% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26103 % Primary Name: DAVENPORT % Record Type: TAVG % Country: United States % State: FL % Latitude: 28.15000 +/- 0.00833 % Longitude: -81.60000 +/- 0.00833 % Elevation (m): 49.10 +/- 0.05 % # of Months: 185 % % IDs: coop - 82137 % ncdc - 20004436 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 09cb068a02c69ca04d6495cf19e1fc52 % Raw Data Hash: 4e12b95a351c39e6123cba23b8224956 % Adj Data Hash: df266b89aae312c4a594c0ecd7cc3a81 % % 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 18.224 2.246 1930 2 NaN NaN NaN NaN NaN NaN 17.596 0.951 1930 3 NaN NaN NaN NaN NaN NaN 17.851 -1.761 1930 4 NaN NaN NaN NaN NaN NaN 21.899 -0.297 1930 5 NaN NaN NaN NaN NaN NaN 25.100 0.113 1930 6 NaN NaN NaN NaN NaN NaN 25.770 -1.172 1930 7 NaN NaN NaN NaN NaN NaN 28.121 0.290 1930 8 NaN NaN NaN NaN NaN NaN 27.155 -0.745 1930 9 NaN NaN NaN NaN NaN NaN 27.715 0.659 1930 10 NaN NaN NaN NaN NaN NaN 22.568 -1.133 1930 11 NaN NaN NaN NaN NaN NaN 18.839 -1.051 1930 12 NaN NaN NaN NaN NaN NaN 14.108 -2.582 1931 1 14.722 -1.719 0 0 14.882 -1.560 14.116 -1.862 1931 2 15.722 -1.386 0 0 15.948 -1.159 14.928 -1.717 1931 3 16.444 -3.630 0 0 16.690 -3.384 16.109 -3.503 1931 4 20.556 -2.103 0 0 20.801 -1.857 20.527 -1.668 1931 5 24.000 -1.450 0 0 24.296 -1.153 24.129 -0.858 1931 6 26.722 -0.682 0 0 27.047 -0.357 26.786 -0.155 1931 7 28.667 0.372 0 0 28.917 0.622 28.389 0.558 1931 8 28.056 -0.307 0 0 28.228 -0.134 27.900 -0.000 1931 9 27.278 -0.241 0 0 27.491 -0.028 27.385 0.329 1931 10 24.111 -0.053 0 0 24.394 0.230 24.251 0.550 1931 11 21.056 0.702 0 0 21.299 0.945 21.222 1.332 1931 12 22.444 5.292 0 0 22.599 5.446 21.598 4.908 1932 1 19.889 3.448 0 0 20.048 3.607 19.349 3.371 1932 2 21.778 4.670 0 0 22.004 4.896 20.237 3.592 1932 3 18.111 -1.963 0 0 18.357 -1.717 17.923 -1.688 1932 4 21.889 -0.770 0 0 22.135 -0.524 21.579 -0.617 1932 5 24.778 -0.672 0 0 25.074 -0.376 24.743 -0.244 1932 6 27.056 -0.349 0 0 27.381 -0.024 26.973 0.032 1932 7 29.222 0.928 0 0 29.472 1.178 28.959 1.128 1932 8 28.444 0.082 0 0 28.617 0.255 27.949 0.049 1932 9 26.667 -0.853 0 0 26.880 -0.640 26.876 -0.181 1932 10 24.278 0.114 0 0 24.561 0.397 24.125 0.424 1932 11 18.222 -2.131 0 0 18.465 -1.888 18.503 -1.387 1932 12 19.278 2.125 0 0 19.433 2.280 19.045 2.355 1933 1 18.111 1.670 0 0 18.270 1.829 17.547 1.568 1933 2 20.000 2.892 0 0 20.226 3.118 18.892 2.247 1933 3 19.056 -1.019 0 0 19.301 -0.773 18.990 -0.622 1933 4 21.944 -0.714 0 0 22.190 -0.468 21.896 -0.299 1933 5 26.444 0.995 0 0 26.741 1.291 26.280 1.293 1933 6 26.222 -1.182 0 0 26.547 -0.857 26.135 -0.807 1933 7 27.556 -0.739 0 0 27.806 -0.489 27.487 -0.345 1933 8 28.000 -0.362 0 0 28.173 -0.190 27.781 -0.119 1933 9 28.056 0.536 0 0 28.268 0.749 28.014 0.958 1933 10 24.333 0.169 0 0 24.616 