% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26539 % Primary Name: HASTINGS % Record Type: TAVG % Country: United States % State: FL % Latitude: 29.80000 +/- 0.00833 % Longitude: -81.58333 +/- 0.00833 % Elevation (m): 3.00 +/- 0.05 % # of Months: 158 % % IDs: coop - 83852 % ncdc - 20004547 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3e40ed1dbcedb1d2dd073bcccf2b671c % Raw Data Hash: 4b66324754598ec49e4e553dd1d21870 % Adj Data Hash: fc5ed0abab53d8de3ee2a1791e399d79 % % 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 15.554 1.241 1930 2 NaN NaN NaN NaN NaN NaN 15.997 1.170 1930 3 NaN NaN NaN NaN NaN NaN 15.516 -2.246 1930 4 NaN NaN NaN NaN NaN NaN 20.508 -0.093 1930 5 NaN NaN NaN NaN NaN NaN 23.943 0.231 1930 6 NaN NaN NaN NaN NaN NaN 24.499 -1.505 1930 7 NaN NaN NaN NaN NaN NaN 27.695 0.593 1930 8 NaN NaN NaN NaN NaN NaN 26.103 -1.050 1930 9 NaN NaN NaN NaN NaN NaN 27.453 1.107 1930 10 NaN NaN NaN NaN NaN NaN 21.216 -1.400 1930 11 NaN NaN NaN NaN NaN NaN 17.626 -1.042 1930 12 NaN NaN NaN NaN NaN NaN 12.528 -2.794 1931 1 12.333 -1.550 0 0 12.462 -1.421 12.766 -1.547 1931 2 13.556 -0.842 0 0 13.705 -0.693 13.415 -1.411 1931 3 14.222 -3.111 0 0 14.413 -2.921 14.786 -2.977 1931 4 18.333 -1.838 0 0 18.442 -1.730 18.964 -1.637 1931 5 22.333 -0.950 0 0 22.306 -0.978 22.784 -0.929 1931 6 26.556 0.981 0 0 26.555 0.980 26.063 0.060 1931 7 28.278 1.605 0 0 28.436 1.763 28.049 0.947 1931 8 26.778 0.054 0 0 26.980 0.256 26.820 -0.333 1931 9 26.111 0.194 0 0 26.206 0.288 27.304 0.958 1931 10 22.111 -0.076 0 0 22.158 -0.029 23.456 0.840 1931 11 18.944 0.705 0 0 19.064 0.825 20.553 1.885 1931 12 20.333 5.440 0 0 20.492 5.599 21.085 5.763 1932 1 17.889 4.006 0 0 18.018 4.135 18.646 4.333 1932 2 19.444 5.047 0 0 19.594 5.196 19.292 4.466 1932 3 14.889 -2.445 0 0 15.079 -2.254 15.700 -2.062 1932 4 19.500 -0.672 0 0 19.608 -0.563 20.122 -0.478 1932 5 23.111 -0.172 0 0 23.083 -0.200 23.396 -0.316 1932 6 26.333 0.759 0 0 26.333 0.758 26.017 0.014 1932 7 28.333 1.660 0 0 28.492 1.819 28.291 1.189 1932 8 27.333 0.609 0 0 27.535 0.811 27.084 -0.069 1932 9 24.778 -1.139 0 0 24.872 -1.045 26.050 -0.296 1932 10 22.111 -0.076 0 0 22.158 -0.029 22.920 0.303 1932 11 16.444 -1.795 0 0 16.564 -1.675 17.400 -1.268 1932 12 17.556 2.662 0 0 17.714 2.821 18.259 2.937 1933 1 15.778 1.894 0 0 15.907 2.024 16.345 2.033 1933 2 17.111 2.714 0 0 17.260 2.863 16.830 2.003 1933 3 16.667 -0.667 0 0 16.857 -0.476 17.461 -0.302 1933 4 19.389 -0.783 0 0 19.497 -0.675 