% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31013 % Primary Name: LAKE C BLACKWELL % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.15000 +/- 0.00005 % Longitude: -97.18330 +/- 0.00005 % Elevation (m): 289.90 +/- 0.05 % # of Months: 120 % % IDs: coop - 344969 % ghcnd - USC00344969 % ncdc - 20014918 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 17d0fb4a02d9840bbbc678ad069b4c2d % Raw Data Hash: f2b6aec1cca8739f27a69a38367894c1 % Adj Data Hash: 0af19cdaf946f1a171d58019cc2f8c9f % % 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 1940 8 NaN NaN NaN NaN NaN NaN 26.152 -1.508 1940 9 NaN NaN NaN NaN NaN NaN 22.416 -0.690 1940 10 NaN NaN NaN NaN NaN NaN 19.776 3.023 1940 11 NaN NaN NaN NaN NaN NaN 7.248 -1.883 1940 12 NaN NaN NaN NaN NaN NaN 5.445 1.583 1941 1 NaN NaN NaN NaN NaN NaN 3.872 2.250 1941 2 NaN NaN NaN NaN NaN NaN 3.930 -0.710 1941 3 NaN NaN NaN NaN NaN NaN 6.619 -2.700 1941 4 NaN NaN NaN NaN NaN NaN 15.820 0.268 1941 5 NaN NaN NaN NaN NaN NaN 21.319 0.896 1941 6 NaN NaN NaN NaN NaN NaN 23.948 -1.554 1941 7 NaN NaN NaN NaN NaN NaN 27.909 -0.469 1941 8 27.840 0.489 1 0 NaN NaN 27.728 0.068 1941 9 23.167 0.370 0 0 23.193 0.397 23.477 0.371 1941 10 17.556 1.112 0 0 17.582 1.139 17.799 1.047 1941 11 9.579 0.758 0 0 9.605 0.784 9.331 0.201 1941 12 5.699 2.146 0 0 5.725 2.173 6.252 2.389 1942 1 1.595 0.283 0 0 1.621 0.310 1.675 0.053 1942 2 3.294 -1.037 0 0 3.320 -1.010 3.787 -0.853 1942 3 9.462 0.452 0 0 9.489 0.479 9.407 0.088 1942 4 16.481 1.239 0 0 16.508 1.266 16.748 1.196 1942 5 NaN NaN NaN NaN NaN NaN 19.286 -1.137 1942 6 24.204 -0.988 0 0 24.230 -0.962 24.910 -0.592 1942 7 26.703 -1.366 0 0 26.729 -1.339 27.708 -0.670 1942 8 25.556 -1.795 0 0 25.582 -1.768 26.461 -1.199 1942 9 20.778 -2.019 0 0 20.804 -1.992 21.423 -1.684 1942 10 16.398 -0.045 0 0 16.424 -0.019 16.708 -0.045 1942 11 10.920 2.099 0 0 10.946 2.125 10.626 1.496 1942 12 4.265 0.713 0 0 4.292 0.739 3.947 0.085 1943 1 1.953 0.642 0 0 1.980 0.668 1.765 0.144 1943 2 7.675 3.344 0 0 7.701 3.371 7.514 2.874 1943 3 6.183 -2.827 0 0 6.209 -2.801 6.263 -3.057 1943 4 17.817 2.575 0 0 17.844 2.602 17.743 2.191 1943 5 18.513 -1.601 0 0 18.539 -1.574 18.294 -2.129 1943 6 26.444 1.252 0 0 26.471 1.279 26.613 1.112 1943 7 28.638 0.570 0 0 28.664 0.596 29.039 0.661 1943 8 30.520 3.169 0 0 30.546 3.196 30.760 3.100 1943 9 22.222 -0.574 0 0 22.249 -0.548 22.567 -0.539 1943 10 15.914 -0.529 0 0 15.940 -0.503 16.030 -0.723 1943 11 10.758 1.937 1 0 NaN NaN 9.016 -0.114 1943 12 1.705 -1.848 0 0 1.731 -1.821 1.964 -1.898 1944 1 2.778 1.466 0 0 2.804 1.493 2.906 1.285 1944 2 6.054 1.723 0 0 6.080 1.750 6.157 1.517 1944 3 8.154 -0.856 0 0 8.181 -0.829 7.414 -1.905 1944 4 NaN NaN NaN NaN NaN NaN 13.779 -1.773 1944 5 