% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42113 % Primary Name: MARSTONMOOR % Record Type: TAVG % Country: United States % State: ND % Latitude: 47.11670 +/- 0.00005 % Longitude: -99.41670 +/- 0.00005 % Elevation (m): 568.44 +/- 19.90 % # of Months: 87 % % Alternate Names: Missing Station ID - 325588 % % IDs: coop - 325588 % ghcnd - USC00325588 % ncdc - 12003949 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b889a1774ab7a75e20bd721851e2942f % Raw Data Hash: c5ec7a055390206c6ef4c2fbc9e52d62 % Adj Data Hash: 03672cf2039bf6a60c56863394445a2a % % 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 1909 2 NaN NaN NaN NaN NaN NaN -12.742 -0.951 1909 3 NaN NaN NaN NaN NaN NaN -5.596 -0.592 1909 4 NaN NaN NaN NaN NaN NaN 1.277 -3.475 1909 5 NaN NaN NaN NaN NaN NaN 11.055 -1.386 1909 6 NaN NaN NaN NaN NaN NaN 17.506 -0.227 1909 7 NaN NaN NaN NaN NaN NaN 19.872 -0.828 1909 8 NaN NaN NaN NaN NaN NaN 20.767 1.049 1909 9 NaN NaN NaN NaN NaN NaN 14.175 0.541 1909 10 NaN NaN NaN NaN NaN NaN 7.011 -0.189 1909 11 NaN NaN NaN NaN NaN NaN -2.099 0.684 1909 12 NaN NaN NaN NaN NaN NaN -15.453 -4.359 1910 1 NaN NaN NaN NaN NaN NaN -14.118 1.701 1910 2 -20.091 -7.120 1 0 NaN NaN -15.480 -3.689 1910 3 3.492 9.676 0 0 4.020 10.204 4.041 9.045 1910 4 NaN NaN NaN NaN NaN NaN 8.047 3.295 1910 5 8.723 -2.538 0 0 9.251 -2.010 10.024 -2.416 1910 6 17.662 1.109 0 0 18.190 1.638 19.523 1.790 1910 7 19.031 -0.489 1 0 NaN NaN 21.120 0.420 1910 8 15.319 -3.218 0 0 15.848 -2.689 17.979 -1.738 1910 9 11.371 -1.083 0 0 11.899 -0.554 12.534 -1.100 1910 10 7.506 1.487 0 0 8.035 2.016 10.117 2.918 1910 11 -5.855 -1.892 0 0 -5.327 -1.364 -4.823 -2.040 1910 12 -12.788 -0.515 0 0 -12.260 0.014 -11.338 -0.244 1911 1 -20.117 -3.118 0 0 -19.588 -2.589 -20.266 -4.447 1911 2 -16.527 -3.556 0 0 -15.998 -3.028 -13.735 -1.944 1911 3 -1.697 4.487 0 0 -1.168 5.016 -1.514 3.490 1911 4 4.485 0.913 0 0 5.013 1.442 5.248 0.496 1911 5 8.802 -2.459 0 0 9.330 -1.930 13.166 0.725 1911 6 16.143 -0.409 0 0 16.672 0.119 19.310 1.577 1911 7 14.588 -4.932 0 0 15.116 -4.404 18.590 -2.110 1911 8 13.451 -5.087 1 0 NaN NaN 17.152 -2.565 1911 9 NaN NaN NaN NaN NaN NaN 11.942 -1.691 1911 10 NaN NaN NaN NaN NaN NaN 6.856 -0.343 1911 11 -11.784 -7.822 0 0 -11.256 -7.293 -8.541 -5.758 1911 12 -10.966 1.308 0 0 -10.438 1.836 -9.883 