% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 41358 % Primary Name: DRYLAND EXP STN % Record Type: TAVG % Country: United States % State: MT % Latitude: 45.90000 +/- 0.00833 % Longitude: -111.80000 +/- 0.00833 % Elevation (m): 1495.04 +/- 0.15 % # of Months: 191 % % Alternate Names: DRYLAND EXP S % Missing Station ID - 242533 % % IDs: coop - 242533 % ghcnd - USC00242533 % ncdc - 20012331 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 30ef5a8cb112f246485af3f67ba1695b % Raw Data Hash: 2c9eb7b7417c808532eaa8d3ee04da22 % Adj Data Hash: 7db2876071d91fc1dc57d7cad9bab2b5 % % 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 1923 6 NaN NaN NaN NaN NaN NaN 11.184 -1.589 1923 7 NaN NaN NaN NaN NaN NaN 18.367 1.291 1923 8 NaN NaN NaN NaN NaN NaN 15.159 -0.915 1923 9 NaN NaN NaN NaN NaN NaN 11.229 0.391 1923 10 NaN NaN NaN NaN NaN NaN 3.142 -2.144 1923 11 NaN NaN NaN NaN NaN NaN -0.335 1.666 1923 12 NaN NaN NaN NaN NaN NaN -7.093 -1.085 1924 1 NaN NaN NaN NaN NaN NaN -9.602 -1.315 1924 2 NaN NaN NaN NaN NaN NaN -1.462 3.176 1924 3 NaN NaN NaN NaN NaN NaN -5.420 -2.991 1924 4 NaN NaN NaN NaN NaN NaN 1.760 -1.221 1924 5 NaN NaN NaN NaN NaN NaN 9.114 0.717 1924 6 16.259 1.454 1 0 NaN NaN 11.099 -1.673 1924 7 19.700 0.591 1 0 NaN NaN 16.569 -0.507 1924 8 NaN NaN NaN NaN NaN NaN 15.396 -0.678 1924 9 NaN NaN NaN NaN NaN NaN 10.463 -0.374 1924 10 NaN NaN NaN NaN NaN NaN 5.966 0.680 1924 11 NaN NaN NaN NaN NaN NaN -2.767 -0.766 1924 12 NaN NaN NaN NaN NaN NaN -11.240 -5.232 1925 1 NaN NaN NaN NaN NaN NaN -5.618 2.669 1925 2 NaN NaN NaN NaN NaN NaN -0.211 4.427 1925 3 NaN NaN NaN NaN NaN NaN -1.283 1.145 1925 4 NaN NaN NaN NaN NaN NaN 4.515 1.534 1925 5 NaN NaN NaN NaN NaN NaN 9.993 1.596 1925 6 NaN NaN NaN NaN NaN NaN 11.650 -1.122 1925 7 NaN NaN NaN NaN NaN NaN 18.310 1.234 1925 8 NaN NaN NaN NaN NaN NaN 15.317 -0.756 1925 9 NaN NaN NaN NaN NaN NaN 9.488 -1.349 1925 10 NaN NaN NaN NaN NaN NaN 1.175 -4.111 1925 11 NaN NaN NaN NaN NaN NaN -2.198 -0.197 1925 12 NaN NaN NaN NaN NaN NaN -2.404 3.603 1926 1 NaN NaN NaN NaN NaN NaN -6.795 1.492 1926 2 NaN NaN NaN NaN NaN NaN -1.064 3.574 1926 3 NaN NaN NaN NaN NaN NaN -1.555 0.874 1926 4 NaN NaN NaN NaN NaN NaN 5.022 2.041 1926 5 NaN NaN NaN NaN NaN NaN 9.132 0.735 1926 6 NaN NaN NaN NaN NaN NaN 12.869 0.097 1926 7 NaN