% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27609 % Primary Name: MILLERS FERRY L & D % Record Type: TAVG % Country: United States % State: AL % Latitude: 32.10030 +/- 0.00005 % Longitude: -87.39830 +/- 0.00005 % Elevation (m): 35.10 +/- 0.05 % # of Months: 28 % % Alternate Names: MILLERS FERRY L&D % % IDs: coop - 15420 % ghcnd - USC00015420 % ncdc - 20000109 % nws - MRFA1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5d47b3dc9f266f37e45b5936b221bb0d % Raw Data Hash: 8d07322c9a70cf4a10396e876d54093f % Adj Data Hash: 57ad503bacc5177c0bd4a321b4480fbc % % 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 2010 8 NaN NaN NaN NaN NaN NaN 29.354 2.640 2010 9 NaN NaN NaN NaN NaN NaN 26.199 2.246 2010 10 NaN NaN NaN NaN NaN NaN 18.235 0.786 2010 11 NaN NaN NaN NaN NaN NaN 13.348 1.455 2010 12 NaN NaN NaN NaN NaN NaN 5.225 -2.857 2011 1 NaN NaN NaN NaN NaN NaN 4.807 -1.960 2011 2 NaN NaN NaN NaN NaN NaN 9.507 0.795 2011 3 NaN NaN NaN NaN NaN NaN 14.553 1.763 2011 4 NaN NaN NaN NaN NaN NaN 19.517 1.945 2011 5 NaN NaN NaN NaN NaN NaN 21.591 -0.133 2011 6 NaN NaN NaN NaN NaN NaN 28.538 3.077 2011 7 NaN NaN NaN NaN NaN NaN 28.612 1.582 2011 8 28.831 1.411 0 0 28.831 1.411 28.757 2.042 2011 9 23.482 -1.177 0 0 23.482 -1.177 23.542 -0.412 2011 10 17.945 -0.209 0 0 17.945 -0.209 16.044 -1.405 2011 11 15.056 2.457 1 0 NaN NaN 13.566 1.673 2011 12 11.024 2.237 0 0 11.024 2.237 9.988 1.906 2012 1 10.905 3.433 0 0 10.905 3.433 9.877 3.110 2012 2 13.378 3.960 0 0 13.378 3.960 11.074 2.361 2012 3 18.463 4.967 0 0 18.463 4.967 18.532 5.742 2012 4 19.742 1.465 0 0 19.742 1.465 19.172 1.600 2012 5 23.823 1.394 0 0 23.823 1.394 23.545 1.821 2012 6 26.470 0.304 0 0 26.470 0.304 26.217 0.756 2012 7 28.108 0.372 0 0 28.108 0.372 28.398 1.368 2012 8 26.961 -0.458 0 0 26.961 -0.458 26.455 -0.259 2012 9 23.809 -0.850 0 0 23.809 -0.850 23.940 -0.013 2012 10 18.923 0.770 1 0 NaN NaN 16.993 -0.455 2012 11 12.003 -0.595 0 0 12.003 -0.595 11.175 -0.718 2012 12 12.552 3.765 0 0 12.552 3.765 10.856 2.774 2013 1 10.985 3.513 0 0 10.985 3.513 9.627 2.860 2013 2 10.463 1.046 1 0 NaN NaN 8.477 -0.235 2013 3 11.294 -2.202 1 0 NaN NaN 10.350 -2.440 2013 4 14.997 -3.280 1 0 NaN NaN 17.550 -0.022 2013 5 20.553 -1.876 1 0 NaN NaN 20.632 -1.092 2013 6 25.600 -0.566 1 0 NaN NaN 26.595 1.134 2013 7 26.837 -0.899 1 0 NaN NaN 26.234 -0.796 2013 8 25.373 -2.046 1 0 NaN NaN 26.431 -0.283 2013 9 25.255 0.597 1 0 NaN NaN 25.197 1.244 2013 10 18.540 0.386 1 0 NaN NaN 18.646 1.198 2013 11 13.600 1.001 1 0 NaN NaN NaN NaN