% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37705 % Primary Name: ALLEGANY % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.10000 +/- 0.00005 % Longitude: -78.56670 +/- 0.00005 % Elevation (m): 439.22 +/- 0.15 % # of Months: 112 % % Alternate Names: Missing Station ID - 300090 % % IDs: coop - 300090 % ghcnd - USC00300090 % ncdc - 12010066 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: cf06388f1e169328a5508a13dcd6c3b4 % Raw Data Hash: 1238007a8b01498bc055c637d14ee0a4 % Adj Data Hash: 09af03345dc87f9f7d18820c35d5cb6c % % 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 1906 2 NaN NaN NaN NaN NaN NaN -5.360 -0.723 1906 3 NaN NaN NaN NaN NaN NaN -3.003 -3.327 1906 4 NaN NaN NaN NaN NaN NaN 7.145 0.229 1906 5 NaN NaN NaN NaN NaN NaN 12.437 -0.573 1906 6 NaN NaN NaN NaN NaN NaN 18.846 0.431 1906 7 NaN NaN NaN NaN NaN NaN 20.530 -0.392 1906 8 NaN NaN NaN NaN NaN NaN 21.510 1.508 1906 9 NaN NaN NaN NaN NaN NaN 18.031 1.948 1906 10 NaN NaN NaN NaN NaN NaN 9.484 -0.422 1906 11 NaN NaN NaN NaN NaN NaN 3.274 -0.588 1906 12 NaN NaN NaN NaN NaN NaN -4.529 -1.890 1907 1 NaN NaN NaN NaN NaN NaN -5.066 0.336 1907 2 -7.273 -2.906 0 0 -7.273 -2.906 -8.164 -3.527 1907 3 3.554 2.959 0 0 3.554 2.959 2.196 1.872 1907 4 4.358 -2.828 0 0 4.358 -2.828 3.886 -3.030 1907 5 9.945 -3.335 0 0 9.945 -3.335 9.382 -3.628 1907 6 16.127 -2.559 0 0 16.127 -2.559 16.637 -1.779 1907 7 20.034 -1.158 0 0 20.034 -1.158 20.209 -0.712 1907 8 17.686 -2.586 0 0 17.686 -2.586 18.198 -1.803 1907 9 17.084 0.730 0 0 17.084 0.730 16.553 0.470 1907 10 7.576 -2.601 0 0 7.576 -2.601 7.472 -2.434 1907 11 2.618 -1.514 0 0 2.618 -1.514 2.938 -0.923 1907 12 -0.598 1.770 0 0 -0.598 1.770 -1.931 0.707 1908 1 -4.199 0.933 0 0 -4.199 0.933 -5.101 0.301 1908 2 -6.629 -2.263 0 0 -6.629 -2.263 -7.400 -2.763 1908 3 2.435 1.841 0 0 2.435 1.841 1.049 0.726 1908 4 7.505 0.319 0 0 7.505 0.319 6.545 -0.371 1908 5 14.901 1.621 0 0 14.901 1.621 13.817 0.807 1908 6 17.855 -0.831 0 0 17.855 -0.831 19.063 0.648 1908 7 20.819 -0.373 0 0 20.819 -0.373 21.341 0.419 1908 8 18.369 -1.902 0 0 18.369 -1.902 18.933 -1.068 1908 9 16.914 0.561 0 0 16.914 0.561 17.822 1.739 1908 10 10.408 0.232 0 0 10.408 0.232 10.927 1.021 1908 11 3.970 -0.162 0 0 3.970 -0.162 4.224 0.362 1908 12 -1.742 0.626 0 0 -1.742 0.626 -3.050 -0.412 1909 1 -2.077 3.055 0 0 -2.077 3.055 -3.424 1.978 1909 2 -1.130 3.236 0 0 -1.130 3.236 -2.673 1.964 1909 3 -0.976 -1.570 0 0 -0.976 -1.570 -1.044 -1.368 1909 4 6.717 -0.469 0 