% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 3238 % Primary Name: SAN JUAN % Record Type: TAVG % Country: Argentina % Latitude: -31.50000 +/- 0.05000 % Longitude: -68.50000 +/- 0.05000 % Elevation (m): 652.00 +/- 0.50 % # of Months: 83 % % IDs: hadcru - 873120 % % Sources: Hadley Centre Data Release % % Site Hash: ed118d0607422317e15a07d9ee61d19e % Raw Data Hash: 7ce71e74d3b346e899a4e56a821abe9f % Adj Data Hash: 82d3b70494c7af8b0955e8d5cb57575a % % 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 1876 1 NaN NaN NaN NaN NaN NaN 25.055 -1.195 1876 2 NaN NaN NaN NaN NaN NaN 24.582 -0.273 1876 3 NaN NaN NaN NaN NaN NaN 21.930 -0.096 1876 4 NaN NaN NaN NaN NaN NaN 17.249 0.033 1876 5 NaN NaN NaN NaN NaN NaN 13.982 0.883 1876 6 NaN NaN NaN NaN NaN NaN 8.179 -0.970 1876 7 NaN NaN NaN NaN NaN NaN 10.212 1.140 1876 8 NaN NaN NaN NaN NaN NaN 10.494 -1.033 1876 9 NaN NaN NaN NaN NaN NaN 16.166 0.985 1876 10 NaN NaN NaN NaN NaN NaN 18.974 -0.083 1876 11 NaN NaN NaN NaN NaN NaN 21.982 -1.032 1876 12 NaN NaN NaN NaN NaN NaN 24.933 -0.405 1877 1 28.500 0.246 0 0 28.955 0.701 27.362 1.112 1877 2 24.600 -2.259 0 0 25.055 -1.804 24.762 -0.093 1877 3 19.900 -4.130 0 0 20.355 -3.674 23.121 1.095 1877 4 17.900 -1.320 0 0 18.355 -0.865 16.988 -0.228 1877 5 12.000 -3.103 0 0 12.455 -2.647 11.613 -1.486 1877 6 12.400 1.247 0 0 12.855 1.702 9.401 0.252 1877 7 17.100 6.024 0 0 17.555 6.479 11.509 2.436 1877 8 16.800 3.269 0 0 17.255 3.724 12.849 1.322 1877 9 18.100 0.914 0 0 18.555 1.370 15.933 0.751 1877 10 21.800 0.739 0 0 22.255 1.194 20.401 1.344 1877 11 22.600 -2.418 0 0 23.055 -1.963 22.388 -0.626 1877 12 28.300 0.958 0 0 28.755 1.414 24.935 -0.403 1878 1 23.300 -4.954 0 0 23.755 -4.499 24.107 -2.143 1878 2 24.800 -2.059 0 0 25.255 -1.604 23.798 -1.057 1878 3 24.200 0.170 0 0 24.655 0.626 22.386 0.361 1878 4 19.900 0.680 0 0 20.355 1.135 17.091 -0.125 1878 5 13.000 -2.103 0 0 13.455 -1.647 11.963 -1.136 1878 6 9.800 -1.353 0 0 10.255 -0.898 8.099 -1.050 1878 7 14.300 3.224 0 0 14.755 3.679 9.991 0.918 1878 8 NaN NaN NaN NaN NaN NaN 11.151 -0.377 1878 9 19.700 2.514 0 0 20.155 2.970 15.485 0.303 1878 10 20.700 -0.361 0 0 21.155 0.094 19.286 0.229 1878 11 23.600 -1.418 0 0 24.055 -0.963 23.081 0.067 1878 12 23.500 -3.842 0 0 23.955 -3.386 23.506 -1.832 1879 1 NaN NaN NaN NaN NaN NaN 24.919 -1.331 1879 2 NaN NaN NaN NaN NaN NaN 24.736 -0.119 1879 3 NaN NaN NaN NaN NaN NaN 21.973 -0.052 1879 4 NaN NaN NaN NaN NaN NaN 16.796 -0.420 1879 5 NaN NaN NaN NaN NaN NaN 12.480 -0.618 1879 6 NaN NaN NaN NaN NaN NaN 8.507 -0.642 1879 7 NaN NaN NaN NaN NaN NaN 10.051 0.978 1879 8 NaN NaN NaN NaN NaN NaN 11.001 -0.527 1879 9 NaN NaN NaN NaN NaN NaN 15.460 0.279 1879 10 NaN NaN NaN NaN NaN NaN 18.941 -0.116 1879 11 NaN NaN NaN NaN NaN NaN 23.559 0.545 1879 12 NaN NaN NaN NaN NaN NaN 25.395 0.057 1880 1 27.200 -1.054 0 2 27.023 -1.231 25.724 -0.526 1880 2 26.000 -0.859 0 0 25.823 -1.036 24.200 -0.655 1880 3 22.500 -1.530 0 0 22.323 -1.707 21.085 -0.941 1880 4 18.300 -0.920 0 0 18.123 -1.097 16.320 -0.896 1880 5 15.500 0.397 0 0 15.323 0.220 13.250 0.151 1880 6 16.000 4.847 0 0 15.823 4.670 11.456 2.307 1880 7 13.500 2.424 0 0 13.323 2.246 10.008 0.935 1880 8 17.000 3.469 0 0 16.823 3.291 13.281 1.753 