% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42920 % Primary Name: SULLIVAN LAKE NEAR % Record Type: TAVG % Country: United States % State: WA % Latitude: 48.85000 +/- 0.00833 % Longitude: -117.30000 +/- 0.00833 % Elevation (m): 793.10 +/- 0.05 % # of Months: 127 % % IDs: coop - 458159 % ncdc - 20027995 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: bbc22f9801805ad794f75ab820ed8205 % Raw Data Hash: 1c2e3747bba42f97c44716d3ab63a3cd % Adj Data Hash: 84afc53a81e5606cf5f7ebebc40154a3 % % 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 -15.299 -7.772 1930 2 NaN NaN NaN NaN NaN NaN -2.331 1.746 1930 3 NaN NaN NaN NaN NaN NaN -0.713 0.220 1930 4 NaN NaN NaN NaN NaN NaN 6.583 2.481 1930 5 NaN NaN NaN NaN NaN NaN 8.217 -0.801 1930 6 NaN NaN NaN NaN NaN NaN 11.170 -1.520 1930 7 NaN NaN NaN NaN NaN NaN 16.593 0.418 1930 8 NaN NaN NaN NaN NaN NaN 16.926 1.346 1930 9 NaN NaN NaN NaN NaN NaN 11.671 0.861 1930 10 NaN NaN NaN NaN NaN NaN 3.474 -0.816 1930 11 NaN NaN NaN NaN NaN NaN -3.047 -0.993 1930 12 NaN NaN NaN NaN NaN NaN -5.327 0.342 1931 1 -1.778 3.621 0 0 -1.404 3.994 -3.779 3.748 1931 2 -2.444 -0.496 0 0 -1.847 0.101 -2.830 1.247 1931 3 2.333 1.137 0 0 2.852 1.656 0.146 1.079 1931 4 6.889 0.658 0 0 7.281 1.050 4.573 0.471 1931 5 12.278 1.131 0 0 12.676 1.529 10.475 1.457 1931 6 14.167 -0.652 0 0 14.528 -0.290 11.949 -0.740 1931 7 18.333 0.030 0 0 18.609 0.305 16.931 0.756 1931 8 18.000 0.291 0 0 18.408 0.699 16.300 0.720 1931 9 11.889 -1.049 0 0 12.572 -0.366 10.058 -0.751 1931 10 6.222 -0.196 0 0 6.873 0.455 4.677 0.388 1931 11 -2.222 -2.297 0 0 -1.934 -2.009 -4.006 -1.952 1931 12 -4.111 -0.571 0 0 -3.984 -0.443 -5.872 -0.202 1932 1 -5.889 -0.490 0 0 -5.515 -0.117 -8.618 -1.091 1932 2 -4.667 -2.718 0 0 -4.069 -2.121 -5.673 -1.596 1932 3 0.556 -0.640 0 0 1.074 -0.122 -2.186 -1.253 1932 4 6.111 -0.120 0 0 6.503 0.272 4.379 0.277 1932 5 10.889 -0.258 0 0 11.287 0.140 8.968 -0.050 1932 6 15.056 0.237 0 0 15.417 0.599 13.546 0.856 1932 7 16.444 -1.859 0 0 16.720 -1.584 15.055 -1.120 1932 8 17.000 -0.709 0 0 17.408 -0.301 15.718 0.137 1932 9 12.556 -0.383 0 0 13.239 0.301 10.655 -0.154 1932 10 5.667 -0.752 0 0 6.317 -0.101 4.557 0.268 1932 11 1.000 0.925 0 0 1.288 1.213 -0.574 1.480 1932 12 -6.667 -3.126 0 0 -6.539 -2.999 -7.904 -2.235 1933 1 -4.111 1.287 0 0 -3.737 1.661 -6.032 1.495 1933 2 -7.444 -5.496 0 0 -6.847 -4.899 -8.535 -4.458 1933 3 1.056 -0.140 0 0 1.574 0.378 -1.565 -0.633 1933 4 5.778 -0.453 0 0 6.169 -0.061 3.626 -0.476 1933 5 9.000 -2.147 0 0 9.398 -1.749 7.419 -1.599 1933 6 14.278 -0.541 0 0 14.640 -0.179 12.154 -0.535 1933 7 17.611 -0.692 0 0 17.886 -0.417 16.163 -0.011 1933 8 18.111 0.402 0 