% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31453 % Primary Name: OPTIMA LAKE % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.65000 +/- 0.00005 % Longitude: -101.13330 +/- 0.00005 % Elevation (m): 863.80 +/- 0.05 % # of Months: 105 % % IDs: coop - 346740 % ghcnd - USC00346740 % ncdc - 20015024 % nws - OPLO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 3a448da66faebcd860296fcddc11ef3e % Raw Data Hash: 17bf9df792387d655ec090be1fc703a0 % Adj Data Hash: 639d5111d0b6bdf1589b3e46301c8ab9 % % 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 1984 12 NaN NaN NaN NaN NaN NaN 3.963 1.257 1985 1 NaN NaN NaN NaN NaN NaN -0.656 -1.584 1985 2 NaN NaN NaN NaN NaN NaN 1.916 -1.640 1985 3 NaN NaN NaN NaN NaN NaN 8.732 1.439 1985 4 NaN NaN NaN NaN NaN NaN 14.990 1.868 1985 5 NaN NaN NaN NaN NaN NaN 19.234 0.882 1985 6 NaN NaN NaN NaN NaN NaN 23.596 -0.232 1985 7 NaN NaN NaN NaN NaN NaN 26.742 0.377 1985 8 NaN NaN NaN NaN NaN NaN 25.892 0.550 1985 9 NaN NaN NaN NaN NaN NaN 20.597 -0.304 1985 10 NaN NaN NaN NaN NaN NaN 13.947 -0.663 1985 11 NaN NaN NaN NaN NaN NaN 5.459 -1.514 1985 12 0.278 -2.065 0 0 0.278 -2.065 1.120 -1.586 1986 1 5.167 4.602 0 0 5.167 4.602 5.619 4.691 1986 2 4.056 0.864 0 0 4.056 0.864 4.581 1.025 1986 3 11.111 4.183 0 0 11.111 4.183 10.849 3.557 1986 4 14.944 2.187 0 0 14.944 2.187 15.379 2.257 1986 5 18.500 0.511 0 0 18.500 0.511 18.391 0.039 1986 6 23.449 -0.015 0 0 23.449 -0.015 23.974 0.145 1986 7 27.242 1.241 0 0 27.242 1.241 27.447 1.082 1986 8 24.444 -0.533 0 0 24.444 -0.533 24.665 -0.676 1986 9 21.417 0.879 0 0 21.417 0.879 21.194 0.292 1986 10 13.111 -1.136 0 0 13.111 -1.136 13.894 -0.716 1986 11 5.667 -0.943 0 0 5.667 -0.943 6.022 -0.951 1986 12 1.389 -0.953 0 0 1.389 -0.953 2.902 0.196 1987 1 1.944 1.380 0 0 1.944 1.380 1.088 0.160 1987 2 5.333 2.142 0 0 5.333 2.142 5.528 1.972 1987 3 5.722 -1.206 0 0 5.722 -1.206 6.056 -1.236 1987 4 12.389 -0.369 0 0 12.389 -0.369 13.051 -0.070 1987 5 18.667 0.678 0 0 18.667 0.678 18.603 0.250 1987 6 23.111 -0.353 0 0 23.111 -0.353 23.498 -0.330 1987 7 25.111 -0.890 0 0 25.111 -0.890 25.685 -0.680 1987 8 24.889 -0.089 0 0 24.889 -0.089 24.881 -0.460 1987 9 20.000 -0.538 0 0 20.000 -0.538 20.187 -0.714 1987 10 14.000 -0.247 0 0 14.000 -0.247 14.663 0.053 1987 11 7.222 0.613 0 0 7.222 0.613 7.529 0.556 1987 12 1.278 -1.065 0 0 1.278 -1.065 1.956 -0.751 1988 1 -2.889 -3.453 0 0 -2.889 -3.453 -1.464 -2.392 1988 2 2.056 -1.136 0 0 2.056 -1.136 3.191 -0.364 1988 3 6.222 -0.706 0 0 6.222 -0.706 6.284 -1.008 1988 4 11.000 -1.758 0 0 11.000 -1.758 11.944 -1.177 1988 5 17.667 -0.322 0 0 17.667 -0.322 17.671 -0.681 1988 6 24.333 0.869 0 0 24.333 0.869 24.389 0.560 1988 7 25.222 -0.779 0 0 25.222 -0.779 25.583 -0.782 1988 8 26.389 1.411 0 0 26.389 1.411 25.896 0.555 1988 9 20.056 -0.482 0 0 20.056 -0.482 19.939 -0.962 1988 10 13.000 -1.247 0 0 13.000 -1.247 14.542 -0.069 1988 11 8.000 1.390 0 0 8.000 1.390 8.310 1.336 1988 12 3.167 0.824 0 0 3.167 0.824 3.993 1.287 1989 1 2.889 2.324 0 0 2.889 2.324 3.624 2.696 1989 2 -2.444 -5.636 0 0 -2.444 -5.636 -0.883 -4.439 1989 3 8.833 1.905 0 0 8.833 1.905 9.222 1.930 1989 4 14.740 1.982 0 0 14.740 1.982 15.261 2.139 1989 5 19.056 1.067 0 0 19.056 1.067 18.949 0.596 1989 6 20.667 -2.798 0 0 20.667 -2.798 21.130 -2.698 1989 7 24.833 -1.168 0 0 24.833 -1.168 25.170 -1.195 1989 8 24.722 -0.255 0 0 24.722 -0.255 24.481 -0.861 1989 9 19.222 -1.315 0 0 19.222 -1.315 19.105 -1.797 1989 10 14.667 0.420 0 0 14.667 0.420 15.704 1.093 1989 11 7.722 1.113 0 0 7.722 1.113 8.363 1.389 1989 12 -1.556 -3.898 0 0 -1.556 -3.898 -0.389 -3.095 1990 1 1.833 1.269 0 0 1.833 1.269 3.004 2.076 1990 2 2.722 -0.469 0 0 2.722 -0.469 4.144 0.588 1990 3 7.278 0.349 0 0 7.278 0.349 7.402 0.110 1990 4 13.278 0.520 0 0 13.278 0.520 13.530 0.409 1990 5 16.833 -1.155 0 0 16.833 -1.155 17.027 -1.326 1990 6 26.056 2.591 0 0 26.056 2.591 26.874 3.046 1990 7 25.889 -0.112 0 0 25.889 -0.112 25.546 -0.818 1990 8 25.889 0.911 0 0 25.889 0.911 25.192 -0.149 1990 9 22.833 2.296 0 0 22.833 2.296 22.541 1.639 1990 10 NaN NaN NaN NaN NaN NaN 14.545 -0.066 1990 11 9.500 2.890 0 0 9.500 2.890 9.446 2.473 1990 12 -0.833 -3.176 0 0 -0.833 -3.176 0.341 -2.366 1991 1 -1.222 -1.787 0 0 -1.222 -1.787 -0.614 -1.542 1991 2 6.944 3.753 0 0 6.944 3.753 7.529 3.974 1991 3 9.000 2.072 0 0 9.000 2.072 8.984 1.691 1991 4 14.222 1.464 0 0 14.222 1.464 14.440 1.319 1991 5 20.444 2.456 0 0 20.444 2.456 19.757 1.404 1991 6 23.889 0.424 0 0 23.889 0.424 24.161 0.333 1991 7 25.833 -0.168 0 0 25.833 -0.168 25.712 -0.652 1991 8 25.556 0.578 0 0 25.556 0.578 24.940 -0.401 1991 9 20.500 -0.038 0 0 20.500 -0.038 19.873 -1.028 1991 10 14.944 0.697 0 0 14.944 0.697 15.227 0.616 