% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31305 % Primary Name: KAYENTA 21 SSW % Record Type: TAVG % Country: United States % State: AZ % Latitude: 36.45000 +/- 0.00500 % Longitude: -110.40000 +/- 0.00500 % Elevation (m): 1989.10 +/- 0.05 % # of Months: 33 % % IDs: coop - 24580 % ghcnd - USC00024580 % ncdc - 20001316 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 8f5231ab186e7f3869cd9860057f5ce0 % Raw Data Hash: 866d686977c30740a3977dc9a2bb8a11 % Adj Data Hash: 08a55056a3dd117b55d16fd8725d9052 % % 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 1971 11 NaN NaN NaN NaN NaN NaN 4.236 -0.805 1971 12 NaN NaN NaN NaN NaN NaN -1.990 -1.888 1972 1 NaN NaN NaN NaN NaN NaN 0.761 1.359 1972 2 NaN NaN NaN NaN NaN NaN 4.174 1.513 1972 3 NaN NaN NaN NaN NaN NaN 9.666 3.710 1972 4 NaN NaN NaN NaN NaN NaN 11.088 0.846 1972 5 NaN NaN NaN NaN NaN NaN 15.698 0.256 1972 6 NaN NaN NaN NaN NaN NaN 20.688 -0.299 1972 7 NaN NaN NaN NaN NaN NaN 25.336 0.856 1972 8 NaN NaN NaN NaN NaN NaN 22.993 -0.103 1972 9 NaN NaN NaN NaN NaN NaN 18.704 -0.392 1972 10 NaN NaN NaN NaN NaN NaN 11.824 -0.682 1972 11 0.722 -2.044 0 0 0.722 -2.044 3.053 -1.989 1972 12 -3.278 -0.900 0 0 -3.278 -0.900 -1.671 -1.569 1973 1 -5.167 -2.294 0 0 -5.167 -2.294 -2.874 -2.277 1973 2 -0.056 -0.441 0 0 -0.056 -0.441 2.426 -0.235 1973 3 0.938 -2.742 1 0 NaN NaN 3.126 -2.830 1973 4 5.374 -2.593 1 0 NaN NaN 8.285 -1.957 1973 5 13.833 0.667 0 0 13.833 0.667 15.713 0.271 1973 6 18.167 -0.545 0 0 18.167 -0.545 20.473 -0.514 1973 7 21.167 -1.038 0 0 21.167 -1.038 24.425 -0.055 1973 8 20.278 -0.543 0 0 20.278 -0.543 22.951 -0.145 1973 9 15.111 -1.710 0 0 15.111 -1.710 18.704 -0.393 1973 10 11.111 0.880 0 0 11.111 0.880 13.053 0.547 1973 11 4.111 1.345 0 0 4.111 1.345 5.933 0.891 1973 12 0.111 2.489 0 0 0.111 2.489 1.265 1.368 1974 1 -4.611 -1.738 0 0 -4.611 -1.738 -1.774 -1.177 1974 2 -1.556 -1.941 0 0 -1.556 -1.941 1.487 -1.174 1974 3 6.833 3.153 0 0 6.833 3.153 8.229 2.274 1974 4 7.889 -0.078 0 0 7.889 -0.078 9.435 -0.807 1974 5 13.729 0.562 1 0 NaN NaN 17.081 1.639 1974 6 20.944 2.233 0 0 20.944 2.233 23.360 2.373 1974 7 21.333 -0.872 0 0 21.333 -0.872 23.886 -0.594 1974 8 20.000 -0.821 0 0 20.000 -0.821 22.668 -0.428 1974 9 16.147 -0.674 1 0 NaN NaN 19.207 0.110 1974 10 11.833 1.603 0 0 11.833 1.603 12.981 0.475 1974 11 4.000 1.234 0 0 4.000 1.234 4.975 -0.067 1974 12 -1.282 1.097 1 0 NaN NaN -1.267 -1.164 1975 1 -3.019 -0.147 1 0 NaN NaN -1.575 -0.977 1975 2 -1.500 -1.886 0 0 -1.500 -1.886 1.360 -1.301 1975 3 2.232 -1.448 1 0 NaN NaN 4.285 -1.671 1975 4 5.907 -2.060 1 0 NaN NaN 6.585 -3.656 1975 5 10.028 -3.139 1 0 NaN NaN 12.980 -2.462 1975 6 16.222 -2.489 0 0 16.222 -2.489 19.774 -1.213 1975 7 21.538 -0.666 1 0 NaN NaN 24.069 -0.411 1975 8 NaN NaN NaN NaN NaN NaN 22.516 -0.580 1975 9 NaN NaN NaN NaN NaN NaN 19.160 0.063 1975 10 NaN NaN NaN NaN NaN NaN 12.328 -0.178 1975 11 NaN NaN NaN NaN NaN NaN 4.600 -0.442 1975 12 NaN NaN NaN NaN NaN NaN 0.159 0.262 1976 1 NaN NaN NaN NaN NaN NaN -0.046 0.552 1976 2 NaN NaN NaN NaN NaN NaN 4.756 2.095 1976 3 NaN NaN NaN NaN NaN NaN 4.459 -1.497 1976 4 NaN NaN NaN NaN NaN NaN 9.184 -1.057 1976 5 NaN NaN NaN NaN NaN NaN 15.780 0.338 1976 6 NaN NaN NaN NaN NaN NaN 20.049 -0.937 1976 7 NaN NaN NaN NaN NaN NaN 23.891 -0.589