% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 34242 % Primary Name: SALEM % Record Type: TAVG % Country: United States % State: WV % Latitude: 39.28330 +/- 0.00005 % Longitude: -80.56670 +/- 0.00005 % Elevation (m): 320.00 +/- 0.05 % # of Months: 26 % % IDs: coop - 467883 % ghcnd - USC00467883 % ncdc - 20021607 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a41d17df86484b54d2c0256b4bf9b28b % Raw Data Hash: e2dffada94c42d45aad8167728efa6eb % Adj Data Hash: 8fed3ff7f08dfbb07c6fba0a64863430 % % 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 1944 12 NaN NaN NaN NaN NaN NaN -2.176 -3.227 1945 1 NaN NaN NaN NaN NaN NaN -3.870 -2.633 1945 2 NaN NaN NaN NaN NaN NaN 0.537 0.388 1945 3 NaN NaN NaN NaN NaN NaN 11.096 5.668 1945 4 NaN NaN NaN NaN NaN NaN 13.198 1.893 1945 5 NaN NaN NaN NaN NaN NaN 14.253 -2.350 1945 6 NaN NaN NaN NaN NaN NaN 20.099 -0.772 1945 7 NaN NaN NaN NaN NaN NaN 22.440 -0.488 1945 8 NaN NaN NaN NaN NaN NaN 21.960 -0.431 1945 9 NaN NaN NaN NaN NaN NaN 20.795 1.861 1945 10 NaN NaN NaN NaN NaN NaN 11.474 -0.658 1945 11 NaN NaN NaN NaN NaN NaN 7.476 1.194 1945 12 3.675 2.598 1 0 NaN NaN -2.106 -3.157 1946 1 NaN NaN NaN NaN NaN NaN 0.547 1.785 1946 2 NaN NaN NaN NaN NaN NaN 1.148 0.999 1946 3 NaN NaN NaN NaN NaN NaN 11.151 5.723 1946 4 NaN NaN NaN NaN NaN NaN 11.526 0.221 1946 5 NaN NaN NaN NaN NaN NaN 15.731 -0.872 1946 6 22.474 1.576 1 0 NaN NaN 20.665 -0.207 1946 7 22.889 -0.066 0 0 22.889 -0.066 22.498 -0.430 1946 8 19.667 -2.750 0 0 19.667 -2.750 19.691 -2.700 1946 9 18.000 -0.960 0 0 18.000 -0.960 19.372 0.438 1946 10 NaN NaN NaN NaN NaN NaN 13.990 1.859 1946 11 NaN NaN NaN NaN NaN NaN 9.090 2.808 1946 12 3.428 2.350 0 0 3.428 2.350 3.074 2.022 1947 1 NaN NaN NaN NaN NaN NaN 2.851 4.088 1947 2 NaN NaN NaN NaN NaN NaN -4.977 -5.126 1947 3 NaN NaN NaN NaN NaN NaN 1.364 -4.064 1947 4 NaN NaN NaN NaN NaN NaN 12.918 1.612 1947 5 NaN NaN NaN NaN NaN NaN 15.215 -1.388 1947 6 NaN NaN NaN NaN NaN NaN 20.372 -0.500 1947 7 20.556 -2.399 0 0 20.556 -2.399 20.607 -2.321 1947 8 24.611 2.194 0 0 24.611 2.194 24.795 2.405 1947 9 19.000 0.040 0 0 19.000 0.040 19.543 0.609 1947 10 15.556 3.398 0 0 15.556 3.398 15.962 3.830 1947 11 NaN NaN NaN NaN NaN NaN 5.472 -0.811 1947 12 0.064 -1.013 1 0 NaN NaN 0.313 -0.738 1948 1 -5.184 -3.973 0 0 -5.184 -3.973 -5.868 -4.631 1948 2 2.000 1.825 0 0 2.000 1.825 0.727 0.578 1948 3 8.833 3.380 0 0 8.833 3.380 8.229 2.801 1948 4 13.912 2.581 0 0 13.912 2.581 13.974 2.669 1948 5 15.778 -0.852 0 0 15.778 -0.852 15.609 -0.995 1948 6 21.171 0.274 0 0 21.171 0.274 21.000 0.128 1948 7 23.333 0.379 0 0 23.333 0.379 23.089 0.160 1948 8 21.179 -1.237 1 0 NaN NaN 22.124 -0.267 1948 9 18.944 -0.016 0 0 18.944 -0.016 19.291 0.357 1948 10 10.278 -1.880 0 0 10.278 -1.880 10.321 -1.811 1948 11 7.780 1.472 1 0 NaN NaN 9.150 2.868 1948 12 2.278 1.200 0 0 2.278 1.200 2.629 1.577 1949 1 5.500 6.711 0 0 5.500 6.711 3.958 5.195 1949 2 5.167 4.992 0 0 5.167 4.992 3.762 3.613 1949 3 3.056 -2.398 0 0 3.056 -2.398 5.959 0.532 1949 4 NaN NaN NaN NaN NaN NaN 10.394 -0.911 1949 5 NaN NaN NaN NaN NaN NaN 16.984 0.381 1949 6 NaN NaN NaN NaN NaN NaN 22.555 1.683 1949 7 NaN NaN NaN NaN NaN NaN 25.009 2.081 1949 8 NaN NaN NaN NaN NaN NaN 22.754 0.363 1949 9 NaN NaN NaN NaN NaN NaN 16.649 -2.285 1949 10 NaN NaN NaN NaN NaN NaN 15.187 3.055 1949 11 NaN NaN NaN NaN NaN NaN 6.344 0.062 1949 12 NaN NaN NaN NaN NaN NaN 2.700 1.649 1950 1 NaN NaN NaN NaN NaN NaN 5.851 7.088 1950 2 NaN NaN NaN NaN NaN NaN 1.467 1.318 1950 3 NaN NaN NaN NaN NaN NaN 3.751 -1.676