% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36630 % Primary Name: GARNERVILLE % Record Type: TAVG % Country: United States % State: NY % Latitude: 41.21670 +/- 0.00005 % Longitude: -74.00000 +/- 0.00005 % Elevation (m): 56.70 +/- 0.05 % # of Months: 71 % % IDs: coop - 303152 % ghcnd - USC00303152 % ncdc - 20020189 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2ece355f2f2f0aff4cf24e0977d43e90 % Raw Data Hash: f314e1e3d38eeb4bcb4cc096192d9951 % Adj Data Hash: f314e1e3d38eeb4bcb4cc096192d9951 % % 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 1982 8 NaN NaN NaN NaN NaN NaN 20.082 -1.575 1982 9 NaN NaN NaN NaN NaN NaN 17.502 -0.085 1982 10 NaN NaN NaN NaN NaN NaN 11.378 0.070 1982 11 NaN NaN NaN NaN NaN NaN 7.837 2.265 1982 12 NaN NaN NaN NaN NaN NaN 2.512 3.337 1983 1 NaN NaN NaN NaN NaN NaN -2.045 1.128 1983 2 NaN NaN NaN NaN NaN NaN -1.002 1.066 1983 3 NaN NaN NaN NaN NaN NaN 4.733 1.785 1983 4 NaN NaN NaN NaN NaN NaN 8.957 -0.299 1983 5 NaN NaN NaN NaN NaN NaN 13.776 -1.199 1983 6 NaN NaN NaN NaN NaN NaN 20.273 0.367 1983 7 NaN NaN NaN NaN NaN NaN 23.568 1.018 1983 8 23.389 0.728 0 0 23.389 0.728 23.000 1.344 1983 9 19.722 1.131 0 0 19.722 1.131 18.790 1.203 1983 10 12.333 0.021 0 0 12.333 0.021 11.411 0.103 1983 11 6.944 0.368 0 0 6.944 0.368 6.771 1.200 1983 12 -0.278 -0.458 0 0 -0.278 -0.458 -2.098 -1.273 1984 1 -3.667 -1.498 0 0 -3.667 -1.498 -5.083 -1.909 1984 2 2.611 3.674 0 0 2.611 3.674 1.522 3.590 1984 3 1.056 -2.897 0 0 1.056 -2.897 0.195 -2.753 1984 4 9.611 -0.649 0 0 9.611 -0.649 9.072 -0.183 1984 5 14.889 -1.091 0 0 14.889 -1.091 13.985 -0.990 1984 6 22.111 1.200 0 0 22.111 1.200 20.827 0.921 1984 7 22.667 -0.888 0 0 22.667 -0.888 21.830 -0.720 1984 8 23.647 0.985 0 0 23.647 0.985 22.574 0.918 1984 9 17.389 -1.203 0 0 17.389 -1.203 16.233 -1.354 1984 10 14.833 2.521 0 0 14.833 2.521 13.577 2.269 1984 11 6.667 0.090 0 0 6.667 0.090 6.017 0.446 1984 12 3.944 3.765 0 0 3.944 3.765 2.405 3.230 1985 1 -3.611 -1.443 0 0 -3.611 -1.443 -5.156 -1.983 1985 2 0.556 1.619 0 0 0.556 1.619 -1.362 0.706 1985 3 6.056 2.103 0 0 6.056 2.103 4.797 1.849 1985 4 11.882 1.621 0 0 11.882 1.621 10.941 1.685 1985 5 17.222 1.242 0 0 17.222 1.242 16.279 1.304 1985 6 18.944 -1.967 0 0 18.944 -1.967 18.050 -1.856 1985 7 22.778 -0.777 0 0 22.778 -0.777 22.243 -0.307 1985 8 22.111 -0.550 0 0 22.111 -0.550 21.527 -0.129 1985 9 19.056 0.464 0 0 19.056 0.464 18.675 1.088 1985 10 12.833 0.521 0 0 12.833 0.521 11.963 0.656 1985 11 7.833 1.257 0 0 7.833 1.257 7.751 2.179 1985 12 -0.889 -1.069 0 0 -0.889 -1.069 -2.472 -1.647 1986 1 -1.000 1.168 0 0 -1.000 1.168 -2.338 