% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37898 % Primary Name: DAIRY 4 NNE YONNA % Record Type: TAVG % Country: United States % State: OR % Latitude: 42.26670 +/- 0.00005 % Longitude: -121.46670 +/- 0.00005 % Elevation (m): 1266.10 +/- 0.05 % # of Months: 34 % % Alternate Names: DAIRY 3 NE YONNA % % IDs: coop - 352018 % ghcnd - USC00352018 % ncdc - 20015741 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 566b0319bfef78730f3e7586c8f5eaa7 % Raw Data Hash: 2f9eac60d71d0831eecdfe3df25bcfb3 % Adj Data Hash: c2454db7dde0508ef7f4609dda1d6642 % % 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 1948 1 NaN NaN NaN NaN NaN NaN 0.898 1.100 1948 2 NaN NaN NaN NaN NaN NaN 0.591 -1.446 1948 3 NaN NaN NaN NaN NaN NaN 1.248 -1.912 1948 4 NaN NaN NaN NaN NaN NaN 3.203 -2.550 1948 5 NaN NaN NaN NaN NaN NaN 8.520 -1.385 1948 6 NaN NaN NaN NaN NaN NaN 14.297 0.421 1948 7 NaN NaN NaN NaN NaN NaN 16.558 -1.333 1948 8 NaN NaN NaN NaN NaN NaN 15.762 -1.571 1948 9 NaN NaN NaN NaN NaN NaN 13.435 -0.935 1948 10 NaN NaN NaN NaN NaN NaN 9.107 0.250 1948 11 NaN NaN NaN NaN NaN NaN 2.196 -1.316 1948 12 NaN NaN NaN NaN NaN NaN -2.459 -2.839 1949 1 -12.167 -11.335 1 0 NaN NaN -5.712 -5.510 1949 2 NaN NaN NaN NaN NaN NaN 0.085 -1.952 1949 3 NaN NaN NaN NaN NaN NaN 2.678 -0.482 1949 4 NaN NaN NaN NaN NaN NaN 7.740 1.987 1949 5 NaN NaN NaN NaN NaN NaN 11.306 1.401 1949 6 NaN NaN NaN NaN NaN NaN 13.807 -0.069 1949 7 NaN NaN NaN NaN NaN NaN 17.684 -0.207 1949 8 NaN NaN NaN NaN NaN NaN 16.258 -1.075 1949 9 NaN NaN NaN NaN NaN NaN 15.169 0.799 1949 10 NaN NaN NaN NaN NaN NaN 7.086 -1.771 1949 11 NaN NaN NaN NaN NaN NaN 6.091 2.579 1949 12 NaN NaN NaN NaN NaN NaN -0.592 -0.971 1950 1 NaN NaN NaN NaN NaN NaN -3.624 -3.422 1950 2 NaN NaN NaN NaN NaN NaN 2.070 0.033 1950 3 NaN NaN NaN NaN NaN NaN 1.937 -1.224 1950 4 NaN NaN NaN NaN NaN NaN 5.216 -0.537 1950 5 NaN NaN NaN NaN NaN NaN 9.719 -0.187 1950 6 21.525 8.278 1 0 NaN NaN 13.031 -0.846 1950 7 18.500 1.239 0 0 18.500 1.239 18.486 0.595 1950 8 17.667 0.963 0 0 17.667 0.963 18.389 1.056 1950 9 13.333 -0.407 0 0 13.333 -0.407 14.546 0.177 1950 10 8.056 -0.171 0 0 8.056 -0.171 9.190 0.334 1950 11 5.278 2.395 0 0 5.278 2.395 5.197 1.685 1950 12 2.389 2.639 0 0 2.389 2.639 4.014 3.634 1951 1 -1.889 -1.057 0 0 -1.889 -1.057 -0.482 -0.280 1951 2 1.056 -0.352 0 0 1.056 -0.352 2.324 0.287 1951 3 1.111 -1.419 0 0 1.111 -1.419 1.332 -1.828 1951 4 8.611 3.488 0 0 8.611 3.488 8.046 2.292 1951 5 10.111 0.836 0 0 10.111 0.836 10.074 0.169 1951 6 15.222 1.975 0 0 15.222 1.975 14.874 0.997 1951 7 17.833 0.572 0 0 17.833 0.572 18.614 0.723 1951 8 16.833 0.130 0 0 16.833 0.130 17.234 -0.099 1951 9 14.167 0.426 0 0 14.167 0.426 16.025 1.655 1951 10 6.444 -1.782 0 0 6.444 -1.782 8.099 -0.757 1951 11 2.278 -0.605 0 0 2.278 -0.605 3.681 0.168 1951 12 -7.987 -7.737 1 0 NaN NaN -1.499 -1.879 1952 1 -3.278 -2.446 0 0 -3.278 -2.446 -2.077 -1.874 1952 2 -1.500 -2.907 0 0 -1.500 -2.907 1.222 -0.815 1952 3 0.778 -1.753 0 0 0.778 -1.753 0.676 -2.484 1952 4 7.778 2.654 0 0 7.778 2.654 6.988 1.235 1952 5 10.833 1.558 0 0 10.833 1.558 10.384 0.478 1952 6 12.833 -0.414 0 0 12.833 -0.414 11.763 -2.114 1952 7 18.722 1.461 0 0 18.722 1.461 19.332 1.441 1952 8 16.611 -0.092 0 0 16.611 -0.092 17.208 -0.125 1952 9 14.682 0.942 1 0 NaN NaN 16.478 2.108 1952 10 7.069 -1.158 1 0 NaN NaN 11.943 3.086 1952 11 0.611 -2.272 0 0 0.611 -2.272 1.398 -2.115 1952 12 -2.006 -1.756 1 0 NaN NaN 0.010 -0.370 1953 1 3.000 3.832 0 0 3.000 3.832 2.745 2.947 1953 2 1.000 -0.407 0 0 1.000 -0.407 2.740 0.702 1953 3 NaN NaN NaN NaN NaN NaN 2.348 -0.812 1953 4 NaN NaN NaN NaN NaN NaN 4.960 -0.794 1953 5 NaN NaN NaN NaN NaN NaN 7.120 -2.786 1953 6 NaN NaN NaN NaN NaN NaN 10.259 -3.618 1953 7 NaN NaN NaN NaN NaN NaN 17.782 -0.109 1953 8 NaN NaN NaN NaN NaN NaN 16.313 -1.020 1953 9 NaN NaN NaN NaN NaN NaN 16.512 2.142 1953 10 NaN NaN NaN NaN NaN NaN 8.905 0.049 1953 11 NaN NaN NaN NaN NaN NaN 5.861 2.348 1953 12 NaN NaN NaN NaN NaN NaN 1.625 1.245 1954 1 NaN NaN NaN NaN NaN NaN 0.344 0.546 1954 2 NaN NaN NaN NaN NaN NaN 4.041 2.003