% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40396 % Primary Name: ANDOVER 2 % Record Type: TAVG % Country: United States % State: ME % Latitude: 44.65280 +/- 0.00005 % Longitude: -70.79280 +/- 0.00005 % Elevation (m): 252.98 +/- 0.15 % # of Months: 42 % % Alternate Names: Missing Station ID - 170217 % % IDs: coop - 170217 % ghcnd - USC00170217 % ncdc - 30001285 % nws - ANDM1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 534fd914c29f71673def8c2cedfe820f % Raw Data Hash: f182f3a303e80ab6c02558771648c9bb % Adj Data Hash: 03784d5548422c7146a85fc6036f398f % % 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 2009 6 NaN NaN NaN NaN NaN NaN 15.390 -0.985 2009 7 NaN NaN NaN NaN NaN NaN 17.630 -1.273 2009 8 NaN NaN NaN NaN NaN NaN 19.032 1.390 2009 9 NaN NaN NaN NaN NaN NaN 13.032 -0.186 2009 10 NaN NaN NaN NaN NaN NaN 5.702 -1.471 2009 11 NaN NaN NaN NaN NaN NaN 4.555 3.444 2009 12 NaN NaN NaN NaN NaN NaN -6.256 0.272 2010 1 NaN NaN NaN NaN NaN NaN -6.688 2.519 2010 2 NaN NaN NaN NaN NaN NaN -4.747 3.456 2010 3 NaN NaN NaN NaN NaN NaN 2.384 4.858 2010 4 NaN NaN NaN NaN NaN NaN 7.574 3.389 2010 5 NaN NaN NaN NaN NaN NaN 13.359 2.224 2010 6 16.500 1.284 0 0 15.628 0.412 16.534 0.158 2010 7 21.722 3.978 0 0 20.850 3.105 21.085 2.181 2010 8 18.167 1.684 0 0 17.294 0.812 18.517 0.875 2010 9 14.833 2.775 0 0 13.961 1.903 14.986 1.769 2010 10 7.000 0.986 0 0 6.128 0.113 7.225 0.051 2010 11 1.222 1.270 0 0 0.350 0.398 2.372 1.261 2010 12 -5.778 1.910 0 0 -6.650 1.038 -6.359 0.169 2011 1 -8.778 1.589 0 0 -9.650 0.716 -8.954 0.254 2011 2 -9.333 0.028 0 0 -10.206 -0.844 -8.576 -0.374 2011 3 -3.278 0.355 0 0 -4.150 -0.517 -2.340 0.134 2011 4 3.111 0.085 0 0 2.239 -0.788 4.831 0.646 2011 5 12.000 2.024 0 0 11.128 1.152 13.033 1.898 2011 6 16.278 1.062 0 0 15.405 0.189 16.403 0.028 2011 7 21.000 3.256 0 0 20.128 2.383 20.315 1.411 2011 8 18.722 2.240 0 0 17.850 1.367 18.695 1.053 2011 9 15.056 2.998 0 0 14.183 2.125 15.557 2.340 2011 10 8.722 2.708 0 0 7.850 1.836 8.574 1.401 2011 11 2.556 2.603 0 4 3.230 3.278 4.818 3.707 2011 12 -4.887 2.801 0 0 -4.213 3.475 -3.242 3.286 2012 1 -8.973 1.394 0 0 -8.299 2.068 -6.580 2.628 2012 2 -6.284 3.077 1 0 NaN NaN -4.540 3.662 2012 3 -0.427 3.206 0 0 0.247 3.880 2.917 5.390 2012 4 4.743 1.717 0 0 5.417 2.391 6.214 2.029 2012 5 11.531 1.555 0 0 12.205 2.229 13.600 2.464 2012 6 14.912 -0.304 0 0 15.586 0.370 16.512 0.136 2012 7 19.181 1.436 0 0 19.855 2.110 20.100 1.197 2012 8 17.666 1.184 0 0 18.340 1.858 19.694 2.052 2012 9 11.480 -0.578 0 0 12.154 0.096 13.510 0.293 2012 10 7.471 1.457 0 0 8.145 2.131 9.469 2.295 2012 11 -1.662 -1.614 0 0 -0.988 -0.940 1.356 0.245 2012 12 -5.400 2.288 0 0 -4.726 2.962 -3.411 3.118 2013 1 -10.579 -0.212 0 0 -9.905 0.462 -7.863 1.345 2013 2 -8.387 0.974 0 0 -7.713 1.648 -6.353 1.849 2013 3 -2.931 0.702 0 0 -2.257 1.376 -1.099 1.375 2013 4 2.162 -0.865 0 0 2.836 -0.191 4.595 0.409 2013 5 9.716 -0.260 1 0 NaN NaN 12.373 1.238 2013 6 15.160 -0.056 0 0 15.834 0.618 16.814 0.439 2013 7 19.573 1.828 0 0 20.247 2.502 20.956 2.052 2013 8 16.100 -0.382 0 0 16.774 0.292 17.930 0.289 2013 9 14.007 1.949 0 0 14.681 2.623 13.526 0.309 2013 10 8.026 2.012 0 0 8.700 2.686 8.335 1.162 2013 11 3.100 3.148 1 0 NaN NaN NaN NaN