1.211 1912 1 -21.975 -4.976 1 0 NaN NaN -22.912 -7.093 1912 2 -12.789 0.182 0 0 -12.261 0.710 -11.590 0.200 1912 3 -11.233 -5.049 0 0 -10.705 -4.521 -9.496 -4.492 1912 4 6.445 2.873 0 0 6.973 3.401 6.780 2.028 1912 5 11.449 0.189 1 0 NaN NaN 12.648 0.207 1912 6 NaN NaN NaN NaN NaN NaN 16.397 -1.335 1912 7 NaN NaN NaN NaN NaN NaN 19.367 -1.333 1912 8 16.134 -2.403 0 0 16.663 -1.874 17.371 -2.346 1912 9 9.968 -2.485 0 0 10.497 -1.957 10.823 -2.811 1912 10 5.582 -0.438 0 0 6.110 0.091 7.922 0.723 1912 11 -1.251 2.712 0 0 -0.723 3.240 -0.135 2.648 1912 12 -9.373 2.901 0 0 -8.844 3.430 -8.304 2.789 1913 1 -18.450 -1.451 0 0 -17.922 -0.923 -18.164 -2.346 1913 2 -15.669 -2.698 0 0 -15.141 -2.170 -14.252 -2.462 1913 3 -9.576 -3.392 0 0 -9.048 -2.864 -9.441 -4.438 1913 4 7.457 3.885 0 4 7.096 3.524 8.139 3.388 1913 5 9.943 -1.318 0 0 9.582 -1.678 10.755 -1.685 1913 6 18.563 2.011 0 0 18.202 1.650 18.943 1.210 1913 7 17.945 -1.575 0 0 17.584 -1.936 18.789 -1.911 1913 8 19.201 0.664 0 0 18.840 0.303 20.672 0.955 1913 9 12.881 0.428 1 0 NaN NaN 13.628 -0.006 1913 10 3.338 -2.681 0 0 2.977 -3.042 5.159 -2.040 1913 11 0.472 4.435 0 0 0.111 4.074 1.018 3.801 1913 12 -5.956 6.318 0 0 -6.317 5.957 -5.402 5.692 1914 1 NaN NaN NaN NaN NaN NaN -11.582 4.237 1914 2 -16.208 -3.237 1 0 NaN NaN -18.146 -6.355 1914 3 NaN NaN NaN NaN NaN NaN -4.447 0.556 1914 4 NaN NaN NaN NaN NaN NaN 4.233 -0.519 1914 5 NaN NaN NaN NaN NaN NaN 13.360 0.920 1914 6 15.696 -0.856 0 0 15.336 -1.217 16.961 -0.772 1914 7 21.425 1.905 0 0 21.064 1.544 22.514 1.814 1914 8 16.882 -1.655 0 0 16.521 -2.016 18.078 -1.639 1914 9 14.885 2.431 0 0 14.524 2.071 14.824 1.190 1914 10 9.250 3.231 0 0 8.889 2.870 11.590 4.390 1914 11 -2.107 1.855 0 0 -2.468 1.495 -0.710 2.073 1914 12 -15.807 -3.533 0 0 -16.167 -3.894 -15.109 -4.016 1915 1 -16.066 0.933 0 0 -16.427 0.572 -16.384 -0.565 1915 2 -8.079 4.892 0 0 -8.439 4.531 -8.012 3.779 1915 3 -4.695 1.489 0 0 -5.056 1.128 -5.071 -0.067 1915 4 9.436 5.864 0 0 9.075 5.503 9.807 5.056 1915 5 9.545 -1.715 0 0 9.184 -2.076 10.725 -1.716 1915 6 12.942 -3.610 0 0 12.582 -3.971 13.938 -3.794 1915 7 15.903 -3.617 1 0 NaN NaN 17.410 -3.290 1915 8 16.218 -2.319 0 0 15.857 -2.680 18.238 -1.479 1915 9 12.452 -0.002 0 0 12.091 -0.363 12.746 -0.888 1915 10 7.149 1.130 0 0 6.788 0.769 9.011 1.812 1915 11 NaN