% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38035 % Primary Name: CANEADEA DAM % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.38330 +/- 0.00005 % Longitude: -78.18330 +/- 0.00005 % Elevation (m): 451.10 +/- 0.15 % # of Months: 132 % % Alternate Names: Missing Station ID - 301170 % % IDs: coop - 301170 % ghcnd - USC00301170 % ncdc - 12010077 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: c024c523084a91cb10b90c5aca67e130 % Raw Data Hash: ac1aa9c905f520a202e234ffef6fedf9 % Adj Data Hash: a12f6325280102db2541c6f92b30cc9f % % 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 1928 6 NaN NaN NaN NaN NaN NaN 16.499 -1.916 1928 7 NaN NaN NaN NaN NaN NaN 20.797 -0.125 1928 8 NaN NaN NaN NaN NaN NaN 21.033 1.032 1928 9 NaN NaN NaN NaN NaN NaN 14.150 -1.933 1928 10 NaN NaN NaN NaN NaN NaN 10.944 1.038 1928 11 NaN NaN NaN NaN NaN NaN 4.949 1.088 1928 12 NaN NaN NaN NaN NaN NaN -0.960 1.679 1929 1 NaN NaN NaN NaN NaN NaN -6.019 -0.617 1929 2 NaN NaN NaN NaN NaN NaN -6.218 -1.581 1929 3 NaN NaN NaN NaN NaN NaN 3.725 3.401 1929 4 NaN NaN NaN NaN NaN NaN 7.821 0.905 1929 5 NaN NaN NaN NaN NaN NaN 11.614 -1.397 1929 6 16.514 -1.108 1 0 NaN NaN 17.375 -1.040 1929 7 18.921 -1.207 0 0 19.130 -0.998 20.312 -0.610 1929 8 16.663 -2.545 0 0 16.834 -2.374 17.764 -2.237 1929 9 16.023 0.733 0 0 16.247 0.958 16.886 0.803 1929 10 8.271 -0.842 0 0 8.510 -0.603 8.754 -1.152 1929 11 2.397 -0.672 0 0 2.487 -0.582 3.155 -0.706 1929 12 -3.303 0.129 0 0 -3.352 0.080 -3.874 -1.235 1930 1 NaN NaN NaN NaN NaN NaN -5.288 0.114 1930 2 -2.450 2.981 0 0 -2.242 3.188 -2.412 2.226 1930 3 -1.892 -1.422 0 0 -1.636 -1.166 -0.632 -0.956 1930 4 5.560 -0.562 0 0 5.764 -0.358 6.249 -0.666 1930 5 12.744 0.527 0 0 12.955 0.738 13.454 0.443 1930 6 17.453 -0.169 0 0 17.701 0.079 19.009 0.593 1930 7 19.193 -0.936 0 0 19.401 -0.727 20.580 -0.342 1930 8 17.987 -1.221 0 0 18.158 -1.050 19.494 -0.508 1930 9 16.463 1.174 0 0 16.688 1.398 17.408 1.325 1930 10 7.873 -1.240 0 0 8.111 -1.002 9.015 -0.891 1930 11 4.295 1.227 0 0 4.385 1.317 5.231 1.369 1930 12 -3.529 -0.097 0 0 -3.578 -0.146 -3.234 -0.596 1931 1 -4.778 1.418 0 0 -4.749 1.446 -4.398 1.004 1931 2 -4.056 1.375 0 0 -3.848 1.583 -3.463 1.174 1931 3 -1.333 -0.864 0 0 -1.077 -0.607 0.315 -0.009 1931 4 5.667 -0.456 0 0 5.871 -0.252 7.072 0.156 1931 5 12.444 0.228 0 0 12.656 0.439 13.177 0.166 1931 6 16.722 -0.900 0 0 16.970 -0.652 18.309 -0.106 1931 7 20.444 0.316 0 0 20.653 0.525 22.363 1.442 1931 8 18.111 -1.097 0 0 18.282 -0.926 20.104 0.103 1931 9 17.222 1.932 0 0 17.447 2.157 18.767 2.683 1931 10 10.611 1.498 0 0 10.850 1.737 11.749 1.843 1931 11 7.667 4.598 0 0 7.757 4.688 8.534 4.673 1931 12 0.333 3.765 0 0 0.284 3.716 0.088 2.726 1932 1 1.833 8.029 0 0 1.862 8.057 1.515 6.917 1932 2 -2.000 3.431 0 0 -1.792 3.638 -1.667 2.970 1932 3 -3.611 -3.142 0 0 -3.355 -2.885 -2.004 -2.328 1932 4 3.944 -2.178 0 0 4.148 -1.974 5.088 -1.827 1932 5 11.889 -0.328 0 0 12.100 -0.117 12.801 -0.209 1932 6 17.000 -0.622 0 0 17.248 -0.374 18.485 0.070 1932 7 18.167 -1.961 0 0 18.376 -1.753 19.604 -1.317 1932 8 18.833 -0.375 0 0 19.004 -0.204 20.123 0.121 1932 9 15.278 -0.012 0 0 15.502 0.213 16.482 0.398 1932 10 10.222 1.110 0 0 10.461 1.348 11.052 1.146 1932 11 1.389 -1.679 0 0 1.479 -1.589 2.537 -1.325 1932 12 -1.500 1.932 0 0 -1.549 1.883 -1.423 1.215 1933 1 0.111 6.306 0 0 0.140 6.335 0.446 5.848 1933 2 -3.389 2.042 0 0 -3.181 2.249 -3.380 1.257 1933 3 -1.722 -1.253 0 0 -1.466 -0.996 -0.316 -0.639 1933 4 7.500 1.378 0 0 7.704 1.582 8.171 1.256 1933 5 13.222 1.005 0 0 13.434 1.217 14.026 1.016 1933 6 18.389 0.767 0 0 18.637 1.015 19.880 1.465 1933 7 19.222 -0.906 0 0 19.431 -0.697 21.764 0.843 1933 8 18.000 -1.208 0 0 18.171 -1.037 19.720 -0.281 1933 9 15.722 0.432 0 0 15.947 0.657 17.203 1.120 1933 10 7.778 -1.335 0 0 8.016 -1.096 8.839 -1.067 1933 11 0.000 -3.068 0 0 0.090 -2.978 0.912 -2.950 1933 12 -3.333 0.099 0 0 -3.382 0.050 -3.687 -1.049 1934 1 -3.889 2.306 0 0 -3.860 2.335 -3.509 1.893 1934 2 -13.444 -8.014 0 0 -13.237 -7.806 -12.323 -7.685 1934 3 -2.111 -1.642 0 0 -1.855 -1.385 -1.464 -1.788 1934 4 5.889 -0.233 0 0 6.093 -0.029 6.364 -0.552 1934 5 13.056 0.839 0 0 13.267 1.050 13.871 0.861 1934 6 19.556 1.934 0 0 19.803 2.181 20.508 2.092 1934 7 20.111 -0.017 0 0 20.320 0.192 21.954 1.033 1934 8 17.000 -2.208 0 0 17.171 -2.037 18.287 -1.715 1934 9 16.500 1.210 0 0 16.725 1.435 17.951 1.868 1934 10 7.833 -1.279 0 0 8.072 -1.041 9.026 -0.880 1934 11 4.444 1.376 0 0 4.535 1.466 5.983 2.122 1934 12 -5.056 -1.624 0 0 -5.105 -1.673 -4.576 -1.938 1935 1 -5.667 0.529 0 0 -5.638 0.557 -5.926 -0.524 1935 2 -6.333 -0.903 0 0 -6.126 -0.695 -5.741 -1.104 1935 3 1.667 2.136 0 4 1.398 1.868 2.576 2.252 1935 4 4.667 -1.456 0 0 4.453 -1.669 5.764 -1.151 1935 5 9.444 -2.772 0 0 9.223 -2.994 9.713 -3.297 1935 6 17.000 -0.622 0 0 16.740 -0.882 17.516 -0.899 1935 7 21.333 1.205 0 0 21.115 0.987 22.749 1.828 1935 8 19.000 -0.208 0 0 18.821 -0.387 20.026 0.025 1935 9 13.889 -1.401 0 0 13.654 -1.636 14.733 -1.351 1935 10 9.611 0.498 0 0 9.361 0.249 9.938 0.032 1935 11 4.333 1.265 0 0 4.239 1.171 4.696 0.834 1935 12 -6.222 -2.790 0 0 -6.171 -2.739 -6.023 -3.385 1936 1 -6.556 -0.360 0 0 -6.585 -0.390 -6.706 -1.304 1936 2 -9.389 -3.958 0 0 -9.606 -4.176 -9.269 -4.632 1936 3 1.444 1.914 0 0 1.176 1.646 1.773 1.449 1936 4 4.333 -1.789 0 0 4.120 -2.003 4.653 -2.263 1936 5 13.667 1.450 0 0 13.445 1.229 14.264 1.254 1936 6 17.778 0.156 0 0 17.518 -0.104 18.488 0.072 1936 7 20.000 -0.128 0 0 19.781 -0.347 21.456 0.534 1936 8 20.222 1.014 0 0 20.043 0.835 20.688 0.686 1936 9 16.667 1.377 0 0 16.431 1.142 17.180 1.097 1936 10 10.222 