% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39470 % Primary Name: FIFE % Record Type: TAVG % Country: United States % State: OR % Latitude: 43.71670 +/- 0.00005 % Longitude: -119.95000 +/- 0.00005 % Elevation (m): 1028.70 +/- 0.15 % # of Months: 49 % % Alternate Names: Missing Station ID - 352882 % % IDs: coop - 352882 % ghcnd - USC00352882 % ncdc - 12004361 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a7b85fbe5f4d13f83f2ab2c3f197d74e % Raw Data Hash: 17d87e6b907908aa0c3e3799ba72396e % Adj Data Hash: 9cbd918f98f30ada2d33ce9ad5729a3e % % 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 1891 3 NaN NaN NaN NaN NaN NaN 0.327 -2.073 1891 4 NaN NaN NaN NaN NaN NaN 5.829 0.612 1891 5 NaN NaN NaN NaN NaN NaN 11.044 1.602 1891 6 NaN NaN NaN NaN NaN NaN 11.252 -2.225 1891 7 NaN NaN NaN NaN NaN NaN 17.495 0.067 1891 8 NaN NaN NaN NaN NaN NaN 17.731 1.033 1891 9 NaN NaN NaN NaN NaN NaN 12.298 -0.889 1891 10 NaN NaN NaN NaN NaN NaN 9.244 1.440 1891 11 NaN NaN NaN NaN NaN NaN 3.869 1.541 1891 12 NaN NaN NaN NaN NaN NaN -1.249 -0.504 1892 1 NaN NaN NaN NaN NaN NaN -2.425 -0.567 1892 2 NaN NaN NaN NaN NaN NaN 1.160 0.137 1892 3 3.329 1.277 0 0 3.329 1.277 3.592 1.191 1892 4 3.052 -1.817 0 0 3.052 -1.817 3.040 -2.176 1892 5 8.618 -0.477 0 0 8.618 -0.477 9.663 0.220 1892 6 11.586 -1.543 0 0 11.586 -1.543 12.408 -1.069 1892 7 NaN NaN NaN NaN NaN NaN 15.885 -1.544 1892 8 14.764 -1.586 0 0 14.764 -1.586 16.143 -0.554 1892 9 11.139 -1.700 1 0 NaN NaN 13.420 0.233 1892 10 7.060 -0.397 1 0 NaN NaN 7.916 0.111 1892 11 NaN NaN NaN NaN NaN NaN 3.210 0.881 1892 12 NaN NaN NaN NaN NaN NaN -1.672 -0.927 1893 1 NaN NaN NaN NaN NaN NaN -4.318 -2.460 1893 2 NaN NaN NaN NaN NaN NaN -2.282 -3.305 1893 3 -0.103 -2.156 0 0 -0.103 -2.156 0.443 -1.958 1893 4 3.195 -1.674 0 0 3.195 -1.674 2.742 -2.474 1893 5 NaN NaN NaN NaN NaN NaN 8.334 -1.109 1893 6 NaN NaN NaN NaN NaN NaN 10.778 -2.698 1893 7 NaN NaN NaN NaN NaN NaN 16.011 -1.418 1893 8 15.737 -0.613 1 0 NaN NaN 16.363 -0.335 1893 9 NaN NaN NaN NaN NaN NaN 11.072 -2.115 1893 10 NaN NaN NaN NaN NaN NaN 5.909 -1.895 1893 11 NaN NaN NaN NaN NaN NaN 1.984 -0.344 1893 12 NaN NaN NaN NaN NaN NaN 1.347 2.092 1894 1 NaN NaN NaN NaN NaN NaN -1.623 0.235 1894 2 NaN NaN NaN NaN NaN NaN -2.254 -3.277 1894 3 0.611 -1.441 0 0 0.611 -1.441 1.053 -1.348 1894 4 5.430 0.562 1 0 NaN NaN 4.609 -0.607 1894 5 9.403 0.309 0 0 9.403 0.309 9.458 0.016 1894 6 NaN NaN NaN NaN NaN NaN 11.135 -2.342 1894 7 NaN NaN NaN NaN NaN NaN 17.633 0.204 1894 8 NaN NaN NaN NaN NaN NaN 17.906 1.208 1894 9 NaN NaN NaN NaN NaN NaN 11.486 -1.702 1894 10 NaN NaN NaN NaN NaN NaN 