% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25836 % Primary Name: DAVIE % Record Type: TAVG % Country: United States % State: FL % Latitude: 26.05000 +/- 0.00833 % Longitude: -80.21667 +/- 0.00833 % Elevation (m): 3.00 +/- 0.05 % # of Months: 102 % % IDs: coop - 82140 % ncdc - 20004271 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: bb000a26e480bd4b673dc7e287802af1 % Raw Data Hash: f7962522f1bac6714839706bbb9e946d % Adj Data Hash: 843fa2d9845421cb69cff0be9e7219e8 % % 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 1930 1 NaN NaN NaN NaN NaN NaN 20.036 2.499 1930 2 NaN NaN NaN NaN NaN NaN 19.081 0.859 1930 3 NaN NaN NaN NaN NaN NaN 19.548 -1.339 1930 4 NaN NaN NaN NaN NaN NaN 22.687 -0.264 1930 5 NaN NaN NaN NaN NaN NaN 25.424 0.100 1930 6 NaN NaN NaN NaN NaN NaN 26.055 -1.035 1930 7 NaN NaN NaN NaN NaN NaN 27.851 -0.144 1930 8 NaN NaN NaN NaN NaN NaN 27.616 -0.473 1930 9 NaN NaN NaN NaN NaN NaN 27.461 0.204 1930 10 NaN NaN NaN NaN NaN NaN 23.507 -0.821 1930 11 NaN NaN NaN NaN NaN NaN 19.646 -1.366 1930 12 NaN NaN NaN NaN NaN NaN 15.797 -2.328 1931 1 17.667 0.373 0 0 17.667 0.373 15.745 -1.792 1931 2 17.667 -0.312 0 0 17.667 -0.312 16.573 -1.649 1931 3 17.444 -3.199 0 0 17.444 -3.199 17.402 -3.486 1931 4 21.111 -1.596 0 0 21.111 -1.596 21.268 -1.683 1931 5 23.667 -1.413 0 0 23.667 -1.413 24.328 -0.996 1931 6 25.222 -1.624 0 0 25.222 -1.624 26.682 -0.408 1931 7 26.889 -0.861 0 0 26.889 -0.861 28.284 0.289 1931 8 27.111 -0.734 0 0 27.111 -0.734 28.107 0.018 1931 9 26.833 -0.180 0 0 26.833 -0.180 27.307 0.050 1931 10 24.889 0.804 0 0 24.889 0.804 24.565 0.237 1931 11 22.556 1.788 0 0 22.556 1.788 21.688 0.676 1931 12 22.444 4.563 0 0 22.444 4.563 21.968 3.843 1932 1 21.111 3.818 0 0 21.111 3.818 20.104 2.566 1932 2 21.111 3.133 0 0 21.111 3.133 20.993 2.770 1932 3 19.667 -0.977 0 0 19.667 -0.977 19.808 -1.080 1932 4 20.833 -1.874 0 0 20.833 -1.874 22.196 -0.756 1932 5 23.611 -1.469 0 0 23.611 -1.469 24.804 -0.520 1932 6 26.444 -0.401 0 0 26.444 -0.401 27.047 -0.043 1932 7 27.111 -0.639 0 0 27.111 -0.639 28.325 0.331 1932 8 27.000 -0.845 0 0 27.000 -0.845 27.886 -0.202 1932 9 27.111 0.098 0 0 27.111 0.098 27.368 0.110 1932 10 25.000 0.916 0 0 25.000 0.916 24.699 0.370 1932 11 20.333 -0.435 0 0 20.333 -0.435 19.627 -1.385 1932 12 21.000 3.119 0 0 21.000 3.119 20.011 1.885 1933 1 19.111 1.818 0 0 19.111 1.818 18.879 1.341 1933 2 20.889 2.911 0 0 20.889 2.911 20.394 2.171 1933 3 19.389 -1.254 0 0 19.389 -1.254 20.393 -0.494 1933 4 22.333 -0.374 0 0 22.333 -0.374 23.301 0.349 1933 5 25.222 0.142 0 0 25.222 0.142 