NaN NaN NaN NaN NaN -2.150 0.633 1915 12 NaN NaN NaN NaN NaN NaN -9.818 1.276 1916 1 NaN NaN NaN NaN NaN NaN -22.009 -6.190 1916 2 NaN NaN NaN NaN NaN NaN -14.248 -2.457 1916 3 -7.445 -1.261 1 0 NaN NaN -7.662 -2.659 1916 4 3.388 -0.183 0 0 3.027 -0.544 3.882 -0.869 1916 5 10.177 -1.083 0 0 9.817 -1.444 10.720 -1.720 1916 6 13.684 -2.869 1 0 NaN NaN 14.521 -3.212 1916 7 22.325 2.805 0 0 21.964 2.444 23.307 2.607 1916 8 18.217 -0.321 0 0 17.856 -0.681 19.362 -0.355 1916 9 12.356 -0.097 1 0 NaN NaN 12.321 -1.313 1916 10 3.582 -2.437 0 0 3.221 -2.798 5.350 -1.849 1916 11 -3.417 0.546 0 0 -3.778 0.185 -1.842 0.941 1916 12 NaN NaN NaN NaN NaN NaN -16.617 -5.523 1917 1 -17.681 -0.682 0 0 -18.042 -1.043 -19.153 -3.334 1917 2 -17.919 -4.948 1 0 NaN NaN -18.357 -6.566 1917 3 -6.549 -0.365 0 0 -6.910 -0.726 -6.024 -1.020 1917 4 2.635 -0.937 1 0 NaN NaN 2.898 -1.854 1917 5 10.691 -0.570 1 0 NaN NaN 10.938 -1.503 1917 6 14.720 -1.833 1 0 NaN NaN 15.221 -2.512 1917 7 NaN NaN NaN NaN NaN NaN 21.511 0.811 1917 8 17.509 -1.029 0 0 17.148 -1.389 18.748 -0.969 1917 9 14.397 1.943 1 0 NaN NaN 12.765 -0.869 1917 10 -0.082 -6.101 0 0 -0.442 -6.462 1.913 -5.286 1917 11 1.756 5.719 0 0 1.396 5.359 2.054 4.837 1917 12 NaN NaN NaN NaN NaN NaN -17.745 -6.651 1918 1 NaN NaN NaN NaN NaN NaN -20.151 -4.332 1918 2 NaN NaN NaN NaN NaN NaN -12.005 -0.214 1918 3 NaN NaN NaN NaN NaN NaN 0.941 5.945 1918 4 4.552 0.980 0 0 4.191 0.619 5.148 0.396 1918 5 10.736 -0.525 1 0 NaN NaN 10.881 -1.560 1918 6 12.977 -3.576 1 0 NaN NaN 16.816 -0.916 1918 7 18.051 -1.469 0 0 17.690 -1.830 18.701 -1.999 1918 8 17.966 -0.571 0 0 17.605 -0.932 19.557 -0.161 1918 9 9.728 -2.725 0 0 9.368 -3.086 9.985 -3.649 1918 10 6.673 0.654 0 0 6.312 0.293 8.937 1.738 1918 11 -3.447 0.516 0 0 -3.808 0.155 -1.400 1.383 1918 12 NaN NaN NaN NaN NaN NaN -8.656 2.437 1919 1 NaN NaN NaN NaN NaN NaN -10.036 5.782 1919 2 NaN NaN NaN NaN NaN NaN -13.460 -1.669 1919 3 NaN NaN NaN NaN NaN NaN -8.495 -3.492 1919 4 NaN NaN NaN NaN NaN NaN 5.472 0.720 1919 5 NaN NaN NaN NaN NaN NaN 13.149 0.708 1919 6 NaN NaN NaN NaN NaN NaN 19.141 1.408 1919 7 NaN NaN NaN NaN NaN NaN 21.727 1.027 1919 8 NaN NaN NaN NaN NaN NaN 19.981 0.264 1919 9 NaN NaN NaN NaN NaN NaN 14.550 0.916 1919 10 NaN NaN NaN NaN NaN NaN 2.195 -5.004 1919 11 NaN NaN NaN NaN NaN NaN -8.957 -6.174