NaN NaN NaN NaN NaN NaN 20.374 -0.049 1944 6 NaN NaN NaN NaN NaN NaN 26.503 1.001 1944 7 NaN NaN NaN NaN NaN NaN 27.561 -0.816 1944 8 NaN NaN NaN NaN NaN NaN 28.290 0.630 1944 9 NaN NaN NaN NaN NaN NaN 22.637 -0.469 1944 10 NaN NaN NaN NaN NaN NaN 17.813 1.060 1944 11 NaN NaN NaN NaN NaN NaN 10.742 1.612 1944 12 2.222 -1.330 0 0 2.249 -1.304 2.293 -1.569 1945 1 3.100 1.789 0 0 3.127 1.815 2.741 1.119 1945 2 3.770 -0.561 0 0 3.796 -0.534 4.174 -0.466 1945 3 11.778 2.768 0 0 11.804 2.794 11.573 2.253 1945 4 13.593 -1.650 0 0 13.619 -1.623 13.876 -1.676 1945 5 18.278 -1.836 0 0 18.304 -1.809 18.691 -1.732 1945 6 22.421 -2.772 0 0 22.447 -2.745 23.752 -1.750 1945 7 25.358 -2.710 0 0 25.385 -2.683 26.377 -2.001 1945 8 26.379 -0.972 0 0 26.405 -0.945 27.107 -0.553 1945 9 21.389 -1.408 0 0 21.415 -1.381 22.587 -0.519 1945 10 15.717 -0.726 0 0 15.743 -0.700 16.420 -0.332 1945 11 10.667 1.846 0 0 10.693 1.872 10.877 1.746 1945 12 -0.072 -3.624 0 0 -0.045 -3.598 1.209 -2.653 1946 1 2.387 1.075 0 0 2.413 1.102 2.737 1.116 1946 2 7.333 3.003 0 0 7.360 3.029 7.991 3.351 1946 3 13.257 4.247 0 0 13.283 4.273 12.814 3.494 1946 4 17.333 2.091 0 0 17.360 2.118 17.984 2.432 1946 5 18.065 -2.048 0 0 18.092 -2.022 18.140 -2.283 1946 6 22.735 -2.457 1 0 NaN NaN 25.245 -0.257 1946 7 28.778 0.710 1 0 NaN NaN 29.041 0.663 1946 8 27.241 -0.109 0 0 27.268 -0.082 28.187 0.527 1946 9 21.054 -1.743 0 0 21.080 -1.716 22.224 -0.882 1946 10 17.545 1.102 0 0 17.571 1.128 18.415 1.662 1946 11 8.593 -0.228 0 0 8.619 -0.202 9.508 0.377 1946 12 5.950 2.397 0 0 5.976 2.424 7.096 3.234 1947 1 3.111 1.799 0 0 3.138 1.826 2.396 0.774 1947 2 1.448 -2.882 0 0 1.475 -2.856 2.443 -2.197 1947 3 6.577 -2.433 0 0 6.604 -2.406 6.313 -3.006 1947 4 14.093 -1.150 0 0 14.119 -1.123 14.520 -1.032 1947 5 18.389 -1.724 0 0 18.415 -1.698 18.642 -1.781 1947 6 25.500 0.308 0 0 25.526 0.334 25.491 -0.011 1947 7 25.722 -2.346 0 1 25.694 -2.374 27.085 -1.293 1947 8 29.000 1.650 0 0 28.972 1.621 29.769 2.109 1947 9 24.333 1.537 0 0 24.305 1.508 25.346 2.240 1947 10 20.778 4.335 0 0 20.749 4.306 21.439 4.686 1947 11 7.528 -1.293 0 0 7.499 -1.321 7.459 -1.672 1947 12 4.556 1.003 0 0 4.527 0.975 4.813 0.951 1948 1 -0.944 -2.256 0 0 -0.973 -2.285 -0.811 -2.432 1948 2 1.556 -2.775 0 0 1.527 -2.803 2.222 -2.418 1948 3 5.444 -3.566 0 0 5.416 -3.594 5.923 -3.396 1948 4 18.389 3.147 0 0 18.360 3.118 19.017 3.465 1948 5 20.056 -0.058 0 0 20.027 -0.086 20.330 -0.093 1948 6 24.833 -0.359 0 0 24.805 -0.387 25.865 0.363 1948 7 26.278 -1.790 0 0 26.249 -1.819 27.581 -0.797 1948 8 26.000 -1.350 0 0 25.972 -1.379 26.645 -1.015 1948 9 NaN NaN NaN NaN NaN NaN 23.611 0.504 1948 10 15.500 -0.943 0 0 15.472 -0.972 16.667 -0.085 1948 11 8.556 -0.265 0 0 8.527 -0.294 8.509 -0.621 