% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35225 % Primary Name: SALEM % Record Type: TAVG % Country: United States % State: NE % Latitude: 40.08330 +/- 0.00005 % Longitude: -95.71670 +/- 0.00005 % Elevation (m): 290.80 +/- 41.95 % # of Months: 49 % % Alternate Names: Missing Station ID - 257540 % % IDs: coop - 257540 % ghcnd - USC00257540 % ncdc - 12003315 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e3c7702846562a46c985e9fda6695c8e % Raw Data Hash: 61f36521cf6ba7b1816dc3c0368f310c % Adj Data Hash: 16ba7e5a5db1928ba5e37e051d571282 % % 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 1893 11 NaN NaN NaN NaN NaN NaN 4.066 -1.833 1893 12 NaN NaN NaN NaN NaN NaN 0.847 1.156 1894 1 NaN NaN NaN NaN NaN NaN -3.599 -0.046 1894 2 NaN NaN NaN NaN NaN NaN -3.578 -3.518 1894 3 NaN NaN NaN NaN NaN NaN 7.151 1.951 1894 4 NaN NaN NaN NaN NaN NaN 14.132 1.658 1894 5 NaN NaN NaN NaN NaN NaN 17.955 -0.252 1894 6 NaN NaN NaN NaN NaN NaN 23.421 0.124 1894 7 NaN NaN NaN NaN NaN NaN 25.187 -0.856 1894 8 NaN NaN NaN NaN NaN NaN 25.867 0.849 1894 9 NaN NaN NaN NaN NaN NaN 20.205 0.010 1894 10 NaN NaN NaN NaN NaN NaN 14.647 0.721 1894 11 4.500 -0.928 0 0 4.500 -0.928 4.622 -1.278 1894 12 1.290 2.071 0 0 1.290 2.071 1.901 2.211 1895 1 -5.448 -1.423 0 0 -5.448 -1.423 -6.059 -2.506 1895 2 -3.571 -3.039 0 0 -3.571 -3.039 -4.464 -4.403 1895 3 4.946 0.218 0 0 4.946 0.218 4.556 -0.644 1895 4 14.111 2.108 0 0 14.111 2.108 14.959 2.484 1895 5 17.527 -0.209 0 0 17.527 -0.209 18.607 0.399 1895 6 NaN NaN NaN NaN NaN NaN 22.728 -0.569 1895 7 NaN NaN NaN NaN NaN NaN 24.034 -2.009 1895 8 NaN NaN NaN NaN NaN NaN 24.086 -0.932 1895 9 NaN NaN NaN NaN NaN NaN 22.237 2.042 1895 10 NaN NaN NaN NaN NaN NaN 11.418 -2.509 1895 11 4.796 -0.632 0 0 4.796 -0.632 4.652 -1.247 1895 12 -0.108 0.673 0 0 -0.108 0.673 -0.280 0.030 1896 1 0.926 4.951 0 0 0.926 4.951 -1.594 1.959 1896 2 2.663 3.195 0 0 2.663 3.195 1.924 1.985 1896 3 3.513 -1.216 0 0 3.513 -1.216 2.391 -2.809 1896 4 16.426 4.423 0 0 16.426 4.423 16.039 3.564 1896 5 21.308 3.573 0 0 21.308 3.573 20.251 2.044 1896 6 24.741 1.915 0 0 24.741 1.915 22.594 -0.702 1896 7 25.873 0.302 1 0 NaN NaN 25.158 -0.885 1896 8 24.588 0.042 0 0 24.588 0.042 24.733 -0.284 1896 9 17.315 -2.409 0 0 17.315 -2.409 17.519 -2.676 1896 10 10.609 -2.846 0 0 10.609 -2.846 12.380 -1.547 1896 11 NaN NaN NaN