% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3441 % Primary Name: WIHAREJA % Record Type: TAVG % Country: Australia % Latitude: -42.03330 +/- 0.00005 % Longitude: 146.80000 +/- 0.00005 % Elevation (m): 914.00 +/- 0.50 % # of Months: 52 % % IDs: ghcnd - ASN00096024 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 1498436feedc3c5b3a3b8c65ca40116c % Raw Data Hash: 48ed15276a3218b09d770c0f79b41f0c % Adj Data Hash: 9e6aa9596e4a799de34f91f21465616b % % 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 1984 3 NaN NaN NaN NaN NaN NaN 12.250 -0.364 1984 4 NaN NaN NaN NaN NaN NaN 9.760 0.077 1984 5 NaN NaN NaN NaN NaN NaN 7.796 0.524 1984 6 NaN NaN NaN NaN NaN NaN 6.521 1.051 1984 7 NaN NaN NaN NaN NaN NaN 4.657 -0.140 1984 8 NaN NaN NaN NaN NaN NaN 5.814 0.300 1984 9 NaN NaN NaN NaN NaN NaN 7.037 -0.209 1984 10 NaN NaN NaN NaN NaN NaN 9.331 0.305 1984 11 NaN NaN NaN NaN NaN NaN 11.751 0.982 1984 12 NaN NaN NaN NaN NaN NaN 11.127 -1.383 1985 1 NaN NaN NaN NaN NaN NaN 13.380 -0.884 1985 2 NaN NaN NaN NaN NaN NaN 13.091 -1.214 1985 3 11.895 2.051 1 0 NaN NaN 13.823 1.208 1985 4 8.253 1.341 1 0 NaN NaN 11.186 1.502 1985 5 6.130 1.629 0 0 6.130 1.629 8.112 0.840 1985 6 1.635 -1.064 0 0 1.635 -1.064 4.878 -0.592 1985 7 NaN NaN NaN NaN NaN NaN 4.712 -0.084 1985 8 3.582 0.839 0 0 3.582 0.839 6.191 0.677 1985 9 4.874 0.399 0 0 4.874 0.399 7.581 0.335 1985 10 7.459 1.205 1 0 NaN NaN 9.837 0.811 1985 11 8.957 0.959 1 0 NaN NaN 11.652 0.882 1985 12 10.232 0.493 1 0 NaN NaN 13.387 0.878 1986 1 10.679 -0.814 1 0 NaN NaN 13.445 -0.819 1986 2 9.400 -2.134 0 0 9.400 -2.134 12.928 -1.377 1986 3 11.600 1.756 1 0 NaN NaN 13.377 0.762 1986 4 NaN NaN NaN NaN NaN NaN 10.034 0.351 1986 5 4.618 0.118 1 0 NaN NaN 7.586 0.314 1986 6 NaN NaN NaN NaN NaN NaN 4.837 -0.633 1986 7 NaN NaN NaN NaN NaN NaN 4.886 0.089 1986 8 3.548 0.805 1 0 NaN NaN 5.688 0.174 1986 9 4.902 0.427 0 0 4.902 0.427 7.459 0.213 1986 10 5.897 -0.358 1 0 NaN NaN 8.614 -0.411 1986 11 7.882 -0.116 1 0 NaN NaN 10.811 0.042 1986 12 9.198 -0.540 1 0 NaN NaN 12.317 -0.192 1987 1 8.586 -2.907 1 0 NaN NaN 12.838 -1.425 1987 2 NaN NaN NaN NaN NaN NaN 13.337 -0.968 1987 3 9.161 -0.683 1 0 NaN NaN 11.235 -1.380 1987 4 8.341 1.428 1 0 NaN NaN 10.629 0.945 1987 5 5.255 0.754 1 0 NaN NaN 7.991 0.720 1987 6 4.129 1.431 1 0 NaN NaN 5.909 0.439 1987 7 2.633 0.608 1 0 NaN NaN 4.696 -0.100 1987 8 NaN NaN NaN NaN NaN NaN 6.039 0.525 1987 9 6.071 1.596 1 0 NaN NaN 8.404 1.158 1987 10 6.379 0.125 1 0 NaN NaN 9.487 0.461 1987 11 7.864 -0.134 1 0 NaN NaN 11.910 1.141 1987 12 9.548 -0.190 1 0 NaN NaN 12.330 -0.179 1988 1 16.043 4.550 1 0 NaN NaN 16.034 1.771 1988 2 11.885 0.351 1 0 NaN NaN 13.741 -0.564 1988 3 11.606 1.763 1 0 NaN NaN 13.280 0.665 1988 4 9.636 2.724 1 0 NaN NaN 10.853 1.170 1988 5 5.742 1.242 1 0 NaN NaN 9.436 2.165 1988 6 3.624 0.925 1 0 NaN NaN 7.229 1.759 1988 7 4.007 1.981 1 0 NaN NaN 6.358 1.561 1988 8 3.906 1.163 1 0 NaN NaN 6.424 0.911 1988 9 6.619 2.144 1 0 NaN NaN 8.825 1.579 1988 10 6.027 -0.228 1 0 NaN NaN 8.798 -0.227 1988 11 9.393 1.395 1 0 NaN NaN 11.770 1.001 1988 12 11.580 1.842 1 0 NaN NaN 13.926 1.417 1989 1 12.123 0.631 1 0 NaN NaN 15.333 1.070 1989 2 14.255 2.721 1 0 NaN NaN 15.772 1.467 1989 3 11.583 1.739 1 0 NaN NaN 13.899 1.284 1989 4 9.873 2.961 1 0 NaN NaN 11.580 1.896 1989 5 5.535 1.035 1 0 NaN NaN 7.769 0.497 1989 6 1.967 -0.732 1 0 NaN NaN 4.585 -0.885 1989 7 0.505 -1.521 1 0 NaN NaN 4.878 0.082 1989 8 3.067 0.324 1 0 NaN NaN 5.458 -0.055 1989 9 5.183 0.708 1 0 NaN NaN 8.112 0.866 1989 10 6.360 0.105 1 0 NaN NaN 9.084 0.058 1989 11 11.080 3.082 1 0 NaN NaN 12.120 1.351 1989 12 9.583 -0.155 1 0 NaN NaN 13.442 0.933 1990 1 NaN NaN NaN NaN NaN NaN 14.484 0.220 1990 2 NaN NaN NaN NaN NaN NaN 14.712 0.407 1990 3 NaN NaN NaN NaN NaN NaN 13.782 1.167 1990 4 NaN NaN NaN NaN NaN NaN 10.950 1.267 1990 5 NaN NaN NaN NaN NaN NaN 7.863 0.591 1990 6 NaN NaN NaN NaN NaN NaN 6.197 0.727 1990 7 NaN NaN NaN NaN NaN NaN 5.159 0.363 1990 8 NaN NaN NaN NaN NaN NaN 4.677 -0.837 1990 9 NaN NaN NaN NaN NaN NaN 7.675 0.429 1990 10 NaN NaN NaN NaN NaN NaN 9.835 0.810 1990 11 NaN NaN NaN NaN NaN NaN 11.659 0.890 1990 12 NaN NaN NaN NaN NaN NaN 12.507 -0.002