% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39472 % Primary Name: LIMINGTON % Record Type: TAVG % Country: United States % State: ME % Latitude: 43.71670 +/- 0.00005 % Longitude: -70.65000 +/- 0.00005 % Elevation (m): 77.70 +/- 0.05 % # of Months: 30 % % IDs: coop - 174656 % ghcnd - USC00174656 % ncdc - 20009915 % nws - LIMM1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5ebb626b23807b392d721c12e64e6dbf % Raw Data Hash: 3453b360b3f1f305b94f9d6f96798efb % Adj Data Hash: 9d17d03a1a2f7ed7ca1c38fb4eb86720 % % 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 2003 4 NaN NaN NaN NaN NaN NaN 3.290 -0.895 2003 5 NaN NaN NaN NaN NaN NaN 10.897 -0.238 2003 6 NaN NaN NaN NaN NaN NaN 16.662 0.287 2003 7 NaN NaN NaN NaN NaN NaN 19.413 0.509 2003 8 NaN NaN NaN NaN NaN NaN 19.533 1.891 2003 9 NaN NaN NaN NaN NaN NaN 14.532 1.314 2003 10 NaN NaN NaN NaN NaN NaN 6.605 -0.568 2003 11 NaN NaN NaN NaN NaN NaN 2.949 1.838 2003 12 NaN NaN NaN NaN NaN NaN -6.136 0.392 2004 1 NaN NaN NaN NaN NaN NaN -13.478 -4.270 2004 2 NaN NaN NaN NaN NaN NaN -7.855 0.347 2004 3 NaN NaN NaN NaN NaN NaN -0.340 2.134 2004 4 11.217 4.913 1 0 NaN NaN 4.927 0.741 2004 5 15.080 1.827 0 0 15.080 1.827 12.434 1.299 2004 6 17.145 -1.349 0 0 17.145 -1.349 14.983 -1.393 2004 7 21.320 0.298 0 0 21.320 0.298 18.611 -0.293 2004 8 20.274 0.514 0 0 20.274 0.514 18.151 0.509 2004 9 16.311 0.975 0 0 16.311 0.975 14.173 0.956 2004 10 9.276 -0.016 0 0 9.276 -0.016 7.187 0.013 2004 11 2.652 -0.577 0 0 2.652 -0.577 2.016 0.904 2004 12 -1.569 2.841 1 0 NaN NaN -6.782 -0.254 2005 1 -12.363 -5.274 1 0 NaN NaN -10.015 -0.807 2005 2 -4.527 1.557 0 0 -4.527 1.557 -6.449 1.754 2005 3 -1.569 -1.214 0 0 -1.569 -1.214 -3.603 -1.129 2005 4 7.995 1.691 0 0 7.995 1.691 5.837 1.652 2005 5 10.935 -2.318 0 0 10.935 -2.318 8.921 -2.214 2005 6 20.635 2.141 0 0 20.635 2.141 18.661 2.286 2005 7 22.646 1.624 0 0 22.646 1.624 20.097 1.193 2005 8 21.600 1.840 0 0 21.600 1.840 19.133 1.492 2005 9 17.663 2.328 0 0 17.663 2.328 15.469 2.252 2005 10 10.007 0.715 0 0 10.007 0.715 8.573 1.399 2005 11 3.536 0.307 0 0 3.536 0.307 2.887 1.776 2005 12 -3.814 0.596 1 0 NaN NaN -6.421 0.107 2006 1 -1.940 5.149 1 0 NaN NaN -3.912 5.296 2006 2 -3.517 2.568 0 0 -3.517 2.568 -6.553 1.649 2006 3 1.233 1.589 0 0 1.233 1.589 -1.668 0.805 2006 4 8.547 2.243 0 0 8.547 2.243 5.995 1.809 2006 5 13.724 0.471 0 0 13.724 0.471 12.032 0.897 2006 6 20.074 1.580 0 0 20.074 1.580 17.310 0.934 2006 7 24.048 3.026 1 0 NaN NaN 20.724 1.821 2006 8 19.307 -0.453 0 0 19.307 -0.453 17.193 -0.449 2006 9 15.330 -0.006 0 0 15.330 -0.006 13.451 0.233 2006 10 NaN NaN NaN NaN NaN NaN 6.859 -0.314 2006 11 NaN NaN NaN NaN NaN NaN 5.188 4.077 2006 12 NaN NaN NaN NaN NaN NaN -1.708 4.820 2007 1 NaN NaN NaN NaN NaN NaN -7.284 1.923 2007 2 NaN NaN NaN NaN NaN NaN -11.148 -2.946 2007 3 NaN NaN NaN NaN NaN NaN -3.008 -0.534 2007 4 NaN NaN NaN NaN NaN NaN 3.447 -0.738 2007 5 NaN NaN NaN NaN NaN NaN 11.779 0.644 2007 6 NaN NaN NaN NaN NaN NaN 16.827 0.452 2007 7 NaN NaN NaN NaN NaN NaN 18.188 -0.716 2007 8 NaN NaN NaN NaN NaN NaN 18.184 0.542 2007 9 NaN NaN NaN NaN NaN NaN 14.546 1.329