% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39359 % Primary Name: AKRON 7 NW % Record Type: TAVG % Country: United States % State: MI % Latitude: 43.60970 +/- 0.00005 % Longitude: -83.63360 +/- 0.00005 % Elevation (m): 179.50 +/- 0.05 % # of Months: 72 % % IDs: coop - 200084 % ghcnd - USC00200084 % ncdc - 30000283 % nws - AKNM4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 0adae4cfc48567e03b55d6d8e0af08a9 % Raw Data Hash: b2d20735affc0d7a28036a32c0dd2255 % Adj Data Hash: 0766132702909e227c82e5b0ca8be949 % % 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 1996 7 NaN NaN NaN NaN NaN NaN 17.678 -1.386 1996 8 NaN NaN NaN NaN NaN NaN 19.439 0.506 1996 9 NaN NaN NaN NaN NaN NaN 16.219 0.832 1996 10 NaN NaN NaN NaN NaN NaN 10.350 0.351 1996 11 NaN NaN NaN NaN NaN NaN 2.303 -1.872 1996 12 NaN NaN NaN NaN NaN NaN -0.479 1.671 1997 1 NaN NaN NaN NaN NaN NaN -5.929 -0.452 1997 2 NaN NaN NaN NaN NaN NaN -3.509 1.795 1997 3 NaN NaN NaN NaN NaN NaN -0.468 0.593 1997 4 NaN NaN NaN NaN NaN NaN 4.620 -0.524 1997 5 NaN NaN NaN NaN NaN NaN 7.200 -3.367 1997 6 NaN NaN NaN NaN NaN NaN 16.892 1.007 1997 7 22.444 2.396 0 0 21.177 1.129 18.902 -0.162 1997 8 20.500 0.583 0 0 19.233 -0.685 17.259 -1.674 1997 9 18.111 1.739 0 0 16.844 0.472 15.554 0.168 1997 10 11.833 0.850 0 0 10.566 -0.417 10.137 0.138 1997 11 4.278 -0.882 0 0 3.011 -2.149 3.666 -0.509 1997 12 1.556 2.720 0 0 0.288 1.453 0.183 2.332 1998 1 -0.222 4.270 0 0 -1.489 3.003 -1.912 3.564 1998 2 2.500 6.819 0 0 1.233 5.552 0.204 5.508 1998 3 4.167 4.242 0 0 2.899 2.975 1.567 2.627 1998 4 9.722 3.594 0 0 8.455 2.326 7.144 2.000 1998 5 17.889 6.337 0 0 16.622 5.070 14.429 3.862 1998 6 20.778 3.908 0 0 19.511 2.641 16.630 0.745 1998 7 22.167 2.118 0 0 20.899 0.851 19.726 0.662 1998 8 22.722 2.805 0 0 21.455 1.538 20.453 1.520 1998 9 19.611 3.239 0 0 18.344 1.972 17.537 2.151 1998 10 12.056 1.072 0 0 10.788 -0.195 11.520 1.522 1998 11 6.833 1.674 0 0 5.566 0.406 6.477 2.302 1998 12 2.500 3.665 0 0 1.233 2.398 1.269 3.418 1999 1 -5.500 -1.008 0 0 -6.767 -2.275 -5.912 -0.435 1999 2 1.196 5.516 0 0 -0.071 4.248 -1.409 3.895 1999 3 2.333 2.409 0 0 1.066 1.142 0.025 1.085 1999 4 10.611 4.482 0 0 9.344 3.215 7.321 2.177 1999 5 16.278 4.726 0 0 15.011 3.459 12.747 2.180 1999 6 22.000 5.130 0 0 20.733 3.863 18.443 2.558 1999 7 23.833 3.785 0 0 22.566 2.518 21.367 2.303 1999 8 20.611 0.694 0 0 19.344 -0.574 18.709 -0.224 1999 9 18.278 1.906 0 0 17.011 0.639 16.762 1.375 1999 10 NaN NaN NaN NaN NaN NaN 9.919 -0.079 1999 11 NaN NaN NaN NaN NaN NaN 7.044 2.869 1999 12 NaN NaN NaN NaN NaN NaN -0.730 1.420 2000 1 NaN NaN NaN NaN NaN NaN -4.881 0.596 2000 2 NaN NaN NaN NaN NaN NaN -2.406 2.898 2000 3 NaN NaN NaN NaN NaN NaN 4.313 5.373 2000 4 6.389 0.260 0 1 7.149 1.021 5.702 