% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26276 % Primary Name: ST. FRANCIS % Record Type: TAVG % Country: United States % State: FL % Latitude: 29.03330 +/- 0.00005 % Longitude: -81.38330 +/- 0.00005 % Elevation (m): 6.10 +/- 0.15 % # of Months: 63 % % Alternate Names: Missing Station ID - 87838 % % IDs: coop - 87838 % ghcnd - USC00087838 % ncdc - 12001391 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: ed9c86dc96b4dee8d1a2eaaed2dd2ef6 % Raw Data Hash: 7772eb48a03414b5e3139532733750b8 % Adj Data Hash: b59e684b30dff77171a50e110b8380c3 % % 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 1894 10 NaN NaN NaN NaN NaN NaN 22.495 -0.121 1894 11 NaN NaN NaN NaN NaN NaN 17.869 -0.799 1894 12 NaN NaN NaN NaN NaN NaN 15.502 0.180 1895 1 NaN NaN NaN NaN NaN NaN 14.590 0.278 1895 2 NaN NaN NaN NaN NaN NaN 9.455 -5.371 1895 3 NaN NaN NaN NaN NaN NaN 17.739 -0.023 1895 4 NaN NaN NaN NaN NaN NaN 19.587 -1.014 1895 5 NaN NaN NaN NaN NaN NaN 23.252 -0.460 1895 6 NaN NaN NaN NaN NaN NaN 25.971 -0.033 1895 7 NaN NaN NaN NaN NaN NaN 27.047 -0.054 1895 8 NaN NaN NaN NaN NaN NaN 27.253 0.100 1895 9 NaN NaN NaN NaN NaN NaN 26.556 0.210 1895 10 22.706 0.264 0 0 22.706 0.264 21.788 -0.828 1895 11 19.278 0.784 0 0 19.278 0.784 18.253 -0.415 1895 12 14.588 -0.560 0 0 14.588 -0.560 13.631 -1.691 1896 1 14.229 0.091 0 0 14.229 0.091 12.911 -1.401 1896 2 NaN NaN NaN NaN NaN NaN 13.721 -1.106 1896 3 16.810 -0.778 0 0 16.810 -0.778 16.634 -1.128 1896 4 19.861 -0.566 0 0 19.861 -0.566 20.888 0.287 1896 5 23.208 -0.330 0 0 23.208 -0.330 24.525 0.813 1896 6 26.333 0.504 0 0 26.333 0.504 26.021 0.017 1896 7 27.025 0.097 0 0 27.025 0.097 26.947 -0.155 1896 8 27.401 0.422 0 0 27.401 0.422 27.278 0.125 1896 9 25.944 -0.228 0 0 25.944 -0.228 26.532 0.186 1896 10 21.362 -1.080 0 0 21.362 -1.080 21.851 -0.765 1896 11 20.352 1.858 0 0 20.352 1.858 21.453 2.785 1896 12 14.570 -0.578 0 0 14.570 -0.578 14.116 -1.206 1897 1 12.168 -1.970 0 0 12.168 -1.970 12.432 -1.880 1897 2 18.095 3.443 0 0 18.095 3.443 16.403 1.577 1897 3 21.057 3.469 0 0 21.057 3.469 20.765 3.003 1897 4 20.278 -0.149 0 0 20.278 -0.149 20.449 -0.152 1897 5 21.864 -1.674 0 0 21.864 -1.674 22.584 -1.128 1897 6 26.722 0.893 0 0 26.722 0.893 27.465 1.462 1897 7 26.559 -0.369 0 0 26.559 -0.369 27.267 0.165 1897 8 27.527 0.548 0 0 27.527 0.548 27.304 0.151 1897 9 24.796 -1.376 0 0 24.796 -1.376 25.079 -1.268 1897 10 22.652 0.210 0 0 22.652 0.210 22.632 0.016 1897 11 19.222 0.728 0 0 19.222 0.728 19.822 1.154 1897 12 16.075 0.927 0 0 16.075 0.927 16.077 0.755 1898 1 15.878 1.740 0 0 15.878 