% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43102 % Primary Name: SECLUSION HARBOR % Record Type: TAVG % Country: United States % State: AK % Latitude: 56.55000 +/- 0.00500 % Longitude: -134.05000 +/- 0.00500 % Elevation (m): 6.10 +/- 0.05 % # of Months: 110 % % Alternate Names: Missing Station ID - 508307 % % IDs: coop - 508307 % ghcnd - USC00508307 % ncdc - 20021824 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 817564ad141bc12a01da202b23a084cc % Raw Data Hash: 443d807e280da7ad74acfbb1d4565edb % Adj Data Hash: e0b91fae15c3a76106f8fb87588764c6 % % 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 1931 11 NaN NaN NaN NaN NaN NaN 0.370 -0.976 1931 12 NaN NaN NaN NaN NaN NaN -0.549 0.893 1932 1 NaN NaN NaN NaN NaN NaN -3.327 -0.215 1932 2 NaN NaN NaN NaN NaN NaN -2.266 -1.769 1932 3 NaN NaN NaN NaN NaN NaN 1.130 0.352 1932 4 NaN NaN NaN NaN NaN NaN 4.696 1.093 1932 5 NaN NaN NaN NaN NaN NaN 6.884 -0.209 1932 6 NaN NaN NaN NaN NaN NaN 8.221 -2.009 1932 7 NaN NaN NaN NaN NaN NaN 10.530 -1.653 1932 8 NaN NaN NaN NaN NaN NaN 12.275 0.252 1932 9 NaN NaN NaN NaN NaN NaN 8.519 -0.922 1932 10 NaN NaN NaN NaN NaN NaN 6.204 0.817 1932 11 2.222 -0.247 0 0 2.084 -0.385 0.271 -1.075 1932 12 -1.111 -0.793 0 0 -1.214 -0.896 -3.001 -1.559 1933 1 -1.333 0.655 0 0 -1.459 0.529 -4.582 -1.470 1933 2 0.389 -0.238 0 0 0.240 -0.387 -0.727 -0.230 1933 3 1.667 -0.235 0 0 1.486 -0.415 0.176 -0.602 1933 4 4.167 -0.560 0 0 3.849 -0.878 2.725 -0.878 1933 5 8.556 0.338 0 0 8.023 -0.195 7.011 -0.083 1933 6 10.889 -0.464 0 0 10.259 -1.094 9.131 -1.098 1933 7 11.667 -1.640 0 0 11.146 -2.161 10.628 -1.555 1933 8 13.667 0.520 0 0 13.317 0.171 12.291 0.268 1933 9 9.667 -0.898 0 0 9.410 -1.155 9.051 -0.391 1933 10 4.889 -1.621 0 0 4.684 -1.826 3.550 -1.836 1933 11 4.556 2.086 0 0 4.418 1.948 3.297 1.951 1933 12 -7.556 -7.237 1 0 NaN NaN -8.790 -7.348 1934 1 -0.111 1.877 0 0 -0.237 1.751 -2.448 0.664 1934 2 2.667 2.040 0 0 2.517 1.891 2.992 3.489 1934 3 2.500 0.599 0 0 2.320 0.418 2.011 1.233 1934 4 6.667 1.940 0 0 6.349 1.622 5.007 1.404 1934 5 9.333 1.116 0 0 8.800 0.583 8.042 0.949 1934 6 NaN NaN NaN NaN NaN NaN 9.618 -0.611 1934 7 14.000 0.693 0 0 13.479 0.172 12.626 0.442 1934 8 13.611 0.465 0 0 13.262 0.115 12.672 0.650 1934 9 11.278 0.713 0 0 11.022 0.457 9.811 0.370 1934 10 6.500 -0.010 0 0 6.295 -0.215 5.970 0.584 1934 11 3.778 1.308 0 0 3.640 1.170 2.518 1.173 1934 12 0.556 0.874 