% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4602 % Primary Name: OODNADATTA POLICE STATION % Record Type: TAVG % Country: Australia % Latitude: -27.54450 +/- 0.00005 % Longitude: 135.44390 +/- 0.00005 % Elevation (m): 120.00 +/- 0.50 % # of Months: 51 % % IDs: ghcnd - ASN00017114 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 0a671c3e067991dda0effb27d5af6594 % Raw Data Hash: 2ae119db5d8e956cb5e4f4665aa60382 % Adj Data Hash: f7a2ee04c6993a50118cee7111a327b6 % % 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 1984 9 NaN NaN NaN NaN NaN NaN 15.894 -2.046 1984 10 NaN NaN NaN NaN NaN NaN 22.141 0.279 1984 11 NaN NaN NaN NaN NaN NaN 25.263 -0.020 1984 12 NaN NaN NaN NaN NaN NaN 28.245 0.442 1985 1 NaN NaN NaN NaN NaN NaN 30.259 0.579 1985 2 NaN NaN NaN NaN NaN NaN 29.775 0.776 1985 3 NaN NaN NaN NaN NaN NaN 27.612 1.363 1985 4 NaN NaN NaN NaN NaN NaN 20.743 -0.285 1985 5 NaN NaN NaN NaN NaN NaN 15.934 -0.150 1985 6 NaN NaN NaN NaN NaN NaN 12.537 -0.750 1985 7 NaN NaN NaN NaN NaN NaN 13.076 0.619 1985 8 NaN NaN NaN NaN NaN NaN 14.858 0.670 1985 9 16.214 -2.381 0 0 16.214 -2.381 16.054 -1.885 1985 10 21.259 -1.258 0 0 21.259 -1.258 20.533 -1.329 1985 11 25.271 -0.667 1 0 NaN NaN 24.732 -0.551 1985 12 27.837 -0.621 0 0 27.837 -0.621 26.847 -0.957 1986 1 NaN NaN NaN NaN NaN NaN 29.497 -0.183 1986 2 28.501 -1.152 1 0 NaN NaN 29.488 0.490 1986 3 29.602 2.699 0 0 29.602 2.699 29.527 3.279 1986 4 21.486 -0.196 0 0 21.486 -0.196 21.080 0.052 1986 5 NaN NaN NaN NaN NaN NaN 17.320 1.236 1986 6 13.262 -0.680 0 0 13.262 -0.680 13.459 0.172 1986 7 11.791 -1.320 0 0 11.791 -1.320 11.539 -0.918 1986 8 15.141 0.299 1 0 NaN NaN 13.889 -0.298 1986 9 NaN NaN NaN NaN NaN NaN 18.256 0.316 1986 10 21.413 -1.103 0 0 21.413 -1.103 20.235 -1.627 1986 11 26.104 0.166 0 0 26.104 0.166 25.273 -0.011 1986 12 NaN NaN NaN NaN NaN NaN 26.886 -0.918 1987 1 NaN NaN NaN NaN NaN NaN 29.695 0.016 1987 2 26.632 -3.022 1 0 NaN NaN 28.040 -0.959 1987 3 24.035 -2.868 0 0 24.035 -2.868 24.144 -2.104 1987 4 NaN NaN NaN NaN NaN NaN 22.117 1.089 1987 5 16.120 -0.619 0 0 16.120 -0.619 15.758 -0.326 1987 6 13.672 -0.270 0 0 13.672 -0.270 13.871 0.584 1987 7 NaN NaN NaN NaN NaN NaN 12.786 0.329 1987 8 13.626 -1.217 0 0 13.626 -1.217 13.149 -1.039 1987 9 19.091 0.497 0 0 19.091 0.497 18.471 0.531 1987 10 24.307 1.791 0 0 24.307 1.791 22.920 1.058 1987 11 28.811 2.873 1 0 NaN NaN 26.570 1.287 1987 12 29.963 1.505 0 0 29.963 1.505 28.646 0.842 1988 1 31.485 1.151 0 0 31.485 