% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29284 % Primary Name: TEMPLE OKC 29 % Record Type: TAVG % Country: United States % State: OK % Latitude: 34.26670 +/- 0.00005 % Longitude: -98.23330 +/- 0.00005 % Elevation (m): 307.85 +/- 0.15 % # of Months: 74 % % Alternate Names: Missing Station ID - 348763 % % IDs: coop - 348763 % ghcnd - USC00348763 % ncdc - 20014555 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 61c5ace14d5a7b9af42c005523feda90 % Raw Data Hash: 3db5cdf64fe9f25abc1ff6bc898517dc % Adj Data Hash: 5f5940687f7a970b412e1603589743c7 % % 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 1901 9 NaN NaN NaN NaN NaN NaN 23.761 -0.153 1901 10 NaN NaN NaN NaN NaN NaN 19.605 1.913 1901 11 NaN NaN NaN NaN NaN NaN 11.573 0.832 1901 12 NaN NaN NaN NaN NaN NaN 4.670 -1.344 1902 1 NaN NaN NaN NaN NaN NaN 3.121 -0.809 1902 2 NaN NaN NaN NaN NaN NaN 3.770 -3.063 1902 3 NaN NaN NaN NaN NaN NaN 11.415 0.112 1902 4 NaN NaN NaN NaN NaN NaN 17.732 0.744 1902 5 NaN NaN NaN NaN NaN NaN 21.877 0.551 1902 6 NaN NaN NaN NaN NaN NaN 26.626 0.742 1902 7 NaN NaN NaN NaN NaN NaN 26.902 -1.631 1902 8 NaN NaN NaN NaN NaN NaN 29.493 1.445 1902 9 20.300 -4.540 1 0 NaN NaN 20.862 -3.053 1902 10 17.027 -1.590 1 0 NaN NaN 17.608 -0.084 1902 11 12.751 1.085 1 0 NaN NaN 12.704 1.963 1902 12 4.819 -2.120 0 0 4.819 -2.120 3.984 -2.029 1903 1 5.759 0.904 0 0 5.759 0.904 4.290 0.361 1903 2 3.334 -4.425 0 0 3.334 -4.425 3.247 -3.586 1903 3 10.698 -1.530 0 0 10.698 -1.530 10.333 -0.970 1903 4 17.272 -0.643 0 0 17.272 -0.643 16.807 -0.181 1903 5 20.395 -1.856 0 0 20.395 -1.856 19.324 -2.002 1903 6 23.147 -3.663 0 0 23.147 -3.663 22.049 -3.835 1903 7 29.681 0.222 0 0 29.681 0.222 27.233 -1.299 1903 8 28.958 -0.016 0 0 28.958 -0.016 27.367 -0.681 1903 9 23.470 -1.370 0 0 23.470 -1.370 22.224 -1.691 1903 10 17.439 -1.178 0 0 17.439 -1.178 16.523 -1.168 1903 11 9.395 -2.271 0 0 9.395 -2.271 9.091 -1.650 1903 12 5.202 -1.737 0 0 5.202 -1.737 5.501 -0.512 1904 1 3.155 -1.700 0 0 3.155 -1.700 3.127 -0.802 1904 2 5.105 -2.654 0 0 5.105 -2.654 7.983 1.149 1904 3 11.689 -0.539 0 0 11.689 -0.539 14.395 3.092 1904 4 17.452 -0.463 0 0 17.452 -0.463 16.056 -0.933 1904 5 21.877 -0.374 0 0 21.877 -0.374 20.031 -1.295 1904 6 25.665 -1.144 0 0 25.665 -1.144 24.490 -1.394 1904 7 28.829 -0.629 0 0 28.829 -0.629 27.010 -1.523 1904 8 27.558 -1.416 0 0 27.558 -1.416 26.682 -1.366 1904 9 24.097 -0.744 0 0 24.097 -0.744 23.999 0.084 1904 10 18.273 -0.345 0 0 18.273 -0.345 18.250 0.559 1904 11 11.168 -0.498 0 0 11.168 -0.498 11.452 0.711 1904 12 6.165 -0.774 0 0 6.165 -0.774 5.776 -0.237 1905 1 1.173 -3.683 0 0 1.173 -3.683 -0.281 -4.210 1905 2 -1.795 -9.554 0 0 -1.795 -9.554 -1.322 -8.155 1905 3 15.000 2.771 0 0 15.000 2.771 13.944 2.642 1905 4 16.570 -1.344 0 0 16.570 -1.344 15.781 -1.208 1905 5 22.311 0.060 0 0 22.311 