% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30451 % Primary Name: BREEDENTON 2 NW % Record Type: TAVG % Country: United States % State: TN % Latitude: 35.55000 +/- 0.00500 % Longitude: -84.80000 +/- 0.00500 % Elevation (m): 259.10 +/- 0.05 % # of Months: 69 % % IDs: coop - 401035 % ghcnd - USC00401035 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: 69e9e86cbce741a30621c46ff81abfba % Raw Data Hash: 40e76db0e6b8daa08f1528f192dfb1bc % Adj Data Hash: c55ce6e3e603640f3b2be74b3c0639eb % % 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 1945 6 NaN NaN NaN NaN NaN NaN 21.963 -0.436 1945 7 NaN NaN NaN NaN NaN NaN 23.662 -0.660 1945 8 NaN NaN NaN NaN NaN NaN 23.607 -0.280 1945 9 NaN NaN NaN NaN NaN NaN 22.627 1.948 1945 10 NaN NaN NaN NaN NaN NaN 13.230 -0.788 1945 11 NaN NaN NaN NaN NaN NaN 9.314 1.091 1945 12 NaN NaN NaN NaN NaN NaN 0.395 -3.356 1946 1 NaN NaN NaN NaN NaN NaN 2.588 0.816 1946 2 NaN NaN NaN NaN NaN NaN 4.669 1.174 1946 3 NaN NaN NaN NaN NaN NaN 13.003 4.780 1946 4 NaN NaN NaN NaN NaN NaN 15.568 1.655 1946 5 NaN NaN NaN NaN NaN NaN 17.293 -1.117 1946 6 21.778 -1.099 0 0 22.203 -0.674 22.197 -0.202 1946 7 24.389 -0.412 0 0 24.814 0.013 24.301 -0.021 1946 8 22.556 -1.810 0 0 22.981 -1.385 21.633 -2.255 1946 9 19.722 -1.434 0 0 20.147 -1.010 20.117 -0.562 1946 10 14.556 0.060 0 0 14.981 0.485 14.808 0.790 1946 11 11.611 2.911 0 0 12.036 3.336 11.217 2.994 1946 12 5.778 1.549 0 0 6.203 1.974 6.235 2.484 1947 1 5.333 3.084 0 0 5.758 3.509 4.759 2.987 1947 2 -0.667 -4.639 0 0 -0.242 -4.214 -2.212 -5.706 1947 3 4.056 -4.645 0 0 4.481 -4.220 3.381 -4.842 1947 4 15.111 0.720 0 0 15.536 1.145 15.072 1.158 1947 5 17.111 -1.777 0 0 17.536 -1.352 16.618 -1.792 1947 6 21.500 -1.377 0 0 21.925 -0.952 21.922 -0.477 1947 7 21.722 -3.078 0 0 22.147 -2.653 21.570 -2.753 1947 8 25.000 0.635 0 0 25.425 1.060 25.479 1.592 1947 9 21.333 0.177 0 0 21.758 0.602 21.767 1.088 1947 10 17.167 2.671 0 0 17.592 3.096 17.386 3.368 1947 11 7.667 -1.034 0 0 8.092 -0.609 7.580 -0.643 1947 12 3.667 -0.562 0 0 4.092 -0.137 4.030 0.279 1948 1 -0.722 -2.971 0 0 -0.297 -2.546 -2.349 -4.120 1948 2 5.778 1.805 0 0 6.203 2.230 4.321 0.826 1948 3 10.833 2.133 0 0 11.258 2.558 10.337 2.114 1948 4 15.889 1.498 0 0 16.314 1.923 16.061 2.147 1948 5 17.778 -1.110 0 0 18.203 -0.685 17.351 -1.059 1948 6 22.833 -0.044 0 0 23.258 0.381 23.109 0.709 1948 7 24.556 -0.245 0 0 24.981 0.180 24.552 0.229 1948 8 22.833 -1.532 0 0 23.258 -1.107 23.026 -0.862 1948 9 20.000 -1.157 0 0 20.425 -0.732 20.722 0.043 1948 10 12.000 -2.496 0 0 12.425 -2.071 12.571 -1.447 1948 11 9.611 0.911 0 0 10.036 1.336 10.133 1.910 1948 12 5.222 0.993 0 0 5.647 1.418 5.418 1.667 1949 1 7.500 5.251 0 0 7.925 5.676 6.758 4.987 1949 2 7.944 3.972 0 0 8.369 4.397 6.072 2.578 1949 3 7.667 -1.034 0 0 8.092 -0.609 8.266 0.043 1949 4 12.056 -2.336 0 0 12.481 -1.911 12.699 -1.215 1949 5 18.278 -0.610 0 0 18.703 -0.185 18.967 0.557 1949 6 22.278 -0.599 0 0 22.703 -0.174 23.249 0.849 1949 7 25.278 0.477 0 0 25.703 0.902 25.313 0.991 1949 8 23.611 -0.754 0 0 24.036 -0.329 23.250 -0.638 1949 9 18.389 -2.768 0 0 18.814 -2.343 18.752 -1.927 1949 10 17.667 3.171 0 4 17.060 2.564 16.612 2.595 1949 11 8.556 -0.145 0 0 7.948 -0.752 7.648 -0.575 1949 12 6.278 2.049 0 0 5.671 1.442 5.624 1.873 1950 1 11.333 9.084 0 0 10.726 8.477 8.455 6.684 1950 2 8.222 4.250 0 0 7.615 3.643 5.326 1.831 1950 3 2.667 -6.034 0 0 2.060 -6.641 6.874 -1.349 1950 4 13.278 -1.113 0 0 12.671 -1.720 11.773 -2.140 1950 5 20.722 1.834 0 0 20.115 1.227 19.776 1.365 1950 6 22.778 -0.099 0 0 22.171 -0.707 22.110 -0.289 1950 7 23.389 -1.412 0 0 22.782 -2.019 22.592 -1.730 1950 8 22.444 -1.921 0 0 21.837 -2.528 21.640 -2.247 1950 9 20.111 -1.046 0 0 19.504 -1.653 19.549 -1.130 1950 10 17.000 2.504 0 0 16.393 1.897 16.429 2.411 1950 11 6.889 -1.812 0 0 6.282 -2.419 5.207 -3.015 1950 12 2.667 -1.562 0 0 2.060 -2.169 0.580 -3.171 1951 1 5.389 3.140 0 0 4.782 2.533 3.208 1.437 1951 2 6.722 2.750 0 0 6.115 2.143 4.131 0.637 1951 3 10.444 1.744 0 0 9.837 1.137 8.352 0.129 1951 4 13.556 -0.836 0 0 12.948 -1.443 12.313 -1.600 1951 5 18.389 -0.499 0 0 17.782 -1.106 17.847 -0.564 1951 6 23.222 0.345 0 0 22.615 -0.262 22.959 0.559 1951 7 25.056 0.255 0 0 24.448 -0.352 24.586 0.264 1951 8 25.278 0.912 0 0 24.671 0.305 24.856 0.968 1951 9 21.611 0.454 0 0 21.004 -0.153 20.973 0.294 1951 10 16.556 2.060 0 0 15.948 1.453 15.221 1.203 1951 11 6.722 -1.978 0 0 6.115 -2.585 5.273 -2.950 1951 12 5.833 1.604 0 0 5.226 0.997 5.301 1.549 1952 1 8.073 5.823 0 0 7.465 5.216 5.706 3.935 1952 2 7.370 3.397 1 0 NaN NaN 5.369 1.874 1952 3 NaN NaN NaN NaN NaN NaN 7.931 -0.292 1952 4 NaN NaN NaN NaN NaN NaN 13.524 -0.389 1952 5 NaN NaN NaN NaN NaN NaN 18.683 0.273 1952 6 NaN NaN NaN NaN NaN NaN 26.021 3.621 1952 7 NaN NaN NaN NaN NaN NaN 25.873 1.550 1952 8 NaN NaN NaN NaN NaN NaN 24.833 0.946 1952 9 NaN NaN NaN NaN NaN NaN 20.013 -0.666 1952 10 NaN NaN NaN NaN NaN NaN 10.694 -3.324 1952 11 NaN NaN NaN NaN NaN NaN 8.026 -0.197 1952 12 NaN NaN NaN NaN NaN NaN 4.224 0.473 1953 1 NaN NaN NaN NaN NaN NaN 5.542 3.771 1953 2 NaN NaN NaN NaN NaN NaN 4.758 1.263