0.452 24.284 0.583 1933 11 18.333 -2.020 0 0 18.576 -1.777 18.423 -1.467 1933 12 18.667 1.514 0 0 18.821 1.669 18.021 1.332 1934 1 17.444 1.003 0 0 17.604 1.163 17.021 1.042 1934 2 16.278 -0.830 0 0 16.504 -0.604 15.454 -1.191 1934 3 19.056 -1.019 0 0 19.301 -0.773 19.164 -0.447 1934 4 21.778 -0.881 0 0 22.024 -0.635 21.860 -0.335 1934 5 24.833 -0.616 0 0 25.130 -0.320 24.934 -0.053 1934 6 27.000 -0.404 0 0 27.325 -0.079 26.906 -0.035 1934 7 28.000 -0.294 0 0 28.250 -0.044 27.810 -0.021 1934 8 27.889 -0.474 0 0 28.062 -0.301 27.755 -0.144 1934 9 27.000 -0.519 0 0 27.213 -0.306 27.167 0.110 1934 10 24.944 0.781 0 0 25.227 1.063 24.657 0.956 1934 11 20.444 0.091 0 0 20.687 0.334 20.197 0.307 1934 12 17.333 0.181 0 0 17.488 0.335 16.440 -0.250 1935 1 17.000 0.559 0 0 17.159 0.718 16.504 0.525 1935 2 17.111 0.003 0 0 17.337 0.229 15.856 -0.789 1935 3 21.889 1.815 0 0 22.134 2.060 21.535 1.924 1935 4 23.111 0.453 0 0 23.357 0.698 22.696 0.501 1935 5 25.944 0.495 0 0 26.241 0.791 25.726 0.739 1935 6 27.333 -0.071 0 0 27.658 0.254 26.849 -0.093 1935 7 27.278 -1.017 0 0 27.528 -0.766 27.188 -0.644 1935 8 28.667 0.304 0 0 28.839 0.477 28.085 0.186 1935 9 26.889 -0.630 0 0 27.102 -0.417 26.874 -0.183 1935 10 24.167 0.003 0 0 24.450 0.286 24.241 0.540 1935 11 20.167 -0.187 0 0 20.410 0.056 20.092 0.202 1935 12 12.333 -4.819 0 0 12.488 -4.665 12.134 -4.556 1936 1 16.667 0.226 0 0 16.826 0.385 16.334 0.356 1936 2 16.333 -0.774 0 0 16.559 -0.548 15.440 -1.205 1936 3 18.444 -1.630 0 0 18.690 -1.384 19.313 -0.298 1936 4 22.444 -0.214 0 0 22.690 0.032 22.266 0.070 1936 5 24.556 -0.894 0 0 24.852 -0.598 24.716 -0.271 1936 6 26.111 -1.293 0 0 26.436 -0.968 26.139 -0.802 1936 7 28.111 -0.183 0 0 28.361 0.067 27.714 -0.117 1936 8 27.889 -0.474 0 0 28.062 -0.301 27.579 -0.321 1936 9 27.444 -0.075 0 0 27.657 0.138 27.379 0.323 1936 10 25.333 1.169 0 0 25.616 1.452 25.132 1.431 1936 11 19.222 -1.131 0 0 19.465 -0.888 19.174 -0.716 1936 12 18.333 1.181 0 0 18.488 1.335 17.935 1.245 1937 1 22.278 5.837 0 0 22.437 5.996 21.294 5.315 1937 2 17.944 0.837 0 4 17.797 0.689 16.483 -0.162 1937 3 19.167 -0.907 0 0 19.007 -1.067 18.470 -1.142 1937 4 22.222 -0.436 0 0 22.062 -0.596 21.450 -0.745 1937 5 25.000 -0.450 0 0 24.807 -0.643 24.407 -0.580 1937 6 27.444 0.040 0 0 27.233 -0.172 27.028 0.087 1937 7 27.889 -0.406 0 0 27.726 -0.569 27.456 -0.375 1937 8 28.111 -0.251 0 0 27.998 -0.364 27.794 -0.106 1937 9 27.167 -0.353 0 0 27.028 -0.491 26.947 -0.110 1937 10 23.444 -0.719 0 0 23.260 -0.904 22.827 -0.874 1937 11 18.667 -1.687 0 0 18.508 -1.845 18.540 -1.350 1937 12 16.222 -0.931 0 0 16.121 -1.031 15.390 -1.300 1938 1 16.444 0.003 0 0 16.341 -0.101 15.662 -0.316 1938 2 19.111 2.003 0 0 18.964 1.856 17.791 1.146 1938 3 22.111 2.037 0 0 21.951 1.877 21.562 1.951 1938 4 22.333 -0.325 