% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38860 % Primary Name: HARTLAND % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.10000 +/- 0.00005 % Longitude: -88.36670 +/- 0.00005 % Elevation (m): 282.55 +/- 0.15 % # of Months: 55 % % Alternate Names: Missing Station ID - 473461 % % IDs: coop - 473461 % ghcnd - USC00473461 % ncdc - 12006168 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 8243f330f0648ce0ec29deda3a7b0f84 % Raw Data Hash: d294076b57c579007f39e7a49e57e362 % Adj Data Hash: c204a0410248f15176568d47743a06b8 % % 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 1895 12 NaN NaN NaN NaN NaN NaN -3.798 0.819 1896 1 NaN NaN NaN NaN NaN NaN -6.162 2.165 1896 2 NaN NaN NaN NaN NaN NaN -5.227 0.173 1896 3 NaN NaN NaN NaN NaN NaN -2.248 -2.717 1896 4 NaN NaN NaN NaN NaN NaN 11.819 3.361 1896 5 NaN NaN NaN NaN NaN NaN 18.917 4.001 1896 6 NaN NaN NaN NaN NaN NaN 20.235 0.176 1896 7 NaN NaN NaN NaN NaN NaN 21.773 -0.587 1896 8 NaN NaN NaN NaN NaN NaN 21.283 0.025 1896 9 NaN NaN NaN NaN NaN NaN 14.198 -2.637 1896 10 NaN NaN NaN NaN NaN NaN 8.133 -2.481 1896 11 NaN NaN NaN NaN NaN NaN 0.653 -2.019 1896 12 -2.509 2.344 0 0 -2.509 2.344 -2.473 2.144 1897 1 -7.043 1.520 0 0 -7.043 1.520 -8.950 -0.623 1897 2 -4.223 1.413 0 0 -4.223 1.413 -4.310 1.091 1897 3 -1.505 -1.738 0 0 -1.505 -1.738 -1.207 -1.676 1897 4 6.833 -1.388 0 0 6.833 -1.388 8.030 -0.428 1897 5 12.926 -1.754 0 0 12.926 -1.754 13.686 -1.230 1897 6 18.065 -1.758 0 0 18.065 -1.758 19.034 -1.025 1897 7 22.248 0.124 0 0 22.248 0.124 23.319 0.959 1897 8 18.638 -2.384 0 0 18.638 -2.384 19.366 -1.892 1897 9 19.222 2.624 0 0 19.222 2.624 19.738 2.903 1897 10 12.527 2.149 0 0 12.527 2.149 13.345 2.731 1897 11 1.370 -1.065 0 0 1.370 -1.065 1.121 -1.550 1897 12 -6.935 -2.083 0 0 -6.935 -2.083 -7.587 -2.970 1898 1 -4.910 3.653 0 0 -4.910 3.653 -6.146 2.181 1898 2 -5.411 0.226 0 0 -5.411 0.226 -5.437 -0.036 1898 3 2.509 2.276 0 0 2.509 2.276 2.191 1.723 1898 4 6.481 -1.740 0 0 6.481 -1.740 7.580 -0.878 1898 5 13.333 -1.347 0 0 13.333 -1.347 14.220 -0.697 1898 6 19.845 0.022 0 0 19.845 0.022 20.601 0.542 1898 7 22.401 0.278 0 0 22.401 0.278 22.251 -0.109 1898 8 20.644 -0.378 0 0 20.644 -0.378 20.589 -0.669 1898 9 18.167 1.568 0 0 18.167 1.568 17.911 1.077 1898 10 9.111 -1.267 0 0 9.111 -1.267 9.181 -1.433 1898 11 NaN NaN NaN NaN NaN NaN 0.770 -1.902 1898 12 NaN NaN NaN NaN NaN NaN -7.872 -3.255 1899 1 NaN NaN NaN NaN NaN NaN -8.575 -0.248 1899 2 -9.362 -3.726 1 0 NaN NaN -10.695 -5.294 1899 3 -4.474 -4.707 0 0 -4.474 -4.707 -4.190 -4.658 1899 4 9.345 1.123 0 0 9.345 1.123 9.979 1.522 1899 5 14.185 -0.495 0 0 14.185 -0.495 15.021 0.105 1899 6 19.755 -0.068 0 0 19.755 -0.068 20.695 0.636 1899 7 21.147 -0.977 0 0 21.147 -0.977 21.964 -0.396 1899 8 22.398 1.377 0 0 22.398 1.377 22.242 0.984 1899 9 15.577 -1.022 0 0 15.577 -1.022 15.716 -1.119 1899 10 12.742 2.364 0 0 12.742 2.364 13.349 2.735 1899 11 5.547 3.111 0 0 5.547 3.111 5.702 3.030 1899 12 -4.571 0.282 0 0 -4.571 0.282 -5.171 -0.554 1900 1 -3.902 4.661 0 0 -3.902 4.661 -5.073 3.254 1900 2 -9.654 -4.017 0 0 -9.654 -4.017 -9.978 -4.577 1900 3 -2.977 -3.210 0 0 -2.977 -3.210 -3.392 -3.861 1900 4 8.822 0.600 0 0 8.822 0.600 9.656 1.199 1900 5 15.702 1.021 0 0 15.702 1.021 16.086 1.170 1900 6 18.883 -0.940 0 0 18.883 -0.940 19.413 -0.646 1900 7 21.419 -0.704 0 0 21.419 -0.704 21.389 -0.971 1900 8 24.162 3.140 0 0 24.162 3.140 24.099 2.841 1900 9 17.375 0.776 0 0 17.375 0.776 17.473 0.638 1900 10 14.247 3.869 0 0 14.247 3.869 14.953 4.339 1900 11 NaN NaN NaN NaN NaN NaN 0.996 -1.675 1900 12 -3.128 1.724 0 0 -3.128 1.724 -3.397 1.220 1901 1 -6.399 2.164 0 0 -6.399 2.164 -6.958 1.369 1901 2 -11.268 -5.631 0 0 -11.268 -5.631 -10.649 -5.249 1901 3 -1.276 -1.508 0 0 -1.276 -1.508 -0.834 -1.303 1901 4 NaN NaN NaN NaN NaN NaN 8.753 0.295 1901 5 13.623 -1.058 0 0 13.623 -1.058 14.468 -0.448 1901 6 20.207 0.384 0 0 20.207 0.384 21.341 1.282 1901 7 25.369 3.246 0 0 25.369 3.246 26.114 3.754 1901 8 21.381 0.359 0 0 21.381 0.359 21.555 0.297 1901 9 16.102 -0.497 0 0 16.102 -0.497 16.324 -0.510 1901 10 11.258 0.880 0 0 11.258 0.880 11.934 1.320 1901 11 0.778 -1.658 1 0 NaN NaN 1.158 -1.514 1901 12 NaN NaN NaN NaN NaN NaN -6.586 -1.969 1902 1 NaN NaN NaN NaN NaN NaN -7.001 1.326 1902 2 NaN NaN NaN NaN NaN NaN -8.665 -3.265 1902 3 NaN NaN NaN NaN NaN NaN 2.646 2.178 1902 4 NaN NaN NaN NaN NaN NaN 8.083 -0.374 1902 5 NaN NaN NaN NaN NaN NaN 16.017 1.101 1902 6 NaN NaN NaN NaN NaN NaN 17.639 -2.421 1902 7 NaN NaN NaN NaN NaN NaN 21.898 -0.462 1902 8 NaN NaN NaN NaN NaN NaN 19.251 -2.007 1902 9 NaN NaN NaN NaN NaN NaN 14.572 -2.262 1902 10 NaN NaN NaN NaN NaN NaN 11.414 0.800 1902 11 NaN NaN NaN NaN NaN NaN 6.326 3.655