% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33106 % Primary Name: LAKE OF THE WOODS % Record Type: TAVG % Country: United States % State: VA % Latitude: 38.35060 +/- 0.00005 % Longitude: -77.75310 +/- 0.00005 % Elevation (m): 109.73 +/- 0.15 % # of Months: 27 % % Alternate Names: Missing Station ID - 444692 % % IDs: coop - 444692 % ghcnd - USC00444692 % ncdc - 20027211 % nws - LTGV2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 011a69c5c71254ecc06aa10ef3f641ed % Raw Data Hash: 1637515f984105530c81f56ea4a2f307 % Adj Data Hash: 1637515f984105530c81f56ea4a2f307 % % 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 1998 8 NaN NaN NaN NaN NaN NaN 25.583 0.920 1998 9 NaN NaN NaN NaN NaN NaN 23.955 2.929 1998 10 NaN NaN NaN NaN NaN NaN 14.945 0.547 1998 11 NaN NaN NaN NaN NaN NaN 10.122 1.166 1998 12 NaN NaN NaN NaN NaN NaN 6.777 3.044 1999 1 NaN NaN NaN NaN NaN NaN 4.694 2.673 1999 2 NaN NaN NaN NaN NaN NaN 4.839 1.509 1999 3 NaN NaN NaN NaN NaN NaN 7.342 -0.769 1999 4 NaN NaN NaN NaN NaN NaN 14.752 0.950 1999 5 NaN NaN NaN NaN NaN NaN 18.746 0.050 1999 6 NaN NaN NaN NaN NaN NaN 22.788 -0.140 1999 7 NaN NaN NaN NaN NaN NaN 26.991 1.720 1999 8 24.833 1.094 0 0 24.833 1.094 25.636 0.973 1999 9 20.000 -0.102 0 0 20.000 -0.102 20.971 -0.054 1999 10 12.722 -0.752 0 0 12.722 -0.752 13.509 -0.889 1999 11 10.722 2.690 0 0 10.722 2.690 12.232 3.277 1999 12 3.889 1.079 0 0 3.889 1.079 5.268 1.534 2000 1 0.278 -0.820 0 0 0.278 -0.820 1.870 -0.151 2000 2 4.500 2.095 0 0 4.500 2.095 5.441 2.111 2000 3 9.556 2.368 0 0 9.556 2.368 11.060 2.948 2000 4 13.222 0.344 0 0 13.222 0.344 13.980 0.178 2000 5 19.444 1.672 0 0 19.444 1.672 20.129 1.433 2000 6 23.278 1.274 0 0 23.278 1.274 23.868 0.940 2000 7 23.167 -1.181 0 0 23.167 -1.181 23.768 -1.504 2000 8 23.444 -0.295 0 0 23.444 -0.295 24.043 -0.619 2000 9 18.889 -1.213 0 0 18.889 -1.213 20.399 -0.626 2000 10 15.111 1.637 0 0 15.111 1.637 14.915 0.517 2000 11 6.444 -1.588 0 0 6.444 -1.588 7.967 -0.988 2000 12 -1.833 -4.643 0 0 -1.833 -4.643 0.007 -3.726 2001 1 1.167 0.069 0 0 1.167 0.069 1.962 -0.059 2001 2 3.944 1.539 0 0 3.944 1.539 5.051 1.722 2001 3 6.000 -1.188 0 0 6.000 -1.188 7.003 -1.108 2001 4 14.667 1.788 0 0 14.667 1.788 15.073 1.271 2001 5 17.778 0.005 0 0 17.778 0.005 18.401 -0.295 2001 6 23.389 1.385 0 0 23.389 1.385 23.621 0.693 2001 7 22.667 -1.681 0 0 22.667 -1.681 23.631 -1.640 2001 8 24.833 1.094 0 0 24.833 1.094 25.620 0.957 2001 9 19.056 -1.047 0 0 19.056 -1.047 20.226 -0.800 2001 10 13.889 0.414 0 0 13.889 0.414 14.341 -0.058 2001 11 NaN NaN NaN NaN NaN NaN 12.484 3.529 2001 12 NaN NaN NaN NaN NaN NaN 7.251 3.518 2002 1 NaN NaN NaN NaN NaN NaN 5.137 3.116 2002 2 NaN NaN NaN NaN NaN NaN 5.483 2.154 2002 3 NaN NaN NaN NaN NaN NaN 9.507 1.396 2002 4 NaN NaN NaN NaN NaN NaN 16.341 2.539 2002 5 NaN NaN NaN NaN NaN NaN 18.495 -0.201 2002 6 NaN NaN NaN NaN NaN NaN 24.347 1.419 2002 7 NaN NaN NaN NaN NaN NaN 26.639 1.367 2002 8 NaN NaN NaN NaN NaN NaN 26.451 1.789 2002 9 NaN NaN NaN NaN NaN NaN 22.492 1.467 2002 10 NaN NaN NaN NaN NaN NaN 15.246 0.848