0 0 22.173 -0.485 22.248 0.053 1938 5 26.000 0.550 0 0 25.807 0.357 25.510 0.524 1938 6 26.556 -0.849 0 0 26.344 -1.061 26.077 -0.865 1938 7 27.667 -0.628 0 0 27.504 -0.791 27.047 -0.784 1938 8 28.167 -0.196 0 0 28.054 -0.308 27.834 -0.065 1938 9 27.000 -0.519 0 0 26.861 -0.658 26.774 -0.282 1938 10 22.222 -1.942 0 0 22.038 -2.126 22.318 -1.383 1938 11 20.944 0.591 0 0 20.786 0.433 20.842 0.951 1938 12 16.222 -0.931 0 0 16.121 -1.031 16.071 -0.619 1939 1 17.556 1.114 0 0 17.452 1.011 16.630 0.652 1939 2 21.222 4.114 0 0 21.075 3.967 19.755 3.110 1939 3 22.500 2.426 0 0 22.340 2.266 21.498 1.887 1939 4 23.333 0.675 0 0 23.173 0.515 22.592 0.397 1939 5 24.778 -0.672 0 0 24.585 -0.865 24.485 -0.502 1939 6 27.556 0.151 0 0 27.344 -0.061 27.104 0.163 1939 7 28.333 0.039 0 0 28.170 -0.124 27.514 -0.317 1939 8 27.667 -0.696 0 0 27.554 -0.808 26.941 -0.958 1939 9 28.222 0.703 0 0 28.083 0.564 27.584 0.528 1939 10 25.444 1.281 0 0 25.260 1.096 24.735 1.034 1939 11 18.889 -1.464 0 0 18.731 -1.623 18.654 -1.237 1939 12 16.611 -0.542 0 0 16.510 -0.643 15.741 -0.949 1940 1 12.000 -4.441 0 0 11.896 -4.545 11.386 -4.592 1940 2 15.944 -1.163 0 0 15.797 -1.311 14.309 -2.335 1940 3 19.000 -1.074 0 0 18.840 -1.234 18.446 -1.165 1940 4 21.333 -1.325 0 0 21.173 -1.485 20.915 -1.280 1940 5 23.889 -1.561 0 0 23.696 -1.754 23.438 -1.548 1940 6 28.000 0.596 0 0 27.788 0.384 27.112 0.171 1940 7 28.667 0.372 0 0 28.504 0.209 27.864 0.033 1940 8 28.667 0.304 0 0 28.554 0.192 27.934 0.035 1940 9 26.222 -1.297 0 0 26.083 -1.436 26.150 -0.907 1940 10 22.833 -1.331 0 0 22.649 -1.515 22.212 -1.490 1940 11 19.722 -0.631 0 0 19.564 -0.789 19.738 -0.152 1940 12 19.778 2.625 0 0 19.677 2.524 19.053 2.363 1941 1 15.667 -0.774 0 0 15.563 -0.878 15.357 -0.622 1941 2 14.889 -2.219 0 0 14.742 -2.366 13.792 -2.853 1941 3 17.278 -2.796 0 0 17.118 -2.956 17.143 -2.468 1941 4 22.556 -0.103 0 0 22.395 -0.263 21.991 -0.204 1941 5 24.222 -1.228 0 0 24.029 -1.421 23.507 -1.480 1941 6 28.389 0.984 0 0 28.177 0.773 27.432 0.490 1941 7 28.111 -0.183 0 0 27.948 -0.346 27.727 -0.105 1941 8 29.667 1.304 0 0 29.554 1.192 28.900 1.000 1941 9 28.000 0.481 0 0 27.861 0.342 27.680 0.624 1941 10 26.667 2.503 0 0 26.482 2.318 26.023 2.322 1941 11 21.000 0.647 0 0 20.842 0.488 20.807 0.916 1941 12 19.556 2.403 0 0 19.455 2.302 19.009 2.319 1942 1 15.667 -0.774 0 0 15.563 -0.878 14.911 -1.067 1942 2 14.667 -2.441 0 0 14.519 -2.589 13.516 -3.129 1942 3 19.222 -0.852 0 0 19.062 -1.012 18.497 -1.114 1942 4 21.833 -0.825 0 0 21.673 -0.985 21.200 -0.996 1942 5 25.111 -0.339 0 0 24.918 -0.532 24.580 -0.407 1942 6 27.667 0.262 0 0 27.455 0.050 27.065 0.124 1942 7 29.444 1.150 0 0 29.281 0.987 28.743 0.912 1942 8 29.500 1.138 0 0 29.387 1.025 28.170 0.270 1942 9 28.222 0.703 0 0 28.083 0.564 27.651 0.595 1942 10 24.556 