% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31436 % Primary Name: NORTH GRAND LAKE % Record Type: TAVG % Country: United States % State: OK % Latitude: 36.61670 +/- 0.00005 % Longitude: -94.86670 +/- 0.00005 % Elevation (m): 234.70 +/- 0.15 % # of Months: 49 % % Alternate Names: Missing Station ID - 346405 % % IDs: coop - 346405 % ghcnd - USC00346405 % ncdc - 12004222 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 77bca745c4ec1f43536f7df0d09ab997 % Raw Data Hash: 414a959faac2104b17ea47bcb3a35304 % Adj Data Hash: a33872693d6a39a7c8d554f06fa77a3a % % 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 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 NaN NaN NaN NaN NaN NaN 17.200 1.420 1942 5 18.732 -1.170 0 0 18.868 -1.034 19.095 -1.206 1942 6 24.475 -0.011 0 0 24.610 0.125 24.633 -0.252 1942 7 26.626 -0.711 0 0 26.761 -0.575 27.030 -0.706 1942 8 25.972 -0.642 0 0 26.108 -0.507 26.067 -0.947 1942 9 NaN NaN NaN NaN NaN NaN 21.322 -1.500 1942 10 16.197 0.081 0 0 16.332 0.217 16.402 -0.113 1942 11 11.603 2.587 0 0 11.739 2.722 11.334 1.919 1942 12 4.445 0.552 0 0 4.581 0.687 4.643 0.350 1943 1 2.544 1.056 0 0 2.679 1.191 1.981 0.094 1943 2 6.716 2.245 0 0 6.851 2.380 7.108 2.237 1943 3 6.126 -3.010 0 0 6.262 -2.874 6.265 -3.270 1943 4 16.288 0.907 0 0 16.424 1.043 17.355 1.574 1943 5 18.716 -1.186 0 0 18.852 -1.050 19.544 -0.757 1943 6 25.127 0.641 0 0 25.262 0.776 26.161 1.276 1943 7 29.932 2.596 0 0 30.068 2.731 28.978 1.242 1943 8 NaN NaN NaN NaN NaN NaN 29.986 2.972 1943 9 NaN NaN NaN NaN NaN NaN 21.596 -1.226 1943 10 14.771 -1.345 0 0 14.906 -1.209 15.285 -1.229 1943 11 8.494 -0.523 0 0 8.629 -0.387 9.081 -0.334 1943 12 2.161 -1.732 0 0 2.297 -1.597 2.542 -1.751 1944 1 4.055 2.567 0 0 4.190 2.702 3.025 1.138 1944 2 6.127 1.656 1 0 NaN NaN 6.461 1.591 1944 3 7.584 -1.552 0 0 7.719 -1.416 8.138 -1.397 1944 4 13.607 -1.775 0 0 13.742 -1.639 14.402 -1.378 1944 5 19.716 -0.186 0 0 19.852 -0.050 20.534 0.233 1944 6 24.685 0.199 0 0 24.820 0.335 25.961 1.076 1944 7 25.995 -1.341 0 0 26.131 -1.206 27.266 -0.470 1944 8 26.202 -0.413 0 0 26.337 -0.277 27.363 0.349 1944 9 21.277 -1.146 0 0 21.412 -1.011 22.205 -0.617 1944 10 16.882 0.767 0 0 17.018 0.902 17.709 1.194 1944 11 10.497 1.480 0 0 10.632 1.616 10.939 1.523 1944 12 1.490 -2.403 0 0 1.625 -2.268 2.035 -2.258 1945 1 2.165 0.677 0 0 2.300 0.812 2.462 0.575 1945 2 4.242 -0.229 0 0 4.377 -0.094 4.766 -0.105 1945 3 12.237 3.101 0 0 12.373 3.237 12.251 2.716 1945 4 14.472 -0.910 0 0 14.607 -0.774 15.207 -0.574 1945 5 17.019 -2.882 0 0 17.155 -2.747 18.559 -1.742 1945 6 21.778 -2.708 0 0 21.914 -2.572 23.464 -1.421 1945 7 24.085 -3.251 0 0 24.221 -3.116 25.883 -1.853 1945 8 NaN NaN NaN NaN NaN NaN 26.332 -0.682 1945 9 NaN NaN NaN NaN NaN NaN 22.716 -0.106 1945 10 NaN NaN NaN NaN NaN NaN 16.132 -0.383 1945 11 NaN NaN NaN NaN NaN NaN 10.931 1.515 1945 12 NaN NaN NaN NaN NaN NaN 1.291 -3.002 1946 1 NaN NaN NaN NaN NaN NaN 2.840 0.953 1946 2 NaN NaN NaN NaN NaN NaN 7.888 3.017 1946 3 NaN NaN NaN NaN NaN NaN 13.263 3.728 1946 4 NaN NaN NaN NaN NaN NaN 18.161 2.381 1946 5 18.865 -1.037 0 1 18.391 -1.511 18.061 -2.240 1946 6 24.331 -0.155 0 0 23.856 -0.629 24.428 -0.457 1946 7 28.352 1.015 0 0 27.877 0.541 28.452 0.717 1946 8 27.481 0.866 0 0 27.007 0.392 27.653 0.639 1946 9 23.285 0.862 0 0 22.811 0.388 22.661 -0.161 1946 10 18.490 2.375 0 0 18.016 1.901 18.645 2.130 1946 11 10.159 1.142 0 0 9.685 0.668 10.009 0.593 1946 12 7.783 3.890 0 0 7.309 3.416 7.780 3.488 1947 1 3.369 1.881 0 0 2.894 1.407 3.076 1.189 1947 2 1.248 -3.223 1 0 NaN NaN 1.996 -2.875 1947 3 5.814 -3.322 1 0 NaN NaN 5.831 -3.704 1947 4 14.453 -0.929 1 0 NaN NaN 15.408 -0.372 1947 5 18.094 -1.808 0 0 17.619 -2.282 18.648 -1.653 1947 6 NaN NaN NaN NaN NaN NaN 24.913 0.028 1947 7 NaN NaN NaN NaN NaN NaN 26.149 -1.587 1947 8 NaN NaN NaN NaN NaN NaN 29.712 2.698 1947 9 NaN NaN NaN NaN NaN NaN 24.844 2.022 1947 10 NaN NaN NaN NaN NaN NaN 20.664 4.149 1947 11 NaN NaN NaN NaN NaN NaN 7.859 -1.557 1947 12 NaN NaN NaN NaN NaN NaN 5.348 1.055 1948 1 NaN NaN NaN NaN NaN NaN -0.991 -2.878 1948 2 NaN NaN NaN NaN NaN NaN 3.248 -1.623 1948 3 NaN NaN NaN NaN NaN NaN 6.898 -2.637 1948 4 NaN NaN NaN NaN NaN NaN 19.045 3.264 1948 5 NaN NaN NaN NaN NaN NaN 19.853 -0.448