% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27602 % Primary Name: DODSON 6 WNW % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.10000 +/- 0.00833 % Longitude: -92.76667 +/- 0.00833 % Elevation (m): 64.00 +/- 0.05 % # of Months: 103 % % IDs: coop - 162528 % ncdc - 20008984 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: df0a8f30943113b6800fa23811a7a42d % Raw Data Hash: ac6475ad1a082a79c2963a8689412266 % Adj Data Hash: 2ee9c407056ce54eb92ed112590c232e % % 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 1930 1 NaN NaN NaN NaN NaN NaN 7.857 -1.131 1930 2 NaN NaN NaN NaN NaN NaN 13.801 2.955 1930 3 NaN NaN NaN NaN NaN NaN 12.836 -1.966 1930 4 NaN NaN NaN NaN NaN NaN 20.481 1.167 1930 5 NaN NaN NaN NaN NaN NaN 23.127 -0.066 1930 6 NaN NaN NaN NaN NaN NaN 26.243 -0.349 1930 7 NaN NaN NaN NaN NaN NaN 28.787 0.833 1930 8 NaN NaN NaN NaN NaN NaN 27.707 0.102 1930 9 NaN NaN NaN NaN NaN NaN 25.521 0.455 1930 10 NaN NaN NaN NaN NaN NaN 18.263 -0.959 1930 11 NaN NaN NaN NaN NaN NaN 13.665 -0.268 1930 12 NaN NaN NaN NaN NaN NaN 8.259 -2.042 1931 1 9.222 0.212 0 0 8.594 -0.417 8.429 -0.559 1931 2 12.556 1.687 0 0 11.927 1.059 11.804 0.958 1931 3 11.667 -3.157 0 0 11.038 -3.786 11.453 -3.349 1931 4 17.722 -1.613 0 0 17.094 -2.242 17.295 -2.018 1931 5 20.722 -2.492 0 0 20.094 -3.121 20.387 -2.806 1931 6 27.667 1.053 0 0 27.038 0.425 26.702 0.110 1931 7 29.111 1.135 0 0 28.482 0.506 28.187 0.232 1931 8 27.667 0.040 0 0 27.038 -0.589 26.125 -1.480 1931 9 28.556 3.467 0 0 27.927 2.839 27.217 2.151 1931 10 23.000 3.757 0 0 22.371 3.128 21.638 2.416 1931 11 17.778 3.823 0 0 17.149 3.195 17.472 3.540 1931 12 12.222 1.899 0 0 11.594 1.270 13.116 2.815 1932 1 12.389 3.379 0 0 11.760 2.750 11.999 3.010 1932 2 15.667 4.798 0 0 15.038 4.170 15.585 4.739 1932 3 12.944 -1.879 0 0 12.316 -2.508 12.680 -2.122 1932 4 20.167 0.831 0 0 19.538 0.203 19.854 0.541 1932 5 22.667 -0.548 0 0 22.038 -1.176 22.229 -0.963 1932 6 28.556 1.942 0 0 27.927 1.314 27.816 1.225 1932 7 30.222 2.246 0 0 29.594 1.617 28.968 1.013 1932 8 29.722 2.095 0 0 29.094 1.467 28.157 0.552 1932 9 26.333 1.245 0 0 25.705 0.617 25.364 0.298 1932 10 19.222 -0.021 0 0 18.594 -0.650 17.894 -1.327 1932 11 11.333 -2.621 0 0 10.705 -3.250 11.309 -2.623 1932 12 8.278 -2.046 0 0 7.649 -2.674 9.246 -1.055 1933 1 12.056 3.045 0 4 11.958 2.948 12.568 3.580 1933 2 10.667 -0.202 0 0 10.569 -0.299 10.842 -0.005 1933 3 15.389 0.565 0 0 15.291 0.468 15.641 0.839 1933 4 18.611 -0.724 0 0 18.514 -0.822 18.931 -0.383 1933 5 25.167 1.952 0 0 25.069 1.855 25.021 1.829 1933 6 27.000 0.387 0 0 26.902 0.289 26.156 -0.435 1933 7 27.778 -0.199 0 0 27.680 -0.296 27.345 -0.609 1933 8 27.722 0.095 0 0 27.625 -0.002 27.419 -0.186 1933 9 27.111 2.023 0 0 27.014 1.925 27.523 2.457 1933 10 20.222 0.979 0 0 20.125 0.881 20.316 1.095 1933 11 15.778 1.823 0 0 15.680 1.726 15.396 1.464 1933 12 14.667 4.343 0 0 14.569 4.246 15.675 5.373 1934 1 10.778 1.768 0 0 10.680 1.670 10.617 1.628 1934 2 10.000 -0.868 0 0 9.902 -0.966 9.924 -0.923 1934 3 14.111 -0.712 0 0 14.014 -0.810 13.971 -0.831 1934 4 19.667 0.331 0 0 19.569 0.234 19.797 0.483 1934 5 22.222 -0.992 0 0 22.125 -1.090 22.526 -0.667 1934 6 27.667 1.053 0 0 27.569 0.956 27.983 1.392 1934 7 29.056 1.079 0 0 28.958 0.981 28.209 0.255 1934 8 29.500 1.873 0 0 29.402 1.776 28.537 0.932 1934 9 24.333 -0.755 0 0 24.236 -0.852 24.689 -0.377 1934 10 22.222 2.979 0 0 22.125 2.881 21.455 2.234 1934 11 15.000 1.046 0 0 14.902 0.948 15.498 1.565 1934 12 10.111 -0.212 0 0 10.014 -0.310 