% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39514 % Primary Name: FALL RIVER HATCHERY % Record Type: TAVG % Country: United States % State: OR % Latitude: 43.76670 +/- 0.00005 % Longitude: -121.63330 +/- 0.00005 % Elevation (m): 1311.90 +/- 0.05 % # of Months: 169 % % Alternate Names: Missing Station ID - 352793 % % IDs: coop - 352793 % ghcnd - USC00352793 % ncdc - 20016006 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 9a8b7ad75851f7e7da38d38de542054d % Raw Data Hash: ebbb63656659c0760ab2cacd725c15db % Adj Data Hash: 658a06714b7da4f9b5ab7b74cf379bdb % % 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 1927 7 NaN NaN NaN NaN NaN NaN 17.592 0.164 1927 8 NaN NaN NaN NaN NaN NaN 16.401 -0.297 1927 9 NaN NaN NaN NaN NaN NaN 11.295 -1.892 1927 10 NaN NaN NaN NaN NaN NaN 8.617 0.812 1927 11 NaN NaN NaN NaN NaN NaN 4.374 2.046 1927 12 NaN NaN NaN NaN NaN NaN -3.568 -2.823 1928 1 NaN NaN NaN NaN NaN NaN -1.181 0.677 1928 2 NaN NaN NaN NaN NaN NaN 1.331 0.308 1928 3 NaN NaN NaN NaN NaN NaN 3.700 1.300 1928 4 NaN NaN NaN NaN NaN NaN 4.071 -1.145 1928 5 NaN NaN NaN NaN NaN NaN 12.027 2.585 1928 6 NaN NaN NaN NaN NaN NaN 12.225 -1.252 1928 7 16.220 0.370 1 0 NaN NaN 18.210 0.781 1928 8 13.619 -1.499 0 0 13.619 -1.499 15.820 -0.878 1928 9 9.888 -1.720 0 0 9.888 -1.720 12.930 -0.257 1928 10 5.756 -0.469 0 0 5.756 -0.469 7.740 -0.065 1928 11 1.097 0.347 0 0 1.097 0.347 2.344 0.016 1928 12 -3.321 -0.996 0 0 -3.321 -0.996 -2.013 -1.268 1929 1 -5.518 -2.081 0 0 -5.518 -2.081 -4.903 -3.045 1929 2 -4.420 -3.864 0 0 -4.420 -3.864 -4.147 -5.170 1929 3 1.885 1.064 0 0 1.885 1.064 2.589 0.189 1929 4 2.777 -0.861 0 0 2.777 -0.861 2.995 -2.221 1929 5 7.521 -0.343 0 0 7.521 -0.343 9.305 -0.137 1929 6 10.567 -1.331 0 0 10.567 -1.331 12.277 -1.199 1929 7 13.984 -1.866 0 0 13.984 -1.866 17.456 0.027 1929 8 13.544 -1.575 0 0 13.544 -1.575 17.903 1.205 1929 9 8.617 -2.992 0 0 8.617 -2.992 11.440 -1.748 1929 10 7.010 0.784 0 0 7.010 0.784 8.927 1.123 1929 11 0.537 -0.213 0 0 0.537 -0.213 1.769 -0.559 1929 12 0.350 2.675 0 0 0.350 2.675 2.276 3.022 1930 1 -9.665 -6.227 1 0 NaN NaN -8.559 -6.701 1930 2 1.791 2.347 0 0 1.791 2.347 4.096 3.073 1930 3 2.860 2.038 0 0 2.860 2.038 3.138 0.737 1930 4 6.503 2.866 0 0 6.503 2.866 7.340 2.123 1930 5 7.007 -0.856 0 0 7.007 -0.856 8.339 -1.104 1930 6 10.310 -1.587 0 0 10.310 -1.587 11.880 -1.596 1930 7 13.692 -2.158 0 0 13.692 -2.158 17.652 0.224 1930 8 13.950 -1.169 0 0 13.950 -1.169 17.343 0.645 1930 9 10.133 -1.475 0 0 10.133 -1.475 12.964 -0.224 1930 10 5.898 -0.327 0 0 5.898 -0.327 