% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3764 % Primary Name: SPENCERS CREEK % Record Type: TAVG % Country: Australia % Latitude: -36.43330 +/- 0.00005 % Longitude: 148.35000 +/- 0.00005 % Elevation (m): 1767.80 +/- 0.05 % # of Months: 63 % % IDs: ghcnd - ASN00071029 % gsod - 949999-00260 % wban - 260 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % % Site Hash: 49146f612e097b60c8552699e6b4f5f9 % Raw Data Hash: 61607a815bbeecda21e50eab6d45e36b % Adj Data Hash: 0c6c356c05bb10f8a65a30e867d9d5ea % % 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 1961 1 NaN NaN NaN NaN NaN NaN 17.702 -0.018 1961 2 NaN NaN NaN NaN NaN NaN 17.211 -0.404 1961 3 NaN NaN NaN NaN NaN NaN 15.348 -0.175 1961 4 NaN NaN NaN NaN NaN NaN 12.161 0.781 1961 5 NaN NaN NaN NaN NaN NaN 6.873 -0.812 1961 6 NaN NaN NaN NaN NaN NaN 5.776 0.496 1961 7 NaN NaN NaN NaN NaN NaN 4.563 0.317 1961 8 NaN NaN NaN NaN NaN NaN 5.538 0.005 1961 9 NaN NaN NaN NaN NaN NaN 8.028 -0.071 1961 10 NaN NaN NaN NaN NaN NaN 12.604 1.671 1961 11 NaN NaN NaN NaN NaN NaN 14.026 0.495 1961 12 NaN NaN NaN NaN NaN NaN 16.264 0.243 1962 1 11.373 -0.316 0 0 11.373 -0.316 17.011 -0.710 1962 2 10.277 -1.305 0 0 10.277 -1.305 16.612 -1.003 1962 3 9.500 0.009 0 0 9.500 0.009 15.857 0.334 1962 4 6.397 1.049 0 0 6.397 1.049 11.299 -0.081 1962 5 0.713 -0.940 0 0 0.713 -0.940 7.040 -0.645 1962 6 0.459 1.212 0 0 0.459 1.212 6.336 1.057 1962 7 -0.237 1.549 0 0 -0.237 1.549 4.731 0.485 1962 8 -1.424 -0.925 0 0 -1.424 -0.925 5.525 -0.008 1962 9 1.055 -1.012 0 0 1.055 -1.012 8.076 -0.023 1962 10 2.248 -2.652 0 0 2.248 -2.652 9.441 -1.492 1962 11 7.585 0.086 0 0 7.585 0.086 13.510 -0.022 1962 12 9.379 -0.610 0 0 9.379 -0.610 15.504 -0.517 1963 1 11.321 -0.368 0 0 11.321 -0.368 17.326 -0.395 1963 2 10.966 -0.616 0 0 10.966 -0.616 16.756 -0.858 1963 3 9.739 0.248 0 0 9.739 0.248 15.861 0.338 1963 4 5.769 0.421 0 0 5.769 0.421 10.910 -0.470 1963 5 3.392 1.740 0 0 3.392 1.740 9.050 1.366 1963 6 -0.105 0.648 0 0 -0.105 0.648 5.633 0.354 1963 7 -1.960 -0.173 0 0 -1.960 -0.173 4.400 0.154 1963 8 -1.297 -0.798 0 0 -1.297 -0.798 5.306 -0.227 1963 9 0.953 -1.114 0 0 0.953 -1.114 8.157 0.058 1963 10 6.745 1.845 0 0 6.745 1.845 12.251 1.319 1963 11 7.135 -0.364 0 0 7.135 -0.364 12.812 -0.720 1963 12 10.202 0.213 0 0 10.202 0.213 16.208 0.187 1964 1 10.594 -1.095 0 0 10.594 -1.095 17.094 -0.627 1964 2 10.060 -1.522 0 0 10.060 -1.522 