1.151 30.999 1.320 1988 2 27.681 -1.973 1 0 NaN NaN 27.473 -1.526 1988 3 NaN NaN NaN NaN NaN NaN 26.507 0.259 1988 4 21.762 0.080 0 0 21.762 0.080 21.601 0.573 1988 5 18.223 1.484 1 0 NaN NaN 17.621 1.537 1988 6 14.500 0.558 0 0 14.500 0.558 14.497 1.210 1988 7 14.558 1.447 1 0 NaN NaN 13.597 1.141 1988 8 NaN NaN NaN NaN NaN NaN 14.227 0.039 1988 9 18.707 0.112 0 0 18.707 0.112 18.971 1.031 1988 10 NaN NaN NaN NaN NaN NaN 24.881 3.019 1988 11 NaN NaN NaN NaN NaN NaN 23.977 -1.306 1988 12 29.038 0.580 0 0 29.038 0.580 28.068 0.264 1989 1 29.477 -0.857 0 0 29.477 -0.857 28.828 -0.852 1989 2 30.402 0.748 0 0 30.402 0.748 29.845 0.847 1989 3 25.558 -1.345 1 0 NaN NaN 25.590 -0.658 1989 4 NaN NaN NaN NaN NaN NaN 20.662 -0.365 1989 5 NaN NaN NaN NaN NaN NaN 16.436 0.352 1989 6 NaN NaN NaN NaN NaN NaN 11.799 -1.488 1989 7 11.823 -1.289 1 0 NaN NaN 11.541 -0.916 1989 8 NaN NaN NaN NaN NaN NaN 12.130 -2.057 1989 9 NaN NaN NaN NaN NaN NaN 17.789 -0.151 1989 10 NaN NaN NaN NaN NaN NaN 22.197 0.335 1989 11 25.334 -0.604 1 0 NaN NaN 24.505 -0.779 1989 12 29.550 1.092 0 0 29.550 1.092 28.707 0.903 1990 1 32.516 2.182 0 0 32.516 2.182 30.998 1.318 1990 2 27.746 -1.908 0 0 27.746 -1.908 27.079 -1.920 1990 3 27.852 0.949 0 0 27.852 0.949 27.728 1.479 1990 4 21.741 0.059 0 0 21.741 0.059 21.262 0.235 1990 5 18.606 1.868 0 0 18.606 1.868 17.886 1.802 1990 6 14.043 0.102 1 0 NaN NaN 13.442 0.155 1990 7 14.092 0.980 0 0 14.092 0.980 13.543 1.086 1990 8 15.552 0.709 0 0 15.552 0.709 14.276 0.088 1990 9 19.161 0.567 0 0 19.161 0.567 18.519 0.579 1990 10 23.828 1.312 0 0 23.828 1.312 22.864 1.003 1990 11 29.785 3.847 0 0 29.785 3.847 28.163 2.880 1990 12 30.371 1.913 0 0 30.371 1.913 29.241 1.437 1991 1 31.466 1.132 0 0 31.466 1.132 31.005 1.326 1991 2 33.686 4.032 0 0 33.686 4.032 31.698 2.699 1991 3 28.333 1.430 0 0 28.333 1.430 27.054 0.806 1991 4 NaN NaN NaN NaN NaN NaN 21.908 0.880 1991 5 16.674 -0.065 0 0 16.674 -0.065 16.244 0.159 1991 6 NaN NaN NaN NaN NaN NaN 16.211 2.923 1991 7 NaN NaN NaN NaN NaN NaN 13.974 1.517 1991 8 NaN NaN NaN NaN NaN NaN 14.759 0.572 1991 9 NaN NaN NaN NaN NaN NaN 19.765 1.825 1991 10 NaN NaN NaN NaN NaN NaN 23.877 2.016 1991 11 NaN NaN NaN NaN NaN NaN 25.921 0.638 1991 12 NaN NaN NaN NaN NaN NaN 26.568 -1.236 1992 1 NaN NaN NaN NaN NaN NaN 27.929 -1.751 1992 2 NaN NaN NaN NaN NaN NaN 29.620 0.621 1992 3 NaN NaN NaN NaN NaN NaN 28.135 1.887 1992 4 NaN NaN NaN NaN NaN NaN 22.378 1.351 1992 5 NaN NaN NaN NaN NaN NaN 16.589 0.505