1880 9 15.000 -2.186 0 0 14.823 -2.363 13.140 -2.042 1880 10 21.000 -0.061 0 0 20.823 -0.239 18.378 -0.680 1880 11 23.500 -1.518 0 0 23.323 -1.696 22.409 -0.605 1880 12 28.000 0.658 0 0 27.823 0.481 25.648 0.311 1881 1 25.500 -2.754 0 0 25.323 -2.931 24.193 -2.057 1881 2 26.000 -0.859 0 0 25.823 -1.036 24.458 -0.397 1881 3 21.000 -3.030 0 0 20.823 -3.207 20.507 -1.519 1881 4 15.500 -3.720 0 0 15.323 -3.897 15.530 -1.686 1881 5 16.100 0.997 0 0 15.923 0.820 13.433 0.335 1881 6 14.300 3.147 0 0 14.123 2.970 9.208 0.059 1881 7 8.800 -2.276 0 0 8.623 -2.454 6.776 -2.297 1881 8 11.300 -2.231 0 0 11.123 -2.409 10.144 -1.383 1881 9 19.700 2.514 0 0 19.523 2.337 16.335 1.154 1881 10 19.200 -1.861 0 0 19.023 -2.039 17.903 -1.154 1881 11 23.000 -2.018 0 0 22.823 -2.196 21.947 -1.068 1881 12 27.000 -0.342 0 0 26.823 -0.519 25.783 0.446 1882 1 26.200 -2.054 0 0 26.023 -2.231 25.317 -0.933 1882 2 27.200 0.341 0 0 27.023 0.164 24.721 -0.134 1882 3 23.500 -0.530 0 0 23.323 -0.707 21.425 -0.600 1882 4 17.900 -1.320 0 0 17.723 -1.497 15.482 -1.734 1882 5 14.300 -0.803 0 0 14.123 -0.980 12.630 -0.468 1882 6 10.000 -1.153 0 0 9.823 -1.330 7.877 -1.272 1882 7 10.500 -0.576 0 0 10.323 -0.754 8.162 -0.911 1882 8 15.500 1.969 0 0 15.323 1.791 12.465 0.937 1882 9 21.700 4.514 0 0 21.523 4.337 16.993 1.812 1882 10 25.500 4.439 1 0 NaN NaN 20.347 1.290 1882 11 25.500 0.482 0 0 25.323 0.304 23.017 0.003 1882 12 25.400 -1.942 0 0 25.223 -2.119 23.662 -1.675 1883 1 28.800 0.546 0 0 28.623 0.369 26.089 -0.161 1883 2 26.300 -0.559 0 0 26.123 -0.736 24.243 -0.612 1883 3 24.000 -0.030 0 0 23.823 -0.207 21.801 -0.225 1883 4 17.700 -1.520 0 0 17.523 -1.697 15.601 -1.615 1883 5 12.000 -3.103 0 0 11.823 -3.280 11.866 -1.232 1883 6 11.300 0.147 0 0 11.123 -0.030 8.768 -0.381 1883 7 9.400 -1.676 0 0 9.223 -1.854 7.648 -1.425 1883 8 14.000 0.469 0 0 13.823 0.291 11.306 -0.221 1883 9 18.200 1.014 0 0 18.023 0.837 15.208 0.026 1883 10 21.300 0.239 0 0 21.123 0.061 18.975 -0.082 1883 11 26.500 1.482 0 0 26.323 1.304 23.314 0.300 1883 12 27.700 0.358 0 0 27.523 0.181 25.137 -0.201 1884 1 29.900 1.646 0 0 29.723 1.469 27.461 1.211 1884 2 25.800 -1.059 0 0 25.623 -1.236 24.062 -0.793 1884 3 23.000 -1.030 0 0 22.823 -1.207 21.383 -0.643 1884 4 20.600 1.380 0 0 20.423 1.203 17.055 -0.161 1884 5 11.800 -3.303 0 0 11.623 -3.480 10.558 -2.540 1884 6 8.900 -2.253 0 0 8.723 -2.430 6.728 -2.421 1884 7 12.500 1.424 0 0 12.323 1.246 8.932 -0.141 1884 8 17.000 3.469 0 0 16.823 3.291 14.369 2.842 1884 9 15.800 -1.386 0 0 15.623 -1.563 14.402 -0.779 1884 10 20.700 -0.361 0 0 20.523 -0.539 18.485 -0.572 1884 11 22.200 -2.818 0 0 22.023 -2.996 21.526 -1.489 1884 12 25.500 -1.842 0 0 25.323 -2.019 24.132 -1.205 1885 1 NaN NaN NaN NaN NaN NaN 25.265 -0.985 1885 2 NaN NaN NaN NaN NaN NaN 23.363 -1.492 1885 3 NaN NaN NaN NaN NaN NaN 20.914 -1.112 1885 4 NaN NaN NaN NaN NaN NaN 14.496 -2.720 1885 5 NaN NaN NaN NaN NaN NaN 11.180 -1.918 1885 6 NaN NaN NaN NaN NaN NaN 7.763 -1.386 1885 7 NaN NaN NaN NaN NaN NaN 7.119 -1.954 1885 8 NaN NaN NaN NaN NaN NaN 11.291 -0.236 1885 9 NaN NaN NaN NaN NaN NaN 16.044 0.863 1885 10 NaN NaN NaN NaN NaN NaN 18.577 -0.480 1885 11 NaN NaN NaN NaN NaN NaN 23.735 0.721 1885 12 NaN NaN NaN NaN NaN NaN 23.856 -1.481