% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33404 % Primary Name: BUFFALO % Record Type: TAVG % Country: United States % State: WV % Latitude: 38.60834 +/- 0.00005 % Longitude: -81.98470 +/- 0.00005 % Elevation (m): 176.80 +/- 0.05 % # of Months: 35 % % IDs: coop - 461231 % ghcnd - USC00461231 % ncdc - 30000108 % nws - BUFW2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 59682fdcb153d688680950ba88e1e3e3 % Raw Data Hash: 149e8de5b0fd82e46e710b3b1023a967 % Adj Data Hash: 30b9cb333c1e0441c8205d6e7657be1e % % 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 1994 11 NaN NaN NaN NaN NaN NaN 9.736 3.498 1994 12 NaN NaN NaN NaN NaN NaN 4.363 2.886 1995 1 NaN NaN NaN NaN NaN NaN 0.638 1.075 1995 2 NaN NaN NaN NaN NaN NaN -0.846 -1.777 1995 3 NaN NaN NaN NaN NaN NaN 7.567 1.806 1995 4 NaN NaN NaN NaN NaN NaN 12.035 0.626 1995 5 NaN NaN NaN NaN NaN NaN 15.896 -0.423 1995 6 NaN NaN NaN NaN NaN NaN 20.442 0.386 1995 7 NaN NaN NaN NaN NaN NaN 23.194 1.038 1995 8 NaN NaN NaN NaN NaN NaN 24.175 2.460 1995 9 NaN NaN NaN NaN NaN NaN 18.059 -0.336 1995 10 NaN NaN NaN NaN NaN NaN 12.853 0.965 1995 11 4.222 -2.305 0 0 4.222 -2.305 4.488 -1.750 1995 12 -0.667 -2.432 0 0 -0.667 -2.432 -0.573 -2.049 1996 1 -1.278 -1.130 0 0 -1.278 -1.130 -1.078 -0.641 1996 2 0.111 -1.110 0 0 0.111 -1.110 0.132 -0.800 1996 3 2.611 -3.439 0 0 2.611 -3.439 3.083 -2.678 1996 4 10.667 -1.032 0 0 10.667 -1.032 10.978 -0.431 1996 5 17.222 0.613 0 0 17.222 0.613 17.070 0.750 1996 6 22.000 1.655 0 0 22.000 1.655 20.970 0.914 1996 7 22.222 -0.223 0 0 22.222 -0.223 21.263 -0.894 1996 8 22.667 0.662 0 0 22.667 0.662 21.639 -0.077 1996 9 18.500 -0.185 0 0 18.500 -0.185 18.033 -0.363 1996 10 12.667 0.489 0 0 12.667 0.489 12.335 0.446 1996 11 3.444 -3.083 0 0 3.444 -3.083 3.885 -2.353 1996 12 3.778 2.012 0 0 3.778 2.012 3.730 2.253 1997 1 -0.333 -0.185 0 0 -0.333 -0.185 -0.264 0.174 1997 2 3.889 2.668 0 0 3.889 2.668 3.703 2.771 1997 3 7.333 1.283 0 0 7.333 1.283 8.157 2.396 1997 4 8.722 -2.976 0 0 8.722 -2.976 9.105 -2.305 1997 5 13.722 -2.887 0 0 13.722 -2.887 13.320 -3.000 1997 6 20.722 0.377 0 0 20.722 0.377 19.526 -0.531 1997 7 23.611 1.165 0 0 23.611 1.165 22.873 0.716 1997 8 21.556 -0.449 0 0 21.556 -0.449 20.870 -0.845 1997 9 18.056 -0.629 0 0 18.056 -0.629 18.070 -0.326 1997 10 12.611 0.434 0 0 12.611 0.434 11.856 -0.033 1997 11 5.000 -1.527 0 0 5.000 -1.527 5.035 -1.203 1997 12 2.500 0.734 0 0 2.500 0.734 1.988 0.512 1998 1 4.000 4.148 0 0 4.000 4.148 2.977 3.414 1998 2 4.611 3.390 0 0 4.611 3.390 3.542 2.610 1998 3 6.444 0.394 0 0 6.444 0.394 6.007 0.246 1998 4 11.722 0.024 0 0 11.722 0.024 12.015 0.606 1998 5 18.333 1.724 0 0 18.333 1.724 17.984 1.664 1998 6 21.278 0.932 0 0 21.278 0.932 20.657 0.601 1998 7 23.111 0.665 0 0 23.111 0.665 22.679 0.523 1998 8 23.333 1.329 0 0 23.333 1.329 22.508 0.793 1998 9 21.603 2.918 1 0 NaN NaN 21.006 2.610 1998 10 NaN NaN NaN NaN NaN NaN 13.111 1.222 1998 11 NaN NaN NaN NaN NaN NaN 7.862 1.624 1998 12 NaN NaN NaN NaN NaN NaN 4.131 2.654 1999 1 NaN NaN NaN NaN NaN NaN 2.138 2.575 1999 2 NaN NaN NaN NaN NaN NaN 2.484 1.552 1999 3 NaN NaN NaN NaN NaN NaN 3.588 -2.173 1999 4 NaN NaN NaN NaN NaN NaN 13.481 2.071 1999 5 NaN NaN NaN NaN NaN NaN 16.510 0.190 1999 6 NaN NaN NaN NaN NaN NaN 21.148 1.092 1999 7 NaN NaN NaN NaN NaN NaN 24.367 2.210 1999 8 NaN NaN NaN NaN NaN NaN 22.077 0.362 1999 9 NaN NaN NaN NaN NaN NaN 18.183 -0.213