19.992 -0.609 1933 5 25.222 1.939 0 0 25.195 1.911 25.466 1.754 1933 6 25.611 0.036 0 0 25.611 0.036 25.527 -0.476 1933 7 26.667 -0.006 0 0 26.825 0.152 26.501 -0.601 1933 8 27.056 0.332 0 0 27.257 0.533 27.017 -0.136 1933 9 26.722 0.805 0 0 26.817 0.900 27.800 1.454 1933 10 22.444 0.257 0 0 22.492 0.304 23.232 0.615 1933 11 15.889 -2.350 0 0 16.009 -2.230 17.414 -1.254 1933 12 16.389 1.496 0 0 16.548 1.654 17.621 2.299 1934 1 15.000 1.117 0 0 15.129 1.246 15.691 1.379 1934 2 13.500 -0.897 0 0 13.649 -0.748 13.299 -1.528 1934 3 16.222 -1.111 0 0 16.413 -0.921 16.969 -0.794 1934 4 19.833 -0.338 0 0 19.942 -0.230 20.443 -0.157 1934 5 23.111 -0.172 0 0 23.083 -0.200 23.233 -0.479 1934 6 26.333 0.759 0 0 26.333 0.758 26.157 0.154 1934 7 27.333 0.660 0 0 27.492 0.819 27.294 0.192 1934 8 26.778 0.054 0 0 26.980 0.256 26.969 -0.183 1934 9 25.444 -0.473 0 0 25.539 -0.378 26.675 0.329 1934 10 22.444 0.257 0 0 22.492 0.304 23.591 0.974 1934 11 NaN NaN NaN NaN NaN NaN 19.434 0.766 1934 12 13.944 -0.949 0 0 14.103 -0.790 15.085 -0.237 1935 1 14.389 0.506 0 0 14.518 0.635 15.215 0.903 1935 2 NaN NaN NaN NaN NaN NaN 14.097 -0.729 1935 3 20.056 2.722 0 0 20.246 2.912 20.418 2.656 1935 4 21.111 0.939 0 0 21.219 1.048 21.409 0.808 1935 5 24.222 0.939 0 0 24.195 0.911 24.449 0.737 1935 6 26.444 0.870 0 0 26.444 0.869 26.450 0.447 1935 7 26.556 -0.117 0 0 26.714 0.041 26.363 -0.739 1935 8 27.722 0.998 0 0 27.924 1.200 27.464 0.311 1935 9 25.889 -0.028 0 0 25.983 0.066 26.351 0.005 1935 10 22.944 0.757 0 0 22.992 0.804 23.561 0.944 1935 11 18.111 -0.128 0 0 18.231 -0.008 19.527 0.859 1935 12 10.278 -4.615 0 0 10.436 -4.457 11.298 -4.024 1936 1 13.278 -0.606 0 0 13.407 -0.476 14.074 -0.238 1936 2 13.111 -1.286 0 0 13.260 -1.137 12.785 -2.042 1936 3 17.778 0.444 0 0 17.968 0.635 18.297 0.535 1936 4 19.889 -0.283 0 0 19.997 -0.175 20.586 -0.014 1936 5 22.889 -0.394 0 0 22.861 -0.422 23.649 -0.063 1936 6 25.000 -0.575 0 0 25.000 -0.575 25.491 -0.512 1936 7 27.111 0.438 0 0 27.270 0.597 27.228 0.127 1936 8 26.667 -0.057 0 0 26.868 0.145 26.982 -0.171 1936 9 26.222 0.305 0 0 26.317 0.400 27.162 0.816 1936 10 23.389 1.201 0 0 23.436 1.249 24.039 1.422 1936 11 16.667 -1.573 0 0 16.787 -1.453 17.852 -0.816 1936 12 15.333 0.440 0 0 15.492 0.599 16.181 0.858 1937 1 20.056 6.172 0 0 20.185 6.301 20.682 6.370 1937 2 14.944 0.547 0 0 15.094 0.696 14.832 0.006 1937 3 14.667 -2.667 0 0 14.857 -2.476 16.386 -1.377 1937 4 NaN NaN NaN NaN NaN NaN 19.976 -0.625 1937 5 22.889 -0.394 