% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32687 % Primary Name: TAPPAHANNOCK % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.91670 +/- 0.00005 % Longitude: -76.86670 +/- 0.00005 % Elevation (m): 7.62 +/- 0.15 % # of Months: 114 % % Alternate Names: Missing Station ID - 448331 % % IDs: coop - 448331 % ghcnd - USC00448331 % ncdc - 12010263 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: aa170980e2253a1c388470a4b4e03dc4 % Raw Data Hash: 7ac3ab5c19133bdf38917c1f38f281ec % Adj Data Hash: b0162a05fc4f947270a6897edd8c9cad % % 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 1929 11 NaN NaN NaN NaN NaN NaN 9.885 0.930 1929 12 NaN NaN NaN NaN NaN NaN 4.314 0.581 1930 1 NaN NaN NaN NaN NaN NaN 3.205 1.184 1930 2 NaN NaN NaN NaN NaN NaN 5.983 2.654 1930 3 NaN NaN NaN NaN NaN NaN 7.784 -0.327 1930 4 NaN NaN NaN NaN NaN NaN 12.937 -0.865 1930 5 NaN NaN NaN NaN NaN NaN 19.756 1.060 1930 6 NaN NaN NaN NaN NaN NaN 22.994 0.066 1930 7 NaN NaN NaN NaN NaN NaN 26.401 1.129 1930 8 NaN NaN NaN NaN NaN NaN 24.335 -0.327 1930 9 NaN NaN NaN NaN NaN NaN 24.464 3.438 1930 10 NaN NaN NaN NaN NaN NaN 12.813 -1.585 1930 11 7.788 -1.329 0 0 8.006 -1.111 8.461 -0.494 1930 12 1.366 -2.528 0 0 1.424 -2.470 1.861 -1.872 1931 1 2.833 0.651 0 0 2.924 0.742 3.084 1.063 1931 2 3.778 0.288 0 0 4.048 0.557 4.008 0.679 1931 3 4.556 -3.717 0 0 4.971 -3.301 5.461 -2.650 1931 4 12.056 -1.907 0 0 12.540 -1.423 12.719 -1.083 1931 5 18.222 -0.635 0 0 18.781 -0.076 18.091 -0.605 1931 6 22.833 -0.256 0 0 23.464 0.375 22.776 -0.152 1931 7 26.278 0.845 0 0 26.899 1.466 26.442 1.170 1931 8 24.444 -0.379 0 0 24.996 0.172 24.234 -0.429 1931 9 NaN NaN NaN NaN NaN NaN 23.615 2.589 1931 10 15.889 1.330 0 0 16.290 1.731 15.897 1.499 1931 11 11.278 2.161 0 0 11.495 2.378 12.707 3.752 1931 12 7.889 3.994 0 0 7.947 4.053 7.736 4.003 1932 1 9.111 6.929 0 0 9.202 7.020 8.451 6.430 1932 2 NaN NaN NaN NaN NaN NaN 6.669 3.340 1932 3 5.111 -3.161 0 0 5.526 -2.746 6.095 -2.016 1932 4 11.889 -2.074 0 0 12.373 -1.590 12.601 -1.201 1932 5 18.500 -0.357 0 0 19.059 0.201 17.921 -0.775 1932 6 23.389 0.300 0 0 24.020 0.931 23.010 0.082 1932 7 25.444 0.012 0 0 26.066 0.633 25.441 0.169 1932 8 25.056 0.232 0 0 25.607 0.784 25.244 0.581 1932 9 20.667 -0.520 0 0 21.160 -0.027 21.651 0.625 1932 10 14.667 0.107 0 0 15.068 0.509 14.624 0.225 1932 11 7.778 -1.339 0 0 7.995 -1.122 8.138 -0.818 1932 12 NaN NaN NaN NaN NaN NaN 4.826 1.093 1933 1 NaN NaN NaN NaN NaN NaN 6.607 4.586 1933 2 7.842 4.352 1 0 NaN NaN 4.229 0.900 1933 3 7.944 -0.328 0 1 