% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3970 % Primary Name: GOULBURN % Record Type: TAVG % Country: Australia % Latitude: -34.75000 +/- 0.00005 % Longitude: 149.86670 +/- 0.00005 % Elevation (m): 701.60 +/- 0.05 % # of Months: 63 % % IDs: ghcnd - ASN00070037 % gsod - 949999-00254 % wban - 254 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % % Site Hash: 303b7ebeaf8855f790550b2130413ed0 % Raw Data Hash: ea36887f6f8510b8cffd20f45fae80cd % Adj Data Hash: a1ff3e1c55d3be16c49e49600e8ee20c % % 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 19.248 -0.569 1961 2 NaN NaN NaN NaN NaN NaN 19.237 -0.384 1961 3 NaN NaN NaN NaN NaN NaN 17.625 -0.086 1961 4 NaN NaN NaN NaN NaN NaN 14.046 0.414 1961 5 NaN NaN NaN NaN NaN NaN 8.999 -0.827 1961 6 NaN NaN NaN NaN NaN NaN 7.762 0.250 1961 7 NaN NaN NaN NaN NaN NaN 6.186 -0.139 1961 8 NaN NaN NaN NaN NaN NaN 7.164 -0.415 1961 9 NaN NaN NaN NaN NaN NaN 9.853 -0.206 1961 10 NaN NaN NaN NaN NaN NaN 14.565 1.646 1961 11 NaN NaN NaN NaN NaN NaN 15.981 0.295 1961 12 NaN NaN NaN NaN NaN NaN 17.954 -0.320 1962 1 18.968 -1.229 0 0 18.968 -1.229 18.400 -1.417 1962 2 19.282 -0.719 0 0 19.282 -0.719 18.679 -0.942 1962 3 18.405 0.314 0 0 18.405 0.314 17.764 0.054 1962 4 14.043 0.032 0 0 14.043 0.032 13.289 -0.342 1962 5 9.381 -0.825 0 0 9.381 -0.825 8.984 -0.841 1962 6 8.913 1.022 0 0 8.913 1.022 8.690 1.178 1962 7 7.560 0.854 0 0 7.560 0.854 7.021 0.696 1962 8 7.950 -0.009 0 0 7.950 -0.009 7.569 -0.010 1962 9 10.505 0.065 0 0 10.505 0.065 9.996 -0.063 1962 10 12.297 -1.002 0 0 12.297 -1.002 11.657 -1.261 1962 11 17.488 1.422 0 0 17.488 1.422 15.955 0.269 1962 12 18.326 -0.329 0 0 18.326 -0.329 17.304 -0.970 1963 1 NaN NaN NaN NaN NaN NaN 19.108 -0.709 1963 2 20.414 0.413 0 0 20.414 0.413 19.142 -0.479 1963 3 18.060 -0.031 0 0 18.060 -0.031 18.034 0.324 1963 4 13.715 -0.297 0 0 13.715 -0.297 13.558 -0.073 1963 5 11.955 1.749 0 0 11.955 1.749 11.233 1.407 1963 6 7.683 -0.208 0 0 7.683 -0.208 7.833 0.322 1963 7 6.505 -0.201 0 0 6.505 -0.201 6.287 -0.038 1963 8 7.923 -0.037 0 0 7.923 -0.037 7.450 -0.129 1963 9 10.903 0.464 0 0 10.903 0.464 9.962 -0.097 1963 10 15.015 1.716 0 0 15.015 1.716 13.646 0.728 1963 11 15.657 -0.409 0 0 15.657 -0.409 14.574 -1.112 1963 12 19.542 0.887 0 0 19.542 0.887 18.484 0.209 1964 1 20.397 0.200 0 0 20.397 0.200 19.517 -0.299 1964 2 19.529 -0.472 1 0 NaN NaN 18.822 -0.799 1964 3 17.885 -0.205 0 0 17.885 -0.205 17.999 0.288 1964 4 