0 6.717 -0.469 6.229 -0.686 1909 5 13.481 0.200 0 0 13.481 0.200 12.136 -0.874 1909 6 18.478 -0.207 0 0 18.478 -0.207 18.525 0.110 1909 7 18.589 -2.603 0 0 18.589 -2.603 19.884 -1.037 1909 8 18.776 -1.496 0 0 18.776 -1.496 19.495 -0.506 1909 9 15.528 -0.825 0 0 15.528 -0.825 15.570 -0.513 1909 10 7.456 -2.720 0 0 7.456 -2.720 7.450 -2.456 1909 11 6.220 2.088 0 0 6.220 2.088 6.485 2.624 1909 12 -3.800 -1.432 0 0 -3.800 -1.432 -4.893 -2.255 1910 1 -4.839 0.293 0 0 -4.839 0.293 -5.110 0.292 1910 2 -5.668 -1.301 0 0 -5.668 -1.301 -6.869 -2.231 1910 3 5.527 4.933 0 0 5.527 4.933 4.551 4.227 1910 4 9.553 2.367 0 0 9.553 2.367 9.005 2.090 1910 5 11.452 -1.829 0 0 11.452 -1.829 11.278 -1.732 1910 6 16.398 -2.287 0 0 16.398 -2.287 17.237 -1.178 1910 7 19.916 -1.276 0 0 19.916 -1.276 21.120 0.199 1910 8 18.911 -1.361 0 0 18.911 -1.361 19.533 -0.468 1910 9 16.435 0.081 0 0 16.435 0.081 15.915 -0.168 1910 10 11.169 0.993 0 0 11.169 0.993 10.792 0.886 1910 11 0.758 -3.374 0 0 0.758 -3.374 1.615 -2.247 1910 12 -5.989 -3.621 0 0 -5.989 -3.621 -6.985 -4.346 1911 1 -1.426 3.706 0 0 -1.426 3.706 -3.619 1.783 1911 2 -2.143 2.224 0 0 -2.143 2.224 -4.075 0.562 1911 3 -0.984 -1.578 0 0 -0.984 -1.578 -1.059 -1.383 1911 4 6.020 -1.166 0 0 6.020 -1.166 6.238 -0.678 1911 5 15.545 2.265 0 0 15.545 2.265 16.241 3.231 1911 6 18.313 -0.372 0 0 18.313 -0.372 18.658 0.242 1911 7 20.952 -0.240 0 0 20.952 -0.240 21.882 0.961 1911 8 19.873 -0.399 0 0 19.873 -0.399 20.177 0.176 1911 9 15.900 -0.454 1 0 NaN NaN 16.049 -0.034 1911 10 9.556 -0.620 0 0 9.556 -0.620 9.325 -0.581 1911 11 1.585 -2.547 0 0 1.585 -2.547 1.917 -1.944 1911 12 1.411 3.779 0 0 1.411 3.779 0.021 2.660 1912 1 -9.889 -4.757 0 0 -9.889 -4.757 -10.642 -5.240 1912 2 -7.407 -3.040 0 0 -7.407 -3.040 -8.120 -3.483 1912 3 -2.118 -2.712 0 0 -2.118 -2.712 -3.068 -3.391 1912 4 7.737 0.551 0 0 7.737 0.551 6.786 -0.130 1912 5 14.171 0.890 0 0 14.171 0.890 13.622 0.611 1912 6 16.060 -2.626 0 0 16.060 -2.626 16.662 -1.753 1912 7 19.930 -1.262 0 0 19.930 -1.262 20.719 -0.203 1912 8 17.792 -2.480 0 0 17.792 -2.480 17.698 -2.303 1912 9 17.380 1.026 0 0 17.380 1.026 17.368 1.285 1912 10 10.741 0.565 0 0 10.741 0.565 10.682 0.776 1912 11 5.188 1.056 0 0 5.188 1.056 5.014 1.152 1912 12 0.411 2.779 0 0 0.411 2.779 -0.726 1.913 1913 1 1.845 6.977 0 0 1.845 6.977 -0.463 4.939 1913 2 -4.514 -0.147 0 0 -4.514 -0.147 -6.450 -1.813 1913 3 3.150 2.556 0 0 3.150 2.556 1.835 1.511 1913 4 8.415 1.229 0 0 8.415 1.229 8.003 1.087 1913 5 