% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 44225 % Primary Name: TORTOLA (EXP % Record Type: TAVG % Country: Virgin Islands [United Kingdom] % Latitude: 18.42000 +/- 0.00500 % Longitude: -64.60000 +/- 0.00500 % Elevation (m): 6.00 +/- 0.50 % # of Months: 84 % % IDs: ca - 431000000001 % % Sources: Colonial Archive % % Site Hash: b9270c3d58adbf3332484c117251fd53 % Raw Data Hash: f1ad3ca05fa612e8af8ed30596cc0dac % Adj Data Hash: 23b7dd93f979fa6986351411f8615381 % % 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 1922 8 NaN NaN NaN NaN NaN NaN 27.397 -0.703 1922 9 NaN NaN NaN NaN NaN NaN 27.328 -0.555 1922 10 NaN NaN NaN NaN NaN NaN 26.771 -0.603 1922 11 NaN NaN NaN NaN NaN NaN 25.979 -0.629 1922 12 NaN NaN NaN NaN NaN NaN 24.739 -0.612 1923 1 NaN NaN NaN NaN NaN NaN 23.738 -1.007 1923 2 NaN NaN NaN NaN NaN NaN 24.305 -0.551 1923 3 NaN NaN NaN NaN NaN NaN 24.427 -0.850 1923 4 NaN NaN NaN NaN NaN NaN 24.777 -1.052 1923 5 NaN NaN NaN NaN NaN NaN 26.596 -0.278 1923 6 NaN NaN NaN NaN NaN NaN 26.867 -0.853 1923 7 NaN NaN NaN NaN NaN NaN 27.241 -0.710 1923 8 28.050 1.423 0 0 27.208 0.581 27.999 -0.101 1923 9 27.750 1.339 0 0 26.908 0.497 27.645 -0.239 1923 10 26.950 1.048 0 0 26.108 0.206 26.974 -0.400 1923 11 26.100 0.965 0 0 25.258 0.122 26.451 -0.157 1923 12 23.350 -0.529 1 0 NaN NaN 24.762 -0.590 1924 1 NaN NaN NaN NaN NaN NaN 24.576 -0.168 1924 2 23.700 0.317 0 0 22.858 -0.526 24.394 -0.462 1924 3 24.700 0.896 0 0 23.858 0.054 25.282 0.006 1924 4 23.900 -0.457 0 0 23.058 -1.299 25.760 -0.069 1924 5 21.900 -3.501 0 0 21.058 -4.344 26.514 -0.360 1924 6 19.850 -6.398 1 0 NaN NaN 27.044 -0.676 1924 7 20.500 -5.979 1 0 NaN NaN 27.303 -0.648 1924 8 18.350 -8.277 1 0 NaN NaN 27.490 -0.610 1924 9 20.200 -6.211 1 0 NaN NaN 27.245 -0.639 1924 10 17.300 -8.602 1 0 NaN NaN 26.983 -0.391 1924 11 NaN NaN NaN NaN NaN NaN 26.463 -0.145 1924 12 23.300 -0.579 1 0 NaN NaN 25.009 -0.342 1925 1 NaN NaN NaN NaN NaN NaN 24.310 -0.435 1925 2 NaN NaN NaN NaN NaN NaN 24.027 -0.829 1925 3 NaN NaN NaN NaN NaN NaN 24.476 -0.800 1925 4 NaN NaN NaN NaN NaN NaN 25.752 -0.077 1925 5 NaN NaN NaN NaN NaN NaN 26.344 -0.529 1925 6 NaN NaN NaN NaN NaN NaN 26.989 -0.731 1925 7 NaN NaN NaN NaN NaN NaN 27.187 -0.765 1925 8 NaN NaN NaN NaN NaN NaN 27.782 -0.317 1925 9 NaN NaN NaN NaN NaN NaN 27.404 -0.479 1925 10 NaN NaN NaN NaN NaN NaN 26.836 -0.538 1925 11 