% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4027 % Primary Name: MALLALAAMO % Record Type: TAVG % Country: Australia % Latitude: -34.42000 +/- 0.00500 % Longitude: 138.50000 +/- 0.00500 % Elevation (m): 44.00 +/- 0.05 % # of Months: 35 % % IDs: gsod - 949999-00114 % wban - 114 % % Sources: Global Summary of the Day % % Site Hash: b8706dd1c7cc3c8e77f659c846bac9e6 % Raw Data Hash: 550f524ab4630023a9c5308e826e4015 % Adj Data Hash: 2b16203fd96a739066bbb5733b5fbb5e % % 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 20.150 -1.982 1941 2 NaN NaN NaN NaN NaN NaN 20.754 -1.275 1941 3 NaN NaN NaN NaN NaN NaN 18.549 -1.608 1941 4 NaN NaN NaN NaN NaN NaN 18.605 1.823 1941 5 NaN NaN NaN NaN NaN NaN 13.071 -0.465 1941 6 NaN NaN NaN NaN NaN NaN 11.638 0.290 1941 7 NaN NaN NaN NaN NaN NaN 11.120 0.765 1941 8 NaN NaN NaN NaN NaN NaN 11.037 0.078 1941 9 NaN NaN NaN NaN NaN NaN 12.538 -0.240 1941 10 NaN NaN NaN NaN NaN NaN 13.782 -1.459 1941 11 NaN NaN NaN NaN NaN NaN 18.927 1.059 1941 12 NaN NaN NaN NaN NaN NaN 21.153 1.190 1942 1 19.896 -3.421 1 0 NaN NaN 22.235 0.103 1942 2 21.131 -2.083 0 0 21.399 -1.815 21.030 -0.999 1942 3 20.891 -0.451 0 0 21.158 -0.183 20.925 0.768 1942 4 17.480 -0.487 0 0 17.747 -0.219 16.676 -0.106 1942 5 14.690 -0.030 0 0 14.958 0.238 14.325 0.789 1942 6 12.063 -0.470 0 0 12.331 -0.202 11.609 0.261 1942 7 10.138 -1.401 0 0 10.406 -1.134 10.141 -0.213 1942 8 11.970 -0.175 0 0 12.237 0.093 11.474 0.515 1942 9 13.891 -0.072 0 0 14.158 0.196 12.757 -0.021 1942 10 17.398 0.972 0 0 17.666 1.240 15.665 0.424 1942 11 20.339 1.286 0 0 20.607 1.554 17.834 -0.034 1942 12 24.676 3.528 0 0 24.943 3.796 20.954 0.991 1943 1 NaN NaN NaN NaN NaN NaN 22.309 0.178 1943 2 NaN NaN NaN NaN NaN NaN 22.090 0.061 1943 3 NaN NaN NaN NaN NaN NaN 21.349 1.192 1943 4 NaN NaN NaN NaN NaN NaN 15.161 -1.621 1943 5 NaN NaN NaN NaN NaN NaN 11.951 -1.585 1943 6 NaN NaN NaN NaN NaN NaN 10.785 -0.563 1943 7 NaN NaN NaN NaN NaN NaN 10.012 -0.342 1943 8 NaN NaN NaN NaN NaN NaN 9.167 -1.793 1943 9 NaN NaN NaN NaN NaN NaN 12.151 -0.627 1943 10 NaN NaN NaN NaN NaN NaN 13.821 -1.420 1943 11 NaN NaN NaN NaN NaN NaN 16.593 -1.275 1943 12 NaN NaN NaN NaN NaN NaN 18.387 -1.576 1944 1 23.771 0.454 0 2 23.643 0.326 21.741 -0.391 1944 2 22.866 -0.348 0 0 22.738 -0.476 21.227 -0.801 1944 3 22.038 0.696 0 0 21.910 0.568 20.437 0.281 1944 4 15.483 -2.484 0 0 15.355 -2.612 14.819 -1.963 1944 5 12.410 -2.310 0 0 12.282 -2.438 12.087 -1.449 1944 6 10.196 -2.337 0 0 10.068 -2.465 10.110 -1.238 1944 7 10.308 -1.231 0 0 10.180 -1.359 9.790 -0.565 1944 8 11.769 -0.376 0 0 11.641 -0.504 10.588 -0.372 1944 9 16.700 2.737 0 0 16.572 2.609 14.809 2.031 1944 10 17.862 1.436 0 0 17.734 1.308 15.600 0.359 1944 11 21.359 2.306 0 0 21.231 2.178 19.317 1.449 1944 12 21.633 0.485 0 0 21.505 0.357 19.522 -0.441 1945 1 21.427 -1.890 0 0 21.298 -2.018 20.816 -1.316 1945 2 21.020 -2.194 0 0 20.892 -2.322 19.885 -2.144 1945 3 19.233 -2.108 0 0 19.105 -2.236 18.290 -1.866 1945 4 18.124 0.157 0 0 17.996 0.029 16.668 -0.114 1945 5 14.324 -0.396 0 0 14.196 -0.524 13.651 0.116 1945 6 12.924 0.391 0 0 12.796 0.263 12.362 1.014 1945 7 9.823 -1.717 0 0 9.695 -1.845 9.217 -1.138 1945 8 12.572 0.427 0 0 12.444 0.299 11.628 0.668 1945 9 13.824 -0.139 0 0 13.696 -0.267 12.388 -0.390 1945 10 16.796 0.370 0 0 16.668 0.242 14.823 -0.418 1945 11 19.807 0.754 0 0 19.678 0.626 17.483 -0.385 1945 12 NaN NaN NaN NaN NaN NaN 21.356 1.394 1946 1 NaN NaN NaN NaN NaN NaN 22.567 0.435 1946 2 NaN NaN NaN NaN NaN NaN 20.165 -1.864 1946 3 NaN NaN NaN NaN NaN NaN 18.221 -1.936 1946 4 NaN NaN NaN NaN NaN NaN 14.421 -2.361 1946 5 NaN NaN NaN NaN NaN NaN 13.965 0.429 1946 6 NaN NaN NaN NaN NaN NaN 10.305 -1.043 1946 7 NaN NaN NaN NaN NaN NaN 11.432 1.078 1946 8 NaN NaN NaN NaN NaN NaN 11.102 0.142 1946 9 NaN NaN NaN NaN NaN NaN 11.959 -0.819 1946 10 NaN NaN NaN NaN NaN NaN 13.624 -1.617 1946 11 NaN NaN NaN NaN NaN NaN 17.565 -0.303