% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37614 % Primary Name: WOODHULL % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.03333 +/- 0.00833 % Longitude: -77.48333 +/- 0.00833 % Elevation (m): 556.26 +/- 0.15 % # of Months: 78 % % Alternate Names: Missing Station ID - 309571 % % IDs: coop - 309571 % ncdc - 12010167 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: af04a5d9cdd114f398c6c1187e3cfe35 % Raw Data Hash: 7d6c95375a0db05e6e5afe557a811f12 % Adj Data Hash: a6861f171f79b8c0cd12d2a62e6326f1 % % 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 1932 7 NaN NaN NaN NaN NaN NaN 19.604 -1.317 1932 8 NaN NaN NaN NaN NaN NaN 20.123 0.121 1932 9 NaN NaN NaN NaN NaN NaN 16.482 0.398 1932 10 NaN NaN NaN NaN NaN NaN 11.052 1.146 1932 11 NaN NaN NaN NaN NaN NaN 2.537 -1.325 1932 12 NaN NaN NaN NaN NaN NaN -1.423 1.215 1933 1 NaN NaN NaN NaN NaN NaN 0.446 5.848 1933 2 NaN NaN NaN NaN NaN NaN -3.380 1.257 1933 3 NaN NaN NaN NaN NaN NaN -0.316 -0.639 1933 4 NaN NaN NaN NaN NaN NaN 8.171 1.256 1933 5 NaN NaN NaN NaN NaN NaN 14.026 1.016 1933 6 NaN NaN NaN NaN NaN NaN 19.880 1.465 1933 7 21.500 0.684 0 0 21.623 0.807 21.764 0.843 1933 8 19.111 -0.785 0 0 19.234 -0.662 19.720 -0.281 1933 9 16.833 0.856 0 0 16.956 0.979 17.203 1.120 1933 10 8.111 -1.689 0 0 8.234 -1.566 8.839 -1.067 1933 11 NaN NaN NaN NaN NaN NaN 0.912 -2.950 1933 12 -3.333 -0.589 0 0 -3.210 -0.466 -3.687 -1.049 1934 1 -5.000 0.508 0 0 -4.877 0.631 -3.509 1.893 1934 2 -11.389 -6.646 0 0 -11.266 -6.523 -12.323 -7.685 1934 3 -1.000 -1.218 0 0 -0.877 -1.095 -1.464 -1.788 1934 4 7.000 0.190 0 0 7.123 0.313 6.364 -0.552 1934 5 15.333 2.429 0 0 15.456 2.552 13.871 0.861 1934 6 20.889 2.579 0 0 21.012 2.702 20.508 2.092 1934 7 21.889 1.073 0 0 22.012 1.196 21.954 1.033 1934 8 18.000 -1.896 0 0 18.123 -1.773 18.287 -1.715 1934 9 17.278 1.300 0 0 17.401 1.423 17.951 1.868 1934 10 8.444 -1.356 0 0 8.568 -1.233 9.026 -0.880 1934 11 4.556 0.799 0 0 4.679 0.923 5.983 2.122 1934 12 -4.222 -1.478 0 0 -4.099 -1.355 -4.576 -1.938 1935 1 -5.556 -0.048 0 0 -5.432 0.075 -5.926 -0.524 1935 2 -5.333 -0.591 0 0 -5.210 -0.467 -5.741 -1.104 1935 3 1.889 1.671 0 0 2.012 1.794 2.576 2.252 1935 4 5.056 -1.755 0 0 5.179 -1.631 5.764 -1.151 1935 5 10.278 -2.627 0 0 10.401 -2.504 9.713 -3.297 1935 6 17.056 -1.254 0 0 17.179 -1.131 17.516 -0.899 1935 7 21.944 1.129 0 0 22.068 1.252 22.749 1.828 1935 8 19.111 -0.785 0 0 19.234 -0.662 20.026 0.025 1935 9 14.056 -1.922 0 0 14.179 -1.799 14.733 -1.351 1935 10 9.556 -0.245 0 0 9.679 -0.122 9.938 0.032 1935 11 3.556 -0.201 0 0 3.679 -0.077 4.696 0.834 1935 12 -6.667 -3.923 0 0 -6.544 -3.799 -6.023 -3.385 1936 1 -7.444 -1.937 0 0 -7.321 -1.814 -6.706 -1.304 1936 2 -9.333 -4.591 0 0 -9.210 -4.467 -9.269 -4.632 1936 3 1.778 1.560 0 0 1.901 1.683 1.773 1.449 1936 4 4.667 -2.143 0 0 4.790 -2.020 4.653 -2.263 1936 5 15.667 2.762 0 0 15.790 2.885 14.264 1.254 1936 6 18.333 0.024 0 0 18.456 0.147 18.488 0.072 1936 7 21.611 0.795 0 0 21.734 0.918 21.456 0.534 1936 8 20.778 0.882 0 0 20.901 1.005 20.688 0.686 1936 9 17.111 1.134 0 0 17.234 1.257 17.180 1.097 1936 10 9.778 -0.023 0 0 9.901 0.100 10.242 0.336 1936 11 0.222 -3.534 0 0 0.345 -3.411 1.517 -2.345 1936 12 -1.722 1.022 0 0 -1.599 1.145 -1.144 1.495 1937 1 -1.167 4.341 0 0 -1.044 4.464 -1.174 4.228 1937 2 -3.278 1.465 0 0 -3.155 1.588 -3.149 1.488 1937 3 NaN NaN NaN NaN NaN NaN -2.530 -2.853 1937 4 NaN NaN NaN NaN NaN NaN 6.393 -0.523 1937 5 NaN NaN NaN NaN NaN NaN 13.181 0.171 1937 6 NaN NaN NaN NaN NaN NaN 18.403 -0.012 1937 7 NaN NaN NaN NaN NaN NaN 21.326 0.405 1937 8 NaN NaN NaN NaN NaN NaN 21.930 1.929 1937 9 NaN NaN NaN NaN NaN NaN 15.138 -0.945 1937 10 NaN NaN NaN NaN NaN NaN 8.296 -1.610 1937 11 NaN NaN NaN NaN NaN NaN 3.757 -0.105 1937 12 NaN NaN NaN NaN NaN NaN -4.256 -1.617 1938 1 NaN NaN NaN NaN NaN NaN -5.698 -0.296 1938 2 NaN NaN NaN NaN NaN NaN -2.638 1.999 1938 3 NaN NaN NaN NaN NaN NaN 3.491 3.167 1938 4 NaN NaN NaN NaN NaN NaN 8.058 1.143 1938 5 NaN NaN NaN NaN NaN NaN 12.413 -0.597 1938 6 NaN NaN NaN NaN NaN NaN 18.230 -0.185 1938 7 NaN NaN NaN NaN NaN NaN 21.496 0.575 1938 8 NaN NaN NaN NaN NaN NaN 21.733 1.732 1938 9 NaN NaN NaN NaN NaN NaN 14.326 -1.758 1938 10 NaN NaN NaN NaN NaN NaN 10.740 0.834 1938 11 NaN NaN NaN NaN NaN NaN 4.934 1.073 1938 12 NaN NaN NaN NaN NaN NaN -2.434 0.205 1939 1 NaN NaN NaN NaN NaN NaN -4.684 0.718 1939 2 NaN NaN NaN NaN NaN NaN -3.736 0.902 1939 3 NaN NaN NaN NaN NaN NaN -0.760 -1.084 1939 4 5.111 -1.699 0 2 4.960 -1.850 5.154 -1.762 1939 5 15.222 