% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31599 % Primary Name: PRINCESS ANNE % Record Type: TAVG % Country: United States % State: VA % Latitude: 36.80000 +/- 0.00005 % Longitude: -75.96670 +/- 0.00005 % Elevation (m): 3.92 +/- 1.03 % # of Months: 53 % % Alternate Names: Missing Station ID - 446926 % % IDs: coop - 446926 % ghcnd - USC00446926 % ncdc - 12010260 % ncdc - 20026898 % wban - 93715 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a3a283894f84aa82f3b166031e7d64d0 % Raw Data Hash: 170d9469f239883e36e7bff876e7983a % Adj Data Hash: 43c1287d63be1d8d03e471718e7928f1 % % 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 1939 5 NaN NaN NaN NaN NaN NaN 18.748 0.113 1939 6 NaN NaN NaN NaN NaN NaN 24.388 1.596 1939 7 NaN NaN NaN NaN NaN NaN 24.570 -0.722 1939 8 NaN NaN NaN NaN NaN NaN 25.942 0.614 1939 9 NaN NaN NaN NaN NaN NaN 24.288 1.295 1939 10 NaN NaN NaN NaN NaN NaN 18.730 1.087 1939 11 NaN NaN NaN NaN NaN NaN 11.162 -1.690 1939 12 NaN NaN NaN NaN NaN NaN 8.159 -0.065 1940 1 NaN NaN NaN NaN NaN NaN 0.679 -5.606 1940 2 NaN NaN NaN NaN NaN NaN 5.667 -0.857 1940 3 NaN NaN NaN NaN NaN NaN 8.045 -1.661 1940 4 NaN NaN NaN NaN NaN NaN 12.593 -1.616 1940 5 17.490 -0.304 0 0 17.642 -0.151 17.702 -0.933 1940 6 NaN NaN NaN NaN NaN NaN 23.895 1.102 1940 7 24.448 -0.003 0 0 24.601 0.149 24.917 -0.375 1940 8 NaN NaN NaN NaN NaN NaN 24.758 -0.569 1940 9 20.862 -1.291 0 0 21.014 -1.139 21.764 -1.229 1940 10 14.998 -1.804 0 0 15.151 -1.652 15.914 -1.729 1940 11 12.450 0.439 0 0 12.602 0.591 13.324 0.471 1940 12 9.118 1.735 0 0 9.270 1.887 10.205 1.980 1941 1 4.644 -0.800 0 0 4.796 -0.648 5.840 -0.445 1941 2 2.714 -2.969 0 0 2.866 -2.817 3.476 -3.048 1941 3 5.455 -3.410 0 0 5.607 -3.258 6.557 -3.149 1941 4 13.508 0.141 0 0 13.660 0.293 15.304 1.095 1941 5 20.095 2.301 0 0 20.247 2.453 19.546 0.911 1941 6 22.873 0.922 0 0 23.025 1.074 22.817 0.024 1941 7 25.584 1.133 0 0 25.736 1.285 25.642 0.349 1941 8 24.455 -0.032 0 0 24.607 0.120 25.118 -0.210 1941 9 23.362 1.209 0 0 23.514 1.361 24.574 1.580 1941 10 19.394 2.591 0 0 19.546 2.744 20.614 2.971 1941 11 11.028 -0.983 0 0 11.180 -0.831 13.926 1.074 1941 12 6.929 -0.454 0 0 7.081 -0.302 9.443 1.219 1942 1 3.841 -1.603 0 0 3.993 -1.451 5.525 -0.759 1942 2 2.755 -2.928 0 0 2.908 -2.775 3.970 -2.554 1942 3 9.115 0.249 0 0 9.267 0.402 10.924 1.218 1942 4 14.190 0.822 0 0 14.342 0.974 14.765 0.556 1942 5 19.935 2.141 0 0 20.087 2.293 20.233 1.598 1942 6 21.950 -0.002 1 0 NaN NaN 24.335 1.543 1942 7 25.875 1.423 0 0 26.027 1.576 26.862 1.569 1942 8 24.488 0.002 1 0 NaN NaN 24.962 -0.366 1942 9 23.300 1.148 0 0 23.452 1.300 24.273 1.280 1942 10 18.045 1.242 0 0 18.197 1.395 18.425 0.782 1942 11 12.166 0.155 0 0 12.318 0.307 