0.060 21.213 -0.113 1905 6 27.642 0.832 0 0 27.642 0.832 26.240 0.356 1905 7 26.810 -2.649 0 0 26.810 -2.649 25.480 -3.053 1905 8 28.177 -0.797 1 0 NaN NaN 27.322 -0.726 1905 9 25.058 0.218 0 0 25.058 0.218 24.499 0.584 1905 10 17.060 -1.557 0 0 17.060 -1.557 16.327 -1.364 1905 11 11.923 0.257 0 0 11.923 0.257 11.706 0.966 1905 12 3.965 -2.974 0 0 3.965 -2.974 3.797 -2.216 1906 1 7.132 2.277 0 0 7.132 2.277 5.171 1.242 1906 2 8.107 0.348 0 0 8.107 0.348 6.022 -0.812 1906 3 9.766 -2.463 0 0 9.766 -2.463 6.923 -4.380 1906 4 19.088 1.174 0 0 19.088 1.174 17.246 0.257 1906 5 21.713 -0.539 0 0 21.713 -0.539 20.530 -0.796 1906 6 24.758 -2.052 0 0 24.758 -2.052 24.457 -1.427 1906 7 25.870 -3.588 0 0 25.870 -3.588 25.143 -3.390 1906 8 26.638 -2.336 0 0 26.638 -2.336 25.524 -2.524 1906 9 24.310 -0.530 0 0 24.310 -0.530 23.757 -0.157 1906 10 15.181 -3.436 1 0 NaN NaN 14.810 -2.882 1906 11 NaN NaN NaN NaN NaN NaN 9.694 -1.046 1906 12 9.115 2.176 0 0 9.115 2.176 8.189 2.176 1907 1 8.381 3.526 0 0 8.381 3.526 7.570 3.641 1907 2 9.045 1.285 0 0 9.045 1.285 7.712 0.878 1907 3 17.715 5.486 1 0 NaN NaN 16.216 4.913 1907 4 17.032 -0.883 0 0 17.032 -0.883 14.057 -2.932 1907 5 19.522 -2.730 0 0 19.522 -2.730 16.961 -4.365 1907 6 27.850 1.041 1 0 NaN NaN 24.565 -1.318 1907 7 28.785 -0.673 0 0 28.785 -0.673 27.115 -1.417 1907 8 29.461 0.487 0 0 29.461 0.487 28.253 0.205 1907 9 26.183 1.342 0 0 26.183 1.342 24.499 0.584 1907 10 21.153 2.536 0 0 21.153 2.536 17.247 -0.444 1907 11 11.170 -0.496 1 0 NaN NaN 9.219 -1.522 1907 12 7.741 0.803 0 0 7.741 0.803 6.677 0.664 1908 1 7.474 2.619 0 0 7.474 2.619 5.805 1.876 1908 2 NaN NaN NaN NaN NaN NaN 7.021 0.188 1908 3 NaN NaN NaN NaN NaN NaN 14.191 2.889 1908 4 NaN NaN NaN NaN NaN NaN 16.578 -0.411 1908 5 23.606 1.354 1 0 NaN NaN 20.334 -0.992 1908 6 25.622 -1.188 0 0 25.622 -1.188 24.466 -1.418 1908 7 25.760 -3.699 0 0 25.760 -3.699 25.685 -2.848 1908 8 26.639 -2.335 1 0 NaN NaN 26.807 -1.241 1908 9 24.112 -0.729 0 0 24.112 -0.729 23.286 -0.628 1908 10 17.535 -1.082 0 0 17.535 -1.082 15.988 -1.703 1908 11 11.238 -0.428 0 0 11.238 -0.428 11.031 0.290 1908 12 7.727 0.789 0 0 7.727 0.789 7.538 1.525 1909 1 6.315 1.459 0 0 6.315 1.459 5.364 1.435 1909 2 NaN NaN NaN NaN NaN NaN 7.864 1.030 1909 3 10.958 -1.271 0 0 10.958 -1.271 10.783 -0.520 1909 4 NaN NaN NaN NaN NaN NaN 16.276 -0.712 1909 5 NaN NaN NaN NaN NaN NaN 20.228 -1.098 1909 6 NaN NaN NaN NaN NaN NaN 25.526 -0.357 1909 7 NaN NaN NaN NaN NaN NaN 29.510 0.977 1909 8 NaN NaN NaN NaN NaN NaN 28.996 0.948 1909 9 NaN NaN NaN NaN NaN NaN 24.222 0.308 1909 10 NaN NaN NaN NaN NaN NaN 17.848 0.157 1909 11 NaN NaN NaN NaN NaN NaN 14.417 3.676 1909 12 NaN NaN NaN NaN NaN NaN 1.110 -4.903 1910 1 NaN NaN NaN NaN NaN NaN 5.266 1.337 1910 2 NaN NaN NaN NaN NaN NaN 3.882 -2.951 1910 3 NaN NaN NaN NaN NaN NaN 16.002 4.699