2.318 0 0 15.071 2.166 13.947 0.937 1939 6 18.333 0.024 0 0 18.182 -0.128 18.796 0.381 1939 7 20.722 -0.094 0 0 20.571 -0.245 20.952 0.031 1939 8 22.111 2.215 0 0 21.960 2.064 21.340 1.338 1939 9 17.389 1.411 0 0 17.238 1.260 17.007 0.924 1939 10 10.111 0.311 0 0 9.960 0.159 10.155 0.249 1939 11 1.444 -2.312 0 0 1.293 -2.463 2.390 -1.472 1939 12 -1.778 0.966 0 0 -1.929 0.815 -1.609 1.030 1940 1 -9.611 -4.104 0 0 -9.762 -4.255 -9.473 -4.071 1940 2 -5.056 -0.313 0 0 -5.207 -0.464 -5.329 -0.691 1940 3 -4.000 -4.218 0 0 -4.151 -4.369 -3.329 -3.652 1940 4 4.333 -2.477 0 0 4.182 -2.628 4.862 -2.054 1940 5 13.222 0.318 0 0 13.071 0.166 12.384 -0.626 1940 6 18.000 -0.310 0 0 17.849 -0.461 17.806 -0.609 1940 7 20.556 -0.260 0 0 20.404 -0.412 20.711 -0.210 1940 8 18.000 -1.896 0 0 17.849 -2.047 19.285 -0.716 1940 9 14.611 -1.366 0 0 14.460 -1.518 15.024 -1.059 1940 10 7.889 -1.912 0 0 7.738 -2.063 8.129 -1.777 1940 11 2.278 -1.478 0 0 2.127 -1.630 3.558 -0.303 1940 12 -0.889 1.855 0 0 -1.040 1.704 -1.340 1.298 1941 1 -5.556 -0.048 0 0 -5.707 -0.199 -5.478 -0.076 1941 2 -5.444 -0.702 0 0 -5.596 -0.853 -5.908 -1.271 1941 3 -3.556 -3.774 0 0 -3.707 -3.925 -3.096 -3.420 1941 4 10.056 3.245 0 0 9.904 3.094 9.709 2.794 1941 5 14.278 1.373 0 0 14.127 1.222 13.452 0.442 1941 6 18.667 0.357 0 0 18.515 0.206 19.263 0.848 1941 7 21.333 0.517 0 0 21.182 0.366 21.857 0.935 1941 8 18.111 -1.785 0 0 17.960 -1.936 18.752 -1.250 1941 9 16.944 0.967 0 0 16.793 0.816 17.473 1.390 1941 10 12.333 2.533 0 0 12.182 2.382 11.339 1.433 1941 11 5.333 1.577 0 0 5.182 1.426 5.840 1.978 1941 12 0.056 2.800 0 0 -0.096 2.648 -0.875 1.763 1942 1 -4.833 0.674 0 0 -4.985 0.523 -5.426 -0.024 1942 2 -5.111 -0.368 0 0 -5.262 -0.520 -7.281 -2.644 1942 3 NaN NaN NaN NaN NaN NaN 1.855 1.532 1942 4 NaN NaN NaN NaN NaN NaN 9.642 2.727 1942 5 NaN NaN NaN NaN NaN NaN 14.311 1.301 1942 6 NaN NaN NaN NaN NaN NaN 18.714 0.298 1942 7 NaN NaN NaN NaN NaN NaN 20.480 -0.441 1942 8 NaN NaN NaN NaN NaN NaN 19.514 -0.487 1942 9 NaN NaN NaN NaN NaN NaN 16.104 0.020 1942 10 NaN NaN NaN NaN NaN NaN 10.621 0.715 1942 11 NaN NaN NaN NaN NaN NaN 4.241 0.380 1942 12 NaN NaN NaN NaN NaN NaN -5.328 -2.689 1943 1 NaN NaN NaN NaN NaN NaN -6.869 -1.467 1943 2 NaN NaN NaN NaN NaN NaN -4.140 0.497