% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4887 % Primary Name: TOWNSVILLE AUSTRALIA/GARBUTT % Record Type: TAVG % Country: Australia % Latitude: -19.24900 +/- 0.00050 % Longitude: 146.74900 +/- 0.00050 % Elevation (m): 6.00 +/- 0.05 % # of Months: 34 % % IDs: gsod - 749441-99999 % icao - ABTL % usaf - 749441 % % Sources: Global Summary of the Day % % Site Hash: 36ee5ae3e79cb51b938e47cbd605e610 % Raw Data Hash: 5deddcea440f5c206220ba76806e31c4 % Adj Data Hash: d5fa530d2b375767fe68479810faf78d % % 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 1941 12 NaN NaN NaN NaN NaN NaN 25.174 -0.599 1942 1 NaN NaN NaN NaN NaN NaN 26.554 0.077 1942 2 NaN NaN NaN NaN NaN NaN 27.280 0.427 1942 3 NaN NaN NaN NaN NaN NaN 26.886 0.528 1942 4 NaN NaN NaN NaN NaN NaN 25.658 0.731 1942 5 NaN NaN NaN NaN NaN NaN 23.727 0.247 1942 6 NaN NaN NaN NaN NaN NaN 23.059 1.336 1942 7 NaN NaN NaN NaN NaN NaN 21.886 1.021 1942 8 NaN NaN NaN NaN NaN NaN 22.049 0.901 1942 9 NaN NaN NaN NaN NaN NaN 22.337 0.582 1942 10 NaN NaN NaN NaN NaN NaN 22.831 -0.256 1942 11 NaN NaN NaN NaN NaN NaN 24.476 -0.309 1942 12 25.643 -0.396 1 0 NaN NaN 25.043 -0.730 1943 1 27.711 0.968 0 0 27.677 0.934 25.936 -0.541 1943 2 26.702 -0.417 0 0 26.668 -0.451 26.052 -0.801 1943 3 25.708 -0.917 0 0 25.674 -0.951 25.346 -1.012 1943 4 26.076 0.883 0 0 26.042 0.849 25.911 0.985 1943 5 22.321 -1.426 0 0 22.286 -1.460 23.436 -0.044 1943 6 18.776 -3.214 0 0 18.742 -3.248 20.408 -1.315 1943 7 20.487 -0.644 0 0 20.453 -0.678 21.862 0.997 1943 8 21.824 0.410 0 0 21.790 0.376 22.462 1.314 1943 9 24.107 2.086 0 0 24.073 2.052 23.170 1.415 1943 10 26.579 3.226 0 0 26.545 3.191 24.374 1.288 1943 11 27.315 2.263 0 0 27.280 2.229 24.854 0.069 1943 12 29.235 3.195 0 0 29.200 3.161 26.980 1.207 1944 1 29.364 2.621 0 0 29.329 2.586 27.567 1.090 1944 2 27.420 0.300 1 0 NaN NaN 26.602 -0.251 1944 3 26.315 -0.309 0 0 26.281 -0.343 25.717 -0.641 1944 4 23.993 -1.200 0 0 23.958 -1.234 24.008 -0.918 1944 5 21.104 -2.642 0 0 21.070 -2.677 22.239 -1.241 1944 6 20.293 -1.697 0 0 20.258 -1.731 21.640 -0.084 1944 7 19.685 -1.447 0 4 19.729 -1.402 21.151 0.286 1944 8 20.179 -1.235 0 0 20.224 -1.190 20.799 -0.349 1944 9 22.337 0.315 0 0 22.382 0.360 21.283 -0.472 1944 10 24.134 0.781 0 0 24.179 0.826 22.267 -0.820 1944 11 25.199 0.147 1 0 NaN NaN 24.458 -0.328 1944 12 27.998 1.959 0 0 28.043 2.004 25.914 0.141 1945 1 28.151 1.407 0 0 28.195 1.452 26.378 -0.099 1945 2 27.893 0.774 0 0 27.938 0.819 26.858 0.005 1945 3 26.473 -0.151 0 0 26.518 -0.106 25.898 -0.460 1945 4 24.507 -0.685 0 0 24.552 -0.640 24.243 -0.683 1945 5 21.738 -2.008 0 0 21.783 -1.963 22.495 -0.985 1945 6 21.087 -0.902 0 0 21.132 -0.858 22.582 0.859 1945 7 19.527 -1.605 0 0 19.572 -1.560 20.891 0.026 1945 8 21.287 -0.127 0 0 21.332 -0.083 22.192 1.045 1945 9 22.031 0.009 1 0 NaN NaN 22.092 0.336 1945 10 NaN NaN NaN NaN NaN NaN 22.583 -0.504 1945 11 NaN NaN NaN NaN NaN NaN 24.670 -0.116 1945 12 NaN NaN NaN NaN NaN NaN 25.637 -0.136 1946 1 NaN NaN NaN NaN NaN NaN 26.366 -0.110 1946 2 NaN NaN NaN NaN NaN NaN 26.913 0.060 1946 3 NaN NaN NaN NaN NaN NaN 26.911 0.553 1946 4 NaN NaN NaN NaN NaN NaN 24.584 -0.342 1946 5 NaN NaN NaN NaN NaN NaN 23.571 0.091 1946 6 NaN NaN NaN NaN NaN NaN 19.932 -1.791 1946 7 NaN NaN NaN NaN NaN NaN 20.364 -0.501 1946 8 NaN NaN NaN NaN NaN NaN 21.007 -0.141 1946 9 NaN NaN NaN NaN NaN NaN 21.397 -0.358