% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41694 % Primary Name: ALPOWA RANCH % Record Type: TAVG % Country: United States % State: WA % Latitude: 46.41670 +/- 0.00005 % Longitude: -117.20000 +/- 0.00005 % Elevation (m): 232.00 +/- 0.05 % # of Months: 106 % % Alternate Names: ALPOWA RCH % Missing Station ID - 450145 % % IDs: coop - 450145 % ghcnd - USC00450145 % ncdc - 20027455 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d2b0c82e6a9fb92936f690d307639d56 % Raw Data Hash: 552ec84b1ca911540c41cf2f72e06e7a % Adj Data Hash: 482b6d520a0b4b26efe4bf00e6add71e % % 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 1926 7 NaN NaN NaN NaN NaN NaN 19.596 1.406 1926 8 NaN NaN NaN NaN NaN NaN 17.108 -0.412 1926 9 NaN NaN NaN NaN NaN NaN 9.457 -3.619 1926 10 NaN NaN NaN NaN NaN NaN 7.756 0.694 1926 11 NaN NaN NaN NaN NaN NaN 2.666 1.802 1926 12 NaN NaN NaN NaN NaN NaN -2.913 -0.378 1927 1 NaN NaN NaN NaN NaN NaN -3.724 0.174 1927 2 NaN NaN NaN NaN NaN NaN 0.573 1.306 1927 3 NaN NaN NaN NaN NaN NaN 0.595 -0.701 1927 4 NaN NaN NaN NaN NaN NaN 4.281 -0.996 1927 5 NaN NaN NaN NaN NaN NaN 7.737 -2.125 1927 6 NaN NaN NaN NaN NaN NaN 13.696 -0.238 1927 7 24.525 1.058 0 0 24.525 1.058 18.209 0.019 1927 8 23.137 0.341 0 0 23.137 0.341 17.058 -0.462 1927 9 15.438 -2.915 0 0 15.438 -2.915 10.951 -2.125 1927 10 12.131 -0.207 0 0 12.131 -0.207 7.964 0.902 1927 11 7.863 1.724 0 0 7.863 1.724 2.826 1.963 1927 12 -2.195 -4.936 0 0 -2.195 -4.936 -6.567 -4.031 1928 1 0.839 -0.540 0 0 0.839 -0.540 -3.581 0.316 1928 2 3.268 -1.275 0 0 3.268 -1.275 -1.262 -0.529 1928 3 8.781 2.209 0 0 8.781 2.209 2.118 0.823 1928 4 10.880 0.326 0 0 10.880 0.326 3.926 -1.352 1928 5 18.348 3.210 0 0 18.348 3.210 12.660 2.798 1928 6 19.843 0.633 0 0 19.843 0.633 12.746 -1.188 1928 7 24.477 1.011 0 0 24.477 1.011 19.357 1.166 1928 8 22.177 -0.618 0 0 22.177 -0.618 16.450 -1.069 1928 9 17.657 -0.696 0 0 17.657 -0.696 13.173 0.096 1928 10 12.065 -0.273 0 0 12.065 -0.273 7.480 0.418 1928 11 5.385 -0.754 0 0 5.385 -0.754 1.016 0.153 1928 12 1.085 -1.655 0 0 1.085 -1.655 -3.776 -1.240 1929 1 -4.366 -5.745 0 0 -4.366 -5.745 -8.721 -4.824 1929 2 -4.864 -9.407 0 0 -4.864 -9.407 -6.589 -5.856 1929 3 8.197 1.625 0 0 8.197 1.625 1.323 0.028 1929 4 10.426 -0.127 1 0 NaN NaN 3.114 -2.163 1929 5 16.044 0.905 0 0 16.044 0.905 9.547 -0.315 1929 6 18.910 -0.301 0 0 18.910 -0.301 12.412 -1.523 1929 7 24.035 0.569 0 0 24.035 0.569 18.307 0.116 1929 8 24.481 1.685 0 0 24.481 1.685 19.321 1.801 1929 9 16.397 -1.956 0 0 