% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26051 % Primary Name: MAMMOTH GROVE LAKE WALES % Record Type: TAVG % Country: United States % State: FL % Latitude: 27.90000 +/- 0.00005 % Longitude: -81.56670 +/- 0.00005 % Elevation (m): 46.63 +/- 0.15 % # of Months: 160 % % Alternate Names: MAMMOTH GROVE LK WALES % Missing Station ID - 85315 % % IDs: coop - 85315 % ghcnd - USC00085315 % ncdc - 12001346 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4aaa8ff3f15e78e544f805a6b7d9091a % Raw Data Hash: 024ff7e41ad81e40ac853ef8db460b78 % Adj Data Hash: de6de5c79a39a888da3a45fd8020cc5a % % 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 1920 9 NaN NaN NaN NaN NaN NaN 27.128 0.072 1920 10 NaN NaN NaN NaN NaN NaN 22.446 -1.255 1920 11 NaN NaN NaN NaN NaN NaN 19.515 -0.375 1920 12 NaN NaN NaN NaN NaN NaN 15.945 -0.745 1921 1 NaN NaN NaN NaN NaN NaN 16.720 0.742 1921 2 NaN NaN NaN NaN NaN NaN 16.881 0.236 1921 3 NaN NaN NaN NaN NaN NaN 22.318 2.707 1921 4 NaN NaN NaN NaN NaN NaN 22.288 0.093 1921 5 NaN NaN NaN NaN NaN NaN 23.623 -1.364 1921 6 NaN NaN NaN NaN NaN NaN 26.865 -0.077 1921 7 NaN NaN NaN NaN NaN NaN 27.242 -0.589 1921 8 NaN NaN NaN NaN NaN NaN 27.588 -0.312 1921 9 28.132 0.931 0 0 28.132 0.931 27.779 0.723 1921 10 24.441 0.596 0 0 24.441 0.596 23.593 -0.108 1921 11 21.495 1.461 0 0 21.495 1.461 20.822 0.931 1921 12 19.615 2.781 0 0 19.615 2.781 18.100 1.410 1922 1 18.021 1.899 0 0 18.021 1.899 15.738 -0.241 1922 2 20.370 3.581 0 0 20.370 3.581 18.459 1.814 1922 3 21.134 1.379 0 0 21.134 1.379 20.776 1.164 1922 4 24.200 1.860 0 0 24.200 1.860 23.641 1.445 1922 5 25.319 0.188 0 0 25.319 0.188 25.192 0.205 1922 6 27.728 0.643 0 0 27.728 0.643 26.883 -0.059 1922 7 27.445 -0.531 0 0 27.445 -0.531 27.329 -0.503 1922 8 27.108 -0.936 0 0 27.108 -0.936 26.982 -0.918 1922 9 26.345 -0.855 0 0 26.345 -0.855 26.414 -0.643 1922 10 24.394 0.549 0 0 24.394 0.549 24.578 0.877 1922 11 20.968 0.934 0 0 20.968 0.934 20.846 0.956 1922 12 19.327 2.493 0 0 19.327 2.493 18.596 1.906 1923 1 17.335 1.213 0 0 17.335 1.213 16.795 0.817 1923 2 18.043 1.254 0 0 18.043 1.254 17.012 0.367 1923 3 21.467 1.711 0 0 21.467 1.711 21.400 1.788 1923 4 23.240 0.900 0 0 23.240 0.900 23.053 0.858 1923 5 24.135 -0.996 0 0 24.135 -0.996 24.015 -0.972 1923 6 NaN NaN NaN NaN NaN NaN 26.479 -0.463 1923 7 27.566 -0.409 0 0 27.566 -0.409 27.274 -0.557 1923 8 28.435 0.391 0 0 28.435 0.391 27.766 -0.134 1923 9 27.785 0.585 0 0 27.785 0.585 26.917 -0.139 1923 10 23.408 -0.437 0 0 23.408 -0.437 22.959 -0.742 1923 11 NaN NaN NaN NaN NaN NaN 17.734 -2.156 1923 12 19.391 2.557 0 0 19.391 2.557 18.518 1.828 1924 1 16.845 0.723 0 0 16.845 0.723 16.851 0.873 1924 2 