7.806 0.002 1894 11 NaN NaN NaN NaN NaN NaN 4.503 2.175 1894 12 NaN NaN NaN NaN NaN NaN -2.163 -1.417 1895 1 NaN NaN NaN NaN NaN NaN -3.212 -1.354 1895 2 NaN NaN NaN NaN NaN NaN 1.434 0.411 1895 3 0.488 -1.565 0 0 0.488 -1.565 1.154 -1.247 1895 4 NaN NaN NaN NaN NaN NaN 5.829 0.613 1895 5 7.359 -1.736 0 0 7.359 -1.736 9.139 -0.304 1895 6 11.835 -1.294 0 0 11.835 -1.294 13.013 -0.464 1895 7 15.531 -1.550 0 0 15.531 -1.550 16.331 -1.098 1895 8 16.166 -0.185 0 0 16.166 -0.185 16.018 -0.680 1895 9 10.103 -2.736 0 0 10.103 -2.736 10.262 -2.925 1895 10 9.889 2.432 0 0 9.889 2.432 9.041 1.236 1895 11 1.378 -0.602 0 0 1.378 -0.602 1.169 -1.160 1895 12 -2.692 -1.598 0 0 -2.692 -1.598 -1.206 -0.460 1896 1 0.780 2.986 0 0 0.780 2.986 -0.035 1.823 1896 2 2.776 2.101 0 0 2.776 2.101 3.108 2.085 1896 3 1.607 -0.446 0 0 1.607 -0.446 1.484 -0.917 1896 4 2.080 -2.789 0 0 2.080 -2.789 2.459 -2.758 1896 5 5.740 -3.354 0 0 5.740 -3.354 6.950 -2.493 1896 6 13.567 0.438 0 0 13.567 0.438 13.413 -0.063 1896 7 19.371 2.291 0 0 19.371 2.291 19.523 2.094 1896 8 16.765 0.414 0 0 16.765 0.414 16.691 -0.007 1896 9 11.973 -0.866 0 0 11.973 -0.866 11.954 -1.233 1896 10 8.978 1.522 0 0 8.978 1.522 8.299 0.494 1896 11 -0.655 -2.636 0 0 -0.655 -2.636 -1.284 -3.612 1896 12 2.329 3.422 0 0 2.329 3.422 1.678 2.423 1897 1 -1.037 1.169 0 0 -1.037 1.169 -1.916 -0.058 1897 2 -1.720 -2.395 0 0 -1.720 -2.395 0.809 -0.214 1897 3 -3.031 -5.084 1 0 NaN NaN -1.182 -3.582 1897 4 6.905 2.036 0 0 6.905 2.036 6.480 1.263 1897 5 11.258 2.163 0 0 11.258 2.163 12.264 2.821 1897 6 10.305 -2.824 0 0 10.305 -2.824 12.359 -1.117 1897 7 NaN NaN NaN NaN NaN NaN 15.713 -1.715 1897 8 19.055 2.705 1 0 NaN NaN 18.465 1.767 1897 9 11.136 -1.703 0 0 11.136 -1.703 11.590 -1.597 1897 10 6.705 -0.752 0 0 6.705 -0.752 7.670 -0.134 1897 11 2.344 0.363 0 0 2.344 0.363 2.239 -0.089 1897 12 -0.543 0.551 0 0 -0.543 0.551 -0.112 0.634 1898 1 -4.060 -1.855 0 0 -4.060 -1.855 -3.181 -1.323 1898 2 0.078 -0.597 1 0 NaN NaN 3.363 2.340 1898 3 -0.618 -2.671 1 0 NaN NaN 0.369 -2.031 1898 4 6.563 1.694 0 0 6.563 1.694 6.036 0.819 1898 5 NaN NaN NaN NaN NaN NaN 9.105 -0.338 1898 6 NaN NaN NaN NaN NaN NaN 13.234 -0.242 1898 7 NaN NaN NaN NaN NaN NaN 17.216 -0.212 1898 8 NaN NaN NaN NaN NaN NaN 18.244 1.546 1898 9 NaN NaN NaN NaN NaN NaN 13.276 0.089 1898 10 NaN NaN NaN NaN NaN NaN 6.596 -1.209 1898 11 NaN NaN NaN NaN NaN NaN 1.052 -1.277 1898 12 NaN NaN NaN NaN NaN NaN -3.558 -2.812 1899 1 NaN NaN NaN NaN NaN NaN -0.499 1.359 1899 2 NaN NaN NaN NaN NaN NaN -1.100 -2.123 1899 3 NaN NaN NaN NaN NaN NaN 0.685 -1.716 1899 4 NaN NaN NaN NaN NaN NaN 4.034 -1.183