16.397 -1.956 11.019 -2.058 1929 10 12.077 -0.261 0 0 12.077 -0.261 8.229 1.167 1929 11 2.590 -3.549 0 0 2.590 -3.549 -0.370 -1.233 1929 12 3.821 1.080 0 0 3.821 1.080 0.682 3.218 1930 1 -8.594 -9.972 0 0 -8.594 -9.972 -11.327 -7.430 1930 2 6.062 1.519 0 0 6.062 1.519 2.306 3.039 1930 3 8.344 1.772 0 0 8.344 1.772 1.744 0.449 1930 4 14.010 3.456 0 0 14.010 3.456 7.964 2.687 1930 5 14.968 -0.171 0 0 14.968 -0.171 9.247 -0.616 1930 6 18.890 -0.321 0 0 18.890 -0.321 12.328 -1.607 1930 7 24.498 1.032 0 0 24.498 1.032 18.999 0.809 1930 8 24.118 1.322 0 0 24.118 1.322 18.864 1.344 1930 9 18.910 0.557 0 0 18.910 0.557 13.221 0.144 1930 10 10.611 -1.727 0 0 10.611 -1.727 5.830 -1.232 1930 11 4.503 -1.636 0 0 4.503 -1.636 -0.353 -1.216 1930 12 -0.156 -2.897 0 0 -0.156 -2.897 -5.121 -2.586 1931 1 3.444 2.066 0 0 3.444 2.066 -1.993 1.904 1931 2 4.000 -0.543 0 0 4.000 -0.543 -0.313 0.421 1931 3 7.944 1.373 0 0 7.944 1.373 1.186 -0.109 1931 4 11.833 1.280 0 0 11.833 1.280 5.305 0.028 1931 5 17.889 2.750 0 0 17.889 2.750 11.641 1.779 1931 6 20.556 1.345 0 0 20.556 1.345 13.969 0.035 1931 7 24.778 1.311 0 0 24.778 1.311 19.414 1.223 1931 8 23.444 0.649 0 0 23.444 0.649 18.445 0.925 1931 9 17.111 -1.242 0 0 17.111 -1.242 12.459 -0.618 1931 10 11.333 -1.005 0 0 11.333 -1.005 7.377 0.315 1931 11 3.333 -2.806 0 0 3.333 -2.806 -1.702 -2.565 1931 12 0.667 -2.074 0 0 0.667 -2.074 -4.028 -1.492 1932 1 0.556 -0.823 0 0 0.556 -0.823 -5.031 -1.134 1932 2 1.889 -2.654 0 0 1.889 -2.654 -2.704 -1.971 1932 3 7.444 0.873 0 0 7.444 0.873 0.319 -0.976 1932 4 12.167 1.613 0 0 12.167 1.613 5.450 0.172 1932 5 15.556 0.417 0 0 15.556 0.417 9.705 -0.157 1932 6 20.722 1.512 0 0 20.722 1.512 14.282 0.348 1932 7 23.222 -0.244 0 0 23.222 -0.244 17.354 -0.836 1932 8 22.444 -0.351 0 0 22.444 -0.351 16.815 -0.704 1932 9 17.667 -0.686 0 0 17.667 -0.686 12.878 -0.199 1932 10 12.222 -0.116 0 0 12.222 -0.116 7.459 0.398 1932 11 7.333 1.194 0 0 7.333 1.194 2.870 2.007 1932 12 -2.111 -4.852 0 0 -2.111 -4.852 -5.644 -3.108 1933 1 2.611 1.232 0 0 2.611 1.232 -3.111 0.787 1933 2 -1.500 -6.043 0 0 -1.500 -6.043 -5.561 -4.827 1933 3 7.778 1.206 0 0 7.778 1.206 0.770 -0.525 1933 4 11.444 0.891 0 0 11.444 0.891 4.497 -0.781 1933 5 13.778 -1.361 0 0 13.778 -1.361 7.710 -2.152 1933 6 20.556 1.345 0 0 20.556 1.345 14.410 0.476 1933 7 24.333 0.867 0 0 24.333 0.867 18.827 0.637 1933 8 23.778 0.982 0 0 23.778 0.982 17.844 0.325 1933 9 16.722 -1.631 0 0 16.722 -1.631 11.311 -1.766 1933 10 13.333 0.995 0 0 13.333 0.995 9.498 2.436 1933 