15.526 -1.263 0 0 15.526 -1.263 14.288 -2.357 1924 3 16.968 -2.788 0 0 16.968 -2.788 17.064 -2.547 1924 4 22.560 0.220 0 0 22.560 0.220 22.232 0.037 1924 5 24.523 -0.608 0 0 24.523 -0.608 24.771 -0.216 1924 6 27.535 0.449 0 0 27.535 0.449 27.772 0.830 1924 7 27.542 -0.434 0 0 27.542 -0.434 27.667 -0.164 1924 8 26.749 -1.294 0 0 26.749 -1.294 28.274 0.375 1924 9 26.265 -0.935 0 0 26.265 -0.935 26.948 -0.108 1924 10 22.844 -1.002 0 0 22.844 -1.002 22.704 -0.997 1924 11 NaN NaN NaN NaN NaN NaN 19.468 -0.422 1924 12 NaN NaN NaN NaN NaN NaN 18.437 1.747 1925 1 NaN NaN NaN NaN NaN NaN 18.693 2.715 1925 2 18.100 1.311 0 0 18.100 1.311 17.137 0.492 1925 3 19.315 -0.440 0 0 19.315 -0.440 19.442 -0.169 1925 4 21.492 -0.847 0 0 21.492 -0.847 21.569 -0.627 1925 5 23.940 -1.191 0 0 23.940 -1.191 23.718 -1.269 1925 6 26.820 -0.265 0 0 26.820 -0.265 26.751 -0.190 1925 7 27.319 -0.656 0 0 27.319 -0.656 27.324 -0.508 1925 8 27.642 -0.402 0 0 27.642 -0.402 27.679 -0.220 1925 9 28.453 1.253 0 0 28.453 1.253 28.319 1.263 1925 10 24.693 0.848 1 0 NaN NaN 24.839 1.138 1925 11 NaN NaN NaN NaN NaN NaN 19.803 -0.087 1925 12 NaN NaN NaN NaN NaN NaN 15.736 -0.954 1926 1 15.634 -0.488 1 0 NaN NaN 15.178 -0.800 1926 2 NaN NaN NaN NaN NaN NaN 15.875 -0.770 1926 3 16.728 -3.028 0 0 16.728 -3.028 17.434 -2.178 1926 4 20.825 -1.515 0 0 20.825 -1.515 21.390 -0.806 1926 5 23.937 -1.194 0 0 23.937 -1.194 24.242 -0.745 1926 6 26.672 -0.414 0 0 26.672 -0.414 26.625 -0.317 1926 7 27.595 -0.381 0 0 27.595 -0.381 27.418 -0.413 1926 8 28.032 -0.011 0 0 28.032 -0.011 28.084 0.184 1926 9 27.463 0.263 0 0 27.463 0.263 27.779 0.722 1926 10 23.527 -0.318 0 0 23.527 -0.318 24.005 0.304 1926 11 18.407 -1.628 0 0 18.407 -1.628 18.978 -0.912 1926 12 18.045 1.211 0 0 18.045 1.211 18.576 1.886 1927 1 15.168 -0.955 0 0 15.168 -0.955 15.496 -0.482 1927 2 20.143 3.354 0 0 20.143 3.354 19.444 2.799 1927 3 18.976 -0.780 0 0 18.976 -0.780 19.453 -0.158 1927 4 23.035 0.695 0 0 23.035 0.695 23.001 0.806 1927 5 26.156 1.025 0 0 26.156 1.025 25.698 0.711 1927 6 28.775 1.689 0 0 28.775 1.689 28.174 1.233 1927 7 27.921 -0.055 0 0 27.921 -0.055 27.779 -0.053 1927 8 28.456 0.413 0 0 28.456 0.413 27.937 0.038 1927 9 26.558 -0.642 0 0 26.558 -0.642 26.940 -0.116 1927 10 24.024 0.179 0 0 24.024 0.179 23.729 0.028 1927 11 19.783 -0.251 0 0 19.783 -0.251 20.498 0.608 1927 12 16.115 -0.719 0 0 16.115 -0.719 16.002 -0.687 1928 1 14.229 -1.893 0 0 14.229 -1.893 14.096 -1.883 1928 2 NaN NaN NaN NaN NaN NaN 17.358 0.713 1928 3 20.808 1.052 0 0 20.808 1.052 20.477 0.866 1928 4 21.784 -0.556 1 0 NaN NaN 21.087 -1.109 1928 5 NaN NaN NaN NaN NaN NaN 23.056 -1.931 1928 6 28.020 0.934 1 0 NaN NaN 26.536 -0.406 