% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 30592 % Primary Name: WHITE HILLS 5 WSW % Record Type: TAVG % Country: United States % State: AZ % Latitude: 35.70000 +/- 0.00005 % Longitude: -114.48330 +/- 0.00005 % Elevation (m): 741.00 +/- 0.05 % # of Months: 33 % % IDs: coop - 29269 % ghcnd - USC00029269 % ncdc - 20001279 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 53853fd76007b84d0dba2995bf75b31c % Raw Data Hash: 3d15fa562ebae72f4d1e55bd11515cc7 % Adj Data Hash: 30c77b0ddbf9e2900cc7eea51030ec2e % % 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 1961 4 NaN NaN NaN NaN NaN NaN 16.524 0.859 1961 5 NaN NaN NaN NaN NaN NaN 20.432 -0.502 1961 6 NaN NaN NaN NaN NaN NaN 28.366 2.000 1961 7 NaN NaN NaN NaN NaN NaN 31.239 1.149 1961 8 NaN NaN NaN NaN NaN NaN 28.847 -0.046 1961 9 NaN NaN NaN NaN NaN NaN 22.923 -1.863 1961 10 NaN NaN NaN NaN NaN NaN 17.668 -0.479 1961 11 NaN NaN NaN NaN NaN NaN 9.402 -1.470 1961 12 NaN NaN NaN NaN NaN NaN 5.359 -1.110 1962 1 NaN NaN NaN NaN NaN NaN 6.214 0.193 1962 2 NaN NaN NaN NaN NaN NaN 9.244 0.361 1962 3 NaN NaN NaN NaN NaN NaN 8.792 -2.740 1962 4 19.389 3.383 0 0 18.976 2.969 19.131 3.467 1962 5 20.278 -0.998 0 0 19.864 -1.412 19.105 -1.830 1962 6 26.056 -0.653 0 0 25.642 -1.066 25.491 -0.875 1962 7 30.667 0.234 0 0 30.253 -0.179 29.213 -0.877 1962 8 31.056 1.820 0 0 30.642 1.406 29.501 0.607 1962 9 27.167 2.038 0 0 26.753 1.625 25.812 1.025 1962 10 19.278 0.789 0 0 18.864 0.375 19.523 1.376 1962 11 13.222 2.007 0 0 12.809 1.594 12.978 2.105 1962 12 7.278 0.467 0 0 6.864 0.054 7.424 0.955 1963 1 4.222 -2.141 0 0 3.809 -2.554 4.762 -1.259 1963 2 12.556 3.330 0 0 12.142 2.917 13.006 4.123 1963 3 NaN NaN NaN NaN NaN NaN 10.531 -1.001 1963 4 NaN NaN NaN NaN NaN NaN 13.106 -2.558 1963 5 NaN NaN NaN NaN NaN NaN 21.970 1.036 1963 6 24.556 -2.153 0 0 24.142 -2.566 23.541 -2.825 1963 7 31.333 0.901 0 0 30.920 0.488 29.676 -0.415 1963 8 30.056 0.820 0 0 29.642 0.406 28.777 -0.116 1963 9 27.444 2.316 0 0 27.031 1.902 25.760 0.973 1963 10 NaN NaN NaN NaN NaN NaN 20.403 2.256 1963 11 NaN NaN NaN NaN NaN NaN 11.638 0.765 1963 12 NaN NaN NaN NaN NaN NaN 6.528 0.060 1964 1 NaN NaN NaN NaN NaN NaN 4.900 -1.121 1964 2 NaN NaN NaN NaN NaN NaN 7.268 -1.615 1964 3 NaN NaN NaN NaN NaN NaN 9.199 -2.333 1964 4 NaN NaN NaN NaN NaN NaN 14.635 -1.029 1964 5 NaN NaN NaN NaN NaN NaN 19.441 -1.493 1964 6 NaN NaN NaN NaN NaN NaN 24.777 -1.589 1964 7 NaN NaN NaN NaN NaN NaN 30.394 0.304 1964 8 NaN NaN NaN NaN NaN NaN 28.867 -0.027 1964 9 NaN NaN NaN NaN NaN NaN 24.329 -0.458 1964 10 NaN NaN NaN NaN NaN NaN 21.564 3.417 1964 11 NaN NaN NaN NaN NaN NaN 8.940 -1.932 1964 12 NaN NaN NaN NaN NaN NaN 6.960 0.492 1965 1 8.105 1.741 1 0 NaN NaN 7.818 1.796 1965 2 9.056 -0.170 0 2 9.498 0.273 9.284 0.400 1965 3 10.667 -1.207 0 0 11.110 -0.765 9.981 -1.551 1965 4 14.889 -1.117 0 0 15.332 -0.675 14.120 -1.545 1965 5 18.167 -3.109 0 0 18.610 -2.667 18.938 -1.996 1965 6 22.833 -3.875 0 0 23.276 -3.432 23.258 -3.108 1965 7 30.389 -0.044 0 0 30.832 0.399 29.119 -0.971 1965 8 29.722 0.486 0 0 30.165 0.929 28.415 -0.479 1965 9 22.444 -2.684 0 0 22.887 -2.241 22.086 -2.701 1965 10 19.056 0.567 0 0 19.498 1.009 20.137 1.990 1965 11 12.333 1.118 0 0 12.776 1.561 12.321 1.448 1965 12 6.426 -0.384 1 0 NaN NaN 6.330 -0.138 1966 1 3.778 -2.586 0 0 4.221 -2.143 5.065 -0.957 1966 2 5.278 -3.948 0 0 5.721 -3.505 6.864 -2.019 1966 3 12.611 0.737 0 0 13.054 1.180 12.386 0.854 1966 4 16.833 0.827 0 0 17.276 1.270 17.018 1.354 1966 5 22.586 1.310 1 0 NaN NaN 22.719 1.785 1966 6 26.539 -0.169 1 0 NaN NaN 26.404 0.038 1966 7 NaN NaN NaN NaN NaN NaN 29.763 -0.327 1966 8 NaN NaN NaN NaN NaN NaN 29.794 0.900 1966 9 NaN NaN NaN NaN NaN NaN 25.204 0.418 1966 10 NaN NaN NaN NaN NaN NaN 18.323 0.176 1966 11 NaN NaN NaN NaN NaN NaN 11.933 1.061 1966 12 NaN NaN NaN NaN NaN NaN 7.056 0.588 1967 1 NaN NaN NaN NaN NaN NaN 6.776 0.755 1967 2 NaN NaN NaN NaN NaN NaN 10.049 1.165 1967 3 NaN NaN NaN NaN NaN NaN 12.947 1.415 1967 4 NaN NaN NaN NaN NaN NaN 11.165 -4.500 1967 5 NaN NaN NaN NaN NaN NaN 20.248 -0.686 1967 6 NaN NaN NaN NaN NaN NaN 23.977 -2.389