% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40666 % Primary Name: NELSCOTT % Record Type: TAVG % Country: United States % State: OR % Latitude: 44.95000 +/- 0.00500 % Longitude: -124.00000 +/- 0.00500 % Elevation (m): 11.58 +/- 0.15 % # of Months: 69 % % Alternate Names: Missing Station ID - 355980 % % IDs: coop - 355980 % ghcnd - USC00355980 % ncdc - 12004438 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 67902a64fbcd2b21d4a310967bba3130 % Raw Data Hash: 2af1c8118fc3b99053bad544a4dc6587 % Adj Data Hash: 97ff6b1dcc0a8cbb4b8edf219a0b06f0 % % 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 8 NaN NaN NaN NaN NaN NaN 16.931 0.665 1930 9 NaN NaN NaN NaN NaN NaN 14.712 -0.020 1930 10 NaN NaN NaN NaN NaN NaN 9.975 -0.777 1930 11 NaN NaN NaN NaN NaN NaN 6.641 -0.019 1930 12 NaN NaN NaN NaN NaN NaN 4.485 0.086 1931 1 NaN NaN NaN NaN NaN NaN 5.802 2.307 1931 2 NaN NaN NaN NaN NaN NaN 6.523 0.960 1931 3 NaN NaN NaN NaN NaN NaN 7.180 0.821 1931 4 NaN NaN NaN NaN NaN NaN 9.566 1.213 1931 5 NaN NaN NaN NaN NaN NaN 13.479 1.988 1931 6 NaN NaN NaN NaN NaN NaN 14.079 -0.065 1931 7 NaN NaN NaN NaN NaN NaN 17.172 0.872 1931 8 15.406 -1.642 1 0 NaN NaN 16.485 0.218 1931 9 NaN NaN NaN NaN NaN NaN 14.405 -0.327 1931 10 11.756 0.223 0 0 11.713 0.180 10.931 0.179 1931 11 8.206 0.765 0 0 8.163 0.722 5.222 -1.438 1931 12 6.618 1.438 0 0 6.575 1.395 3.764 -0.635 1932 1 5.344 1.067 0 0 5.300 1.024 2.859 -0.636 1932 2 6.126 -0.218 0 0 6.082 -0.261 4.575 -0.987 1932 3 8.671 1.530 0 0 8.628 1.487 6.711 0.351 1932 4 9.562 0.428 0 0 9.518 0.384 8.463 0.110 1932 5 11.229 -1.043 0 0 11.186 -1.087 11.076 -0.415 1932 6 13.345 -1.580 0 0 13.302 -1.623 14.868 0.725 1932 7 13.431 -3.651 0 0 13.387 -3.694 14.792 -1.508 1932 8 14.777 -2.270 0 0 14.734 -2.313 16.117 -0.149 1932 9 NaN NaN NaN NaN NaN NaN 15.162 0.430 1932 10 NaN NaN NaN NaN NaN NaN 11.693 0.941 1932 11 11.269 3.827 1 0 NaN NaN 7.915 1.254 1932 12 4.310 -0.870 0 1 4.592 -0.588 2.534 -1.865 1933 1 5.687 1.411 0 0 5.969 1.693 2.714 -0.781 1933 2 5.418 -0.926 0 0 5.700 -0.644 3.223 -2.340 1933 3 7.611 0.471 0 0 7.893 0.753 5.806 -0.554 1933 4 8.593 -0.541 0 0 8.875 -0.259 7.752 -0.601 1933 5 10.258 -2.014 0 0 10.540 -1.732 9.485 -2.006 1933 6 12.760 -2.165 0 0 13.042 -1.883 13.227 -0.917 1933 7 13.368 -3.714 0 0 13.650 -3.432 15.512 -0.788 1933 8 14.419 -2.628 0 0 14.701 -2.346 16.864 0.598 1933 9 12.375 -3.138 0 0 12.657 -2.856 13.115 -1.617 1933 10 10.961 -0.572 0 0 11.243 -0.290 11.495 0.742 1933 11 8.778 1.337 0 0 9.060 1.619 7.064 0.404 1933 12 8.946 3.766 0 0 9.228 4.048 6.944 2.545 1934 1 8.234 3.958 0 0 8.516 4.240 6.585 3.090 1934 2 9.505 3.162 0 0 9.787 3.444 8.902 3.339 1934 3 10.455 3.314 0 0 10.737 3.596 9.650 3.290 1934 4 11.226 2.092 1 0 NaN NaN 11.495 3.142 1934 5 13.157 0.885 