6.539 -1.265 1930 11 -0.020 -0.769 0 0 -0.020 -0.769 1.337 -0.992 1930 12 -4.177 -1.853 0 0 -4.177 -1.853 -2.282 -1.536 1931 1 -1.833 1.604 0 0 -1.833 1.604 0.181 2.039 1931 2 -0.333 0.223 0 0 -0.333 0.223 1.415 0.392 1931 3 2.333 1.512 0 0 2.333 1.512 2.612 0.212 1931 4 5.444 1.807 0 0 5.444 1.807 5.821 0.604 1931 5 9.778 1.914 0 0 9.778 1.914 11.816 2.373 1931 6 10.889 -1.008 0 0 10.889 -1.008 12.725 -0.752 1931 7 15.000 -0.850 0 0 15.000 -0.850 18.732 1.304 1931 8 14.222 -0.897 0 0 14.222 -0.897 17.262 0.564 1931 9 9.778 -1.830 0 0 9.778 -1.830 12.115 -1.072 1931 10 7.889 1.664 0 0 7.889 1.664 7.802 -0.002 1931 11 NaN NaN NaN NaN NaN NaN 0.297 -2.031 1931 12 -4.129 -1.804 1 0 NaN NaN -2.036 -1.290 1932 1 -4.056 -0.618 0 0 -4.056 -0.618 -2.447 -0.589 1932 2 -1.778 -1.222 0 0 -1.778 -1.222 -0.631 -1.654 1932 3 2.667 1.845 0 0 2.667 1.845 2.749 0.348 1932 4 4.556 0.918 0 0 4.556 0.918 5.116 -0.100 1932 5 8.667 0.803 0 0 8.667 0.803 9.157 -0.286 1932 6 12.722 0.825 0 0 12.722 0.825 13.881 0.404 1932 7 13.444 -2.405 0 0 13.444 -2.405 15.890 -1.539 1932 8 13.222 -1.897 0 0 13.222 -1.897 15.661 -1.037 1932 9 11.000 -0.608 0 0 11.000 -0.608 13.645 0.458 1932 10 7.444 1.219 0 0 7.444 1.219 8.761 0.956 1932 11 2.889 2.140 0 0 2.889 2.140 4.565 2.236 1932 12 -5.389 -3.064 0 0 -5.389 -3.064 -4.274 -3.528 1933 1 -4.833 -1.396 0 0 -4.833 -1.396 -2.101 -0.243 1933 2 -4.111 -3.555 0 0 -4.111 -3.555 -2.131 -3.154 1933 3 0.667 -0.155 0 0 0.667 -0.155 1.773 -0.628 1933 4 4.667 1.029 0 0 4.667 1.029 4.752 -0.465 1933 5 5.722 -2.141 0 0 5.722 -2.141 6.789 -2.653 1933 6 11.889 -0.008 0 0 11.889 -0.008 13.598 0.122 1933 7 15.000 -0.850 0 0 15.000 -0.850 18.390 0.961 1933 8 14.444 -0.674 0 0 14.444 -0.674 17.346 0.648 1933 9 9.000 -2.608 0 0 9.000 -2.608 11.480 -1.708 1933 10 7.556 1.330 0 0 7.556 1.330 10.223 2.419 1933 11 2.333 1.584 0 0 2.333 1.584 3.329 1.001 1933 12 1.444 3.769 0 0 1.444 3.769 3.509 4.255 1934 1 1.778 5.215 0 0 1.778 5.215 2.836 4.694 1934 2 2.611 3.167 0 0 2.611 3.167 4.351 3.328 1934 3 6.500 5.679 0 0 6.500 5.679 6.527 4.127 1934 4 9.111 5.473 0 0 9.111 5.473 9.342 4.125 1934 5 10.667 2.803 0 0 10.667 2.803 12.119 2.676 1934 6 10.889 -1.008 0 0 10.889 -1.008 12.774 -0.703 1934 7 14.389 -1.461 0 0 14.389 -1.461 17.544 0.116 1934 8 15.333 0.215 0 0 15.333 0.215 17.996 1.298 1934 9 10.778 -0.830 0 0 10.778 -0.830 12.985 -0.202 1934 10 7.167 0.941 0 0 7.167 0.941 9.358 1.554 1934 11 3.167 2.417 0 0 3.167 2.417 4.392 2.064 1934 12 -1.444 0.880 0 0 -1.444 0.880 -0.110 0.635 1935 1 -2.444 0.993 0 0 -2.444 0.993 -1.691 0.167 