% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42456 % Primary Name: BERNE % Record Type: TAVG % Country: United States % State: WA % Latitude: 47.76670 +/- 0.00005 % Longitude: -120.98330 +/- 0.00005 % Elevation (m): 860.10 +/- 0.05 % # of Months: 87 % % Alternate Names: Missing Station ID - 450641 % % IDs: coop - 450641 % ghcnd - USC00450641 % ncdc - 20027806 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 098d6ebbe2c97768e19b4ba14409d58f % Raw Data Hash: a1590758a0a5db2476c39441d4ddd473 % Adj Data Hash: cc68efe216d7719751ec506d9b25a797 % % 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 1928 2 NaN NaN NaN NaN NaN NaN 3.107 0.572 1928 3 NaN NaN NaN NaN NaN NaN 4.789 1.304 1928 4 NaN NaN NaN NaN NaN NaN 5.465 -0.613 1928 5 NaN NaN NaN NaN NaN NaN 11.583 1.848 1928 6 NaN NaN NaN NaN NaN NaN 12.310 -0.363 1928 7 NaN NaN NaN NaN NaN NaN 16.230 0.858 1928 8 NaN NaN NaN NaN NaN NaN 14.861 -0.326 1928 9 NaN NaN NaN NaN NaN NaN 12.314 -0.399 1928 10 NaN NaN NaN NaN NaN NaN 8.221 0.028 1928 11 NaN NaN NaN NaN NaN NaN 4.319 0.520 1928 12 NaN NaN NaN NaN NaN NaN 0.823 -0.713 1929 1 NaN NaN NaN NaN NaN NaN -3.191 -3.585 1929 2 -3.996 -4.915 0 0 -3.996 -4.915 -1.448 -3.983 1929 3 2.831 0.962 0 0 2.831 0.962 3.549 0.064 1929 4 NaN NaN NaN NaN NaN NaN 4.307 -1.772 1929 5 NaN NaN NaN NaN NaN NaN 9.473 -0.262 1929 6 NaN NaN NaN NaN NaN NaN 11.921 -0.752 1929 7 15.584 1.829 1 0 NaN NaN 15.025 -0.347 1929 8 NaN NaN NaN NaN NaN NaN 15.571 0.384 1929 9 11.981 0.884 0 0 11.981 0.884 12.889 0.177 1929 10 7.856 1.280 0 0 7.856 1.280 9.747 1.554 1929 11 2.043 -0.140 0 0 2.043 -0.140 3.301 -0.498 1929 12 0.133 0.214 0 0 0.133 0.214 2.844 1.309 1930 1 -11.503 -10.281 0 0 -11.503 -10.281 -4.994 -5.388 1930 2 0.388 -0.532 0 0 0.388 -0.532 3.740 1.205 1930 3 3.005 1.136 0 0 3.005 1.136 4.153 0.668 1930 4 7.699 3.237 1 0 NaN NaN 7.632 1.554 1930 5 8.159 0.040 0 0 8.159 0.040 8.916 -0.818 1930 6 12.836 1.779 0 0 12.836 1.779 11.641 -1.032 1930 7 17.977 4.222 0 0 17.977 4.222 14.924 -0.447 1930 8 17.033 3.461 0 0 17.033 3.461 15.978 0.790 1930 9 13.183 2.086 0 0 13.183 2.086 12.831 0.119 1930 10 5.596 -0.980 0 0 5.596 -0.980 7.278 -0.914 1930 11 4.720 2.537 1 0 NaN NaN 3.272 -0.527 1930 12 NaN NaN NaN NaN NaN NaN 1.815 0.279 1931 1 -1.889 -0.667 0 0 -1.889 -0.667 2.980 2.586 1931 2 -1.333 -2.253 0 0 -1.333 -2.253 3.558 1.023 1931 3 1.333 -0.536 0 0 1.333 -0.536 4.125 0.640 1931 4 6.111 1.649 0 0 6.111 1.649 7.039 0.961 1931 5 11.000 2.881 0 0 11.000 2.881 11.537 1.803 1931 6 12.556 1.498 0 0 