% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43091 % Primary Name: THANE BEACH % Record Type: TAVG % Country: United States % State: AK % Latitude: 56.25000 +/- 0.00500 % Longitude: -134.35000 +/- 0.00500 % Elevation (m): 6.10 +/- 0.15 % # of Months: 35 % % Alternate Names: Missing Station ID - 509134 % % IDs: coop - 509134 % ghcnd - USC00509134 % ncdc - 30015313 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 82f90e37e1a39b6ffe7596aaab4bb369 % Raw Data Hash: 6070cce23b9976f21ecca614e23d7234 % Adj Data Hash: c768f3593562c55f6b65e37594becdbc % % 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 1 NaN NaN NaN NaN NaN NaN -9.918 -6.806 1916 2 NaN NaN NaN NaN NaN NaN -0.370 0.127 1916 3 NaN NaN NaN NaN NaN NaN -1.377 -2.155 1916 4 NaN NaN NaN NaN NaN NaN 4.420 0.817 1916 5 NaN NaN NaN NaN NaN NaN 6.478 -0.616 1916 6 NaN NaN NaN NaN NaN NaN 9.954 -0.276 1916 7 NaN NaN NaN NaN NaN NaN 11.244 -0.939 1916 8 NaN NaN NaN NaN NaN NaN 11.806 -0.217 1916 9 NaN NaN NaN NaN NaN NaN 8.763 -0.679 1916 10 NaN NaN NaN NaN NaN NaN 5.823 0.436 1916 11 NaN NaN NaN NaN NaN NaN 1.552 0.206 1916 12 NaN NaN NaN NaN NaN NaN -3.033 -1.591 1917 1 -3.666 -1.938 0 0 -3.666 -1.938 -5.871 -2.759 1917 2 NaN NaN NaN NaN NaN NaN -2.420 -1.923 1917 3 NaN NaN NaN NaN NaN NaN -0.310 -1.087 1917 4 5.647 0.659 0 0 5.647 0.659 3.821 0.217 1917 5 NaN NaN NaN NaN NaN NaN 6.490 -0.604 1917 6 NaN NaN NaN NaN NaN NaN 9.078 -1.151 1917 7 9.639 -3.930 0 0 9.639 -3.930 10.272 -1.912 1917 8 NaN NaN NaN NaN NaN NaN 11.555 -0.468 1917 9 NaN NaN NaN NaN NaN NaN 9.028 -0.414 1917 10 NaN NaN NaN NaN NaN NaN 4.538 -0.848 1917 11 NaN NaN NaN NaN NaN NaN 2.739 1.393 1917 12 NaN NaN NaN NaN NaN NaN -6.804 -5.362 1918 1 -0.269 1.458 0 0 -0.269 1.458 -2.232 0.880 1918 2 -1.072 -1.959 0 0 -1.072 -1.959 -1.767 -1.270 1918 3 -1.101 -3.263 1 0 NaN NaN -2.024 -2.802 1918 4 NaN NaN NaN NaN NaN NaN 2.155 -1.448 1918 5 8.435 -0.044 0 0 8.435 -0.044 6.346 -0.748 1918 6 12.412 0.798 0 0 12.412 0.798 10.336 0.106 1918 7 14.924 1.356 0 0 14.924 1.356 13.204 1.021 1918 8 12.735 -0.672 0 0 12.735 -0.672 11.283 -0.740 1918 9 10.890 0.064 1 0 NaN NaN 9.925 0.483 1918 10 5.573 -1.198 0 0 5.573 -1.198 5.166 -0.221 1918 11 3.112 0.381 0 0 3.112 0.381 1.957 0.611 1918 12 -0.292 -0.235 0 0 -0.292 -0.235 -1.272 0.170 1919 1 0.192 1.919 0 0 0.192 1.919 -1.751 1.360 1919 2 NaN NaN NaN NaN NaN NaN -0.872 -0.375 1919 3 -1.903 -4.066 0 0 -1.903 -4.066 -2.298 -3.076 1919 4 6.063 1.075 0 0 6.063 1.075 4.116 0.513 1919 5 8.044 -0.434 0 0 8.044 -0.434 6.125 -0.969 1919 6 NaN NaN NaN NaN NaN NaN 9.047 -1.182 1919 7 12.202 -1.367 0 0 12.202 -1.367 11.183 -1.001 1919 8 NaN NaN NaN NaN NaN NaN 11.912 -0.111 1919 9 NaN NaN NaN NaN NaN NaN 9.901 0.460 1919 10 4.977 -1.794 0 0 4.977 -1.794 4.319 -1.067 1919 11 NaN NaN NaN NaN NaN NaN -1.062 -2.408 1919 12 NaN NaN NaN NaN NaN NaN -1.995 -0.553 1920 1 NaN NaN NaN NaN NaN NaN -5.952 -2.840 1920 2 2.079 1.192 0 0 2.079 1.192 1.296 1.793 1920 3 0.805 -1.358 0 0 0.805 -1.358 -0.462 -1.240 1920 4 1.875 -3.113 1 0 NaN NaN 1.272 -2.331 1920 5 7.928 -0.551 0 0 7.928 -0.551 5.328 -1.766 1920 6 12.971 1.357 0 0 12.971 1.357 9.424 -0.805 1920 7 14.785 1.217 0 0 14.785 1.217 12.636 0.452 1920 8 10.071 -3.336 0 0 10.071 -3.336 10.832 -1.190 1920 9 NaN NaN NaN NaN NaN NaN 8.153 -1.289 1920 10 5.326 -1.445 0 0 5.326 -1.445 3.910 -1.477 1920 11 2.865 0.135 0 0 2.865 0.135 1.555 0.210 1920 12 NaN NaN NaN NaN NaN NaN -1.029 0.413 1921 1 NaN NaN NaN NaN NaN NaN -4.740 -1.628 1921 2 -0.284 -1.172 0 0 -0.284 -1.172 -0.358 0.139 1921 3 -0.580 -2.742 0 0 -0.580 -2.742 -1.285 -2.063 1921 4 5.095 0.107 0 0 5.095 0.107 3.545 -0.058 1921 5 8.924 0.446 1 0 NaN NaN 6.604 -0.490 1921 6 14.577 2.963 0 0 14.577 2.963 11.239 1.010 1921 7 12.257 -1.312 0 0 12.257 -1.312 11.127 -1.057 1921 8 NaN NaN NaN NaN NaN NaN 11.702 -0.321 1921 9 NaN NaN NaN NaN NaN NaN 9.187 -0.254 1921 10 NaN NaN NaN NaN NaN NaN 5.993 0.606 1921 11 NaN NaN NaN NaN NaN NaN -0.055 -1.401 1921 12 NaN NaN NaN NaN NaN NaN -0.358 1.084 1922 1 NaN NaN NaN NaN NaN NaN -2.398 0.714 1922 2 NaN NaN NaN NaN NaN NaN -4.052 -3.555 1922 3 NaN NaN NaN NaN NaN NaN -0.671 -1.448 1922 4 NaN NaN NaN NaN NaN NaN 2.662 -0.941 1922 5 NaN NaN NaN NaN NaN NaN 6.452 -0.642 1922 6 NaN NaN NaN NaN NaN NaN 10.123 -0.106 1922 7 NaN NaN NaN NaN NaN NaN 11.249 -0.935