% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4480 % Primary Name: GLEN INNES AGR RESE % Record Type: TAVG % Country: Australia % Latitude: -29.70000 +/- 0.05000 % Longitude: 151.70000 +/- 0.05000 % Elevation (m): 1060.00 +/- 0.05 % # of Months: 34 % % IDs: gsod - 945850-99999 % usaf - 945850 % % Sources: Global Summary of the Day % % Site Hash: d8cd78d0516021617643688e6a17ee3e % Raw Data Hash: 862f671205bb87f085afc39e6dbe4e40 % Adj Data Hash: c204c63ed1a319471900c6622a475df5 % % 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 1989 3 NaN NaN NaN NaN NaN NaN 19.946 1.289 1989 4 NaN NaN NaN NaN NaN NaN 16.391 1.297 1989 5 NaN NaN NaN NaN NaN NaN 13.400 2.534 1989 6 NaN NaN NaN NaN NaN NaN 8.952 0.561 1989 7 NaN NaN NaN NaN NaN NaN 7.042 -0.084 1989 8 NaN NaN NaN NaN NaN NaN 7.092 -1.341 1989 9 NaN NaN NaN NaN NaN NaN 10.830 -0.426 1989 10 NaN NaN NaN NaN NaN NaN 15.317 0.774 1989 11 NaN NaN NaN NaN NaN NaN 16.746 -0.769 1989 12 NaN NaN NaN NaN NaN NaN 19.309 -0.417 1990 1 NaN NaN NaN NaN NaN NaN 21.364 0.807 1990 2 NaN NaN NaN NaN NaN NaN 20.538 0.170 1990 3 23.173 0.112 1 0 NaN NaN 18.997 0.340 1990 4 21.871 2.374 1 0 NaN NaN 16.042 0.949 1990 5 18.673 3.404 1 0 NaN NaN 12.186 1.320 1990 6 15.539 2.745 1 0 NaN NaN 8.460 0.069 1990 7 15.308 3.778 1 0 NaN NaN 7.958 0.832 1990 8 15.516 2.680 1 0 NaN NaN 7.452 -0.981 1990 9 17.439 1.780 1 0 NaN NaN 11.152 -0.103 1990 10 20.631 1.685 1 0 NaN NaN 14.720 0.177 1990 11 22.419 0.500 0 0 22.419 0.500 18.577 1.061 1990 12 24.837 0.707 0 0 24.837 0.707 22.688 2.961 1991 1 25.367 0.407 0 0 25.367 0.407 21.414 0.858 1991 2 24.786 0.015 1 0 NaN NaN 21.588 1.220 1991 3 23.539 0.479 1 0 NaN NaN 19.152 0.495 1991 4 21.393 1.896 1 0 NaN NaN 15.098 0.004 1991 5 19.026 3.757 1 0 NaN NaN 12.937 2.071 1991 6 17.569 4.774 1 0 NaN NaN 10.811 2.421 1991 7 15.305 3.775 1 0 NaN NaN 6.797 -0.330 1991 8 17.274 4.438 1 0 NaN NaN 8.699 0.266 1991 9 19.481 3.823 1 0 NaN NaN 11.489 0.233 1991 10 20.893 1.946 1 0 NaN NaN 16.222 1.679 1991 11 22.441 0.522 0 0 22.441 0.522 18.291 0.775 1991 12 23.742 -0.388 0 0 23.742 -0.388 19.144 -0.583 1992 1 25.285 0.325 0 0 25.285 0.325 21.004 0.447 1992 2 24.458 -0.313 1 0 NaN NaN 20.549 0.181 1992 3 23.054 -0.006 1 0 NaN NaN 18.812 0.155 1992 4 21.076 1.579 1 0 NaN NaN 15.718 0.625 1992 5 18.541 3.272 1 0 NaN NaN 11.851 0.985 1992 6 15.530 2.735 1 0 NaN NaN 8.217 -0.174 1992 7 15.677 4.148 1 0 NaN NaN 7.714 0.588 1992 8 16.729 3.893 1 0 NaN NaN 8.638 0.204 1992 9 18.333 2.674 1 0 NaN NaN 10.604 -0.652 1992 10 20.014 1.068 0 0 20.014 1.068 13.904 -0.639 1992 11 22.443 0.524 0 0 22.443 0.524 16.300 -1.216 1992 12 21.087 -3.043 1 0 NaN NaN 18.891 -0.836 1993 1 NaN NaN NaN NaN NaN NaN 22.289 1.733 1993 2 NaN NaN NaN NaN NaN NaN 20.940 0.572 1993 3 NaN NaN NaN NaN NaN NaN 18.304 -0.353 1993 4 NaN NaN NaN NaN NaN NaN 16.007 0.913 1993 5 NaN NaN NaN NaN NaN NaN 12.391 1.525 1993 6 NaN NaN NaN NaN NaN NaN 8.731 0.340 1993 7 NaN NaN NaN NaN NaN NaN 10.717 3.590 1993 8 NaN NaN NaN NaN NaN NaN 9.731 1.298 1993 9 NaN NaN NaN NaN NaN NaN 11.364 0.108 1993 10 NaN NaN NaN NaN NaN NaN 14.561 0.019 1993 11 NaN NaN NaN NaN NaN NaN 17.672 0.156 1993 12 NaN NaN NaN NaN NaN NaN 19.192 -0.535