% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43329 % Primary Name: QUIGILLINGOK % Record Type: TAVG % Country: United States % State: AK % Latitude: 60.63330 +/- 0.00005 % Longitude: -163.53330 +/- 0.00005 % Elevation (m): 2.44 +/- 10.00 % # of Months: 23 % % Alternate Names: Missing Station ID - 507850 % % IDs: coop - 507850 % ghcnd - USC00507850 % ncdc - 30015293 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4e040411297d4fb60a0488b4c5a275c4 % Raw Data Hash: 5fa80d044515d931e25d70e28803eb89 % Adj Data Hash: cec3c9fd079920e1c2919ad34eba5507 % % 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 1930 4 NaN NaN NaN NaN NaN NaN -4.676 -0.284 1930 5 NaN NaN NaN NaN NaN NaN 2.697 -1.402 1930 6 NaN NaN NaN NaN NaN NaN 8.838 -0.723 1930 7 NaN NaN NaN NaN NaN NaN 10.451 -1.603 1930 8 NaN NaN NaN NaN NaN NaN 11.715 0.398 1930 9 NaN NaN NaN NaN NaN NaN 6.439 -0.935 1930 10 NaN NaN NaN NaN NaN NaN 0.095 0.773 1930 11 NaN NaN NaN NaN NaN NaN -10.322 -3.550 1930 12 NaN NaN NaN NaN NaN NaN -10.776 2.478 1931 1 NaN NaN NaN NaN NaN NaN -11.070 1.819 1931 2 NaN NaN NaN NaN NaN NaN -13.245 -0.604 1931 3 NaN NaN NaN NaN NaN NaN -10.381 -0.017 1931 4 -7.644 -2.597 1 0 NaN NaN -6.405 -2.012 1931 5 2.002 -1.444 0 0 2.002 -1.444 3.296 -0.804 1931 6 11.918 3.011 1 0 NaN NaN 9.539 -0.023 1931 7 12.416 1.016 0 0 12.416 1.016 11.897 -0.157 1931 8 11.370 0.707 1 0 NaN NaN 12.486 1.169 1931 9 NaN NaN NaN NaN NaN NaN 6.770 -0.605 1931 10 -0.353 0.979 0 0 -0.353 0.979 -1.147 -0.470 1931 11 NaN NaN NaN NaN NaN NaN -3.463 3.309 1931 12 -9.976 3.932 1 0 NaN NaN -11.161 2.093 1932 1 NaN NaN NaN NaN NaN NaN -16.082 -3.193 1932 2 NaN NaN NaN NaN NaN NaN -15.948 -3.306 1932 3 NaN NaN NaN NaN NaN NaN -7.096 3.268 1932 4 NaN NaN NaN NaN NaN NaN -1.856 2.537 1932 5 NaN NaN NaN NaN NaN NaN 2.929 -1.171 1932 6 NaN NaN NaN NaN NaN NaN 8.799 -0.762 1932 7 NaN NaN NaN NaN NaN NaN 11.298 -0.756 1932 8 9.207 -1.456 1 0 NaN NaN 10.494 -0.823 1932 9 6.587 -0.134 0 0 6.587 -0.134 6.953 -0.421 1932 10 NaN NaN NaN NaN NaN NaN 1.000 1.677 1932 11 -13.573 -6.146 0 0 -13.573 -6.146 -11.208 -4.435 1932 12 -8.314 5.594 0 0 -8.314 5.594 -9.078 4.176 1933 1 -18.862 -5.319 1 0 NaN NaN -17.726 -4.837 1933 2 -13.156 0.140 0 0 -13.156 0.140 -12.432 0.209 1933 3 -13.745 -2.727 1 0 NaN NaN -11.683 -1.319 1933 4 NaN NaN NaN NaN NaN NaN -2.069 2.324 1933 5 0.327 -3.118 0 0 0.327 -3.118 2.441 -1.659 1933 6 NaN NaN NaN NaN NaN NaN 7.798 -1.763 1933 7 NaN NaN NaN NaN NaN NaN 12.534 0.480 1933 8 NaN NaN NaN NaN NaN NaN 11.285 -0.031 1933 9 6.240 -0.480 0 0 6.240 -0.480 7.004 -0.370 1933 10 -1.221 0.111 0 0 -1.221 0.111 -1.670 -0.993 1933 11 -7.450 -0.023 0 0 -7.450 -0.023 -6.250 0.522 1933 12 -15.577 -1.669 0 0 -15.577 -1.669 -15.765 -2.511 1934 1 -23.330 -9.787 0 0 -23.330 -9.787 -21.817 -8.928 1934 2 -8.481 4.815 0 0 -8.481 4.815 -7.146 5.496 1934 3 -8.534 2.484 0 0 -8.534 2.484 -7.759 2.605 1934 4 NaN NaN NaN NaN NaN NaN -0.574 3.819 1934 5 3.579 0.133 0 0 3.579 0.133 4.308 0.209 1934 6 NaN NaN NaN NaN NaN NaN 9.504 -0.057 1934 7 NaN NaN NaN NaN NaN NaN 10.506 -1.548 1934 8 NaN NaN NaN NaN NaN NaN 11.183 -0.134 1934 9 NaN NaN NaN NaN NaN NaN 9.359 1.985 1934 10 NaN NaN NaN NaN NaN NaN 0.636 1.313 1934 11 NaN NaN NaN NaN NaN NaN -5.745 1.028 1934 12 NaN NaN NaN NaN NaN NaN -9.082 4.172 1935 1 NaN NaN NaN NaN NaN NaN -11.972 0.917 1935 2 NaN NaN NaN NaN NaN NaN -10.948 1.693 1935 3 NaN NaN NaN NaN NaN NaN -4.336 6.027 1935 4 NaN NaN NaN NaN NaN NaN -1.283 3.109 1935 5 NaN NaN NaN NaN NaN NaN 5.505 1.406