% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28241 % Primary Name: GILA BEND 3 ENE % Record Type: TAVG % Country: United States % State: AZ % Latitude: 32.96500 +/- 0.00005 % Longitude: -112.66970 +/- 0.00005 % Elevation (m): 237.74 +/- 0.15 % # of Months: 39 % % IDs: coop - 23399 % ghcnd - USW00053176 % gsod - 999999-53176 % icao - A2A6 % ncdc - 30015618 % nws - GBDA3 % wban - 53176 % % Sources: Global Historical Climatology Network - Daily % Global Summary of the Day % Multi-network Metadata System % % Site Hash: 41aad5e932c937f071f07cd557d38dd0 % Raw Data Hash: 47583d0e6b0968fd5111716de0a25bfa % Adj Data Hash: f85145fd9686c53cdfa59a82dca94de1 % % 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 2009 9 NaN NaN NaN NaN NaN NaN 30.242 1.710 2009 10 NaN NaN NaN NaN NaN NaN 21.352 -0.834 2009 11 NaN NaN NaN NaN NaN NaN 17.567 2.374 2009 12 NaN NaN NaN NaN NaN NaN 10.179 -0.812 2010 1 NaN NaN NaN NaN NaN NaN 12.094 1.509 2010 2 NaN NaN NaN NaN NaN NaN 12.807 0.074 2010 3 NaN NaN NaN NaN NaN NaN 14.398 -0.801 2010 4 NaN NaN NaN NaN NaN NaN 18.649 -0.475 2010 5 NaN NaN NaN NaN NaN NaN 22.763 -1.316 2010 6 NaN NaN NaN NaN NaN NaN 30.025 0.668 2010 7 NaN NaN NaN NaN NaN NaN 33.907 1.402 2010 8 NaN NaN NaN NaN NaN NaN 32.011 0.720 2010 9 31.667 2.179 1 0 NaN NaN 30.836 2.304 2010 10 23.919 0.777 0 0 23.919 0.777 23.149 0.962 2010 11 15.573 -0.577 0 0 15.573 -0.577 14.962 -0.232 2010 12 13.748 1.801 0 0 13.748 1.801 13.459 2.467 2011 1 11.676 0.135 0 0 11.676 0.135 10.974 0.389 2011 2 11.629 -2.061 0 0 11.629 -2.061 10.833 -1.900 2011 3 18.392 2.236 0 0 18.392 2.236 17.148 1.948 2011 4 22.082 2.001 0 0 22.082 2.001 20.894 1.770 2011 5 24.135 -0.901 0 0 24.135 -0.901 23.109 -0.971 2011 6 30.697 0.384 0 0 30.697 0.384 30.000 0.643 2011 7 33.815 0.353 0 0 33.815 0.353 33.192 0.687 2011 8 35.627 3.380 0 0 35.627 3.380 33.724 2.434 2011 9 31.265 1.777 0 0 31.265 1.777 30.626 2.095 2011 10 24.505 1.362 0 0 24.505 1.362 23.732 1.546 2011 11 16.027 -0.123 0 0 16.027 -0.123 15.081 -0.113 2011 12 10.308 -1.640 0 0 10.308 -1.640 9.535 -1.456 2012 1 12.959 1.418 0 0 12.959 1.418 12.697 2.112 2012 2 13.886 0.197 1 0 NaN NaN 13.284 0.551 2012 3 17.150 0.994 0 0 17.150 0.994 15.786 0.586 2012 4 22.173 2.093 0 0 22.173 2.093 21.141 2.016 2012 5 27.337 2.301 1 0 NaN NaN 26.098 2.018 2012 6 32.235 1.922 0 0 32.235 1.922 31.450 2.094 2012 7 33.247 -0.215 0 0 33.247 -0.215 32.448 -0.057 2012 8 34.137 1.890 0 0 34.137 1.890 32.422 1.131 2012 9 30.658 1.171 0 0 30.658 1.171 29.483 0.952 2012 10 24.392 1.249 0 0 24.392 1.249 23.625 1.439 2012 11 18.480 2.330 0 0 18.480 2.330 17.742 2.548 2012 12 12.342 0.394 0 0 12.342 0.394 11.469 0.478 2013 1 10.540 -1.000 0 0 10.540 -1.000 9.747 -0.837 2013 2 12.446 -1.243 0 0 12.446 -1.243 11.252 -1.481 2013 3 19.552 3.395 0 0 19.552 3.395 17.721 2.521 2013 4 22.315 2.234 0 0 22.315 2.234 20.810 1.686 2013 5 26.935 1.899 0 0 26.935 1.899 25.536 1.457 2013 6 32.683 2.370 0 0 32.683 2.370 31.773 2.416 2013 7 34.587 1.126 0 0 34.587 1.126 33.227 0.722 2013 8 33.240 0.993 1 0 NaN NaN 31.639 0.348 2013 9 29.878 0.391 0 0 29.878 0.391 29.149 0.617 2013 10 21.392 -1.751 0 0 21.392 -1.751 21.089 -1.098 2013 11 18.060 1.910 1 0 NaN NaN NaN NaN