% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31375 % Primary Name: SOUTH GRAND LAKE % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.55000 +/- 0.00500 % Longitude: -94.90000 +/- 0.00500 % Elevation (m): 232.00 +/- 0.05 % # of Months: 137 % % IDs: coop - 348335 % ghcnd - USC00348335 % ncdc - 20014998 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: df767ffd1762af16907631691f6474af % Raw Data Hash: 1eb6a68d72c69141142d33885295db03 % Adj Data Hash: 3eb6a3f893f8ca2829aec05ad4c85e7a % % 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 1941 4 NaN NaN NaN NaN NaN NaN 17.026 1.245 1941 5 NaN NaN NaN NaN NaN NaN 21.816 1.515 1941 6 NaN NaN NaN NaN NaN NaN 24.095 -0.790 1941 7 NaN NaN NaN NaN NaN NaN 27.935 0.199 1941 8 NaN NaN NaN NaN NaN NaN 26.993 -0.021 1941 9 NaN NaN NaN NaN NaN NaN 23.344 0.522 1941 10 NaN NaN NaN NaN NaN NaN 18.766 2.251 1941 11 NaN NaN NaN NaN NaN NaN 9.384 -0.031 1941 12 NaN NaN NaN NaN NaN NaN 6.380 2.088 1942 1 NaN NaN NaN NaN NaN NaN 1.371 -0.517 1942 2 NaN NaN NaN NaN NaN NaN 4.091 -0.779 1942 3 NaN NaN NaN NaN NaN NaN 9.408 -0.127 1942 4 18.556 3.003 0 0 18.046 2.494 17.200 1.420 1942 5 NaN NaN NaN NaN NaN NaN 19.095 -1.206 1942 6 25.444 0.788 0 0 24.642 -0.015 24.633 -0.252 1942 7 28.222 0.715 0 0 27.413 -0.095 27.030 -0.706 1942 8 26.778 -0.008 0 0 25.946 -0.839 26.067 -0.947 1942 9 21.611 -0.983 0 0 20.658 -1.936 21.322 -1.500 1942 10 16.222 -0.064 0 0 15.296 -0.991 16.402 -0.113 1942 11 12.611 3.424 0 0 12.027 2.839 11.334 1.919 1942 12 5.444 1.380 0 0 5.230 1.165 4.643 0.350 1943 1 4.333 2.674 0 0 4.175 2.516 1.981 0.094 1943 2 7.667 3.024 0 0 7.347 2.704 7.108 2.237 1943 3 7.111 -2.196 0 0 6.678 -2.629 6.265 -3.270 1943 4 17.111 1.559 0 0 16.602 1.049 17.355 1.574 1943 5 20.000 -0.073 0 0 19.333 -0.740 19.544 -0.757 1943 6 26.333 1.676 0 0 25.531 0.874 26.161 1.276 1943 7 28.889 1.381 0 0 28.080 0.572 28.978 1.242 1943 8 30.111 3.326 0 0 29.280 2.494 29.986 2.972 1943 9 20.667 -1.927 0 0 19.714 -2.880 21.596 -1.226 1943 10 15.111 -1.175 0 0 14.185 -2.102 15.285 -1.229 1943 11 9.556 0.368 0 0 8.971 -0.216 9.081 -0.334 1943 12 2.778 -1.287 0 0 2.563 -1.501 2.542 -1.751 1944 1 3.556 1.897 0 0 3.397 1.739 3.025 1.138 1944 2 6.667 2.024 0 0 6.347 1.704 6.461 1.591 1944 3 9.222 -0.085 0 0 8.789 -0.518 8.138 -1.397 1944 4 14.111 -1.441 0 0 13.602 -1.951 14.402 -1.378 1944 5 21.222 1.149 0 0 20.555 0.482 20.534 0.233 1944 6 25.889 1.232 0 0 25.086 0.429 25.961 1.076 1944 7 27.333 -0.174 0 0 26.524 -0.983 27.266 -0.470 1944 8 27.278 0.492 0 0 26.446 -0.339 27.363 0.349 1944 9 21.889 -0.705 0 0 20.936 -1.658 22.205 -0.617 1944 10 16.889 0.602 0 0 15.963 -0.324 17.709 1.194 1944 11 11.556 2.368 0 0 10.971 1.784 10.939 1.523 1944 12 1.944 -2.120 0 4 2.009 -2.055 2.035 -2.258 1945 1 2.667 1.008 0 0 2.714 1.055 2.462 0.575 1945 2 4.889 0.246 0 0 4.985 0.343 4.766 -0.105 1945 3 12.722 3.415 0 0 12.853 3.546 12.251 2.716 1945 4 15.111 -0.441 0 0 15.264 -0.288 15.207 -0.574 1945 5 18.444 -1.628 0 0 