1928 7 28.178 0.202 0 0 28.178 0.202 27.564 -0.268 1928 8 27.815 -0.228 0 0 27.815 -0.228 27.464 -0.436 1928 9 27.228 0.028 0 0 27.228 0.028 26.962 -0.095 1928 10 24.905 1.060 0 0 24.905 1.060 24.561 0.860 1928 11 20.147 0.112 1 0 NaN NaN 19.378 -0.513 1928 12 17.455 0.621 0 0 17.455 0.621 16.131 -0.558 1929 1 19.231 3.108 0 0 19.231 3.108 17.990 2.012 1929 2 20.271 3.482 0 0 20.271 3.482 18.441 1.796 1929 3 22.348 2.593 0 0 22.348 2.593 21.912 2.301 1929 4 24.187 1.847 0 0 24.187 1.847 23.595 1.400 1929 5 25.724 0.593 0 0 25.724 0.593 25.326 0.339 1929 6 27.008 -0.077 0 0 27.008 -0.077 26.480 -0.462 1929 7 27.329 -0.647 0 0 27.329 -0.647 26.978 -0.854 1929 8 28.425 0.382 0 0 28.425 0.382 27.780 -0.119 1929 9 27.247 0.046 0 0 27.247 0.046 27.180 0.124 1929 10 23.189 -0.656 0 0 23.189 -0.656 22.787 -0.914 1929 11 22.732 2.698 0 0 22.732 2.698 21.878 1.988 1929 12 17.306 0.472 0 0 17.306 0.472 16.098 -0.592 1930 1 19.192 3.070 0 0 19.192 3.070 18.224 2.246 1930 2 19.179 2.389 0 0 19.179 2.389 17.596 0.951 1930 3 18.148 -1.607 0 0 18.148 -1.607 17.851 -1.761 1930 4 21.667 -0.673 0 0 21.667 -0.673 21.899 -0.297 1930 5 25.041 -0.090 0 0 25.041 -0.090 25.100 0.113 1930 6 25.679 -1.407 0 0 25.679 -1.407 25.770 -1.172 1930 7 28.142 0.166 0 0 28.142 0.166 28.121 0.290 1930 8 27.066 -0.978 0 0 27.066 -0.978 27.155 -0.745 1930 9 27.317 0.116 0 0 27.317 0.116 27.715 0.659 1930 10 22.140 -1.705 0 0 22.140 -1.705 22.568 -1.133 1930 11 18.907 -1.128 0 0 18.907 -1.128 18.839 -1.051 1930 12 14.156 -2.678 0 0 14.156 -2.678 14.108 -2.582 1931 1 14.990 -1.132 0 0 14.990 -1.132 14.116 -1.862 1931 2 16.000 -0.789 0 0 16.000 -0.789 14.928 -1.717 1931 3 16.445 -3.310 0 0 16.445 -3.310 16.109 -3.503 1931 4 20.363 -1.976 0 0 20.363 -1.976 20.527 -1.668 1931 5 23.774 -1.357 0 0 23.774 -1.357 24.129 -0.858 1931 6 27.048 -0.037 0 0 27.048 -0.037 26.786 -0.155 1931 7 28.252 0.276 0 0 28.252 0.276 28.389 0.558 1931 8 27.816 -0.228 0 0 27.816 -0.228 27.900 -0.000 1931 9 26.918 -0.282 0 0 26.918 -0.282 27.385 0.329 1931 10 24.285 0.440 0 0 24.285 0.440 24.251 0.550 1931 11 21.142 1.107 0 0 21.142 1.107 21.222 1.332 1931 12 22.318 5.484 0 0 22.318 5.484 21.598 4.908 1932 1 19.997 3.874 0 0 19.997 3.874 19.349 3.371 1932 2 21.693 4.904 0 0 21.693 4.904 20.237 3.592 1932 3 18.188 -1.567 0 0 18.188 -1.567 17.923 -1.688 1932 4 21.463 -0.876 0 0 21.463 -0.876 21.579 -0.617 1932 5 24.724 -0.407 0 0 24.724 -0.407 24.743 -0.244 1932 6 26.624 -0.461 0 0 26.624 -0.461 26.973 0.032 1932 7 28.960 0.984 0 0 28.960 0.984 28.959 1.128 1932 8 28.171 0.127 0 0 28.171 0.127 27.949 0.049 1932 9 26.777 -0.424 0 0 26.777 -0.424 26.876 -0.181 1932 10 24.108 0.263 0 0 24.108 0.263 