% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 163744 % Primary Name: ANAMOSA 3 SSW % Record Type: TAVG % Country: United States % State: IA % Latitude: 42.07720 +/- 0.00005 % Longitude: -91.30280 +/- 0.00005 % Elevation (m): 276.15 +/- 0.15 % # of Months: 24 % % Alternate Names: Missing Station ID - 130214 % % IDs: coop - 130214 % ghcnd - USC00130214 % ncdc - 30015708 % nws - AMOI4 % % Sources: Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 6b9bc1d972231cd76d8eab530041252a % Raw Data Hash: 6e7a586da74614a2801a2cf6ff043bca % Adj Data Hash: ea6ff75881b6a4854e0cbc5ef75fc74f % % 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 2010 10 NaN NaN NaN NaN NaN NaN 12.615 1.931 2010 11 NaN NaN NaN NaN NaN NaN 3.772 1.506 2010 12 NaN NaN NaN NaN NaN NaN -8.247 -3.005 2011 1 NaN NaN NaN NaN NaN NaN -10.180 -0.952 2011 2 NaN NaN NaN NaN NaN NaN -5.582 0.252 2011 3 NaN NaN NaN NaN NaN NaN 0.603 0.375 2011 4 NaN NaN NaN NaN NaN NaN 8.455 -0.187 2011 5 NaN NaN NaN NaN NaN NaN 15.162 -0.165 2011 6 NaN NaN NaN NaN NaN NaN 21.301 0.806 2011 7 NaN NaN NaN NaN NaN NaN 25.476 2.742 2011 8 NaN NaN NaN NaN NaN NaN 22.304 0.739 2011 9 NaN NaN NaN NaN NaN NaN 15.634 -1.197 2011 10 8.277 -2.327 1 0 NaN NaN 12.506 1.823 2011 11 4.497 2.310 0 0 4.497 2.310 4.867 2.601 2011 12 -0.634 4.688 0 0 -0.634 4.688 -0.994 4.248 2012 1 -3.803 5.504 0 0 -3.803 5.504 -4.758 4.470 2012 2 -0.878 5.035 1 0 NaN NaN -1.310 4.524 2012 3 10.389 10.240 0 0 10.389 10.240 9.903 9.675 2012 4 10.200 1.638 0 0 10.200 1.638 10.288 1.646 2012 5 17.892 2.644 0 0 17.892 2.644 18.297 2.969 2012 6 21.186 0.771 1 0 NaN NaN 22.095 1.600 2012 7 25.769 3.115 0 1 25.769 3.115 26.381 3.647 2012 8 20.948 -0.537 0 0 20.948 -0.537 21.705 0.140 2012 9 16.048 -0.703 0 0 16.048 -0.703 16.408 -0.423 2012 10 9.642 -0.962 0 0 9.642 -0.962 10.047 -0.636 2012 11 3.833 1.647 0 0 3.833 1.647 4.187 1.921 2012 12 -1.245 4.076 1 0 NaN NaN -1.912 3.330 2013 1 -4.982 4.325 0 0 -4.982 4.325 -6.722 2.506 2013 2 -4.613 1.300 1 0 NaN NaN -5.261 0.572 2013 3 -1.985 -2.134 0 0 -1.985 -2.134 -2.983 -3.211 2013 4 6.993 -1.569 0 0 6.993 -1.569 6.794 -1.848 2013 5 15.637 0.389 0 0 15.637 0.389 15.641 0.313 2013 6 20.045 -0.370 0 0 20.045 -0.370 20.739 0.244 2013 7 21.342 -1.312 0 0 21.342 -1.312 22.621 -0.113 2013 8 21.416 -0.069 0 0 21.416 -0.069 22.158 0.592 2013 9 18.593 1.842 0 0 18.593 1.842 18.775 1.944 2013 10 NaN NaN NaN NaN NaN NaN 11.015 0.332