% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41136 % Primary Name: MCNAMURS % Record Type: TAVG % Country: United States % State: OR % Latitude: 45.60000 +/- 0.00005 % Longitude: -123.48330 +/- 0.00005 % Elevation (m): 256.00 +/- 0.05 % # of Months: 69 % % Alternate Names: Missing Station ID - 355387 % % IDs: coop - 355387 % ghcnd - USC00355387 % ncdc - 20016431 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 820e58f8d70b8420fbc25d5775664f40 % Raw Data Hash: be6ea83d0374a3f07c62f7bbf334bdc6 % Adj Data Hash: 9a6bc2860c7c31099d09a9926beedefc % % 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 1935 12 NaN NaN NaN NaN NaN NaN 4.863 0.463 1936 1 NaN NaN NaN NaN NaN NaN 5.106 1.611 1936 2 NaN NaN NaN NaN NaN NaN 2.213 -3.350 1936 3 NaN NaN NaN NaN NaN NaN 5.007 -1.352 1936 4 NaN NaN NaN NaN NaN NaN 9.567 1.214 1936 5 NaN NaN NaN NaN NaN NaN 12.822 1.331 1936 6 NaN NaN NaN NaN NaN NaN 14.862 0.719 1936 7 NaN NaN NaN NaN NaN NaN 16.297 -0.003 1936 8 NaN NaN NaN NaN NaN NaN 16.892 0.626 1936 9 NaN NaN NaN NaN NaN NaN 14.441 -0.291 1936 10 NaN NaN NaN NaN NaN NaN 12.135 1.383 1936 11 NaN NaN NaN NaN NaN NaN 5.934 -0.726 1936 12 5.556 0.632 0 0 5.556 0.632 5.300 0.901 1937 1 -1.667 -5.686 0 0 -1.667 -5.686 -1.738 -5.233 1937 2 2.667 -3.420 0 0 2.667 -3.420 4.430 -1.132 1937 3 6.000 -0.884 0 0 6.000 -0.884 7.270 0.910 1937 4 6.889 -1.988 0 0 6.889 -1.988 7.022 -1.331 1937 5 12.111 0.096 0 0 12.111 0.096 11.423 -0.068 1937 6 16.222 1.555 0 0 16.222 1.555 14.822 0.678 1937 7 18.500 1.676 0 0 18.500 1.676 16.193 -0.108 1937 8 17.333 0.543 0 0 17.333 0.543 15.505 -0.761 1937 9 15.425 0.169 0 0 15.425 0.169 15.053 0.321 1937 10 11.556 0.279 0 0 11.556 0.279 12.596 1.844 1937 11 7.778 0.593 0 0 7.778 0.593 8.190 1.530 1937 12 5.278 0.355 0 0 5.278 0.355 5.724 1.325 1938 1 3.889 -0.130 0 0 3.889 -0.130 4.224 0.729 1938 2 3.611 -2.476 0 0 3.611 -2.476 5.503 -0.059 1938 3 5.222 -1.661 0 0 5.222 -1.661 5.691 -0.668 1938 4 9.000 0.123 0 0 9.000 0.123 8.898 0.545 1938 5 12.333 0.318 0 0 12.333 0.318 11.531 0.040 1938 6 16.000 1.332 0 0 16.000 1.332 14.224 0.080 1938 7 19.167 2.342 0 0 19.167 2.342 16.858 0.558 1938 8 16.222 -0.568 0 0 16.222 -0.568 14.760 -1.507 1938 9 16.778 1.522 1 0 NaN NaN 16.303 1.571 1938 10 10.111 -1.165 0 0 10.111 -1.165 11.305 0.553 1938 11 4.778 -2.407 0 0 4.778 -2.407 5.583 -1.078 1938 12 4.444 -0.479 0 0 4.444 -0.479 4.936 0.537 1939 1 4.333 0.314 0 0 4.333 0.314 4.766 1.271 1939 2 2.333 -3.753 0 0 2.333 -3.753 4.047 -1.516 1939 3 7.056 0.172 0 0 7.056 0.172 6.525 0.165 1939 4 10.611 1.734 0 0 10.611 