12.556 1.498 12.488 -0.185 1931 7 17.889 4.133 0 0 17.889 4.133 15.831 0.459 1931 8 15.111 1.540 0 0 15.111 1.540 15.076 -0.112 1931 9 11.111 0.014 0 0 11.111 0.014 12.467 -0.246 1931 10 6.778 0.201 0 0 6.778 0.201 8.275 0.083 1931 11 -1.278 -3.461 0 0 -1.278 -3.461 2.013 -1.787 1931 12 -3.833 -3.753 0 0 -3.833 -3.753 1.004 -0.532 1932 1 -4.444 -3.222 0 0 -4.444 -3.222 -0.572 -0.966 1932 2 -1.944 -2.864 0 0 -1.944 -2.864 1.474 -1.062 1932 3 0.778 -1.091 0 0 0.778 -1.091 3.590 0.105 1932 4 5.111 0.649 0 0 5.111 0.649 6.409 0.330 1932 5 8.278 0.159 0 0 8.278 0.159 9.235 -0.500 1932 6 13.222 2.165 0 0 13.222 2.165 13.206 0.533 1932 7 13.667 -0.089 0 0 13.667 -0.089 13.545 -1.827 1932 8 15.556 1.984 0 0 15.556 1.984 14.801 -0.387 1932 9 12.278 1.181 0 0 12.278 1.181 12.842 0.129 1932 10 7.333 0.757 0 0 7.333 0.757 9.107 0.914 1932 11 1.667 -0.517 0 0 1.667 -0.517 5.402 1.603 1932 12 -4.944 -4.864 0 0 -4.944 -4.864 -0.158 -1.693 1933 1 -2.889 -1.667 0 0 -2.889 -1.667 0.206 -0.188 1933 2 -5.000 -5.919 0 0 -5.000 -5.919 -0.381 -2.917 1933 3 0.167 -1.702 0 0 0.167 -1.702 2.692 -0.793 1933 4 5.444 0.982 0 0 5.444 0.982 5.349 -0.729 1933 5 9.722 1.604 0 0 9.722 1.604 7.812 -1.922 1933 6 13.500 2.443 0 0 13.500 2.443 11.289 -1.384 1933 7 NaN NaN NaN NaN NaN NaN 14.353 -1.019 1933 8 NaN NaN NaN NaN NaN NaN 15.855 0.668 1933 9 NaN NaN NaN NaN NaN NaN 10.915 -1.798 1933 10 8.444 1.868 0 0 8.444 1.868 8.766 0.574 1933 11 3.556 1.372 0 0 3.556 1.372 4.769 0.969 1933 12 -0.444 -0.364 0 0 -0.444 -0.364 3.573 2.038 1934 1 0.167 1.389 0 0 0.167 1.389 3.322 2.928 1934 2 1.556 0.636 0 0 1.556 0.636 5.686 3.151 1934 3 5.389 3.520 0 0 5.389 3.520 6.512 3.027 1934 4 NaN NaN NaN NaN NaN NaN 9.475 3.397 1934 5 NaN NaN NaN NaN NaN NaN 11.212 1.477 1934 6 NaN NaN NaN NaN NaN NaN 12.744 0.071 1934 7 NaN NaN NaN NaN NaN NaN 14.497 -0.874 1934 8 NaN NaN NaN NaN NaN NaN 15.742 0.555 1934 9 11.667 0.570 0 0 11.667 0.570 11.993 -0.720 1934 10 7.778 1.201 0 0 7.778 1.201 9.298 1.105 1934 11 2.611 0.428 0 0 2.611 0.428 5.785 1.986 1934 12 -2.231 -2.151 0 0 -2.231 -2.151 2.637 1.102 1935 1 -3.889 -2.667 0 0 -3.889 -2.667 0.358 -0.036 1935 2 -0.556 -1.475 0 0 -0.556 -1.475 3.967 1.432 1935 3 -0.667 -2.536 0 0 -0.667 -2.536 1.578 -1.907 1935 4 3.333 -1.129 0 0 3.333 -1.129 5.108 -0.971 1935 5 8.556 0.437 0 0 8.556 0.437 9.409 -0.326 1935 6 11.778 0.721 0 0 11.778 0.721 12.394 -0.279 1935 7 15.667 1.911 0 0 15.667 1.911 14.883 -0.488 1935 8 15.389 1.817 0 0 15.389 1.817 14.660 -0.528 1935 9 13.722 2.626 0 0 13.722 2.626 