1.110 0 0 9.973 0.860 10.242 0.336 1936 11 0.667 -2.402 0 0 0.572 -2.496 1.517 -2.345 1936 12 -1.056 2.376 0 0 -1.004 2.428 -1.144 1.495 1937 1 -0.778 5.418 0 0 -0.808 5.388 -1.174 4.228 1937 2 -3.111 2.319 0 0 -3.328 2.102 -3.149 1.488 1937 3 -4.000 -3.530 0 0 -4.268 -3.799 -2.530 -2.853 1937 4 5.556 -0.567 0 0 5.342 -0.780 6.393 -0.523 1937 5 12.833 0.616 0 0 12.612 0.395 13.181 0.171 1937 6 17.444 -0.178 0 0 17.185 -0.437 18.403 -0.012 1937 7 19.778 -0.350 0 0 19.559 -0.569 21.326 0.405 1937 8 20.444 1.236 0 0 20.266 1.058 21.930 1.929 1937 9 13.667 -1.623 0 0 13.431 -1.858 15.138 -0.945 1937 10 7.556 -1.557 0 0 7.306 -1.807 8.296 -1.610 1937 11 3.000 -0.068 0 0 2.906 -0.163 3.757 -0.105 1937 12 -4.222 -0.790 0 0 -4.171 -0.739 -4.256 -1.617 1938 1 -5.222 0.973 0 0 -5.252 0.943 -5.698 -0.296 1938 2 -2.333 3.097 0 0 -2.551 2.880 -2.638 1.999 1938 3 3.222 3.692 0 0 2.954 3.424 3.491 3.167 1938 4 7.889 1.767 0 0 7.675 1.553 8.058 1.143 1938 5 12.111 -0.106 0 0 11.890 -0.327 12.413 -0.597 1938 6 16.833 -0.789 0 0 16.574 -1.048 18.230 -0.185 1938 7 20.167 0.039 0 0 19.948 -0.180 21.496 0.575 1938 8 20.556 1.347 0 0 20.377 1.169 21.733 1.732 1938 9 13.556 -1.734 0 0 13.320 -1.969 14.326 -1.758 1938 10 10.111 0.998 0 0 9.861 0.749 10.740 0.834 1938 11 3.778 0.709 0 0 3.683 0.615 4.934 1.073 1938 12 -2.667 0.765 0 0 -2.615 0.816 -2.434 0.205 1939 1 -5.000 1.195 0 0 -5.030 1.166 -4.684 0.718 1939 2 -3.111 2.319 0 0 -3.328 2.102 -3.736 0.902 1939 3 -1.111 -0.642 0 0 -1.379 -0.910 -0.760 -1.084 1939 4 4.667 -1.456 0 0 4.453 -1.669 5.154 -1.762 1939 5 14.000 1.783 0 0 13.779 1.562 13.947 0.937 1939 6 17.611 -0.011 0 0 17.352 -0.270 18.796 0.381 1939 7 19.333 -0.795 0 0 19.115 -1.013 20.952 0.031 1939 8 20.111 0.903 0 0 19.932 0.724 21.340 1.338 1939 9 16.222 0.932 0 0 15.987 0.697 17.007 0.924 1939 10 9.667 0.554 0 0 9.417 0.304 10.155 0.249 1939 11 1.333 -1.735 0 0 1.239 -1.829 2.390 -1.472 1939 12 -1.889 1.543 0 0 -1.838 1.594 -1.609 1.030 1940 1 -10.667 -4.471 0 0 -10.696 -4.501 -9.473 -4.071 1940 2 -6.389 -0.958 0 0 -6.606 -1.176 -5.329 -0.691 1940 3 -4.056 -3.586 0 0 -4.324 -3.854 -3.329 -3.652 1940 4 3.778 -2.345 0 0 3.564 -2.558 4.862 -2.054 1940 5 12.611 0.394 0 0 12.390 0.173 12.384 -0.626 1940 6 16.889 -0.733 0 0 16.629 -0.993 17.806 -0.609 1940 7 NaN NaN NaN NaN NaN NaN 20.711 -0.210 1940 8 NaN NaN NaN NaN NaN NaN 19.285 -0.716 1940 9 NaN NaN NaN NaN NaN NaN 15.024 -1.059 1940 10 NaN NaN NaN NaN NaN NaN 8.129 -1.777 1940 11 NaN NaN NaN NaN NaN NaN 3.558 -0.303 1940 12 NaN NaN NaN NaN NaN NaN -1.340 1.298 1941 1 NaN NaN NaN NaN NaN NaN -5.478 -0.076 1941 2 NaN NaN NaN NaN NaN NaN -5.908 -1.271 1941 3 NaN NaN NaN NaN NaN NaN -3.096 -3.420 1941 4 NaN NaN NaN NaN NaN NaN 9.709 2.794 1941 5 NaN NaN NaN NaN NaN NaN 13.452 0.442 1941 6 NaN NaN NaN NaN NaN NaN 19.263 0.848