12.532 -0.748 0 0 12.532 -0.748 12.255 -0.755 1913 6 17.195 -1.491 0 0 17.195 -1.491 17.822 -0.594 1913 7 19.729 -1.463 0 0 19.729 -1.463 20.541 -0.380 1913 8 19.003 -1.269 0 0 19.003 -1.269 19.636 -0.365 1913 9 15.633 -0.720 0 0 15.633 -0.720 15.246 -0.837 1913 10 10.868 0.691 0 0 10.868 0.691 11.002 1.096 1913 11 6.528 2.395 0 0 6.528 2.395 6.096 2.234 1913 12 -0.356 2.012 0 0 -0.356 2.012 -1.053 1.586 1914 1 -2.547 2.585 0 0 -2.547 2.585 -4.138 1.264 1914 2 -8.370 -4.003 0 0 -8.370 -4.003 -9.630 -4.993 1914 3 -0.490 -1.084 0 0 -0.490 -1.084 -1.092 -1.416 1914 4 6.194 -0.992 0 0 6.194 -0.992 5.591 -1.324 1914 5 13.753 0.473 0 0 13.753 0.473 13.792 0.782 1914 6 17.848 -0.837 0 0 17.848 -0.837 18.009 -0.406 1914 7 20.281 -0.911 0 0 20.281 -0.911 20.713 -0.208 1914 8 19.831 -0.441 0 0 19.831 -0.441 19.903 -0.098 1914 9 14.285 -2.069 0 0 14.285 -2.069 15.161 -0.923 1914 10 10.971 0.795 0 0 10.971 0.795 11.665 1.759 1914 11 3.400 -0.732 0 0 3.400 -0.732 3.568 -0.293 1914 12 -3.719 -1.351 0 0 -3.719 -1.351 -5.010 -2.371 1915 1 -4.523 0.609 0 0 -4.523 0.609 -5.390 0.012 1915 2 -0.995 3.371 0 0 -0.995 3.371 -2.964 1.673 1915 3 -2.544 -3.138 0 0 -2.544 -3.138 -2.105 -2.428 1915 4 9.553 2.367 0 0 9.553 2.367 9.919 3.003 1915 5 10.987 -2.294 0 0 10.987 -2.294 10.551 -2.459 1915 6 16.243 -2.442 0 0 16.243 -2.442 16.988 -1.428 1915 7 19.308 -1.884 0 0 19.308 -1.884 19.740 -1.181 1915 8 18.395 -1.877 0 0 18.395 -1.877 18.462 -1.539 1915 9 17.497 1.143 0 0 17.497 1.143 17.512 1.429 1915 10 NaN NaN NaN NaN NaN NaN 10.581 0.675 1915 11 4.190 0.058 0 0 4.190 0.058 4.719 0.857 1915 12 -3.106 -0.737 0 0 -3.106 -0.737 -3.887 -1.249 1916 1 -0.239 4.893 0 0 -0.239 4.893 -1.551 3.851 1916 2 -7.029 -2.663 0 0 -7.029 -2.663 -8.109 -3.472 1916 3 -4.213 -4.807 0 0 -4.213 -4.807 -4.248 -4.572 1916 4 7.043 -0.143 0 0 7.043 -0.143 6.979 0.064 1916 5 13.103 -0.177 0 0 13.103 -0.177 12.779 -0.231 1916 6 15.151 -3.535 0 0 15.151 -3.535 16.107 -2.309 1916 7 NaN NaN NaN NaN NaN NaN 23.065 2.143 1916 8 NaN NaN NaN NaN NaN NaN 21.148 1.147 1916 9 NaN NaN NaN NaN NaN NaN 15.862 -0.221 1916 10 NaN NaN NaN NaN NaN NaN 9.854 -0.052 1916 11 NaN NaN NaN NaN NaN NaN 3.518 -0.344 1916 12 NaN NaN NaN NaN NaN NaN -3.906 -1.268 1917 1 NaN NaN NaN NaN NaN NaN -6.079 -0.677 1917 2 NaN NaN NaN NaN NaN NaN -8.438 -3.801 1917 3 NaN NaN NaN NaN NaN NaN 0.599 0.275 1917 4 NaN NaN NaN NaN NaN NaN 5.852 -1.064 1917 5 NaN NaN NaN NaN NaN NaN 8.586 -4.425 1917 6 NaN NaN NaN NaN NaN NaN 16.427 -1.988