% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28958 % Primary Name: TONTO % Record Type: TAVG % Country: United States % State: AZ % Latitude: 33.95000 +/- 0.00005 % Longitude: -111.31670 +/- 0.00005 % Elevation (m): 758.34 +/- 0.15 % # of Months: 55 % % Alternate Names: Missing Station ID - 28647 % % IDs: coop - 28647 % ghcnd - USC00028647 % ncdc - 12000277 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 7f75ac8e691b7b3b8937e51dee2a5644 % Raw Data Hash: 5f383a9e96255b6b7bfee17668543239 % Adj Data Hash: 678d36d6040414a69be341b477889a1b % % 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 1898 3 NaN NaN NaN NaN NaN NaN 4.823 -1.788 1898 4 NaN NaN NaN NaN NaN NaN 12.989 2.495 1898 5 NaN NaN NaN NaN NaN NaN 14.044 -1.265 1898 6 NaN NaN NaN NaN NaN NaN 21.047 0.306 1898 7 NaN NaN NaN NaN NaN NaN 25.033 0.932 1898 8 NaN NaN NaN NaN NaN NaN 23.520 0.900 1898 9 NaN NaN NaN NaN NaN NaN 19.690 0.290 1898 10 NaN NaN NaN NaN NaN NaN 12.579 -0.685 1898 11 NaN NaN NaN NaN NaN NaN 5.746 -0.819 1898 12 NaN NaN NaN NaN NaN NaN -0.954 -3.099 1899 1 NaN NaN NaN NaN NaN NaN -0.413 -2.142 1899 2 NaN NaN NaN NaN NaN NaN 2.639 -1.348 1899 3 21.876 9.740 1 0 NaN NaN 6.516 -0.095 1899 4 18.137 2.118 1 0 NaN NaN 11.216 0.722 1899 5 19.298 -1.536 0 0 19.298 -1.536 13.150 -2.159 1899 6 25.697 -0.569 0 0 25.697 -0.569 20.555 -0.186 1899 7 30.400 0.774 1 0 NaN NaN 24.143 0.042 1899 8 NaN NaN NaN NaN NaN NaN 21.693 -0.927 1899 9 NaN NaN NaN NaN NaN NaN 21.071 1.671 1899 10 NaN NaN NaN NaN NaN NaN 12.289 -0.975 1899 11 12.358 0.268 0 0 12.358 0.268 7.311 0.745 1899 12 7.737 0.067 0 0 7.737 0.067 2.760 0.615 1900 1 8.906 1.652 0 0 8.906 1.652 4.408 2.679 1900 2 8.173 -1.339 0 0 8.173 -1.339 4.133 0.146 1900 3 13.466 1.330 0 0 13.466 1.330 9.111 2.500 1900 4 11.943 -4.076 0 0 11.943 -4.076 8.451 -2.043 1900 5 19.958 -0.876 0 0 19.958 -0.876 16.246 0.938 1900 6 26.603 0.337 0 0 26.603 0.337 21.529 0.789 1900 7 30.348 0.722 0 0 30.348 0.722 24.847 0.746 1900 8 NaN NaN NaN NaN NaN NaN 21.311 -1.309 1900 9 NaN NaN NaN NaN NaN NaN 17.787 -1.613 1900 10 18.477 -0.312 0 0 18.477 -0.312 13.117 -0.147 1900 11 12.880 0.790 0 0 12.880 0.790 7.521 0.955 1900 12 7.952 0.281 0 0 7.952 0.281 2.847 0.702 1901 1 7.848 0.594 0 0 7.848 0.594 2.764 1.035 1901 2 9.600 0.088 0 0 9.600 0.088 4.399 0.413 1901 3 11.769 -0.367 0 0 11.769 -0.367 6.204 -0.407 1901 4 15.463 -0.556 0 0 15.463 -0.556 9.928 -0.566 