% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39028 % Primary Name: CROSWELL % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.26670 +/- 0.00005 % Longitude: -82.60000 +/- 0.00005 % Elevation (m): 222.81 +/- 0.15 % # of Months: 93 % % Alternate Names: Missing Station ID - 201901 % % IDs: coop - 201901 % ghcnd - USC00201901 % ncdc - 30015099 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b0f7cb5f6a8694f2ae9284b0002b2817 % Raw Data Hash: fec828f958bd8eb05e06147b778ec2bf % Adj Data Hash: b19b553ecda23051e10b7d494f378173 % % 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 1930 5 NaN NaN NaN NaN NaN NaN 14.739 0.639 1930 6 NaN NaN NaN NaN NaN NaN 20.365 0.670 1930 7 NaN NaN NaN NaN NaN NaN 22.460 0.254 1930 8 NaN NaN NaN NaN NaN NaN 21.432 0.138 1930 9 NaN NaN NaN NaN NaN NaN 18.446 1.178 1930 10 NaN NaN NaN NaN NaN NaN 9.639 -1.173 1930 11 NaN NaN NaN NaN NaN NaN 4.988 0.923 1930 12 NaN NaN NaN NaN NaN NaN -3.003 -0.568 1931 1 NaN NaN NaN NaN NaN NaN -3.653 1.740 1931 2 NaN NaN NaN NaN NaN NaN -1.117 3.072 1931 3 NaN NaN NaN NaN NaN NaN 0.172 -0.802 1931 4 NaN NaN NaN NaN NaN NaN 8.194 0.389 1931 5 13.435 0.263 1 0 NaN NaN 13.150 -0.950 1931 6 18.221 -0.546 0 0 18.221 -0.546 19.898 0.203 1931 7 22.328 1.050 0 0 22.328 1.050 24.175 1.970 1931 8 19.958 -0.408 0 0 19.958 -0.408 21.804 0.510 1931 9 19.578 3.237 0 0 19.578 3.237 20.252 2.984 1931 10 12.418 2.534 0 0 12.418 2.534 13.147 2.335 1931 11 7.685 4.547 0 0 7.685 4.547 8.419 4.353 1931 12 1.387 4.749 0 0 1.387 4.749 1.485 3.919 1932 1 1.573 7.894 0 0 1.573 7.894 1.304 6.698 1932 2 -1.026 4.091 0 0 -1.026 4.091 -0.745 3.445 1932 3 -2.129 -2.176 0 0 -2.129 -2.176 -1.861 -2.835 1932 4 4.850 -2.028 0 0 4.850 -2.028 6.183 -1.623 1932 5 13.128 -0.044 0 0 13.128 -0.044 14.255 0.155 1932 6 18.378 -0.389 0 0 18.378 -0.389 20.220 0.526 1932 7 20.390 -0.887 0 0 20.390 -0.887 21.865 -0.340 1932 8 20.102 -0.265 0 0 20.102 -0.265 21.687 0.394 1932 9 15.597 -0.744 0 0 15.597 -0.744 17.147 -0.121 1932 10 11.126 1.242 0 0 11.126 1.242 11.253 0.441 1932 11 2.549 -0.589 0 0 2.549 -0.589 2.310 -1.755 1932 12 -2.628 0.734 0 0 -2.628 0.734 -2.516 -0.081 1933 1 -0.217 6.104 0 0 -0.217 6.104 0.088 5.481 1933 2 -3.923 1.194 1 0 NaN NaN -3.623 0.566 1933 3 -0.539 -0.586 0 0 -0.539 -0.586 0.453 -0.522 1933 4 6.904 0.026 0 0 6.904 0.026 8.078 0.273 1933 5 13.753 0.581 0 0 13.753 0.581 14.663 0.563 1933 6 20.920 2.153 0 0 20.920 2.153 22.584 2.889 1933 7 21.613 0.335 1 0 NaN NaN 23.357 1.152 1933 8 19.677 -0.689 0 0 19.677 -0.689 21.116 -0.178 1933 9 17.865 1.524 0 0 17.865 1.524 19.553 2.284 1933 10 10.540 0.656 0 0 10.540 0.656 10.184 -0.628 1933 11 0.598 -2.540 0 0 0.598 -2.540 1.702 -2.364 1933 12 -2.159 1.203 0 0 -2.159 1.203 -3.031 -0.596 1934 1 -3.926 2.395 0 0 -3.926 2.395 -2.432 2.962 1934 2 -11.254 -6.137 0 0 -11.254 -6.137 -10.387 -6.197 1934 3 -1.988 -2.035 0 0 -1.988 -2.035 -1.679 -2.653 1934 4 5.576 -1.302 0 0 5.576 -1.302 6.529 -1.276 1934 5 14.627 1.455 0 0 14.627 1.455 15.676 1.577 1934 6 20.028 1.261 0 0 20.028 1.261 22.377 2.683 1934 7 21.138 -0.139 0 0 21.138 -0.139 23.718 1.512 1934 8 18.381 -1.986 0 0 18.381 -1.986 20.265 -1.029 1934 9 18.013 1.672 0 0 18.013 1.672 18.752 1.484 1934 10 10.202 0.318 0 0 10.202 0.318 10.906 0.095 1934 11 5.512 2.374 0 0 5.512 2.374 6.234 2.168 1934 