% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28972 % Primary Name: ASHDALE RANGER STN % Record Type: TAVG % Country: United States % State: AZ % Latitude: 33.96667 +/- 0.00833 % Longitude: -111.86667 +/- 0.00833 % Elevation (m): 1007.10 +/- 0.05 % # of Months: 86 % % Alternate Names: ASHDALE RS % % IDs: coop - 20467 % ncdc - 20001109 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: dfdd2e0c639f3c9a7ae9645792b89f2c % Raw Data Hash: 45e1388a73b10328368ab34833bb6c31 % Adj Data Hash: b0225feb6ce4a8fd32bd5f09c7e03420 % % 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 1937 12 NaN NaN NaN NaN NaN NaN 4.205 2.060 1938 1 NaN NaN NaN NaN NaN NaN 3.447 1.718 1938 2 NaN NaN NaN NaN NaN NaN 4.064 0.077 1938 3 NaN NaN NaN NaN NaN NaN 6.078 -0.533 1938 4 NaN NaN NaN NaN NaN NaN 10.665 0.171 1938 5 NaN NaN NaN NaN NaN NaN 14.776 -0.532 1938 6 NaN NaN NaN NaN NaN NaN 20.723 -0.018 1938 7 NaN NaN NaN NaN NaN NaN 23.698 -0.403 1938 8 NaN NaN NaN NaN NaN NaN 22.547 -0.073 1938 9 NaN NaN NaN NaN NaN NaN 20.498 1.098 1938 10 NaN NaN NaN NaN NaN NaN 13.459 0.196 1938 11 NaN NaN NaN NaN NaN NaN 4.035 -2.530 1938 12 8.944 3.357 0 0 8.944 3.357 3.725 1.580 1939 1 6.556 1.384 0 0 6.556 1.384 1.854 0.125 1939 2 3.500 -3.929 0 0 3.500 -3.929 -0.841 -4.828 1939 3 11.389 1.336 0 0 11.389 1.336 7.016 0.405 1939 4 15.500 1.564 0 0 15.500 1.564 12.254 1.760 1939 5 18.611 -0.140 0 0 18.611 -0.140 16.118 0.810 1939 6 23.000 -1.183 0 0 23.000 -1.183 20.953 0.213 1939 7 27.667 0.123 0 0 27.667 0.123 25.026 0.925 1939 8 26.889 0.827 0 0 26.889 0.827 22.927 0.307 1939 9 22.722 -0.120 0 0 22.722 -0.120 19.839 0.439 1939 10 16.111 -0.595 0 0 16.111 -0.595 12.450 -0.814 1939 11 12.667 2.659 0 0 12.667 2.659 7.861 1.296 1939 12 10.056 4.468 0 0 10.056 4.468 4.834 2.689 1940 1 8.000 2.829 0 0 8.000 2.829 3.045 1.316 1940 2 7.222 -0.207 0 0 7.222 -0.207 4.447 0.460 1940 3 NaN NaN NaN NaN NaN NaN 8.143 1.532 1940 4 NaN NaN NaN NaN NaN NaN 11.558 1.063 1940 5 NaN NaN NaN NaN NaN NaN 16.991 1.683 1940 6 24.778 0.595 0 0 24.778 0.595 22.366 1.625 1940 7 27.222 -0.321 0 0 27.222 -0.321 24.954 0.853 1940 8 26.111 0.049 0 0 26.111 0.049 22.857 0.238 1940 9 23.222 0.380 0 0 23.222 0.380 19.566 0.166 1940 10 17.667 0.961 0 0 17.667 0.961 14.081 0.818 1940 11 10.167 0.159 0 0 10.167 0.159 5.703 -0.862 1940 12 NaN NaN NaN NaN NaN NaN 4.179 2.034 1941 1 7.611 2.440 0 0 7.611 2.440 3.061 