% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38410 % Primary Name: SOUTH EDMESTON % Record Type: TAVG % Country: United States % State: NY % Latitude: 42.68330 +/- 0.00005 % Longitude: -75.31670 +/- 0.00005 % Elevation (m): 404.47 +/- 0.15 % # of Months: 51 % % Alternate Names: Missing Station ID - 307940 % % IDs: coop - 307940 % ghcnd - USC00307940 % ncdc - 12010149 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 9fd2e1bc4be8d55e08546d335972623e % Raw Data Hash: 457d180a17a967fde455ecfc8a4da2dc % Adj Data Hash: 2afc24f0b398de47149d5bb743f6c4b1 % % 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 1910 12 NaN NaN NaN NaN NaN NaN -7.427 -4.711 1911 1 NaN NaN NaN NaN NaN NaN -3.811 1.674 1911 2 NaN NaN NaN NaN NaN NaN -4.824 -0.006 1911 3 NaN NaN NaN NaN NaN NaN -1.806 -2.080 1911 4 NaN NaN NaN NaN NaN NaN 6.100 -0.909 1911 5 NaN NaN NaN NaN NaN NaN 16.825 3.703 1911 6 NaN NaN NaN NaN NaN NaN 17.780 -0.522 1911 7 NaN NaN NaN NaN NaN NaN 21.947 1.119 1911 8 NaN NaN NaN NaN NaN NaN 19.906 0.033 1911 9 NaN NaN NaN NaN NaN NaN 15.490 -0.437 1911 10 NaN NaN NaN NaN NaN NaN 9.219 -0.555 1911 11 NaN NaN NaN NaN NaN NaN 2.111 -1.809 1911 12 -0.055 3.503 0 0 -0.055 3.503 0.178 2.894 1912 1 -10.563 -4.236 0 0 -10.563 -4.236 -10.192 -4.707 1912 2 -8.098 -2.438 0 0 -8.098 -2.438 -7.685 -2.867 1912 3 -3.945 -3.377 0 0 -3.945 -3.377 -2.876 -3.150 1912 4 6.282 0.115 0 0 6.282 0.115 6.661 -0.347 1912 5 13.915 1.635 0 0 13.915 1.635 13.903 0.781 1912 6 15.603 -1.857 0 0 15.603 -1.857 16.303 -1.999 1912 7 19.861 -0.124 0 0 19.861 -0.124 20.741 -0.087 1912 8 16.685 -2.345 0 0 16.685 -2.345 17.437 -2.436 1912 9 15.830 0.744 0 0 15.830 0.744 16.427 0.500 1912 10 9.595 0.663 0 0 9.595 0.663 10.646 0.872 1912 11 3.611 0.533 0 0 3.611 0.533 5.221 1.302 1912 12 -0.831 2.727 0 0 -0.831 2.727 -0.534 2.182 1913 1 -0.212 6.115 0 0 -0.212 6.115 -0.043 5.442 1913 2 -7.200 -1.540 0 0 -7.200 -1.540 -6.572 -1.754 1913 3 2.466 3.034 0 0 2.466 3.034 2.515 2.241 1913 4 7.988 1.822 0 0 7.988 1.822 8.608 1.599 1913 5 11.648 -0.631 0 0 11.648 -0.631 12.092 -1.030 1913 6 16.668 -0.792 0 0 16.668 -0.792 17.493 -0.809 1913 7 19.677 -0.308 0 0 19.677 -0.308 20.556 -0.271 1913 8 19.066 0.035 0 0 19.066 0.035 19.760 -0.112 1913 9 15.044 -0.042 0 0 15.044 -0.042 15.297 -0.631 1913 10 11.269 2.337 0 0 11.269 2.337 11.255 1.481 1913 11 5.148 2.071 0 0 5.148 2.071 6.214 2.295 1913 12 -2.076 1.482 0 0 -2.076 1.482 -1.231 1.484 1914 1 -6.745 -0.418 0 0 -6.745 -0.418 -5.135 0.350 1914 2 -11.409 -5.749 0 0 -11.409 -5.749 -10.049 -5.231 1914 3 -2.756 -2.188 0 0 -2.756 -2.188 -1.337 -1.610 1914 4 4.455 -1.712 0 0 4.455 -1.712 5.427 -1.581 1914 5 13.340 1.061 0 0 13.340 1.061 14.061 0.940 1914 6 16.363 -1.097 0 0 16.363 -1.097 17.623 -0.679 1914 7 18.632 -1.354 0 0 18.632 -1.354 20.098 -0.729 1914 8 18.579 -0.451 0 0 18.579 -0.451 19.636 -0.236 1914 9 13.653 -1.432 0 0 13.653 -1.432 14.755 -1.173 1914 10 11.035 2.103 0 0 11.035 2.103 11.581 1.807 1914 11 1.228 -1.849 0 0 1.228 -1.849 3.240 -0.679 1914 12 -6.502 -2.944 0 0 -6.502 -2.944 -5.130 -2.414 1915 1 -5.137 1.190 0 0 -5.137 1.190 -4.482 1.003 1915 2 -3.452 2.208 0 0 -3.452 2.208 -2.772 2.046 1915 3 -4.318 -3.749 0 0 -4.318 -3.749 -2.310 -2.584 1915 4 7.938 1.772 0 0 7.938 1.772 9.866 2.858 1915 5 8.408 -3.872 1 0 NaN NaN 10.221 -2.900 1915 6 15.507 -1.953 0 0 15.507 -1.953 16.768 -1.534 1915 7 19.098 -0.887 0 0 19.098 -0.887 19.682 -1.145 1915 8 17.739 -1.292 0 0 17.739 -1.292 18.155 -1.717 1915 9 16.885 1.800 0 0 16.885 1.800 17.510 1.582 1915 10 9.635 0.703 0 0 9.635 0.703 10.242 0.468 1915 11 3.132 0.054 0 0 3.132 0.054 4.563 0.643 1915 12 -4.813 -1.255 0 0 -4.813 -1.255 -4.005 -1.289 1916 1 -2.569 3.758 0 0 -2.569 3.758 -2.004 3.481 1916 2 -8.009 -2.349 1 0 NaN NaN -7.894 -3.076 1916 3 NaN NaN NaN NaN NaN NaN -4.468 -4.742 1916 4 NaN NaN NaN NaN NaN NaN 6.829 -0.180 1916 5 NaN NaN NaN NaN NaN NaN 13.086 -0.036 1916 6 NaN NaN NaN NaN NaN NaN 15.573 -2.729 1916 7 NaN NaN NaN NaN NaN NaN 22.643 1.816 1916 8 NaN NaN NaN NaN NaN NaN 20.698 0.825 1916 9 NaN NaN NaN NaN NaN NaN 15.952 0.025 1916 10 NaN NaN NaN NaN NaN NaN 9.840 0.066 1916 11 NaN NaN NaN NaN NaN NaN 3.638 -0.281 1916 12 NaN NaN NaN NaN NaN NaN -3.684 -0.968 1917 1 NaN NaN NaN NaN NaN NaN -5.496 -0.011 1917 2 NaN NaN NaN NaN NaN NaN -8.087 -3.269