% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4061 % Primary Name: BREAKSEA % Record Type: TAVG % Country: Australia % Latitude: -34.10000 +/- 0.05000 % Longitude: -160.10000 +/- 0.05000 % Elevation (m): 0.00 +/- 10.00 % # of Months: 36 % % IDs: hadcru - 999096 % % Sources: Hadley Centre Data Release % % Site Hash: 0d5f416ac49d740ae2ef86b9bfc37318 % Raw Data Hash: a14b012d4aacdcc20f1a2658e772d1d4 % Adj Data Hash: a14b012d4aacdcc20f1a2658e772d1d4 % % 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 1896 1 NaN NaN NaN NaN NaN NaN 18.596 -0.042 1896 2 NaN NaN NaN NaN NaN NaN 18.594 -0.604 1896 3 NaN NaN NaN NaN NaN NaN 18.312 -0.402 1896 4 NaN NaN NaN NaN NaN NaN 16.863 -0.367 1896 5 NaN NaN NaN NaN NaN NaN 14.410 -0.717 1896 6 NaN NaN NaN NaN NaN NaN 12.926 -0.504 1896 7 NaN NaN NaN NaN NaN NaN 12.331 -0.284 1896 8 NaN NaN NaN NaN NaN NaN 12.131 -0.699 1896 9 NaN NaN NaN NaN NaN NaN 13.009 -0.476 1896 10 NaN NaN NaN NaN NaN NaN 14.010 -0.378 1896 11 NaN NaN NaN NaN NaN NaN 14.833 -1.065 1896 12 NaN NaN NaN NaN NaN NaN 16.431 -0.958 1897 1 17.700 -1.159 0 0 17.700 -1.159 17.546 -1.092 1897 2 17.700 -1.719 0 0 17.700 -1.719 17.567 -1.631 1897 3 17.400 -1.534 0 0 17.400 -1.534 17.318 -1.396 1897 4 16.500 -0.951 0 0 16.500 -0.951 16.457 -0.773 1897 5 14.700 -0.648 0 0 14.700 -0.648 14.510 -0.617 1897 6 13.300 -0.351 0 0 13.300 -0.351 12.995 -0.435 1897 7 13.300 0.465 0 0 13.300 0.465 12.918 0.303 1897 8 12.200 -0.851 0 0 12.200 -0.851 12.086 -0.744 1897 9 13.900 0.195 0 0 13.900 0.195 13.641 0.156 1897 10 13.300 -1.308 0 0 13.300 -1.308 13.243 -1.145 1897 11 15.700 -0.418 0 0 15.700 -0.418 15.396 -0.501 1897 12 16.600 -1.009 0 0 16.600 -1.009 16.317 -1.072 1898 1 18.300 -0.559 0 0 18.300 -0.559 18.068 -0.570 1898 2 18.400 -1.019 0 0 18.400 -1.019 18.226 -0.972 1898 3 18.100 -0.834 0 0 18.100 -0.834 17.615 -1.099 1898 4 16.300 -1.151 0 0 16.300 -1.151 16.096 -1.134 1898 5 15.800 0.452 0 0 15.800 0.452 15.339 0.212 1898 6 12.400 -1.251 0 0 12.400 -1.251 12.301 -1.129 1898 7 12.700 -0.135 0 0 12.700 -0.135 12.266 -0.349 1898 8 13.400 0.349 0 0 13.400 0.349 13.060 0.230 1898 9 14.100 0.395 0 0 14.100 0.395 13.832 0.347 1898 10 14.100 -0.508 0 0 14.100 -0.508 13.794 -0.594 1898 11 15.100 -1.018 0 0 15.100 -1.018 14.947 -0.950 1898 12 17.400 -0.209 0 0 17.400 -0.209 17.141 -0.248 1899 1 17.900 -0.959 0 0 17.900 -0.959 17.844 -0.795 1899 2 18.700 -0.719 0 0 18.700 -0.719 18.475 -0.723 1899 3 18.100 -0.834 0 0 18.100 -0.834 17.947 -0.767 1899 4 16.000 -1.451 0 0 16.000 -1.451 15.996 -1.234 1899 5 14.900 -0.448 0 0 14.900 -0.448 14.770 -0.357 1899 6 13.300 -0.351 0 0 13.300 -0.351 13.030 -0.401 1899 7 12.600 -0.235 0 0 12.600 -0.235 12.213 -0.402 1899 8 12.900 -0.151 0 0 12.900 -0.151 12.529 -0.301 1899 9 12.900 -0.805 0 0 12.900 -0.805 12.904 -0.581 1899 10 14.200 -0.408 0 0 14.200 -0.408 14.026 -0.362 1899 11 15.300 -0.818 0 0 15.300 -0.818 15.234 -0.663 1899 12 17.400 -0.209 0 0 17.400 -0.209 17.013 -0.376 1900 1 NaN NaN NaN NaN NaN NaN 17.394 -1.244 1900 2 NaN NaN NaN NaN NaN NaN 18.500 -0.699 1900 3 NaN NaN NaN NaN NaN NaN 17.983 -0.731 1900 4 NaN NaN NaN NaN NaN NaN 16.942 -0.288 1900 5 NaN NaN NaN NaN NaN NaN 14.844 -0.283 1900 6 NaN NaN NaN NaN NaN NaN 12.958 -0.472 1900 7 NaN NaN NaN NaN NaN NaN 12.048 -0.567 1900 8 NaN NaN NaN NaN NaN NaN 12.467 -0.364 1900 9 NaN NaN NaN NaN NaN NaN 13.276 -0.209 1900 10 NaN NaN NaN NaN NaN NaN 14.856 0.469 1900 11 NaN NaN NaN NaN NaN NaN 15.337 -0.560 1900 12 NaN NaN NaN NaN NaN NaN 16.942 -0.447