% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35491 % Primary Name: PLYMOUTH % Record Type: TAVG % Country: United States % State: NE % Latitude: 40.30310 +/- 0.00005 % Longitude: -96.98890 +/- 0.00005 % Elevation (m): 436.17 +/- 0.15 % # of Months: 100 % % Alternate Names: Missing Station ID - 256832 % % IDs: coop - 256832 % ghcnd - USC00256832 % ncdc - 12003311 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 375a446f13c76a5532d67d77361d02a3 % Raw Data Hash: 210770713281c63cc30e7001504bc021 % Adj Data Hash: 146227903deee225502dc848005bcdc6 % % 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 1904 3 NaN NaN NaN NaN NaN NaN 3.054 0.479 1904 4 NaN NaN NaN NaN NaN NaN 7.755 -2.540 1904 5 NaN NaN NaN NaN NaN NaN 15.885 -0.647 1904 6 NaN NaN NaN NaN NaN NaN 19.869 -2.161 1904 7 NaN NaN NaN NaN NaN NaN 22.513 -2.335 1904 8 NaN NaN NaN NaN NaN NaN 21.911 -1.803 1904 9 NaN NaN NaN NaN NaN NaN 17.701 -0.681 1904 10 NaN NaN NaN NaN NaN NaN 13.091 1.142 1904 11 NaN NaN NaN NaN NaN NaN 5.849 2.412 1904 12 NaN NaN NaN NaN NaN NaN -2.872 -0.069 1905 1 NaN NaN NaN NaN NaN NaN -10.525 -4.461 1905 2 NaN NaN NaN NaN NaN NaN -9.210 -6.827 1905 3 8.590 5.098 1 0 NaN NaN 6.027 3.452 1905 4 12.177 0.965 0 0 11.629 0.418 9.097 -1.198 1905 5 16.381 -1.068 0 0 15.833 -1.615 14.624 -1.908 1905 6 22.724 -0.222 0 0 22.177 -0.769 21.381 -0.649 1905 7 22.310 -3.455 0 0 21.762 -4.002 22.049 -2.799 1905 8 24.763 0.132 0 0 24.216 -0.415 24.240 0.526 1905 9 20.618 1.319 0 0 20.071 0.772 19.091 0.708 1905 10 11.445 -1.421 0 0 10.898 -1.968 10.233 -1.716 1905 11 6.852 2.498 0 0 6.304 1.950 4.998 1.560 1905 12 0.295 2.181 0 0 -0.252 1.633 -0.984 1.819 1906 1 0.804 5.952 0 0 0.257 5.404 -2.178 3.886 1906 2 2.523 3.989 0 0 1.976 3.442 -1.353 1.030 1906 3 NaN NaN NaN NaN NaN NaN -3.805 -6.380 1906 4 NaN NaN NaN NaN NaN NaN 12.254 1.959 1906 5 NaN NaN NaN NaN NaN NaN 16.674 0.142 1906 6 21.365 -1.581 0 0 20.818 -2.129 20.392 -1.638 1906 7 22.565 -3.200 0 0 22.017 -3.748 21.794 -3.054 1906 8 24.454 -0.176 0 0 23.907 -0.724 23.343 -0.371 1906 9 20.242 0.942 0 0 19.694 0.395 18.532 0.150 1906 10 11.736 -1.130 0 0 11.189 -1.677 10.705 -1.244 1906 11 3.682 -0.672 0 0 3.134 -1.220 2.617 -0.820 1906 12 0.187 2.073 0 0 -0.360 1.525 -1.439 1.363 1907 1 -4.729 0.419 0 0 -5.276 -0.129 -7.636 -1.572 1907 2 -0.720 0.746 0 0 -1.267 0.199 -1.875 0.508 1907 3 8.532 5.040 0 0 7.984 4.493 5.442 2.867 1907 4 6.987 -4.225 0 0 6.439 -4.772 6.073 -4.222 1907 5 14.384 -3.065 0 0 13.836 -3.612 12.968 -3.564 1907 6 21.178 -1.768 0 0 20.631 -2.316 20.608 -1.422 1907 7 24.834 -0.930 0 0 24.287 -1.478 24.112 -0.736 1907 8 24.503 -0.128 0 0 23.955 -0.676 23.749 0.035 1907 9 19.680 0.381 0 0 19.133 -0.166 18.072 -0.310 1907 10 12.800 -0.066 0 0 12.252 -0.614 12.308 0.359 1907 11 4.965 0.611 0 0 4.418 0.064 3.303 -0.134 1907 12 -0.727 1.158 0 0 -1.275 0.611 -1.680 1.122 1908 1 NaN NaN NaN NaN NaN NaN -1.874 4.190 1908 2 -0.840 0.626 0 0 -1.387 0.079 -1.875 0.508 1908 3 5.048 1.557 0 4 5.341 1.849 4.268 1.694 1908 4 11.808 0.597 0 0 12.101 0.889 11.678 1.383 1908 5 15.545 -1.904 0 0 15.837 -1.611 14.936 -1.596 1908 6 20.208 -2.739 0 0 20.500 -2.446 20.166 -1.864 1908 7 22.631 -3.134 0 0 22.923 -2.842 22.884 -1.964 1908 8 NaN NaN NaN NaN NaN NaN 21.871 -1.843 1908 9 20.785 1.485 0 0 21.077 1.778 20.294 1.912 1908 10 11.082 -1.784 0 0 11.375 -1.491 10.991 -0.958 1908 11 5.026 0.672 0 0 5.318 0.964 4.249 0.812 1908 12 -0.289 1.597 0 0 0.004 1.889 -0.941 1.862 1909 1 -5.027 0.120 0 0 -4.735 0.412 -6.530 -0.466 1909 2 -0.409 1.057 1 0 NaN NaN -1.514 0.869 1909 3 2.758 -0.733 0 0 3.051 -0.441 1.218 -1.356 1909 4 8.108 -3.103 0 0 8.401 -2.811 7.760 -2.535 1909 5 15.731 -1.718 0 0 16.023 -1.425 14.960 -1.571 1909 6 21.605 -1.341 0 0 21.898 -1.049 21.268 -0.762 1909 7 24.433 -1.331 0 0 24.726 -1.039 23.952 -0.896 1909 8 26.110 1.480 0 0 26.403 1.772 25.505 1.791 1909 9 18.838 -0.461 0 0 19.131 -0.168 17.668 -0.714 1909 10 11.934 -0.932 0 0 12.226 -0.639 11.598 -0.351 1909 11 6.305 1.951 0 0 6.598 2.244 4.919 1.482 1909 12 -9.806 -7.920 0 0 -9.513 -7.627 -9.843 -7.041 1910 1 -5.598 -0.451 0 0 -5.306 -0.159 -7.089 -1.025 1910 2 -4.725 -3.259 0 0 -4.432 -2.966 -4.370 -1.987 1910 3 11.895 8.403 0 0 12.188 8.696 10.488 7.913 1910 4 12.684 1.472 0 0 12.976 1.765 12.201 1.906 1910 5 13.197 -4.251 0 0 13.490 -3.959 13.130 -3.402 1910 6 21.117 -1.829 0 0 21.410 -1.536 21.192 -0.837 1910 7 24.647 -1.118 1 0 NaN NaN 24.378 -0.470 1910 8 22.926 -1.704 0 0 23.219 -1.412 21.855 -1.859 1910 9 17.334 -1.965 1 0 NaN NaN 17.984 -0.398 1910 10 14.275 1.409 0 0 14.567 1.702 14.239 2.290 1910 11 4.213 -0.141 0 0 4.506 0.152 3.176 -0.261 1910 12 NaN NaN NaN NaN NaN NaN -3.501 -0.699 1911 1 -3.517 1.631 0 0 -3.224 1.923 -4.497 1.567 1911 2 -0.943 0.523 1 0 NaN NaN -1.726 0.657 1911 3 6.319 2.827 0 0 6.611 3.120 5.524 2.949 1911 4 10.761 -0.451 0 0 11.053 -0.158 9.782 -0.513 1911 5 17.936 0.487 0 0 18.228 0.780 17.253 0.721 1911 6 25.373 2.427 0 0 25.666 2.719 25.164 3.135 1911 7 26.008 0.243 0 0 