1991 11 3.444 -3.165 0 0 3.444 -3.165 4.222 -2.752 1991 12 2.611 0.269 0 0 2.611 0.269 3.670 0.964 1992 1 3.389 2.824 0 0 3.389 2.824 3.146 2.218 1992 2 6.722 3.531 0 0 6.722 3.531 6.711 3.156 1992 3 10.056 3.127 0 0 10.056 3.127 9.690 2.398 1992 4 13.944 1.187 0 0 13.944 1.187 14.543 1.422 1992 5 17.722 -0.267 0 0 17.722 -0.267 17.560 -0.792 1992 6 21.167 -2.298 0 0 21.167 -2.298 21.518 -2.311 1992 7 25.611 -0.390 0 0 25.611 -0.390 25.365 -1.000 1992 8 22.278 -2.700 0 0 22.278 -2.700 22.821 -2.521 1992 9 21.444 0.907 0 0 21.444 0.907 21.188 0.286 1992 10 14.778 0.531 0 0 14.778 0.531 15.788 1.177 1992 11 3.722 -2.887 0 0 3.722 -2.887 4.077 -2.896 1992 12 -0.722 -3.065 0 0 -0.722 -3.065 1.215 -1.491 1993 1 -2.556 -3.120 0 0 -2.556 -3.120 -1.076 -2.004 1993 2 0.500 -2.692 0 0 0.500 -2.692 1.884 -1.671 1993 3 7.111 0.183 0 0 7.111 0.183 7.138 -0.155 1993 4 11.667 -1.091 0 0 11.667 -1.091 12.207 -0.915 1993 5 18.056 0.067 0 0 18.056 0.067 17.788 -0.564 1993 6 23.278 -0.187 0 0 23.278 -0.187 23.443 -0.385 1993 7 27.056 1.055 0 0 27.056 1.055 26.702 0.338 1993 8 25.778 0.800 0 0 25.778 0.800 25.254 -0.087 1993 9 19.389 -1.149 0 0 19.389 -1.149 19.680 -1.222 1993 10 12.389 -1.858 0 0 12.389 -1.858 13.260 -1.351 1993 11 3.889 -2.721 0 0 3.889 -2.721 4.779 -2.194 1993 12 2.889 0.547 0 0 2.889 0.547 3.938 1.232 1994 1 1.056 0.491 0 0 1.056 0.491 1.676 0.748 1994 2 -0.971 -4.163 1 0 NaN NaN 1.930 -1.626 1994 3 8.278 1.349 0 0 8.278 1.349 8.306 1.014 1994 4 NaN NaN NaN NaN NaN NaN 13.231 0.109 1994 5 18.889 0.900 0 0 18.889 0.900 18.379 0.026 1994 6 26.556 3.091 0 0 26.556 3.091 26.867 3.038 1994 7 26.000 -0.001 0 0 26.000 -0.001 26.078 -0.286 1994 8 25.000 0.022 0 0 25.000 0.022 25.591 0.249 1994 9 20.389 -0.149 0 0 20.389 -0.149 20.891 -0.010 1994 10 14.389 0.142 0 0 14.389 0.142 15.269 0.658 1994 11 NaN NaN NaN NaN NaN NaN 7.228 0.255 1994 12 NaN NaN NaN NaN NaN NaN 5.498 2.792 1995 1 NaN NaN NaN NaN NaN NaN 2.773 1.845 1995 2 NaN NaN NaN NaN NaN NaN 6.530 2.975 1995 3 NaN NaN NaN NaN NaN NaN 7.412 0.120 1995 4 NaN NaN NaN NaN NaN NaN 11.541 -1.580 1995 5 NaN NaN NaN NaN NaN NaN 15.443 -2.910 1995 6 NaN NaN NaN NaN NaN NaN 22.011 -1.817 1995 7 NaN NaN NaN NaN NaN NaN 25.806 -0.558 1995 8 NaN NaN NaN NaN NaN NaN 26.541 1.200 1995 9 NaN NaN NaN NaN NaN NaN 20.331 -0.571 1995 10 NaN NaN NaN NaN NaN NaN 14.747 0.136