10.700 0.399 1935 1 10.722 1.712 0 0 10.625 1.614 10.855 1.867 1935 2 11.278 0.410 0 0 11.180 0.312 11.212 0.366 1935 3 18.444 3.621 0 0 18.347 3.523 18.320 3.519 1935 4 18.333 -1.002 0 0 18.236 -1.100 19.534 0.221 1935 5 22.556 -0.659 0 0 22.458 -0.757 22.992 -0.200 1935 6 26.167 -0.447 0 0 26.069 -0.544 26.406 -0.185 1935 7 28.833 0.857 0 0 28.736 0.759 28.151 0.197 1935 8 28.333 0.706 0 0 28.236 0.609 28.239 0.634 1935 9 24.722 -0.366 0 0 24.625 -0.464 24.730 -0.336 1935 10 21.278 2.035 0 0 21.180 1.937 20.882 1.660 1935 11 13.667 -0.288 0 0 13.569 -0.385 13.962 0.030 1935 12 NaN NaN NaN NaN NaN NaN 7.965 -2.336 1936 1 7.222 -1.788 0 0 7.125 -1.886 7.684 -1.304 1936 2 9.389 -1.479 0 0 9.291 -1.577 8.459 -2.387 1936 3 17.667 2.843 0 0 17.569 2.746 16.821 2.019 1936 4 19.000 -0.335 0 0 18.902 -0.433 18.194 -1.120 1936 5 23.222 0.008 0 0 23.125 -0.090 22.901 -0.291 1936 6 28.056 1.442 0 0 27.958 1.345 27.782 1.191 1936 7 27.889 -0.088 0 0 27.791 -0.185 27.553 -0.401 1936 8 29.556 1.929 0 0 29.458 1.831 28.444 0.839 1936 9 27.444 2.356 0 0 27.347 2.259 27.242 2.176 1936 10 19.056 -0.188 0 0 18.958 -0.285 18.738 -0.484 1936 11 NaN NaN NaN NaN NaN NaN 12.372 -1.561 1936 12 NaN NaN NaN NaN NaN NaN 10.998 0.697 1937 1 12.667 3.656 0 0 12.569 3.559 12.841 3.853 1937 2 11.444 0.576 0 0 11.347 0.479 10.805 -0.042 1937 3 12.222 -2.601 0 0 12.125 -2.699 12.316 -2.486 1937 4 18.667 -0.669 0 4 19.304 -0.031 18.808 -0.505 1937 5 23.333 0.119 0 0 23.971 0.757 23.384 0.192 1937 6 27.000 0.387 0 0 27.638 1.024 27.417 0.825 1937 7 27.222 -0.754 0 0 27.860 -0.116 27.640 -0.314 1937 8 27.500 -0.127 0 0 28.138 0.511 27.769 0.164 1937 9 24.000 -1.088 0 0 24.638 -0.450 24.978 -0.088 1937 10 17.556 -1.688 0 0 18.193 -1.050 18.514 -0.707 1937 11 11.333 -2.621 0 0 11.971 -1.983 12.196 -1.736 1937 12 9.889 -0.434 0 0 10.527 0.203 10.597 0.296 1938 1 9.944 0.934 0 0 10.582 1.572 10.052 1.063 1938 2 14.111 3.243 0 0 14.749 3.881 13.958 3.112 1938 3 18.444 3.621 0 0 19.082 4.259 18.858 4.056 1938 4 18.111 -1.224 0 0 18.749 -0.586 18.539 -0.775 1938 5 22.667 -0.548 0 0 23.304 0.090 23.211 0.018 1938 6 25.611 -1.002 0 0 26.249 -0.364 26.641 0.049 1938 7 27.500 -0.477 0 0 28.138 0.161 27.710 -0.245 1938 8 27.222 -0.405 0 0 27.860 0.233 27.636 0.031 1938 9 24.722 -0.366 0 0 25.360 0.272 25.167 0.101 1938 10 20.000 0.757 0 0 20.638 1.395 20.269 1.047 1938 11 12.944 -1.010 0 0 13.582 -0.372 13.490 -0.442 1938 12 9.444 -0.879 0 0 10.082 -0.241 10.409 0.107 1939 1 10.500 1.490 0 0 11.138 2.128 11.131 2.143 1939 2 11.333 0.465 0 0 11.971 1.103 12.078 1.231 1939 3 15.000 0.176 0 0 15.638 0.814 16.144 1.342 1939 4 17.444 -1.891 0 0 18.082 -1.253 18.435 -0.878 1939 5 22.056 -1.159 0 0 22.693 -0.521 22.684 -0.509 1939 6 26.444 -0.169 0 0 27.082 0.469 27.318 0.726 1939 7 28.000 0.023 0 0 28.638 0.661 28.220 0.266 1939 8 27.667 0.040 0 0 28.304 0.678 27.669 0.064 1939 9 26.222 1.134 0 0 26.860 1.772 26.847 1.780 1939 10 19.444 0.201 0 0 20.082 0.839 19.966 0.745 1939 11 NaN NaN NaN NaN NaN NaN 12.576 -1.357 1939 12 NaN NaN NaN NaN NaN NaN 12.033 1.732 1940 1 NaN NaN NaN NaN NaN NaN 2.197 -6.792 1940 2 NaN NaN NaN NaN NaN NaN 9.211 -1.636 1940 3 NaN NaN NaN NaN NaN NaN 15.117 0.315 1940 4 NaN NaN NaN NaN NaN NaN 18.458 -0.856 1940 5 NaN NaN NaN NaN NaN NaN 21.713 -1.480 1940 6 NaN NaN NaN NaN NaN NaN 25.901 -0.690 1940 7 NaN NaN NaN NaN NaN NaN 26.937 -1.018 1940 8 NaN NaN NaN NaN NaN NaN 26.264 -1.341 1940 9 NaN NaN NaN NaN NaN NaN 23.821 -1.245 1940 10 NaN NaN NaN NaN NaN NaN 19.562 0.341