% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31061 % Primary Name: NORRIS EVAP STN % Record Type: TAVG % Country: United States % State: TN % Latitude: 36.20000 +/- 0.00005 % Longitude: -84.08330 +/- 0.00005 % Elevation (m): 305.10 +/- 0.05 % # of Months: 70 % % IDs: coop - 406629 % ghcnd - USC00406629 % ncdc - 20018393 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: ed5acb84b2191dcf841aa7894bb5aab1 % Raw Data Hash: 8b272d3b615a30a3088739f9cc521baa % Adj Data Hash: 75fe68beff71a52bb569aaf5f880c212 % % 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 1947 1 NaN NaN NaN NaN NaN NaN 5.028 3.348 1947 2 NaN NaN NaN NaN NaN NaN -1.956 -5.269 1947 3 NaN NaN NaN NaN NaN NaN 3.170 -4.684 1947 4 NaN NaN NaN NaN NaN NaN 14.960 1.741 1947 5 NaN NaN NaN NaN NaN NaN 16.576 -1.202 1947 6 NaN NaN NaN NaN NaN NaN 21.385 -0.271 1947 7 NaN NaN NaN NaN NaN NaN 21.186 -2.405 1947 8 NaN NaN NaN NaN NaN NaN 24.306 1.079 1947 9 NaN NaN NaN NaN NaN NaN 21.138 1.015 1947 10 NaN NaN NaN NaN NaN NaN 16.383 3.013 1947 11 NaN NaN NaN NaN NaN NaN 7.382 -0.208 1947 12 NaN NaN NaN NaN NaN NaN 3.191 0.005 1948 1 -0.778 -2.938 0 0 -0.778 -2.938 -1.718 -3.398 1948 2 5.167 1.373 0 0 5.167 1.373 4.764 1.450 1948 3 11.444 3.110 0 0 11.444 3.110 10.455 2.600 1948 4 16.556 2.857 0 0 16.556 2.857 15.662 2.443 1948 5 18.222 -0.036 0 0 18.222 -0.036 17.183 -0.596 1948 6 23.111 0.975 0 0 23.111 0.975 22.150 0.495 1948 7 25.556 1.485 0 0 25.556 1.485 24.010 0.419 1948 8 23.833 0.126 0 0 23.833 0.126 22.359 -0.868 1948 9 21.278 0.674 0 0 21.278 0.674 20.174 0.050 1948 10 13.444 -0.405 0 0 13.444 -0.405 11.568 -1.802 1948 11 10.000 1.931 0 0 10.000 1.931 9.784 2.195 1948 12 5.889 2.223 0 0 5.889 2.223 4.562 1.376 1949 1 8.667 6.507 0 0 8.667 6.507 7.247 5.567 1949 2 7.722 3.929 0 0 7.722 3.929 6.675 3.361 1949 3 7.556 -0.779 0 0 7.556 -0.779 7.732 -0.123 1949 4 11.278 -2.421 0 0 11.278 -2.421 12.162 -1.057 1949 5 19.722 1.464 0 0 19.722 1.464 18.116 0.337 1949 6 22.111 -0.025 0 0 22.111 -0.025 22.572 0.916 1949 7 23.278 -0.793 0 0 23.278 -0.793 24.788 1.198 1949 8 21.556 -2.151 0 0 21.556 -2.151 22.973 -0.255 1949 9 16.444 -4.159 0 0 16.444 -4.159 18.341 -1.783 1949 10 16.611 2.761 0 0 16.611 2.761 16.357 2.987 1949 11 8.056 -0.014 0 0 8.056 -0.014 6.773 -0.816 1949 12 5.000 1.334 0 0 5.000 1.334 4.988 1.803 1950 1 8.056 5.896 0 0 8.056 5.896 8.752 7.071 1950 2 5.889 2.096 0 0 5.889 2.096 5.542 2.229 1950 3 6.778 -1.557 0 0 6.778 -1.557 6.499 -1.355 1950 4 12.111 -1.588 0 0 12.111 -1.588 11.501 -1.718 1950 5 19.944 1.686 0 0 19.944 1.686 18.933 1.155 1950 6 22.027 -0.109 0 0 22.027 -0.109 21.560 -0.096 1950 7 21.944 -2.126 0 0 21.944 -2.126 22.164 -1.427 1950 8 22.639 -1.068 0 0 22.639 -1.068 21.639 -1.588 1950 9 20.667 0.063 0 0 20.667 0.063 19.379 -0.744 1950 10 17.611 3.761 0 0 17.611 3.761 15.591 2.221 1950 11 6.995 -1.074 0 0 6.995 -1.074 5.116 -2.474 1950 12 1.000 -2.666 0 0 1.000 -2.666 0.432 -2.754 1951 1 3.389 1.229 0 0 3.389 1.229 3.130 1.450 1951 2 3.889 0.096 0 0 3.889 0.096 4.038 0.725 1951 3 8.111 -0.223 0 0 8.111 -0.223 8.069 0.214 1951 4 12.111 -1.588 0 0 12.111 -1.588 12.175 -1.044 1951 5 17.889 -0.370 0 0 17.889 -0.370 17.053 -0.726 1951 6 23.000 0.864 0 0 23.000 0.864 21.857 0.201 1951 7 24.611 0.541 0 0 24.611 0.541 23.634 0.043 1951 8 24.778 1.071 0 0 24.778 1.071 23.740 0.513 1951 9 21.444 0.841 0 0 21.444 0.841 20.456 0.332 1951 10 16.556 2.706 0 0 16.556 2.706 14.710 1.340 1951 11 5.500 -2.569 0 0 5.500 -2.569 5.069 -2.520 1951 12 3.889 0.223 0 0 3.889 0.223 4.501 1.315 1952 1 5.111 2.951 0 0 5.111 2.951 5.746 4.066 1952 2 6.222 2.429 0 0 6.222 2.429 5.147 1.834 1952 3 8.500 0.165 0 0 8.500 0.165 7.612 -0.243 1952 4 13.944 0.246 0 0 13.944 0.246 13.230 0.011 1952 5 19.000 0.742 0 0 19.000 0.742 17.961 0.183 1952 6 25.556 3.420 0 0 25.556 3.420 24.896 3.241 1952 7 26.000 1.929 0 0 26.000 1.929 24.850 1.260 1952 8 23.556 -0.151 0 0 23.556 -0.151 23.270 0.043 1952 9 20.444 -0.159 0 0 20.444 -0.159 19.461 -0.663 1952 10 13.056 -0.794 0 0 13.056 -0.794 10.771 -2.599 1952 11 8.278 0.208 0 0 8.278 0.208 7.106 -0.483 1952 12 4.667 1.001 0 0 4.667 1.001 3.536 0.350 1953 1 4.177 2.018 0 0 4.177 2.018 4.790 3.109 1953 2 5.508 1.715 0 0 5.508 1.715 4.509 1.196 1953 3 9.336 1.001 0 0 9.336 1.001 9.326 1.472 1953 4 12.604 -1.095 0 0 12.604 -1.095 12.096 -1.123 1953 5 20.655 2.396 0 0 20.655 2.396 19.880 2.101 1953 6 23.977 1.841 0 0 23.977 1.841 23.517 1.861 1953 7 22.294 -1.777 0 0 22.294 -1.777 23.475 -0.116 1953 8 21.250 -2.457 0 0 21.250 -2.457 23.319 0.092 1953 9 17.907 -2.697 0 0 17.907 -2.697 20.088 -0.035 1953 10 13.342 -0.508 0 0 13.342 -0.508 14.541 1.171 1953 11 NaN NaN NaN NaN NaN NaN 7.216 -0.374 1953 12 NaN NaN NaN NaN NaN NaN 2.591 -0.595 1954 1 NaN NaN NaN NaN NaN NaN 2.771 1.091 1954 2 NaN NaN NaN NaN NaN NaN 5.926 2.613 1954 3 NaN NaN NaN NaN NaN NaN 7.150 -0.704 1954 4 NaN NaN NaN NaN NaN NaN 16.242 3.023 1954 5 NaN NaN NaN NaN NaN NaN 14.821 -2.958 1954 6 NaN NaN NaN NaN NaN NaN 22.313 0.657 1954 7 NaN NaN NaN NaN NaN NaN 25.074 1.483 1954 8 NaN NaN NaN NaN NaN NaN 24.118 0.891 1954 9 NaN NaN NaN NaN NaN NaN 22.100 1.977 1954 10 NaN NaN NaN NaN NaN NaN 14.165 0.795