% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26949 % Primary Name: BON WIER % Record Type: TAVG % Country: United States % State: TX % Latitude: 30.73330 +/- 0.00005 % Longitude: -93.65000 +/- 0.00005 % Elevation (m): 27.10 +/- 0.05 % # of Months: 40 % % Alternate Names: BON WIER 2 E % % IDs: coop - 410917 % ghcnd - USC00410917 % ncdc - 20024786 % ncdc - 20024797 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a4837b5b6c7a5ad8d6bb4dc5377ee7af % Raw Data Hash: 2627bf66c9aacdfabba5fc6cfaa3e673 % Adj Data Hash: 50e6cb74919a4686a3025d16c07ab1e6 % % 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 1961 5 NaN NaN NaN NaN NaN NaN 22.229 -0.521 1961 6 NaN NaN NaN NaN NaN NaN 24.689 -1.525 1961 7 NaN NaN NaN NaN NaN NaN 26.572 -1.373 1961 8 NaN NaN NaN NaN NaN NaN 26.119 -1.563 1961 9 NaN NaN NaN NaN NaN NaN 24.931 -0.008 1961 10 NaN NaN NaN NaN NaN NaN 18.805 -0.389 1961 11 NaN NaN NaN NaN NaN NaN 13.249 -0.433 1961 12 NaN NaN NaN NaN NaN NaN 10.051 0.110 1962 1 NaN NaN NaN NaN NaN NaN 6.112 -2.472 1962 2 NaN NaN NaN NaN NaN NaN 14.615 4.109 1962 3 NaN NaN NaN NaN NaN NaN 12.149 -2.242 1962 4 NaN NaN NaN NaN NaN NaN 17.990 -0.887 1962 5 22.889 0.481 0 0 22.614 0.206 23.492 0.742 1962 6 25.833 -0.037 0 0 25.559 -0.312 26.109 -0.104 1962 7 28.167 0.564 0 0 27.892 0.290 28.474 0.529 1962 8 29.556 2.216 0 0 29.281 1.941 29.333 1.651 1962 9 25.667 1.070 0 0 25.392 0.795 25.741 0.802 1962 10 21.611 2.759 0 0 21.336 2.484 21.398 2.204 1962 11 12.667 -0.672 0 0 12.392 -0.947 13.011 -0.670 1962 12 9.722 0.123 0 0 9.447 -0.152 9.673 -0.268 1963 1 6.111 -2.129 0 0 5.836 -2.404 5.080 -3.504 1963 2 8.611 -1.552 0 0 8.336 -1.827 8.294 -2.212 1963 3 16.833 2.785 0 0 16.559 2.510 16.456 2.065 1963 4 21.389 2.855 0 0 21.114 2.580 21.421 2.544 1963 5 23.500 1.092 0 0 23.225 0.817 23.555 0.805 1963 6 26.667 0.796 0 0 26.392 0.521 27.218 1.005 1963 7 27.056 -0.547 0 0 26.781 -0.821 28.186 0.241 1963 8 27.056 -0.284 0 4 27.527 0.188 28.495 0.813 1963 9 24.889 0.292 0 0 25.360 0.764 25.651 0.712 1963 10 20.722 1.870 0 0 21.194 2.342 21.789 2.594 1963 11 13.889 0.550 0 0 14.360 1.021 15.017 1.335 1963 12 5.389 -4.210 0 0 5.860 -3.739 5.865 -4.077 1964 1 7.389 -0.852 0 0 7.860 -0.380 7.966 -0.618 1964 2 7.611 -2.552 0 0 8.083 -2.080 7.644 -2.862 1964 3 13.444 -0.604 0 0 13.916 -0.133 13.873 -0.518 1964 4 19.667 1.133 0 0 20.138 1.604 20.336 1.460 1964 5 22.722 0.314 0 0 23.194 0.786 23.516 0.766 1964 6 25.111 -0.759 0 0 25.583 -0.288 26.506 0.293 1964 7 26.556 -1.047 0 0 27.027 -0.575 28.377 0.433 1964 8 27.389 0.049 0 0 27.860 0.521 28.617 0.935 1964 9 24.722 0.126 0 1 24.555 -0.042 25.285 0.345 1964 10 17.222 -1.630 0 0 17.055 -1.797 17.684 -1.510 1964 11 16.056 2.717 0 0 15.888 2.549 16.065 2.384 1964 12 10.944 1.345 0 0 10.777 1.178 10.669 0.727 1965 1 10.778 2.537 0 0 10.610 2.370 10.478 1.895 1965 2 10.056 -0.107 0 0 9.888 -0.275 9.333 -1.173 1965 3 12.333 -1.715 0 0 12.166 -1.883 11.208 -3.184 1965 4 21.167 2.633 0 0 20.999 2.465 21.305 2.428 1965 5 23.389 0.981 0 0 23.222 0.814 23.398 0.648 1965 6 25.667 -0.204 0 0 25.499 -0.371 26.204 -0.009 1965 7 27.722 0.120 0 0 27.555 -0.047 28.370 0.425 1965 8 26.611 -0.728 0 0 26.444 -0.896 27.389 -0.293 1965 9 NaN NaN NaN NaN NaN NaN 25.747 0.808 1965 10 NaN NaN NaN NaN NaN NaN 18.383 -0.812 1965 11 NaN NaN NaN NaN NaN NaN 17.907 4.226 1965 12 NaN NaN NaN NaN NaN NaN 11.279 1.338 1966 1 NaN NaN NaN NaN NaN NaN 6.124 -2.459 1966 2 NaN NaN NaN NaN NaN NaN 8.634 -1.872 1966 3 NaN NaN NaN NaN NaN NaN 13.787 -0.604 1966 4 NaN NaN NaN NaN NaN NaN 19.374 0.497 1966 5 NaN NaN NaN NaN NaN NaN 22.643 -0.107 1966 6 NaN NaN NaN NaN NaN NaN 25.594 -0.619 1966 7 NaN NaN NaN NaN NaN NaN 28.848 0.904 1966 8 NaN NaN NaN NaN NaN NaN 26.650 -1.031