26.300 0.535 24.501 -0.347 1911 8 23.739 -0.892 0 0 24.031 -0.599 22.269 -1.445 1911 9 21.414 2.115 1 0 NaN NaN 19.770 1.387 1911 10 10.838 -2.027 0 0 11.131 -1.735 10.206 -1.743 1911 11 0.557 -3.797 0 0 0.849 -3.505 -0.022 -3.459 1911 12 -1.313 0.572 0 0 -1.021 0.865 -3.039 -0.236 1912 1 -11.584 -6.437 0 0 -11.291 -6.144 -12.610 -6.546 1912 2 -3.881 -2.415 1 0 NaN NaN -3.399 -1.016 1912 3 -3.890 -7.382 0 0 -3.598 -7.089 -4.614 -7.189 1912 4 NaN NaN NaN NaN NaN NaN 10.455 0.160 1912 5 17.528 0.079 0 0 17.821 0.372 17.324 0.792 1912 6 19.899 -3.047 1 0 NaN NaN 19.386 -2.644 1912 7 NaN NaN NaN NaN NaN NaN 25.082 0.234 1912 8 23.900 -0.730 0 0 24.193 -0.438 23.209 -0.505 1912 9 NaN NaN NaN NaN NaN NaN 16.232 -2.150 1912 10 NaN NaN NaN NaN NaN NaN 12.285 0.336 1912 11 4.308 -0.046 0 0 4.601 0.247 5.447 2.010 1912 12 -0.168 1.717 0 0 0.124 2.010 -0.506 2.297 1913 1 -4.749 0.398 0 0 -4.457 0.691 -6.215 -0.151 1913 2 NaN NaN NaN NaN NaN NaN -5.616 -3.233 1913 3 NaN NaN NaN NaN NaN NaN 0.500 -2.075 1913 4 NaN NaN NaN NaN NaN NaN 11.380 1.085 1913 5 17.026 -0.422 1 0 NaN NaN 16.093 -0.438 1913 6 22.729 -0.217 0 0 23.022 0.075 22.362 0.332 1913 7 26.274 0.509 0 0 26.566 0.802 25.773 0.925 1913 8 28.199 3.569 1 0 NaN NaN 26.754 3.040 1913 9 22.998 3.698 0 0 23.290 3.991 18.008 -0.374 1913 10 9.275 -3.591 0 0 9.567 -3.299 10.034 -1.915 1913 11 7.533 3.179 0 0 7.826 3.472 6.625 3.188 1913 12 0.222 2.108 0 0 0.515 2.400 -0.904 1.898 1914 1 0.081 5.228 0 0 0.373 5.520 -1.002 5.062 1914 2 -4.473 -3.007 1 0 NaN NaN -5.131 -2.748 1914 3 4.097 0.605 0 0 4.389 0.898 1.604 -0.971 1914 4 NaN NaN NaN NaN NaN NaN 10.623 0.328 1914 5 18.261 0.813 0 0 18.554 1.105 16.571 0.039 1914 6 NaN NaN NaN NaN NaN NaN 23.400 1.371 1914 7 NaN NaN NaN NaN NaN NaN 25.360 0.512 1914 8 NaN NaN NaN NaN NaN NaN 23.829 0.115 1914 9 19.507 0.207 0 0 19.799 0.500 18.818 0.435 1914 10 10.963 -1.903 0 0 11.255 -1.610 13.524 1.575 1914 11 2.242 -2.112 0 0 2.534 -1.820 6.295 2.857 1914 12 NaN NaN NaN NaN NaN NaN -8.784 -5.981 1915 1 NaN NaN NaN NaN NaN NaN -7.483 -1.419 1915 2 NaN NaN NaN NaN NaN NaN -1.800 0.583 1915 3 NaN NaN NaN NaN NaN NaN -3.979 -6.554 1915 4 NaN NaN NaN NaN NaN NaN 13.557 3.262 1915 5 NaN NaN NaN NaN NaN NaN 14.067 -2.465 1915 6 NaN NaN NaN NaN NaN NaN 18.733 -3.297 1915 7 NaN NaN NaN NaN NaN NaN 21.469 -3.379 1915 8 NaN NaN NaN NaN NaN NaN 19.656 -4.058 1915 9 NaN NaN NaN NaN NaN NaN 17.485 -0.897 1915 10 NaN NaN NaN NaN NaN NaN 13.786 1.837 1915 11 NaN NaN NaN NaN NaN NaN 5.908 2.470