% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30472 % Primary Name: TERRA CEIA % Record Type: TAVG % Country: United States % State: NC % Latitude: 35.58330 +/- 0.00005 % Longitude: -75.80000 +/- 0.00005 % Elevation (m): 4.57 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 318547 % % IDs: coop - 318547 % ghcnd - USC00318547 % ncdc - 12003932 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: eb79f9b363ac47ed69a7d6587341d7a2 % Raw Data Hash: 8fe2626d155dbb2eb0756d1dfc88ae4d % Adj Data Hash: 05294bb8b3d8f7d861e56d16c0f8440b % % 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 1924 3 NaN NaN NaN NaN NaN NaN 8.369 -1.337 1924 4 NaN NaN NaN NaN NaN NaN 13.051 -1.158 1924 5 NaN NaN NaN NaN NaN NaN 17.771 -0.864 1924 6 NaN NaN NaN NaN NaN NaN 22.587 -0.205 1924 7 NaN NaN NaN NaN NaN NaN 23.954 -1.338 1924 8 NaN NaN NaN NaN NaN NaN 24.915 -0.412 1924 9 NaN NaN NaN NaN NaN NaN 21.414 -1.580 1924 10 NaN NaN NaN NaN NaN NaN 16.539 -1.104 1924 11 NaN NaN NaN NaN NaN NaN 13.197 0.345 1924 12 NaN NaN NaN NaN NaN NaN 8.391 0.167 1925 1 NaN NaN NaN NaN NaN NaN 6.235 -0.049 1925 2 NaN NaN NaN NaN NaN NaN 9.530 3.006 1925 3 12.126 2.395 0 0 12.126 2.395 11.036 1.330 1925 4 16.345 2.112 0 0 16.345 2.112 15.380 1.171 1925 5 18.113 -0.546 0 0 18.113 -0.546 16.988 -1.647 1925 6 25.150 2.333 0 0 25.150 2.333 24.515 1.722 1925 7 26.031 0.714 0 0 26.031 0.714 25.632 0.340 1925 8 23.903 -1.449 0 0 23.903 -1.449 24.026 -1.301 1925 9 24.242 1.224 0 0 24.242 1.224 24.989 1.995 1925 10 15.616 -2.051 0 0 15.616 -2.051 16.295 -1.348 1925 11 9.258 -3.618 0 0 9.258 -3.618 12.090 -0.762 1925 12 6.430 -1.819 0 0 6.430 -1.819 7.132 -1.093 1926 1 5.273 -1.036 0 0 5.273 -1.036 6.128 -0.156 1926 2 NaN NaN NaN NaN NaN NaN 7.322 0.798 1926 3 7.408 -2.322 0 0 7.408 -2.322 7.119 -2.587 1926 4 NaN NaN NaN NaN NaN NaN 12.858 -1.351 1926 5 19.960 1.300 0 0 19.960 1.300 17.797 -0.838 1926 6 23.423 0.606 0 0 23.423 0.606 21.801 -0.991 1926 7 27.500 2.183 0 0 27.500 2.183 25.515 0.222 1926 8 NaN NaN NaN NaN NaN NaN 26.337 1.009 1926 9 23.828 0.811 0 0 23.828 0.811 23.831 0.837 1926 10 NaN NaN NaN NaN NaN NaN 18.050 0.407 1926 11 9.920 -2.957 0 0 9.920 -2.957 12.302 -0.550 1926 12 6.756 -1.492 0 0 6.756 -1.492 7.342 -0.882 1927 1 5.067 -1.242 0 0 5.067 -1.242 5.692 -0.592 1927 2 11.700 5.152 0 0 11.700 5.152 10.039 3.515 1927 3 11.002 1.271 0 0 11.002 1.271 10.438 0.731 1927 4 NaN NaN NaN NaN NaN NaN 12.904 -1.305 1927 5 20.500 1.840 1 0 NaN NaN 18.579 -0.056 1927 6 23.123 0.306 0 0 23.123 0.306 20.721 -2.071 1927 7 23.855 -1.462 0 0 23.855 -1.462 24.217 -1.075 1927 8 23.779 -1.573 0 0 23.779 -1.573 23.139 -2.189 1927 9 22.308 -0.710 0 0 22.308 -0.710 23.069 0.076 1927 10 17.768 0.100 0 0 17.768 0.100 18.503 0.860 1927 11 11.957 -0.920 0 0 11.957 -0.920 14.651 1.799 1927 12 7.802 -0.447 0 0 7.802 -0.447 8.570 0.345 1928 1 NaN NaN NaN NaN NaN NaN 6.522 0.237 1928 2 NaN NaN NaN NaN NaN NaN 6.648 0.124 1928 3 NaN NaN NaN NaN NaN NaN 9.703 -0.003 1928 4 NaN NaN NaN NaN NaN NaN 13.177 -1.031 1928 5 NaN NaN NaN NaN NaN NaN 16.863 -1.772 1928 6 NaN NaN NaN NaN NaN NaN 22.682 -0.110 1928 7 NaN NaN NaN NaN NaN NaN 25.184 -0.109 1928 8 NaN NaN NaN NaN NaN NaN 25.973 0.646 1928 9 NaN NaN NaN NaN NaN NaN 21.805 -1.188 1928 10 NaN NaN NaN NaN NaN NaN 18.533 0.890 1928 11 NaN NaN NaN NaN NaN NaN 13.220 0.368 1928 12 NaN NaN NaN NaN NaN NaN 7.961 -0.263