% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28469 % Primary Name: RAY ROBERTS LAKE % Record Type: TAVG % Country: United States % State: TX % Latitude: 33.33330 +/- 0.00005 % Longitude: -97.05000 +/- 0.00005 % Elevation (m): 182.90 +/- 0.05 % # of Months: 41 % % IDs: coop - 417463 % ghcnd - USC00417463 % ncdc - 20025950 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 80b8082f3c100fc954c93cb7569d74f3 % Raw Data Hash: 657c9454f2282ec0c756d769e7bd2c2f % Adj Data Hash: 834bfdf6dc2a5bb8323d896cee771c66 % % 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 1983 4 NaN NaN NaN NaN NaN NaN 15.557 -2.663 1983 5 NaN NaN NaN NaN NaN NaN 20.758 -1.745 1983 6 NaN NaN NaN NaN NaN NaN 25.061 -1.879 1983 7 NaN NaN NaN NaN NaN NaN 28.378 -0.976 1983 8 NaN NaN NaN NaN NaN NaN 29.658 0.641 1983 9 NaN NaN NaN NaN NaN NaN 25.260 0.018 1983 10 NaN NaN NaN NaN NaN NaN 20.012 0.790 1983 11 NaN NaN NaN NaN NaN NaN 13.948 1.310 1983 12 NaN NaN NaN NaN NaN NaN 1.711 -6.536 1984 1 NaN NaN NaN NaN NaN NaN 3.456 -2.810 1984 2 NaN NaN NaN NaN NaN NaN 10.069 1.230 1984 3 NaN NaN NaN NaN NaN NaN 12.831 -0.257 1984 4 16.667 -0.562 0 0 16.667 -0.562 17.412 -0.809 1984 5 22.389 0.877 0 0 22.389 0.877 22.949 0.446 1984 6 27.167 1.218 0 0 27.167 1.218 27.800 0.860 1984 7 29.222 0.860 0 0 29.222 0.860 29.468 0.114 1984 8 28.722 0.697 0 0 28.722 0.697 29.652 0.635 1984 9 24.222 -0.028 0 0 24.222 -0.028 24.378 -0.864 1984 10 17.889 -0.341 0 0 17.889 -0.341 19.365 0.143 1984 11 11.389 -0.258 0 0 11.389 -0.258 12.500 -0.139 1984 12 9.543 2.289 1 0 NaN NaN 11.721 3.474 1985 1 2.389 -2.885 0 0 2.389 -2.885 2.764 -3.502 1985 2 5.278 -2.570 0 0 5.278 -2.570 6.480 -2.359 1985 3 16.326 4.230 1 0 NaN NaN 15.351 2.263 1985 4 18.495 1.266 0 0 18.495 1.266 19.354 1.134 1985 5 22.056 0.544 0 0 22.056 0.544 22.831 0.328 1985 6 25.778 -0.171 0 0 25.778 -0.171 26.868 -0.073 1985 7 28.278 -0.084 0 0 28.278 -0.084 28.994 -0.360 1985 8 29.833 1.808 0 0 29.833 1.808 30.726 1.709 1985 9 25.239 0.989 0 0 25.239 0.989 25.664 0.422 1985 10 18.705 0.475 0 0 18.705 0.475 19.767 0.545 1985 11 12.333 0.686 0 0 12.333 0.686 13.694 1.055 1985 12 3.778 -3.477 0 0 3.778 -3.477 5.885 -2.362 1986 1 7.500 2.226 0 0 7.500 2.226 8.512 2.246 1986 2 9.556 1.708 0 0 9.556 1.708 10.695 1.855 1986 3 13.389 1.293 0 0 13.389 1.293 14.934 1.846 1986 4 18.500 1.272 0 0 18.500 1.272 19.371 1.151 1986 5 20.944 -0.567 0 0 20.944 -0.567 21.895 -0.608 1986 6 26.111 0.163 0 0 26.111 0.163 27.102 0.161 1986 7 29.222 0.860 0 0 29.222 0.860 30.150 0.796 1986 8 27.444 -0.581 0 0 27.444 -0.581 28.651 -0.366 1986 9 25.667 1.417 0 0 25.667 1.417 26.519 1.277 1986 10 17.833 -0.397 0 0 17.833 -0.397 18.794 -0.428 1986 11 9.278 -2.369 0 0 9.278 -2.369 11.339 -1.300 1986 12 6.222 -1.032 0 0 6.222 -1.032 7.611 -0.636 1987 1 5.722 0.448 0 0 5.722 0.448 6.163 -0.103 1987 2 8.944 1.097 0 0 8.944 1.097 9.977 1.137 1987 3 10.557 -1.539 0 0 10.557 -1.539 11.833 -1.255 1987 4 16.056 -1.173 0 0 16.056 -1.173 18.065 -0.155 1987 5 22.889 1.377 0 0 22.889 1.377 23.505 1.001 1987 6 25.556 -0.393 0 0 25.556 -0.393 26.392 -0.549 1987 7 27.333 -1.029 0 0 27.333 -1.029 28.184 -1.170 1987 8 NaN NaN NaN NaN NaN NaN 30.334 1.317 1987 9 NaN NaN NaN NaN NaN NaN 24.800 -0.442 1987 10 NaN NaN NaN NaN NaN NaN 18.548 -0.674 1987 11 NaN NaN NaN NaN NaN NaN 13.057 0.418 1987 12 NaN NaN NaN NaN NaN NaN 8.471 0.224 1988 1 NaN NaN NaN NaN NaN NaN 4.417 -1.849 1988 2 NaN NaN NaN NaN NaN NaN 7.822 -1.017 1988 3 NaN NaN NaN NaN NaN NaN 12.747 -0.341 1988 4 13.960 -3.268 1 0 NaN NaN 17.881 -0.339 1988 5 NaN NaN NaN NaN NaN NaN 22.203 -0.300 1988 6 NaN NaN NaN NaN NaN NaN 26.796 -0.144 1988 7 NaN NaN NaN NaN NaN NaN 29.272 -0.082 1988 8 NaN NaN NaN NaN NaN NaN 30.362 1.346 1988 9 NaN NaN NaN NaN NaN NaN 25.706 0.464 1988 10 NaN NaN NaN NaN NaN NaN 18.273 -0.949 1988 11 NaN NaN NaN NaN NaN NaN 14.005 1.366 1988 12 NaN NaN NaN NaN NaN NaN 9.318 1.072 1989 1 NaN NaN NaN NaN NaN NaN 8.801 2.535 1989 2 NaN NaN NaN NaN NaN NaN 4.909 -3.930 1989 3 NaN NaN NaN NaN NaN NaN 12.644 -0.444 1989 4 NaN NaN NaN NaN NaN NaN 18.821 0.601