NaN NaN NaN NaN NaN 17.985 0.909 1926 8 NaN NaN NaN NaN NaN NaN 15.504 -0.569 1926 9 NaN NaN NaN NaN NaN NaN 6.107 -4.730 1926 10 NaN NaN NaN NaN NaN NaN 6.960 1.673 1926 11 NaN NaN NaN NaN NaN NaN -0.661 1.340 1926 12 NaN NaN NaN NaN NaN NaN -6.651 -0.643 1927 1 NaN NaN NaN NaN NaN NaN -8.332 -0.045 1927 2 NaN NaN NaN NaN NaN NaN -3.989 0.649 1927 3 NaN NaN NaN NaN NaN NaN -2.483 -0.055 1927 4 NaN NaN NaN NaN NaN NaN 1.683 -1.299 1927 5 NaN NaN NaN NaN NaN NaN 5.461 -2.936 1927 6 NaN NaN NaN NaN NaN NaN 12.463 -0.310 1927 7 NaN NaN NaN NaN NaN NaN 17.004 -0.072 1927 8 NaN NaN NaN NaN NaN NaN 14.153 -1.921 1927 9 11.737 -1.133 0 0 11.506 -1.364 9.612 -1.225 1927 10 8.389 1.069 0 0 8.235 0.916 7.298 2.011 1927 11 1.274 1.242 0 0 1.128 1.096 -0.823 1.178 1927 12 NaN NaN NaN NaN NaN NaN -11.743 -5.736 1928 1 -5.315 0.939 0 0 -5.353 0.900 -7.260 1.026 1928 2 -6.916 -4.311 0 0 -6.923 -4.318 -6.260 -1.623 1928 3 0.931 1.326 0 0 0.853 1.248 -1.479 0.949 1928 4 4.513 -0.501 0 0 4.365 -0.650 1.537 -1.445 1928 5 13.508 3.078 0 0 13.343 2.913 11.355 2.958 1928 6 12.077 -2.729 0 0 11.872 -2.934 9.967 -2.806 1928 7 18.882 -0.227 0 0 18.589 -0.519 17.012 -0.064 1928 8 16.653 -1.453 0 0 16.338 -1.769 14.604 -1.470 1928 9 13.162 0.291 0 0 12.931 0.061 10.544 -0.294 1928 10 6.019 -1.300 0 0 5.866 -1.453 4.976 -0.310 1928 11 0.762 0.730 0 0 0.616 0.584 -1.750 0.251 1928 12 -4.284 -0.309 0 0 -4.404 -0.430 -6.872 -0.865 1929 1 -11.766 -5.513 0 0 -11.805 -5.552 -13.862 -5.576 1929 2 -9.770 -7.165 0 0 -9.777 -7.172 -9.465 -4.827 1929 3 0.827 1.223 0 0 0.750 1.145 -2.371 0.057 1929 4 3.477 -1.538 0 0 3.328 -1.686 0.700 -2.281 1929 5 9.600 -0.830 0 0 9.435 -0.995 7.382 -1.015 1929 6 14.532 -0.274 0 0 14.327 -0.479 11.600 -1.173 1929 7 20.445 1.337 0 0 20.152 1.044 17.932 0.856 1929 8 21.360 3.253 0 0 21.044 2.937 18.613 2.539 1929 9 9.838 -3.032 0 0 9.607 -3.263 7.605 -3.232 1929 10 8.219 0.900 0 0 8.066 0.747 6.432 1.146 1929 11 -1.528 -1.560 0 0 -1.674 -1.706 -3.655 -1.654 1929 12 -2.597 1.378 0 0 -2.717 1.257 -3.707 2.301 1930 1 -17.118 -10.865 0 0 -17.157 -10.904 -17.671 -9.384 1930 2 0.835 3.440 1 0 NaN NaN -0.327 4.310 1930 3 -1.250 -0.855 0 0 -1.328 -0.933 -4.080 -1.652 1930 4 9.685 4.671 0 0 9.536 4.522 6.979 3.997 1930 5 10.252 -0.178 1 0 NaN NaN 8.777 0.380 1930 6 14.671 -0.135 0 0 14.466 -0.340 12.332 -0.441 1930 7 20.405 1.296 0 0 20.112 1.003 18.169 1.093 1930 8 20.787 2.680 0 0 20.471 2.365 17.254 1.180 1930 9 13.683 0.813 0 0 13.452 0.582 10.955 0.118 1930 10 4.881 -2.439 0 0 4.727 -2.592 3.676 -1.610 1930 11 0.662 0.630 0 0 0.516 0.484 -2.653 -0.652 1930 12 -2.921 1.054 0 0 -3.041 0.933 -6.038 -0.030 1931 1 -1.222 5.031 0 0 -1.261 4.992 -4.927 3.359 1931 2 -1.111 1.494 0 0 -1.119 1.486 -2.333 2.305 1931 3 0.889 1.284 0 0 0.811 1.207 -2.204 0.225 1931 4 6.333 1.319 0 0 6.185 1.170 3.462 0.481 1931 5 11.889 1.459 0 0 11.724 1.294 9.394 0.997 1931 6 16.667 1.861 0 0 16.462 1.656 14.231 1.459 1931 7 NaN NaN NaN NaN NaN NaN 18.406 1.330 1931 8 NaN NaN NaN NaN NaN NaN 17.379 1.305 1931 9 NaN NaN NaN NaN NaN NaN 10.760 -0.077 1931 10 NaN NaN NaN NaN NaN NaN 6.245 0.959 1931 11 -2.889 -2.921 0 0 -3.035 -3.067 -4.592 -2.590 1931 12 -5.000 -1.025 0 0 -5.120 -1.146 -6.333 -0.326 1932 1 -7.000 -0.747 0 0 -7.039 -0.786 -10.242 -1.956 1932 2 -2.222 0.383 0 0 -2.230 0.375 -4.005 0.633 1932 3 -4.778 -4.382 0 0 -4.855 -4.460 -6.465 -4.036 1932 4 6.111 1.097 0 0 5.962 0.948 3.379 0.398 1932 5 12.000 1.570 0 0 11.835 1.405 9.290 0.893 1932 6 15.944 1.139 0 0 15.739 0.934 12.785 0.013 1932 7 20.000 0.891 0 0 19.707 0.598 17.378 0.303 1932 8 18.722 0.616 0 0 18.407 0.300 16.028 -0.046 1932 9 13.889 1.019 0 0 13.658 0.788 10.680 -0.158 1932 10 6.111 -1.208 0 0 5.958 -1.362 4.390 -0.896 1932 11 3.833 3.801 0 0 3.687 3.655 0.859 2.860 1932 12 -9.111 -5.137 0 0 -9.232 -5.257 -11.127 -5.119 1933 1 -5.111 1.142 0 0 -5.150 1.103 -7.110 1.176 1933 2 -8.111 -5.506 0 0 -8.119 -5.514 -9.718 -5.080 1933 3 1.667 2.062 0 0 1.589 1.984 -1.692 0.737 1933 4 4.444 -0.570 0 0 4.296 -0.719 1.897 -1.084 1933 5 8.667 -1.763 0 0 8.502 -1.928 6.660 -1.737 1933 6 17.944 3.139 0 0 17.739 2.934 15.250 2.478 1933 7 21.278 2.169 0 0 20.985 1.876 19.226 2.150 1933 8 17.778 -0.329 0 0 17.462 -0.645 15.371 -0.703 1933 9 12.444 -0.426 0 0 12.214 -0.657 10.158 -0.679 1933 10 8.556 1.236 0 0 8.402 1.083 8.022 2.735 1933 11 2.778 2.746 0 0 2.632 2.600 0.689 2.690 1933 12 -0.111 3.863 0 0 -0.232 3.743 -2.017 3.990 1934 1 0.556 6.809 0 0 0.517 6.770 -2.500 5.787 1934 2 0.111 2.716 0 0 0.103 2.708 -0.456 4.182 1934 3 3.556 3.951 0 0 3.478 3.873 1.337 3.765 1934 4 9.444 4.430 0 0 9.296 