0 0 0.453 0.771 -1.113 0.329 1935 1 -2.833 -0.845 0 0 -2.959 -0.971 -5.280 -2.168 1935 2 2.889 2.262 0 0 2.740 2.113 3.125 3.622 1935 3 0.278 -1.623 0 0 0.097 -1.804 -1.257 -2.034 1935 4 4.722 -0.005 0 0 4.405 -0.322 3.751 0.148 1935 5 7.889 -0.329 0 0 7.356 -0.861 6.427 -0.667 1935 6 12.000 0.647 0 0 11.370 0.017 10.125 -0.105 1935 7 13.389 0.082 0 0 12.868 -0.439 11.862 -0.321 1935 8 12.444 -0.702 0 0 12.095 -1.051 11.522 -0.501 1935 9 11.056 0.490 0 0 10.799 0.234 9.957 0.516 1935 10 5.944 -0.566 0 0 5.739 -0.771 4.200 -1.186 1935 11 2.444 -0.025 0 0 2.306 -0.163 0.983 -0.363 1935 12 3.222 3.541 0 0 3.119 3.438 1.443 2.885 1936 1 -0.333 1.655 0 0 -0.459 1.529 -3.530 -0.418 1936 2 -5.667 -6.293 0 0 -5.816 -6.443 -7.135 -6.638 1936 3 1.444 -0.457 0 0 1.264 -0.637 -0.149 -0.927 1936 4 6.000 1.273 0 0 5.682 0.956 4.032 0.429 1936 5 9.722 1.505 0 0 9.189 0.972 7.498 0.405 1936 6 14.944 3.592 0 0 14.314 2.961 13.068 2.839 1936 7 15.056 1.748 0 0 14.535 1.227 13.288 1.104 1936 8 14.889 1.743 0 0 14.539 1.393 13.646 1.623 1936 9 10.611 0.046 0 0 10.355 -0.210 9.560 0.118 1936 10 9.000 2.490 0 0 8.795 2.285 7.967 2.580 1936 11 5.889 3.420 0 0 5.751 3.282 5.114 3.769 1936 12 -0.167 0.152 0 0 -0.269 0.049 -1.693 -0.251 1937 1 -2.222 -0.234 0 0 -2.348 -0.360 -3.737 -0.626 1937 2 -1.222 -1.849 0 0 -1.371 -1.998 -1.523 -1.026 1937 3 3.667 1.765 0 0 3.486 1.585 2.787 2.010 1937 4 5.222 0.495 0 0 4.905 0.178 3.837 0.234 1937 5 8.667 0.449 0 0 8.134 -0.084 7.000 -0.094 1937 6 14.111 2.758 0 0 13.481 2.128 11.550 1.321 1937 7 12.667 -0.640 0 0 12.146 -1.161 11.650 -0.534 1937 8 12.333 -0.813 0 0 11.984 -1.163 11.547 -0.475 1937 9 11.333 0.768 0 0 11.077 0.512 10.407 0.966 1937 10 8.833 2.323 0 0 8.628 2.118 7.573 2.187 1937 11 3.667 1.197 0 0 3.529 1.059 2.058 0.713 1937 12 -0.889 -0.571 0 0 -0.992 -0.673 -2.564 -1.122 1938 1 1.167 3.155 0 0 1.041 3.029 -1.283 1.829 1938 2 -1.333 -1.960 0 0 -1.483 -2.109 -2.388 -1.891 1938 3 2.722 0.821 0 0 2.542 0.641 1.593 0.815 1938 4 6.111 1.384 0 0 5.793 1.067 4.427 0.824 1938 5 8.389 0.171 0 0 7.856 -0.361 7.001 -0.093 1938 6 10.611 -0.742 0 4 11.564 0.211 9.335 -0.894 1938 7 12.556 -0.752 0 0 13.343 0.036 11.276 -0.908 1938 8 12.222 -0.924 0 0 12.751 -0.396 12.035 0.012 1938 9 11.556 0.990 0 0 11.943 1.378 11.188 1.746 1938 10 7.944 1.434 0 0 8.254 1.744 7.461 2.075 1938 11 3.111 0.642 0 0 3.320 0.850 2.327 0.981 1938 12 0.444 0.763 0 0 0.600 