7.834 -0.438 7.393 -0.718 1933 4 13.000 -0.963 0 0 12.959 -1.004 13.638 -0.164 1933 5 20.111 1.254 0 0 20.144 1.287 20.206 1.510 1933 6 23.667 0.578 0 0 23.772 0.683 23.581 0.653 1933 7 24.222 -1.211 0 0 24.318 -1.115 24.330 -0.942 1933 8 24.778 -0.046 0 0 24.804 -0.020 24.530 -0.133 1933 9 23.333 2.146 0 0 23.301 2.114 23.412 2.386 1933 10 14.667 0.107 0 0 14.542 -0.017 13.818 -0.581 1933 11 8.389 -0.728 0 0 8.081 -1.036 8.260 -0.695 1933 12 6.444 2.550 0 0 5.977 2.083 5.198 1.465 1934 1 5.444 3.262 0 0 5.010 2.828 4.704 2.683 1934 2 -2.056 -5.546 0 0 -2.311 -5.801 -2.821 -6.150 1934 3 6.667 -1.606 0 0 6.556 -1.716 6.277 -1.834 1934 4 12.778 -1.185 0 0 12.736 -1.227 13.548 -0.254 1934 5 19.667 0.809 0 0 19.700 0.842 18.991 0.295 1934 6 24.889 1.800 0 0 24.994 1.905 24.902 1.974 1934 7 26.722 1.289 0 0 26.818 1.385 26.743 1.471 1934 8 23.944 -0.879 0 0 23.971 -0.853 23.961 -0.702 1934 9 21.889 0.702 0 0 21.856 0.670 22.073 1.047 1934 10 14.444 -0.115 0 0 14.320 -0.239 13.639 -0.759 1934 11 9.889 0.772 0 0 9.581 0.464 10.261 1.305 1934 12 3.778 -0.117 0 0 3.311 -0.584 3.289 -0.444 1935 1 1.389 -0.793 0 1 1.499 -0.683 1.299 -0.722 1935 2 3.000 -0.490 0 0 2.991 -0.499 2.707 -0.622 1935 3 11.278 3.005 0 0 11.173 2.901 11.191 3.080 1935 4 11.167 -2.796 0 0 11.016 -2.947 11.976 -1.826 1935 5 16.889 -1.968 0 0 16.689 -2.168 16.831 -1.865 1935 6 23.444 0.355 0 0 23.197 0.108 22.718 -0.210 1935 7 25.889 0.456 0 0 25.648 0.215 25.457 0.186 1935 8 24.667 -0.157 0 0 24.472 -0.352 24.347 -0.315 1935 9 19.444 -1.742 0 0 19.288 -1.899 20.102 -0.923 1935 10 15.000 0.441 0 0 14.904 0.345 14.256 -0.142 1935 11 10.722 1.605 0 0 10.748 1.632 11.074 2.118 1935 12 0.389 -3.506 0 0 0.520 -3.374 -0.207 -3.940 1936 1 -0.556 -2.738 0 0 -0.446 -2.628 -0.512 -2.533 1936 2 -0.778 -4.268 0 0 -0.786 -4.277 -0.729 -4.058 1936 3 10.389 2.117 0 0 10.284 2.012 10.922 2.811 1936 4 12.222 -1.741 0 0 12.072 -1.891 12.221 -1.581 1936 5 18.778 -0.079 0 0 18.578 -0.279 19.454 0.758 1936 6 22.778 -0.311 0 0 22.530 -0.559 22.680 -0.248 1936 7 25.778 0.345 0 0 25.537 0.104 25.728 0.457 1936 8 25.889 1.065 0 0 25.694 0.870 25.647 0.984 1936 9 22.444 1.258 0 0 22.288 1.101 22.371 1.345 1936 10 16.556 1.996 0 0 16.460 1.901 15.453 1.055 1936 11 8.611 -0.506 0 0 8.637 -0.479 8.378 -0.578 1936 12 4.278 0.383 0 0 4.409 0.515 4.255 0.522 1937 1 8.667 6.485 0 0 8.777 6.594 7.278 5.257 1937 2 3.889 0.399 0 0 3.880 0.390 3.099 -0.231 1937 3 6.111 -2.161 0 0 6.006 -2.266 6.480 -1.631 1937 4 12.556 -1.407 0 0 12.405 -1.558 13.231 -0.571 1937 5 19.111 