4.281 6.989 4.007 1934 5 NaN NaN NaN NaN NaN NaN 12.793 4.396 1934 6 16.278 1.472 0 0 16.073 1.267 12.163 -0.609 1934 7 20.500 1.391 0 0 20.207 1.098 18.347 1.271 1934 8 20.778 2.671 0 0 20.462 2.355 17.525 1.451 1934 9 11.778 -1.092 0 0 11.547 -1.323 8.687 -2.151 1934 10 9.667 2.347 0 0 9.513 2.194 8.000 2.714 1934 11 4.111 4.079 0 0 3.965 3.933 1.414 3.415 1934 12 -3.889 0.086 0 0 -4.009 -0.035 -5.561 0.447 1935 1 -5.556 0.698 0 0 -5.595 0.659 -7.385 0.901 1935 2 -0.556 2.049 0 0 -0.563 2.042 -2.162 2.475 1935 3 -1.333 -0.938 0 0 -1.411 -1.016 -3.968 -1.540 1935 4 3.222 -1.792 0 0 3.074 -1.941 0.768 -2.214 1935 5 8.889 -1.541 0 0 8.724 -1.706 6.668 -1.729 1935 6 14.667 -0.139 0 0 14.462 -0.344 11.780 -0.992 1935 7 20.944 1.836 0 0 20.652 1.543 17.867 0.791 1935 8 19.111 1.004 0 0 18.795 0.689 16.128 0.054 1935 9 14.944 2.074 0 0 14.714 1.843 11.849 1.011 1935 10 6.444 -0.875 0 0 6.291 -1.028 5.118 -0.168 1935 11 -2.333 -2.365 0 0 -2.479 -2.511 -4.835 -2.834 1935 12 -2.667 1.308 0 0 -2.787 1.187 -5.175 0.832 1936 1 -5.111 1.142 0 0 -5.150 1.103 -7.902 0.385 1936 2 -16.333 -13.728 0 0 -16.341 -13.736 -13.473 -8.835 1936 3 0.444 0.840 0 0 0.367 0.762 -3.128 -0.700 1936 4 6.111 1.097 0 0 5.962 0.948 3.708 0.727 1936 5 14.444 4.014 0 0 14.280 3.850 11.952 3.555 1936 6 16.222 1.417 0 0 16.017 1.212 13.955 1.182 1936 7 23.000 3.891 0 0 22.707 3.598 20.624 3.548 1936 8 19.667 1.560 0 0 19.351 1.244 16.753 0.679 1936 9 13.389 0.519 0 0 13.158 0.288 10.395 -0.442 1936 10 8.056 0.736 0 0 7.902 0.583 6.704 1.418 1936 11 -0.889 -0.921 0 0 -1.035 -1.067 -2.755 -0.754 1936 12 -4.000 -0.025 0 0 -4.120 -0.146 -5.154 0.853 1937 1 -18.111 -11.858 0 0 -18.150 -11.897 -18.785 -10.499 1937 2 -5.556 -2.951 0 0 -5.563 -2.958 -6.008 -1.370 1937 3 -1.778 -1.382 0 0 -1.855 -1.460 -3.316 -0.888 1937 4 4.111 -0.903 0 0 3.962 -1.052 2.495 -0.486 1937 5 11.222 0.792 0 0 11.057 0.627 10.035 1.638 1937 6 15.667 0.861 0 0 15.462 0.656 11.827 -0.946 1937 7 20.500 1.391 0 0 20.207 1.098 18.407 1.331 1937 8 18.833 0.727 0 0 18.518 0.411 16.390 0.317 1937 9 14.333 1.463 0 0 14.102 1.232 11.927 1.090 1937 10 9.611 2.292 0 0 9.458 2.138 7.921 2.635 1937 11 1.000 0.968 0 0 0.854 0.822 -1.026 0.975 1937 12 -3.778 0.197 0 0 -3.898 0.076 -5.046 0.962 1938 1 -3.500 2.753 0 0 -3.539 2.714 -6.344 1.942 1938 