% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32372 % Primary Name: WACHAPREAQUE % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.61670 +/- 0.00005 % Longitude: -76.70000 +/- 0.00005 % Elevation (m): 4.88 +/- 0.15 % # of Months: 55 % % Alternate Names: Missing Station ID - 448787 % % IDs: coop - 448787 % ghcnd - USC00448787 % ncdc - 12005799 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 58f4f50e4014d77f7fb19ea2921f0b7c % Raw Data Hash: f8c0fb83ac6b77d758de47bd70edca59 % Adj Data Hash: 4c396e60740bda7bb36c41857b9fa26c % % 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 1912 11 NaN NaN NaN NaN NaN NaN 9.160 0.205 1912 12 NaN NaN NaN NaN NaN NaN 4.866 1.133 1913 1 NaN NaN NaN NaN NaN NaN 7.075 5.054 1913 2 NaN NaN NaN NaN NaN NaN 3.156 -0.173 1913 3 NaN NaN NaN NaN NaN NaN 10.713 2.602 1913 4 NaN NaN NaN NaN NaN NaN 14.062 0.260 1913 5 NaN NaN NaN NaN NaN NaN 18.485 -0.211 1913 6 NaN NaN NaN NaN NaN NaN 22.342 -0.585 1913 7 NaN NaN NaN NaN NaN NaN 25.358 0.086 1913 8 NaN NaN NaN NaN NaN NaN 23.678 -0.985 1913 9 NaN NaN NaN NaN NaN NaN 20.491 -0.535 1913 10 NaN NaN NaN NaN NaN NaN 14.846 0.448 1913 11 10.746 1.706 0 0 10.746 1.706 9.756 0.800 1913 12 NaN NaN NaN NaN NaN NaN 4.786 1.053 1914 1 5.648 3.542 1 0 NaN NaN 4.261 2.240 1914 2 3.116 -0.298 1 0 NaN NaN 0.078 -3.251 1914 3 4.966 -3.230 0 0 4.966 -3.230 5.299 -2.812 1914 4 12.164 -1.723 0 0 12.164 -1.723 13.278 -0.524 1914 5 NaN NaN NaN NaN NaN NaN 19.377 0.681 1914 6 22.722 -0.291 0 0 22.722 -0.291 23.554 0.626 1914 7 23.997 -1.360 0 0 23.997 -1.360 24.294 -0.977 1914 8 24.910 0.162 0 0 24.910 0.162 24.906 0.243 1914 9 20.388 -0.723 1 0 NaN NaN 19.820 -1.205 1914 10 16.963 2.480 0 0 16.963 2.480 15.755 1.357 1914 11 9.017 -0.024 0 0 9.017 -0.024 8.634 -0.322 1914 12 4.064 0.246 1 0 NaN NaN 1.347 -2.386 1915 1 4.080 1.974 0 0 4.080 1.974 2.553 0.532 1915 2 NaN NaN NaN NaN NaN NaN 4.625 1.296 1915 3 5.116 -3.080 0 0 5.116 -3.080 4.305 -3.806 1915 4 13.628 -0.259 0 0 13.628 -0.259 15.217 1.415 1915 5 NaN NaN NaN NaN NaN NaN 18.034 -0.662 1915 6 19.732 -3.281 1 0 NaN NaN 21.426 -1.502 1915 7 23.892 -1.465 0 0 23.892 -1.465 24.605 -0.666 1915 8 24.782 0.035 0 0 24.782 0.035 24.054 -0.608 1915 9 21.140 0.030 0 0 21.140 0.030 22.062 1.036 1915 10 15.691 1.208 0 0 15.691 1.208 15.311 0.913 1915 11 9.898 0.858 0 0 9.898 0.858 9.307 0.351 1915 12 3.118 -0.700 0 0 3.118 -0.700 1.961 -1.772 1916 1 6.956 4.850 1 0 NaN NaN 5.392 3.371 1916 2 4.031 0.617 1 0 NaN NaN 2.562 -0.767 1916 3 6.178 -2.017 0 0 6.178 -2.017 5.578 -2.533 1916 4 9.929 -3.958 0 0 9.929 -3.958 12.870 -0.932 1916 5 19.042 0.261 0 0 19.042 0.261 19.791 1.095 1916 6 20.818 -2.194 0 0 20.818 -2.194 21.150 -1.778 1916 7 24.374 -0.982 0 0 24.374 -0.982 24.932 -0.340 1916 8 23.756 -0.991 0 0 23.756 -0.991 24.276 -0.386 1916 9 20.677 -0.433 0 0 20.677 -0.433 19.970 -1.055 1916 10 15.795 1.312 0 0 15.795 1.312 14.402 0.004 1916 11 9.570 0.529 0 0 9.570 0.529 9.056 0.101 1916 12 4.229 0.411 0 0 4.229 0.411 2.733 -1.000 1917 1 4.135 2.030 0 0 4.135 2.030 3.027 1.006 1917 2 2.614 -0.800 0 0 2.614 -0.800 1.989 -1.340 1917 3 7.060 -1.136 0 0 7.060 -1.136 7.650 -0.461 1917 4 14.305 0.419 1 0 NaN NaN 13.766 -0.036 1917 5 15.662 -3.118 0 0 15.662 -3.118 15.813 -2.883 1917 6 21.727 -1.286 0 0 21.727 -1.286 22.630 -0.298 1917 7 24.213 -1.143 0 0 24.213 -1.143 24.754 -0.518 1917 8 23.989 -0.759 0 0 23.989 -0.759 24.118 -0.545 1917 9 19.484 -1.627 1 0 NaN NaN 18.552 -2.474 1917 10 13.162 -1.321 0 0 13.162 -1.321 11.773 -2.625 1917 11 7.012 -2.028 1 0 NaN NaN 6.636 -2.320 1917 12 1.306 -2.512 0 0 1.306 -2.512 -1.830 -5.563 1918 1 -2.918 -5.024 1 0 NaN NaN -3.978 -5.999 1918 2 6.231 2.817 1 0 NaN NaN 3.466 0.137 1918 3 9.750 1.554 0 0 9.750 1.554 10.210 2.099 1918 4 11.776 -2.110 0 0 11.776 -2.110 12.660 -1.141 1918 5 20.981 2.201 1 0 NaN NaN 20.964 2.268 1918 6 20.817 -2.196 0 0 20.817 -2.196 21.375 -1.553 1918 7 23.050 -2.306 0 0 23.050 -2.306 23.101 -2.170 1918 8 25.148 0.401 0 0 25.148 0.401 25.251 0.589 1918 9 22.060 0.950 1 0 NaN NaN 18.503 -2.523 1918 10 NaN NaN NaN NaN NaN NaN 15.956 1.558 1918 11 NaN NaN NaN NaN NaN NaN 8.652 -0.304 1918 12 NaN NaN NaN NaN NaN NaN 5.410 1.677 1919 1 NaN NaN NaN NaN NaN NaN 3.460 1.439 1919 2 NaN NaN NaN NaN NaN NaN 2.876 -0.453 1919 3 NaN NaN NaN NaN NaN NaN 9.423 1.312 1919 4 NaN NaN NaN NaN NaN NaN 13.342 -0.460 1919 5 NaN NaN NaN NaN NaN NaN 18.479 -0.218 1919 6 NaN NaN NaN NaN NaN NaN 22.571 -0.357 1919 7 NaN NaN NaN NaN NaN NaN 24.997 -0.275 1919 8 NaN NaN NaN NaN NaN NaN 23.527 -1.135 1919 9 NaN NaN NaN NaN NaN NaN 21.413 0.387