0 0 22.861 -0.422 23.310 -0.402 1937 6 26.444 0.870 0 0 26.444 0.869 26.548 0.545 1937 7 27.000 0.327 0 0 27.159 0.486 26.769 -0.333 1937 8 26.667 -0.057 0 0 26.868 0.145 26.819 -0.334 1937 9 25.333 -0.584 0 0 25.428 -0.489 26.105 -0.241 1937 10 20.889 -1.299 0 0 20.936 -1.251 21.688 -0.928 1937 11 15.778 -2.461 0 0 15.898 -2.341 17.441 -1.227 1937 12 13.111 -1.782 0 0 13.270 -1.623 13.946 -1.376 1938 1 13.611 -0.272 0 0 13.740 -0.143 14.265 -0.047 1938 2 16.611 2.214 0 0 16.760 2.363 16.495 1.669 1938 3 19.722 2.389 0 0 19.913 2.579 20.414 2.652 1938 4 19.722 -0.449 0 0 19.831 -0.341 20.600 -0.001 1938 5 23.944 0.661 0 0 23.917 0.634 24.399 0.687 1938 6 25.222 -0.352 0 0 25.222 -0.353 25.127 -0.877 1938 7 26.222 -0.451 0 0 26.381 -0.292 26.101 -1.001 1938 8 27.333 0.609 0 0 27.535 0.811 27.442 0.289 1938 9 25.000 -0.917 0 0 25.095 -0.823 26.138 -0.208 1938 10 20.444 -1.743 0 0 20.492 -1.696 21.170 -1.447 1938 11 18.667 0.427 0 0 18.787 0.547 20.068 1.400 1938 12 13.222 -1.671 0 0 13.381 -1.512 14.414 -0.908 1939 1 14.556 0.672 0 0 14.685 0.801 15.510 1.197 1939 2 18.222 3.825 0 0 18.371 3.974 18.141 3.314 1939 3 19.111 1.778 0 0 19.302 1.968 19.611 1.849 1939 4 20.222 0.051 0 4 20.055 -0.117 20.638 0.037 1939 5 23.111 -0.172 0 0 23.154 -0.129 23.218 -0.494 1939 6 26.889 1.314 0 0 26.890 1.315 26.644 0.640 1939 7 27.389 0.716 0 0 27.143 0.470 26.974 -0.128 1939 8 26.778 0.054 0 0 26.465 -0.259 26.380 -0.772 1939 9 26.611 0.694 0 0 26.465 0.548 27.244 0.898 1939 10 22.722 0.535 0 0 22.649 0.462 23.613 0.997 1939 11 16.167 -2.073 0 0 15.981 -2.258 17.311 -1.357 1939 12 13.778 -1.115 0 0 13.532 -1.361 14.896 -0.426 1940 1 8.556 -5.328 0 0 8.356 -5.528 9.041 -5.271 1940 2 12.889 -1.509 0 0 12.658 -1.740 12.707 -2.120 1940 3 16.556 -0.778 0 0 16.261 -1.073 16.644 -1.118 1940 4 18.889 -1.283 0 0 18.721 -1.451 19.153 -1.448 1940 5 21.278 -2.005 0 0 21.321 -1.963 21.803 -1.909 1940 6 26.444 0.870 0 0 26.445 0.870 26.110 0.106 1940 7 27.389 0.716 0 0 27.143 0.470 26.724 -0.377 1940 8 27.667 0.943 0 0 27.354 0.630 27.167 0.014 1940 9 24.667 -1.251 0 0 24.520 -1.397 25.231 -1.116 1940 10 20.222 -1.965 0 0 20.149 -2.038 21.308 -1.308 1940 11 17.444 -0.795 0 0 17.259 -0.980 18.731 0.063 1940 12 17.222 2.329 0 0 16.976 2.083 17.695 2.373 1941 1 13.444 -0.439 0 0 13.245 -0.639 13.824 -0.488 1941 2 11.889 -2.509 0 0 11.658 -2.740 11.450 -3.376 1941 3 14.556 -2.778 0 0 14.261 -3.073 14.910 -2.853 1941 4 20.333 0.162 0 0 20.166 -0.006 20.870 0.270 1941 5 