% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 4641 % Primary Name: MEEKATHARRA POST OFFICE % Record Type: TAVG % Country: Australia % Latitude: -26.60000 +/- 0.00500 % Longitude: 118.48000 +/- 0.00500 % Elevation (m): 511.00 +/- 0.05 % # of Months: 67 % % IDs: gsod - 949999-00024 % wban - 24 % % Sources: Global Summary of the Day % % Site Hash: b844920005fa26eeb7fe21fb9ad91778 % Raw Data Hash: 0bbb9b88d5bf9457b97097c8050036e3 % Adj Data Hash: d31c64b07a7ac04921d437749c35a996 % % 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 1943 1 NaN NaN NaN NaN NaN NaN 31.013 -0.175 1943 2 NaN NaN NaN NaN NaN NaN 29.079 -1.220 1943 3 NaN NaN NaN NaN NaN NaN 29.268 0.926 1943 4 NaN NaN NaN NaN NaN NaN 22.651 -0.228 1943 5 NaN NaN NaN NaN NaN NaN 17.942 0.312 1943 6 NaN NaN NaN NaN NaN NaN 14.702 0.382 1943 7 NaN NaN NaN NaN NaN NaN 11.917 -1.300 1943 8 NaN NaN NaN NaN NaN NaN 13.443 -1.189 1943 9 NaN NaN NaN NaN NaN NaN 17.607 -0.667 1943 10 NaN NaN NaN NaN NaN NaN 22.236 0.439 1943 11 NaN NaN NaN NaN NaN NaN 25.820 -0.154 1943 12 NaN NaN NaN NaN NaN NaN 29.788 0.518 1944 1 32.903 1.567 0 0 32.903 1.567 32.544 1.355 1944 2 30.920 0.472 0 0 30.920 0.472 30.420 0.121 1944 3 28.373 -0.118 0 0 28.373 -0.118 29.028 0.686 1944 4 22.752 -0.276 0 0 22.752 -0.276 22.633 -0.247 1944 5 17.100 -0.678 0 0 17.100 -0.678 16.492 -1.139 1944 6 14.578 0.109 0 0 14.578 0.109 14.698 0.378 1944 7 14.244 0.878 0 0 14.244 0.878 14.430 1.213 1944 8 15.306 0.526 0 0 15.306 0.526 15.157 0.525 1944 9 20.020 1.598 0 0 20.020 1.598 19.736 1.461 1944 10 25.306 3.361 0 0 25.306 3.361 23.827 2.030 1944 11 27.624 1.501 0 0 27.624 1.501 27.047 1.072 1944 12 27.159 -2.259 0 0 27.159 -2.259 26.878 -2.393 1945 1 30.065 -1.272 0 0 30.065 -1.272 30.674 -0.514 1945 2 29.742 -0.705 0 0 29.742 -0.705 29.863 -0.436 1945 3 27.190 -1.300 0 0 27.190 -1.300 28.516 0.174 1945 4 25.628 2.600 0 0 25.628 2.600 25.472 2.592 1945 5 17.771 -0.008 0 0 17.771 -0.008 17.845 0.215 1945 6 15.050 0.582 0 0 15.050 0.582 15.448 1.128 1945 7 13.195 -0.170 0 0 13.195 -0.170 13.030 -0.187 1945 8 14.384 -0.397 0 0 14.384 -0.397 14.232 -0.400 1945 9 16.976 -1.446 0 0 16.976 -1.446 16.928 -1.346 1945 10 21.814 -0.132 0 0 21.814 -0.132 21.358 -0.439 1945 11 26.067 -0.056 0 0 26.067 -0.056 25.759 -0.216 1945 12 28.627 -0.792 0 0 28.627 -0.792 28.407 -0.864 1946 1 31.817 0.481 0 0 31.817 0.481 31.498 0.310 1946 2 27.087 -3.360 0 0 27.087 -3.360 27.328 -2.971 1946 3 25.473 -3.017 0 0 25.473 -3.017 26.528 -1.814 1946 4 22.685 -0.343 0 0 22.685 -0.343 22.278 -0.602 1946 5 17.914 0.136 0 0 17.914 0.136 17.618 -0.012 1946 6 13.819 -0.650 0 0 13.819 -0.650 13.723 -0.598 1946 7 12.642 -0.724 0 0 12.642 -0.724 13.154 -0.063 1946 8 15.452 0.672 0 0 15.452 0.672 15.173 