16.636 -0.978 1964 3 9.635 0.144 0 0 9.635 0.144 15.587 0.063 1964 4 7.023 1.676 0 0 7.023 1.676 12.265 0.885 1964 5 2.055 0.403 0 0 2.055 0.403 6.725 -0.959 1964 6 -0.613 0.139 0 0 -0.613 0.139 6.072 0.792 1964 7 -2.447 -0.661 0 0 -2.447 -0.661 4.166 -0.080 1964 8 -1.172 -0.673 0 0 -1.172 -0.673 5.545 0.011 1964 9 1.052 -1.015 0 0 1.052 -1.015 8.294 0.195 1964 10 1.361 -3.539 0 0 1.361 -3.539 9.295 -1.638 1964 11 7.222 -0.278 0 0 7.222 -0.278 13.901 0.370 1964 12 7.008 -2.981 0 0 7.008 -2.981 13.852 -2.169 1965 1 9.692 -1.997 0 0 9.692 -1.997 15.758 -1.962 1965 2 12.852 1.270 0 0 12.852 1.270 18.066 0.452 1965 3 10.676 1.185 0 0 10.676 1.185 15.944 0.421 1965 4 3.340 -2.008 0 0 3.340 -2.008 9.815 -1.565 1965 5 1.361 -0.291 0 0 1.361 -0.291 7.704 0.020 1965 6 0.732 1.484 0 0 0.732 1.484 4.732 -0.547 1965 7 -1.816 -0.030 0 0 -1.816 -0.030 3.767 -0.479 1965 8 -0.061 0.438 0 0 -0.061 0.438 6.262 0.729 1965 9 2.980 0.913 0 0 2.980 0.913 9.737 1.638 1965 10 6.710 1.809 0 0 6.710 1.809 12.132 1.199 1965 11 6.420 -1.079 0 0 6.420 -1.079 12.575 -0.957 1965 12 11.218 1.229 0 0 11.218 1.229 16.729 0.708 1966 1 12.037 0.348 0 0 12.037 0.348 17.927 0.206 1966 2 10.057 -1.525 0 0 10.057 -1.525 16.324 -1.290 1966 3 9.219 -0.272 0 0 9.219 -0.272 15.209 -0.314 1966 4 5.860 0.512 0 0 5.860 0.512 11.086 -0.293 1966 5 2.406 0.754 0 0 2.406 0.754 6.830 -0.855 1966 6 0.010 0.763 0 0 0.010 0.763 4.764 -0.515 1966 7 -2.668 -0.882 0 0 -2.668 -0.882 3.449 -0.797 1966 8 -1.768 -1.269 0 0 -1.768 -1.269 4.881 -0.653 1966 9 0.370 -1.697 0 0 0.370 -1.697 7.558 -0.541 1966 10 4.147 -0.754 0 0 4.147 -0.754 10.340 -0.593 1966 11 7.007 -0.492 0 0 7.007 -0.492 13.197 -0.335 1966 12 7.418 -2.571 1 0 NaN NaN 15.134 -0.886 1967 1 11.331 -0.358 0 0 11.331 -0.358 17.019 -0.702 1967 2 12.370 0.788 0 0 12.370 0.788 17.520 -0.095 1967 3 8.594 -0.897 0 0 8.594 -0.897 14.667 -0.857 1967 4 NaN NaN NaN NaN NaN NaN 11.988 0.608 1967 5 NaN NaN NaN NaN NaN NaN 8.014 0.329 1967 6 NaN NaN NaN NaN NaN NaN 6.979 1.699 1967 7 NaN NaN NaN NaN NaN NaN 4.396 0.150 1967 8 NaN NaN NaN NaN NaN NaN 5.482 -0.051 1967 9 NaN NaN NaN NaN NaN NaN 7.336 -0.763 1967 10 NaN NaN NaN NaN NaN NaN 11.867 0.934 1967 11 NaN NaN NaN NaN NaN NaN 13.340 -0.191 1967 12 NaN NaN NaN NaN NaN NaN 14.831 -1.190 1968 1 NaN NaN NaN NaN NaN NaN 18.478 0.757 1968 2 NaN NaN NaN NaN NaN NaN 20.105 2.491 1968 3 NaN NaN NaN NaN NaN NaN 17.648 2.125