NaN NaN NaN NaN NaN NaN 25.993 -0.615 1925 12 NaN NaN NaN NaN NaN NaN 25.108 -0.243 1926 1 26.100 2.828 0 2 24.493 1.221 25.132 0.387 1926 2 25.850 2.467 0 0 24.243 0.860 25.133 0.277 1926 3 26.100 2.296 0 0 24.493 0.690 25.472 0.196 1926 4 26.400 2.043 0 0 24.793 0.437 25.917 0.087 1926 5 27.800 2.399 0 0 26.193 0.792 26.865 -0.009 1926 6 27.500 1.252 0 0 25.893 -0.354 27.298 -0.423 1926 7 28.100 1.621 0 0 26.493 0.014 27.606 -0.346 1926 8 27.500 0.873 0 0 25.893 -0.734 27.826 -0.274 1926 9 29.700 3.289 0 0 28.093 1.683 27.935 0.051 1926 10 28.900 2.998 0 0 27.293 1.392 27.252 -0.123 1926 11 28.350 3.215 0 0 26.743 1.608 26.705 0.097 1926 12 27.750 3.871 0 0 26.143 2.265 25.248 -0.103 1927 1 24.450 1.178 0 0 22.843 -0.429 24.576 -0.168 1927 2 24.450 1.067 0 0 22.843 -0.540 24.520 -0.336 1927 3 24.700 0.896 0 0 23.093 -0.710 24.986 -0.290 1927 4 25.000 0.643 0 0 23.393 -0.963 25.163 -0.667 1927 5 26.350 0.949 0 0 24.743 -0.658 26.594 -0.280 1927 6 26.650 0.402 0 0 25.043 -1.204 27.259 -0.461 1927 7 26.950 0.471 0 0 25.343 -1.136 27.359 -0.592 1927 8 26.950 0.323 0 0 25.343 -1.284 27.746 -0.353 1927 9 27.500 1.089 0 0 25.893 -0.517 27.845 -0.038 1927 10 25.000 -0.902 0 0 23.393 -2.508 27.375 0.001 1927 11 25.300 0.165 0 0 23.693 -1.442 26.381 -0.227 1927 12 24.450 0.571 0 0 22.843 -1.035 25.009 -0.342 1928 1 NaN NaN NaN NaN NaN NaN 24.401 -0.344 1928 2 NaN NaN NaN NaN NaN NaN 24.807 -0.049 1928 3 NaN NaN NaN NaN NaN NaN 25.024 -0.253 1928 4 NaN NaN NaN NaN NaN NaN 25.430 -0.399 1928 5 NaN NaN NaN NaN NaN NaN 26.633 -0.241 1928 6 NaN NaN NaN NaN NaN NaN 27.579 -0.141 1928 7 NaN NaN NaN NaN NaN NaN 27.668 -0.284 1928 8 NaN NaN NaN NaN NaN NaN 27.926 -0.173 1928 9 NaN NaN NaN NaN NaN NaN 27.779 -0.104 1928 10 NaN NaN NaN NaN NaN NaN 27.477 0.102 1928 11 NaN NaN NaN NaN NaN NaN 26.815 0.207 1928 12 NaN NaN NaN NaN NaN NaN 25.392 0.041 1929 1 23.600 0.328 0 2 23.874 0.602 24.757 0.012 1929 2 23.050 -0.333 0 0 23.324 -0.059 24.882 0.026 1929 3 23.050 -0.754 0 0 23.324 -0.479 24.960 -0.317 1929 4 25.250 0.893 0 0 25.524 1.167 25.598 -0.231 1929 5 25.000 -0.401 0 0 25.274 -0.127 25.972 -0.901 1929 6 25.250 -0.998 0 0 25.524 -0.723 26.914 -0.806 1929 7 26.100 -0.379 0 0 26.374 -0.105 27.430 -0.522 1929 8 25.800 -0.827 0 0 26.074 -0.553 27.333 -0.767 1929 9 25.800 -0.611 0 0 26.074 -0.336 27.468 -0.416 1929 10 25.850 -0.052 0 0 26.124 0.223 