% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 37250 % Primary Name: NEW BEDFORD B % Record Type: TAVG % Country: United States % State: MA % Latitude: 41.73330 +/- 0.00005 % Longitude: -70.91670 +/- 0.00005 % Elevation (m): 16.76 +/- 0.15 % # of Months: 95 % % Alternate Names: Missing Station ID - 195248 % NEW BEDFORD TUCKER % % IDs: coop - 195248 % ghcnd - USC00195248 % ncdc - 12002452 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d7f5de40650c90369ed8b4855b094548 % Raw Data Hash: b50fdf6f54f58d886863dc4f282180c1 % Adj Data Hash: 3cb69fcc89e1f7c82660c98cc9bb7cb8 % % 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 1892 1 NaN NaN NaN NaN NaN NaN 1.487 0.382 1892 2 NaN NaN NaN NaN NaN NaN 0.518 -0.287 1892 3 NaN NaN NaN NaN NaN NaN 1.050 -2.323 1892 4 NaN NaN NaN NaN NaN NaN 6.723 -0.278 1892 5 NaN NaN NaN NaN NaN NaN 10.239 -1.250 1892 6 NaN NaN NaN NaN NaN NaN 16.916 0.666 1892 7 NaN NaN NaN NaN NaN NaN 19.666 -0.238 1892 8 NaN NaN NaN NaN NaN NaN 19.944 -0.340 1892 9 NaN NaN NaN NaN NaN NaN 16.688 -0.970 1892 10 NaN NaN NaN NaN NaN NaN 11.939 -1.210 1892 11 NaN NaN NaN NaN NaN NaN 7.781 -1.017 1892 12 NaN NaN NaN NaN NaN NaN 0.941 -2.551 1893 1 -4.821 -5.324 0 0 -4.495 -4.999 -3.343 -4.448 1893 2 -3.086 -3.289 0 0 -2.761 -2.964 -1.120 -1.925 1893 3 0.019 -2.754 0 0 0.344 -2.428 1.291 -2.082 1893 4 5.575 -0.825 0 0 5.900 -0.500 5.431 -1.570 1893 5 11.864 0.977 0 0 12.189 1.302 10.969 -0.520 1893 6 16.944 1.296 0 0 17.270 1.621 15.660 -0.590 1893 7 19.606 0.303 0 0 19.931 0.629 19.350 -0.553 1893 8 19.337 -0.346 0 0 19.662 -0.020 19.867 -0.418 1893 9 14.138 -2.919 0 0 14.463 -2.594 15.489 -2.169 1893 10 11.057 -1.491 0 0 11.383 -1.165 13.203 0.054 1893 11 4.926 -3.271 0 0 5.251 -2.946 7.844 -0.954 1893 12 -0.269 -3.160 0 0 0.057 -2.834 2.585 -0.907 1894 1 -1.004 -1.507 0 0 -0.678 -1.182 1.830 0.725 1894 2 -3.230 -3.433 0 0 -2.905 -3.108 -1.121 -1.925 1894 3 4.301 1.529 0 0 4.626 1.854 5.224 1.851 1894 4 6.389 -0.011 0 0 6.714 0.315 6.309 -0.692 1894 5 12.903 2.016 0 0 13.229 2.342 11.657 0.169 1894 6 17.685 2.036 0 0 18.011 2.362 16.756 0.506 1894 7 20.932 1.630 0 0 21.257 1.955 20.728 0.824 1894 8 18.477 -1.206 0 0 18.802 -0.881 18.905 -1.379 1894 9 17.593 0.535 0 0 17.918 0.861 18.669 1.011 1894 10 11.559 -0.989 0 0 11.885 -0.663 13.168 0.019 1894 11 3.851 -4.346 0 0 4.176 -4.021 6.565 -2.234 1894 12 -0.090 -2.980 0 0 0.236 -2.655 2.798 -0.694 1895 1 -2.007 -2.511 0 0 -1.682 -2.185 0.749 -0.356 1895 2 -4.338 -4.541 0 0 -4.012 -4.215 -3.064 -3.869 1895 3 0.735 -2.037 0 0 1.060 -1.712 1.941 -1.433 1895 4 6.333 -0.066 0 0 6.659 0.259 6.204 -0.797 1895 5 12.867 1.980 0 0 13.193 2.306 11.829 0.340 1895 6 17.907 2.259 0 0 18.233 2.584 16.899 0.649 1895 7 18.961 -0.342 0 0 19.286 -0.016 18.459 -1.445 1895 8 20.269 0.586 0 0 20.594 0.911 20.375 0.091 1895 9 17.352 0.295 0 0 17.677 0.620 18.507 0.848 1895 10 8.889 -3.659 0 0 9.214 -3.334 10.510 -2.639 1895 11 6.907 -1.290 0 0 7.233 -0.964 9.787 0.989 1895 12 1.523 -1.367 0 0 1.849 -1.042 4.369 0.877 1896 1 -4.014 -4.518 0 0 -3.689 -4.193 -0.836 -1.941 1896 2 -1.825 -2.028 0 0 -1.500 -1.703 0.360 -0.445 1896 3 -0.574 -3.346 0 0 -0.249 -3.021 0.748 -2.626 1896 4 7.241 0.841 0 0 7.566 1.167 7.102 0.101 1896 5 13.799 2.912 0 0 14.125 3.238 12.691 1.202 1896 6 17.056 1.407 