% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35587 % Primary Name: KEOKUK NO 2 % Record Type: TAVG % Country: United States % State: IA % Latitude: 40.38333 +/- 0.00833 % Longitude: -91.41246 +/- 0.02921 % Elevation (m): 198.40 +/- 0.05 % # of Months: 115 % % Alternate Names: KEOKUK #2 % Missing Station ID - 134372 % % IDs: coop - 134372 % ghcnd - USC00134372 % ncdc - 20006612 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4e5cd8d3dc24f55d0595e3f4ca061e72 % Raw Data Hash: f70c81c8612674e6940414aab3b5957c % Adj Data Hash: 6c8a4b16cbea378c1bd4a5281675e2d1 % % 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 1928 4 NaN NaN NaN NaN NaN NaN 8.344 -2.538 1928 5 NaN NaN NaN NaN NaN NaN 17.277 0.266 1928 6 NaN NaN NaN NaN NaN NaN 18.882 -3.182 1928 7 NaN NaN NaN NaN NaN NaN 23.885 -0.475 1928 8 NaN NaN NaN NaN NaN NaN 23.187 0.028 1928 9 NaN NaN NaN NaN NaN NaN 16.087 -2.652 1928 10 NaN NaN NaN NaN NaN NaN 13.907 1.476 1928 11 NaN NaN NaN NaN NaN NaN 5.105 0.658 1928 12 NaN NaN NaN NaN NaN NaN -0.776 1.649 1929 1 NaN NaN NaN NaN NaN NaN -10.685 -4.601 1929 2 NaN NaN NaN NaN NaN NaN -8.093 -5.282 1929 3 NaN NaN NaN NaN NaN NaN 5.622 2.667 1929 4 12.646 0.356 0 0 12.646 0.356 11.726 0.845 1929 5 15.661 -2.758 0 0 15.661 -2.758 15.012 -1.999 1929 6 21.377 -2.096 0 0 21.377 -2.096 20.370 -1.694 1929 7 24.952 -0.817 0 0 24.952 -0.817 23.715 -0.645 1929 8 23.053 -1.514 0 0 23.053 -1.514 21.870 -1.289 1929 9 19.053 -1.093 0 0 19.053 -1.093 17.794 -0.944 1929 10 13.255 -0.584 0 0 13.255 -0.584 12.014 -0.417 1929 11 3.008 -2.846 0 0 3.008 -2.846 1.732 -2.714 1929 12 -1.274 -0.257 0 0 -1.274 -0.257 -2.530 -0.104 1930 1 -8.478 -3.802 0 0 -8.478 -3.802 -11.259 -5.174 1930 2 NaN NaN NaN NaN NaN NaN 2.890 5.701 1930 3 4.895 0.532 0 0 4.895 0.532 3.074 0.119 1930 4 13.913 1.623 0 0 13.913 1.623 12.331 1.450 1930 5 18.514 0.095 0 0 18.514 0.095 16.858 -0.153 1930 6 22.552 -0.921 0 0 22.552 -0.921 21.351 -0.713 1930 7 27.237 1.468 0 0 27.237 1.468 25.687 1.327 1930 8 26.047 1.480 0 0 26.047 1.480 23.985 0.826 1930 9 21.927 1.780 0 0 21.927 1.780 20.217 1.479 1930 10 12.502 -1.337 0 0 12.502 -1.337 11.399 -1.032 1930 11 6.790 0.936 0 0 6.790 0.936 5.904 1.457 1930 12 -0.315 0.703 0 0 -0.315 0.703 -2.034 0.391 1931 1 0.667 5.343 0 0 0.667 5.343 -1.693 4.391 1931 2 3.444 4.848 0 0 3.444 4.848 2.129 4.940 1931 3 2.667 -1.697 0 0 2.667 -1.697 1.226 -1.729 1931 4 11.444 -0.846 0 0 11.444 -0.846 10.850 -0.032 1931 5 15.111 -3.308 0 0 15.111 -3.308 14.283 -2.728 1931 6 24.333 0.861 0 0 24.333 0.861 23.738 1.674 1931 7 NaN NaN NaN NaN NaN NaN 25.644 1.283 1931 8 NaN