% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3132 % Primary Name: PUERTO MADRY % Record Type: TAVG % Country: Argentina % Latitude: -42.77000 +/- 0.00500 % Longitude: -65.05000 +/- 0.00500 % Elevation (m): 16.00 +/- 0.50 % # of Months: 85 % % IDs: ca - 301000000020 % % Sources: Colonial Archive % % Site Hash: 715faa204a9031783de60ec68cc29490 % Raw Data Hash: fb802bdf001e0315349735de5788ea07 % Adj Data Hash: 5bb5579e755517f15d67cc7206d77beb % % 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 1927 1 NaN NaN NaN NaN NaN NaN 20.122 -0.937 1927 2 NaN NaN NaN NaN NaN NaN 21.945 1.626 1927 3 NaN NaN NaN NaN NaN NaN 18.734 0.957 1927 4 NaN NaN NaN NaN NaN NaN 14.414 1.224 1927 5 NaN NaN NaN NaN NaN NaN 8.448 -0.893 1927 6 NaN NaN NaN NaN NaN NaN 4.775 -0.764 1927 7 NaN NaN NaN NaN NaN NaN 4.867 -0.815 1927 8 NaN NaN NaN NaN NaN NaN 8.229 0.498 1927 9 NaN NaN NaN NaN NaN NaN 8.987 -1.327 1927 10 NaN NaN NaN NaN NaN NaN 13.366 -0.202 1927 11 NaN NaN NaN NaN NaN NaN 16.817 -0.512 1927 12 NaN NaN NaN NaN NaN NaN 18.427 -1.118 1928 1 19.100 -2.139 0 0 19.737 -1.503 20.101 -0.959 1928 2 16.800 -3.700 0 0 17.437 -3.063 18.267 -2.053 1928 3 15.750 -2.207 0 0 16.387 -1.570 16.638 -1.139 1928 4 12.650 -0.720 0 0 13.287 -0.084 12.276 -0.914 1928 5 8.450 -1.071 0 0 9.087 -0.434 8.287 -1.054 1928 6 5.100 -0.620 0 0 5.737 0.017 4.006 -1.534 1928 7 7.150 1.289 0 0 7.787 1.925 6.223 0.542 1928 8 8.350 0.439 0 0 8.987 1.076 7.968 0.237 1928 9 10.450 -0.045 0 0 11.087 0.592 10.542 0.227 1928 10 10.200 -3.548 0 0 10.837 -2.912 14.119 0.551 1928 11 15.750 -1.759 0 0 16.387 -1.122 17.378 0.049 1928 12 17.400 -2.326 0 0 18.037 -1.689 18.247 -1.299 1929 1 19.750 -1.489 0 0 20.387 -0.853 21.377 0.318 1929 2 17.950 -2.550 0 0 18.587 -1.913 19.156 -1.164 1929 3 16.150 -1.807 0 0 16.787 -1.170 17.186 -0.591 1929 4 15.200 1.830 0 0 15.837 2.466 14.895 1.705 1929 5 9.300 -0.221 0 0 9.937 0.416 9.016 -0.324 1929 6 7.150 1.430 0 0 7.787 2.067 5.655 0.116 1929 7 7.800 1.939 0 0 8.437 2.575 6.763 1.082 1929 8 7.950 0.039 0 0 8.587 0.676 7.644 -0.086 1929 9 10.000 -0.495 0 0 10.637 0.142 10.280 -0.034 1929 10 12.050 -1.698 0 0 12.687 -1.062 12.983 -0.585 1929 11 16.000 -1.509 0 0 16.637 -0.872 17.314 -0.015 1929 12 18.000 -1.726 0 0 18.637 -1.089 19.079 -0.467 1930 1 20.100 -1.139 0 0 20.737 -0.503 21.304 0.244 1930 2 18.500 -2.000 0 0 19.137 -1.363 19.980 -0.340 1930 3 15.850 -2.107 0 0 16.487 -1.470 17.148 -0.628 1930 4 13.800 0.430 0 0 14.437 1.066 13.746 0.556 1930 5 9.500 -0.021 0 0 10.137 0.616 9.413 0.073 1930 6 6.450 0.730 0 0 7.087 1.367 5.625 0.086 1930 7 4.400 -1.461 0 0 5.037 -0.825 3.747 -1.935 1930 8 5.450 -2.461 0 0 6.087 -1.824 5.381 -2.349 1930 9 11.000 0.505 0 0 11.637 1.142 11.462 1.147 1930 10 10.850 -2.898 0 0 11.487 -2.262 12.181 -1.387 1930 11 15.250 -2.259 0 0 15.887 -1.622 17.024 -0.304 1930 12 18.350 -1.376 0 0 18.987 -0.739 19.484 -0.062 1931 1 20.050 -1.189 0 0 20.687 -0.553 21.031 -0.028 1931 2 20.950 