1948 12 5.056 1.503 0 0 5.027 1.475 5.424 1.562 1949 1 -1.944 -3.256 0 0 -1.973 -3.285 -2.194 -3.816 1949 2 2.944 -1.386 0 0 2.916 -1.414 3.512 -1.129 1949 3 8.056 -0.954 0 0 8.027 -0.983 8.556 -0.764 1949 4 14.278 -0.965 0 0 14.249 -0.993 14.964 -0.588 1949 5 21.000 0.887 0 0 20.972 0.858 21.061 0.638 1949 6 25.333 0.141 0 0 25.305 0.113 26.088 0.586 1949 7 27.444 -0.624 0 0 27.416 -0.652 28.406 0.028 1949 8 25.222 -2.128 0 0 25.194 -2.157 25.983 -1.677 1949 9 20.056 -2.741 0 0 20.027 -2.769 20.399 -2.707 1949 10 16.278 -0.165 0 0 16.249 -0.194 16.823 0.071 1949 11 11.667 2.846 0 0 11.638 2.818 11.644 2.514 1949 12 4.722 1.170 0 0 4.694 1.141 4.892 1.030 1950 1 1.889 0.577 0 0 1.860 0.549 2.081 0.459 1950 2 5.167 0.836 0 0 5.138 0.808 6.449 1.809 1950 3 7.389 -1.621 0 0 7.360 -1.650 8.102 -1.218 1950 4 14.333 -0.909 0 0 14.305 -0.937 14.763 -0.789 1950 5 19.556 -0.558 0 0 19.527 -0.586 20.157 -0.266 1950 6 24.444 -0.748 0 0 24.416 -0.776 25.343 -0.159 1950 7 24.700 -3.368 1 0 NaN NaN 24.920 -3.458 1950 8 24.056 -3.295 0 0 24.027 -3.323 24.620 -3.040 1950 9 21.056 -1.741 0 0 21.027 -1.769 21.366 -1.740 1950 10 19.278 2.835 0 0 19.249 2.806 19.895 3.142 1950 11 7.333 -1.487 0 0 7.305 -1.516 7.809 -1.321 1950 12 1.163 -2.390 1 0 NaN NaN 3.393 -0.469 1951 1 3.278 1.966 0 0 3.249 1.938 2.679 1.057 1951 2 5.611 1.281 0 0 5.583 1.252 5.385 0.744 1951 3 9.000 -0.010 0 0 8.972 -0.038 7.857 -1.463 1951 4 14.500 -0.742 0 0 14.472 -0.771 13.992 -1.560 1951 5 19.889 -0.224 0 0 19.860 -0.253 19.698 -0.725 1951 6 NaN NaN NaN NaN NaN NaN 24.125 -1.377 1951 7 26.752 -1.316 1 0 NaN NaN 28.032 -0.345 1951 8 NaN NaN NaN NaN NaN NaN 29.299 1.640 1951 9 22.611 -0.185 0 0 22.583 -0.214 22.111 -0.995 1951 10 17.222 0.779 0 0 17.194 0.751 16.982 0.229 1951 11 6.944 -1.876 0 0 6.916 -1.905 6.042 -3.088 1951 12 9.628 6.075 1 0 NaN NaN 4.188 0.326 1952 1 6.889 5.577 0 0 6.860 5.549 5.745 4.123 1952 2 8.556 4.225 0 0 8.527 4.197 7.125 2.485 1952 3 8.444 -0.566 0 0 8.416 -0.594 7.271 -2.048 1952 4 13.778 -1.465 0 0 13.749 -1.493 13.640 -1.912 1952 5 20.167 0.053 0 0 20.138 0.025 20.049 -0.374 1952 6 27.556 2.363 0 0 27.527 2.335 28.483 2.982 1952 7 27.278 -0.790 0 0 27.249 -0.819 28.368 -0.010 1952 8 NaN NaN NaN NaN NaN NaN 29.322 1.662 1952 9 NaN NaN NaN NaN NaN NaN 23.422 0.316 1952 10 NaN NaN NaN NaN NaN NaN 15.496 -1.257 1952 11 NaN NaN NaN NaN NaN NaN 8.532 -0.598 1952 12 NaN NaN NaN NaN NaN NaN 3.308 -0.554 1953 1 NaN NaN NaN NaN NaN NaN 4.866 3.245 1953 2 NaN NaN NaN NaN NaN NaN 6.679 2.039 1953 3 NaN NaN NaN NaN NaN NaN 11.525 2.205 1953 4 NaN NaN NaN NaN NaN NaN 13.577 -1.975 1953 5 NaN NaN NaN NaN NaN NaN 20.139 -0.284 1953 6 NaN NaN NaN NaN NaN NaN 29.775 4.273 1953 7 NaN NaN NaN NaN NaN NaN 26.974 -1.404