27.268 -0.106 1929 11 24.450 -0.685 0 0 24.724 -0.411 26.248 -0.360 1929 12 23.350 -0.529 1 0 NaN NaN 25.159 -0.192 1930 1 22.500 -0.772 0 0 22.774 -0.498 24.189 -0.555 1930 2 22.200 -1.183 0 0 22.474 -0.909 24.357 -0.499 1930 3 22.500 -1.304 0 0 22.774 -1.029 25.006 -0.270 1930 4 24.150 -0.207 0 0 24.424 0.067 25.782 -0.048 1930 5 25.550 0.149 0 0 25.824 0.423 27.022 0.148 1930 6 25.000 -1.248 0 0 25.274 -0.973 27.284 -0.436 1930 7 26.100 -0.379 0 0 26.374 -0.105 27.618 -0.334 1930 8 25.850 -0.777 0 0 26.124 -0.503 28.071 -0.029 1930 9 25.550 -0.861 0 0 25.824 -0.586 27.759 -0.124 1930 10 25.000 -0.902 0 0 25.274 -0.627 27.396 0.022 1930 11 23.900 -1.235 0 4 25.783 0.647 26.805 0.197 1930 12 23.350 -0.529 1 0 NaN NaN 26.016 0.665 1931 1 22.250 -1.022 0 0 24.133 0.861 25.087 0.343 1931 2 21.650 -1.733 0 0 23.533 0.149 24.932 0.076 1931 3 22.750 -1.054 0 0 24.633 0.829 26.027 0.751 1931 4 23.900 -0.457 0 0 25.783 1.426 26.424 0.594 1931 5 24.700 -0.701 0 0 26.583 1.181 27.430 0.556 1931 6 24.700 -1.548 0 0 26.583 0.335 27.947 0.226 1931 7 25.300 -1.179 0 0 27.183 0.703 27.994 0.042 1931 8 24.700 -1.927 0 0 26.583 -0.044 28.107 0.007 1931 9 23.900 -2.511 0 0 25.783 -0.628 27.504 -0.379 1931 10 23.350 -2.552 0 0 25.233 -0.669 27.273 -0.101 1931 11 22.500 -2.635 0 0 24.383 -0.753 26.363 -0.245 1931 12 22.800 -1.079 1 0 NaN NaN 25.400 0.049 1932 1 21.650 -1.622 0 0 23.533 0.261 24.606 -0.138 1932 2 20.000 -3.383 0 0 21.883 -1.501 24.317 -0.539 1932 3 21.400 -2.404 0 0 23.283 -0.521 25.449 0.173 1932 4 22.250 -2.107 0 0 24.133 -0.224 25.900 0.070 1932 5 22.500 -2.901 0 0 24.383 -1.019 26.718 -0.156 1932 6 24.700 -1.548 0 0 26.583 0.335 27.692 -0.028 1932 7 24.450 -2.029 0 0 26.333 -0.147 27.560 -0.392 1932 8 23.900 -2.727 0 0 25.783 -0.844 27.937 -0.163 1932 9 26.100 -0.311 0 0 27.983 1.572 28.364 0.481 1932 10 NaN NaN NaN NaN NaN NaN 27.502 0.127 1932 11 NaN NaN NaN NaN NaN NaN 26.784 0.176 1932 12 NaN NaN NaN NaN NaN NaN 25.116 -0.235 1933 1 NaN NaN NaN NaN NaN NaN 24.292 -0.453 1933 2 NaN NaN NaN NaN NaN NaN 24.269 -0.587 1933 3 NaN NaN NaN NaN NaN NaN 25.142 -0.135 1933 4 NaN NaN NaN NaN NaN NaN 25.440 -0.390 1933 5 NaN NaN NaN NaN NaN NaN 26.672 -0.202 1933 6 NaN NaN NaN NaN NaN NaN 27.301 -0.420 1933 7 NaN NaN NaN NaN NaN NaN 27.602 -0.350 1933 8 NaN NaN NaN NaN NaN NaN 27.679 -0.420 1933 9 NaN NaN NaN NaN NaN NaN 27.073 -0.810