% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3834 % Primary Name: TOCUMWALAMO % Record Type: TAVG % Country: Australia % Latitude: -35.78000 +/- 0.00500 % Longitude: 145.57000 +/- 0.00500 % Elevation (m): 114.00 +/- 0.05 % # of Months: 31 % % IDs: gsod - 949999-00277 % wban - 277 % % Sources: Global Summary of the Day % % Site Hash: 532ed49eebc8aa5e46ed4a88f90fa371 % Raw Data Hash: db7e675200f3d7a754d9e14201e23b75 % Adj Data Hash: 40afdf39129f7878ba726f71c2af4a2f % % 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 1941 1 NaN NaN NaN NaN NaN NaN 21.639 -1.004 1941 2 NaN NaN NaN NaN NaN NaN 21.194 -1.296 1941 3 NaN NaN NaN NaN NaN NaN 17.718 -2.179 1941 4 NaN NaN NaN NaN NaN NaN 16.991 1.781 1941 5 NaN NaN NaN NaN NaN NaN 11.155 -0.310 1941 6 NaN NaN NaN NaN NaN NaN 8.936 -0.122 1941 7 NaN NaN NaN NaN NaN NaN 8.219 0.170 1941 8 NaN NaN NaN NaN NaN NaN 9.435 0.068 1941 9 NaN NaN NaN NaN NaN NaN 11.342 -0.260 1941 10 NaN NaN NaN NaN NaN NaN 12.746 -1.710 1941 11 NaN NaN NaN NaN NaN NaN 18.182 0.685 1941 12 NaN NaN NaN NaN NaN NaN 20.720 0.421 1942 1 25.070 0.453 1 0 NaN NaN 22.830 0.188 1942 2 23.806 -0.659 0 0 24.126 -0.338 22.494 0.004 1942 3 22.625 0.755 0 0 22.946 1.076 20.160 0.264 1942 4 18.067 0.884 0 0 18.388 1.204 15.437 0.227 1942 5 13.099 -0.341 0 0 13.419 -0.020 12.384 0.919 1942 6 10.093 -0.940 0 0 10.413 -0.619 9.491 0.433 1942 7 8.471 -1.552 0 0 8.792 -1.231 7.985 -0.065 1942 8 10.201 -1.140 0 0 10.521 -0.819 9.618 0.251 1942 9 12.715 -0.861 0 0 13.035 -0.540 11.390 -0.211 1942 10 16.710 0.279 0 0 17.030 0.600 14.551 0.094 1942 11 20.406 0.935 0 0 20.726 1.255 17.647 0.150 1942 12 25.647 3.374 0 0 25.968 3.694 22.240 1.941 1943 1 NaN NaN NaN NaN NaN NaN 22.529 -0.114 1943 2 NaN NaN NaN NaN NaN NaN 22.382 -0.108 1943 3 NaN NaN NaN NaN NaN NaN 20.812 0.916 1943 4 NaN NaN NaN NaN NaN NaN 13.279 -1.930 1943 5 NaN NaN NaN NaN NaN NaN 10.642 -0.823 1943 6 NaN NaN NaN NaN NaN NaN 8.059 -0.999 1943 7 NaN NaN NaN NaN NaN NaN 7.621 -0.428 1943 8 NaN NaN NaN NaN NaN NaN 8.023 -1.344 1943 9 NaN NaN NaN NaN NaN NaN 11.324 -0.278 1943 10 NaN NaN NaN NaN NaN NaN 13.961 -0.495 1943 11 NaN NaN NaN NaN NaN NaN 16.699 -0.798 1943 12 NaN NaN NaN NaN NaN NaN 20.070 -0.229 1944 1 26.706 2.089 0 2 26.510 1.894 23.109 0.466 1944 2 23.623 -0.842 0 0 23.427 -1.038 20.778 -1.712 1944 3 21.624 -0.247 0 0 21.428 -0.443 19.899 0.002 1944 4 14.356 -2.828 0 0 14.160 -3.024 12.466 -2.744 1944 5 11.342 -2.097 0 0 11.146 -2.293 10.690 -0.776 1944 6 NaN NaN NaN NaN NaN NaN 7.848 -1.210 1944 7 NaN NaN NaN NaN NaN NaN 7.607 -0.442 1944 8 NaN NaN NaN NaN NaN NaN 9.101 -0.266 1944 9 14.915 1.339 0 0 14.719 1.143 12.727 1.125 1944 10 NaN NaN NaN NaN NaN NaN 14.827 0.371 1944 11 17.032 -2.439 1 0 NaN NaN 18.798 1.301 1944 12 23.228 0.954 0 0 23.032 0.758 19.585 -0.715 1945 1 25.502 0.885 0 0 25.306 0.689 22.009 -0.634 1945 2 23.437 -1.028 0 0 23.241 -1.224 20.393 -2.098 1945 3 20.000 -1.870 0 0 19.804 -2.066 17.748 -2.148 1945 4 16.981 -0.202 0 0 16.786 -0.398 14.562 -0.647 1945 5 12.547 -0.893 0 0 12.351 -1.089 11.082 -0.383 1945 6 11.504 0.472 0 0 11.308 0.276 10.317 1.259 1945 7 8.068 -1.955 0 0 7.872 -2.151 6.952 -1.097 1945 8 10.486 -0.855 0 0 10.290 -1.051 10.010 0.643 1945 9 12.276 -1.300 0 0 12.080 -1.496 10.837 -0.765 1945 10 16.457 0.026 0 0 16.261 -0.169 14.006 -0.450 1945 11 20.837 1.366 0 0 20.641 1.170 17.917 0.420 1945 12 NaN NaN NaN NaN NaN NaN 21.864 1.565 1946 1 NaN NaN NaN NaN NaN NaN 23.330 0.687 1946 2 NaN NaN NaN NaN NaN NaN 20.919 -1.572 1946 3 NaN NaN NaN NaN NaN NaN 17.382 -2.515 1946 4 NaN NaN NaN NaN NaN NaN 13.541 -1.669 1946 5 NaN NaN NaN NaN NaN NaN 10.836 -0.629 1946 6 NaN NaN NaN NaN NaN NaN 7.924 -1.135 1946 7 NaN NaN NaN NaN NaN NaN 8.815 0.766 1946 8 NaN NaN NaN NaN NaN NaN 8.890 -0.477 1946 9 NaN NaN NaN NaN NaN NaN 11.055 -0.547 1946 10 NaN NaN NaN NaN NaN NaN 12.827 -1.629 1946 11 NaN NaN NaN NaN NaN NaN 17.643 0.146