% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 33411 % Primary Name: NEW HAVEN % Record Type: TAVG % Country: United States % State: MO % Latitude: 38.61670 +/- 0.00005 % Longitude: -91.21670 +/- 0.00005 % Elevation (m): 154.23 +/- 0.15 % # of Months: 101 % % Alternate Names: Missing Station ID - 236031 % % IDs: coop - 236031 % ghcnd - USC00236031 % ncdc - 12002987 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: eee9935c3adda6ce5890cafa709170e3 % Raw Data Hash: af8f4cc75c640e234bf19168ace676a4 % Adj Data Hash: 6c51105b543128ddf18cff086d773fdf % % 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 1897 5 NaN NaN NaN NaN NaN NaN 15.931 -1.904 1897 6 NaN NaN NaN NaN NaN NaN 22.816 -0.037 1897 7 NaN NaN NaN NaN NaN NaN 25.649 0.314 1897 8 NaN NaN NaN NaN NaN NaN 22.671 -1.526 1897 9 NaN NaN NaN NaN NaN NaN 23.352 3.378 1897 10 NaN NaN NaN NaN NaN NaN 16.979 3.405 1897 11 NaN NaN NaN NaN NaN NaN 5.540 -0.629 1897 12 NaN NaN NaN NaN NaN NaN -2.669 -2.562 1898 1 NaN NaN NaN NaN NaN NaN -0.789 2.576 1898 2 NaN NaN NaN NaN NaN NaN 0.500 0.869 1898 3 NaN NaN NaN NaN NaN NaN 5.867 0.824 1898 4 NaN NaN NaN NaN NaN NaN 10.749 -1.597 1898 5 19.427 -0.297 0 0 19.718 -0.005 17.332 -0.503 1898 6 24.796 0.055 0 0 25.034 0.293 23.709 0.855 1898 7 25.054 -2.169 0 0 25.258 -1.964 24.391 -0.943 1898 8 25.305 -0.780 0 0 25.562 -0.523 23.973 -0.224 1898 9 23.167 1.304 0 0 23.546 1.683 21.564 1.589 1898 10 12.796 -2.667 0 0 13.276 -2.187 11.687 -1.887 1898 11 5.630 -2.428 0 0 6.141 -1.916 3.989 -2.180 1898 12 -0.771 -2.553 0 0 -0.269 -2.051 -2.825 -2.719 1899 1 -0.305 1.172 0 0 0.168 1.645 -2.909 0.456 1899 2 -5.615 -7.134 0 0 -5.195 -6.714 -7.447 -7.079 1899 3 3.674 -3.257 0 0 4.035 -2.896 1.212 -3.830 1899 4 13.407 -0.827 0 0 13.731 -0.503 12.202 -0.144 1899 5 20.054 0.331 0 0 20.345 0.622 18.179 0.344 1899 6 24.444 -0.297 0 0 24.682 -0.059 23.306 0.453 1899 7 25.323 -1.900 0 0 25.527 -1.695 24.237 -1.097 1899 8 26.756 0.671 0 0 27.013 0.928 24.962 0.766 1899 9 20.373 -1.490 0 0 20.753 -1.110 18.900 -1.075 1899 10 17.401 1.939 0 0 17.881 2.419 16.542 2.967 1899 11 10.463 2.406 0 0 10.975 2.917 9.352 3.183 1899 12 -0.627 -2.409 0 0 -0.126 -1.908 -1.731 -1.625 1900 1 1.505 2.982 0 0 1.978 3.455 -0.548 2.817 1900 2 -2.882 -4.401 0 0 -2.462 -3.981 -4.732 -4.363 1900 3 5.123 -1.809 0 0 5.484 -1.447 2.388 -2.655 1900 4 13.690 -0.544 0 0 14.014 -0.221 12.932 0.586 1900 5 19.713 -0.010 0 0 20.004 0.281 18.342 0.507 1900 6 23.640 -1.102 0 0 23.878 -0.864 22.322 -0.532 1900 7 25.377 -1.845 0 0 25.582 -1.641 24.673 -0.661 1900 8 27.708 1.623 0 0 27.965 1.880 27.062 2.866 1900 9 22.632 0.769 0 0 23.011 1.148 21.023 1.048 1900 10 17.313 1.851 0 0 17.793 2.331 16.823 3.249 1900 11 7.548 -0.509 0 0 8.060 0.003 5.807 -0.362 1900 12 2.429 0.647 0 0 2.930 1.148 0.746 0.852 1901 1 2.312 3.789 0 0 2.784 4.261 -0.701 2.665 1901 2 -0.635 -2.154 0 4 -0.845 -2.364 -4.147 -3.779 1901 3 7.186 0.255 0 0 7.006 0.074 4.406 -0.637 1901 4 12.241 -1.994 0 0 12.079 -2.156 11.164 -1.183 1901 5 18.387 -1.336 0 0 18.241 -1.482 17.050 -0.785 1901 6 26.241 1.499 0 0 26.122 1.380 25.035 2.182 1901 7 30.215 2.993 0 0 30.113 2.891 29.423 4.089 1901 8 26.792 0.707 0 0 26.664 0.578 25.183 0.986 1901 9 21.500 -0.363 0 0 21.310 -0.553 20.240 0.265 1901 10 16.452 0.989 0 0 16.212 0.749 15.055 1.480 1901 11 7.167 -0.891 0 0 6.911 -1.147 5.076 -1.093 1901 12 -0.517 -2.299 0 0 -0.768 -2.550 -3.306 -3.200 1902 1 -0.215 1.262 0 