1.332 1941 2 9.222 1.793 0 0 9.222 1.793 5.980 1.993 1941 3 9.889 -0.164 0 0 9.889 -0.164 6.559 -0.052 1941 4 11.000 -2.936 0 0 11.000 -2.936 7.881 -2.613 1941 5 17.889 -0.862 0 0 17.889 -0.862 15.129 -0.180 1941 6 20.889 -3.294 0 0 20.889 -3.294 18.732 -2.009 1941 7 25.278 -2.266 0 0 25.278 -2.266 23.185 -0.916 1941 8 NaN NaN NaN NaN NaN NaN 21.669 -0.950 1941 9 20.833 -2.009 0 0 20.833 -2.009 18.428 -0.972 1941 10 14.667 -2.039 0 0 14.667 -2.039 11.734 -1.530 1941 11 13.333 3.326 0 0 13.333 3.326 7.189 0.623 1941 12 5.944 0.357 0 0 5.944 0.357 2.984 0.839 1942 1 7.556 2.384 0 0 7.556 2.384 2.088 0.359 1942 2 5.667 -1.762 0 0 5.667 -1.762 1.808 -2.179 1942 3 9.111 -0.942 0 0 9.111 -0.942 4.772 -1.839 1942 4 12.556 -1.381 0 0 12.556 -1.381 10.274 -0.220 1942 5 16.889 -1.862 0 0 16.889 -1.862 14.347 -0.962 1942 6 21.778 -2.405 0 0 21.778 -2.405 20.141 -0.599 1942 7 27.556 0.012 0 0 27.556 0.012 25.197 1.096 1942 8 25.889 -0.173 0 0 25.889 -0.173 22.278 -0.341 1942 9 NaN NaN NaN NaN NaN NaN 19.848 0.448 1942 10 16.444 -0.262 0 0 16.444 -0.262 13.664 0.400 1942 11 12.667 2.659 0 0 12.667 2.659 9.002 2.437 1942 12 8.556 2.968 0 0 8.556 2.968 4.656 2.511 1943 1 6.778 1.607 0 0 6.778 1.607 3.431 1.702 1943 2 9.333 1.904 0 0 9.333 1.904 5.839 1.852 1943 3 11.000 0.947 0 0 11.000 0.947 7.770 1.159 1943 4 15.111 1.175 0 0 15.111 1.175 12.837 2.343 1943 5 19.167 0.416 0 0 19.167 0.416 16.261 0.953 1943 6 22.667 -1.516 0 0 22.667 -1.516 20.319 -0.421 1943 7 27.000 -0.543 0 0 27.000 -0.543 24.441 0.340 1943 8 25.611 -0.451 0 0 25.611 -0.451 22.546 -0.074 1943 9 NaN NaN NaN NaN NaN NaN 20.371 0.971 1943 10 16.889 0.183 0 0 16.889 0.183 13.795 0.531 1943 11 11.333 1.326 0 0 11.333 1.326 7.206 0.641 1943 12 7.111 1.524 0 0 7.111 1.524 2.512 0.367 1944 1 6.111 0.940 0 0 6.111 0.940 1.229 -0.500 1944 2 5.500 -1.929 0 0 5.500 -1.929 2.953 -1.033 1944 3 NaN NaN NaN NaN NaN NaN 4.722 -1.889 1944 4 11.667 -2.270 0 0 11.667 -2.270 8.705 -1.789 1944 5 17.111 -1.640 0 0 17.111 -1.640 14.297 -1.012 1944 6 20.444 -3.738 0 0 20.444 -3.738 18.447 -2.293 1944 7 25.556 -1.988 0 0 25.556 -1.988 23.393 -0.708 1944 8 26.889 0.827 0 0 26.889 0.827 23.318 0.698 1944 9 NaN NaN NaN NaN NaN NaN 19.773 0.373 1944 10 NaN NaN NaN NaN NaN NaN 14.765 1.501 1944 11 NaN NaN NaN NaN NaN NaN 5.590 -0.975 1944 12 7.278 1.691 0 0 7.278 1.691 2.936 0.791 1945 1 6.611 1.440 0 0 6.611 1.440 2.013 0.284 1945 