% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29416 % Primary Name: TATE % Record Type: TAVG % Country: United States % State: GA % Latitude: 34.41670 +/- 0.00005 % Longitude: -84.38330 +/- 0.00005 % Elevation (m): 403.86 +/- 0.15 % # of Months: 23 % % Alternate Names: Missing Station ID - 98575 % % IDs: coop - 98575 % ghcnd - USC00098575 % ncdc - 12001516 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: df1ae4fbfc4f4e3232a53e5ba60d11b2 % Raw Data Hash: d18ca8caee69720c4c6b506fa42aa9a1 % Adj Data Hash: 01b0d50d5a80a7af1d36a7adfdd38a2c % % 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 1916 5 NaN NaN NaN NaN NaN NaN 20.473 1.444 1916 6 NaN NaN NaN NaN NaN NaN 21.874 -0.714 1916 7 NaN NaN NaN NaN NaN NaN 23.460 -0.920 1916 8 NaN NaN NaN NaN NaN NaN 24.259 0.176 1916 9 NaN NaN NaN NaN NaN NaN 20.347 -0.666 1916 10 NaN NaN NaN NaN NaN NaN 14.793 -0.027 1916 11 NaN NaN NaN NaN NaN NaN 10.006 0.398 1916 12 NaN NaN NaN NaN NaN NaN 4.842 -0.554 1917 1 NaN NaN NaN NaN NaN NaN 6.589 2.469 1917 2 NaN NaN NaN NaN NaN NaN 4.654 -0.976 1917 3 NaN NaN NaN NaN NaN NaN 9.825 0.065 1917 4 NaN NaN NaN NaN NaN NaN 15.986 1.165 1917 5 15.153 -3.762 0 0 15.153 -3.762 15.778 -3.251 1917 6 21.145 -1.330 0 0 21.145 -1.330 21.772 -0.816 1917 7 NaN NaN NaN NaN NaN NaN 23.950 -0.430 1917 8 NaN NaN NaN NaN NaN NaN 23.044 -1.039 1917 9 19.424 -1.476 0 0 19.424 -1.476 20.039 -0.974 1917 10 NaN NaN NaN NaN NaN NaN 11.674 -3.146 1917 11 8.584 -0.911 1 0 NaN NaN 8.641 -0.967 1917 12 1.427 -3.856 1 0 NaN NaN 0.464 -4.933 1918 1 0.143 -3.864 0 0 0.143 -3.864 -0.734 -4.855 1918 2 NaN NaN NaN NaN NaN NaN 7.869 2.239 1918 3 13.648 4.001 0 0 13.648 4.001 13.086 3.326 1918 4 13.421 -1.287 1 0 NaN NaN 13.486 -1.335 1918 5 19.698 0.782 1 0 NaN NaN 19.947 0.918 1918 6 NaN NaN NaN NaN NaN NaN 22.852 0.264 1918 7 22.209 -2.058 1 0 NaN NaN 22.647 -1.733 1918 8 NaN NaN NaN NaN NaN NaN 24.524 0.441 1918 9 14.264 -6.635 1 0 NaN NaN 18.621 -2.392 1918 10 16.254 1.546 1 0 NaN NaN 16.738 1.918 1918 11 10.202 0.707 1 0 NaN NaN 9.549 -0.059 1918 12 7.528 2.245 1 0 NaN NaN 7.653 2.257 1919 1 5.586 1.578 1 0 NaN NaN 4.537 0.416 1919 2 5.510 -0.008 0 0 5.510 -0.008 4.732 -0.898 1919 3 9.432 -0.215 1 0 NaN NaN 10.657 0.897 1919 4 14.444 -0.264 1 0 NaN NaN 15.044 0.223 1919 5 18.190 -0.725 1 0 NaN NaN 18.598 -0.431 1919 6 NaN NaN NaN NaN NaN NaN 23.071 0.483 1919 7 23.931 -0.336 1 0 NaN NaN 24.022 -0.358 1919 8 NaN NaN NaN NaN NaN NaN 23.659 -0.424 1919 9 NaN NaN NaN NaN NaN NaN 21.354 0.341 1919 10 NaN NaN NaN NaN NaN NaN 19.603 4.782 1919 11 NaN NaN NaN NaN NaN NaN 11.079 1.471 1919 12 NaN NaN NaN NaN NaN NaN 5.379 -0.017 1920 1 4.519 0.512 1 0 NaN NaN 4.640 0.519 1920 2 5.844 0.327 1 0 NaN NaN 3.708 -1.922 1920 3 NaN NaN NaN NaN NaN NaN 8.177 -1.583 1920 4 NaN NaN NaN NaN NaN NaN 13.680 -1.140 1920 5 16.545 -2.370 0 2 16.545 -2.370 17.686 -1.342 1920 6 NaN NaN NaN NaN NaN NaN 22.500 -0.088 1920 7 NaN NaN NaN NaN NaN NaN 23.542 -0.838 1920 8 NaN NaN NaN NaN NaN NaN 22.767 -1.316 1920 9 NaN NaN NaN NaN NaN NaN 21.862 0.849 1920 10 NaN NaN NaN NaN NaN NaN 14.978 0.158 1920 11 NaN NaN NaN NaN NaN NaN 8.754 -0.854 1920 12 NaN NaN NaN NaN NaN NaN 4.688 -0.708 1921 1 NaN NaN NaN NaN NaN NaN 5.722 1.601 1921 2 NaN NaN NaN NaN NaN NaN 6.792 1.161 1921 3 NaN NaN NaN NaN NaN NaN 14.537 4.777 1921 4 NaN NaN NaN NaN NaN NaN 14.877 0.056 1921 5 NaN NaN NaN NaN NaN NaN 17.907 -1.122