14.288 0.277 0 0 14.288 0.277 14.158 0.526 1964 5 8.973 -1.233 0 0 8.973 -1.233 8.837 -0.989 1964 6 7.812 -0.080 0 0 7.812 -0.080 8.117 0.606 1964 7 6.366 -0.339 0 0 6.366 -0.339 6.340 0.015 1964 8 7.776 -0.184 0 0 7.776 -0.184 7.589 0.010 1964 9 10.725 0.285 0 0 10.725 0.285 10.371 0.311 1964 10 11.693 -1.605 0 0 11.693 -1.605 11.241 -1.678 1964 11 17.132 1.066 0 0 17.132 1.066 16.018 0.333 1964 12 17.445 -1.209 0 0 17.445 -1.209 16.706 -1.568 1965 1 19.561 -0.636 0 0 19.561 -0.636 18.175 -1.642 1965 2 NaN NaN NaN NaN NaN NaN 20.311 0.690 1965 3 18.874 0.783 0 0 18.874 0.783 18.565 0.855 1965 4 12.980 -1.032 0 0 12.980 -1.032 12.464 -1.167 1965 5 10.187 -0.019 0 0 10.187 -0.019 9.753 -0.072 1965 6 6.667 -1.225 0 0 6.667 -1.225 7.320 -0.192 1965 7 5.905 -0.801 0 0 5.905 -0.801 5.828 -0.497 1965 8 8.245 0.286 0 0 8.245 0.286 8.328 0.749 1965 9 12.805 2.365 0 0 12.805 2.365 12.224 2.164 1965 10 14.950 1.651 0 0 14.950 1.651 14.362 1.444 1965 11 15.288 -0.778 0 0 15.288 -0.778 14.788 -0.897 1965 12 19.600 0.945 0 0 19.600 0.945 18.854 0.580 1966 1 21.074 0.877 0 0 21.074 0.877 20.037 0.220 1966 2 19.155 -0.846 0 0 19.155 -0.846 18.681 -0.939 1966 3 17.445 -0.646 0 0 17.445 -0.646 17.493 -0.217 1966 4 13.923 -0.088 0 0 13.923 -0.088 13.751 0.119 1966 5 8.660 -1.546 0 0 8.660 -1.546 8.843 -0.982 1966 6 6.990 -0.902 0 0 6.990 -0.902 7.413 -0.099 1966 7 5.035 -1.670 0 0 5.035 -1.670 5.355 -0.970 1966 8 6.584 -1.375 0 0 6.584 -1.375 7.089 -0.490 1966 9 9.400 -1.040 0 0 9.400 -1.040 9.567 -0.493 1966 10 12.385 -0.913 0 0 12.385 -0.913 12.258 -0.660 1966 11 15.220 -0.846 0 0 15.220 -0.846 15.267 -0.419 1966 12 17.065 -1.590 0 0 17.065 -1.590 17.293 -0.981 1967 1 19.452 -0.746 0 0 19.452 -0.746 19.307 -0.510 1967 2 18.650 -1.351 1 0 NaN NaN 18.988 -0.632 1967 3 15.971 -2.120 0 0 15.971 -2.120 16.391 -1.319 1967 4 14.515 0.503 0 0 14.515 0.503 14.286 0.655 1967 5 12.795 2.590 1 0 NaN NaN 10.079 0.254 1967 6 NaN NaN NaN NaN NaN NaN 9.592 2.080 1967 7 NaN NaN NaN NaN NaN NaN 6.544 0.219 1967 8 NaN NaN NaN NaN NaN NaN 7.350 -0.229 1967 9 NaN NaN NaN NaN NaN NaN 9.481 -0.578 1967 10 NaN NaN NaN NaN NaN NaN 14.002 1.084 1967 11 NaN NaN NaN NaN NaN NaN 16.001 0.315 1967 12 NaN NaN NaN NaN NaN NaN 17.415 -0.859 1968 1 NaN NaN NaN NaN NaN NaN 20.254 0.437 1968 2 NaN NaN NaN NaN NaN NaN 21.775 2.154 1968 3 NaN NaN NaN NaN NaN NaN 19.942 2.232 1968 4 NaN NaN NaN NaN NaN NaN 15.360 1.729 1968 5 NaN NaN NaN NaN NaN NaN 9.354 -0.471