0 0 13.439 1.167 13.211 1.720 1934 6 13.720 -1.205 0 0 14.002 -0.923 14.005 -0.138 1934 7 15.194 -1.888 0 0 15.475 -1.606 15.713 -0.587 1934 8 15.397 -1.650 0 0 15.679 -1.368 16.745 0.478 1934 9 13.773 -1.740 0 0 14.055 -1.458 14.643 -0.089 1934 10 11.773 0.239 0 0 12.055 0.521 11.937 1.185 1934 11 10.152 2.710 0 0 10.433 2.992 8.473 1.813 1934 12 8.081 2.901 0 0 8.363 3.183 5.737 1.338 1935 1 NaN NaN NaN NaN NaN NaN 3.361 -0.134 1935 2 NaN NaN NaN NaN NaN NaN 7.085 1.522 1935 3 NaN NaN NaN NaN NaN NaN 4.283 -2.076 1935 4 NaN NaN NaN NaN NaN NaN 7.972 -0.381 1935 5 11.142 -1.130 1 0 NaN NaN 11.152 -0.339 1935 6 13.613 -1.311 0 1 13.396 -1.528 14.456 0.313 1935 7 14.176 -2.905 0 0 13.959 -3.122 15.814 -0.486 1935 8 NaN NaN NaN NaN NaN NaN 16.070 -0.197 1935 9 NaN NaN NaN NaN NaN NaN 15.688 0.956 1935 10 10.262 -1.271 0 0 10.045 -1.488 9.630 -1.122 1935 11 6.168 -1.273 0 0 5.951 -1.490 4.587 -2.073 1935 12 6.782 1.602 0 0 6.565 1.385 4.863 0.463 1936 1 NaN NaN NaN NaN NaN NaN 5.106 1.611 1936 2 4.622 -1.722 1 0 NaN NaN 2.213 -3.350 1936 3 6.847 -0.294 0 0 6.630 -0.511 5.007 -1.352 1936 4 10.064 0.930 0 0 9.847 0.713 9.567 1.214 1936 5 12.479 0.207 0 0 12.262 -0.010 12.822 1.331 1936 6 15.396 0.471 0 0 15.179 0.254 14.862 0.719 1936 7 16.000 -1.081 0 0 15.783 -1.298 16.297 -0.003 1936 8 15.555 -1.493 0 0 15.338 -1.709 16.892 0.626 1936 9 15.515 0.002 0 0 15.298 -0.215 14.441 -0.291 1936 10 13.247 1.714 0 0 13.030 1.497 12.135 1.383 1936 11 7.647 0.205 0 0 7.430 -0.011 5.934 -0.726 1936 12 7.339 2.159 0 0 7.122 1.942 5.300 0.901 1937 1 1.520 -2.756 0 0 1.303 -2.973 -1.738 -5.233 1937 2 6.520 0.176 0 0 6.303 -0.041 4.430 -1.132 1937 3 10.053 2.913 0 0 9.836 2.696 7.270 0.910 1937 4 8.733 -0.401 0 0 8.516 -0.618 7.022 -1.331 1937 5 10.924 -1.348 0 0 10.707 -1.565 11.423 -0.068 1937 6 14.492 -0.433 0 0 14.275 -0.650 14.822 0.678 1937 7 15.985 -1.096 0 0 15.769 -1.313 16.193 -0.108 1937 8 15.882 -1.165 0 0 15.665 -1.382 15.505 -0.761 1937 9 15.034 -0.479 0 0 14.817 -0.696 15.053 0.321 1937 10 12.850 1.317 0 0 12.633 1.100 12.596 1.844 1937 11 10.315 2.874 0 0 10.098 2.657 8.190 1.530 1937 12 8.539 3.359 0 0 8.322 3.142 5.724 1.325 1938 1 7.839 3.563 0 0 7.622 3.346 4.224 0.729 1938 2 7.759 1.415 0 0 7.542 1.198 5.503 -0.059 1938 3 NaN NaN NaN NaN NaN NaN 5.691 -0.668 1938 4 NaN NaN NaN NaN NaN NaN 8.898 0.545 1938 5 NaN NaN NaN NaN NaN NaN 11.531 0.040 1938 6 NaN NaN NaN NaN NaN NaN 14.224 0.080 1938 7 NaN NaN NaN NaN NaN NaN 16.858 0.558 1938 8 NaN NaN NaN NaN NaN NaN 14.760 -1.507 1938 9 NaN NaN NaN NaN NaN NaN 16.303 1.571 1938 10 NaN NaN NaN NaN NaN NaN 11.305 0.553 1938 11 NaN NaN NaN NaN NaN NaN 5.583 -1.078 1938 12 NaN NaN NaN NaN NaN NaN 4.936 0.537 1939 1 NaN NaN NaN NaN NaN NaN 4.766 1.271 1939 2 NaN NaN NaN NaN NaN NaN 4.047 -1.516