12 -3.853 -0.491 0 0 -3.853 -0.491 -4.159 -1.725 1935 1 -5.566 0.755 0 0 -5.566 0.755 -5.341 0.053 1935 2 -4.683 0.434 1 0 NaN NaN -4.789 -0.599 1935 3 4.363 4.316 0 0 4.363 4.316 3.606 2.631 1935 4 NaN NaN NaN NaN NaN NaN 6.542 -1.263 1935 5 9.220 -3.952 0 0 9.220 -3.952 10.608 -3.491 1935 6 16.439 -2.328 1 0 NaN NaN 17.976 -1.719 1935 7 23.059 1.781 0 0 23.059 1.781 24.126 1.921 1935 8 20.611 0.245 0 0 20.611 0.245 21.646 0.352 1935 9 15.207 -1.134 0 0 15.207 -1.134 16.321 -0.948 1935 10 9.405 -0.479 0 0 9.405 -0.479 10.483 -0.329 1935 11 3.243 0.105 0 0 3.243 0.105 4.144 0.078 1935 12 -2.117 1.245 1 0 NaN NaN -5.019 -2.584 1936 1 -6.156 0.164 0 0 -6.156 0.164 -7.047 -1.653 1936 2 -10.154 -5.037 1 0 NaN NaN -9.947 -5.757 1936 3 1.208 1.161 0 0 1.208 1.161 2.547 1.573 1936 4 3.565 -3.313 0 0 3.565 -3.313 5.254 -2.551 1936 5 15.084 1.912 0 0 15.084 1.912 16.057 1.957 1936 6 15.651 -3.116 0 0 15.651 -3.116 18.624 -1.070 1936 7 21.106 -0.172 0 0 21.106 -0.172 23.120 0.915 1936 8 19.950 -0.417 0 0 19.950 -0.417 22.315 1.021 1936 9 16.713 0.372 0 0 16.713 0.372 18.606 1.338 1936 10 9.528 -0.356 0 0 9.528 -0.356 10.351 -0.461 1936 11 0.503 -2.635 0 0 0.503 -2.635 1.906 -2.160 1936 12 -1.191 2.170 0 0 -1.191 2.170 -0.951 1.483 1937 1 -2.629 3.692 1 0 NaN NaN -2.310 3.083 1937 2 -1.254 3.863 0 0 -1.254 3.863 -2.851 1.339 1937 3 -1.433 -1.480 0 0 -1.433 -1.480 -0.914 -1.889 1937 4 6.060 -0.818 0 0 6.060 -0.818 6.953 -0.853 1937 5 12.587 -0.585 0 0 12.587 -0.585 13.816 -0.283 1937 6 17.467 -1.300 0 0 17.467 -1.300 19.150 -0.545 1937 7 20.826 -0.452 1 0 NaN NaN 22.241 0.036 1937 8 21.037 0.670 0 0 21.037 0.670 22.769 1.475 1937 9 16.216 -0.125 0 0 16.216 -0.125 16.458 -0.810 1937 10 NaN NaN NaN NaN NaN NaN 9.175 -1.637 1937 11 NaN NaN NaN NaN NaN NaN 3.338 -0.728 1937 12 -4.658 -1.296 0 0 -4.658 -1.296 -4.182 -1.747 1938 1 -5.519 0.802 0 0 -5.519 0.802 -5.392 0.002 1938 2 -1.646 3.470 0 0 -1.646 3.470 -1.275 2.915 1938 3 3.221 3.174 0 0 3.221 3.174 4.698 3.723 1938 4 7.421 0.543 0 0 7.421 0.543 8.762 0.956 1938 5 12.963 -0.209 0 0 12.963 -0.209 13.810 -0.290 1938 6 17.555 -1.212 0 0 17.555 -1.212 19.217 -0.478 1938 7 NaN NaN NaN NaN NaN NaN 22.552 0.347 1938 8 NaN NaN NaN NaN NaN NaN 23.165 1.871 1938 9 15.237 -1.104 0 0 15.237 -1.104 16.420 -0.848 1938 10 11.354 1.470 0 0 11.354 1.470 12.446 1.635 1938 11 4.481 1.343 0 0 4.481 1.343 5.551 1.485 1938 12 -1.919 1.443 0 0 -1.919 1.443 -2.067 0.367 1939 1 -3.406 2.914 0 0 -3.406 2.914 -3.478 1.915 1939 2 NaN NaN NaN NaN NaN NaN -3.759 0.431 1939 3 -0.413 -0.460 0 0 -0.413 -0.460 0.507 -0.467 1939 4 4.898 -1.980 0 0 4.898 -1.980 6.396 -1.409 1939 5 15.285 2.113 0 0 15.285 2.113 15.470 1.371 1939 6 19.500 0.733 0 0 19.500 0.733 20.740 1.045 1939 7 21.523 0.245 0 0 21.523 0.245 22.394 0.189 1939 8 NaN NaN NaN NaN NaN NaN 21.897 0.603 1939 9 NaN NaN NaN NaN NaN NaN 18.717 1.449 1939 10 NaN NaN NaN NaN NaN NaN 11.308 0.497 1939 11 NaN NaN NaN NaN NaN NaN 3.561 -0.504 1939 12 NaN NaN NaN NaN NaN NaN -0.252 2.182 1940 1 NaN NaN NaN NaN NaN NaN -8.629 -3.235 1940 2 NaN NaN NaN NaN NaN NaN -4.156 0.034 1940 3 NaN NaN NaN NaN NaN NaN -2.463 -3.437 1940 4 NaN NaN NaN NaN NaN NaN 5.497 -2.308 1940 5 NaN NaN NaN NaN NaN NaN 12.473 -1.627 1940 6 NaN NaN NaN NaN NaN NaN 19.420 -0.274 1940 7 NaN NaN NaN NaN NaN NaN 22.313 0.107