2 -4.500 -1.895 0 0 -4.508 -1.903 -4.654 -0.016 1938 3 0.111 0.506 0 0 0.034 0.429 -2.875 -0.447 1938 4 5.889 0.875 0 0 5.740 0.726 3.387 0.406 1938 5 9.222 -1.208 0 0 9.057 -1.373 7.409 -0.988 1938 6 16.167 1.361 0 0 15.962 1.156 12.880 0.107 1938 7 18.667 -0.442 0 0 18.374 -0.735 16.950 -0.126 1938 8 17.889 -0.218 0 0 17.573 -0.533 15.841 -0.233 1938 9 17.000 4.130 0 0 16.769 3.899 14.105 3.268 1938 10 6.389 -0.930 0 0 6.235 -1.084 5.895 0.609 1938 11 -1.889 -1.921 0 0 -2.035 -2.067 -4.647 -2.646 1938 12 -2.222 1.752 0 0 -2.343 1.632 -4.195 1.812 1939 1 -2.000 4.253 0 0 -2.039 4.214 -4.600 3.687 1939 2 -8.111 -5.506 0 0 -8.119 -5.514 -8.749 -4.111 1939 3 1.500 1.895 0 0 1.422 1.818 -1.818 0.611 1939 4 6.889 1.875 0 0 6.740 1.726 5.122 2.140 1939 5 12.500 2.070 0 0 12.335 1.905 10.445 2.048 1939 6 12.000 -2.805 0 0 11.795 -3.011 10.057 -2.715 1939 7 20.222 1.113 0 0 19.929 0.821 18.069 0.993 1939 8 18.889 0.782 0 0 18.573 0.467 16.406 0.332 1939 9 13.778 0.908 0 0 13.547 0.677 11.428 0.591 1939 10 7.778 0.458 0 0 7.624 0.305 6.417 1.130 1939 11 4.278 4.246 0 0 4.132 4.100 1.420 3.421 1939 12 1.333 5.308 0 0 1.213 5.187 -1.336 4.671 1940 1 -10.278 -4.024 0 0 -10.317 -4.063 -11.042 -2.755 1940 2 -3.000 -0.395 0 0 -3.008 -0.403 -3.646 0.992 1940 3 4.000 4.395 0 4 4.245 4.640 0.175 2.603 1940 4 5.389 0.375 0 0 5.858 0.844 3.340 0.359 1940 5 12.556 2.126 0 0 13.076 2.646 10.960 2.563 1940 6 16.722 1.917 0 0 17.369 2.564 14.242 1.469 1940 7 20.111 1.002 0 0 21.035 1.926 18.731 1.655 1940 8 20.000 1.893 0 0 20.996 2.889 17.808 1.735 1940 9 14.222 1.352 0 0 14.951 2.080 12.497 1.660 1940 10 8.889 1.570 0 0 9.373 2.054 8.096 2.810 1940 11 NaN NaN NaN NaN NaN NaN -5.346 -3.345 1940 12 NaN NaN NaN NaN NaN NaN -3.769 2.238 1941 1 -3.278 2.976 0 0 -3.155 3.099 -5.918 2.368 1941 2 -2.444 0.160 0 0 -2.420 0.184 -2.610 2.028 1941 3 1.333 1.729 0 0 1.578 1.973 -0.643 1.786 1941 4 4.667 -0.348 0 0 5.136 0.122 3.255 0.274 1941 5 10.556 0.126 0 0 11.076 0.646 9.723 1.326 1941 6 13.944 -0.861 0 0 14.592 -0.214 12.506 -0.266 1941 7 18.611 -0.498 0 0 19.535 0.426 17.798 0.722 1941 8 17.667 -0.440 0 0 18.663 0.556 16.349 0.275 1941 9 8.389 -4.481 0 0 9.117 -3.753 7.482 -3.356 1941 10 NaN NaN NaN NaN NaN NaN 4.887 -0.399 1941 11 0.722 0.690 0 0 1.183 1.151 -0.484 1.517 1941 12 -3.778 