% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34963 % Primary Name: WATSON 3 SW % Record Type: TAVG % Country: United States % State: UT % Latitude: 39.85000 +/- 0.00833 % Longitude: -109.18333 +/- 0.00833 % Elevation (m): 1894.00 +/- 0.05 % # of Months: 89 % % IDs: coop - 429322 % ncdc - 20026279 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 209fe559251d4dde79e99a27bbb45a0a % Raw Data Hash: fd91106ca4de8e4979b88cf6da7b7e38 % Adj Data Hash: 257203307c32b4f44ee6b4f0c028eaa0 % % 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 -10.020 -3.642 1930 2 NaN NaN NaN NaN NaN NaN -2.174 0.582 1930 3 NaN NaN NaN NaN NaN NaN 0.648 -0.779 1930 4 NaN NaN NaN NaN NaN NaN 9.236 2.771 1930 5 NaN NaN NaN NaN NaN NaN 10.364 -1.733 1930 6 NaN NaN NaN NaN NaN NaN 16.866 -0.517 1930 7 NaN NaN NaN NaN NaN NaN 21.080 0.009 1930 8 NaN NaN NaN NaN NaN NaN 19.490 0.011 1930 9 NaN NaN NaN NaN NaN NaN 14.005 -0.759 1930 10 NaN NaN NaN NaN NaN NaN 7.545 -0.727 1930 11 NaN NaN NaN NaN NaN NaN -1.138 -1.660 1930 12 NaN NaN NaN NaN NaN NaN -7.889 -2.643 1931 1 -11.611 -5.817 0 0 -10.165 -4.370 -7.135 -0.757 1931 2 -3.500 -1.328 0 0 -2.154 0.018 -0.083 2.673 1931 3 0.222 -1.789 0 0 1.510 -0.501 -0.113 -1.540 1931 4 5.889 -1.159 0 0 7.275 0.227 7.088 0.624 1931 5 8.944 -3.736 0 0 10.654 -2.027 10.980 -1.117 1931 6 18.389 0.423 0 0 20.357 2.391 18.566 1.184 1931 7 NaN NaN NaN NaN NaN NaN 22.310 1.239 1931 8 18.000 -2.063 0 0 20.020 -0.043 19.753 0.274 1931 9 16.111 0.763 0 0 18.411 3.063 15.644 0.879 1931 10 8.667 -0.189 0 0 11.149 2.293 9.454 1.182 1931 11 -1.778 -2.884 0 0 0.440 -0.666 -1.198 -1.720 1931 12 -10.000 -5.338 0 0 -8.263 -3.601 -8.821 -3.575 1932 1 -9.167 -3.372 0 0 -7.720 -1.926 -9.763 -3.385 1932 2 -4.611 -2.439 0 0 -3.265 -1.094 -1.599 1.156 1932 3 -4.333 -6.344 0 0 -3.046 -5.057 -0.417 -1.844 1932 4 3.778 -3.271 0 0 5.164 -1.884 6.441 -0.024 1932 5 10.222 -2.458 0 0 11.932 -0.749 12.197 0.100 1932 6 14.056 -3.911 0 0 16.024 -1.942 15.906 -1.477 1932 7 19.833 -1.821 0 0 21.812 0.158 20.964 -0.106 1932 8 18.556 -1.507 0 0 20.576 0.513 19.357 -0.122 1932 9 15.333 -0.015 0 0 17.634 2.286 14.631 -0.133 1932 10 6.944 -1.911 0 0 9.427 0.571 7.632 -0.640 1932 11 1.000 -0.106 0 0 3.218 2.112 0.919 0.397 1932 12 -10.222 -5.560 0 0 -8.485 -3.823 -8.893 -3.648 1933 1 -7.333 -1.539 0 4 -7.837 -2.043 -8.628 -2.251 1933 2 -9.111 -6.939 0 0 -9.580 -7.408 -8.712 -5.957 1933 3 1.111 -0.900 0 0 0.662 -1.348 1.464 0.036 1933 4 3.778 -3.271 0 0 3.295 -3.754 4.016 -2.449 1933 5 9.389 -3.291 0 0 8.793 -3.887 9.320 -2.777 1933 6 20.444 2.478 0 0 19.759 1.792 18.963 1.581 1933 7 23.667 2.013 0 0 22.977 1.323 22.276 1.206 1933 8 20.111 0.048 0 0 19.407 -0.656 19.342 -0.137 1933 9 18.444 3.096 0 0 17.643 2.295 16.800 2.036 1933 10 13.111 4.255 0 0 12.246 3.390 10.687 2.414 1933 11 4.111 3.005 0 0 3.338 2.232 1.782 1.260 1933 12 0.111 4.773 0 0 -0.494 4.168 -2.279 2.967 1934 1 -3.111 2.683 0 0 -3.615 2.179 -2.853 3.525 1934 2 1.667 3.839 0 0 1.198 3.370 2.141 4.896 1934 3 6.444 4.434 0 0 5.996 3.985 5.102 3.674 1934 4 11.111 4.063 0 0 10.628 3.580 9.315 2.850 