1.740 15.682 1.370 1898 2 13.925 -0.727 0 0 13.925 -0.727 13.165 -1.661 1898 3 19.048 1.460 0 0 19.048 1.460 19.379 1.617 1898 4 18.687 -1.740 0 0 18.687 -1.740 19.293 -1.308 1898 5 22.506 -1.032 0 0 22.506 -1.032 24.044 0.332 1898 6 25.348 -0.481 0 0 25.348 -0.481 26.655 0.652 1898 7 26.690 -0.238 0 0 26.690 -0.238 27.072 -0.030 1898 8 26.535 -0.443 0 0 26.535 -0.443 26.867 -0.286 1898 9 NaN NaN NaN NaN NaN NaN 26.825 0.479 1898 10 21.568 -0.875 0 0 21.568 -0.875 22.000 -0.616 1898 11 18.820 0.326 0 0 18.820 0.326 18.757 0.089 1898 12 14.168 -0.980 0 0 14.168 -0.980 14.071 -1.251 1899 1 15.150 1.012 0 0 15.150 1.012 14.310 -0.002 1899 2 15.387 0.735 0 0 15.387 0.735 13.502 -1.324 1899 3 18.506 0.918 0 0 18.506 0.918 18.414 0.652 1899 4 18.718 -1.708 0 0 18.718 -1.708 19.081 -1.520 1899 5 24.034 0.496 0 0 24.034 0.496 25.042 1.330 1899 6 25.485 -0.345 0 0 25.485 -0.345 26.286 0.283 1899 7 26.606 -0.321 0 0 26.606 -0.321 26.646 -0.456 1899 8 NaN NaN NaN NaN NaN NaN 27.696 0.543 1899 9 25.353 -0.819 0 0 25.353 -0.819 26.019 -0.327 1899 10 22.800 0.358 0 0 22.800 0.358 22.947 0.331 1899 11 17.968 -0.526 0 0 17.968 -0.526 19.146 0.478 1899 12 14.618 -0.530 0 0 14.618 -0.530 14.579 -0.743 1900 1 12.905 -1.233 0 0 12.905 -1.233 12.770 -1.542 1900 2 13.670 -0.983 0 0 13.670 -0.983 13.307 -1.519 1900 3 16.968 -0.621 0 0 16.968 -0.621 16.732 -1.031 1900 4 20.268 -0.158 0 0 20.268 -0.158 20.609 0.009 1900 5 22.855 -0.683 0 0 22.855 -0.683 23.189 -0.523 1900 6 25.512 -0.318 0 0 25.512 -0.318 25.794 -0.209 1900 7 26.576 -0.352 0 0 26.576 -0.352 27.268 0.167 1900 8 26.582 -0.397 0 0 26.582 -0.397 28.011 0.858 1900 9 NaN NaN NaN NaN NaN NaN 27.356 1.010 1900 10 23.834 1.391 0 0 23.834 1.391 24.349 1.732 1900 11 17.200 -1.294 0 0 17.200 -1.294 18.597 -0.071 1900 12 13.913 -1.235 0 0 13.913 -1.235 14.785 -0.537 1901 1 14.008 -0.130 0 0 14.008 -0.130 13.592 -0.720 1901 2 12.932 -1.720 0 0 12.932 -1.720 11.856 -2.971 1901 3 15.468 -2.121 0 0 15.468 -2.121 16.328 -1.435 1901 4 16.757 -3.670 0 0 16.757 -3.670 17.635 -2.966 1901 5 NaN NaN NaN NaN NaN NaN 23.679 -0.033 1901 6 NaN NaN NaN NaN NaN NaN 25.217 -0.786 1901 7 NaN NaN NaN NaN NaN NaN 27.182 0.080 1901 8 NaN NaN NaN NaN NaN NaN 26.560 -0.593 1901 9 NaN NaN NaN NaN NaN NaN 26.356 0.009 1901 10 NaN NaN NaN NaN NaN NaN 21.935 -0.681 1901 11 NaN NaN NaN NaN NaN NaN 15.138 -3.530 1901 12 NaN NaN NaN NaN NaN NaN 13.443 -1.879 1902 1 NaN NaN NaN NaN NaN NaN 12.287 -2.025 1902 2 NaN NaN NaN NaN NaN NaN 10.889 -3.938 1902 3 NaN NaN NaN NaN NaN NaN 17.597 -0.165 1902 4 NaN NaN NaN NaN NaN NaN 19.488 -1.113