% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4937 % Primary Name: KARUMBA FLYING BASE % Record Type: TAVG % Country: Australia % Latitude: -17.47000 +/- 0.00500 % Longitude: 140.83000 +/- 0.00500 % Elevation (m): 9.00 +/- 0.05 % # of Months: 107 % % IDs: gsod - 949999-00137 % wban - 137 % % Sources: Global Summary of the Day % % Site Hash: ca7668353125f1ee7eb98952a9f61dd7 % Raw Data Hash: 4384c4132bfb392c927e079b8d1d0df1 % Adj Data Hash: ee18fa23c8248018a83bc0391134583b % % 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 1939 12 NaN NaN NaN NaN NaN NaN 28.852 0.194 1940 1 NaN NaN NaN NaN NaN NaN 27.316 -1.061 1940 2 NaN NaN NaN NaN NaN NaN 27.767 -0.831 1940 3 NaN NaN NaN NaN NaN NaN 28.026 -0.644 1940 4 NaN NaN NaN NaN NaN NaN 26.899 -0.970 1940 5 NaN NaN NaN NaN NaN NaN 24.885 -1.056 1940 6 NaN NaN NaN NaN NaN NaN 24.995 1.061 1940 7 NaN NaN NaN NaN NaN NaN 22.839 -0.442 1940 8 NaN NaN NaN NaN NaN NaN 23.787 -0.195 1940 9 NaN NaN NaN NaN NaN NaN 24.382 -1.060 1940 10 NaN NaN NaN NaN NaN NaN 26.096 -1.094 1940 11 NaN NaN NaN NaN NaN NaN 28.661 0.189 1940 12 28.873 0.939 0 0 29.225 1.291 29.021 0.363 1941 1 27.002 -0.651 0 0 27.613 -0.040 27.160 -1.217 1941 2 27.909 0.034 0 0 28.577 0.703 28.401 -0.198 1941 3 27.428 -0.517 0 0 28.152 0.207 28.504 -0.166 1941 4 25.693 -1.452 0 0 26.481 -0.664 27.087 -0.782 1941 5 23.869 -1.348 0 0 24.537 -0.680 25.758 -0.183 1941 6 19.526 -3.684 0 0 19.975 -3.235 22.404 -1.530 1941 7 19.280 -3.277 0 0 19.687 -2.869 22.171 -1.110 1941 8 19.991 -3.267 0 0 20.454 -2.804 21.879 -2.103 1941 9 22.748 -1.970 0 0 23.051 -1.667 24.269 -1.173 1941 10 25.805 -0.661 0 0 25.826 -0.640 26.247 -0.943 1941 11 27.915 0.166 0 0 27.944 0.195 27.867 -0.605 1941 12 28.978 1.045 0 0 29.331 1.397 28.817 0.159 1942 1 29.525 1.872 0 0 30.136 2.483 29.522 1.145 1942 2 28.018 0.143 0 0 28.686 0.812 28.641 0.042 1942 3 29.075 1.130 0 0 29.799 1.854 30.182 1.513 1942 4 27.815 0.670 0 0 28.603 1.458 29.319 1.450 1942 5 24.326 -0.891 0 0 24.994 -0.223 26.818 0.877 1942 6 23.004 -0.206 0 0 23.453 0.243 25.716 1.783 1942 7 21.323 -1.234 0 0 21.730 -0.826 24.383 1.102 1942 8 22.253 -1.005 0 0 22.716 -0.542 24.511 0.529 1942 9 25.617 0.899 0 0 25.919 1.201 26.549 1.106 1942 10 26.615 0.149 0 0 26.636 0.170 27.032 -0.158 1942 11 28.837 1.089 0 0 28.866 1.118 28.721 0.248 1942 12 28.011 0.077 0 0 28.363 0.429 27.671 -0.987 1943 1 NaN NaN NaN NaN NaN NaN 29.067 0.690 1943 2 NaN NaN NaN NaN NaN NaN 27.718 -0.881 1943 3 NaN NaN NaN NaN NaN NaN 28.212 -0.457 1943 4 NaN NaN NaN NaN NaN NaN 28.538 0.669 1943 5 NaN NaN NaN NaN NaN NaN 25.322 -0.619 