0.450 0 0 21.587 1.087 21.549 1.229 1931 3 16.600 -1.357 0 0 17.237 -0.720 17.385 -0.391 1931 4 12.450 -0.920 0 0 13.087 -0.284 12.229 -0.961 1931 5 9.500 -0.021 0 4 8.934 -0.587 7.494 -1.847 1931 6 6.550 0.830 0 0 5.984 0.265 4.899 -0.640 1931 7 6.450 0.589 0 0 5.884 0.023 4.971 -0.711 1931 8 8.550 0.639 0 0 7.984 0.074 7.435 -0.295 1931 9 10.400 -0.095 0 0 9.834 -0.661 9.295 -1.019 1931 10 15.200 1.452 0 0 14.634 0.886 14.588 1.020 1931 11 15.250 -2.259 0 0 14.684 -2.825 15.585 -1.743 1931 12 19.100 -0.626 0 0 18.534 -1.192 19.048 -0.498 1932 1 21.800 0.561 0 0 21.234 -0.005 21.623 0.564 1932 2 20.800 0.300 0 0 20.234 -0.266 20.817 0.497 1932 3 18.550 0.593 0 0 17.984 0.027 18.116 0.339 1932 4 15.700 2.330 0 0 15.134 1.764 14.202 1.012 1932 5 10.350 0.829 0 0 9.784 0.263 9.175 -0.166 1932 6 7.000 1.280 0 0 6.434 0.715 5.152 -0.387 1932 7 8.650 2.789 0 0 8.084 2.223 7.169 1.488 1932 8 7.400 -0.511 0 0 6.834 -1.076 6.416 -1.314 1932 9 11.600 1.105 0 0 11.034 0.539 10.351 0.036 1932 10 14.050 0.302 0 0 13.484 -0.264 13.481 -0.087 1932 11 18.150 0.641 0 0 17.584 0.075 17.940 0.612 1932 12 20.100 0.374 0 0 19.534 -0.192 19.778 0.232 1933 1 19.600 -1.639 0 0 19.034 -2.205 19.575 -1.484 1933 2 20.050 -0.450 0 0 19.484 -1.016 19.832 -0.488 1933 3 16.900 -1.057 0 0 16.334 -1.623 16.524 -1.253 1933 4 15.200 1.830 0 0 14.634 1.264 13.951 0.761 1933 5 11.550 2.029 0 0 10.984 1.463 10.304 0.963 1933 6 7.400 1.680 0 0 6.834 1.115 5.211 -0.329 1933 7 6.600 0.739 0 0 6.034 0.173 4.928 -0.754 1933 8 9.300 1.389 0 0 8.734 0.824 8.470 0.740 1933 9 10.800 0.305 0 0 10.234 -0.261 10.410 0.095 1933 10 13.500 -0.248 0 0 12.934 -0.814 13.076 -0.492 1933 11 17.350 -0.159 0 0 16.784 -0.725 17.055 -0.273 1933 12 17.400 -2.326 0 0 16.834 -2.892 17.267 -2.279 1934 1 22.200 0.961 0 0 21.634 0.395 21.961 0.902 1934 2 18.800 -1.700 0 0 18.234 -2.266 18.448 -1.872 1934 3 17.500 -0.457 0 0 16.934 -1.023 17.086 -0.691 1934 4 13.350 -0.020 0 0 12.784 -0.586 12.198 -0.992 1934 5 11.000 1.479 0 0 10.434 0.913 9.632 0.292 1934 6 6.800 1.080 0 0 6.234 0.515 4.664 -0.876 1934 7 8.100 2.239 0 0 7.534 1.673 6.596 0.915 1934 8 9.750 1.839 0 0 9.184 1.274 8.830 1.100 1934 9 10.100 -0.395 0 0 9.534 -0.961 9.203 -1.112 1934 10 13.100 -0.648 0 0 12.534 -1.214 12.839 -0.729 1934 11 15.800 -1.709 0 0 15.234 -2.275 16.043 -1.285 1934 12 18.700 -1.026 0 0 18.134 -1.592 18.579 -0.966 1935 1 20.400 -0.839 0 0 19.834 -1.405 20.782 -0.277 1935 2 NaN NaN NaN NaN NaN NaN 19.959 -0.361 1935 3 NaN NaN NaN NaN NaN NaN 19.610 1.833 1935 4 NaN NaN NaN NaN NaN NaN 13.205 0.015 1935 5 NaN NaN NaN NaN NaN NaN 11.584 2.244 1935 6 NaN NaN NaN NaN NaN NaN 6.704 1.164 1935 7 NaN NaN NaN NaN NaN NaN 5.428 -0.253 1935 8 NaN NaN NaN NaN NaN NaN 8.344 0.613 1935 9 NaN NaN NaN NaN NaN NaN 8.647 -1.667 1935 10 NaN NaN NaN NaN NaN NaN 11.419 -2.149 1935 11 NaN NaN NaN NaN NaN NaN 18.181 0.852 1935 12 NaN NaN NaN NaN NaN NaN 18.905 -0.641 1936 1 NaN NaN NaN NaN NaN NaN 20.339 -0.720