLEVELAND CARROLL UNIV % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.48330 +/- 0.00005 % Longitude: -81.70000 +/- 0.00005 % Elevation (m): 229.82 +/- 0.15 % # of Months: 80 % % Alternate Names: Missing Station ID - 331644 % % IDs: coop - 331644 % ghcnd - USC00331644 % ncdc - 30002550 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c3b3d58095d6dd2441da95ce9e9bcfe1 % Raw Data Hash: 5c2316e4d9fa995a96d2f7e5ebf1b62a % Adj Data Hash: b07af1bec972fc768d143d8de9408b08 % % 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 1923 1 NaN NaN NaN NaN NaN NaN -1.982 1.622 1923 2 NaN NaN NaN NaN NaN NaN -5.051 -2.682 1923 3 NaN NaN NaN NaN NaN NaN 2.165 -0.786 1923 4 NaN NaN NaN NaN NaN NaN 8.119 -1.190 1923 5 NaN NaN NaN NaN NaN NaN 13.343 -1.753 1923 6 NaN NaN NaN NaN NaN NaN 20.685 0.663 1923 7 NaN NaN NaN NaN NaN NaN 21.194 -0.966 1923 8 NaN NaN NaN NaN NaN NaN 20.159 -1.271 1923 9 NaN NaN NaN NaN NaN NaN 18.089 0.310 1923 10 NaN NaN NaN NaN NaN NaN 9.748 -1.472 1923 11 NaN NaN NaN NaN NaN NaN 5.004 -0.136 1923 12 NaN NaN NaN NaN NaN NaN 3.856 4.736 1924 1 -4.121 -1.039 0 0 -4.121 -1.039 -4.909 -1.305 1924 2 -2.931 -1.084 0 0 -2.931 -1.084 -4.077 -1.709 1924 3 1.098 -2.375 0 0 1.098 -2.375 1.627 -1.324 1924 4 8.147 -1.684 0 0 8.147 -1.684 8.442 -0.867 1924 5 11.666 -3.952 0 0 11.666 -3.952 11.485 -3.611 1924 6 18.885 -1.658 0 0 18.885 -1.658 18.806 -1.216 1924 7 20.813 -1.869 0 0 20.813 -1.869 20.226 -1.934 1924 8 21.473 -0.480 0 0 21.473 -0.480 20.796 -0.634 1924 9 15.868 -2.433 0 0 15.868 -2.433 15.534 -2.245 1924 10 12.727 0.985 0 0 12.727 0.985 11.699 0.478 1924 11 4.885 -0.777 0 0 4.885 -0.777 4.848 -0.292 1924 12 -2.313 -1.956 0 0 -2.313 -1.956 -2.972 -2.092 1925 1 -3.544 -0.462 0 0 -3.544 -0.462 -4.616 -1.012 1925 2 1.429 3.275 0 0 1.429 3.275 0.426 2.795 1925 3 4.182 0.708 0 0 4.182 0.708 4.198 1.247 1925 4 10.625 0.794 0 0 10.625 0.794 10.949 1.640 1925 5 12.208 -3.410 0 0 12.208 -3.410 11.708 -3.388 1925 6 22.275 1.732 0 0 22.275 1.732 21.651 1.629 1925 7 21.865 -0.817 0 0 21.865 -0.817 20.988 -1.172 1925 8 21.647 -0.306 0 0 21.647 -0.306 21.050 -0.381 1925 9 19.722 1.421 0 0 19.722 1.421 19.880 2.101 1925 10 7.326 -4.417 0 0 7.326 -4.417 6.870 -4.351 1925 11 4.183 -1.479 0 0 4.183 -1.479 3.685 -1.455 1925 12 -1.439 -1.081 0 0 -1.439 -1.081 -2.566 -1.687 1926 1 -2.324 0.758 0 0 -2.324 0.758 -4.160 -0.557 1926 2 -1.805 0.041 0 0 -1.805 0.041 -2.583 -0.214 1926 3 -0.387 -3.860 0 0 -0.387 -3.860 -0.118 -3.069 1926 4 5.265 -4.566 0 0 5.265 -4.566 6.044 -3.265 1926 5 14.160 -1.458 0 0 14.160 -1.458 14.107 -0.989 1926 6 18.228 -2.315 0 0 18.228 -2.315 17.815 -2.206 1926 7 21.997 -0.685 0 0 21.997 -0.685 21.412 -0.748 1926 8 22.521 0.568 0 0 22.521 0.568 22.258 0.827 1926 9 18.217 -0.084 0 0 18.217 -0.084 18.542 0.763 1926 10 11.187 -0.556 0 0 11.187 -0.556 10.833 -0.387 1926 11 4.707 -0.956 0 0 4.707 -0.956 4.477 -0.664 1926 12 -1.870 -1.512 0 0 -1.870 -1.512 -2.846 -1.967 1927 1 -3.008 0.074 0 0 -3.008 0.074 -4.014 -0.410 1927 2 1.043 2.890 0 0 1.043 2.890 0.442 2.811 1927 3 4.805 1.332 0 0 4.805 1.332 5.057 2.106 1927 4 10.067 0.236 1 0 NaN NaN 8.964 -0.344 1927 5 12.215 -3.403 1 0 NaN NaN 14.263 -0.833 1927 6 17.698 -2.845 0 0 17.698 -2.845 16.840 -3.181 1927 7 21.561 -1.121 1 0 NaN NaN 21.352 -0.808 1927 8 NaN NaN NaN NaN NaN NaN 17.962 -3.469 1927 9 18.457 0.156 1 0 NaN NaN 18.923 1.144 1927 10 13.881 2.138 0 0 13.881 2.138 12.932 1.711 1927 11 NaN NaN NaN NaN NaN NaN 7.661 2.521 1927 12 0.421 0.778 0 0 0.421 0.778 -1.014 -0.134 1928 1 -1.697 1.385 0 0 -1.697 1.385 -3.083 0.521 1928 2 -1.552 0.295 0 0 -1.552 0.295 -2.099 0.269 1928 3 2.734 -0.740 1 0 NaN NaN 2.261 -0.690 1928 4 6.842 -2.989 0 0 6.842 -2.989 7.067 -2.241 1928 5 14.169 -1.449 0 0 14.169 -1.449 13.442 -1.654 1928 6 17.943 -2.600 0 0 17.943 -2.600 17.658 -2.364 1928 7 23.019 0.337 0 0 23.019 0.337 22.069 -0.091 1928 8 NaN NaN NaN NaN NaN NaN 22.399 0.968 1928 9 16.343 -1.958 0 0 16.343 -1.958 15.665 -2.114 1928 10 13.906 2.164 0 0 13.906 2.164 12.906 1.685 1928 11 NaN NaN NaN NaN NaN NaN 5.986 0.846 1928 12 1.797 2.154 0 0 1.797 2.154 0.441 1.321 1929 1 -3.763 -0.681 0 0 -3.763 -0.681 -4.917 -1.313 1929 2 -3.932 -2.085 0 0 -3.932 -2.085 -4.866 -2.497 1929 3 6.020 2.547 0 0 6.020 2.547 6.459 3.508 1929 4 10.382 0.551 0 0 10.382 0.551 10.609 1.300 1929 5 13.547 -2.070 0 0 13.547 -2.070 13.563 -1.533 1929 6 18.973 -1.570 0 0 18.973 -1.570 18.699 -1.323 1929 7 22.853 0.171 0 0 22.853 0.171 21.536 -0.624 1929 8 19.666 -2.287 0 0 19.666 -2.287 18.743 -2.688 1929 9 18.492 0.191 0 0 18.492 0.191 18.343 0.564 1929 10 10.684 -1.059 0 0 10.684 -1.059 10.068 -1.152 1929 11 3.483 -2.179 0 0 3.483 -2.179 3.818 -1.323 1929 12 -0.434 -0.076 0 0 -0.434 -0.076 -1.091 -0.212 1930 1 -2.831 0.251 0 0 -2.831 0.251 -3.504 0.099 1930 2 2.280 4.127 0 0 2.280 4.127 1.452 3.821 1930 3 2.084 -1.389 0 0 2.084 -1.389 2.277 -0.675 1930 4 8.909 -0.922 1 0 NaN NaN 9.713 0.404 1930 5 16.877 1.259 0 0 16.877 1.259 15.716 0.620 1930 6 20.940 0.396 0 0 20.940 0.396 19.947 -0.075 1930 7 22.776 0.094 0 0 22.776 0.094 22.338 0.178 1930 8 21.437 -0.516 0 0 21.437 -0.516 20.686 -0.745 1930 9 19.139 0.838 0 0 19.139 0.838 19.279 1.500 1930 10 10.268 -1.475 0 0 10.268 -1.475 9.631 -1.590 1930 11 6.528 0.865 0 0 6.528 0.865 5.531 0.390 1930 12 -0.687 -0.329 0 0 -0.687 -0.329 -1.794 -0.914 1931 1 NaN NaN NaN NaN NaN NaN -2.066 1.538 1931 2 NaN NaN NaN NaN NaN NaN -0.675 1.694 1931 3 NaN NaN NaN NaN NaN NaN 1.355 -1.596 1931 4 NaN NaN NaN NaN NaN NaN 8.826 -0.483 1931 5 NaN NaN NaN NaN NaN NaN 14.048 -1.048 1931 6 NaN NaN NaN NaN NaN NaN 19.940 -0.082 1931 7 NaN NaN NaN NaN NaN NaN 23.871 1.712 1931 8 NaN NaN NaN NaN NaN NaN 21.715 0.284 1931 9 NaN NaN NaN NaN NaN NaN 20.478 2.699 1931 10 NaN NaN NaN NaN NaN NaN 12.898 1.677 1931 11 NaN NaN NaN NaN NaN NaN 9.612 4.472 1931 12 NaN NaN NaN NaN NaN NaN 3.060 3.940