% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37075 % Primary Name: ROME % Record Type: TAVG % Country: United States % State: OH % Latitude: 41.60000 +/- 0.00005 % Longitude: -80.88330 +/- 0.00005 % Elevation (m): 270.66 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 337231 % % IDs: coop - 337231 % ghcnd - USC00337231 % ncdc - 12004042 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: efbff914207df5f011ef7576fc14c81f % Raw Data Hash: 59fb390e3944b485d85f48adf3e68d5c % Adj Data Hash: 807432276d33bfc2aaca3e751386bff6 % % 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 1906 3 NaN NaN NaN NaN NaN NaN -0.878 -3.829 1906 4 NaN NaN NaN NaN NaN NaN 9.691 0.382 1906 5 NaN NaN NaN NaN NaN NaN 14.975 -0.121 1906 6 NaN NaN NaN NaN NaN NaN 20.318 0.296 1906 7 NaN NaN NaN NaN NaN NaN 21.421 -0.739 1906 8 NaN NaN NaN NaN NaN NaN 22.894 1.463 1906 9 NaN NaN NaN NaN NaN NaN 19.822 2.042 1906 10 NaN NaN NaN NaN NaN NaN 10.615 -0.605 1906 11 NaN NaN NaN NaN NaN NaN 5.142 0.001 1906 12 NaN NaN NaN NaN NaN NaN -0.944 -0.064 1907 1 NaN NaN NaN NaN NaN NaN -1.801 1.802 1907 2 NaN NaN NaN NaN NaN NaN -5.557 -3.188 1907 3 4.338 2.116 0 0 4.338 2.116 6.048 3.097 1907 4 5.097 -3.483 0 0 5.097 -3.483 5.418 -3.891 1907 5 NaN NaN NaN NaN NaN NaN 11.351 -3.745 1907 6 NaN NaN NaN NaN NaN NaN 17.701 -2.321 1907 7 20.256 -1.175 0 0 20.256 -1.175 21.259 -0.901 1907 8 18.974 -1.727 0 0 18.974 -1.727 19.565 -1.865 1907 9 NaN NaN NaN NaN NaN NaN 18.277 0.498 1907 10 8.291 -2.200 0 0 8.291 -2.200 8.482 -2.739 1907 11 NaN NaN NaN NaN NaN NaN 3.724 -1.416 1907 12 -1.147 0.462 0 0 -1.147 0.462 -0.489 0.391 1908 1 -3.435 0.898 0 0 -3.435 0.898 -3.363 0.241 1908 2 -5.434 -2.336 0 0 -5.434 -2.336 -4.426 -2.057 1908 3 4.000 1.778 0 0 4.000 1.778 5.264 2.313 1908 4 7.779 -0.801 0 0 7.779 -0.801 9.578 0.269 1908 5 15.518 1.151 0 0 15.518 1.151 16.015 0.919 1908 6 19.595 0.303 0 0 19.595 0.303 20.122 0.101 1908 7 22.149 0.718 1 0 NaN NaN 22.463 0.303 1908 8 19.885 -0.816 0 0 19.885 -0.816 20.504 -0.927 1908 9 18.348 1.298 1 0 NaN NaN 19.389 1.610 1908 10 11.620 1.128 0 0 11.620 1.128 11.978 0.757 1908 11 4.159 -0.252 0 0 4.159 -0.252 5.162 0.022 1908 12 -0.756 0.852 0 0 -0.756 0.852 -0.709 0.170 1909 1 -1.173 3.160 0 0 -1.173 3.160 -1.130 2.474 1909 2 -0.934 2.164 0 0 -0.934 2.164 -0.031 2.338 1909 3 0.665 -1.557 0 0 0.665 -1.557 1.555 -1.397 1909 4 7.647 -0.933 0 0 7.647 -0.933 8.800 -0.509 1909 5 13.723 -0.644 0 0 13.723 -0.644 14.078 -1.018 1909 6 19.123 -0.169 0 0 19.123 -0.169 20.142 0.121 1909 7 19.348 -2.082 0 0 19.348 -2.082 20.509 -1.651 1909 8 20.084 -0.618 0 0 20.084 -0.618 20.954 -0.476 1909 9 15.575 -1.475 0 0 15.575 -1.475 16.959 -0.820 1909 10 NaN NaN NaN NaN NaN NaN 8.541 -2.680 1909 11 7.423 3.012 0 0 7.423 3.012 8.762 3.622 1909 12 -3.383 -1.774 0 0 -3.383 -1.774 -4.480 -3.600 1910 1 NaN NaN NaN NaN NaN NaN -3.920 -0.316 1910 2 NaN NaN NaN NaN NaN NaN -5.296 -2.927 1910 3 NaN NaN NaN NaN NaN NaN 7.817 4.865 1910 4 NaN NaN NaN NaN NaN NaN 10.275 0.966 1910 5 NaN NaN NaN NaN NaN NaN 12.609 -2.487 1910 6 NaN NaN NaN NaN NaN NaN 18.108 -1.913 1910 7 NaN NaN NaN NaN NaN NaN 22.352 0.192 1910 8 NaN NaN NaN NaN NaN NaN 21.164 -0.267 1910 9 NaN NaN NaN NaN NaN NaN 18.463 0.684 1910 10 NaN NaN NaN NaN NaN NaN 12.761 1.540 1910 11 NaN NaN NaN NaN NaN NaN 2.160 -2.980 1910 12 NaN NaN NaN NaN NaN NaN -4.676 -3.797