26.307 0.983 1933 6 25.444 -1.401 0 0 25.444 -1.401 26.475 -0.615 1933 7 26.278 -1.472 0 0 26.278 -1.472 27.603 -0.391 1933 8 27.000 -0.845 0 0 27.000 -0.845 27.739 -0.350 1933 9 26.556 -0.458 0 0 26.556 -0.458 27.854 0.596 1933 10 24.556 0.471 0 0 24.556 0.471 24.753 0.425 1933 11 20.222 -0.546 0 0 20.222 -0.546 19.310 -1.702 1933 12 19.611 1.730 0 0 19.611 1.730 18.920 0.795 1934 1 19.111 1.818 0 0 19.111 1.818 18.297 0.760 1934 2 18.111 0.133 0 0 18.111 0.133 17.252 -0.971 1934 3 19.944 -0.699 0 0 19.944 -0.699 20.769 -0.119 1934 4 21.667 -1.040 0 0 21.667 -1.040 22.728 -0.223 1934 5 24.222 -0.858 0 0 24.222 -0.858 25.310 -0.014 1934 6 26.333 -0.513 0 0 26.333 -0.513 26.930 -0.160 1934 7 NaN NaN NaN NaN NaN NaN 27.589 -0.405 1934 8 26.556 -1.289 0 0 26.556 -1.289 27.571 -0.518 1934 9 26.167 -0.847 0 0 26.167 -0.847 27.170 -0.088 1934 10 24.889 0.804 0 0 24.889 0.804 24.938 0.609 1934 11 21.333 0.565 0 0 21.333 0.565 20.781 -0.231 1934 12 18.889 1.008 0 0 18.889 1.008 17.652 -0.474 1935 1 18.500 1.207 0 0 18.500 1.207 17.548 0.010 1935 2 17.833 -0.145 0 0 17.833 -0.145 17.322 -0.901 1935 3 20.889 0.246 0 0 20.889 0.246 22.020 1.133 1935 4 22.278 -0.429 0 0 22.278 -0.429 23.278 0.327 1935 5 24.833 -0.247 0 0 24.833 -0.247 26.116 0.792 1935 6 24.889 -1.957 0 0 24.889 -1.957 26.678 -0.412 1935 7 25.111 -2.639 1 0 NaN NaN 27.460 -0.535 1935 8 24.333 -3.511 1 0 NaN NaN 28.048 -0.041 1935 9 23.778 -3.236 0 0 23.778 -3.236 26.924 -0.333 1935 10 24.500 0.416 0 0 24.500 0.416 24.621 0.293 1935 11 18.444 -2.323 0 0 18.444 -2.323 20.675 -0.337 1935 12 13.889 -3.992 1 0 NaN NaN 13.975 -4.151 1936 1 NaN NaN NaN NaN NaN NaN 18.290 0.753 1936 2 NaN NaN NaN NaN NaN NaN 17.838 -0.384 1936 3 NaN NaN NaN NaN NaN NaN 20.160 -0.727 1936 4 NaN NaN NaN NaN NaN NaN 22.962 0.010 1936 5 NaN NaN NaN NaN NaN NaN 24.802 -0.522 1936 6 26.500 -0.346 0 0 26.500 -0.346 26.332 -0.758 1936 7 27.889 0.139 0 0 27.889 0.139 28.010 0.015 1936 8 27.833 -0.011 0 0 27.833 -0.011 27.892 -0.197 1936 9 27.167 0.153 0 0 27.167 0.153 27.328 0.070 1936 10 26.278 2.193 0 0 26.278 2.193 25.701 1.373 1936 11 21.667 0.899 0 0 21.667 0.899 20.538 -0.474 1936 12 21.778 3.897 0 0 21.778 3.897 19.411 1.285 1937 1 NaN NaN NaN NaN NaN NaN 22.104 4.566 1937 2 NaN NaN NaN NaN NaN NaN 18.382 0.159 1937 3 NaN NaN NaN NaN NaN NaN 20.275 -0.613 1937 4 22.222 -0.485 0 0 22.222 -0.485 22.570 -0.381 1937 5 24.278 -0.802 0 0 24.278 -0.802 24.851 -0.473 1937 6 NaN NaN NaN NaN NaN NaN 27.061 -0.029 1937 7 NaN NaN NaN NaN NaN NaN 27.613 -0.382 1937 8 NaN NaN NaN NaN NaN NaN 27.971 -0.118 1937 9 25.889 -1.125 0 0 25.889 -1.125 26.954 -0.303 1937 10 22.556 -1.529 0 0 22.556 -1.529 23.508 -0.821 1937 11 20.722 -0.046 0 0 20.722 -0.046 19.815 -1.197 1937 12 NaN NaN NaN NaN NaN NaN 17.178 -0.947 1938 1 18.000 0.707 0 0 18.000 0.707 17.319 -0.219 1938 2 NaN NaN NaN NaN NaN NaN 18.961 0.738 1938 3 21.056 0.412 0 0 21.056 0.412 22.227 1.340 1938 4 21.778 -0.929 0 0 21.778 -0.929 22.898 -0.054 1938 5 24.111 -0.969 0 0 24.111 -0.969 25.537 0.213 1938 6 25.556 -1.290 0 0 25.556 -1.290 26.586 -0.504 1938 7 25.889 -1.861 0 0 25.889 -1.861 27.291 -0.704 1938 8 26.556 -1.289 0 0 26.556 -1.289 27.922 -0.167 1938 9 26.222 -0.791 0 0 26.222 -0.791 27.007 -0.250 1938 10 23.167 -0.918 0 0 23.167 -0.918 23.245 -1.084 1938 11 22.500 1.732 0 0 22.500 1.732 21.882 0.870 1938 12 18.167 0.286 0 0 18.167 0.286 17.633 -0.492 1939 1 18.667 1.373 0 0 18.667 1.373 18.113 0.575 1939 2 21.222 3.244 0 0 21.222 3.244 20.935 2.713 1939 3 NaN NaN NaN NaN NaN NaN 22.394 1.507 1939 4 22.889 0.182 0 0 22.889 0.182 23.681 0.730 1939 5 24.333 -0.747 0 0 24.333 -0.747 24.923 -0.402 1939 6 25.889 -0.957 0 0 25.889 -0.957 26.923 -0.167 1939 7 27.000 -0.750 0 0 27.000 -0.750 27.533 -0.461 1939 8 NaN NaN NaN NaN NaN NaN 27.319 -0.770 1939 9 26.556 -0.458 0 0 26.556 -0.458 27.387 0.130 1939 10 25.556 1.471 0 0 25.556 1.471 25.256 0.928 1939 11 20.556 -0.212 0 0 20.556 -0.212 19.798 -1.214 1939 12 NaN NaN NaN NaN NaN NaN 17.163 -0.963 1940 1 14.889 -2.404 0 0 14.889 -2.404 13.703 -3.835 1940 2 16.778 -1.201 0 0 16.778 -1.201 15.763 -2.460 1940 3 19.944 -0.699 0 0 19.944 -0.699 19.700 -1.187 1940 4 NaN NaN NaN NaN NaN NaN 21.526 -1.425 1940 5 23.056 -2.025 0 0 23.056 -2.025 23.950 -1.375 1940 6 26.444 -0.401 0 0 26.444 -0.401 27.161 0.071 1940 7 27.222 -0.528 0 0 27.222 -0.528 28.154 0.160 1940 8 27.333 -0.511 0 0 27.333 -0.511 27.929 -0.160 1940 9 26.667 -0.347 0 0 26.667 -0.347 26.466 -0.792 1940 10 23.556 -0.529 0 0 23.556 -0.529 22.942 -1.387 1940 11 21.333 0.565 0 0 21.333 0.565 20.811 -0.201 1940 12 21.667 3.786 0 0 21.667 3.786 20.241 2.116 1941 1 NaN NaN NaN NaN NaN NaN 16.971 -0.567 1941 2 NaN NaN NaN NaN NaN NaN 15.877 -2.346 1941 3 NaN NaN NaN NaN NaN NaN 18.605 -2.283 1941 4 NaN NaN NaN NaN NaN NaN 22.699 -0.253 1941 5 NaN NaN NaN NaN NaN NaN 23.996 -1.328 1941 6 NaN NaN NaN NaN NaN NaN 27.395 0.304 1941 7 NaN NaN NaN NaN NaN NaN 27.861 -0.134 1941 8 NaN NaN NaN NaN NaN NaN 28.710 0.621 1941 9 NaN NaN NaN NaN NaN NaN 27.586 0.329 1941 10 NaN NaN NaN NaN NaN NaN 25.925 1.596 1941 11 NaN NaN NaN NaN NaN NaN 21.942 0.930 1941 12 NaN NaN NaN NaN NaN NaN 20.437 2.312