18.645 -1.428 18.559 -1.742 1945 6 22.611 -2.046 0 0 22.853 -1.804 23.464 -1.421 1945 7 25.056 -2.452 0 0 25.299 -2.208 25.883 -1.853 1945 8 25.667 -1.119 0 0 25.917 -0.869 26.332 -0.682 1945 9 21.667 -0.927 0 0 21.953 -0.641 22.716 -0.106 1945 10 15.278 -1.009 0 0 15.557 -0.730 16.132 -0.383 1945 11 10.722 1.535 0 0 10.898 1.711 10.931 1.515 1945 12 1.056 -3.009 0 0 1.120 -2.944 1.291 -3.002 1946 1 3.000 1.341 0 0 3.048 1.389 2.840 0.953 1946 2 8.000 3.358 0 0 8.096 3.454 7.888 3.017 1946 3 14.111 4.804 0 0 14.241 4.935 13.263 3.728 1946 4 18.222 2.670 0 0 18.376 2.823 18.161 2.381 1946 5 18.000 -2.073 0 0 18.201 -1.872 18.061 -2.240 1946 6 24.389 -0.268 0 0 24.631 -0.026 24.428 -0.457 1946 7 27.667 0.159 0 0 27.910 0.403 28.452 0.717 1946 8 26.722 -0.063 0 0 26.972 0.187 27.653 0.639 1946 9 21.611 -0.983 0 0 21.898 -0.696 22.661 -0.161 1946 10 17.556 1.269 0 0 17.834 1.548 18.645 2.130 1946 11 10.056 0.868 0 0 10.231 1.044 10.009 0.593 1946 12 8.000 3.936 0 0 8.065 4.000 7.780 3.488 1947 1 4.111 2.452 0 0 4.159 2.500 3.076 1.189 1947 2 1.444 -3.198 0 0 1.541 -3.102 1.996 -2.875 1947 3 5.444 -3.862 0 0 5.575 -3.732 5.831 -3.704 1947 4 15.222 -0.330 0 0 15.376 -0.177 15.408 -0.372 1947 5 17.444 -2.628 0 0 17.645 -2.428 18.648 -1.653 1947 6 23.694 -0.962 0 0 23.936 -0.721 24.913 0.028 1947 7 25.611 -1.896 0 0 25.855 -1.653 26.149 -1.587 1947 8 29.556 2.770 0 0 29.806 3.020 29.712 2.698 1947 9 24.000 1.406 0 0 24.287 1.693 24.844 2.022 1947 10 20.444 4.158 0 0 20.723 4.437 20.664 4.149 1947 11 7.667 -1.521 0 0 7.843 -1.345 7.859 -1.557 1947 12 5.556 1.491 0 0 5.620 1.556 5.348 1.055 1948 1 0.000 -1.659 0 0 0.048 -1.611 -0.991 -2.878 1948 2 3.278 -1.365 0 0 3.374 -1.268 3.248 -1.623 1948 3 7.111 -2.196 0 0 7.241 -2.065 6.898 -2.637 1948 4 19.000 3.448 0 0 19.153 3.601 19.045 3.264 1948 5 18.944 -1.128 0 0 19.145 -0.928 19.853 -0.448 1948 6 24.611 -0.046 0 0 24.853 0.196 25.162 0.277 1948 7 25.667 -1.841 0 0 25.910 -1.597 26.880 -0.856 1948 8 24.333 -2.452 0 0 24.584 -2.202 25.724 -1.290 1948 9 21.278 -1.316 0 0 21.565 -1.030 22.940 0.118 1948 10 15.167 -1.120 0 0 15.445 -0.841 16.002 -0.513 1948 11 9.833 0.646 0 0 10.009 0.822 9.343 -0.072 1948 12 6.833 2.769 0 0 6.898 2.833 5.892 1.599 1949 1 NaN NaN NaN NaN NaN NaN 0.145 -1.742 1949 2 6.944 2.302 0 0 7.041 2.398 4.664 -0.207 1949 3 NaN NaN NaN NaN NaN NaN 8.860 -0.675 1949 4 NaN NaN NaN NaN NaN NaN 15.192 -0.588 1949 5 NaN NaN NaN NaN NaN NaN 21.163 0.862 1949 6 NaN NaN NaN NaN NaN NaN 25.719 0.834 1949 7 27.333 -0.174 0 0 27.577 0.069 27.594 -0.141 1949 8 25.500 -1.286 0 0 25.750 -1.035 25.475 -1.539 1949 9 20.444 -2.150 0 0 20.731 -1.863 20.104 -2.718 1949 10 16.333 0.047 0 0 16.612 0.326 16.717 0.202 1949 11 11.111 1.924 0 0 11.287 2.100 10.995 1.579 1949 12 6.000 1.936 0 0 6.065 2.000 5.488 1.195 1950 1 4.500 2.841 0 0 4.548 2.889 3.412 1.525 1950 2 6.944 2.302 0 0 7.041 2.398 6.770 1.899 1950 3 8.222 -1.085 0 0 8.353 -0.954 7.706 -1.829 1950 4 14.556 -0.997 0 0 14.709 -0.843 14.683 -1.098 1950 5 19.889 -0.184 0 0 20.090 0.017 19.966 -0.335 1950 6 24.111 -0.546 0 0 24.353 -0.304 24.786 -0.099 1950 7 22.722 -4.785 0 0 22.966 -4.542 24.501 -3.234 1950 8 22.556 -4.230 0 0 22.806 -3.980 23.876 -3.137 1950 9 19.889 -2.705 0 0 20.176 -2.418 21.098 -1.725 1950 10 16.500 0.213 0 0 16.779 0.492 19.283 2.768 1950 11 6.667 -2.521 0 0 6.843 -2.345 7.758 -1.658 1950 12 2.278 -1.787 0 0 2.342 -1.722 2.652 -1.641 1951 1 3.833 2.174 0 0 3.881 2.222 2.686 0.799 1951 2 6.056 1.413 0 0 6.152 1.509 5.745 0.875 1951 3 9.444 0.138 0 0 9.575 0.268 8.383 -1.152 1951 4 13.444 -2.108 0 0 13.598 -1.955 13.934 -1.846 1951 5 20.222 0.149 0 0 20.423 0.350 20.076 -0.225 1951 6 23.278 -1.379 0 0 23.519 -1.138 23.740 -1.145 1951 7 26.333 -1.174 0 0 26.577 -0.931 27.251 -0.485 1951 8 27.389 0.603 0 0 27.639 0.854 28.152 1.138 1951 9 20.444 -2.150 0 0 20.731 -1.863 21.662 -1.160 1951 10 15.889 -0.398 0 0 16.168 -0.119 16.826 0.311 1951 11 5.556 -3.632 0 0 5.731 -3.456 6.285 -3.131 1951 12 3.889 -0.176 0 0 3.953 -0.111 4.524 0.231 1952 1 7.167 5.508 0 0 7.214 5.555 5.892 4.005 1952 2 7.000 2.358 0 0 7.096 2.454 7.412 2.542 1952 3 8.056 -1.251 0 0 8.186 -1.121 7.862 -1.673 1952 4 12.667 -2.886 0 0 12.820 -2.732 13.774 -2.007 1952 5 19.208 -0.864 1 0 NaN NaN 20.028 -0.273 1952 6 27.111 2.454 0 0 27.353 2.696 27.930 3.045 1952 7 26.944 -0.563 0 0 27.188 -0.320 28.179 0.443 1952 8 25.667 -1.119 0 0 25.917 -0.869 28.226 1.212 1952 9 20.278 -2.316 0 0 20.565 -2.030 22.856 0.034 1952 10 12.889 -3.398 0 0 13.168 -3.119 14.693 -1.822 1952 11 7.611 -1.576 0 0 7.787 -1.400 8.894 -0.522 1952 12 3.000 -1.064 0 0 3.065 -1.000 4.029 -0.264 1953 1 5.818 4.159 1 0 NaN NaN 4.482 2.595 1953 2 5.056 0.413 0 0 5.152 0.509 6.820 1.950 1953 3 11.222 1.915 0 0 11.353 2.046 11.890 2.355 1953 4 11.056 -4.497 0 0 11.209 -4.343 13.262 -2.518 1953 5 18.389 -1.684 0 0 18.590 -1.483 20.229 -0.072 1953 6 28.056 3.399 0 0 28.297 3.640 29.144 4.259 1953 7 26.167 -1.341 0 0 26.410 -1.097 26.850 -0.886 1953 8 26.944 0.159 0 0 27.195 0.409 26.347 -0.666 1953 9 24.222 1.628 0 0 24.509 1.915 23.949 1.126 1953 10 17.444 1.158 0 0 17.723 1.437 18.071 1.556 1953 11 10.111 0.924 0 0 10.287 1.100 9.816 0.401 1953 12 5.333 1.269 0 0 5.398 1.333 4.780 0.488 1954 1 NaN NaN NaN NaN NaN NaN 2.255 0.368 1954 2 NaN NaN NaN NaN NaN NaN 9.699 4.829 1954 3 9.389 0.082 0 0 9.519 0.212 8.555 -0.980 1954 4 NaN NaN NaN NaN NaN NaN 19.314 3.534 1954 5 15.492 -4.581 1 0 NaN NaN 17.663 -2.638 1954 6 NaN NaN NaN NaN NaN NaN 26.224 1.339 1954 7 NaN NaN NaN NaN NaN NaN 31.950 4.214 1954 8 NaN NaN NaN NaN NaN NaN 30.206 3.192 1954 9 NaN NaN NaN NaN NaN NaN 25.972 3.150 1954 10 NaN NaN NaN NaN NaN NaN 18.230 1.715 1954 11 NaN NaN NaN NaN NaN NaN 10.354 0.938 1954 12 NaN NaN NaN NaN NaN NaN 5.352 1.059 1955 1 NaN NaN NaN NaN NaN NaN 3.514 1.627 1955 2 NaN NaN NaN NaN NaN NaN 4.464 -0.407 1955 3 NaN NaN NaN NaN NaN NaN 9.502 -0.033 1955 4 NaN NaN NaN NaN NaN NaN 18.453 2.672 1955 5 NaN NaN NaN NaN NaN NaN 21.192 0.891