1934 5 16.444 3.764 0 0 15.849 3.168 15.345 3.248 1934 6 18.667 0.700 0 0 17.981 0.015 16.779 -0.604 1934 7 23.667 2.013 0 0 22.977 1.323 22.914 1.844 1934 8 23.278 3.215 0 0 22.574 2.511 21.029 1.550 1934 9 15.556 0.208 0 0 14.754 -0.594 14.124 -0.641 1934 10 12.389 3.533 0 0 11.524 2.668 10.170 1.897 1934 11 3.889 2.783 0 0 3.116 2.010 2.291 1.768 1934 12 -3.444 1.218 0 0 -4.050 0.612 -3.905 1.340 1935 1 -2.667 3.128 0 0 -3.171 2.623 -3.445 2.933 1935 2 -0.556 1.616 0 0 -1.025 1.147 -1.209 1.547 1935 3 1.944 -0.066 0 0 1.496 -0.515 0.726 -0.702 1935 4 6.833 -0.215 0 0 6.350 -0.698 6.086 -0.379 1935 5 10.000 -2.680 0 0 9.404 -3.276 10.292 -1.804 1935 6 19.222 1.256 0 0 18.536 0.570 17.579 0.196 1935 7 23.778 2.124 0 0 23.088 1.434 21.780 0.710 1935 8 21.556 1.493 0 0 20.852 0.789 19.995 0.516 1935 9 17.556 2.208 0 0 16.754 1.406 15.434 0.669 1935 10 9.556 0.700 0 0 8.691 -0.165 8.150 -0.122 1935 11 0.278 -0.828 0 0 -0.495 -1.601 0.029 -0.493 1935 12 -3.556 1.106 0 0 -4.161 0.501 -4.539 0.707 1936 1 -2.556 3.239 0 0 -3.060 2.735 -5.956 0.422 1936 2 -0.111 2.061 0 0 -0.580 1.592 -1.807 0.948 1936 3 3.500 1.489 0 0 3.051 1.041 1.755 0.328 1936 4 9.056 2.007 0 0 8.572 1.524 7.546 1.081 1936 5 16.444 3.764 0 0 15.849 3.168 13.934 1.837 1936 6 21.000 3.034 0 0 20.314 2.348 19.059 1.677 1936 7 22.889 1.235 0 0 22.199 0.546 21.940 0.870 1936 8 22.056 1.993 0 0 21.352 1.289 20.146 0.666 1936 9 15.833 0.485 0 0 15.032 -0.316 14.315 -0.450 1936 10 10.333 1.478 0 0 9.468 0.613 8.588 0.316 1936 11 2.667 1.561 0 0 1.894 0.788 0.256 -0.266 1936 12 -2.778 1.884 0 0 -3.383 1.279 -4.633 0.612 1937 1 -14.111 -8.317 0 0 -14.615 -8.821 -12.458 -6.080 1937 2 -5.000 -2.828 0 0 -5.469 -3.297 -4.633 -1.878 1937 3 0.500 -1.511 0 0 0.051 -1.959 0.984 -0.443 1937 4 7.167 0.118 0 0 6.684 -0.365 5.730 -0.735 1937 5 14.889 2.209 0 0 14.293 1.613 13.535 1.438 1937 6 18.000 0.034 0 0 17.314 -0.652 16.477 -0.906 1937 7 22.333 0.679 0 0 21.644 -0.010 21.117 0.047 1937 8 22.611 2.548 0 0 21.907 1.844 20.385 0.906 1937 9 17.500 2.152 0 0 16.698 1.350 15.778 1.014 1937 10 10.611 1.755 0 0 9.746 0.890 9.320 1.047 1937 11 3.889 2.783 0 0 3.116 2.010 2.521 1.999 1937 12 -1.389 3.273 0 0 -1.994 2.668 -3.041 2.204 1938 1 -3.444 2.350 0 0 -3.949 1.846 -4.219 2.159 1938 2 NaN NaN NaN NaN NaN NaN -1.341 1.414 1938 3 2.000 -0.011 0 0 1.551 -0.459 1.108 -0.319 1938 4 9.111 2.063 0 0 8.628 1.580 6.911 0.446 1938 5 11.944 -0.736 0 0 11.349 -1.332 10.951 -1.146 1938 6 19.556 1.589 0 0 18.870 0.903 17.491 0.108 1938 7 21.333 -0.321 0 0 20.644 -1.010 20.237 -0.833 1938 8 NaN NaN NaN NaN NaN NaN 19.997 0.517 1938 9 NaN NaN NaN NaN NaN NaN 15.457 0.692 1938 10 NaN NaN NaN NaN NaN NaN 9.330 1.058 1938 11 NaN NaN NaN NaN NaN NaN -3.017 -3.540 1938 12 NaN NaN NaN NaN NaN NaN -4.979 0.266 1939 1 NaN NaN NaN NaN NaN NaN -6.402 -0.025 1939 2 NaN NaN NaN NaN NaN NaN -9.206 -6.450 1939 3 NaN NaN NaN NaN NaN NaN 0.908 -0.519 1939 4 NaN NaN NaN NaN NaN NaN 8.003 1.538 1939 5 NaN NaN NaN NaN NaN NaN 13.456 1.359 1939 6 NaN NaN NaN NaN NaN NaN 16.585 -0.798 1939 7 NaN NaN NaN NaN NaN NaN 21.838 0.767