% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33070 % Primary Name: SOLOMONS ISLAND % Record Type: TAVG % Country: United States % State: MD % Latitude: 38.31700 +/- 0.00050 % Longitude: -76.45000 +/- 0.00050 % Elevation (m): 10.00 +/- 0.05 % # of Months: 72 % % IDs: gsod - 997309-99999 % icao - SLIM2 % usaf - 997309 % % Sources: Global Summary of the Day % % Site Hash: c1c5e2ca8597705ba23cde1610baa980 % Raw Data Hash: f9281391c58bb912a4d11ee9ad7f2f4f % Adj Data Hash: 832e6b24f9dc60843a2befe1662e0cdd % % 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 1 NaN NaN NaN NaN NaN NaN 3.265 1.245 2005 2 NaN NaN NaN NaN NaN NaN 4.033 0.704 2005 3 NaN NaN NaN NaN NaN NaN 6.477 -1.634 2005 4 NaN NaN NaN NaN NaN NaN 14.510 0.708 2005 5 NaN NaN NaN NaN NaN NaN 16.633 -2.063 2005 6 NaN NaN NaN NaN NaN NaN 23.678 0.750 2005 7 NaN NaN NaN NaN NaN NaN 26.733 1.462 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 6.496 4.079 0 0 6.496 4.079 6.268 4.247 2006 2 4.635 0.909 0 0 4.635 0.909 3.557 0.228 2006 3 8.385 -0.122 0 0 8.385 -0.122 8.984 0.873 2006 4 14.446 0.248 0 0 14.446 0.248 15.709 1.908 2006 5 18.350 -0.743 0 0 18.350 -0.743 17.930 -0.766 2006 6 23.235 -0.089 0 0 23.235 -0.089 23.012 0.084 2006 7 26.952 1.283 0 0 26.952 1.283 26.305 1.034 2006 8 27.260 2.201 0 0 27.260 2.201 26.539 1.877 2006 9 20.911 -0.511 0 0 20.911 -0.511 20.140 -0.885 2006 10 15.609 0.815 0 0 15.609 0.815 13.599 -0.799 2006 11 11.443 2.090 0 0 11.443 2.090 10.962 2.006 2006 12 8.177 4.048 0 0 8.177 4.048 7.051 3.318 2007 1 6.366 3.948 0 0 6.366 3.948 5.447 3.426 2007 2 0.560 -3.166 0 0 0.560 -3.166 0.261 -3.068 2007 3 8.706 0.198 0 0 8.706 0.198 10.140 2.029 2007 4 11.965 -2.234 0 0 11.965 -2.234 13.449 -0.353 2007 5 18.828 -0.265 0 0 18.828 -0.265 19.052 0.356 2007 6 23.930 0.605 0 0 23.930 0.605 23.555 0.627 2007 7 25.717 0.049 0 0 25.717 0.049 25.219 -0.052 2007 8 26.663 1.604 0 0 26.663 1.604 26.385 1.723 2007 9 23.291 1.868 0 0 23.291 1.868 22.404 1.378 2007 10 20.113 5.318 0 0 20.113 5.318 18.280 3.882 2007 11 10.652 1.300 0 0 10.652 1.300 9.699 0.743 2007 12 5.941 1.811 0 0 5.941 1.811 5.490 1.756 2008 1 4.538 2.120 0 0 4.538 2.120 3.427 1.406 2008 2 5.069 1.343 0 0 5.069 1.343 4.986 1.657 2008 3 9.038 0.530 0 0 9.038 0.530 9.815 1.703 2008 4 13.841 -0.358 0 0 13.841 -0.358 14.964 1.162 2008 5 18.077 -1.016 0 0 18.077 -1.016 17.728 -0.968 2008 6 24.704 1.379 0 0 24.704 1.379 25.001 2.073 2008 7 26.251 0.583 0 0 26.251 0.583 25.636 0.364 2008 