% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38712 % Primary Name: MORRICE 2 N % Record Type: TAVG % Country: United States % State: MI % Latitude: 42.95250 +/- 0.00005 % Longitude: -83.74110 +/- 0.00005 % Elevation (m): 259.08 +/- 0.15 % # of Months: 23 % % Alternate Names: Missing Station ID - 205629 % % IDs: coop - 205629 % ghcnd - USC00205629 % ncdc - 30000432 % nws - MCEM4 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 1f403d6c98da7a4ae97a0e4947760080 % Raw Data Hash: 19d78b9fd14c2b07f21d60838f6a2d29 % Adj Data Hash: 4594a464f4c1bb9ec34c589bd16b267d % % 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 1924 4 NaN NaN NaN NaN NaN NaN 7.497 -0.308 1924 5 NaN NaN NaN NaN NaN NaN 10.349 -3.750 1924 6 NaN NaN NaN NaN NaN NaN 18.284 -1.410 1924 7 NaN NaN NaN NaN NaN NaN 20.570 -1.635 1924 8 NaN NaN NaN NaN NaN NaN 20.408 -0.886 1924 9 NaN NaN NaN NaN NaN NaN 14.695 -2.573 1924 10 NaN NaN NaN NaN NaN NaN 12.443 1.632 1924 11 NaN NaN NaN NaN NaN NaN 4.285 0.220 1924 12 NaN NaN NaN NaN NaN NaN -5.549 -3.114 1925 1 NaN NaN NaN NaN NaN NaN -7.313 -1.920 1925 2 NaN NaN NaN NaN NaN NaN -2.125 2.064 1925 3 NaN NaN NaN NaN NaN NaN 2.115 1.140 1925 4 9.725 2.613 1 0 NaN NaN 9.942 2.137 1925 5 NaN NaN NaN NaN NaN NaN 11.322 -2.777 1925 6 NaN NaN NaN NaN NaN NaN 21.268 1.574 1925 7 20.376 -1.136 0 0 20.376 -1.136 21.314 -0.891 1925 8 20.308 -0.292 0 0 20.308 -0.292 21.205 -0.089 1925 9 17.872 1.297 0 0 17.872 1.297 18.584 1.316 1925 10 4.641 -5.477 1 0 NaN NaN 6.198 -4.614 1925 11 NaN NaN NaN NaN NaN NaN 2.780 -1.285 1925 12 NaN NaN NaN NaN NaN NaN -4.089 -1.654 1926 1 NaN NaN NaN NaN NaN NaN -5.183 0.211 1926 2 NaN NaN NaN NaN NaN NaN -4.767 -0.578 1926 3 NaN NaN NaN NaN NaN NaN -2.506 -3.480 1926 4 5.946 -1.166 1 0 NaN NaN 4.461 -3.345 1926 5 12.972 -0.434 0 0 12.972 -0.434 12.986 -1.113 1926 6 15.969 -3.032 0 0 15.969 -3.032 17.158 -2.536 1926 7 21.063 -0.449 0 0 21.063 -0.449 21.717 -0.488 1926 8 20.947 0.346 0 0 20.947 0.346 21.488 0.194 1926 9 15.408 -1.167 0 0 15.408 -1.167 16.816 -0.452 1926 10 7.995 -2.123 1 0 NaN NaN 9.771 -1.041 1926 11 NaN NaN NaN NaN NaN NaN 3.183 -0.883 1926 12 NaN NaN NaN NaN NaN NaN -4.688 -2.254 1927 1 NaN NaN NaN NaN NaN NaN -6.010 -0.616 1927 2 NaN NaN NaN NaN NaN NaN -1.317 2.872 1927 3 NaN NaN NaN NaN NaN NaN 3.402 2.428 1927 4 6.109 -1.003 1 0 NaN NaN 7.473 -0.332 1927 5 12.515 -0.891 0 0 12.515 -0.891 12.724 -1.376 1927 6 16.505 -2.496 0 0 16.505 -2.496 17.027 -2.667 1927 7 23.606 2.094 1 0 NaN NaN 21.274 -0.932 1927 8 NaN NaN NaN NaN NaN NaN 18.302 -2.992 1927 9 NaN NaN NaN NaN NaN NaN 19.130 1.862 1927 10 11.773 1.655 0 0 11.773 1.655 12.819 2.007 1927 11 NaN NaN NaN NaN NaN NaN 5.880 1.815 1927 12 NaN NaN NaN NaN NaN NaN -2.464 -0.029 1928 1 NaN NaN NaN NaN NaN NaN -4.479 0.914 1928 2 NaN NaN NaN NaN NaN NaN -3.803 0.387 1928 3 NaN NaN NaN NaN NaN NaN 0.205 -0.770 1928 4 5.505 -1.608 1 0 NaN NaN 6.101 -1.705 1928 5 13.590 0.184 0 0 13.590 0.184 13.136 -0.963 1928 6 16.273 -2.728 0 0 16.273 -2.728 16.860 -2.835 1928 7 21.273 -0.239 0 0 21.273 -0.239 22.133 -0.073 1928 8 NaN NaN NaN NaN NaN NaN 21.906 0.612 1928 9 14.382 -2.193 0 0 14.382 -2.193 15.279 -1.989 1928 10 11.132 1.014 0 0 11.132 1.014 12.204 1.393 1928 11 NaN NaN NaN NaN NaN NaN 5.068 1.002 1928 12 NaN NaN NaN NaN NaN NaN -0.840 1.595 1929 1 NaN NaN NaN NaN NaN NaN -7.582 -2.188 1929 2 NaN NaN NaN NaN NaN NaN -6.861 -2.671 1929 3 NaN NaN NaN NaN NaN NaN 4.619 3.645 1929 4 NaN NaN NaN NaN NaN NaN 9.036 1.231 1929 5 NaN NaN NaN NaN NaN NaN 12.330 -1.769 1929 6 NaN NaN NaN NaN NaN NaN 18.046 -1.648 1929 7 NaN NaN NaN NaN NaN NaN 21.915 -0.290 1929 8 NaN NaN NaN NaN NaN NaN 19.576 -1.718 1929 9 NaN NaN NaN NaN NaN NaN 17.516 0.248 1929 10 NaN NaN NaN NaN NaN NaN 9.800 -1.011