% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39289 % Primary Name: CAMBRIA % Record Type: TAVG % Country: United States % State: WI % Latitude: 43.53330 +/- 0.00005 % Longitude: -89.08330 +/- 0.00005 % Elevation (m): 263.96 +/- 0.15 % # of Months: 10 % % Alternate Names: Missing Station ID - 471265 % % IDs: coop - 471265 % ghcnd - USC00471265 % ncdc - 12006146 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 8ffbf26e1c712c4752c51b5f6c082762 % Raw Data Hash: a976a22119759a34d6685b7661a5b587 % Adj Data Hash: 2885bd66fe58b3e105af1c06c00ae0b0 % % 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 1 NaN NaN NaN NaN NaN NaN -13.402 -3.018 1930 2 NaN NaN NaN NaN NaN NaN -3.881 3.790 1930 3 NaN NaN NaN NaN NaN NaN -1.220 0.409 1930 4 NaN NaN NaN NaN NaN NaN 8.024 1.051 1930 5 NaN NaN NaN NaN NaN NaN 13.971 0.217 1930 6 NaN NaN NaN NaN NaN NaN 19.127 0.360 1930 7 NaN NaN NaN NaN NaN NaN 22.071 0.867 1930 8 NaN NaN NaN NaN NaN NaN 21.053 1.051 1930 9 NaN NaN NaN NaN NaN NaN 15.993 0.762 1930 10 NaN NaN NaN NaN NaN NaN 8.826 -0.463 1930 11 NaN NaN NaN NaN NaN NaN 3.390 2.302 1930 12 NaN NaN NaN NaN NaN NaN -5.863 0.670 1931 1 -3.901 5.559 0 0 -3.901 5.559 -5.286 5.098 1931 2 NaN NaN NaN NaN NaN NaN -1.573 6.098 1931 3 1.075 1.780 0 0 1.075 1.780 -1.091 0.538 1931 4 8.835 0.938 1 0 NaN NaN 8.507 1.533 1931 5 12.932 -1.745 0 0 12.932 -1.745 12.356 -1.398 1931 6 21.518 1.827 1 0 NaN NaN 21.101 2.334 1931 7 23.619 1.492 0 0 23.619 1.492 23.356 2.152 1931 8 21.011 0.085 0 0 21.011 0.085 19.945 -0.058 1931 9 19.601 3.447 0 0 19.601 3.447 18.823 3.592 1931 10 12.287 2.074 0 0 12.287 2.074 12.056 2.766 1931 11 NaN NaN NaN NaN NaN NaN 5.442 4.354 1931 12 0.313 5.922 1 0 NaN NaN -1.319 5.214 1932 1 NaN NaN NaN NaN NaN NaN -5.874 4.509 1932 2 NaN NaN NaN NaN NaN NaN -5.952 1.719 1932 3 NaN NaN NaN NaN NaN NaN -5.551 -3.922 1932 4 NaN NaN NaN NaN NaN NaN 6.228 -0.745 1932 5 NaN NaN NaN NaN NaN NaN 13.633 -0.121 1932 6 NaN NaN NaN NaN NaN NaN 20.199 1.431 1932 7 NaN NaN NaN NaN NaN NaN 21.798 0.594 1932 8 NaN NaN NaN NaN NaN NaN 20.676 0.674 1932 9 NaN NaN NaN NaN NaN NaN 14.487 -0.743 1932 10 NaN NaN NaN NaN NaN NaN 8.200 -1.090 1932 11 NaN NaN NaN NaN NaN NaN -0.768 -1.856 1932 12 NaN NaN NaN NaN NaN NaN -7.411 -0.877