14.251 1.398 1942 12 4.923 -2.461 0 0 5.075 -2.309 6.749 -1.475 1943 1 NaN NaN NaN NaN NaN NaN 7.188 0.903 1943 2 NaN NaN NaN NaN NaN NaN 6.837 0.312 1943 3 NaN NaN NaN NaN NaN NaN 9.675 -0.031 1943 4 NaN NaN NaN NaN NaN NaN 13.076 -1.132 1943 5 NaN NaN NaN NaN NaN NaN 20.018 1.383 1943 6 NaN NaN NaN NaN NaN NaN 25.656 2.863 1943 7 NaN NaN NaN NaN NaN NaN 25.466 0.174 1943 8 NaN NaN NaN NaN NaN NaN 25.410 0.082 1943 9 NaN NaN NaN NaN NaN NaN 21.883 -1.111 1943 10 NaN NaN NaN NaN NaN NaN 16.297 -1.346 1943 11 NaN NaN NaN NaN NaN NaN 12.049 -0.803 1943 12 NaN NaN NaN NaN NaN NaN 6.943 -1.282 1944 1 NaN NaN NaN NaN NaN NaN 6.169 -0.116 1944 2 NaN NaN NaN NaN NaN NaN 6.815 0.291 1944 3 NaN NaN NaN NaN NaN NaN 9.132 -0.574 1944 4 NaN NaN NaN NaN NaN NaN 14.281 0.073 1944 5 NaN NaN NaN NaN NaN NaN 21.380 2.745 1944 6 NaN NaN NaN NaN NaN NaN 24.338 1.545 1944 7 NaN NaN NaN NaN NaN NaN 25.163 -0.129 1944 8 NaN NaN NaN NaN NaN NaN 24.594 -0.734 1944 9 24.406 2.253 1 0 NaN NaN 23.964 0.971 1944 10 NaN NaN NaN NaN NaN NaN 17.300 -0.343 1944 11 9.625 -2.386 1 0 NaN NaN 11.904 -0.948 1944 12 4.203 -3.180 1 0 NaN NaN 5.513 -2.712 1945 1 3.155 -2.289 0 2 2.931 -2.513 4.467 -1.818 1945 2 5.700 0.017 0 0 5.476 -0.207 6.852 0.328 1945 3 15.187 6.322 0 0 14.963 6.098 14.770 5.063 1945 4 16.588 3.221 0 0 16.364 2.996 16.473 2.264 1945 5 18.281 0.487 0 0 18.056 0.263 18.072 -0.563 1945 6 23.875 1.923 0 0 23.651 1.699 23.821 1.029 1945 7 25.939 1.487 0 0 25.715 1.263 25.231 -0.062 1945 8 23.629 -0.857 0 0 23.405 -1.082 24.425 -0.903 1945 9 24.078 1.926 1 0 NaN NaN 25.241 2.248 1945 10 15.119 -1.683 0 0 14.895 -1.907 17.361 -0.282 1945 11 11.640 -0.371 0 0 11.416 -0.595 14.045 1.193 1945 12 3.125 -4.258 0 0 2.901 -4.482 5.000 -3.225 1946 1 6.126 0.683 0 0 5.902 0.459 7.122 0.838 1946 2 NaN NaN NaN NaN NaN NaN 7.404 0.879 1946 3 13.228 4.363 0 0 13.004 4.139 13.227 3.521 1946 4 14.205 0.837 0 0 13.981 0.613 13.975 -0.234 1946 5 19.903 2.109 0 0 19.679 1.885 19.144 0.509 1946 6 22.152 0.200 0 0 21.927 -0.024 22.101 -0.692 1946 7 24.065 -0.387 0 0 23.840 -0.611 24.010 -1.283 1946 8 22.640 -1.847 0 0 22.415 -2.071 23.607 -1.721 1946 9 21.703 -0.449 0 0 21.479 -0.673 22.980 -0.013 1946 10 NaN NaN NaN NaN NaN NaN 18.328 0.685 1946 11 NaN NaN NaN NaN NaN NaN 15.456 2.603 1946 12 NaN NaN NaN NaN NaN NaN 10.277 2.053 1947 1 NaN NaN NaN NaN NaN NaN 10.209 3.924 1947 2 NaN NaN NaN NaN NaN NaN 3.244 -3.281 1947 3 NaN NaN NaN NaN NaN NaN 6.087 -3.619 1947 4 NaN NaN NaN NaN NaN NaN 14.911 0.703 1947 5 NaN NaN NaN NaN NaN NaN 19.290 0.655 1947 6 NaN NaN NaN NaN NaN NaN 22.145 -0.648 1947 7 NaN NaN NaN NaN NaN NaN 24.027 -1.265 1947 8 NaN NaN NaN NaN NaN NaN 25.586 0.259 1947 9 NaN NaN NaN NaN NaN NaN 23.758 0.765