0.254 0 0 18.911 0.054 18.569 -0.127 1937 6 24.444 1.355 0 0 24.197 1.108 23.937 1.010 1937 7 25.111 -0.322 0 0 24.870 -0.563 24.863 -0.408 1937 8 25.611 0.787 0 0 25.416 0.592 25.256 0.594 1937 9 19.167 -2.020 0 0 19.010 -2.177 19.215 -1.811 1937 10 13.444 -1.115 0 0 13.349 -1.210 12.818 -1.580 1937 11 7.111 -2.006 0 0 7.137 -1.979 8.324 -0.632 1937 12 2.667 -1.228 0 0 2.798 -1.096 3.028 -0.705 1938 1 2.111 -0.071 0 0 2.221 0.039 2.341 0.320 1938 2 5.944 2.454 0 0 5.936 2.446 5.666 2.337 1938 3 11.000 2.728 0 0 10.895 2.623 11.066 2.955 1938 4 15.222 1.259 0 0 15.072 1.109 15.057 1.256 1938 5 17.333 -1.524 0 0 17.134 -1.724 18.077 -0.619 1938 6 24.000 0.911 0 0 23.753 0.664 22.014 -0.914 1938 7 25.889 0.456 0 0 25.648 0.215 25.126 -0.146 1938 8 26.000 1.176 0 0 25.805 0.981 25.651 0.988 1938 9 21.333 0.146 0 0 21.177 -0.010 20.626 -0.400 1938 10 14.889 0.330 0 0 14.793 0.234 13.964 -0.434 1938 11 11.222 2.105 0 0 11.248 2.132 10.779 1.823 1938 12 4.444 0.550 0 0 4.576 0.681 3.658 -0.075 1939 1 5.056 2.873 0 0 5.165 2.983 4.009 1.988 1939 2 8.556 5.065 0 0 8.547 5.057 6.100 2.771 1939 3 10.222 1.950 0 0 10.117 1.845 9.174 1.062 1939 4 14.278 0.315 0 0 14.127 0.164 13.429 -0.373 1939 5 20.111 1.254 0 0 19.911 1.054 19.269 0.573 1939 6 25.000 1.911 0 0 24.753 1.664 24.416 1.488 1939 7 24.667 -0.766 0 0 24.426 -1.007 24.366 -0.906 1939 8 25.111 0.287 0 0 24.916 0.092 25.251 0.588 1939 9 22.889 1.702 0 0 22.733 1.546 22.304 1.279 1939 10 15.111 0.552 0 0 15.016 0.456 15.001 0.602 1939 11 7.222 -1.895 0 0 7.248 -1.868 7.638 -1.317 1939 12 4.222 0.328 0 0 4.354 0.459 4.348 0.614 1940 1 -4.111 -6.293 0 0 -4.001 -6.183 -4.114 -6.135 1940 2 2.222 -1.268 0 0 2.214 -1.277 2.639 -0.690 1940 3 6.111 -2.161 0 0 6.006 -2.266 6.267 -1.844 1940 4 11.111 -2.852 0 0 10.961 -3.002 11.682 -2.119 1940 5 19.333 0.476 0 0 19.134 0.276 18.257 -0.439 1940 6 24.667 1.578 0 0 24.419 1.330 23.641 0.713 1940 7 25.722 0.289 0 0 25.481 0.048 24.681 -0.590 1940 8 24.556 -0.268 0 0 24.360 -0.463 23.543 -1.119 1940 9 NaN NaN NaN NaN NaN NaN 19.521 -1.504 1940 10 NaN NaN NaN NaN NaN NaN 13.041 -1.357 1940 11 NaN NaN NaN NaN NaN NaN 9.322 0.366 1940 12 NaN NaN NaN NaN NaN NaN 5.794 2.061 1941 1 NaN NaN NaN NaN NaN NaN 1.641 -0.380 1941 2 NaN NaN NaN NaN NaN NaN 0.902 -2.427 1941 3 NaN NaN NaN NaN NaN NaN 5.066 -3.045 1941 4 NaN NaN NaN NaN NaN NaN 15.680 1.878 1941 5 NaN NaN NaN NaN NaN NaN 19.574 0.878 1941 6 NaN NaN NaN NaN NaN NaN 22.760 -0.168 1941 7 NaN NaN NaN NaN NaN NaN 25.593 0.321 1941 8 NaN NaN NaN NaN NaN NaN 24.467 -0.195