% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32897 % Primary Name: ST INIGOES WEBSTER NOLF % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.14607 +/- 0.00443 % Longitude: -76.43133 +/- 0.00217 % Elevation (m): 6.70 +/- 0.35 % # of Months: 85 % % Alternate Names: WEBSTER NOLF % % IDs: faa - NUI % ghcnd - USW00003757 % gsod - 725514-03757 % gsod - 725514-99999 % icao - KNUI % ncdc - 30003035 % usaf - 725514 % wban - 3757 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: 1b24eb9ab14f2f368f4e29eff4eb0c36 % Raw Data Hash: bbe46bbaa685e3d3076a69dbba98c9a7 % Adj Data Hash: d51d11455bdbcfa7bab5ac37f34dac1d % % 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 2005 8 NaN NaN NaN NaN NaN NaN 26.263 1.601 2005 9 NaN NaN NaN NaN NaN NaN 23.323 2.297 2005 10 NaN NaN NaN NaN NaN NaN 15.296 0.898 2005 11 NaN NaN NaN NaN NaN NaN 11.219 2.264 2005 12 NaN NaN NaN NaN NaN NaN 2.541 -1.192 2006 1 NaN NaN NaN NaN NaN NaN 6.268 4.247 2006 2 NaN NaN NaN NaN NaN NaN 3.557 0.228 2006 3 NaN NaN NaN NaN NaN NaN 8.984 0.873 2006 4 NaN NaN NaN NaN NaN NaN 15.709 1.908 2006 5 NaN NaN NaN NaN NaN NaN 17.930 -0.766 2006 6 NaN NaN NaN NaN NaN NaN 23.012 0.084 2006 7 NaN NaN NaN NaN NaN NaN 26.305 1.034 2006 8 25.785 1.243 1 0 NaN NaN 26.539 1.877 2006 9 19.393 -1.512 0 0 19.393 -1.512 20.140 -0.885 2006 10 14.039 -0.238 0 0 14.039 -0.238 13.599 -0.799 2006 11 10.269 1.434 0 0 10.269 1.434 10.962 2.006 2006 12 6.577 2.965 0 0 6.577 2.965 7.051 3.318 2007 1 5.189 3.289 0 0 5.189 3.289 5.447 3.426 2007 2 -0.170 -3.378 0 0 -0.170 -3.378 0.261 -3.068 2007 3 8.321 0.331 0 0 8.321 0.331 10.140 2.029 2007 4 11.452 -2.229 0 0 11.452 -2.229 13.449 -0.353 2007 5 18.473 -0.103 0 0 18.473 -0.103 19.052 0.356 2007 6 23.192 0.385 0 0 23.192 0.385 23.555 0.627 2007 7 24.632 -0.518 0 0 24.632 -0.518 25.219 -0.052 2007 8 25.531 0.989 0 0 25.531 0.989 26.385 1.723 2007 9 21.860 0.955 0 0 21.860 0.955 22.404 1.378 2007 10 19.013 4.736 0 0 19.013 4.736 18.280 3.882 2007 11 9.393 0.558 0 0 9.393 0.558 9.699 0.743 2007 12 4.988 1.376 0 0 4.988 1.376 5.490 1.756 2008 1 3.883 1.983 0 0 3.883 1.983 3.427 1.406 2008 2 3.132 -0.076 1 0 NaN NaN 4.986 1.657 2008 3 8.539 0.548 0 0 8.539 0.548 9.815 1.703 2008 4 13.574 -0.107 0 0 13.574 -0.107 14.964 1.162 2008 5 17.099 -1.477 0 0 17.099 -1.477 17.728 -0.968 2008 6 23.900 1.093 0 0 23.900 1.093 25.001 2.073 2008 7 25.150 -0.001 0 0 25.150 -0.001 25.636 0.364 2008 8 23.205 -1.337 0 0 23.205 -1.337 24.395 -0.267 2008 9 21.517 0.612 0 0 21.517 0.612 21.974 0.949 2008 10 14.300 0.023 0 0 14.300 0.023 13.677 -0.721 2008 11 8.222 -0.613 0 0 8.222 -0.613 8.596 -0.360 2008 12 5.961 2.349 0 0 5.961 2.349 5.487 1.754 2009 1 0.474 -1.426 0 0 0.474 -1.426 0.639 -1.382 2009 2 4.221 1.013 0 0 4.221 1.013 4.435 1.106 2009 3 7.220 -0.770 0 0 