% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29447 % Primary Name: LEHIGH 4 SW % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.45443 +/- 0.02058 % Longitude: -96.24004 +/- 0.03171 % Elevation (m): 203.52 +/- 8.47 % # of Months: 104 % % Alternate Names: LEHIGH % % IDs: coop - 345108 % ghcnd - USC00345108 % ncdc - 20014578 % nws - LEHO2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 65986f1fb6503ae6cf42f69dd340d27e % Raw Data Hash: da0fe2522cfdd3c49b8ddde221d65679 % Adj Data Hash: e9f231bace4f6182f4169eaa833b8772 % % 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 1892 1 NaN NaN NaN NaN NaN NaN 1.151 -2.965 1892 2 NaN NaN NaN NaN NaN NaN 8.590 1.810 1892 3 NaN NaN NaN NaN NaN NaN 8.092 -3.006 1892 4 NaN NaN NaN NaN NaN NaN 16.254 -0.339 1892 5 NaN NaN NaN NaN NaN NaN 19.190 -1.642 1892 6 NaN NaN NaN NaN NaN NaN 24.462 -0.642 1892 7 NaN NaN NaN NaN NaN NaN 26.407 -1.291 1892 8 NaN NaN NaN NaN NaN NaN 25.579 -1.615 1892 9 NaN NaN NaN NaN NaN NaN 22.033 -1.341 1892 10 NaN NaN NaN NaN NaN NaN 17.349 0.092 1892 11 NaN NaN NaN NaN NaN NaN 9.973 -0.721 1892 12 NaN NaN NaN NaN NaN NaN 4.327 -1.777 1893 1 3.763 -1.113 0 0 3.763 -1.113 3.211 -0.905 1893 2 5.694 -1.845 0 0 5.694 -1.845 5.138 -1.641 1893 3 12.957 1.099 0 0 12.957 1.099 10.155 -0.943 1893 4 17.981 0.628 0 0 17.981 0.628 17.918 1.325 1893 5 21.458 -0.133 0 0 21.458 -0.133 19.444 -1.387 1893 6 24.907 -0.957 0 0 24.907 -0.957 24.411 -0.693 1893 7 27.574 -0.884 0 0 27.574 -0.884 27.148 -0.550 1893 8 25.179 -2.775 0 0 25.179 -2.775 24.811 -2.383 1893 9 24.240 0.106 0 0 24.240 0.106 23.816 0.442 1893 10 17.044 -0.974 0 0 17.044 -0.974 16.451 -0.807 1893 11 8.593 -2.862 0 0 8.593 -2.862 8.566 -2.129 1893 12 7.599 0.734 0 0 7.599 0.734 7.781 1.677 1894 1 5.573 0.697 0 0 5.573 0.697 5.033 0.917 1894 2 4.504 -3.036 0 0 4.504 -3.036 3.774 -3.005 1894 3 12.667 0.808 0 0 12.667 0.808 11.838 0.740 1894 4 18.278 0.924 0 0 18.278 0.924 17.557 0.963 1894 5 21.201 -0.391 0 0 21.201 -0.391 20.509 -0.322 1894 6 26.593 0.728 0 0 26.593 0.728 24.671 -0.433 1894 7 28.996 0.538 0 0 28.996 0.538 26.553 -1.145 1894 8 26.470 -1.485 0 0 26.470 -1.485 25.684 -1.510 1894 9 23.389 -0.745 0 0 23.389 -0.745 22.994 -0.380 1894 10 17.867 -0.150 0 0 17.867 -0.150 17.511 0.253 1894 11 11.093 -0.362 0 0 11.093 -0.362 10.367 -0.328 1894 