0.558 2000 5 14.722 3.170 0 0 15.483 3.931 12.253 1.686 2000 6 18.944 2.075 0 0 19.705 2.835 16.640 0.755 2000 7 18.556 -1.493 0 0 19.316 -0.733 18.042 -1.021 2000 8 19.111 -0.806 0 0 19.871 -0.046 18.561 -0.372 2000 9 14.889 -1.483 0 0 15.649 -0.722 15.212 -0.175 2000 10 10.444 -0.539 0 0 11.205 0.221 11.699 1.700 2000 11 3.278 -1.882 0 0 4.038 -1.122 4.920 0.745 2000 12 -8.611 -7.446 0 0 -7.851 -6.686 -6.605 -4.455 2001 1 -4.611 -0.119 0 0 -3.851 0.641 -3.559 1.918 2001 2 -3.911 0.409 0 0 -3.150 1.169 -3.899 1.405 2001 3 -0.556 -0.480 0 0 0.205 0.280 -0.804 0.256 2001 4 8.056 1.927 0 0 8.816 2.687 7.101 1.957 2001 5 15.056 3.504 0 0 15.816 4.264 12.740 2.173 2001 6 18.667 1.797 0 0 19.427 2.557 16.920 1.035 2001 7 21.167 1.118 0 0 21.927 1.879 19.207 0.144 2001 8 21.389 1.471 0 0 22.149 2.232 20.842 1.910 2001 9 15.000 -1.372 0 0 15.760 -0.611 15.025 -0.362 2001 10 9.833 -1.150 0 0 10.594 -0.390 10.505 0.506 2001 11 7.213 2.054 0 0 7.974 2.814 8.606 4.431 2001 12 1.278 2.443 0 0 2.038 3.203 2.142 4.292 2002 1 -1.389 3.103 0 0 -0.629 3.864 -0.695 4.782 2002 2 -2.333 1.986 0 0 -1.573 2.746 -1.666 3.638 2002 3 -0.889 -0.813 0 0 -0.129 -0.053 -1.097 -0.036 2002 4 7.444 1.316 0 0 8.205 2.076 6.613 1.469 2002 5 11.333 -0.218 0 0 12.094 0.542 8.990 -1.577 2002 6 19.389 2.519 0 0 20.149 3.280 17.041 1.156 2002 7 22.778 2.729 0 0 23.538 3.490 21.448 2.384 2002 8 20.000 0.083 0 0 20.760 0.843 19.862 0.929 2002 9 18.444 2.073 0 0 19.205 2.833 18.301 2.914 2002 10 7.667 -3.317 0 0 8.427 -2.556 9.074 -0.925 2002 11 2.278 -2.882 0 0 3.038 -2.122 3.641 -0.534 2002 12 -2.222 -1.057 0 0 -1.462 -0.297 -1.531 0.619 2003 1 -7.056 -2.563 0 0 -6.295 -1.803 -6.949 -1.472 2003 2 -7.278 -2.959 0 0 -6.517 -2.198 -7.653 -2.349 2003 3 -0.667 -0.591 0 0 0.094 0.169 -1.052 0.008 2003 4 5.000 -1.129 0 0 5.760 -0.368 4.329 -0.815 2003 5 11.889 0.337 0 0 12.649 1.097 9.488 -1.079 2003 6 16.889 0.019 0 0 17.649 0.780 15.122 -0.763 2003 7 20.167 0.118 0 0 20.927 0.879 19.101 0.038 2003 8 20.278 0.360 0 0 21.038 1.121 20.068 1.135 2003 9 15.500 -0.872 0 0 16.260 -0.111 15.961 0.574 2003 10 9.056 -1.928 0 0 9.816 -1.167 9.435 -0.563 2003 11 4.667 -0.493 0 0 5.427 0.267 6.093 1.918 2003 12 -1.500 -0.335 0 0 -0.740 0.425 -0.044 2.106 2004 1 NaN NaN NaN NaN NaN NaN -8.399 -2.922 2004 2 NaN NaN NaN NaN NaN NaN -4.907 0.397 2004 3 NaN NaN NaN NaN NaN NaN 1.974 3.034 2004 4 NaN NaN NaN NaN NaN NaN 6.488 1.344 2004 5 NaN NaN NaN NaN NaN NaN 10.327 -0.240 2004 6 NaN NaN NaN NaN NaN NaN 15.265 -0.620 2004 7 NaN NaN NaN NaN NaN NaN 18.313 -0.751 2004 8 NaN NaN NaN NaN NaN NaN 17.726 -1.207 2004 9 NaN NaN NaN NaN NaN NaN 17.950 2.563 2004 10 NaN NaN NaN NaN NaN NaN 11.419 1.420 2004 11 NaN NaN NaN NaN NaN NaN 5.993 1.818 2004 12 NaN NaN NaN NaN NaN NaN -2.923 -0.774