2 8.111 0.682 0 0 8.111 0.682 5.029 1.043 1945 3 NaN NaN NaN NaN NaN NaN 4.306 -2.305 1945 4 12.222 -1.714 0 0 12.222 -1.714 9.306 -1.188 1945 5 21.111 2.360 0 0 21.111 2.360 14.692 -0.617 1945 6 NaN NaN NaN NaN NaN NaN 18.632 -2.108 1945 7 27.056 -0.488 0 0 27.056 -0.488 24.375 0.274 1945 8 NaN NaN NaN NaN NaN NaN 22.971 0.352 1945 9 NaN NaN NaN NaN NaN NaN 20.120 0.720 1945 10 NaN NaN NaN NaN NaN NaN 14.519 1.255 1945 11 NaN NaN NaN NaN NaN NaN 6.639 0.074 1945 12 NaN NaN NaN NaN NaN NaN 0.431 -1.714 1946 1 6.000 0.829 0 0 6.000 0.829 0.748 -0.981 1946 2 6.333 -1.096 0 0 6.333 -1.096 3.347 -0.640 1946 3 NaN NaN NaN NaN NaN NaN 6.998 0.387 1946 4 NaN NaN NaN NaN NaN NaN 13.456 2.962 1946 5 18.167 -0.584 0 0 18.167 -0.584 14.809 -0.500 1946 6 23.889 -0.294 0 0 23.889 -0.294 21.745 1.005 1946 7 26.944 -0.599 0 0 26.944 -0.599 24.005 -0.096 1946 8 NaN NaN NaN NaN NaN NaN 22.193 -0.426 1946 9 NaN NaN NaN NaN NaN NaN 20.156 0.756 1946 10 14.333 -2.373 0 0 14.333 -2.373 11.685 -1.579 1946 11 NaN NaN NaN NaN NaN NaN 5.388 -1.178 1946 12 8.778 3.191 0 0 8.778 3.191 4.566 2.421 1947 1 5.222 0.051 0 0 5.222 0.051 0.794 -0.935 1947 2 NaN NaN NaN NaN NaN NaN 6.174 2.187 1947 3 11.000 0.947 0 0 11.000 0.947 7.500 0.889 1947 4 14.000 0.064 0 0 14.000 0.064 10.646 0.152 1947 5 19.556 0.805 0 0 19.556 0.805 16.742 1.433 1947 6 22.056 -2.127 0 0 22.056 -2.127 19.614 -1.127 1947 7 27.944 0.401 0 0 27.944 0.401 24.611 0.509 1947 8 26.000 -0.062 0 0 26.000 -0.062 21.785 -0.834 1947 9 NaN NaN NaN NaN NaN NaN 21.343 1.943 1947 10 17.333 0.627 0 0 17.333 0.627 14.128 0.864 1947 11 9.111 -0.896 0 0 9.111 -0.896 4.271 -2.294 1947 12 5.389 -0.198 0 0 5.389 -0.198 1.468 -0.677 1948 1 NaN NaN NaN NaN NaN NaN 2.905 1.176 1948 2 7.167 -0.262 0 0 7.167 -0.262 2.683 -1.304 1948 3 NaN NaN NaN NaN NaN NaN 3.353 -3.258 1948 4 14.611 0.675 0 0 14.611 0.675 11.776 1.282 1948 5 NaN NaN NaN NaN NaN NaN 15.684 0.375 1948 6 NaN NaN NaN NaN NaN NaN 20.289 -0.452 1948 7 NaN NaN NaN NaN NaN NaN 24.124 0.023 1948 8 NaN NaN NaN NaN NaN NaN 22.644 0.024 1948 9 NaN NaN NaN NaN NaN NaN 20.721 1.321 1948 10 NaN NaN NaN NaN NaN NaN 13.918 0.654 1948 11 NaN NaN NaN NaN NaN NaN 4.758 -1.807 1948 12 NaN NaN NaN NaN NaN NaN 3.364 1.219 1949 1 NaN NaN NaN NaN NaN NaN -2.513 -4.242 1949 2 NaN NaN NaN NaN NaN NaN 1.190 -2.797 1949 3 NaN NaN NaN NaN NaN NaN 6.063 -0.548 1949 4 NaN NaN NaN NaN NaN NaN 11.806 1.312