0.392 0 0 24.371 0.207 23.539 -0.162 1942 11 21.556 1.202 0 0 21.397 1.044 20.763 0.872 1942 12 18.889 1.736 0 0 18.788 1.635 18.033 1.343 1943 1 18.222 1.781 0 0 18.118 1.677 17.128 1.150 1943 2 16.000 -1.108 0 0 15.853 -1.255 14.681 -1.964 1943 3 20.111 0.037 0 0 19.951 -0.123 19.614 0.003 1943 4 21.944 -0.714 0 0 21.784 -0.874 21.457 -0.739 1943 5 26.389 0.939 0 0 26.196 0.746 25.532 0.545 1943 6 28.222 0.818 0 0 28.010 0.606 27.363 0.421 1943 7 28.000 -0.294 0 0 27.837 -0.458 27.383 -0.448 1943 8 28.333 -0.029 0 0 28.221 -0.142 27.805 -0.095 1943 9 27.222 -0.297 0 0 27.083 -0.436 26.965 -0.091 1943 10 22.111 -2.053 0 0 21.927 -2.237 21.867 -1.834 1943 11 19.389 -0.964 0 0 19.231 -1.123 19.020 -0.870 1943 12 17.333 0.181 0 0 17.232 0.080 16.532 -0.157 1944 1 15.889 -0.552 0 0 15.785 -0.656 15.119 -0.859 1944 2 21.000 3.892 0 0 20.853 3.745 19.126 2.481 1944 3 21.778 1.704 0 0 21.618 1.544 21.412 1.800 1944 4 23.667 1.008 0 0 23.506 0.848 23.138 0.943 1944 5 24.944 -0.505 0 0 24.751 -0.699 24.332 -0.654 1944 6 28.889 1.484 0 0 28.677 1.273 27.667 0.725 1944 7 28.000 -0.294 0 0 27.837 -0.458 27.392 -0.439 1944 8 28.222 -0.140 0 0 28.110 -0.253 27.634 -0.266 1944 9 28.000 0.481 0 0 27.861 0.342 27.893 0.836 1944 10 22.833 -1.331 0 0 22.649 -1.515 22.633 -1.068 1944 11 19.444 -0.909 0 0 19.286 -1.067 18.879 -1.011 1944 12 15.222 -1.931 0 0 15.121 -2.031 14.965 -1.725 1945 1 16.444 0.003 0 0 16.341 -0.101 15.766 -0.212 1945 2 19.833 2.726 0 0 19.686 2.578 18.365 1.720 1945 3 22.889 2.815 0 0 22.729 2.655 22.384 2.772 1945 4 24.556 1.897 0 0 24.395 1.737 24.321 2.125 1945 5 24.778 -0.672 0 0 24.585 -0.865 24.398 -0.589 1945 6 27.778 0.373 0 0 27.566 0.161 27.360 0.418 1945 7 27.667 -0.628 0 0 27.504 -0.791 27.324 -0.507 1945 8 28.278 -0.085 0 0 28.165 -0.197 27.755 -0.144 1945 9 27.444 -0.075 0 0 27.306 -0.214 27.322 0.265 1945 10 24.333 0.169 0 0 24.149 -0.015 24.154 0.453 1945 11 19.611 -0.742 0 0 19.453 -0.900 19.173 -0.717 1945 12 16.556 -0.597 0 0 16.455 -0.698 15.770 -0.920 1946 1 17.333 0.892 0 0 17.229 0.788 16.979 1.001 1946 2 17.778 0.670 0 0 17.630 0.523 17.145 0.500 1946 3 20.556 0.481 0 0 20.395 0.321 20.540 0.928 1946 4 22.778 0.119 0 0 22.618 -0.041 22.600 0.404 1946 5 25.889 0.439 0 0 25.696 0.246 25.477 0.490 1946 6 NaN NaN NaN NaN NaN NaN 26.614 -0.328 1946 7 NaN NaN NaN NaN NaN NaN 27.583 -0.248 1946 8 NaN NaN NaN NaN NaN NaN 27.709 -0.191 1946 9 NaN NaN NaN NaN NaN NaN 27.132 0.076 1946 10 NaN NaN NaN NaN NaN NaN 24.380 0.679 1946 11 NaN NaN NaN NaN NaN NaN 22.979 3.088 1946 12 NaN NaN NaN NaN NaN NaN 19.376 2.687 1947 1 NaN NaN NaN NaN NaN NaN 20.248 4.270 1947 2 NaN NaN NaN NaN NaN NaN 12.681 -3.964 1947 3 NaN NaN NaN NaN NaN NaN 17.556 -2.055 1947 4 NaN NaN NaN NaN NaN NaN 24.465 2.269 1947 5 NaN NaN NaN NaN NaN NaN 25.265 0.278