7.220 -0.770 7.913 -0.199 2009 4 15.157 1.476 0 0 15.157 1.476 14.963 1.161 2009 5 21.227 2.652 0 0 21.227 2.652 19.238 0.542 2009 6 24.260 1.453 0 0 24.260 1.453 23.300 0.372 2009 7 25.592 0.441 0 0 25.592 0.441 24.291 -0.981 2009 8 25.647 1.105 0 0 25.647 1.105 26.046 1.383 2009 9 20.463 -0.442 0 0 20.463 -0.442 20.752 -0.273 2009 10 14.910 0.632 0 0 14.910 0.632 14.108 -0.290 2009 11 11.130 2.295 0 0 11.130 2.295 11.323 2.367 2009 12 3.850 0.238 0 0 3.850 0.238 3.000 -0.733 2010 1 2.016 0.116 0 0 2.016 0.116 1.278 -0.743 2010 2 3.039 -0.169 0 0 3.039 -0.169 0.551 -2.778 2010 3 10.476 2.485 0 0 10.476 2.485 10.210 2.098 2010 4 15.508 1.827 0 0 15.508 1.827 16.471 2.669 2010 5 20.019 1.444 0 0 20.019 1.444 20.338 1.642 2010 6 25.497 2.690 0 0 25.497 2.690 26.055 3.127 2010 7 26.931 1.780 0 0 26.931 1.780 27.397 2.125 2010 8 25.493 0.951 0 0 25.493 0.951 26.076 1.413 2010 9 22.567 1.662 0 0 22.567 1.662 23.316 2.291 2010 10 15.729 1.452 0 0 15.729 1.452 15.463 1.065 2010 11 9.715 0.880 0 0 9.715 0.880 9.589 0.633 2010 12 0.622 -2.991 0 0 0.622 -2.991 0.109 -3.624 2011 1 -1.205 -3.105 0 0 -1.205 -3.105 0.559 -1.462 2011 2 4.821 1.613 0 0 4.821 1.613 5.390 2.061 2011 3 7.744 -0.247 0 0 7.744 -0.247 8.813 0.702 2011 4 14.948 1.267 0 0 14.948 1.267 16.387 2.585 2011 5 19.544 0.968 0 0 19.544 0.968 19.810 1.114 2011 6 24.120 1.313 0 0 24.120 1.313 24.521 1.593 2011 7 26.385 1.235 0 0 26.385 1.235 27.080 1.809 2011 8 24.157 -0.385 0 0 24.157 -0.385 25.429 0.766 2011 9 21.677 0.772 0 0 21.677 0.772 22.157 1.132 2011 10 14.532 0.255 0 0 14.532 0.255 14.221 -0.177 2011 11 11.293 2.458 0 0 11.293 2.458 11.484 2.529 2011 12 8.823 5.210 0 0 8.823 5.210 6.920 3.187 2012 1 6.464 4.564 0 0 6.464 4.564 4.768 2.747 2012 2 7.565 4.357 0 0 7.565 4.357 5.863 2.534 2012 3 14.340 6.350 0 0 14.340 6.350 13.946 5.835 2012 4 14.968 1.287 0 0 14.968 1.287 14.552 0.751 2012 5 21.942 3.367 0 0 21.942 3.367 20.726 2.030 2012 6 24.643 1.836 0 0 24.643 1.836 22.740 -0.187 2012 7 27.587 2.436 0 0 27.587 2.436 27.631 2.359 2012 8 25.370 0.829 1 0 NaN NaN 25.276 0.614 2012 9 -16.528 -37.433 1 0 NaN NaN 21.158 0.133 2012 10 NaN NaN NaN NaN NaN NaN 14.819 0.421 2012 11 NaN NaN NaN NaN NaN NaN 7.458 -1.498 2012 12 NaN NaN NaN NaN NaN NaN 6.864 3.131 2013 1 7.351 5.451 1 0 NaN NaN 4.060 2.039 2013 2 3.262 0.054 0 0 3.262 0.054 3.067 -0.262 2013 3 5.465 -2.526 0 0 5.465 -2.526 5.806 -2.306 2013 4 13.847 0.166 0 0 13.847 0.166 15.046 1.245 2013 5 18.894 0.318 0 0 18.894 0.318 18.371 -0.325 2013 6 23.410 0.603 0 0 23.410 0.603 23.653 0.725 2013 7 26.032 0.882 0 0 26.032 0.882 26.022 0.751 2013 8 23.249 -1.293 0 0 23.249 -1.293 23.601 -1.061 2013 9 19.763 -1.142 0 0 19.763 -1.142 20.498 -0.527 2013 10 16.005 1.728 0 0 16.005 1.728 15.326 0.928 2013 11 13.313 4.478 1 0 NaN NaN NaN NaN