24.125 0.424 1932 11 17.760 -2.274 0 0 17.760 -2.274 18.503 -1.387 1932 12 18.576 1.742 0 0 18.576 1.742 19.045 2.355 1933 1 17.310 1.188 0 0 17.310 1.188 17.547 1.568 1933 2 19.227 2.438 0 0 19.227 2.438 18.892 2.247 1933 3 18.605 -1.151 0 0 18.605 -1.151 18.990 -0.622 1933 4 21.157 -1.183 0 0 21.157 -1.183 21.896 -0.299 1933 5 25.105 -0.026 0 0 25.105 -0.026 26.280 1.293 1933 6 25.470 -1.616 0 0 25.470 -1.616 26.135 -0.807 1933 7 26.621 -1.355 0 0 26.621 -1.355 27.487 -0.345 1933 8 28.011 -0.032 0 0 28.011 -0.032 27.781 -0.119 1933 9 27.813 0.613 0 0 27.813 0.613 28.014 0.958 1933 10 24.158 0.313 0 0 24.158 0.313 24.284 0.583 1933 11 18.012 -2.023 0 0 18.012 -2.023 18.423 -1.467 1933 12 18.170 1.336 0 0 18.170 1.336 18.021 1.332 1934 1 17.194 1.071 0 0 17.194 1.071 17.021 1.042 1934 2 16.148 -0.641 0 0 16.148 -0.641 15.454 -1.191 1934 3 18.750 -1.005 0 0 18.750 -1.005 19.164 -0.447 1934 4 22.708 0.369 0 0 22.708 0.369 21.860 -0.335 1934 5 NaN NaN NaN NaN NaN NaN 24.934 -0.053 1934 6 28.325 1.239 1 0 NaN NaN 26.906 -0.035 1934 7 28.042 0.066 0 0 28.042 0.066 27.810 -0.021 1934 8 28.089 0.045 0 0 28.089 0.045 27.755 -0.144 1934 9 27.195 -0.005 0 0 27.195 -0.005 27.167 0.110 1934 10 24.981 1.135 0 0 24.981 1.135 24.657 0.956 1934 11 20.717 0.682 0 0 20.717 0.682 20.197 0.307 1934 12 17.448 0.614 0 0 17.448 0.614 16.440 -0.250 1935 1 17.018 0.895 0 0 17.018 0.895 16.504 0.525 1935 2 15.875 -0.914 0 0 15.875 -0.914 15.856 -0.789 1935 3 21.215 1.459 0 0 21.215 1.459 21.535 1.924 1935 4 NaN NaN NaN NaN NaN NaN 22.696 0.501 1935 5 25.587 0.456 0 0 25.587 0.456 25.726 0.739 1935 6 25.197 -1.889 0 0 25.197 -1.889 26.849 -0.093 1935 7 NaN NaN NaN NaN NaN NaN 27.188 -0.644 1935 8 NaN NaN NaN NaN NaN NaN 28.085 0.186 1935 9 NaN NaN NaN NaN NaN NaN 26.874 -0.183 1935 10 22.145 -1.700 0 0 22.145 -1.700 24.241 0.540 1935 11 18.675 -1.359 0 0 18.675 -1.359 20.092 0.202 1935 12 10.455 -6.379 1 0 NaN NaN 12.134 -4.556 1936 1 15.971 -0.151 0 0 15.971 -0.151 16.334 0.356 1936 2 15.272 -1.517 0 0 15.272 -1.517 15.440 -1.205 1936 3 NaN NaN NaN NaN NaN NaN 19.313 -0.298 1936 4 20.887 -1.453 0 0 20.887 -1.453 22.266 0.070 1936 5 NaN NaN NaN NaN NaN NaN 24.716 -0.271 1936 6 NaN NaN NaN NaN NaN NaN 26.139 -0.802 1936 7 NaN NaN NaN NaN NaN NaN 27.714 -0.117 1936 8 NaN NaN NaN NaN NaN NaN 27.579 -0.321 1936 9 NaN NaN NaN NaN NaN NaN 27.379 0.323 1936 10 NaN NaN NaN NaN NaN NaN 25.132 1.431 1936 11 NaN NaN NaN NaN NaN NaN 19.174 -0.716 1936 12 NaN NaN NaN NaN NaN NaN 17.935 1.245 1937 1 NaN NaN NaN NaN NaN NaN 21.294 5.315 1937 2 NaN NaN NaN NaN NaN NaN 16.483 -0.162 1937 3 NaN NaN NaN NaN NaN NaN 18.470 -1.142 1937 4 NaN NaN NaN NaN NaN NaN 21.450 -0.745