1935 2 -0.222 0.334 0 0 -0.222 0.334 1.687 0.664 1935 3 -0.056 -0.877 0 0 -0.056 -0.877 0.372 -2.028 1935 4 5.167 1.529 0 0 5.167 1.529 4.285 -0.932 1935 5 9.111 1.248 0 0 9.111 1.248 9.000 -0.442 1935 6 13.056 1.158 0 0 13.056 1.158 13.265 -0.211 1935 7 15.111 -0.738 0 0 15.111 -0.738 17.132 -0.296 1935 8 14.278 -0.841 0 0 14.278 -0.841 16.538 -0.160 1935 9 11.889 0.281 0 0 11.889 0.281 14.908 1.721 1935 10 5.000 -1.225 0 0 5.000 -1.225 7.127 -0.677 1935 11 -1.611 -2.360 0 0 -1.611 -2.360 -0.180 -2.508 1935 12 -2.056 0.269 0 0 -2.056 0.269 -1.506 -0.760 1936 1 -2.333 1.104 0 0 -2.333 1.104 -0.716 1.142 1936 2 -3.222 -2.666 0 0 -3.222 -2.666 -2.820 -3.843 1936 3 0.222 -0.599 0 0 0.222 -0.599 1.712 -0.689 1936 4 6.444 2.807 0 0 6.444 2.807 7.224 2.007 1936 5 8.944 1.081 0 0 8.944 1.081 11.386 1.944 1936 6 10.778 -1.120 0 0 10.778 -1.120 13.755 0.278 1936 7 13.889 -1.961 0 0 13.889 -1.961 17.905 0.476 1936 8 13.778 -1.341 0 0 13.778 -1.341 17.134 0.436 1936 9 10.000 -1.608 0 0 10.000 -1.608 12.649 -0.539 1936 10 5.222 -1.003 0 0 5.222 -1.003 9.457 1.652 1936 11 -2.222 -2.972 0 0 -2.222 -2.972 1.007 -1.321 1936 12 -2.500 -0.175 0 0 -2.500 -0.175 0.163 0.909 1937 1 -10.000 -6.563 1 0 NaN NaN -9.678 -7.820 1937 2 -1.444 -0.888 0 0 -1.444 -0.888 -0.380 -1.403 1937 3 2.500 1.679 0 0 2.500 1.679 2.753 0.353 1937 4 4.444 0.807 0 0 4.444 0.807 3.997 -1.219 1937 5 9.889 2.025 0 0 9.889 2.025 10.180 0.737 1937 6 12.556 0.658 0 0 12.556 0.658 13.326 -0.150 1937 7 16.222 0.373 0 0 16.222 0.373 18.169 0.740 1937 8 13.667 -1.452 0 0 13.667 -1.452 15.619 -1.079 1937 9 11.690 0.082 0 0 11.690 0.082 13.811 0.623 1937 10 7.444 1.219 0 0 7.444 1.219 9.822 2.018 1937 11 3.333 2.584 0 0 3.333 2.584 4.235 1.906 1937 12 1.000 3.325 0 0 1.000 3.325 1.842 2.588 1938 1 -1.056 2.382 0 0 -1.056 2.382 -0.383 1.475 1938 2 -1.889 -1.333 0 0 -1.889 -1.333 0.266 -0.757 1938 3 0.222 -0.599 0 0 0.222 -0.599 1.319 -1.082 1938 4 5.778 2.140 0 0 5.778 2.140 5.780 0.563 1938 5 8.667 0.803 0 0 8.667 0.803 9.613 0.171 1938 6 12.778 0.880 0 0 12.778 0.880 14.068 0.592 1938 7 15.889 0.039 0 0 15.889 0.039 18.942 1.514 1938 8 13.222 -1.897 0 0 13.222 -1.897 15.563 -1.134 1938 9 12.778 1.170 0 0 12.778 1.170 15.371 2.184 1938 10 NaN NaN NaN NaN NaN NaN 8.294 0.490 1938 11 -0.667 -1.416 0 0 -0.667 -1.416 0.154 -2.174 1938 12 -2.222 0.103 0 0 -2.222 0.103 0.036 0.781 1939 1 -1.444 1.993 0 0 -1.444 1.993 0.071 1.929 1939 2 -2.833 -2.277 0 0 -2.833 -2.277 -0.660 -1.683 1939 3 2.444 1.623 0 0 2.444 1.623 3.357 0.957 1939 4 7.333 3.696 0 0 7.333 3.696 7.275 2.058 