8 25.004 -0.056 0 0 25.004 -0.056 24.395 -0.267 2008 9 22.741 1.318 0 0 22.741 1.318 21.974 0.949 2008 10 15.746 0.951 0 0 15.746 0.951 13.677 -0.721 2008 11 9.552 0.200 0 0 9.552 0.200 8.596 -0.360 2008 12 6.367 2.238 0 0 6.367 2.238 5.487 1.754 2009 1 1.125 -1.292 0 0 1.125 -1.292 0.639 -1.382 2009 2 4.788 1.062 0 0 4.788 1.062 4.435 1.106 2009 3 6.927 -1.581 0 0 6.927 -1.581 7.913 -0.199 2009 4 13.761 -0.437 0 0 13.761 -0.437 14.963 1.161 2009 5 18.774 -0.318 0 0 18.774 -0.318 19.238 0.542 2009 6 23.283 -0.041 0 0 23.283 -0.041 23.300 0.372 2009 7 24.970 -0.699 0 0 24.970 -0.699 24.291 -0.981 2009 8 26.554 1.495 0 0 26.554 1.495 26.046 1.383 2009 9 21.448 0.026 0 0 21.448 0.026 20.752 -0.273 2009 10 15.846 1.051 0 0 15.846 1.051 14.108 -0.290 2009 11 11.944 2.592 0 0 11.944 2.592 11.323 2.367 2009 12 4.841 0.711 0 0 4.841 0.711 3.000 -0.733 2010 1 1.647 -0.771 0 0 1.647 -0.771 1.278 -0.743 2010 2 1.599 -2.126 0 0 1.599 -2.126 0.551 -2.778 2010 3 9.328 0.820 0 0 9.328 0.820 10.210 2.098 2010 4 15.461 1.263 0 0 15.461 1.263 16.471 2.669 2010 5 20.219 1.126 0 0 20.219 1.126 20.338 1.642 2010 6 26.317 2.992 0 0 26.317 2.992 26.055 3.127 2010 7 27.939 2.271 0 0 27.939 2.271 27.397 2.125 2010 8 26.484 1.425 0 0 26.484 1.425 26.076 1.413 2010 9 23.644 2.221 0 0 23.644 2.221 23.316 2.291 2010 10 17.047 2.252 0 0 17.047 2.252 15.463 1.065 2010 11 10.906 1.553 0 0 10.906 1.553 9.589 0.633 2010 12 1.633 -2.497 0 0 1.633 -2.497 0.109 -3.624 2011 1 1.039 -1.378 0 0 1.039 -1.378 0.559 -1.462 2011 2 4.998 1.272 0 0 4.998 1.272 5.390 2.061 2011 3 8.048 -0.459 0 0 8.048 -0.459 8.813 0.702 2011 4 15.100 0.902 0 0 15.100 0.902 16.387 2.585 2011 5 20.108 1.015 0 0 20.108 1.015 19.810 1.114 2011 6 25.448 2.124 0 0 25.448 2.124 24.521 1.593 2011 7 27.849 2.181 0 0 27.849 2.181 27.080 1.809 2011 8 26.133 1.073 0 0 26.133 1.073 25.429 0.766 2011 9 22.780 1.357 0 0 22.780 1.357 22.157 1.132 2011 10 16.208 1.413 0 0 16.208 1.413 14.221 -0.177 2011 11 12.246 2.894 0 0 12.246 2.894 11.484 2.529 2011 12 8.676 4.547 1 0 NaN NaN 6.920 3.187 2012 1 NaN NaN NaN NaN NaN NaN 4.768 2.747 2012 2 NaN NaN NaN NaN NaN NaN 5.863 2.534 2012 3 NaN NaN NaN NaN NaN NaN 13.946 5.835 2012 4 NaN NaN NaN NaN NaN NaN 14.552 0.751 2012 5 NaN NaN NaN NaN NaN NaN 20.726 2.030 2012 6 NaN NaN NaN NaN NaN NaN 22.740 -0.187 2012 7 NaN NaN NaN NaN NaN NaN 27.631 2.359 2012 8 NaN NaN NaN NaN NaN NaN 25.276 0.614 2012 9 NaN NaN NaN NaN 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