0 -0.451 1.026 -3.222 0.143 1902 2 -3.313 -4.833 0 0 -3.524 -5.043 -6.257 -5.888 1902 3 8.262 1.331 0 0 8.081 1.150 5.897 0.855 1902 4 13.056 -1.179 0 0 12.894 -1.341 11.295 -1.051 1902 5 21.756 2.033 0 0 21.611 1.888 19.829 1.994 1902 6 22.926 -1.816 0 0 22.807 -1.935 21.085 -1.769 1902 7 26.039 -1.183 0 0 25.937 -1.285 24.909 -0.426 1902 8 24.642 -1.444 0 0 24.513 -1.572 22.567 -1.630 1902 9 18.426 -3.437 0 0 18.236 -3.627 16.880 -3.095 1902 10 16.649 1.186 0 0 16.409 0.947 14.851 1.277 1902 11 12.019 3.961 0 0 11.763 3.705 9.640 3.471 1902 12 0.771 -1.011 0 0 0.520 -1.262 -2.050 -1.944 1903 1 0.556 2.033 0 0 0.319 1.797 -3.002 0.363 1903 2 0.357 -1.162 0 0 0.147 -1.372 -2.892 -2.523 1903 3 9.283 2.352 0 0 9.102 2.171 6.951 1.908 1903 4 14.648 0.414 0 0 14.486 0.252 12.615 0.269 1903 5 19.892 0.169 0 0 19.747 0.024 17.986 0.151 1903 6 20.815 -3.927 0 0 20.696 -4.046 19.312 -3.541 1903 7 26.452 -0.771 0 0 26.349 -0.873 24.944 -0.390 1903 8 25.269 -0.816 0 0 25.140 -0.945 23.121 -1.076 1903 9 21.389 -0.474 0 0 21.199 -0.664 18.916 -1.059 1903 10 16.147 0.685 0 0 15.907 0.445 13.724 0.150 1903 11 6.167 -1.891 0 0 5.911 -2.147 3.848 -2.322 1903 12 -0.269 -2.051 0 0 -0.519 -2.301 -3.302 -3.195 1904 1 -1.935 -0.458 0 0 -2.172 -0.695 -6.405 -3.040 1904 2 0.077 -1.443 0 0 -0.134 -1.653 -3.984 -3.615 1904 3 8.280 1.348 0 0 8.099 1.168 4.713 -0.330 1904 4 10.148 -4.086 0 0 9.986 -4.248 8.514 -3.832 1904 5 18.190 -1.533 0 0 18.044 -1.679 16.699 -1.136 1904 6 22.204 -2.538 0 0 22.085 -2.657 20.911 -1.943 1904 7 24.337 -2.885 0 0 24.235 -2.988 22.999 -2.335 1904 8 24.032 -2.053 0 0 23.904 -2.181 21.963 -2.234 1904 9 21.519 -0.344 0 0 21.329 -0.534 20.204 0.229 1904 10 14.713 -0.749 0 0 14.473 -0.989 13.694 0.120 1904 11 8.005 -0.052 0 0 7.749 -0.308 6.783 0.614 1904 12 1.695 -0.087 0 0 1.445 -0.337 -1.011 -0.905 1905 1 -4.189 -2.712 0 0 -4.425 -2.948 -7.415 -4.050 1905 2 -4.952 -6.471 0 0 -5.162 -6.681 -7.746 -7.377 1905 3 10.621 3.690 0 0 10.440 3.509 8.212 3.169 1905 4 13.538 -0.696 0 0 13.376 -0.858 11.855 -0.492 1905 5 19.466 -0.257 0 0 19.321 -0.403 17.326 -0.509 1905 6 25.130 0.388 0 0 25.011 0.269 23.768 0.915 1905 7 24.060 -3.163 0 0 23.957 -3.265 23.002 -2.332 1905 8 25.603 -0.482 0 0 25.475 -0.611 24.355 0.158 1905 9 21.657 -0.206 0 0 21.467 -0.396 20.247 0.273 1905 10 17.969 2.507 1 0 NaN NaN 12.447 -1.127 1905 11 8.342 0.284 1 0 NaN NaN 6.614 0.445 1905 12 2.027 0.245 0 0 1.777 -0.005 -0.204 -0.098 1906 1 2.932 4.409 0 0 2.696 4.173 -0.609 2.757 1906 2 1.205 -0.314 0 0 0.995 -0.524 -1.411 -1.042 1906 3 1.916 -5.015 0 0 1.735 -5.196 -1.264 -6.306 1906 4 16.318 2.084 0 0 16.156 1.922 14.146 1.800 1906 5 19.956 0.233 0 0 19.811 0.088 18.017 0.182 1906 6 22.435 -2.307 0 0 22.316 -2.426 21.676 -1.178 1906 7 24.302 -2.921 0 0 24.199 -3.023 23.518 -1.816 1906 8 25.224 -0.861 0 0 25.096 -0.990 24.481 0.284 1906 9 23.012 1.149 0 0 22.822 0.959 21.958 1.984 1906 10 NaN NaN NaN NaN NaN NaN 12.923 -0.651 1906 11 NaN NaN NaN NaN NaN NaN 4.602 -1.567 1906 12 NaN NaN NaN NaN NaN NaN 0.564 0.670 1907 1 NaN NaN NaN NaN NaN NaN -0.911 2.455 1907 2 NaN NaN NaN NaN NaN NaN -0.819 -0.450 1907 3 NaN NaN NaN NaN NaN NaN 9.418 4.375 1907 4 NaN NaN NaN NaN NaN NaN 7.849 -4.497 1907 5 NaN NaN NaN NaN NaN NaN 13.943 -3.892 1907 6 NaN NaN NaN NaN NaN NaN 20.711 -2.143 1907 7 NaN NaN NaN NaN NaN NaN 24.935 -0.400 1907 8 NaN NaN NaN NaN NaN NaN 23.499 -0.698 1907 9 NaN NaN NaN NaN NaN NaN 19.356 -0.618