0.541 1946 9 19.409 0.986 0 0 19.409 0.986 19.262 0.988 1946 10 24.136 2.191 0 0 24.136 2.191 23.310 1.513 1946 11 24.592 -1.531 0 0 24.592 -1.531 23.887 -2.087 1946 12 29.248 -0.171 0 0 29.248 -0.171 28.554 -0.716 1947 1 NaN NaN NaN NaN NaN NaN 31.465 0.277 1947 2 NaN NaN NaN NaN NaN NaN 31.183 0.884 1947 3 NaN NaN NaN NaN NaN NaN 26.955 -1.387 1947 4 NaN NaN NaN NaN NaN NaN 22.272 -0.607 1947 5 NaN NaN NaN NaN NaN NaN 17.071 -0.559 1947 6 NaN NaN NaN NaN NaN NaN 15.359 1.039 1947 7 NaN NaN NaN NaN NaN NaN 12.939 -0.278 1947 8 NaN NaN NaN NaN NaN NaN 13.826 -0.806 1947 9 NaN NaN NaN NaN NaN NaN 17.037 -1.237 1947 10 21.005 -0.941 0 0 21.005 -0.941 19.747 -2.050 1947 11 25.890 -0.233 1 0 NaN NaN 25.386 -0.589 1947 12 27.841 -1.578 1 0 NaN NaN 27.985 -1.286 1948 1 31.227 -0.109 0 0 31.227 -0.109 31.151 -0.037 1948 2 29.822 -0.626 1 0 NaN NaN 29.794 -0.505 1948 3 26.531 -1.959 0 0 26.531 -1.959 27.865 -0.478 1948 4 20.942 -2.086 0 0 20.942 -2.086 21.028 -1.851 1948 5 18.208 0.429 1 0 NaN NaN 17.515 -0.116 1948 6 15.432 0.963 0 0 15.432 0.963 14.809 0.488 1948 7 13.606 0.241 0 0 13.606 0.241 13.122 -0.095 1948 8 17.147 2.367 1 0 NaN NaN 15.622 0.990 1948 9 19.947 1.525 0 0 19.947 1.525 19.112 0.838 1948 10 24.801 2.855 0 0 24.801 2.855 23.229 1.432 1948 11 25.063 -1.060 0 0 25.063 -1.060 24.471 -1.504 1948 12 30.162 0.743 0 0 30.162 0.743 29.025 -0.245 1949 1 30.299 -1.037 0 0 30.299 -1.037 30.852 -0.336 1949 2 27.778 -2.670 0 0 27.778 -2.670 28.246 -2.054 1949 3 27.070 -1.421 0 0 27.070 -1.421 28.028 -0.314 1949 4 22.743 -0.285 0 0 22.743 -0.285 22.672 -0.208 1949 5 16.984 -0.795 0 0 16.984 -0.795 16.712 -0.918 1949 6 16.361 1.893 0 0 16.361 1.893 15.719 1.399 1949 7 15.726 2.361 0 0 15.726 2.361 15.673 2.456 1949 8 17.401 2.621 0 0 17.401 2.621 16.618 1.986 1949 9 17.765 -0.658 0 0 17.765 -0.658 17.634 -0.640 1949 10 20.244 -1.702 0 0 20.244 -1.702 19.916 -1.881 1949 11 25.052 -1.071 0 0 25.052 -1.071 25.019 -0.956 1949 12 30.314 0.895 0 0 30.314 0.895 30.158 0.888 1950 1 31.573 0.237 0 0 31.573 0.237 32.358 1.169 1950 2 30.151 -0.297 0 0 30.151 -0.297 30.194 -0.105 1950 3 28.943 0.452 0 0 28.943 0.452 29.648 1.306 1950 4 25.466 2.438 0 0 25.466 2.438 24.722 1.842 1950 5 NaN NaN NaN NaN NaN NaN 18.603 0.973 1950 6 NaN NaN NaN NaN NaN NaN 13.357 -0.964 1950 7 NaN NaN NaN NaN NaN NaN 12.721 -0.496 1950 8 NaN NaN NaN NaN NaN NaN 15.189 0.558 1950 9 NaN NaN NaN NaN NaN NaN 18.959 0.685 1950 10 NaN NaN NaN NaN NaN NaN 20.306 -1.491 1950 11 NaN NaN NaN NaN NaN NaN 24.270 -1.705 1950 12 NaN NaN NaN NaN NaN NaN 29.258 -0.013 1951 1 NaN NaN NaN NaN NaN NaN 30.636 -0.552 1951 2 NaN NaN NaN NaN NaN NaN 30.141 -0.158 1951 3 NaN NaN NaN NaN NaN NaN 30.001 1.659 1951 4 NaN NaN NaN NaN NaN NaN 22.243 -0.637