% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4240 % Primary Name: WILLIAMTOWN COMPARISON AWS % Record Type: TAVG % Country: Australia % Latitude: -32.80810 +/- 0.00005 % Longitude: 151.84190 +/- 0.00005 % Elevation (m): 4.90 +/- 0.50 % # of Months: 34 % % IDs: ghcnd - ASN00061379 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: abcc8db3d1b05334d4fe9820f6db4a24 % Raw Data Hash: 2bbb18ad19968364e8f0c04bb7434daf % Adj Data Hash: be0a7b3aa6dfd16622ea0baf49cbe83d % % 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 1994 7 NaN NaN NaN NaN NaN NaN 13.985 0.454 1994 8 NaN NaN NaN NaN NaN NaN 13.962 -0.239 1994 9 NaN NaN NaN NaN NaN NaN 15.904 0.310 1994 10 NaN NaN NaN NaN NaN NaN 17.121 -0.090 1994 11 NaN NaN NaN NaN NaN NaN 20.037 1.183 1994 12 NaN NaN NaN NaN NaN NaN 20.601 0.311 1995 1 NaN NaN NaN NaN NaN NaN 20.264 -0.838 1995 2 NaN NaN NaN NaN NaN NaN 20.730 -0.629 1995 3 NaN NaN NaN NaN NaN NaN 20.771 -0.087 1995 4 NaN NaN NaN NaN NaN NaN 18.083 -0.721 1995 5 NaN NaN NaN NaN NaN NaN 17.423 1.139 1995 6 NaN NaN NaN NaN NaN NaN 15.139 0.485 1995 7 10.806 -1.505 1 0 NaN NaN 13.492 -0.038 1995 8 13.931 0.950 1 0 NaN NaN 16.066 1.865 1995 9 NaN NaN NaN NaN NaN NaN 15.681 0.086 1995 10 17.622 1.631 1 0 NaN NaN 17.611 0.400 1995 11 NaN NaN NaN NaN NaN NaN 19.591 0.737 1995 12 20.138 1.069 1 0 NaN NaN 19.057 -1.233 1996 1 22.842 2.960 1 0 NaN NaN 21.060 -0.041 1996 2 20.962 0.823 1 0 NaN NaN 20.350 -1.009 1996 3 19.991 0.353 0 0 19.991 0.353 20.388 -0.470 1996 4 17.648 0.064 0 0 17.648 0.064 18.511 -0.294 1996 5 NaN NaN NaN NaN NaN NaN 17.524 1.241 1996 6 13.769 0.335 0 0 13.769 0.335 16.179 1.525 1996 7 11.905 -0.406 0 0 11.905 -0.406 13.931 0.400 1996 8 12.795 -0.186 0 0 12.795 -0.186 14.727 0.526 1996 9 15.396 1.022 1 0 NaN NaN 16.740 1.146 1996 10 NaN NaN NaN NaN NaN NaN 17.355 0.144 1996 11 NaN NaN NaN NaN NaN NaN 18.466 -0.387 1996 12 20.673 1.603 1 0 NaN NaN 19.647 -0.642 1997 1 21.108 1.226 1 0 NaN NaN 19.500 -1.601 1997 2 NaN NaN NaN NaN NaN NaN 22.037 0.679 1997 3 NaN NaN NaN NaN NaN NaN 21.525 0.667 1997 4 NaN NaN NaN NaN NaN NaN 19.331 0.526 1997 5 15.717 0.653 0 0 15.717 0.653 17.292 1.009 1997 6 12.362 -1.072 0 0 12.362 -1.072 15.067 0.412 1997 7 NaN NaN NaN NaN NaN NaN 13.767 0.236 1997 8 11.954 -1.027 1 0 NaN NaN 14.226 0.026 1997 9 14.917 0.542 0 0 14.917 0.542 15.817 0.222 1997 10 17.847 1.856 0 0 17.847 1.856 17.824 0.613 1997 11 NaN NaN NaN NaN NaN NaN 20.914 2.060 1997 12 NaN NaN NaN NaN NaN NaN 22.489 2.199 1998 1 NaN NaN NaN NaN NaN NaN 22.637 1.535 1998 2 NaN NaN NaN NaN NaN NaN 23.220 1.862 1998 3 22.419 2.781 0 0 22.419 2.781 22.784 1.925 1998 4 18.967 1.382 0 0 18.967 1.382 20.098 1.294 1998 5 16.409 1.346 1 0 NaN NaN 17.424 1.141 1998 6 NaN NaN NaN NaN NaN NaN 15.854 1.199 1998 7 11.887 -0.424 0 0 11.887 -0.424 14.221 0.691 1998 8 13.632 0.651 1 0 NaN NaN 15.552 1.351 1998 9 16.449 2.075 1 0 NaN NaN 17.364 1.770 1998 10 17.871 1.880 0 0 17.871 1.880 17.885 0.674 1998 11 NaN NaN NaN NaN NaN NaN 17.607 -1.246 1998 12 21.707 2.637 0 0 21.707 2.637 21.057 0.768 1999 1 23.580 3.698 1 0 NaN NaN 22.285 1.183 1999 2 NaN NaN NaN NaN NaN NaN 21.421 0.063 1999 3 22.274 2.636 0 0 22.274 2.636 22.120 1.261 1999 4 17.224 -0.361 0 0 17.224 -0.361 18.186 -0.618 1999 5 15.817 0.753 0 0 15.817 0.753 17.475 1.191 1999 6 12.966 -0.469 0 0 12.966 -0.469 15.511 0.857 1999 7 12.887 0.576 0 0 12.887 0.576 15.074 1.544 1999 8 12.311 -0.670 1 0 NaN NaN 14.960 0.760 1999 9 NaN NaN NaN NaN NaN NaN 16.448 0.854 1999 10 NaN NaN NaN NaN NaN NaN 18.353 1.143 1999 11 NaN NaN NaN NaN NaN NaN 17.203 -1.650 1999 12 NaN NaN NaN NaN NaN NaN 19.392 -0.897 2000 1 NaN NaN NaN NaN NaN NaN 19.811 -1.291 2000 2 NaN NaN NaN NaN NaN NaN 21.503 0.144 2000 3 NaN NaN NaN NaN NaN NaN 21.726 0.867 2000 4 NaN NaN NaN NaN NaN NaN 19.553 0.749 2000 5 NaN NaN NaN NaN NaN NaN 16.616 0.333 2000 6 NaN NaN NaN NaN NaN NaN 14.361 -0.293 2000 7 NaN NaN NaN NaN NaN NaN 14.503 0.973 2000 8 NaN NaN NaN NaN NaN NaN 14.557 0.356