NaN NaN NaN 2.921 -2.978 1896 12 NaN NaN NaN NaN NaN NaN 3.503 3.812 1897 1 NaN NaN NaN NaN NaN NaN -4.303 -0.750 1897 2 NaN NaN NaN NaN NaN NaN -0.413 -0.353 1897 3 NaN NaN NaN NaN NaN NaN 4.244 -0.956 1897 4 12.000 -0.003 0 0 12.000 -0.003 12.002 -0.473 1897 5 NaN NaN NaN NaN NaN NaN 17.273 -0.934 1897 6 16.000 -6.825 1 0 NaN NaN 23.653 0.356 1897 7 26.470 0.898 1 0 NaN NaN 26.512 0.469 1897 8 22.889 -1.657 0 0 22.889 -1.657 23.409 -1.608 1897 9 21.148 1.424 0 0 21.148 1.424 23.431 3.236 1897 10 14.068 0.613 0 0 14.068 0.613 16.612 2.685 1897 11 4.296 -1.132 0 0 4.296 -1.132 5.096 -0.803 1897 12 -5.573 -4.793 0 0 -5.573 -4.793 -3.353 -3.044 1898 1 -2.330 1.695 0 0 -2.330 1.695 -1.842 1.711 1898 2 -0.933 -0.401 0 0 -0.933 -0.401 0.838 0.899 1898 3 3.602 -1.126 0 0 3.602 -1.126 4.977 -0.223 1898 4 10.167 -1.836 0 0 10.167 -1.836 11.352 -1.122 1898 5 15.448 -2.288 0 0 15.448 -2.288 16.918 -1.289 1898 6 23.963 1.138 0 0 23.963 1.138 23.833 0.536 1898 7 23.172 -2.399 0 0 23.172 -2.399 24.733 -1.310 1898 8 24.588 0.042 0 0 24.588 0.042 24.993 -0.024 1898 9 18.870 -0.853 0 0 18.870 -0.853 20.737 0.542 1898 10 9.480 -3.975 0 0 9.480 -3.975 11.528 -2.398 1898 11 2.241 -3.187 0 0 2.241 -3.187 3.004 -2.896 1898 12 -6.825 -6.045 1 0 NaN NaN -3.691 -3.382 1899 1 NaN NaN NaN NaN NaN NaN -3.070 0.483 1899 2 -14.306 -13.774 1 0 NaN NaN -8.239 -8.178 1899 3 -1.075 -5.804 0 0 -1.075 -5.804 -0.051 -5.251 1899 4 11.778 -0.225 0 0 11.778 -0.225 11.543 -0.931 1899 5 18.996 1.261 0 0 18.996 1.261 19.099 0.891 1899 6 23.593 0.767 0 0 23.593 0.767 23.121 -0.176 1899 7 24.677 -0.894 0 0 24.677 -0.894 24.132 -1.911 1899 8 5.000 -19.546 1 0 NaN NaN 25.754 0.737 1899 9 19.019 -0.705 0 0 19.019 -0.705 19.347 -0.848 1899 10 15.197 1.742 0 0 15.197 1.742 17.229 3.302 1899 11 6.667 1.239 0 0 6.667 1.239 8.935 3.035 1899 12 NaN NaN NaN NaN NaN NaN -1.920 -1.611 1900 1 NaN NaN NaN NaN NaN NaN -0.404 3.149 1900 2 NaN NaN NaN NaN NaN NaN -4.778 -4.717 1900 3 NaN NaN NaN NaN NaN NaN 3.418 -1.782 1900 4 NaN NaN NaN NaN NaN NaN 13.679 1.204 1900 5 NaN NaN NaN NaN NaN NaN 18.713 0.506 1900 6 NaN NaN NaN NaN NaN NaN 23.215 -0.082 1900 7 NaN NaN NaN NaN NaN NaN 25.066 -0.977 1900 8 NaN NaN NaN NaN NaN NaN 26.443 1.426 1900 9 NaN NaN NaN NaN NaN NaN 20.666 0.471 1900 10 NaN NaN NaN NaN NaN NaN 16.852 2.926 1900 11 NaN NaN NaN NaN NaN NaN 4.322 -1.578