% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38896 % Primary Name: LEWISTON 3 SE % Record Type: TAVG % Country: United States % State: NY % Latitude: 43.13330 +/- 0.00005 % Longitude: -78.96670 +/- 0.00005 % Elevation (m): 192.00 +/- 0.05 % # of Months: 78 % % IDs: coop - 304717 % ghcnd - USC00304717 % ncdc - 20020211 % nws - LWTN6 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9a2487cf88300bc1a3fc77c502b8c9f8 % Raw Data Hash: 78e4d4a0b236b88af4ff0804de0ef2dd % Adj Data Hash: 49efc8579b8c4582f10d11b71c99d1c8 % % 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 1986 11 NaN NaN NaN NaN NaN NaN 3.144 -0.718 1986 12 NaN NaN NaN NaN NaN NaN -1.224 1.415 1987 1 NaN NaN NaN NaN NaN NaN -4.634 0.768 1987 2 NaN NaN NaN NaN NaN NaN -5.111 -0.474 1987 3 NaN NaN NaN NaN NaN NaN 2.776 2.453 1987 4 NaN NaN NaN NaN NaN NaN 9.426 2.510 1987 5 NaN NaN NaN NaN NaN NaN 14.672 1.662 1987 6 NaN NaN NaN NaN NaN NaN 19.831 1.415 1987 7 NaN NaN NaN NaN NaN NaN 22.549 1.627 1987 8 NaN NaN NaN NaN NaN NaN 19.410 -0.592 1987 9 NaN NaN NaN NaN NaN NaN 16.308 0.225 1987 10 NaN NaN NaN NaN NaN NaN 7.955 -1.951 1987 11 5.889 1.041 0 0 5.889 1.041 5.304 1.442 1987 12 2.683 4.335 0 0 2.683 4.335 -0.365 2.274 1988 1 -1.405 3.011 0 0 -1.405 3.011 -5.208 0.194 1988 2 -3.833 -0.183 0 0 -3.833 -0.183 -5.202 -0.565 1988 3 1.833 0.523 0 0 1.833 0.523 1.207 0.883 1988 4 8.450 0.548 0 0 8.450 0.548 7.101 0.186 1988 5 15.556 1.559 0 0 15.556 1.559 13.864 0.853 1988 6 18.820 -0.582 0 0 18.820 -0.582 17.614 -0.801 1988 7 24.000 2.092 0 0 24.000 2.092 22.722 1.801 1988 8 22.833 1.846 0 0 22.833 1.846 21.434 1.433 1988 9 17.278 0.208 0 0 17.278 0.208 15.590 -0.493 1988 10 9.000 -1.892 0 0 9.000 -1.892 7.510 -2.396 1988 11 5.944 1.096 0 0 5.944 1.096 5.777 1.915 1988 12 -1.333 0.319 0 0 -1.333 0.319 -2.780 -0.142 1989 1 -0.027 4.388 0 0 -0.027 4.388 -1.860 3.542 1989 2 -3.770 -0.119 0 0 -3.770 -0.119 -5.581 -0.944 1989 3 0.444 -0.866 0 0 0.444 -0.866 0.569 0.245 1989 4 6.444 -1.458 0 0 6.444 -1.458 5.669 -1.247 1989 5 13.833 -0.163 0 0 13.833 -0.163 12.323 -0.687 1989 6 19.722 0.321 0 0 19.722 0.321 18.855 0.440 1989 7 22.500 0.592 0 0 22.500 0.592 21.391 0.470 1989 8 20.722 -0.266 0 0 20.722 -0.266 19.654 -0.348 1989 9 17.599 0.529 0 0 17.599 0.529 15.982 -0.101 1989 10 11.889 0.997 0 0 11.889 0.997 10.571 0.665 1989 11 3.000 -1.848 0 0 3.000 -1.848 3.598 -0.263 1989 12 -7.556 -5.903 0 0 -7.556 -5.903 -9.274 -6.636 1990 1 0.611 5.027 0 0 0.611 5.027 -0.196 5.206 1990 2 -1.111 2.540 0 0 -1.111 2.540 -1.715 2.922 1990 3 2.722 1.412 0 0 2.722 1.412 2.623 2.299 1990 4 9.556 1.654 0 0 9.556 1.654 8.888 1.973 1990 5 13.111 -0.885 0 0 13.111 -0.885 11.728 -1.282 1990 6 19.556 0.154 0 0 19.556 0.154 18.667 0.252 1990 7 22.056 0.148 0 0 22.056 0.148 20.880 -0.041 1990 8 21.000 0.012 