% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4302 % Primary Name: CEDUNA POST OFFICE % Record Type: TAVG % Country: Australia % Latitude: -32.12670 +/- 0.00005 % Longitude: 133.67250 +/- 0.00005 % Elevation (m): 10.00 +/- 0.50 % # of Months: 130 % % IDs: ghcnd - ASN00018011 % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 7927611ce984b9c3f59e19d7c6b6d60c % Raw Data Hash: a6ac9270f13a586d06c34d3f8bb79b26 % Adj Data Hash: 67ef11772eefc86cf57c07ea4e14b862 % % 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 1938 4 NaN NaN NaN NaN NaN NaN 18.500 0.572 1938 5 NaN NaN NaN NaN NaN NaN 14.831 0.699 1938 6 NaN NaN NaN NaN NaN NaN 10.858 -0.755 1938 7 NaN NaN NaN NaN NaN NaN 10.945 0.255 1938 8 NaN NaN NaN NaN NaN NaN 11.113 -0.687 1938 9 NaN NaN NaN NaN NaN NaN 15.055 0.305 1938 10 NaN NaN NaN NaN NaN NaN 18.107 0.312 1938 11 NaN NaN NaN NaN NaN NaN 22.495 1.750 1938 12 NaN NaN NaN NaN NaN NaN 23.607 0.991 1939 1 NaN NaN NaN NaN NaN NaN 27.628 3.255 1939 2 NaN NaN NaN NaN NaN NaN 24.863 0.838 1939 3 NaN NaN NaN NaN NaN NaN 21.039 -0.756 1939 4 17.357 0.171 0 0 17.357 0.171 17.810 -0.119 1939 5 15.873 2.484 0 0 15.873 2.484 15.516 1.385 1939 6 12.445 1.575 0 0 12.445 1.575 11.990 0.377 1939 7 NaN NaN NaN NaN NaN NaN 10.228 -0.462 1939 8 12.211 1.154 0 0 12.211 1.154 11.611 -0.189 1939 9 13.640 -0.367 0 0 13.640 -0.367 13.933 -0.817 1939 10 16.493 -0.560 1 0 NaN NaN 17.483 -0.313 1939 11 18.160 -1.841 0 0 18.160 -1.841 19.617 -1.128 1939 12 18.555 -3.318 0 0 18.555 -3.318 20.764 -1.851 1940 1 20.564 -3.065 0 0 20.564 -3.065 24.002 -0.371 1940 2 19.812 -3.470 0 0 19.812 -3.470 22.612 -1.413 1940 3 23.453 2.401 0 0 23.453 2.401 24.655 2.860 1940 4 16.023 -1.162 0 0 16.023 -1.162 16.144 -1.784 1940 5 12.845 -0.544 0 0 12.845 -0.544 12.592 -1.539 1940 6 11.695 0.825 0 0 11.695 0.825 11.103 -0.509 1940 7 12.131 2.184 0 0 12.131 2.184 11.103 0.413 1940 8 12.673 1.616 0 0 12.673 1.616 11.882 0.082 1940 9 14.528 0.521 0 0 14.528 0.521 14.713 -0.037 1940 10 18.121 1.068 0 0 18.121 1.068 19.515 1.719 1940 11 17.172 -2.830 0 0 17.172 -2.830 19.005 -1.739 1940 12 20.276 -1.597 0 0 20.276 -1.597 22.797 0.182 1941 1 19.168 -4.462 0 0 19.168 -4.462 21.897 -2.475 1941 2 20.002 -3.281 0 0 20.002 -3.281 22.646 -1.379 1941 3 18.845 -2.207 0 0 18.845 -2.207 20.385 -1.410 1941 4 19.307 2.121 0 0 19.307 2.121 19.758 1.829 1941 5 13.582 0.193 0 0 13.582 0.193 13.304 -0.828 1941 6 12.893 2.024 0 0 12.893 2.024 11.955 0.342 1941 7 12.315 2.368 0 0 12.315 2.368 11.483 0.793 1941 8 12.795 1.738 0 0 12.795 1.738 12.029 0.229 1941 9 14.492 0.485 0 0 14.492 0.485 14.802 0.052 1941 10 15.161 -1.891 0 0 15.161 -1.891 16.367 -1.429 1941 11 19.683 -0.318 0 0 19.683 -0.318 22.058 1.313 1941 12 20.905 -0.968 0 0 20.905 -0.968 23.366 0.750 1942 1 21.800 -1.830 0 0 21.800 -1.830 24.296 -0.076 1942 2 19.455 -3.827 0 0 19.455 -3.827 22.403 -1.622 1942 3 21.190 0.138 0 0 21.190 0.138 22.788 0.992 1942 4 17.062 -0.124 0 0 17.062 -0.124 17.753 -0.175 1942 5 15.185 1.797 0 0 15.185 