13.850 1.137 1935 10 6.278 -0.299 0 0 6.278 -0.299 7.511 -0.681 1935 11 0.222 -1.961 0 0 0.222 -1.961 2.044 -1.756 1935 12 -3.167 -3.086 0 0 -3.167 -3.086 2.719 1.184 1936 1 -1.722 -0.500 0 0 -1.722 -0.500 1.908 1.514 1936 2 -9.556 -10.475 0 0 -9.556 -10.475 -2.144 -4.679 1936 3 0.556 -1.314 0 0 0.556 -1.314 2.069 -1.416 1936 4 6.111 1.649 0 0 6.111 1.649 7.186 1.108 1936 5 11.444 3.326 0 0 11.444 3.326 11.086 1.351 1936 6 13.667 2.610 0 0 13.667 2.610 13.206 0.533 1936 7 17.111 3.356 0 0 17.111 3.356 15.141 -0.230 1936 8 17.111 3.540 0 0 17.111 3.540 15.869 0.681 1936 9 12.444 1.348 0 0 12.444 1.348 12.245 -0.468 1936 10 9.611 3.035 0 0 9.611 3.035 9.928 1.736 1936 11 0.778 -1.406 0 0 0.778 -1.406 3.307 -0.493 1936 12 NaN NaN NaN NaN NaN NaN 2.896 1.360 1937 1 NaN NaN NaN NaN NaN NaN -5.457 -5.851 1937 2 NaN NaN NaN NaN NaN NaN 1.174 -1.361 1937 3 NaN NaN NaN NaN NaN NaN 4.636 1.151 1937 4 NaN NaN NaN NaN NaN NaN 5.015 -1.063 1937 5 9.000 0.881 0 0 9.000 0.881 9.738 0.003 1937 6 14.000 2.943 1 0 NaN NaN 13.159 0.486 1937 7 NaN NaN NaN NaN NaN NaN 15.479 0.108 1937 8 NaN NaN NaN NaN NaN NaN 14.235 -0.953 1937 9 NaN NaN NaN NaN NaN NaN 13.247 0.534 1937 10 NaN NaN NaN NaN NaN NaN 10.191 1.999 1937 11 NaN NaN NaN NaN NaN NaN 4.925 1.126 1937 12 NaN NaN NaN NaN NaN NaN 2.920 1.385 1938 1 NaN NaN NaN NaN NaN NaN 1.189 0.795 1938 2 NaN NaN NaN NaN NaN NaN 3.076 0.541 1938 3 NaN NaN NaN NaN NaN NaN 3.135 -0.350 1938 4 NaN NaN NaN NaN NaN NaN 6.892 0.813 1938 5 NaN NaN NaN NaN NaN NaN 10.179 0.445 1938 6 NaN NaN NaN NaN NaN NaN 13.238 0.565 1938 7 NaN NaN NaN NaN NaN NaN 16.532 1.160 1938 8 NaN NaN NaN NaN NaN NaN 14.135 -1.052 1938 9 NaN NaN NaN NaN NaN NaN 14.908 2.195 1938 10 NaN NaN NaN NaN NaN NaN 9.186 0.993 1938 11 NaN NaN NaN NaN NaN NaN 2.826 -0.974 1938 12 NaN NaN NaN NaN NaN NaN 2.528 0.993 1939 1 -0.333 0.889 1 0 NaN NaN 2.635 2.241 1939 2 -2.667 -3.586 1 0 NaN NaN 1.308 -1.227 1939 3 2.444 0.575 1 0 NaN NaN 3.317 -0.168 1939 4 6.556 2.093 1 0 NaN NaN 7.292 1.214 1939 5 NaN NaN NaN NaN NaN NaN 10.162 0.427 1939 6 NaN NaN NaN NaN NaN NaN 11.169 -1.504 1939 7 NaN NaN NaN NaN NaN NaN 15.442 0.070 1939 8 NaN NaN NaN NaN NaN NaN 15.943 0.756 1939 9 NaN NaN NaN NaN NaN NaN 12.870 0.157 1939 10 NaN NaN NaN NaN NaN NaN 8.711 0.519 1939 11 NaN NaN NaN NaN NaN NaN 6.074 2.274 1939 12 NaN NaN NaN NaN NaN NaN 4.537 3.001 1940 1 NaN NaN NaN NaN NaN NaN 2.191 1.797 1940 2 NaN NaN NaN NaN NaN NaN 4.415 1.879 1940 3 NaN NaN NaN NaN NaN NaN 5.507 2.022 1940 4 NaN NaN NaN NaN NaN NaN 7.337 1.259