0 0 21.000 0.012 19.971 -0.031 1990 9 17.222 0.153 0 0 17.222 0.153 15.789 -0.294 1990 10 11.444 0.552 0 0 11.444 0.552 10.816 0.910 1990 11 5.667 0.819 0 0 5.667 0.819 6.241 2.379 1990 12 0.889 2.541 0 0 0.889 2.541 -0.049 2.590 1991 1 -4.889 -0.473 0 0 -4.889 -0.473 -4.754 0.648 1991 2 -1.222 2.429 0 0 -1.222 2.429 -1.470 3.167 1991 3 1.444 0.134 0 0 1.444 0.134 2.748 2.424 1991 4 7.889 -0.013 0 0 7.889 -0.013 9.475 2.559 1991 5 15.722 1.726 0 0 15.722 1.726 16.647 3.637 1991 6 20.944 1.543 0 0 20.944 1.543 19.918 1.503 1991 7 22.722 0.814 0 0 22.722 0.814 21.501 0.580 1991 8 22.944 1.957 0 0 22.944 1.957 20.917 0.915 1991 9 17.667 0.597 0 0 17.667 0.597 15.876 -0.207 1991 10 13.111 2.219 0 0 13.111 2.219 11.283 1.377 1991 11 4.444 -0.404 0 0 4.444 -0.404 3.887 0.025 1991 12 0.722 2.374 0 0 0.722 2.374 -1.224 1.415 1992 1 -2.056 2.360 0 0 -2.056 2.360 -3.593 1.809 1992 2 -1.667 1.984 0 0 -1.667 1.984 -3.041 1.597 1992 3 0.444 -0.866 0 0 0.444 -0.866 -0.323 -0.646 1992 4 7.389 -0.513 0 0 7.389 -0.513 6.628 -0.287 1992 5 14.833 0.837 0 0 14.833 0.837 12.879 -0.132 1992 6 17.944 -1.457 0 0 17.944 -1.457 16.691 -1.724 1992 7 19.889 -2.019 0 0 19.889 -2.019 19.034 -1.888 1992 8 19.722 -1.266 0 0 19.722 -1.266 18.293 -1.708 1992 9 17.722 0.653 0 0 17.722 0.653 15.932 -0.151 1992 10 9.444 -1.448 0 0 9.444 -1.448 8.141 -1.765 1992 11 4.778 -0.070 0 0 4.778 -0.070 4.338 0.476 1992 12 0.278 1.930 0 0 0.278 1.930 -1.753 0.885 1993 1 -1.611 2.805 0 0 -1.611 2.805 -2.827 2.575 1993 2 -6.500 -2.849 0 0 -6.500 -2.849 -7.600 -2.963 1993 3 -1.389 -2.699 0 0 -1.389 -2.699 -1.346 -1.670 1993 4 8.333 0.431 0 0 8.333 0.431 8.007 1.092 1993 5 13.722 -0.274 0 0 13.722 -0.274 12.975 -0.035 1993 6 18.722 -0.679 0 0 18.722 -0.679 18.056 -0.359 1993 7 23.056 1.148 0 0 23.056 1.148 22.020 1.098 1993 8 22.111 1.123 0 0 22.111 1.123 20.950 0.949 1993 9 15.056 -2.014 0 0 15.056 -2.014 15.001 -1.083 1993 10 9.611 -1.281 0 0 9.611 -1.281 8.840 -1.066 1993 11 4.444 -0.404 0 0 4.444 -0.404 4.136 0.274 1993 12 -1.278 0.374 0 0 -1.278 0.374 -3.183 -0.545 1994 1 -8.889 -4.473 0 0 -8.889 -4.473 -9.829 -4.427 1994 2 -6.167 -2.516 0 0 -6.167 -2.516 -6.865 -2.228 1994 3 -0.111 -1.421 0 0 -0.111 -1.421 -0.342 -0.666 1994 4 9.000 1.098 0 0 9.000 1.098 8.506 1.590 1994 5 NaN NaN NaN NaN NaN NaN 11.064 -1.946 1994 6 NaN NaN NaN NaN NaN NaN 19.408 0.992 1994 7 NaN NaN NaN NaN NaN NaN 21.970 1.048 1994 8 NaN NaN NaN NaN NaN NaN 19.096 -0.905 1994 9 NaN NaN NaN NaN NaN NaN 15.845 -0.238 1994 10 NaN NaN NaN NaN NaN NaN 10.112 0.206 1994 11 NaN NaN NaN NaN NaN NaN 7.039 3.177 1994 12 NaN NaN NaN NaN NaN NaN -0.162 2.477 1995 1 NaN NaN NaN NaN NaN NaN -2.294 3.108 1995 2 NaN NaN NaN NaN NaN NaN -6.542 -1.905 1995 3 NaN NaN NaN NaN NaN NaN 2.838 2.515 1995 4 NaN NaN NaN NaN NaN NaN 5.393 -1.522