0 18.519 0.810 16.406 0.825 1933 9 9.667 -3.271 0 0 10.350 -2.588 8.486 -2.324 1933 10 6.056 -0.363 0 0 6.706 0.288 4.755 0.465 1933 11 0.944 0.870 0 0 1.232 1.158 -0.279 1.775 1933 12 -1.333 2.207 0 0 -1.206 2.335 -3.097 2.572 1934 1 -1.444 3.954 0 4 -1.592 3.806 -3.594 3.933 1934 2 -0.500 1.448 0 0 -0.736 1.212 -1.775 2.302 1934 3 3.722 2.526 0 0 3.517 2.321 1.042 1.975 1934 4 10.778 4.547 0 0 10.623 4.392 7.842 3.740 1934 5 12.667 1.520 0 0 12.509 1.363 10.618 1.600 1934 6 14.444 -0.374 0 0 14.301 -0.517 12.824 0.134 1934 7 18.222 -0.081 0 0 18.113 -0.190 16.344 0.170 1934 8 17.944 0.235 0 0 17.783 0.074 16.179 0.599 1934 9 11.444 -1.494 0 0 11.174 -1.764 9.044 -1.765 1934 10 7.889 1.471 0 0 7.631 1.213 5.586 1.296 1934 11 3.500 3.425 0 0 3.386 3.311 0.995 3.049 1934 12 -2.111 1.429 0 0 -2.162 1.379 -4.462 1.207 1935 1 -4.167 1.232 0 0 -4.315 1.084 -7.642 -0.114 1935 2 -1.278 0.670 0 0 -1.514 0.434 -2.889 1.188 1935 3 0.111 -1.085 0 0 -0.094 -1.290 -2.777 -1.844 1935 4 4.611 -1.620 0 0 4.456 -1.775 1.905 -2.197 1935 5 11.056 -0.091 0 0 10.898 -0.249 8.547 -0.471 1935 6 14.111 -0.707 0 0 13.968 -0.850 11.509 -1.181 1935 7 18.111 -0.192 0 0 18.002 -0.301 15.642 -0.532 1935 8 16.556 -1.154 0 0 16.394 -1.315 14.427 -1.153 1935 9 14.667 1.729 0 0 14.396 1.458 12.258 1.449 1935 10 6.167 -0.252 0 0 5.909 -0.509 3.778 -0.512 1935 11 -1.389 -1.464 0 0 -1.503 -1.578 -3.989 -1.935 1935 12 -2.278 1.263 0 0 -2.328 1.212 -3.789 1.880 1936 1 -3.111 2.287 0 0 -3.259 2.139 -5.588 1.939 1936 2 -11.111 -9.163 0 0 -11.347 -9.399 -12.854 -8.777 1936 3 0.889 -0.307 0 0 0.684 -0.512 -2.346 -1.413 1936 4 7.333 1.102 0 0 7.178 0.948 5.007 0.905 1936 5 14.444 3.298 0 0 14.287 3.140 11.908 2.890 1936 6 16.167 1.348 0 0 16.024 1.205 13.461 0.771 1936 7 19.444 1.141 0 0 19.336 1.032 17.129 0.954 1936 8 18.556 0.846 0 0 18.394 0.685 16.271 0.691 1936 9 13.000 0.062 0 0 12.730 -0.209 10.270 -0.540 1936 10 8.556 2.137 0 0 8.298 1.880 6.067 1.777 1936 11 -1.778 -1.853 0 0 -1.892 -1.967 -4.009 -1.955 1936 12 -2.111 1.429 0 0 -2.162 1.379 -4.447 1.223 1937 1 -14.444 -9.046 0 0 -14.592 -9.194 -16.606 -9.078 1937 2 -3.889 -1.941 0 0 -4.125 -2.177 -6.786 -2.709 1937 3 3.000 1.804 0 0 2.795 1.599 -0.549 0.384 1937 4 5.722 -0.509 0 0 5.567 -0.664 3.095 -1.007 1937 5 11.778 0.631 0 0 11.620 0.474 9.484 0.466 1937 6 15.556 0.737 0 0 15.412 0.594 12.619 -0.071 1937 7 19.333 1.030 0 0 19.224 0.921 17.248 1.074 1937 8 15.722 -1.987 0 0 15.561 -2.148 13.739 -1.841 1937 9 14.222 1.284 0 0 13.952 1.014 11.758 0.949 1937 10 8.778 2.359 0 0 8.520 2.102 6.270 1.980 1937 11 1.778 1.703 0 0 1.664 1.589 -0.906 1.147 1937 12 -2.444 1.096 0 0 -2.495 1.046 -4.158 1.511 1938 