1.797 15.045 0.913 1942 6 12.267 1.397 0 0 12.267 1.397 11.724 0.111 1942 7 11.761 1.815 0 0 11.761 1.815 10.697 0.008 1942 8 13.039 1.982 0 0 13.039 1.982 12.474 0.674 1942 9 15.380 1.373 0 0 15.380 1.373 15.209 0.459 1942 10 17.861 0.809 0 0 17.861 0.809 17.986 0.190 1942 11 18.803 -1.198 0 0 18.803 -1.198 20.538 -0.207 1942 12 19.963 -1.910 1 0 NaN NaN 22.648 0.032 1943 1 22.627 -1.002 0 0 22.627 -1.002 24.555 0.182 1943 2 22.704 -0.579 0 0 22.704 -0.579 24.604 0.578 1943 3 21.874 0.822 0 0 21.874 0.822 24.125 2.330 1943 4 16.388 -0.797 0 0 16.388 -0.797 16.805 -1.124 1943 5 12.242 -1.147 1 0 NaN NaN 11.974 -2.158 1943 6 11.787 0.918 1 0 NaN NaN 11.037 -0.575 1943 7 10.965 1.018 0 0 10.965 1.018 9.970 -0.720 1943 8 10.882 -0.175 0 0 10.882 -0.175 10.103 -1.697 1943 9 13.330 -0.677 0 0 13.330 -0.677 14.017 -0.733 1943 10 15.413 -1.640 0 0 15.413 -1.640 16.624 -1.172 1943 11 16.747 -3.255 0 0 16.747 -3.255 19.028 -1.716 1943 12 18.695 -3.178 0 0 18.695 -3.178 21.480 -1.135 1944 1 20.926 -2.704 0 0 20.926 -2.704 23.887 -0.486 1944 2 21.555 -1.727 0 0 21.555 -1.727 23.336 -0.690 1944 3 21.150 0.098 0 0 21.150 0.098 22.426 0.631 1944 4 15.792 -1.394 0 0 15.792 -1.394 16.287 -1.641 1944 5 13.132 -0.257 0 0 13.132 -0.257 12.780 -1.352 1944 6 11.237 0.367 0 0 11.237 0.367 10.578 -1.035 1944 7 11.090 1.144 0 0 11.090 1.144 10.211 -0.478 1944 8 11.992 0.935 0 0 11.992 0.935 11.714 -0.086 1944 9 16.552 2.545 0 0 16.552 2.545 16.799 2.049 1944 10 16.795 -0.257 0 0 16.795 -0.257 18.001 0.205 1944 11 20.937 0.935 0 0 20.937 0.935 22.812 2.068 1944 12 20.523 -1.350 0 0 20.523 -1.350 22.364 -0.252 1945 1 19.982 -3.647 0 0 19.982 -3.647 22.818 -1.555 1945 2 19.561 -3.722 0 0 19.561 -3.722 22.167 -1.858 1945 3 18.739 -2.314 0 0 18.739 -2.314 20.736 -1.059 1945 4 17.680 0.495 0 0 17.680 0.495 18.202 0.273 1945 5 14.855 1.466 0 0 14.855 1.466 14.466 0.334 1945 6 13.433 2.564 0 0 13.433 2.564 12.799 1.186 1945 7 10.494 0.547 0 0 10.494 0.547 9.802 -0.888 1945 8 12.782 1.725 0 0 12.782 1.725 12.377 0.577 1945 9 14.307 0.300 0 0 14.307 0.300 14.548 -0.202 1945 10 16.189 -0.864 0 0 16.189 -0.864 16.725 -1.071 1945 11 17.572 -2.430 0 0 17.572 -2.430 19.573 -1.172 1945 12 22.495 0.622 0 0 22.495 0.622 24.032 1.416 1946 1 22.610 -1.020 0 0 22.610 -1.020 24.755 0.383 1946 2 20.098 -3.184 0 0 20.098 -3.184 22.043 -1.982 1946 3 19.792 -1.260 0 0 19.792 -1.260 20.472 -1.323 1946 4 14.435 -2.750 0 0 14.435 -2.750 14.944 -2.985 1946 5 15.387 1.998 0 0 15.387 1.998 15.088 0.956 1946 6 11.202 0.332 0 0 11.202 0.332 10.347 -1.266 1946 7 12.574 2.628 0 0 12.574 2.628 11.789 1.099 1946 8 13.300 2.243 0 0 13.300 2.243 12.543 0.743 1946 9 13.643 -0.364 0 0 13.643 -0.364 14.169 -0.581 1946 10 15.337 -1.716 0 0 15.337 -1.716 16.517 -1.278 1946 11 18.805 -1.196 0 0 18.805 -1.196 20.588 -0.157 1946 12 21.329 -0.544 0 0 21.329 -0.544 22.462 -0.154 1947 1 NaN NaN NaN NaN NaN NaN 24.633 0.260 1947 2 23.539 0.257 0 0 23.539 0.257 26.003 1.978 1947 3 19.393 -1.659 0 0 19.393 -1.659 21.501 -0.294 1947 4 17.998 0.813 1 0 NaN NaN 17.873 -0.056 1947 5 15.855 2.466 0 0 15.855 2.466 15.147 1.015 1947 6 14.062 3.192 0 0 14.062 3.192 13.033 1.421 1947 7 11.898 1.952 0 0 11.898 1.952 11.058 0.368 1947 8 12.600 1.543 0 0 12.600 1.543 11.571 -0.229 1947 9 14.390 0.383 0 0 14.390 0.383 14.570 -0.180 1947 10 15.799 -1.253 1 0 NaN NaN 17.006 -0.790 1947 11 17.482 -2.520 0 0 17.482 -2.520 19.411 -1.333 1947 12 19.652 -2.221 0 0 19.652 -2.221 21.685 -0.931 1948 1 21.476 -2.154 0 0 21.476 -2.154 24.199 -0.174 1948 2 21.198 -2.084 0 0 21.198 -2.084 23.606 -0.420 1948 3 17.819 -3.233 0 0 17.819 -3.233 19.867 -1.928 1948 4 17.125 -0.060 0 0 17.125 -0.060 17.238 -0.690 1948 5 13.845 0.456 0 0 13.845 0.456 13.229 -0.903 1948 6 11.650 0.780 0 0 11.650 0.780 10.807 -0.805 1948 7 12.013 2.066 0 0 12.013 2.066 11.037 0.347 1948 8 13.389 2.332 0 0 13.389 2.332 12.839 1.039 1948 9 15.727 1.720 0 0 15.727 1.720 15.689 0.939 1948 10 16.355 -0.698 0 0 16.355 -0.698 17.279 -0.517 1948 11 17.392 -2.610 0 0 17.392 -2.610 19.689 -1.055 1948 12 20.476 -1.397 0 0 20.476 -1.397 22.078 -0.538 1949 1 19.900 -3.730 0 0 19.900 -3.730 22.769 -1.604 1949 2 NaN NaN NaN NaN NaN NaN 20.751 -3.275 1949 3 18.611 -2.441 0 0 18.611 -2.441 20.452 -1.343 1949 4 15.985 -1.200 0 0 15.985 -1.200 16.735 -1.194 1949 5 14.089 0.700 0 0 14.089 0.700 13.423 -0.709 1949 6 10.977 0.107 0 0 10.977 0.107 9.998 -1.615 1949 7 12.326 2.379 0 0 12.326 2.379 11.416 0.726 1949 8 13.479 2.422 0 0 13.479 2.422 12.480 0.681 1949 9 14.097 0.090 0 0 14.097 0.090 14.064 -0.686 1949 10 16.505 -0.548 0 0 16.505 -0.548 17.191 -0.605 1949 11 18.520 -1.481 0 0 18.520 -1.481 19.777 -0.968 1949 12 20.929 -0.944 1 0 NaN NaN 22.728 0.113 1950 1 NaN NaN NaN NaN NaN NaN 23.460 -0.913 1950 2 NaN NaN NaN NaN NaN NaN 22.584 -1.441 1950 3 NaN NaN NaN NaN NaN NaN 20.317 -1.478 1950 4 NaN NaN NaN NaN NaN NaN 17.906 -0.023 1950 5 NaN NaN NaN NaN NaN NaN 16.056 1.924 1950 6 NaN NaN NaN NaN NaN NaN 10.917 -0.696 1950 7 NaN NaN NaN NaN NaN NaN 10.131 -0.559 1950 8 NaN NaN NaN NaN NaN NaN 12.127 0.327 1950 9 NaN NaN NaN NaN NaN NaN 15.307 0.557 1950 10 NaN NaN NaN NaN NaN NaN 16.819 -0.977 1950 11 NaN NaN NaN NaN NaN NaN 21.061 0.317 1950 12 NaN NaN NaN NaN NaN NaN 23.871 1.255 1951 1 23.034 -0.596 1 0 NaN NaN 26.008 1.635 1951 2 22.663 -0.620 1 0 NaN NaN 25.339 1.313 1951 3 19.923 -1.130 1 0 NaN NaN 22.722 0.927 1951 4 NaN NaN NaN NaN NaN NaN 17.011 -0.917 1951 5 14.862 1.473 1 0 NaN NaN 14.050 -0.082 1951 6 NaN NaN NaN NaN NaN NaN 12.088 0.476 1951 7 NaN NaN NaN NaN NaN NaN 10.654 -0.036 1951 8 NaN NaN NaN NaN NaN NaN 10.271 -1.529 1951 9 NaN NaN NaN NaN NaN NaN 15.581 0.831 1951 10 NaN NaN NaN NaN NaN NaN 17.407 -0.388 1951 11 NaN NaN NaN NaN NaN NaN 21.294 0.550 1951 12 NaN NaN NaN NaN NaN NaN 23.767 1.152 1952 1 NaN NaN NaN NaN NaN NaN 24.484 0.112 1952 2 NaN NaN NaN NaN NaN NaN 22.155 -1.871 1952 3 NaN NaN NaN NaN NaN NaN 21.543 -0.252 1952 4 NaN NaN NaN NaN NaN NaN 16.015 -1.913 1952 5 NaN NaN NaN NaN NaN NaN 13.959 -0.172