% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3594 % Primary Name: GEELONG SALINES (MOOLAP) % Record Type: TAVG % Country: Australia % Latitude: -38.15870 +/- 0.00005 % Longitude: 144.39540 +/- 0.00005 % Elevation (m): 4.00 +/- 0.50 % # of Months: 32 % % IDs: ghcnd - ASN00087023 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 1f1b74dfdfb824dbfc8b4160ec4046a2 % Raw Data Hash: 4927566abddcf04dae7fee2a62f413b4 % Adj Data Hash: 62eeb932d45677f70ff2700f4556fbf0 % % 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 18.225 -0.942 1964 2 NaN NaN NaN NaN NaN NaN 17.880 -1.368 1964 3 NaN NaN NaN NaN NaN NaN 16.589 -0.865 1964 4 NaN NaN NaN NaN NaN NaN 13.966 0.079 1964 5 NaN NaN NaN NaN NaN NaN 10.736 -0.209 1964 6 NaN NaN NaN NaN NaN NaN 9.474 0.627 1964 7 NaN NaN NaN NaN NaN NaN 7.830 -0.136 1964 8 NaN NaN NaN NaN NaN NaN 9.179 0.285 1964 9 NaN NaN NaN NaN NaN NaN 10.335 -0.342 1964 10 NaN NaN NaN NaN NaN NaN 11.602 -1.067 1964 11 NaN NaN NaN NaN NaN NaN 14.446 -0.278 1964 12 NaN NaN NaN NaN NaN NaN 14.195 -2.783 1965 1 17.107 -2.634 0 0 17.107 -2.634 17.044 -2.124 1965 2 18.702 -1.120 0 0 18.702 -1.120 19.329 0.081 1965 3 16.829 -1.198 0 0 16.829 -1.198 17.069 -0.384 1965 4 13.008 -1.453 0 0 13.008 -1.453 12.096 -1.791 1965 5 11.823 0.304 0 0 11.823 0.304 11.124 0.180 1965 6 9.275 -0.147 0 0 9.275 -0.147 8.605 -0.242 1965 7 8.218 -0.322 0 0 8.218 -0.322 7.091 -0.875 1965 8 10.548 1.081 0 0 10.548 1.081 9.315 0.422 1965 9 12.313 1.062 0 0 12.313 1.062 11.468 0.791 1965 10 14.255 1.012 0 0 14.255 1.012 13.959 1.290 1965 11 14.052 -1.246 0 0 14.052 -1.246 13.816 -0.908 1965 12 17.279 -0.273 1 0 NaN NaN 18.635 1.657 1966 1 19.966 0.225 1 0 NaN NaN 19.923 0.755 1966 2 18.182 -1.640 0 0 18.182 -1.640 18.087 -1.161 1966 3 18.523 0.495 0 0 18.523 0.495 17.400 -0.054 1966 4 14.752 0.290 0 0 14.752 0.290 12.851 -1.036 1966 5 12.297 0.778 0 0 12.297 0.778 10.804 -0.140 1966 6 9.072 -0.350 0 0 9.072 -0.350 7.644 -1.204 1966 7 8.421 -0.119 0 0 8.421 -0.119 7.354 -0.612 1966 8 9.173 -0.295 0 0 9.173 -0.295 8.387 -0.506 1966 9 11.158 -0.093 0 0 11.158 -0.093 10.772 0.094 1966 10 12.784 -0.459 0 0 12.784 -0.459 12.302 -0.367 1966 11 15.445 0.147 0 0 15.445 0.147 15.261 0.537 1966 12 16.640 -0.912 0 0 16.640 -0.912 16.207 -0.771 1967 1 17.076 -2.666 0 0 17.076 -2.666 17.807 -1.361 1967 2 19.911 0.089 0 0 19.911 0.089 20.553 1.305 1967 3 17.158 -0.869 0 0 17.158 -0.869 17.238 -0.215 1967 4 15.385 0.924 0 0 15.385 0.924 14.694 0.807 1967 5 12.368 0.849 0 0 12.368 0.849 11.414 0.470 1967 6 9.467 0.045 0 0 9.467 0.045 9.438 0.591 1967 7 9.265 0.724 0 0 9.265 0.724 7.954 -0.012 1967 8 9.555 0.087 0 0 9.555 0.087 8.455 -0.439 1967 9 NaN NaN NaN NaN NaN NaN 10.379 -0.299 1967 10 NaN NaN NaN NaN NaN NaN 13.405 0.736 1967 11 NaN NaN NaN NaN NaN NaN 14.980 0.256 1967 12 NaN NaN NaN NaN NaN NaN 15.601 -1.377 1968 1 NaN NaN NaN NaN NaN NaN 20.478 1.310 1968 2 NaN NaN NaN NaN NaN NaN 21.492 2.245 1968 3 NaN NaN NaN NaN NaN NaN 19.304 1.850 1968 4 NaN NaN NaN NaN NaN NaN 15.704 1.817 1968 5 NaN NaN NaN NaN NaN NaN 10.243 -0.702 1968 6 NaN NaN NaN NaN NaN NaN 8.343 -0.504 1968 7 NaN NaN NaN NaN NaN NaN 7.360 -0.606 1968 8 NaN NaN NaN NaN NaN NaN 8.554 -0.340