1901 5 20.479 -0.355 0 0 20.479 -0.355 15.268 -0.041 1901 6 25.287 -0.979 0 0 25.287 -0.979 19.588 -1.153 1901 7 30.787 1.161 0 0 30.787 1.161 25.443 1.342 1901 8 29.131 0.987 1 0 NaN NaN 23.304 0.684 1901 9 24.109 -0.817 1 0 NaN NaN 19.317 -0.083 1901 10 18.965 0.176 0 0 18.965 0.176 13.762 0.498 1901 11 12.702 0.611 0 0 12.702 0.611 8.234 1.669 1901 12 7.071 -0.599 0 0 7.071 -0.599 2.587 0.442 1902 1 7.465 0.210 0 0 7.465 0.210 2.248 0.519 1902 2 9.684 0.172 0 0 9.684 0.172 4.472 0.485 1902 3 11.298 -0.838 0 0 11.298 -0.838 4.306 -2.305 1902 4 17.828 1.809 0 0 17.828 1.809 11.951 1.457 1902 5 20.387 -0.447 0 0 20.387 -0.447 14.733 -0.576 1902 6 27.485 1.219 0 0 27.485 1.219 21.907 1.166 1902 7 28.358 -1.268 0 0 28.358 -1.268 23.075 -1.027 1902 8 28.282 0.138 0 0 28.282 0.138 22.479 -0.141 1902 9 24.550 -0.376 1 0 NaN NaN 19.499 0.099 1902 10 19.345 0.556 0 0 19.345 0.556 13.906 0.642 1902 11 10.982 -1.109 0 0 10.982 -1.109 5.748 -0.817 1902 12 7.335 -0.335 0 0 7.335 -0.335 1.835 -0.311 1903 1 7.406 0.152 0 0 7.406 0.152 2.377 0.648 1903 2 7.718 -1.794 0 0 7.718 -1.794 0.213 -3.773 1903 3 12.087 -0.049 0 0 12.087 -0.049 6.402 -0.209 1903 4 NaN NaN NaN NaN NaN NaN 10.300 -0.194 1903 5 NaN NaN NaN NaN NaN NaN 14.461 -0.847 1903 6 NaN NaN NaN NaN NaN NaN 20.199 -0.542 1903 7 NaN NaN NaN NaN NaN NaN 24.172 0.071 1903 8 29.411 1.267 0 0 29.411 1.267 23.387 0.768 1903 9 24.640 -0.285 0 0 24.640 -0.285 18.653 -0.747 1903 10 18.847 0.058 0 0 18.847 0.058 13.030 -0.234 1903 11 13.133 1.043 0 0 13.133 1.043 8.377 1.812 1903 12 8.229 0.559 0 0 8.229 0.559 2.323 0.178 1904 1 6.755 -0.499 0 0 6.755 -0.499 0.594 -1.135 1904 2 12.133 2.621 1 0 NaN NaN 6.773 2.786 1904 3 15.387 3.251 0 0 15.387 3.251 8.545 1.934 1904 4 19.063 3.044 0 0 19.063 3.044 11.359 0.865 1904 5 23.481 2.647 0 0 23.481 2.647 15.655 0.346 1904 6 29.007 2.741 0 0 29.007 2.741 20.443 -0.298 1904 7 NaN NaN NaN NaN NaN NaN 23.530 -0.571 1904 8 NaN NaN NaN NaN NaN NaN 22.320 -0.299 1904 9 NaN NaN NaN NaN NaN NaN 19.204 -0.196 1904 10 NaN NaN NaN NaN NaN NaN 12.779 -0.485 1904 11 NaN NaN NaN NaN NaN NaN 7.104 0.539 1904 12 NaN NaN NaN NaN NaN NaN 2.617 0.472 1905 1 NaN NaN NaN NaN NaN NaN 3.049 1.320 1905 2 NaN NaN NaN NaN NaN NaN 4.449 0.462 1905 3 NaN NaN NaN NaN NaN NaN 7.324 0.713 1905 4 NaN NaN NaN NaN NaN NaN 10.028 -0.466 1905 5 NaN NaN NaN NaN NaN NaN 13.209 -2.099 1905 6 NaN NaN NaN NaN NaN NaN 19.795 -0.946