% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3983 % Primary Name: NILDOTTIE % Record Type: TAVG % Country: Australia % Latitude: -34.67620 +/- 0.00005 % Longitude: 139.65130 +/- 0.00005 % Elevation (m): 41.00 +/- 0.50 % # of Months: 85 % % IDs: ghcnd - ASN00024547 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: b15e6ceefb5df1daa30ab63035256376 % Raw Data Hash: c187cb92e6990632da88f6186e8363df % Adj Data Hash: 26c9f02965c3a464383787ef22027234 % % 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 1964 1 NaN NaN NaN NaN NaN NaN 21.326 -1.234 1964 2 NaN NaN NaN NaN NaN NaN 20.429 -1.755 1964 3 NaN NaN NaN NaN NaN NaN 19.374 -0.459 1964 4 NaN NaN NaN NaN NaN NaN 15.883 0.022 1964 5 NaN NaN NaN NaN NaN NaN 12.500 -0.006 1964 6 NaN NaN NaN NaN NaN NaN 10.429 0.075 1964 7 NaN NaN NaN NaN NaN NaN 10.340 0.741 1964 8 NaN NaN NaN NaN NaN NaN 11.070 0.529 1964 9 NaN NaN NaN NaN NaN NaN 12.720 0.006 1964 10 NaN NaN NaN NaN NaN NaN 13.846 -1.530 1964 11 NaN NaN NaN NaN NaN NaN 17.916 -0.234 1964 12 NaN NaN NaN NaN NaN NaN 16.870 -3.530 1965 1 21.500 -1.307 1 0 NaN NaN 20.865 -1.695 1965 2 22.384 -0.048 0 0 22.476 0.044 23.089 0.905 1965 3 19.435 -0.645 0 0 19.527 -0.553 19.749 -0.084 1965 4 NaN NaN NaN NaN NaN NaN 14.104 -1.758 1965 5 12.552 -0.201 1 0 NaN NaN 13.281 0.775 1965 6 9.822 -0.780 0 0 9.913 -0.688 10.104 -0.251 1965 7 9.516 -0.330 0 0 9.608 -0.238 9.165 -0.433 1965 8 10.887 0.098 0 0 10.979 0.190 10.781 0.240 1965 9 13.024 0.063 0 0 13.116 0.155 13.511 0.797 1965 10 17.545 1.921 0 0 17.637 2.013 17.373 1.997 1965 11 18.110 -0.287 0 0 18.202 -0.195 17.646 -0.504 1965 12 22.807 2.160 0 0 22.899 2.252 22.848 2.448 1966 1 23.608 0.801 1 0 NaN NaN 23.714 1.155 1966 2 21.421 -1.011 0 0 21.512 -0.919 21.223 -0.961 1966 3 20.068 -0.013 0 0 20.160 0.079 19.847 0.014 1966 4 15.986 -0.122 0 0 16.078 -0.031 15.159 -0.702 1966 5 12.917 0.163 0 0 13.008 0.255 12.370 -0.136 1966 6 10.327 -0.275 0 0 10.418 -0.183 10.298 -0.057 1966 7 9.347 -0.499 0 0 9.439 -0.407 9.207 -0.391 1966 8 9.623 -1.166 0 0 9.714 -1.075 9.674 -0.867 1966 9 12.400 -0.561 0 0 12.492 -0.470 12.235 -0.479 1966 10 14.897 -0.728 0 0 14.988 -0.636 14.866 -0.511 1966 11 19.838 1.441 0 0 19.930 1.533 19.471 1.321 1966 12 NaN NaN NaN NaN NaN NaN 19.405 -0.995 1967 1 21.350 -1.457 0 0 21.442 -1.366 21.339 -1.221 1967 2 22.680 0.249 0 0 22.772 0.341 23.028 0.844 1967 3 19.260 -0.820 0 0 19.352 -0.728 19.218 -0.615 1967 4 17.764 1.655 0 0 17.855 1.747 17.607 1.746 1967 5 12.866 0.113 0 0 12.958 0.204 12.799 0.293 1967 6 11.215 0.613 0 0 11.307 0.705 11.315 0.961 1967 7 10.195 0.349 0 0 10.287 0.441 10.083 0.485 1967 8 10.163 -0.626 0 0 10.255 -0.534 9.961 -0.580 1967 9 13.437 0.476 0 0 13.529 0.568 13.014 0.301 1967 10 17.327 1.703 0 0 17.419 1.794 16.868 1.491 1967 11 18.917 0.520 0 0 19.008 0.611 18.533 0.383 1967 12 19.960 -0.688 0 0 20.051 -0.596 19.460 -0.940 1968 1 24.744 1.936 0 0 24.835 2.028 24.846 2.286 1968 2 24.274 1.843 0 0 24.366 1.934 24.371 2.187 1968 3 20.754 0.674 1 0 NaN NaN 21.231 1.398 1968 4 18.555 2.446 0 0 18.647 2.538 17.996 2.135 1968 5 12.630 -0.124 0 0 12.721 -0.032 12.016 -0.490 1968 6 10.363 -0.239 0 0 10.455 -0.147 10.337 -0.017 1968 7 8.676 -1.170 0 0 8.768 -1.078 8.494 -1.105 1968 8 9.600 -1.189 0 0 9.691 -1.098 9.793 -0.748 1968 9 12.059 -0.902 0 0 12.151 -0.810 11.892 -0.822 1968 10 16.127 0.503 0 0 16.219 0.595 15.741 0.364 1968 11 17.329 -1.068 0 0 17.421 -0.976 16.801 -1.348 1968 12 NaN NaN NaN NaN NaN NaN 19.185 -1.215 1969 1 24.382 1.575 0 0 24.474 1.667 24.355 1.795 1969 2 21.945 -0.486 0 0 22.037 -0.394 21.909 -0.275 1969 3 19.560 -0.520 0 0 19.652 -0.428 19.235 -0.598 1969 4 16.396 0.287 1 0 NaN NaN 16.042 0.181 1969 5 11.241 -1.513 1 0 NaN NaN 11.328 -1.178 1969 6 9.978 -0.623 0 0 10.070 -0.532 9.927 -0.427 1969 7 10.453 0.607 0 0 10.545 0.699 10.540 0.942 1969 8 10.777 -0.011 0 0 10.869 0.080 10.999 0.457 1969 9 10.680 -2.281 0 0 10.772 -2.189 10.434 -2.280 1969 10 16.029 0.404 0 0 16.120 0.496 15.903 0.527 1969 11 18.082 -0.315 0 0 18.173 -0.224 17.543 -0.607 1969 12 18.902 -1.745 0 0 18.994 -1.653 18.238 -2.162 1970 1 21.130 -1.677 0 0 21.222 -1.586 21.186 -1.374 1970 2 23.393 0.962 1 0 NaN NaN 22.920 0.736 1970 3 19.070 -1.010 1 0 NaN NaN 18.792 -1.040 1970 4 17.176 1.067 1 0 NaN NaN 16.851 0.990 1970 5 11.930 -0.823 0 0 12.022 -0.732 11.816 -0.690 1970 6 11.513 0.912 0 0 11.605 1.003 11.397 1.042 1970 7 10.375 0.529 0 0 10.467 0.621 10.311 0.713 1970 8 NaN NaN NaN NaN NaN NaN 9.634 -0.907 1970 9 NaN NaN NaN NaN NaN NaN 11.186 -1.528 1970 10 14.986 -0.638 0 0 15.078 -0.546 14.748 -0.629 1970 11 18.145 -0.252 0 0 18.236 -0.161 17.643 -0.506 1970 12 19.808 -0.839 0 0 19.900 -0.748 19.567 -0.833 1971 1 22.240 -0.568 0 0 22.331 -0.476 22.105 -0.455 1971 2 NaN NaN NaN NaN NaN NaN 23.420 1.236 1971 3 21.846 1.766 1 0 NaN NaN 22.215 2.382 1971 4 NaN NaN NaN NaN NaN NaN 18.182 2.321 1971 5 13.134 0.380 1 0 NaN NaN 12.559 0.053 1971 6 10.019 -0.582 1 0 NaN NaN 10.393 0.039 1971 7 NaN NaN NaN NaN NaN NaN 9.205 -0.393 1971 8 NaN NaN NaN NaN NaN NaN 10.089 -0.452 1971 9 NaN NaN NaN NaN NaN NaN 12.301 -0.413 1971 10 NaN NaN NaN NaN NaN NaN 14.675 -0.702 1971 11 NaN NaN NaN NaN NaN NaN 16.771 -1.379 1971 12 NaN NaN NaN NaN NaN NaN 19.546 -0.854 1972 1 NaN NaN NaN NaN NaN NaN 21.733 -0.827 1972 2 20.825 -1.606 1 0 NaN NaN 22.463 0.279 1972 3 19.358 -0.722 0 2 18.942 -1.139 18.875 -0.958 1972 4 17.277 1.168 0 0 16.860 0.752 16.628 0.766 1972 5 13.645 0.892 0 0 13.229 0.475 13.051 0.545 1972 6 9.705 -0.897 0 0 9.289 -1.313 9.842 -0.513 1972 7 10.765 0.919 0 0 10.348 0.502 10.186 0.587 1972 8 12.963 2.174 0 0 12.546 1.758 11.509 0.968 1972 9 14.992 2.030 0 0 14.575 1.614 13.805 1.091 1972 10 16.756 1.132 0 0 16.340 0.716 15.701 0.324 1972 11 18.840 0.443 0 0 18.424 0.026 18.095 -0.055 1972 12 22.308 1.661 0 0 21.892 1.245 21.415 1.015 1973 1 25.212 2.404 0 0 24.795 1.988 24.725 2.165 1973 2 22.691 0.260 0 0 22.275 -0.157 22.307 0.123 1973 3 19.752 -0.329 0 0 19.335 -0.745 19.083 -0.750 1973 4 NaN NaN NaN NaN NaN NaN 16.728 0.866 1973 5 NaN NaN NaN NaN NaN NaN 13.489 0.983 1973 6 NaN NaN NaN NaN NaN NaN 9.401 -0.953 1973 7 NaN NaN NaN NaN NaN NaN 10.429 0.831 1973 8 NaN NaN NaN NaN NaN NaN 10.972 0.430 1973 9 NaN NaN NaN NaN NaN NaN 13.536 0.822 1973 10 NaN NaN NaN NaN NaN NaN 16.052 0.675 1973 11 NaN NaN NaN NaN NaN NaN 17.402 -0.748 1973 12 NaN NaN NaN NaN NaN NaN 21.490 1.090 1974 1 NaN NaN NaN NaN NaN NaN 23.800 1.240 1974 2 NaN NaN NaN NaN NaN NaN 21.361 -0.823 1974 3 NaN NaN NaN NaN NaN NaN 22.440 2.607