11 6.111 -0.028 0 0 6.111 -0.028 2.567 1.704 1933 12 5.833 3.093 0 0 5.833 3.093 1.869 4.405 1934 1 6.000 4.621 0 0 6.000 4.621 1.318 5.215 1934 2 6.667 2.124 0 0 6.667 2.124 4.002 4.735 1934 3 11.333 4.762 0 0 11.333 4.762 5.244 3.948 1934 4 15.333 4.780 0 0 15.333 4.780 9.215 3.937 1934 5 18.778 3.639 0 0 18.778 3.639 12.927 3.065 1934 6 21.111 1.901 0 0 21.111 1.901 13.765 -0.169 1934 7 22.889 -0.578 0 0 22.889 -0.578 18.634 0.444 1934 8 22.444 -0.351 0 0 22.444 -0.351 18.253 0.734 1934 9 16.278 -2.075 0 0 16.278 -2.075 11.646 -1.431 1934 10 12.944 0.606 0 0 12.944 0.606 8.671 1.609 1934 11 9.111 2.972 0 0 9.111 2.972 4.263 3.400 1934 12 2.368 -0.372 1 0 NaN NaN -1.428 1.107 1935 1 2.444 1.066 0 0 2.444 1.066 -2.998 0.899 1935 2 4.667 0.124 0 0 4.667 0.124 0.258 0.992 1935 3 6.444 -0.127 0 0 6.444 -0.127 -0.472 -1.767 1935 4 10.444 -0.109 0 0 10.444 -0.109 3.881 -1.397 1935 5 15.556 0.417 0 0 15.556 0.417 9.446 -0.416 1935 6 20.778 1.567 0 0 20.778 1.567 13.582 -0.352 1935 7 24.611 1.144 0 0 24.611 1.144 18.188 -0.003 1935 8 23.444 0.649 0 0 23.444 0.649 16.915 -0.604 1935 9 20.333 1.980 0 0 20.333 1.980 14.758 1.681 1935 10 10.944 -1.394 0 0 10.944 -1.394 6.864 -0.198 1935 11 2.833 -3.306 0 0 2.833 -3.306 -1.663 -2.526 1935 12 1.333 -1.407 0 0 1.333 -1.407 -2.710 -0.175 1936 1 2.667 1.288 0 0 2.667 1.288 -2.823 1.074 1936 2 -4.944 -9.488 0 0 -4.944 -9.488 -7.521 -6.787 1936 3 7.000 0.429 0 0 7.000 0.429 -0.149 -1.444 1936 4 NaN NaN NaN NaN NaN NaN 6.991 1.714 1936 5 NaN NaN NaN NaN NaN NaN 12.932 3.070 1936 6 NaN NaN NaN NaN NaN NaN 14.927 0.993 1936 7 NaN NaN NaN NaN NaN NaN 19.804 1.614 1936 8 NaN NaN NaN NaN NaN NaN 18.225 0.706 1936 9 NaN NaN NaN NaN NaN NaN 12.399 -0.677 1936 10 NaN NaN NaN NaN NaN NaN 8.801 1.740 1936 11 NaN NaN NaN NaN NaN NaN -1.136 -2.000 1936 12 NaN NaN NaN NaN NaN NaN -1.187 1.348 1937 1 NaN NaN NaN NaN NaN NaN -12.767 -8.869 1937 2 NaN NaN NaN NaN NaN NaN -2.749 -2.015 1937 3 9.121 2.549 0 0 9.121 2.549 1.999 0.704 1937 4 NaN NaN NaN NaN NaN NaN 4.012 -1.266 1937 5 NaN NaN NaN NaN NaN NaN 10.876 1.014 1937 6 NaN NaN NaN NaN NaN NaN 13.351 -0.583 1937 7 NaN NaN NaN NaN NaN NaN 19.561 1.371 1937 8 NaN NaN NaN NaN NaN NaN 16.527 -0.992 1937 9 NaN NaN NaN NaN NaN NaN 14.569 1.492 1937 10 NaN NaN NaN NaN NaN NaN 9.301 2.239 1937 11 NaN NaN NaN NaN NaN NaN 2.985 2.122 1937 12 NaN NaN NaN NaN NaN NaN -0.354 2.182 1938 1 NaN NaN NaN NaN NaN NaN -1.962 1.936 1938 2 NaN NaN NaN NaN NaN NaN 0.155 0.888 1938 3 NaN NaN NaN NaN NaN NaN 0.860 -0.435