22.333 -0.950 0 0 22.376 -0.907 22.650 -1.062 1941 6 27.222 1.648 0 0 27.223 1.648 26.496 0.493 1941 7 27.667 0.994 0 0 27.421 0.748 27.005 -0.096 1941 8 28.667 1.943 0 0 28.354 1.630 28.113 0.960 1941 9 26.667 0.749 0 0 26.520 0.603 27.161 0.815 1941 10 24.556 2.368 0 0 24.482 2.295 25.549 2.933 1941 11 18.222 -0.017 0 0 18.037 -0.203 19.526 0.858 1941 12 16.556 1.662 0 0 16.310 1.417 17.403 2.081 1942 1 12.833 -1.050 0 0 12.633 -1.250 13.439 -0.873 1942 2 12.333 -2.064 0 0 12.102 -2.295 11.477 -3.350 1942 3 16.444 -0.889 0 0 16.150 -1.184 16.756 -1.006 1942 4 19.167 -1.005 0 0 18.999 -1.173 19.812 -0.789 1942 5 23.000 -0.283 0 0 23.043 -0.240 23.380 -0.332 1942 6 26.444 0.870 0 0 26.445 0.870 26.098 0.095 1942 7 28.444 1.772 0 0 28.199 1.526 28.018 0.916 1942 8 27.222 0.498 0 0 26.910 0.186 27.091 -0.061 1942 9 25.889 -0.028 0 0 25.742 -0.175 26.842 0.496 1942 10 21.667 -0.521 0 0 21.593 -0.594 22.690 0.074 1942 11 18.667 0.427 0 0 18.481 0.242 19.856 1.188 1942 12 16.333 1.440 0 0 16.088 1.194 16.689 1.367 1943 1 15.222 1.339 0 0 15.022 1.139 15.741 1.429 1943 2 13.611 -0.786 0 0 13.380 -1.017 13.652 -1.175 1943 3 18.000 0.666 0 0 17.705 0.372 17.976 0.214 1943 4 19.333 -0.838 0 0 19.166 -1.006 20.024 -0.577 1943 5 23.556 0.272 0 0 23.598 0.315 24.421 0.709 1943 6 25.500 -0.075 0 0 25.501 -0.074 26.963 0.959 1943 7 27.167 0.494 0 0 26.921 0.248 27.040 -0.062 1943 8 NaN NaN NaN NaN NaN NaN 27.269 0.116 1943 9 25.222 -0.695 0 0 25.076 -0.841 26.027 -0.319 1943 10 20.611 -1.576 0 0 20.538 -1.650 20.885 -1.732 1943 11 17.222 -1.017 0 0 17.037 -1.203 17.662 -1.006 1943 12 14.778 -0.115 0 0 14.532 -0.361 15.166 -0.156 1944 1 13.722 -0.161 0 0 13.522 -0.361 13.668 -0.644 1944 2 18.222 3.825 0 0 17.991 3.594 17.639 2.813 1944 3 19.333 2.000 0 0 19.038 1.705 19.229 1.467 1944 4 20.889 0.717 0 0 20.721 0.549 21.001 0.400 1944 5 23.000 -0.283 0 0 23.043 -0.240 23.561 -0.151 1944 6 27.056 1.481 0 0 27.056 1.482 27.139 1.135 1944 7 NaN NaN NaN NaN NaN NaN 26.234 -0.868 1944 8 NaN NaN NaN NaN NaN NaN 26.720 -0.433 1944 9 NaN NaN NaN NaN NaN NaN 27.549 1.203 1944 10 NaN NaN NaN NaN NaN NaN 21.700 -0.916 1944 11 NaN NaN NaN NaN NaN NaN 18.148 -0.520 1944 12 NaN NaN NaN NaN NaN NaN 13.146 -2.176 1945 1 NaN NaN NaN NaN NaN NaN 13.921 -0.391 1945 2 NaN NaN NaN NaN NaN NaN 16.860 2.034 1945 3 NaN NaN NaN NaN NaN NaN 21.403 3.641 1945 4 NaN NaN NaN NaN NaN NaN 22.706 2.105 1945 5 NaN NaN NaN NaN NaN NaN 23.321 -0.391 1945 6 NaN NaN NaN NaN NaN NaN 26.809 0.805