% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26426 % Primary Name: MICANOPY % Record Type: TAVG % Country: United States % State: FL % Latitude: 29.50000 +/- 0.00005 % Longitude: -82.28330 +/- 0.00005 % Elevation (m): 43.48 +/- 52.24 % # of Months: 41 % % Alternate Names: Missing Station ID - 85690 % % IDs: coop - 85690 % ghcnd - USC00085690 % ncdc - 12001355 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 6fca544d6534eadbbe06f61a1bc9851e % Raw Data Hash: 534e4ac6165f82b3bf225b3b3283d44b % Adj Data Hash: 06929f4d65f1f6854cd48ef38678cdc9 % % 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 1899 8 NaN NaN NaN NaN NaN NaN 27.774 0.498 1899 9 NaN NaN NaN NaN NaN NaN 25.436 -0.529 1899 10 NaN NaN NaN NaN NaN NaN 21.330 0.340 1899 11 NaN NaN NaN NaN NaN NaN 16.849 0.579 1899 12 NaN NaN NaN NaN NaN NaN 12.067 -0.700 1900 1 NaN NaN NaN NaN NaN NaN 10.230 -1.837 1900 2 NaN NaN NaN NaN NaN NaN 11.555 -1.615 1900 3 NaN NaN NaN NaN NaN NaN 15.844 -0.910 1900 4 NaN NaN NaN NaN NaN NaN 19.784 -0.330 1900 5 NaN NaN NaN NaN NaN NaN 23.216 -0.507 1900 6 NaN NaN NaN NaN NaN NaN 25.950 -0.416 1900 7 NaN NaN NaN NaN NaN NaN 27.492 0.183 1900 8 29.075 0.781 1 0 NaN NaN 27.953 0.677 1900 9 27.033 0.050 0 0 27.033 0.050 27.036 1.070 1900 10 24.505 2.497 0 0 24.505 2.497 22.994 2.004 1900 11 17.477 0.189 0 0 17.477 0.189 16.214 -0.055 1900 12 NaN NaN NaN NaN NaN NaN 12.187 -0.580 1901 1 13.066 -0.019 0 0 13.066 -0.019 11.408 -0.659 1901 2 12.481 -1.706 0 0 12.481 -1.706 10.176 -2.993 1901 3 16.184 -1.587 0 0 16.184 -1.587 14.946 -1.808 1901 4 18.372 -2.760 0 0 18.372 -2.760 17.030 -3.084 1901 5 24.085 -0.655 0 0 24.085 -0.655 23.409 -0.314 1901 6 26.165 -1.220 0 0 26.165 -1.220 25.727 -0.639 1901 7 27.726 -0.601 0 0 27.726 -0.601 27.263 -0.046 1901 8 26.753 -1.540 0 0 26.753 -1.540 26.423 -0.853 1901 9 26.288 -0.695 1 0 NaN NaN 25.681 -0.284 1901 10 21.340 -0.668 0 0 21.340 -0.668 20.038 -0.952 1901 11 13.762 -3.525 0 0 13.762 -3.525 12.662 -3.608 1901 12 12.790 -0.994 1 0 NaN NaN 10.817 -1.950 1902 1 12.082 -1.003 0 0 12.082 -1.003 10.305 -1.761 1902 2 11.905 -2.282 1 0 NaN NaN 9.376 -3.794 1902 3 18.103 0.332 0 0 18.103 0.332 16.751 -0.002 1902 4 19.585 -1.547 0 0 19.585 -1.547 18.977 -1.136 1902 5 25.382 0.641 0 0 25.382 0.641 25.012 1.289 1902 6 26.825 -0.560 0 0 26.825 -0.560 26.841 0.474 1902 7 NaN NaN NaN NaN NaN NaN 27.863 0.554 1902 8 NaN NaN NaN NaN NaN NaN 27.458 0.183 1902 9 NaN NaN NaN NaN NaN NaN 25.821 -0.145 1902 10 NaN NaN NaN NaN NaN NaN 21.451 0.461 1902 11 19.679 2.392 0 0 19.679 2.392 18.419 2.150 1902 12 14.372 0.587 1 0 NaN NaN 13.142 0.375 1903 1 17.215 4.130 1 0 NaN NaN 10.908 -1.158 1903 2 15.491 1.303 0 0 15.491 1.303 14.021 0.852 1903 3 20.851 3.079 0 0 20.851 3.079 19.530 2.777 1903 4 19.287 -1.845 0 0 19.287 -1.845 18.136 -1.977 1903 5 23.565 -1.176 0 0 23.565 -1.176 22.561 -1.162 1903 6 NaN NaN NaN NaN NaN NaN 25.500 -0.867 1903 7 NaN NaN NaN NaN NaN NaN 27.050 -0.259 1903 8 NaN NaN NaN NaN NaN NaN 27.638 0.362 1903 9 22.683 -4.300 1 0 NaN NaN 25.302 -0.664 1903 10 20.376 -1.632 0 0 20.376 -1.632 19.685 -1.305 1903 11 15.263 -2.024 1 0 NaN NaN 15.178 -1.092 1903 12 9.925 -3.859 1 0 NaN NaN 8.958 -3.809 1904 1 NaN NaN NaN NaN NaN NaN 9.629 -2.438 1904 2 15.351 1.163 0 0 15.351 1.163 13.047 -0.123 1904 3 19.638 1.866 1 0 NaN NaN 18.468 1.715 1904 4 20.563 -0.569 0 0 20.563 -0.569 18.956 -1.158 1904 5 24.049 -0.692 1 0 NaN NaN 22.966 -0.757 1904 6 25.883 -1.502 0 0 25.883 -1.502 25.962 -0.404 1904 7 27.128 -1.199 0 0 27.128 -1.199 26.381 -0.928 1904 8 26.869 -1.424 1 0 NaN NaN 26.370 -0.906 1904 9 26.414 -0.570 0 0 26.414 -0.570 26.081 0.116 1904 10 NaN NaN NaN NaN NaN NaN 21.058 0.068 1904 11 NaN NaN NaN NaN NaN NaN 14.874 -1.395 1904 12 NaN NaN NaN NaN NaN NaN 12.098 -0.669 1905 1 NaN NaN NaN NaN NaN NaN 8.730 -3.337 1905 2 NaN NaN NaN NaN NaN NaN 11.193 -1.977 1905 3 NaN NaN NaN NaN NaN NaN 17.964 1.210 1905 4 NaN NaN NaN NaN NaN NaN 20.049 -0.065 1905 5 NaN NaN NaN NaN NaN NaN 25.385 1.662 1905 6 NaN NaN NaN NaN NaN NaN 26.654 0.287 1905 7 NaN NaN NaN NaN NaN NaN 27.346 0.038 1905 8 NaN NaN NaN NaN NaN NaN 26.953 -0.323 1905 9 NaN NaN NaN NaN NaN NaN 27.133 1.167