% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3661 % Primary Name: TARRAWARRA MONASTERY % Record Type: TAVG % Country: Australia % Latitude: -37.65940 +/- 0.00005 % Longitude: 145.44570 +/- 0.00005 % Elevation (m): 100.00 +/- 0.50 % # of Months: 103 % % IDs: ghcnd - ASN00086364 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 3d3f0bb93080342a5de55b6f4c6ae143 % Raw Data Hash: e74d0a0d4c0c43e1ff92bed3933c23fb % Adj Data Hash: 6b0266ffc62037d9db68f4587569cbca % % 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 1986 1 NaN NaN NaN NaN NaN NaN 15.407 -2.096 1986 2 NaN NaN NaN NaN NaN NaN 16.694 -1.092 1986 3 NaN NaN NaN NaN NaN NaN 17.397 1.541 1986 4 NaN NaN NaN NaN NaN NaN 12.232 0.085 1986 5 NaN NaN NaN NaN NaN NaN 9.867 0.698 1986 6 NaN NaN NaN NaN NaN NaN 6.796 -0.300 1986 7 NaN NaN NaN NaN NaN NaN 5.882 -0.099 1986 8 NaN NaN NaN NaN NaN NaN 7.226 0.451 1986 9 NaN NaN NaN NaN NaN NaN 8.863 0.147 1986 10 NaN NaN NaN NaN NaN NaN 9.874 -1.162 1986 11 NaN NaN NaN NaN NaN NaN 12.812 -0.343 1986 12 NaN NaN NaN NaN NaN NaN 14.039 -1.343 1987 1 18.179 -1.547 0 0 18.179 -1.547 15.801 -1.701 1987 2 19.334 -0.676 0 0 19.334 -0.676 17.400 -0.386 1987 3 16.085 -1.995 0 0 16.085 -1.995 14.012 -1.845 1987 4 15.645 1.275 0 0 15.645 1.275 13.005 0.859 1987 5 12.319 0.927 0 0 12.319 0.927 9.939 0.771 1987 6 10.485 1.165 0 0 10.485 1.165 7.910 0.814 1987 7 8.271 0.066 0 0 8.271 0.066 5.584 -0.398 1987 8 10.577 1.579 0 0 10.577 1.579 7.347 0.572 1987 9 13.177 2.237 0 0 13.177 2.237 9.799 1.083 1987 10 13.539 0.280 0 0 13.539 0.280 10.888 -0.147 1987 11 16.775 1.395 0 0 16.775 1.395 13.930 0.774 1987 12 17.213 -0.393 0 0 17.213 -0.393 14.849 -0.534 1988 1 21.596 1.869 0 0 21.596 1.869 19.844 2.341 1988 2 19.078 -0.932 0 0 19.078 -0.932 17.109 -0.678 1988 3 18.913 0.833 0 0 18.913 0.833 16.910 1.053 1988 4 16.277 1.907 0 0 16.277 1.907 13.861 1.715 1988 5 13.840 2.448 0 0 13.840 2.448 11.399 2.231 1988 6 10.642 1.322 0 0 10.642 1.322 8.058 0.962 1988 7 9.918 1.712 0 0 9.918 1.712 7.359 1.378 1988 8 11.029 2.031 0 0 11.029 2.031 7.647 0.872 1988 9 12.922 1.982 0 0 12.922 1.982 9.877 1.161 1988 10 14.276 1.017 0 0 14.276 1.017 11.580 0.545 1988 11 16.072 0.692 0 0 16.072 0.692 13.394 0.239 1988 12 19.277 1.671 0 0 19.277 1.671 16.590 1.208 1989 1 18.774 -0.953 0 0 18.774 -0.953 16.873 -0.630 1989 2 20.291 0.281 0 0 20.291 0.281 18.541 0.755 1989 3 18.667 0.587 0 0 18.667 0.587 17.367 1.510 1989 4 14.942 0.572 0 0 14.942 0.572 13.633 1.487 1989 5 12.640 1.248 0 0 12.640 1.248 10.944 1.775 1989 6 8.553 -0.766 0 0 8.553 -0.766 6.939 -0.157 