12 6.918 0.053 0 0 6.918 0.053 6.841 0.737 1895 1 3.047 -1.830 0 0 3.047 -1.830 1.999 -2.117 1895 2 1.543 -5.996 0 0 1.543 -5.996 0.565 -6.215 1895 3 11.226 -0.632 0 0 11.226 -0.632 10.425 -0.673 1895 4 18.519 1.165 0 0 18.519 1.165 17.259 0.665 1895 5 19.695 -1.896 0 0 19.695 -1.896 19.898 -0.933 1895 6 24.222 -1.642 0 0 24.222 -1.642 24.404 -0.700 1895 7 26.505 -1.953 0 0 26.505 -1.953 25.917 -1.782 1895 8 26.918 -1.037 0 0 26.918 -1.037 26.362 -0.832 1895 9 26.130 1.995 0 0 26.130 1.995 25.133 1.759 1895 10 14.642 -3.376 0 0 14.642 -3.376 14.124 -3.134 1895 11 9.993 -1.462 0 0 9.993 -1.462 9.005 -1.690 1895 12 6.219 -0.645 0 0 6.219 -0.645 5.687 -0.417 1896 1 5.645 0.769 0 0 5.645 0.769 4.450 0.334 1896 2 7.976 0.437 0 0 7.976 0.437 6.883 0.104 1896 3 10.624 -1.234 0 0 10.624 -1.234 8.767 -2.331 1896 4 19.537 2.184 0 0 19.537 2.184 19.260 2.667 1896 5 24.418 2.826 0 0 24.418 2.826 23.093 2.261 1896 6 26.463 0.599 0 0 26.463 0.599 25.666 0.562 1896 7 29.452 0.993 0 0 29.452 0.993 28.300 0.602 1896 8 30.072 2.118 0 0 30.072 2.118 28.725 1.532 1896 9 24.636 0.502 0 0 24.636 0.502 23.543 0.169 1896 10 16.362 -1.656 0 0 16.362 -1.656 15.801 -1.456 1896 11 10.530 -0.925 0 0 10.530 -0.925 10.456 -0.238 1896 12 7.455 0.591 0 0 7.455 0.591 7.693 1.589 1897 1 2.724 -2.152 0 0 2.724 -2.152 2.493 -1.623 1897 2 7.798 0.259 0 0 7.798 0.259 7.571 0.792 1897 3 12.611 0.753 0 0 12.611 0.753 12.025 0.927 1897 4 16.047 -1.307 0 0 16.047 -1.307 16.065 -0.528 1897 5 19.857 -1.735 0 0 19.857 -1.735 19.528 -1.304 1897 6 24.593 -1.272 0 0 24.593 -1.272 24.973 -0.131 1897 7 28.190 -0.269 0 0 28.190 -0.269 27.931 0.233 1897 8 27.348 -0.607 0 0 27.348 -0.607 26.189 -1.005 1897 9 24.500 0.366 0 0 24.500 0.366 23.997 0.623 1897 10 19.713 1.695 0 0 19.713 1.695 19.292 2.035 1897 11 11.630 0.175 0 0 11.630 0.175 10.569 -0.126 1897 12 4.444 -2.420 0 0 4.444 -2.420 4.040 -2.064 1898 1 6.667 1.790 0 0 6.667 1.790 6.089 1.973 1898 2 8.571 1.032 0 0 8.571 1.032 7.748 0.969 1898 3 11.595 -0.263 0 0 11.595 -0.263 10.868 -0.230 1898 4 15.678 -1.675 0 0 15.678 -1.675 14.963 -1.630 1898 5 21.626 0.034 0 0 21.626 0.034 21.091 0.260 1898 6 25.503 -0.361 0 0 25.503 -0.361 25.098 -0.006 1898 7 27.435 -1.023 0 0 27.435 -1.023 26.420 -1.278 1898 8 26.456 -1.498 0 0 26.456 -1.498 25.894 -1.300 1898 9 24.275 0.141 0 0 24.275 