1943 6 NaN NaN NaN NaN NaN NaN 22.266 -1.668 1943 7 NaN NaN NaN NaN NaN NaN 23.596 0.315 1943 8 NaN NaN NaN NaN NaN NaN 24.422 0.440 1943 9 NaN NaN NaN NaN NaN NaN 25.796 0.354 1943 10 NaN NaN NaN NaN NaN NaN 28.340 1.150 1943 11 NaN NaN NaN NaN NaN NaN 28.593 0.120 1943 12 NaN NaN NaN NaN NaN NaN 29.356 0.699 1944 1 30.179 2.527 0 2 29.986 2.333 29.369 0.992 1944 2 27.780 -0.095 0 0 27.568 -0.306 27.514 -1.084 1944 3 27.692 -0.253 0 0 27.463 -0.482 27.819 -0.850 1944 4 26.646 -0.498 0 0 26.397 -0.748 27.491 -0.378 1944 5 22.419 -2.797 0 0 22.208 -3.009 24.224 -1.717 1944 6 22.757 -0.452 0 0 22.615 -0.594 24.469 0.535 1944 7 20.341 -2.216 0 0 20.211 -2.345 23.060 -0.220 1944 8 21.685 -1.573 0 0 21.538 -1.720 23.508 -0.474 1944 9 24.444 -0.274 0 0 24.349 -0.369 25.336 -0.107 1944 10 26.511 0.045 0 0 26.504 0.038 26.582 -0.608 1944 11 28.146 0.398 0 0 28.137 0.389 28.257 -0.215 1944 12 28.946 1.012 0 0 28.835 0.901 28.641 -0.017 1945 1 29.030 1.378 0 0 28.837 1.185 28.690 0.313 1945 2 27.972 0.098 0 0 27.761 -0.114 28.487 -0.111 1945 3 27.869 -0.076 0 0 27.640 -0.305 28.460 -0.209 1945 4 27.037 -0.108 0 0 26.788 -0.357 27.595 -0.274 1945 5 23.265 -1.952 0 0 23.054 -2.163 24.612 -1.329 1945 6 22.059 -1.150 0 0 21.917 -1.292 24.504 0.570 1945 7 20.237 -2.320 0 0 20.107 -2.449 22.810 -0.470 1945 8 22.993 -0.265 0 0 22.846 -0.412 25.288 1.306 1945 9 24.744 0.026 0 0 24.649 -0.069 25.575 0.133 1945 10 26.441 -0.025 0 0 26.434 -0.032 26.551 -0.639 1945 11 28.098 0.350 0 0 28.089 0.341 28.117 -0.356 1945 12 28.382 0.448 0 0 28.270 0.337 28.092 -0.566 1946 1 28.272 0.620 0 0 28.079 0.426 27.982 -0.395 1946 2 28.069 0.195 0 0 27.858 -0.017 28.338 -0.260 1946 3 28.332 0.387 0 0 28.102 0.157 29.039 0.370 1946 4 26.193 -0.952 0 0 25.943 -1.202 27.045 -0.824 1946 5 23.709 -1.508 0 0 23.498 -1.719 26.064 0.123 1946 6 NaN NaN NaN NaN NaN NaN 21.677 -2.257 1946 7 20.109 -2.448 1 0 NaN NaN 22.809 -0.471 1946 8 NaN NaN NaN NaN NaN NaN 23.192 -0.790 1946 9 24.024 -0.694 0 0 23.928 -0.790 24.638 -0.804 1946 10 25.909 -0.557 0 0 25.902 -0.564 25.792 -1.398 1946 11 28.178 0.429 0 0 28.169 0.420 28.220 -0.253 1946 12 29.165 1.231 0 0 29.053 1.120 28.892 0.234 1947 1 30.070 2.417 0 0 29.877 2.224 29.510 1.133 1947 2 28.502 0.628 0 0 28.290 0.416 28.392 -0.206 1947 3 29.090 1.145 0 0 28.860 0.916 28.858 0.189 1947 4 28.004 0.859 0 0 27.754 0.610 26.419 -1.450 1947 5 27.299 2.082 0 0 27.088 1.871 26.254 0.313 1947 6 22.685 -0.524 0 0 22.543 -0.666 24.605 0.672 1947 7 22.186 -0.370 0 0 22.057 -0.499 24.027 0.747 1947 8 23.559 0.301 0 0 23.413 0.155 24.845 0.863 1947 9 24.635 -0.083 0 0 24.539 -0.179 25.459 0.017 1947 10 26.561 0.095 0 0 26.554 0.088 26.573 -0.617 1947 11 30.870 3.122 1 0 NaN NaN 28.715 0.243 1947 12 28.618 0.685 0 0 28.507 0.573 28.306 -0.352 1948 1 29.041 1.389 0 0 28.848 1.195 28.035 -0.342 1948 2 29.015 1.141 0 0 28.804 0.929 28.970 0.371 1948 3 28.674 0.729 0 0 28.445 0.500 28.887 0.218 1948 4 26.946 -0.198 0 0 26.697 -0.448 27.509 -0.360 1948 5 25.566 0.349 0 0 25.355 0.138 26.612 0.671 1948 6 21.957 -1.252 0 0 21.815 -1.394 23.800 -0.134 1948 7 22.629 0.073 0 0 22.500 -0.057 24.398 1.117 1948 8 23.068 -0.190 0 0 22.922 -0.336 23.904 -0.079 1948 9 23.676 -1.042 0 0 23.580 -1.138 24.114 -1.329 1948 10 27.034 0.568 0 0 27.027 0.562 27.389 0.199 1948 11 28.522 0.774 0 0 28.513 0.765 28.562 0.089 1948 12 28.864 0.930 0 0 28.752 0.819 28.268 -0.390 1949 1 28.538 0.886 0 0 28.345 0.692 28.273 -0.103 1949 2 28.140 0.265 0 0 27.928 0.054 28.246 -0.353 1949 3 27.443 -0.502 0 0 27.214 -0.731 28.109 -0.561 1949 4 26.569 -0.576 0 0 26.319 -0.826 26.947 -0.921 1949 5 23.095 -2.122 0 0 22.884 -2.333 24.947 -0.994 1949 6 19.331 -3.878 0 0 19.189 -4.020 21.456 -2.477 1949 7 20.722 -1.834 0 0 20.593 -1.963 22.582 -0.699 1949 8 22.801 -0.457 0 0 22.655 -0.603 23.680 -0.302 1949 9 24.814 0.096 0 0 24.718 0.000 25.256 -0.187 1949 10 27.170 0.704 0 0 27.164 0.698 27.412 0.223 1949 11 28.461 0.713 0 0 28.452 0.704 27.962 -0.511 1949 12 29.041 1.107 0 0 28.930 0.996 28.228 -0.430 1950 1 28.337 0.684 0 0 28.144 0.491 27.825 -0.551 1950 2 27.692 -0.182 0 0 27.481 -0.394 27.856 -0.743 1950 3 27.498 -0.447 0 0 27.269 -0.676 28.110 -0.559 1950 4 25.785 -1.360 0 0 25.536 -1.609 26.568 -1.301 1950 5 23.615 -1.602 0 0 23.403 -1.813 25.244 -0.697 1950 6 20.130 -3.080 0 0 19.988 -3.222 22.619 -1.315 1950 7 21.946 -0.610 0 0 21.817 -0.739 23.931 0.650 1950 8 22.142 -1.116 0 0 21.995 -1.263 23.219 -0.763 1950 9 24.996 0.278 0 0 24.901 0.182 25.225 -0.217 1950 10 27.019 0.553 0 0 27.012 0.546 26.751 -0.439 1950 11 27.739 -0.009 1 0 NaN NaN 27.977 -0.495 1950 12 27.091 -0.842 0 0 26.980 -0.954 26.612 -2.046 1951 1 NaN NaN NaN NaN NaN NaN 26.742 -1.634 1951 2 NaN NaN NaN NaN NaN NaN 28.043 -0.556 1951 3 NaN NaN NaN NaN NaN NaN 28.702 0.033 1951 4 NaN NaN NaN NaN NaN NaN 27.464 -0.405 1951 5 NaN NaN NaN NaN NaN NaN 25.243 -0.698 1951 6 NaN NaN NaN NaN NaN NaN 23.279 -0.654 1951 7 NaN NaN NaN NaN NaN NaN 22.772 -0.509 1951 8 NaN NaN NaN NaN NaN NaN 23.393 -0.589 1951 9 NaN NaN NaN NaN NaN NaN 24.818 -0.624 1951 10 NaN NaN NaN NaN NaN NaN 26.978 -0.212 1951 11 NaN NaN NaN NaN NaN NaN 28.401 -0.072 1951 12 NaN NaN NaN NaN NaN NaN 29.284 0.626