1989 7 8.103 -0.102 0 0 8.103 -0.102 5.954 -0.028 1989 8 8.908 -0.090 0 0 8.908 -0.090 6.046 -0.729 1989 9 11.532 0.592 0 0 11.532 0.592 8.845 0.129 1989 10 13.169 -0.090 0 0 13.169 -0.090 10.373 -0.663 1989 11 16.785 1.405 0 0 16.785 1.405 14.222 1.066 1989 12 18.376 0.769 0 0 18.376 0.769 15.831 0.448 1990 1 20.019 0.293 0 0 20.019 0.293 18.134 0.632 1990 2 19.193 -0.817 0 0 19.193 -0.817 17.535 -0.251 1990 3 18.556 0.476 0 0 18.556 0.476 16.964 1.107 1990 4 15.790 1.420 0 0 15.790 1.420 13.683 1.536 1990 5 11.698 0.306 0 0 11.698 0.306 10.096 0.928 1990 6 9.598 0.279 0 0 9.598 0.279 7.359 0.263 1990 7 9.960 1.754 0 0 9.960 1.754 7.020 1.039 1990 8 9.644 0.645 0 0 9.644 0.645 6.964 0.190 1990 9 11.650 0.710 0 0 11.650 0.710 8.971 0.255 1990 10 14.247 0.988 0 0 14.247 0.988 11.901 0.866 1990 11 16.184 0.804 0 0 16.184 0.804 13.958 0.802 1990 12 19.119 1.513 0 0 19.119 1.513 16.616 1.234 1991 1 20.705 0.978 0 0 20.705 0.978 18.509 1.007 1991 2 19.458 -0.552 0 0 19.458 -0.552 17.870 0.084 1991 3 17.350 -0.730 0 0 17.350 -0.730 15.833 -0.023 1991 4 13.738 -0.632 0 0 13.738 -0.632 11.916 -0.231 1991 5 10.993 -0.399 0 0 10.993 -0.399 9.901 0.732 1991 6 11.512 2.192 0 0 11.512 2.192 9.675 2.580 1991 7 9.184 0.979 0 0 9.184 0.979 6.786 0.804 1991 8 9.405 0.407 0 0 9.405 0.407 6.657 -0.118 1991 9 11.005 0.065 0 0 11.005 0.065 8.397 -0.319 1991 10 14.769 1.510 0 0 14.769 1.510 12.505 1.470 1991 11 14.756 -0.623 0 0 14.756 -0.623 12.892 -0.263 1991 12 17.515 -0.091 0 0 17.515 -0.091 15.016 -0.366 1992 1 16.658 -3.068 0 0 16.658 -3.068 15.390 -2.112 1992 2 NaN NaN NaN NaN NaN NaN 16.910 -0.876 1992 3 19.115 1.035 0 0 19.115 1.035 17.333 1.476 1992 4 15.223 0.853 0 0 15.223 0.853 12.879 0.733 1992 5 11.819 0.427 0 0 11.819 0.427 9.875 0.706 1992 6 9.283 -0.037 0 0 9.283 -0.037 7.122 0.027 1992 7 9.532 1.327 0 0 9.532 1.327 6.611 0.630 1992 8 9.039 0.040 0 0 9.039 0.040 6.082 -0.693 1992 9 9.947 -0.993 0 0 9.947 -0.993 7.291 -1.425 1992 10 14.519 1.260 0 0 14.519 1.260 11.438 0.403 1992 11 14.695 -0.685 0 0 14.695 -0.685 11.939 -1.217 1992 12 19.003 1.397 0 0 19.003 1.397 15.973 0.590 1993 1 20.452 0.725 0 0 20.452 0.725 18.183 0.681 1993 2 19.863 -0.148 0 0 19.863 -0.148 17.928 0.142 1993 3 16.764 -1.317 0 0 16.764 -1.317 15.510 -0.347 1993 4 14.976 0.606 0 0 14.976 0.606 13.415 1.269 1993 5 11.351 -0.042 1 0 NaN NaN 9.756 0.588 1993 6 9.385 0.065 0 0 9.385 0.065 7.289 0.194 1993 7 9.342 1.137 0 0 9.342 1.137 7.188 1.207 1993 8 10.750 1.752 0 0 10.750 1.752 8.294 1.519 1993 9 NaN NaN NaN NaN NaN NaN 9.393 0.677 1993 10 12.838 -0.422 0 0 12.838 -0.422 10.581 -0.455 1993 11 14.250 -1.130 0 0 14.250 -1.130 12.579 -0.577 1993 12 16.492 -1.114 0 0 16.492 -1.114 14.678 -0.704 1994 1 17.679 -2.047 0 0 17.679 -2.047 16.192 -1.311 1994 2 20.386 0.376 0 0 20.386 0.376 18.228 0.442 1994 3 16.035 -2.045 0 0 16.035 -2.045 14.460 -1.397 1994 4 14.393 0.023 0 0 14.393 0.023 12.553 0.407 1994 5 NaN NaN NaN NaN NaN NaN 9.602 0.434 1994 6 NaN NaN NaN NaN NaN NaN 7.873 0.777 1994 7 NaN NaN NaN NaN NaN NaN 6.808 0.826 1994 8 NaN NaN NaN NaN NaN NaN 6.288 -0.486 1994 9 NaN NaN NaN NaN NaN NaN 7.569 -1.147 1994 10 NaN NaN NaN NaN NaN NaN 11.263 0.227 1994 11 14.131 -1.248 0 0 14.131 -1.248 12.780 -0.375 1994 12 20.212 2.605 0 0 20.212 2.605 17.592 2.210 1995 1 NaN NaN NaN NaN NaN NaN 18.539 1.036 1995 2 20.734 0.724 1 0 NaN NaN 18.333 0.546 1995 3 16.512 -1.568 0 0 16.512 -1.568 14.741 -1.115 1995 4 12.218 -2.152 0 0 12.218 -2.152 9.953 -2.194 1995 5 NaN NaN NaN NaN NaN NaN 9.545 0.377 1995 6 NaN NaN NaN NaN NaN NaN 7.508 0.412 1995 7 NaN NaN NaN NaN NaN NaN 5.540 -0.441 1995 8 NaN NaN NaN NaN NaN NaN 8.072 1.298 1995 9 NaN NaN NaN NaN NaN NaN 8.201 -0.515 1995 10 NaN NaN NaN NaN NaN NaN 10.457 -0.578 1995 11 15.465 0.086 0 0 15.465 0.086 13.005 -0.151 1995 12 15.310 -2.297 0 0 15.310 -2.297 13.277 -2.106 1996 1 18.824 -0.902 0 0 18.824 -0.902 16.868 -0.635 1996 2 17.678 -2.333 0 0 17.678 -2.333 15.631 -2.156 1996 3 16.906 -1.174 0 0 16.906 -1.174 15.237 -0.620 1996 4 13.023 -1.347 0 0 13.023 -1.347 10.494 -1.652 1996 5 NaN NaN NaN NaN NaN NaN 9.778 0.610 1996 6 NaN NaN NaN NaN NaN NaN 7.587 0.491 1996 7 NaN NaN NaN NaN NaN NaN 6.289 0.307 1996 8 NaN NaN NaN NaN NaN NaN 7.376 0.602 1996 9 NaN NaN NaN NaN NaN NaN 8.904 0.188 1996 10 NaN NaN NaN NaN NaN NaN 11.707 0.672 1996 11 14.192 -1.188 0 0 14.192 -1.188 11.725 -1.431 1996 12 15.619 -1.987 0 0 15.619 -1.987 13.714 -1.668 1997 1 20.906 1.180 0 0 20.906 1.180 18.495 0.992 1997 2 23.438 3.427 0 0 23.438 3.427 20.773 2.987 1997 3 16.439 -1.642 0 0 16.439 -1.642 14.851 -1.006 1997 4 14.248 -0.122 0 0 14.248 -0.122 12.207 0.061 1997 5 NaN NaN NaN NaN NaN NaN 9.516 0.347 1997 6 NaN NaN NaN NaN NaN NaN 7.696 0.600 1997 7 NaN NaN NaN NaN NaN NaN 5.759 -0.223 1997 8 NaN NaN NaN NaN NaN NaN 6.690 -0.085 1997 9 NaN NaN NaN NaN NaN NaN 8.684 -0.032 1997 10 NaN NaN NaN NaN NaN NaN 11.671 0.636 1997 11 NaN NaN NaN NaN NaN NaN 14.351 1.196 1997 12 NaN NaN NaN NaN NaN NaN 16.121 0.738 1998 1 NaN NaN NaN NaN NaN NaN 19.200 1.698 1998 2 NaN NaN NaN NaN NaN NaN 18.220 0.434 1998 3 NaN NaN NaN NaN NaN NaN 16.561 0.705 1998 4 NaN NaN NaN NaN NaN NaN 11.877 -0.269