0.141 23.639 0.265 1898 10 16.745 -1.273 0 0 16.745 -1.273 15.840 -1.418 1898 11 8.413 -3.042 0 0 8.413 -3.042 8.240 -2.455 1898 12 2.710 -4.154 0 0 2.710 -4.154 3.121 -2.983 1899 1 3.666 -1.210 0 0 3.666 -1.210 3.197 -0.919 1899 2 -0.671 -8.211 0 0 -0.671 -8.211 -0.478 -7.257 1899 3 10.537 -1.321 0 0 10.537 -1.321 9.664 -1.434 1899 4 16.303 -1.050 0 0 16.303 -1.050 15.703 -0.890 1899 5 23.316 1.725 0 0 23.316 1.725 22.331 1.499 1899 6 25.923 0.059 0 0 25.923 0.059 24.920 -0.184 1899 7 27.419 -1.039 0 0 27.419 -1.039 26.485 -1.214 1899 8 30.840 2.886 0 0 30.840 2.886 29.270 2.076 1899 9 24.043 -0.091 0 0 24.043 -0.091 22.633 -0.741 1899 10 18.417 0.400 1 0 NaN NaN 19.268 2.011 1899 11 13.062 1.607 0 0 13.062 1.607 12.142 1.448 1899 12 6.011 -0.853 0 0 6.011 -0.853 5.284 -0.820 1900 1 6.640 1.764 0 0 6.640 1.764 5.501 1.385 1900 2 5.471 -2.068 0 0 5.471 -2.068 4.644 -2.136 1900 3 11.915 0.056 0 0 11.915 0.056 10.437 -0.661 1900 4 17.902 0.548 0 0 17.902 0.548 16.718 0.125 1900 5 21.369 -0.222 0 0 21.369 -0.222 19.916 -0.915 1900 6 27.002 1.138 1 0 NaN NaN 25.243 0.139 1900 7 27.202 -1.257 0 0 27.202 -1.257 26.050 -1.649 1900 8 28.211 0.257 0 0 28.211 0.257 27.156 -0.038 1900 9 26.440 2.306 0 0 26.440 2.306 25.367 1.993 1900 10 19.773 1.755 0 0 19.773 1.755 18.947 1.689 1900 11 12.622 1.167 0 0 12.622 1.167 11.510 0.815 1900 12 7.576 0.712 0 0 7.576 0.712 7.200 1.096 1901 1 8.216 3.340 0 0 8.216 3.340 6.562 2.446 1901 2 5.182 -2.357 0 0 5.182 -2.357 4.436 -2.343 1901 3 11.761 -0.097 0 0 11.761 -0.097 9.962 -1.136 1901 4 15.322 -2.032 0 0 15.322 -2.032 14.635 -1.958 1901 5 21.182 -0.409 0 0 21.182 -0.409 19.972 -0.860 1901 6 24.734 -1.130 1 0 NaN NaN 25.862 0.758 1901 7 29.742 1.283 0 0 29.742 1.283 29.000 1.301 1901 8 28.087 0.133 1 0 NaN NaN 27.103 -0.091 1901 9 NaN NaN NaN NaN NaN NaN 22.765 -0.609 1901 10 NaN NaN NaN NaN NaN NaN 18.494 1.236 1901 11 NaN NaN NaN NaN NaN NaN 10.865 0.170 1901 12 NaN NaN NaN NaN NaN NaN 4.178 -1.926 1902 1 NaN NaN NaN NaN NaN NaN 2.765 -1.351 1902 2 NaN NaN NaN NaN NaN NaN 2.967 -3.812 1902 3 NaN NaN NaN NaN NaN NaN 11.038 -0.060 1902 4 NaN NaN NaN NaN NaN NaN 17.141 0.548 1902 5 NaN NaN NaN NaN NaN NaN 22.081 1.250 1902 6 NaN NaN NaN NaN NaN NaN 25.618 0.514 1902 7 NaN NaN NaN NaN NaN NaN 26.146 -1.552 1902 8 NaN NaN NaN NaN NaN NaN 27.908 0.715