% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29760 % Primary Name: WILSON DAM % Record Type: TAVG % Country: United States % State: AL % Latitude: 34.80000 +/- 0.00005 % Longitude: -87.61670 +/- 0.00005 % Elevation (m): 161.80 +/- 0.05 % # of Months: 11 % % IDs: coop - 18980 % ghcnd - USC00018980 % ncdc - 20000341 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: a753e6ea972ee6a89ff3f4f4cb2b7ab8 % Raw Data Hash: abc9756007f74f9250225951ec81ca76 % Adj Data Hash: ad786fe3ccb6746ae1701f560f6625d8 % % 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 1898 1 NaN NaN NaN NaN NaN NaN 6.924 2.798 1898 2 NaN NaN NaN NaN NaN NaN 4.932 -1.195 1898 3 NaN NaN NaN NaN NaN NaN 13.005 2.476 1898 4 NaN NaN NaN NaN NaN NaN 13.114 -2.934 1898 5 NaN NaN NaN NaN NaN NaN 21.317 0.948 1898 6 NaN NaN NaN NaN NaN NaN 25.684 1.317 1898 7 NaN NaN NaN NaN NaN NaN 25.795 -0.404 1898 8 NaN NaN NaN NaN NaN NaN 25.311 -0.415 1898 9 NaN NaN NaN NaN NaN NaN 23.717 1.193 1898 10 NaN NaN NaN NaN NaN NaN 14.059 -1.774 1898 11 NaN NaN NaN NaN NaN NaN 8.130 -1.916 1898 12 NaN NaN NaN NaN NaN NaN 4.003 -1.848 1899 1 10.269 1.791 0 0 10.269 1.791 3.378 -0.748 1899 2 8.274 -2.206 1 0 NaN NaN -0.160 -6.288 1899 3 16.344 1.464 0 0 16.344 1.464 9.775 -0.754 1899 4 19.093 -1.307 0 0 19.093 -1.307 15.018 -1.030 1899 5 27.527 2.806 1 0 NaN NaN 22.663 2.294 1899 6 28.741 0.022 0 0 28.741 0.022 25.635 1.268 1899 7 28.710 -1.841 0 0 28.710 -1.841 25.969 -0.230 1899 8 29.158 -0.920 0 0 29.158 -0.920 26.735 1.009 1899 9 25.407 -1.468 0 0 25.407 -1.468 21.587 -0.937 1899 10 22.079 1.893 0 0 22.079 1.893 17.297 1.463 1899 11 16.259 1.862 0 0 16.259 1.862 11.500 1.454 1899 12 NaN NaN NaN NaN NaN NaN 4.106 -1.745 1900 1 NaN NaN NaN NaN NaN NaN 3.917 -0.209 1900 2 NaN NaN NaN NaN NaN NaN 3.317 -2.811 1900 3 NaN NaN NaN NaN NaN NaN 8.910 -1.619 1900 4 NaN NaN NaN NaN NaN NaN 15.990 -0.058 1900 5 NaN NaN NaN NaN NaN NaN 19.936 -0.433 1900 6 NaN NaN NaN NaN NaN NaN 23.629 -0.738 1900 7 NaN NaN NaN NaN NaN NaN 25.781 -0.418 1900 8 NaN NaN NaN NaN NaN NaN 26.832 1.106 1900 9 NaN NaN NaN NaN NaN NaN 24.945 2.422 1900 10 NaN NaN NaN NaN NaN NaN 18.206 2.372 1900 11 NaN NaN NaN NaN NaN NaN 10.389 0.343