0 0 17.381 1.732 15.739 -0.511 1896 7 20.412 1.110 0 0 20.738 1.435 20.053 0.150 1896 8 20.125 0.443 0 0 20.451 0.768 20.378 0.093 1896 9 16.418 -0.640 0 0 16.743 -0.314 16.911 -0.748 1896 10 9.907 -2.640 0 0 10.233 -2.315 11.368 -1.781 1896 11 7.778 -0.419 0 0 8.103 -0.094 10.516 1.718 1896 12 -1.722 -4.613 0 0 -1.397 -4.288 1.337 -2.156 1897 1 -2.574 -3.078 0 0 -2.249 -2.752 0.514 -0.591 1897 2 -0.893 -1.096 0 0 -0.567 -0.770 0.828 0.024 1897 3 2.276 -0.496 0 0 2.601 -0.171 3.405 0.031 1897 4 7.611 1.211 0 0 7.937 1.537 7.258 0.257 1897 5 13.047 2.160 0 4 12.644 1.757 11.745 0.256 1897 6 16.000 0.351 0 0 15.597 -0.052 14.562 -1.688 1897 7 21.093 1.791 0 0 20.690 1.388 19.755 -0.148 1897 8 20.484 0.801 0 0 20.081 0.398 19.598 -0.686 1897 9 17.463 0.406 0 0 17.060 0.003 17.147 -0.512 1897 10 12.352 -0.196 0 0 11.949 -0.599 13.090 -0.059 1897 11 5.852 -2.345 0 0 5.449 -2.748 8.334 -0.465 1897 12 1.846 -1.045 0 0 1.443 -1.448 3.672 0.180 1898 1 -0.824 -1.328 0 0 -1.227 -1.731 1.243 0.138 1898 2 0.514 0.311 0 0 0.111 -0.092 1.469 0.665 1898 3 5.161 2.389 0 0 4.758 1.986 5.467 2.093 1898 4 5.944 -0.455 0 0 5.542 -0.858 5.583 -1.418 1898 5 11.833 0.946 0 0 11.430 0.543 10.620 -0.869 1898 6 17.074 1.425 0 0 16.671 1.022 15.567 -0.683 1898 7 20.824 1.522 0 0 20.422 1.119 19.752 -0.151 1898 8 21.272 1.590 0 0 20.870 1.187 21.181 0.897 1898 9 18.352 1.295 0 0 17.949 0.892 18.681 1.022 1898 10 11.630 -0.918 0 0 11.227 -1.321 13.558 0.409 1898 11 5.333 -2.864 0 0 4.930 -3.267 8.036 -0.762 1898 12 -0.054 -2.945 0 0 -0.457 -3.347 2.345 -1.147 1899 1 -1.237 -1.740 0 0 -1.639 -2.143 1.139 0.034 1899 2 -3.770 -3.973 0 0 -4.173 -4.376 -2.015 -2.819 1899 3 1.649 -1.124 0 0 1.246 -1.526 2.232 -1.142 1899 4 7.630 1.230 0 0 7.227 0.827 6.577 -0.424 1899 5 13.011 2.124 0 0 12.608 1.721 11.003 -0.486 1899 6 19.611 3.962 0 0 19.208 3.560 17.353 1.103 1899 7 20.878 1.576 0 0 20.475 1.173 19.621 -0.282 1899 8 20.111 0.428 0 0 19.708 0.025 19.587 -0.697 1899 9 16.537 -0.520 0 0 16.134 -0.923 16.822 -0.836 1899 10 12.204 -0.344 0 0 11.801 -0.747 13.504 0.354 1899 11 6.315 -1.882 0 0 5.912 -2.285 8.332 -0.467 1899 12 2.333 -0.557 0 0 1.930 -0.960 4.007 0.515 1900 1 1.152 0.649 0 0 0.749 0.246 2.094 0.989 1900 2 -0.575 -0.778 0 0 -0.978 -1.181 0.221 -0.584 1900 3 1.705 -1.067 0 0 1.302 -1.470 1.455 -1.919 1900 4 8.631 2.231 0 0 8.228 1.828 7.268 0.267 1900 5 13.136 2.249 0 0 12.733 1.846 10.582 -0.906 1900 6 18.407 2.759 0 0 18.005 2.356 16.306 0.056 1900 7 21.889 2.587 0 0 21.486 2.184 20.516 0.612 1900 8 21.308 1.625 0 0 20.905 1.223 20.874 0.590 1900 9 18.519 1.461 0 0 18.116 1.058 18.733 1.074 1900 10 13.907 1.359 0 0 13.504 0.956 14.885 1.736 1900 11 NaN NaN NaN NaN NaN NaN 9.962 1.164 1900 12 0.917 -1.974 1 0 NaN NaN 2.940 -0.552 1901 1 NaN NaN NaN NaN NaN NaN 0.794 -0.311 1901 2 NaN NaN NaN NaN NaN NaN -2.738 -3.542 1901 3 NaN NaN NaN NaN NaN NaN 2.906 -0.467 1901 4 NaN NaN NaN NaN NaN NaN 6.052 -0.950 1901 5 NaN NaN NaN NaN NaN NaN 10.295 -1.194 1901 6 NaN NaN NaN NaN NaN NaN 16.348 0.098 1901 7 NaN NaN NaN NaN NaN NaN 20.790 0.887 1901 8 NaN NaN NaN NaN NaN NaN 20.590 0.306 1901 9 NaN NaN NaN NaN NaN NaN 18.429 0.770 1901 10 NaN NaN NaN NaN NaN NaN 12.817 -0.333 1901 11 NaN NaN NaN NaN NaN NaN 5.767 -3.031 1901 12 NaN NaN NaN NaN NaN NaN 2.723 -0.769