0.197 0 0 -3.398 0.577 -5.603 0.405 1942 1 -8.889 -2.636 0 0 -8.766 -2.513 -10.425 -2.138 1942 2 -6.889 -4.284 0 0 -6.865 -4.260 -8.738 -4.101 1942 3 -1.722 -1.327 0 0 -1.478 -1.082 -4.102 -1.673 1942 4 NaN NaN NaN NaN NaN NaN 4.484 1.502 1942 5 NaN NaN NaN NaN NaN NaN 6.298 -2.099 1942 6 NaN NaN NaN NaN NaN NaN 9.910 -2.863 1942 7 NaN NaN NaN NaN NaN NaN 17.603 0.527 1942 8 17.889 -0.218 0 0 18.885 0.778 16.389 0.316 1942 9 12.000 -0.870 0 0 12.728 -0.142 10.833 -0.004 1942 10 7.000 -0.319 0 0 7.484 0.165 6.499 1.212 1942 11 -0.778 -0.810 0 0 -0.317 -0.349 -2.249 -0.248 1942 12 -2.667 1.308 0 0 -2.287 1.688 -3.933 2.075 1943 1 -11.556 -5.302 0 0 -11.433 -5.179 -11.797 -3.511 1943 2 -2.667 -0.062 0 0 -2.643 -0.038 -3.512 1.125 1943 3 -5.778 -5.382 0 0 -5.533 -5.138 -7.269 -4.841 1943 4 7.556 2.541 0 0 8.025 3.010 5.957 2.975 1943 5 8.056 -2.374 0 0 8.576 -1.854 6.537 -1.859 1943 6 12.333 -2.472 0 0 12.980 -1.825 10.386 -2.386 1943 7 20.111 1.002 0 0 21.035 1.926 17.226 0.151 1943 8 19.000 0.893 0 0 19.996 1.889 16.342 0.269 1943 9 14.167 1.296 0 0 14.895 2.025 11.580 0.743 1943 10 10.333 3.014 0 0 10.817 3.498 7.507 2.221 1943 11 NaN NaN NaN NaN NaN NaN -0.665 1.336 1943 12 NaN NaN NaN NaN NaN NaN -5.516 0.491 1944 1 NaN NaN NaN NaN NaN NaN -6.925 1.361 1944 2 NaN NaN NaN NaN NaN NaN -4.624 0.013 1944 3 NaN NaN NaN NaN NaN NaN -5.113 -2.685 1944 4 5.889 0.875 0 0 6.358 1.344 3.812 0.830 1944 5 10.778 0.348 0 0 11.298 0.868 9.497 1.100 1944 6 11.667 -3.139 0 0 12.314 -2.492 10.386 -2.386 1944 7 15.333 -3.775 0 0 16.258 -2.851 15.744 -1.332 1944 8 15.000 -3.107 0 0 15.996 -2.111 14.714 -1.360 1944 9 12.778 -0.092 0 0 13.506 0.636 10.956 0.119 1944 10 9.889 2.570 0 0 10.373 3.054 8.585 3.298 1944 11 -0.722 -0.754 0 0 -0.262 -0.294 -2.596 -0.595 1944 12 NaN NaN NaN NaN NaN NaN -7.760 -1.753 1945 1 NaN NaN NaN NaN NaN NaN -5.249 3.037 1945 2 NaN NaN NaN NaN NaN NaN -2.892 1.746 1945 3 NaN NaN NaN NaN NaN NaN -2.163 0.265 1945 4 NaN NaN NaN NaN NaN NaN 0.630 -2.351 1945 5 NaN NaN NaN NaN NaN NaN 7.752 -0.645 1945 6 NaN NaN NaN NaN NaN NaN 9.720 -3.052 1945 7 NaN NaN NaN NaN NaN NaN 17.535 0.460 1945 8 NaN NaN NaN NaN NaN NaN 16.584 0.510 1945 9 NaN NaN NaN NaN NaN NaN 9.218 -1.620 1945 10 NaN NaN NaN NaN NaN NaN 8.075 2.788 1945 11 NaN NaN NaN NaN NaN NaN -2.405 -0.404