NaN NaN NaN NaN NaN 22.523 -0.635 1931 9 NaN NaN NaN NaN NaN NaN 22.049 3.311 1931 10 NaN NaN NaN NaN NaN NaN 15.076 2.645 1931 11 9.944 4.090 0 0 9.944 4.090 8.984 4.538 1931 12 3.611 4.628 0 0 3.611 4.628 2.462 4.888 1932 1 0.278 4.954 0 0 0.278 4.954 -2.275 3.809 1932 2 3.056 4.459 0 0 3.056 4.459 0.941 3.753 1932 3 0.722 -3.641 0 0 0.722 -3.641 -1.375 -4.330 1932 4 11.778 -0.512 0 0 11.778 -0.512 10.778 -0.103 1932 5 18.333 -0.086 0 0 18.333 -0.086 17.427 0.416 1932 6 23.222 -0.250 0 0 23.222 -0.250 22.705 0.641 1932 7 25.333 -0.435 0 0 25.333 -0.435 24.498 0.138 1932 8 23.278 -1.289 0 0 23.278 -1.289 22.465 -0.694 1932 9 18.778 -1.369 0 0 18.778 -1.369 17.461 -1.277 1932 10 12.167 -1.672 0 0 12.167 -1.672 11.224 -1.207 1932 11 2.500 -3.354 0 0 2.500 -3.354 1.877 -2.570 1932 12 -2.556 -1.538 0 0 -2.556 -1.538 -3.639 -1.214 1933 1 3.222 7.898 0 0 3.222 7.898 1.107 7.191 1933 2 -2.778 -1.375 0 0 -2.778 -1.375 -3.985 -1.173 1933 3 4.667 0.303 0 0 4.667 0.303 2.906 -0.049 1933 4 11.111 -1.179 0 0 11.111 -1.179 10.312 -0.570 1933 5 17.444 -0.975 0 0 17.444 -0.975 16.610 -0.401 1933 6 26.222 2.750 0 0 26.222 2.750 25.582 3.518 1933 7 25.333 -0.435 0 0 25.333 -0.435 24.660 0.300 1933 8 23.389 -1.178 0 0 23.389 -1.178 21.920 -1.238 1933 9 23.667 3.520 0 0 23.667 3.520 21.710 2.972 1933 10 12.778 -1.061 0 0 12.778 -1.061 11.189 -1.241 1933 11 6.111 0.257 0 0 6.111 0.257 4.291 -0.155 1933 12 1.556 2.573 0 0 1.556 2.573 -0.646 1.780 1934 1 1.167 5.843 0 0 1.167 5.843 -1.691 4.393 1934 2 -2.000 -0.597 0 0 -2.000 -0.597 -3.958 -1.146 1934 3 3.222 -1.141 0 0 3.222 -1.141 1.265 -1.690 1934 4 12.889 0.599 0 0 12.889 0.599 11.302 0.420 1934 5 21.333 2.914 0 0 21.333 2.914 20.343 3.332 1934 6 27.667 4.194 0 0 27.667 4.194 26.260 4.196 1934 7 30.111 4.342 0 0 30.111 4.342 27.740 3.380 1934 8 26.333 1.766 0 0 26.333 1.766 23.878 0.719 1934 9 18.667 -1.480 0 0 18.667 -1.480 17.083 -1.656 1934 10 15.333 1.494 0 0 15.333 1.494 14.264 1.833 1934 11 8.167 2.312 0 0 8.167 2.312 6.976 2.530 1934 12 -2.556 -1.538 0 0 -2.556 -1.538 -4.339 -1.913 1935 1 -2.611 2.065 0 0 -2.611 2.065 -5.238 0.846 1935 2 0.778 2.181 0 0 0.778 2.181 -0.982 1.829 1935 3 7.889 3.526 0 0 7.889 3.526 5.520 2.565 1935 4 9.667 -2.623 0 0 9.667 -2.623 9.154 -1.728 1935 5 14.111 -4.308 0 0 14.111 -4.308 13.329 -3.682 1935 6 20.500 -2.972 0 0 20.500 -2.972 19.698 -2.366 1935 7 26.722 0.954 0 0 26.722 0.954 26.252 1.891 1935 8 24.444 -0.123 0 0 24.444 -0.123 23.416 0.258 1935 9 20.000 -0.147 0 0 20.000 -0.147 18.586 -0.152 1935 10 12.889 -0.950 0 0 12.889 -0.950 12.188 -0.243 1935 11 4.000 -1.854 0 0 4.000 -1.854 2.853 -1.594 1935 12 -4.111 -3.094 0 0 -4.111 -3.094 -5.058 -2.632 1936 1 -8.222 -3.546 0 0 -8.222 -3.546 -10.953 -4.869 1936 2 -9.056 -7.652 0 0 -9.056 -7.652 -11.462 -8.650 1936 3 6.889 2.526 0 0 6.889 2.526 4.864 1.908 1936 4 9.889 -2.401 0 0 9.889 -2.401 8.770 -2.112 1936 5 20.056 1.636 0 0 20.056 1.636 19.523 2.512 1936 6 23.333 -0.139 0 0 23.333 -0.139 22.330 0.266 1936 7 30.444 4.676 0 0 30.444 4.676 28.962 4.602 1936 8 29.000 4.433 0 0 29.000 4.433 26.951 3.793 1936 9 22.222 2.076 0 0 22.222 2.076 20.737 1.999 1936 10 13.556 -0.283 0 0 13.556 -0.283 12.299 -0.131 1936 11 4.222 -1.632 0 0 4.222 -1.632 3.413 -1.033 1936 12 1.667 2.684 0 0 1.667 2.684 0.132 2.557 1937 1 -5.278 -0.602 0 0 -5.278 -0.602 -7.719 -1.635 1937 2 -2.389 -0.986 0 0 -2.389 -0.986 -4.673 -1.862 1937 3 3.444 -0.919 0 0 3.444 -0.919 1.119 -1.836 1937 4 11.000 -1.290 0 0 11.000 -1.290 10.032 -0.850 1937 5 18.389 -0.031 0 0 18.389 -0.031 17.147 0.135 1937 6 22.611 -0.861 0 0 22.611 -0.861 21.492 -0.572 1937 7 25.222 -0.546 0 0 25.222 -0.546 24.391 0.030 1937 8 25.389 0.822 0 0 25.389 0.822 25.220 2.061 1937 9 19.778 -0.369 0 0 19.778 -0.369 18.806 0.067 1937 10 12.111 -1.728 0 0 12.111 -1.728 11.577 -0.854 1937 11 3.167 -2.688 0 0 3.167 -2.688 2.226 -2.221 1937 12 -3.111 -2.094 0 0 -3.111 -2.094 -3.823 -1.398 1938 1 -2.389 2.287 0 0 -2.389 2.287 -5.229 0.855 1938 2 2.889 4.292 0 0 2.889 4.292 1.136 3.947 1938 3 10.000 5.637 0 0 10.000 5.637 7.675 4.720 1938 4 12.167 -0.123 0 0 12.167 -0.123 11.313 0.431 1938 5 17.444 -0.975 0 0 17.444 -0.975 16.368 -0.643 1938 6 21.722 -1.750 0 0 21.722 -1.750 20.979 -1.085 1938 7 25.778 0.009 0 0 25.778 0.009 25.138 0.778 1938 8 26.556 1.989 0 0 26.556 1.989 24.727 1.568 1938 9 21.111 0.965 0 0 21.111 0.965 19.805 1.067 1938 10 17.333 3.494 0 0 17.333 3.494 16.116 3.686 1938 11 6.722 0.868 0 0 6.722 0.868 5.446 1.000 1938 12 -0.556 0.462 0 0 -0.556 0.462 -1.916 0.509 1939 1 1.556 6.231 0 0 1.556 6.231 -1.036 5.048 1939 2 -1.778 -0.375 0 0 -1.778 -0.375 -3.712 -0.901 1939 3 6.056 1.692 0 0 6.056 1.692 3.804 0.849 1939 4 NaN NaN NaN NaN NaN NaN 9.452 -1.430 1939 5 NaN NaN NaN NaN NaN NaN 18.905 1.894 1939 6 NaN NaN NaN NaN NaN NaN 22.630 0.566 1939 7 NaN NaN NaN NaN NaN NaN 24.724 0.364 1939 8 NaN NaN NaN NaN NaN NaN 21.952 -1.207 1939 9 NaN NaN NaN NaN NaN NaN 21.087 2.348 1939 10 NaN NaN NaN NaN NaN NaN 13.680 1.249 1939 11 NaN NaN NaN NaN NaN NaN 5.013 0.567 1939 12 NaN NaN NaN NaN NaN NaN 1.095 3.521 1940 1 NaN NaN NaN NaN NaN NaN -13.039 -6.955 1940 2 NaN NaN NaN NaN NaN NaN -2.968 -0.156 1940 3 NaN NaN NaN NaN NaN NaN 0.664 -2.291