0.918 -0.272 1.170 1939 1 1.000 2.988 0 0 1.191 3.179 -0.779 2.333 1939 2 -1.556 -2.182 0 0 -1.330 -1.957 -1.746 -1.249 1939 3 1.111 -0.790 0 0 1.384 -0.517 0.174 -0.604 1939 4 3.611 -1.116 0 0 4.091 -0.635 2.598 -1.005 1939 5 7.167 -1.051 0 0 7.972 -0.245 6.438 -0.656 1939 6 11.278 -0.075 0 0 12.230 0.878 10.232 0.003 1939 7 12.444 -0.863 0 0 13.232 -0.075 11.998 -0.185 1939 8 11.333 -1.813 0 0 11.862 -1.285 11.150 -0.873 1939 9 9.389 -1.176 0 0 9.776 -0.789 9.234 -0.208 1939 10 5.833 -0.677 0 0 6.143 -0.367 4.777 -0.609 1939 11 3.556 1.086 0 0 3.764 1.295 2.505 1.159 1939 12 4.444 4.763 0 0 4.600 4.918 2.715 4.157 1940 1 1.444 3.433 0 0 1.635 3.623 -0.601 2.511 1940 2 0.333 -0.293 0 0 0.559 -0.068 0.696 1.193 1940 3 2.722 0.821 0 0 2.995 1.094 2.064 1.287 1940 4 6.667 1.940 0 0 7.147 2.420 6.046 2.443 1940 5 9.556 1.338 0 0 10.361 2.144 8.205 1.111 1940 6 10.444 -0.908 0 0 11.397 0.044 10.268 0.039 1940 7 13.389 0.082 0 0 14.176 0.869 13.218 1.035 1940 8 11.222 -1.924 0 0 11.751 -1.396 11.860 -0.163 1940 9 10.722 0.157 0 0 11.109 0.544 10.514 1.072 1940 10 7.444 0.934 0 0 7.754 1.244 6.846 1.460 1940 11 2.556 0.086 0 0 2.764 0.295 0.836 -0.510 1940 12 2.556 2.874 0 0 2.711 3.029 0.915 2.357 1941 1 0.611 2.599 0 0 0.802 2.790 -1.644 1.468 1941 2 0.778 0.151 0 0 1.003 0.377 1.189 1.686 1941 3 4.111 2.210 0 0 4.384 2.483 3.659 2.881 1941 4 6.000 1.273 0 0 6.480 1.753 5.924 2.321 1941 5 8.833 0.616 0 0 9.639 1.421 8.018 0.925 1941 6 11.556 0.203 0 0 12.508 1.155 11.405 1.175 1941 7 13.000 -0.307 0 0 13.788 0.480 12.818 0.635 1941 8 12.889 -0.257 0 0 13.417 0.271 13.512 1.489 1941 9 8.556 -2.010 0 0 8.943 -1.622 9.753 0.312 1941 10 6.778 0.268 0 0 7.088 0.577 6.142 0.756 1941 11 NaN NaN NaN NaN NaN NaN 1.412 0.067 1941 12 -1.000 -0.682 0 0 -0.845 -0.526 -1.758 -0.316 1942 1 2.667 4.655 0 0 2.857 4.845 1.224 4.336 1942 2 2.921 2.294 1 0 NaN NaN 2.619 3.116 1942 3 NaN NaN NaN NaN NaN NaN 1.299 0.522 1942 4 NaN NaN NaN NaN NaN NaN 4.659 1.056 1942 5 NaN NaN NaN NaN NaN NaN 9.698 2.604 1942 6 NaN NaN NaN NaN NaN NaN 11.134 0.904 1942 7 NaN NaN NaN NaN NaN NaN 12.950 0.767 1942 8 NaN NaN NaN NaN NaN NaN 12.891 0.869 1942 9 NaN NaN NaN NaN NaN NaN 10.903 1.461 1942 10 NaN NaN NaN NaN NaN NaN 6.584 1.198 1942 11 NaN NaN NaN NaN NaN NaN -0.602 -1.947 1942 12 NaN NaN NaN NaN NaN NaN -3.629 -2.187 1943 1 NaN NaN NaN NaN NaN NaN -5.678 -2.566 1943 2 NaN NaN NaN NaN NaN NaN 0.019 0.516