% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30393 % Primary Name: MIDDLETON % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.50000 +/- 0.00005 % Longitude: -76.01670 +/- 0.00005 % Elevation (m): 0.61 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 315600 % % IDs: coop - 315600 % ghcnd - USC00315600 % ncdc - 12003905 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f78e678c30ef54f5cf6a6e442bac04f3 % Raw Data Hash: 8a42da61f7446e247c6668d5f8f528a7 % Adj Data Hash: 158992290379e8f612d0ae85f05f16d0 % % 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 1910 4 NaN NaN NaN NaN NaN NaN 15.330 1.122 1910 5 NaN NaN NaN NaN NaN NaN 17.455 -1.180 1910 6 NaN NaN NaN NaN NaN NaN 21.427 -1.365 1910 7 NaN NaN NaN NaN NaN NaN 25.049 -0.243 1910 8 NaN NaN NaN NaN NaN NaN 24.282 -1.046 1910 9 NaN NaN NaN NaN NaN NaN 23.700 0.707 1910 10 NaN NaN NaN NaN NaN NaN 18.861 1.218 1910 11 NaN NaN NaN NaN NaN NaN 9.839 -3.013 1910 12 NaN NaN NaN NaN NaN NaN 4.550 -3.674 1911 1 NaN NaN NaN NaN NaN NaN 8.491 2.207 1911 2 NaN NaN NaN NaN NaN NaN 6.999 0.475 1911 3 NaN NaN NaN NaN NaN NaN 8.443 -1.263 1911 4 13.246 -1.537 0 0 13.246 -1.537 12.435 -1.774 1911 5 20.061 0.852 0 0 20.061 0.852 19.335 0.700 1911 6 24.413 1.047 0 0 24.413 1.047 23.342 0.549 1911 7 25.838 -0.028 0 0 25.838 -0.028 25.661 0.369 1911 8 25.866 -0.036 0 0 25.866 -0.036 25.804 0.476 1911 9 23.845 0.278 1 0 NaN NaN 24.582 1.589 1911 10 18.587 0.370 0 0 18.587 0.370 18.138 0.495 1911 11 11.388 -2.038 0 0 11.388 -2.038 12.107 -0.745 1911 12 NaN NaN NaN NaN NaN NaN 10.052 1.827 1912 1 4.058 -2.800 0 0 4.058 -2.800 2.820 -3.464 1912 2 4.419 -2.679 0 0 4.419 -2.679 3.580 -2.944 1912 3 10.050 -0.230 0 0 10.050 -0.230 9.045 -0.661 1912 4 16.704 1.921 0 0 16.704 1.921 16.009 1.800 1912 5 20.181 0.972 0 0 20.181 0.972 19.329 0.694 1912 6 23.261 -0.106 0 0 23.261 -0.106 22.105 -0.688 1912 7 25.020 -0.846 0 0 25.020 -0.846 24.947 -0.346 1912 8 25.028 -0.874 1 0 NaN NaN 25.000 -0.328 1912 9 24.121 0.553 1 0 NaN NaN 24.592 1.599 1912 10 17.512 -0.705 0 0 17.512 -0.705 18.245 0.601 1912 11 10.828 -2.598 1 0 NaN NaN 12.715 -0.137 1912 12 8.848 0.050 1 0 NaN NaN 9.701 1.476 1913 1 NaN NaN NaN NaN NaN NaN 11.770 5.485 1913 2 7.794 0.696 1 0 NaN NaN 6.391 -0.133 1913 3 12.530 2.250 0 0 12.530 2.250 12.682 2.976 1913 4 16.223 1.440 1 0 NaN NaN 14.406 0.197 1913 5 20.979 1.770 0 0 20.979 1.770 18.774 0.139 1913 6 NaN NaN NaN NaN NaN NaN 22.086 -0.707 1913 7 26.488 0.622 1 0 NaN NaN 25.433 0.141 1913 8 24.545 -1.357 1 0 NaN NaN 24.428 -0.900 1913 9 NaN NaN NaN NaN NaN NaN 22.520 -0.474 1913 10 NaN NaN NaN NaN NaN NaN 17.980 0.337 1913 11 NaN NaN NaN NaN NaN NaN 13.064 0.212 1913 12 NaN NaN NaN NaN NaN NaN 8.937 0.712 1914 1 NaN NaN NaN NaN NaN NaN 7.847 1.562 1914 2 NaN NaN NaN NaN NaN NaN 4.472 -2.052 1914 3 NaN NaN NaN NaN NaN NaN 6.614 -3.093 1914 4 NaN NaN NaN NaN NaN NaN 13.721 -0.488 1914 5 NaN NaN NaN NaN NaN NaN 18.942 0.307 1914 6 NaN NaN NaN NaN NaN NaN 23.295 0.502 1914 7 NaN NaN NaN NaN NaN NaN 24.507 -0.785 1914 8 NaN NaN NaN NaN NaN NaN 25.612 0.285