% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3818 % Primary Name: MOIRA STATE FOREST % Record Type: TAVG % Country: Australia % Latitude: -36.01670 +/- 0.00005 % Longitude: 144.90000 +/- 0.00005 % Elevation (m): 105.20 +/- 0.50 % # of Months: 53 % % IDs: ghcnd - ASN00074077 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 0c100f2111c2c1e0f749cc9d156e2958 % Raw Data Hash: f5053b2352b9abe9ab6582fa3c7a57c4 % Adj Data Hash: 43b03543d48d69f8186f917106835da7 % % 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 20.992 -1.651 1964 2 NaN NaN NaN NaN NaN NaN 21.412 -1.079 1964 3 NaN NaN NaN NaN NaN NaN 19.809 -0.087 1964 4 NaN NaN NaN NaN NaN NaN 15.883 0.674 1964 5 NaN NaN NaN NaN NaN NaN 10.825 -0.640 1964 6 NaN NaN NaN NaN NaN NaN 9.568 0.510 1964 7 NaN NaN NaN NaN NaN NaN 7.945 -0.104 1964 8 NaN NaN NaN NaN NaN NaN 9.600 0.234 1964 9 NaN NaN NaN NaN NaN NaN 11.236 -0.365 1964 10 NaN NaN NaN NaN NaN NaN 12.821 -1.636 1964 11 NaN NaN NaN NaN NaN NaN 17.650 0.153 1964 12 NaN NaN NaN NaN NaN NaN 16.900 -3.399 1965 1 20.787 -1.920 0 0 20.787 -1.920 20.497 -2.146 1965 2 23.168 0.613 0 0 23.168 0.613 22.949 0.459 1965 3 19.002 -0.959 0 0 19.002 -0.959 19.461 -0.436 1965 4 12.978 -2.296 0 0 12.978 -2.296 13.368 -1.841 1965 5 11.777 0.248 0 0 11.777 0.248 11.853 0.388 1965 6 8.025 -1.098 0 0 8.025 -1.098 8.378 -0.681 1965 7 6.824 -1.290 0 0 6.824 -1.290 6.957 -1.093 1965 8 8.676 -0.755 1 0 NaN NaN 9.939 0.572 1965 9 12.610 0.944 1 0 NaN NaN 12.853 1.252 1965 10 16.844 2.322 0 0 16.844 2.322 16.405 1.948 1965 11 17.092 -0.470 0 0 17.092 -0.470 16.448 -1.049 1965 12 22.329 1.965 0 0 22.329 1.965 21.783 1.483 1966 1 24.306 1.599 0 0 24.306 1.599 23.844 1.201 1966 2 21.107 -1.448 0 0 21.107 -1.448 21.304 -1.186 1966 3 18.681 -1.280 0 0 18.681 -1.280 19.338 -0.558 1966 4 13.612 -1.662 0 0 13.612 -1.662 14.000 -1.210 1966 5 10.385 -1.144 0 0 10.385 -1.144 10.872 -0.593 1966 6 NaN NaN NaN NaN NaN NaN 7.201 -1.857 1966 7 6.955 -1.159 1 0 NaN NaN 7.262 -0.787 1966 8 8.694 -0.738 0 0 8.694 -0.738 8.958 -0.408 1966 9 11.540 -0.126 0 0 11.540 -0.126 11.524 -0.078 1966 10 14.432 -0.089 0 0 14.432 -0.089 13.941 -0.515 1966 11 18.368 0.807 0 0 18.368 0.807 17.708 0.211 1966 12 20.410 0.046 0 0 20.410 0.046 19.379 -0.920 1967 1 22.053 -0.654 0 0 22.053 -0.654 21.731 -0.912 1967 2 23.877 1.322 0 0 23.877 1.322 23.561 1.071 1967 3 18.861 -1.100 0 0 18.861 -1.100 19.671 -0.225 1967 4 16.393 1.119 0 0 16.393 1.119 16.311 1.102 1967 5 11.306 -0.223 0 0 11.306 -0.223 11.869 0.404 1967 6 10.393 1.270 0 0 10.393 1.270 10.731 1.673 1967 7 NaN NaN NaN NaN NaN NaN 7.981 -0.068 1967 8 8.761 -0.670 0 0 8.761 -0.670 8.988 -0.378 1967 9 11.598 -0.068 0 0 11.598 -0.068 11.404 -0.197 1967 10 15.715 1.193 0 0 15.715 1.193 15.439 0.982 1967 11 18.148 0.587 0 0 18.148 0.587 17.590 0.093 1967 12 19.390 -0.974 0 0 19.390 -0.974 18.639 -1.660 1968 1 24.624 1.917 0 0 24.624 1.917 24.180 1.538 1968 2 25.157 2.602 1 0 NaN NaN 24.858 2.368 1968 3 21.481 1.520 0 0 21.481 1.520 21.974 2.078 1968 4 16.905 1.631 0 0 16.905 1.631 16.901 1.692 1968 5 10.295 -1.235 1 0 NaN NaN 10.754 -0.712 1968 6 8.380 -0.743 0 0 8.380 -0.743 8.518 -0.540 1968 7 NaN NaN NaN NaN NaN NaN 7.136 -0.914 1968 8 8.935 -0.496 0 0 8.935 -0.496 9.182 -0.184 1968 9 10.557 -1.110 0 0 10.557 -1.110 10.630 -0.972 1968 10 13.752 -0.770 0 0 13.752 -0.770 13.545 -0.912 1968 11 17.300 -0.261 1 0 NaN NaN 16.332 -1.165 1968 12 20.266 -0.098 0 0 20.266 -0.098 19.624 -0.676 1969 1 24.356 1.649 0 0 24.356 1.649 24.356 1.713 1969 2 23.482 0.927 0 0 23.482 0.927 23.403 0.912 1969 3 NaN NaN NaN NaN NaN NaN 19.647 -0.250 1969 4 NaN NaN NaN NaN NaN NaN 14.846 -0.363 1969 5 10.287 -1.243 0 0 10.287 -1.243 10.793 -0.673 1969 6 7.907 -1.216 0 0 7.907 -1.216 8.294 -0.764 1969 7 8.950 0.836 0 0 8.950 0.836 8.463 0.414 1969 8 NaN NaN NaN NaN NaN NaN 10.237 0.871 1969 9 8.497 -3.169 1 0 NaN NaN 9.488 -2.114 1969 10 15.839 1.318 0 0 15.839 1.318 15.350 0.893 1969 11 NaN NaN NaN NaN NaN NaN 17.130 -0.367 1969 12 19.079 -1.285 0 0 19.079 -1.285 18.570 -1.730 1970 1 NaN NaN NaN NaN NaN NaN 21.334 -1.309 1970 2 NaN NaN NaN NaN NaN NaN 23.539 1.048 1970 3 NaN NaN NaN NaN NaN NaN 18.902 -0.994 1970 4 NaN NaN NaN NaN NaN NaN 15.777 0.568 1970 5 NaN NaN NaN NaN NaN NaN 10.534 -0.931 1970 6 NaN NaN NaN NaN NaN NaN 9.335 0.276 1970 7 NaN NaN NaN NaN NaN NaN 8.005 -0.044 1970 8 NaN NaN NaN NaN NaN NaN 9.050 -0.317 1970 9 NaN NaN NaN NaN NaN NaN 9.889 -1.712 1970 10 NaN NaN NaN NaN NaN NaN 13.689 -0.767 1970 11 NaN NaN NaN NaN NaN NaN 17.249 -0.248 1970 12 NaN NaN NaN NaN NaN NaN 20.276 -0.023