1 -3.556 1.843 0 0 -3.703 1.695 -5.978 1.550 1938 2 -1.222 0.726 0 0 -1.459 0.490 -3.497 0.580 1938 3 2.611 1.415 0 0 2.406 1.210 -0.772 0.161 1938 4 7.333 1.102 0 0 7.178 0.948 4.489 0.386 1938 5 11.500 0.353 0 0 11.343 0.196 9.276 0.258 1938 6 16.889 2.070 0 0 16.746 1.927 14.332 1.642 1938 7 20.278 1.975 0 0 20.169 1.866 18.286 2.112 1938 8 16.944 -0.765 0 0 16.783 -0.926 14.750 -0.830 1938 9 17.778 4.840 0 0 17.507 4.569 14.628 3.819 1938 10 7.667 1.248 0 0 7.409 0.991 5.808 1.518 1938 11 -1.000 -1.075 0 0 -1.114 -1.189 -3.508 -1.454 1938 12 -3.722 -0.182 0 0 -3.773 -0.232 -5.443 0.226 1939 1 -1.778 3.621 0 0 -1.926 3.473 -4.444 3.083 1939 2 -4.833 -2.885 0 0 -5.070 -3.121 -6.353 -2.276 1939 3 2.222 1.026 0 0 2.017 0.821 -0.805 0.128 1939 4 8.667 2.436 0 0 8.512 2.281 5.670 1.568 1939 5 12.611 1.464 0 0 12.454 1.307 10.141 1.123 1939 6 12.778 -2.041 0 0 12.635 -2.184 10.399 -2.290 1939 7 18.500 0.197 0 0 18.391 0.088 16.641 0.467 1939 8 19.111 1.402 0 0 18.950 1.241 16.799 1.219 1939 9 14.000 1.062 0 0 13.730 0.791 11.470 0.661 1939 10 6.778 0.359 0 0 6.520 0.102 4.709 0.419 1939 11 1.278 1.203 0 0 1.164 1.089 -0.510 1.544 1939 12 -0.611 2.929 0 0 -0.662 2.879 -1.846 3.823 1940 1 -4.667 0.732 0 0 -4.815 0.584 -6.606 0.921 1940 2 -0.778 1.170 0 0 -1.014 0.934 -2.056 2.021 1940 3 4.000 2.804 0 0 3.795 2.599 1.281 2.213 1940 4 7.889 1.658 0 0 7.734 1.503 5.108 1.006 1940 5 12.778 1.631 0 0 12.620 1.474 10.756 1.738 1940 6 16.778 1.959 0 0 16.635 1.816 14.126 1.436 1940 7 19.222 0.919 0 0 19.113 0.810 17.419 1.244 1940 8 18.556 0.846 0 0 18.394 0.685 16.240 0.659 1940 9 16.556 3.617 0 0 16.285 3.347 14.012 3.202 1940 10 8.556 2.137 0 0 8.298 1.880 6.632 2.342 1940 11 -2.000 -2.075 0 0 -2.114 -2.189 -4.030 -1.977 1940 12 -2.444 1.096 0 0 -2.495 1.046 -3.713 1.957 1941 1 -3.000 2.398 0 0 -3.148 2.251 -4.390 3.137 1941 2 -0.222 1.726 0 0 -0.459 1.490 -1.393 2.684 1941 3 4.833 3.637 0 0 4.628 3.432 2.505 3.438 1941 4 9.389 3.158 0 0 9.234 3.003 6.683 2.580 1941 5 11.333 0.187 0 0 11.176 0.029 9.355 0.337 1941 6 15.389 0.570 0 0 15.246 0.427 12.847 0.157 1941 7 19.611 1.308 0 0 19.502 1.199 18.345 2.171 1941 8 NaN NaN NaN NaN NaN NaN 15.516 -0.065 1941 9 NaN NaN NaN NaN NaN NaN 8.721 -2.088 1941 10 NaN NaN NaN NaN NaN NaN 4.654 0.364 1941 11 NaN NaN NaN NaN NaN NaN 0.011 2.065 1941 12 NaN NaN NaN NaN NaN NaN -3.366 2.303 1942 1 NaN NaN NaN NaN NaN NaN -8.091 -0.564 1942 2 NaN NaN NaN NaN NaN NaN -2.946 1.131 1942 3 NaN NaN NaN NaN NaN NaN -0.623 0.310 1942 4 NaN NaN NaN NaN NaN NaN 5.371 1.269 1942 5 NaN NaN NaN NaN NaN NaN 8.131 -0.887 1942 6 NaN NaN NaN NaN NaN NaN 10.792 -1.897 1942 7 NaN NaN NaN NaN NaN NaN 16.745 0.570