% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4327 % Primary Name: KALAMUNDA % Record Type: TAVG % Country: Australia % Latitude: -31.98220 +/- 0.00005 % Longitude: 116.05940 +/- 0.00005 % Elevation (m): 210.00 +/- 0.50 % # of Months: 28 % % IDs: ghcnd - ASN00009058 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 6f00f78a7f0c4e8afe80b3e3c06f17ff % Raw Data Hash: 3ecf123ab9913e35a06c5a60f99ddd3b % Adj Data Hash: 75d784b0c36b59609c0834799c3ba24f % % 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 1990 2 NaN NaN NaN NaN NaN NaN 25.012 -0.486 1990 3 NaN NaN NaN NaN NaN NaN 23.745 0.550 1990 4 NaN NaN NaN NaN NaN NaN 18.246 -0.200 1990 5 NaN NaN NaN NaN NaN NaN 14.972 0.284 1990 6 NaN NaN NaN NaN NaN NaN 10.742 -1.516 1990 7 NaN NaN NaN NaN NaN NaN 10.248 -0.877 1990 8 NaN NaN NaN NaN NaN NaN 10.918 -0.487 1990 9 NaN NaN NaN NaN NaN NaN 14.082 0.772 1990 10 NaN NaN NaN NaN NaN NaN 15.801 -0.403 1990 11 NaN NaN NaN NaN NaN NaN 20.248 0.175 1990 12 NaN NaN NaN NaN NaN NaN 23.324 -0.171 1991 1 NaN NaN NaN NaN NaN NaN 26.336 0.603 1991 2 23.955 -0.516 1 0 NaN NaN 26.148 0.650 1991 3 NaN NaN NaN NaN NaN NaN 23.540 0.346 1991 4 NaN NaN NaN NaN NaN NaN 20.030 1.584 1991 5 NaN NaN NaN NaN NaN NaN 15.660 0.972 1991 6 NaN NaN NaN NaN NaN NaN 13.441 1.183 1991 7 NaN NaN NaN NaN NaN NaN 11.774 0.649 1991 8 12.845 2.468 1 0 NaN NaN 11.903 0.499 1991 9 13.547 1.264 0 0 13.547 1.264 13.679 0.369 1991 10 17.137 1.960 0 0 17.137 1.960 17.963 1.759 1991 11 16.715 -2.330 1 0 NaN NaN 18.510 -1.563 1991 12 22.135 -0.332 0 0 22.135 -0.332 24.234 0.739 1992 1 25.235 0.531 0 0 25.235 0.531 26.705 0.972 1992 2 22.828 -1.643 0 0 22.828 -1.643 24.633 -0.866 1992 3 NaN NaN NaN NaN NaN NaN 23.249 0.055 1992 4 19.197 1.779 0 0 19.197 1.779 19.160 0.714 1992 5 14.424 0.763 0 0 14.424 0.763 14.213 -0.476 1992 6 13.023 1.793 1 0 NaN NaN 13.292 1.034 1992 7 12.865 2.767 0 0 12.865 2.767 12.499 1.374 1992 8 NaN NaN NaN NaN NaN NaN 11.281 -0.123 1992 9 11.969 -0.313 1 0 NaN NaN 11.883 -1.427 1992 10 15.565 0.388 0 0 15.565 0.388 16.390 0.186 1992 11 16.955 -2.090 0 0 16.955 -2.090 18.754 -1.318 1992 12 20.216 -2.251 0 0 20.216 -2.251 22.991 -0.504 1993 1 23.311 -1.393 0 0 23.311 -1.393 26.891 1.159 1993 2 21.675 -2.796 1 0 NaN NaN 24.831 -0.668 1993 3 19.969 -2.197 0 0 19.969 -2.197 22.142 -1.052 1993 4 17.450 0.032 0 0 17.450 0.032 18.860 0.415 1993 5 14.679 1.018 0 0 14.679 1.018 14.438 -0.250 1993 6 11.975 0.744 0 0 11.975 0.744 11.693 -0.565 1993 7 11.518 1.421 0 0 11.518 1.421 11.120 -0.004 1993 8 11.548 1.172 0 0 11.548 1.172 11.084 -0.321 1993 9 13.122 0.839 0 0 13.122 0.839 13.109 -0.201 1993 10 13.718 -1.459 0 0 13.718 -1.459 14.715 -1.490 1993 11 19.175 0.130 0 0 19.175 0.130 21.343 1.271 1993 12 21.219 -1.248 0 0 21.219 -1.248 23.777 0.283 1994 1 NaN NaN NaN NaN NaN NaN 25.598 -0.134 1994 2 NaN NaN NaN NaN NaN NaN 23.677 -1.822 1994 3 NaN NaN NaN NaN NaN NaN 25.155 1.961 1994 4 NaN NaN NaN NaN NaN NaN 20.276 1.831 1994 5 NaN NaN NaN NaN NaN NaN 16.413 1.724 1994 6 NaN NaN NaN NaN NaN NaN 12.545 0.287 1994 7 NaN NaN NaN NaN NaN NaN 12.434 1.309 1994 8 NaN NaN NaN NaN NaN NaN 12.623 1.219 1994 9 NaN NaN NaN NaN NaN NaN 14.778 1.468 1994 10 NaN NaN NaN NaN NaN NaN 16.897 0.693 1994 11 NaN NaN NaN NaN NaN NaN 21.468 1.395 1994 12 NaN NaN NaN NaN NaN NaN 24.743 1.248