0.835 1986 2 -2.111 -1.048 0 0 -2.111 -1.048 -3.185 -1.117 1986 3 5.111 1.159 0 0 5.111 1.159 4.297 1.350 1986 4 11.111 0.851 0 0 11.111 0.851 10.189 0.933 1986 5 17.483 1.503 0 0 17.483 1.503 16.640 1.665 1986 6 20.222 -0.689 0 0 20.222 -0.689 19.335 -0.571 1986 7 22.833 -0.721 0 0 22.833 -0.721 22.410 -0.139 1986 8 21.278 -1.384 0 0 21.278 -1.384 20.569 -1.087 1986 9 17.722 -0.869 0 0 17.722 -0.869 17.088 -0.499 1986 10 12.500 0.188 0 0 12.500 0.188 11.653 0.346 1986 11 5.667 -0.910 0 0 5.667 -0.910 4.843 -0.729 1986 12 1.944 1.765 0 0 1.944 1.765 0.332 1.157 1987 1 -1.889 0.280 0 0 -1.889 0.280 -3.206 -0.033 1987 2 -1.167 -0.103 0 0 -1.167 -0.103 -2.729 -0.660 1987 3 5.778 1.825 0 0 5.778 1.825 4.883 1.935 1987 4 11.000 0.739 0 0 11.000 0.739 10.462 1.206 1987 5 16.333 0.353 0 0 16.333 0.353 15.288 0.313 1987 6 21.778 0.867 0 0 21.778 0.867 20.762 0.855 1987 7 24.222 0.668 0 0 24.222 0.668 23.540 0.990 1987 8 21.611 -1.050 0 0 21.611 -1.050 20.821 -0.836 1987 9 18.000 -0.591 0 0 18.000 -0.591 17.456 -0.131 1987 10 10.333 -1.979 0 0 10.333 -1.979 9.035 -2.272 1987 11 7.444 0.868 0 0 7.444 0.868 6.598 1.027 1987 12 2.056 1.876 0 0 2.056 1.876 0.827 1.652 1988 1 -3.333 -1.165 0 0 -3.333 -1.165 -5.425 -2.252 1988 2 -0.556 0.508 0 0 -0.556 0.508 -2.069 -0.001 1988 3 4.944 0.992 0 0 4.944 0.992 3.980 1.033 1988 4 9.667 -0.594 0 0 9.667 -0.594 8.876 -0.379 1988 5 15.889 -0.091 0 0 15.889 -0.091 15.102 0.127 1988 6 20.778 -0.133 0 0 20.778 -0.133 19.687 -0.220 1988 7 24.833 1.279 0 0 24.833 1.279 24.241 1.691 1988 8 24.167 1.505 0 0 24.167 1.505 23.474 1.818 1988 9 17.611 -0.980 0 0 17.611 -0.980 16.834 -0.753 1988 10 9.833 -2.479 0 0 9.833 -2.479 8.706 -2.601 1988 11 7.056 0.479 0 0 7.056 0.479 7.057 1.486 1988 12 0.556 0.376 0 0 0.556 0.376 -1.270 -0.445 1989 1 1.278 3.446 0 0 1.278 3.446 -0.488 2.685 1989 2 -0.333 0.730 0 0 -0.333 0.730 -1.807 0.261 1989 3 4.944 0.992 0 0 4.944 0.992 3.288 0.340 1989 4 9.500 -0.761 0 0 9.500 -0.761 8.528 -0.728 1989 5 16.000 0.020 0 0 16.000 0.020 14.750 -0.225 1989 6 21.389 0.478 0 0 21.389 0.478 20.481 0.575 1989 7 NaN NaN NaN NaN NaN NaN 22.175 -0.374 1989 8 NaN NaN NaN NaN NaN NaN 21.297 -0.359 1989 9 NaN NaN NaN NaN NaN NaN 17.943 0.356 1989 10 NaN NaN NaN NaN NaN NaN 11.840 0.532 1989 11 NaN NaN NaN NaN NaN NaN 5.655 0.084 1989 12 NaN NaN NaN NaN NaN NaN -7.334 -6.509 1990 1 NaN NaN NaN NaN NaN NaN 1.524 4.697 1990 2 NaN NaN NaN NaN NaN NaN 1.011 3.079 1990 3 NaN NaN NaN NaN NaN NaN 5.143 2.195 1990 4 NaN NaN NaN NaN NaN NaN 9.924 0.668 1990 5 NaN NaN NaN NaN NaN NaN 13.722 -1.253 1990 6 NaN NaN NaN NaN NaN NaN 19.884 -0.022