1939 5 9.556 1.692 0 0 9.556 1.692 11.117 1.674 1939 6 10.889 -1.008 0 0 10.889 -1.008 11.789 -1.687 1939 7 15.556 -0.294 0 0 15.556 -0.294 18.494 1.066 1939 8 14.667 -0.452 0 0 14.667 -0.452 17.672 0.974 1939 9 12.222 0.614 0 0 12.222 0.614 14.059 0.871 1939 10 7.463 1.238 1 0 NaN NaN 8.616 0.811 1939 11 2.333 1.584 0 0 2.333 1.584 3.577 1.248 1939 12 1.056 3.380 0 0 1.056 3.380 2.690 3.435 1940 1 -2.000 1.437 0 0 -2.000 1.437 -1.818 0.040 1940 2 0.444 1.001 0 0 0.444 1.001 2.886 1.863 1940 3 4.111 3.290 0 0 4.111 3.290 4.355 1.954 1940 4 6.222 2.585 0 0 6.222 2.585 5.962 0.746 1940 5 10.222 2.359 0 0 10.222 2.359 11.463 2.021 1940 6 14.222 2.325 0 0 14.222 2.325 15.084 1.608 1940 7 14.889 -0.961 0 0 14.889 -0.961 17.598 0.169 1940 8 14.667 -0.452 0 0 14.667 -0.452 17.536 0.839 1940 9 11.111 -0.497 0 0 11.111 -0.497 13.743 0.556 1940 10 8.056 1.830 0 0 8.056 1.830 9.650 1.846 1940 11 0.778 0.028 0 0 0.778 0.028 0.811 -1.517 1940 12 -0.889 1.436 0 0 -0.889 1.436 0.159 0.905 1941 1 -0.667 2.770 0 0 -0.667 2.770 -0.108 1.750 1941 2 1.111 1.667 0 0 1.111 1.667 2.944 1.921 1941 3 4.000 3.179 0 0 4.000 3.179 4.001 1.600 1941 4 5.444 1.807 0 0 5.444 1.807 5.885 0.669 1941 5 9.556 1.692 0 0 9.556 1.692 9.970 0.527 1941 6 10.778 -1.120 0 0 10.778 -1.120 12.298 -1.178 1941 7 15.556 -0.294 0 0 15.556 -0.294 18.856 1.428 1941 8 14.111 -1.008 0 0 14.111 -1.008 16.541 -0.157 1941 9 9.556 -2.053 0 0 9.556 -2.053 11.114 -2.073 1941 10 5.889 -0.336 0 0 5.889 -0.336 7.728 -0.076 1941 11 2.889 2.140 0 0 2.889 2.140 4.376 2.048 1941 12 -1.000 1.325 0 0 -1.000 1.325 0.393 1.139 1942 1 -3.444 -0.007 0 0 -3.444 -0.007 -4.985 -3.127 1942 2 -0.333 0.223 0 0 -0.333 0.223 0.608 -0.415 1942 3 2.222 1.401 0 0 2.222 1.401 1.936 -0.465 1942 4 5.833 2.196 0 0 5.833 2.196 5.884 0.667 1942 5 7.222 -0.641 0 0 7.222 -0.641 8.434 -1.009 1942 6 10.722 -1.175 0 0 10.722 -1.175 11.573 -1.903 1942 7 16.056 0.206 0 0 16.056 0.206 18.591 1.163 1942 8 15.333 0.215 0 0 15.333 0.215 17.696 0.998 1942 9 11.778 0.170 0 0 11.778 0.170 14.153 0.965 1942 10 NaN NaN NaN NaN NaN NaN 9.259 1.455 1942 11 NaN NaN NaN NaN NaN NaN 2.381 0.052 1942 12 NaN NaN NaN NaN NaN NaN 1.185 1.931 1943 1 NaN NaN NaN NaN NaN NaN -4.132 -2.274 1943 2 NaN NaN NaN NaN NaN NaN 1.835 0.812 1943 3 NaN NaN NaN NaN NaN NaN 1.639 -0.761 1943 4 NaN NaN NaN NaN NaN NaN 6.789 1.572 1943 5 NaN NaN NaN NaN NaN NaN 7.996 -1.447 1943 6 NaN NaN NaN NaN NaN NaN 10.911 -2.565 1943 7 NaN NaN NaN NaN NaN NaN 17.661 0.233 1943 8 NaN NaN NaN NaN NaN NaN 15.435 -1.263 1943 9 NaN NaN NaN NaN NaN NaN 15.669 2.482