1.734 9.323 0.970 1939 5 12.722 0.707 0 0 12.722 0.707 11.886 0.395 1939 6 13.556 -1.112 0 0 13.556 -1.112 12.783 -1.361 1939 7 18.056 1.231 0 0 18.056 1.231 16.334 0.033 1939 8 18.444 1.654 0 0 18.444 1.654 16.656 0.389 1939 9 NaN NaN NaN NaN NaN NaN 15.334 0.601 1939 10 11.222 -0.054 0 0 11.222 -0.054 11.311 0.559 1939 11 7.889 0.705 0 0 7.889 0.705 7.911 1.250 1939 12 7.222 2.299 0 0 7.222 2.299 7.114 2.715 1940 1 4.278 0.259 0 0 4.278 0.259 4.508 1.013 1940 2 6.222 0.136 0 0 6.222 0.136 7.287 1.725 1940 3 8.833 1.950 0 0 8.833 1.950 8.124 1.764 1940 4 10.556 1.679 0 0 10.556 1.679 9.367 1.014 1940 5 15.111 3.096 0 0 15.111 3.096 13.087 1.595 1940 6 17.944 3.277 0 0 17.944 3.277 15.135 0.992 1940 7 17.722 0.898 0 0 17.722 0.898 16.397 0.097 1940 8 19.000 2.210 0 0 19.000 2.210 17.032 0.766 1940 9 16.667 1.411 1 0 NaN NaN 16.009 1.277 1940 10 11.667 0.390 0 0 11.667 0.390 12.478 1.725 1940 11 5.444 -1.740 0 0 5.444 -1.740 5.495 -1.166 1940 12 6.333 1.410 0 0 6.333 1.410 5.666 1.267 1941 1 5.111 1.092 0 0 5.111 1.092 5.234 1.738 1941 2 7.000 0.913 0 0 7.000 0.913 7.951 2.389 1941 3 10.167 3.283 0 0 10.167 3.283 9.430 3.070 1941 4 10.889 2.012 0 0 10.889 2.012 9.488 1.135 1941 5 12.389 0.374 0 0 12.389 0.374 11.939 0.447 1941 6 15.167 0.499 0 0 15.167 0.499 14.079 -0.065 1941 7 20.000 3.176 0 0 20.000 3.176 18.193 1.893 1941 8 17.556 0.765 0 0 17.556 0.765 16.252 -0.014 1941 9 14.000 -1.256 0 0 14.000 -1.256 13.791 -0.941 1941 10 11.056 -0.221 0 0 11.056 -0.221 11.178 0.426 1941 11 9.500 2.316 0 0 9.500 2.316 7.892 1.232 1941 12 6.222 1.299 0 0 6.222 1.299 5.266 0.867 1942 1 4.222 0.203 0 0 4.222 0.203 2.619 -0.876 1942 2 5.667 -0.420 0 0 5.667 -0.420 6.033 0.470 1942 3 6.944 0.061 0 0 6.944 0.061 6.066 -0.294 1942 4 10.222 1.345 0 0 10.222 1.345 8.898 0.545 1942 5 12.778 0.762 0 0 12.778 0.762 11.187 -0.304 1942 6 14.778 0.110 0 0 14.778 0.110 13.299 -0.844 1942 7 19.111 2.287 0 0 19.111 2.287 17.737 1.437 1942 8 19.389 2.599 0 0 19.389 2.599 17.499 1.232 1942 9 16.722 1.466 1 0 NaN NaN 15.259 0.527 1942 10 NaN NaN NaN NaN NaN NaN 11.683 0.931 1942 11 NaN NaN NaN NaN NaN NaN 6.225 -0.435 1942 12 NaN NaN NaN NaN NaN NaN 5.640 1.241 1943 1 NaN NaN NaN NaN NaN NaN 1.066 -2.429 1943 2 NaN NaN NaN NaN NaN NaN 6.923 1.361 1943 3 NaN NaN NaN NaN NaN NaN 5.651 -0.709 1943 4 NaN NaN NaN NaN NaN NaN 9.338 0.985 1943 5 NaN NaN NaN NaN NaN NaN 10.382 -1.109 1943 6 NaN NaN NaN NaN NaN NaN 13.217 -0.926 1943 7 NaN NaN NaN NaN NaN NaN 15.969 -0.332 1943 8 NaN NaN NaN NaN NaN NaN 15.450 -0.817 1943 9 NaN NaN NaN NaN NaN NaN 16.295 1.563