% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27435 % Primary Name: FRESNAL RANCH SCHOOL % Record Type: TAVG % Country: United States % State: AZ % Latitude: 31.81667 +/- 0.00833 % Longitude: -111.53333 +/- 0.00833 % Elevation (m): 1129.00 +/- 0.05 % # of Months: 116 % % Alternate Names: FRESNAL RCH SCHOOL % % IDs: coop - 23253 % ncdc - 20000857 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: cb074ec20059f16cea7c7894b552180e % Raw Data Hash: d4f78b90519f7747d93b79e47f4b222b % Adj Data Hash: ed293e467ca62de6d627ea383e39b428 % % 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 1930 1 NaN NaN NaN NaN NaN NaN 9.036 -0.047 1930 2 NaN NaN NaN NaN NaN NaN 12.434 2.028 1930 3 NaN NaN NaN NaN NaN NaN 11.904 -0.550 1930 4 NaN NaN NaN NaN NaN NaN 17.615 1.721 1930 5 NaN NaN NaN NaN NaN NaN 17.620 -2.626 1930 6 NaN NaN NaN NaN NaN NaN 25.671 0.120 1930 7 NaN NaN NaN NaN NaN NaN 26.474 -0.777 1930 8 NaN NaN NaN NaN NaN NaN 25.729 -0.156 1930 9 NaN NaN NaN NaN NaN NaN 23.862 -0.184 1930 10 NaN NaN NaN NaN NaN NaN 18.490 -0.471 1930 11 NaN NaN NaN NaN NaN NaN 12.499 -0.625 1930 12 NaN NaN NaN NaN NaN NaN 8.652 -0.918 1931 1 8.889 -1.044 0 0 8.889 -1.044 8.760 -0.324 1931 2 9.667 -1.588 0 0 9.667 -1.588 10.016 -0.391 1931 3 13.556 0.252 0 0 13.556 0.252 12.771 0.316 1931 4 17.889 1.146 0 0 17.889 1.146 16.900 1.006 1931 5 21.889 0.794 0 0 21.889 0.794 20.664 0.419 1931 6 25.778 -0.621 0 0 25.778 -0.621 25.615 0.065 1931 7 25.111 -2.988 0 0 25.111 -2.988 27.744 0.493 1931 8 NaN NaN NaN NaN NaN NaN 24.816 -1.069 1931 9 NaN NaN NaN NaN NaN NaN 24.766 0.719 1931 10 19.667 -0.143 0 0 19.667 -0.143 19.481 0.520 1931 11 10.667 -3.307 0 0 10.667 -3.307 11.388 -1.737 1931 12 9.333 -1.086 0 0 9.333 -1.086 8.751 -0.820 1932 1 5.889 -4.044 0 0 5.889 -4.044 6.573 -2.511 1932 2 10.222 -1.033 0 0 10.222 -1.033 10.946 0.540 1932 3 13.556 0.252 0 0 13.556 0.252 12.446 -0.009 1932 4 17.667 0.924 0 0 17.667 0.924 16.351 0.458 1932 5 21.167 0.072 0 0 21.167 0.072 19.391 -0.855 1932 6 26.000 -0.399 0 0 26.000 -0.399 25.225 -0.326 1932 7 28.111 0.012 0 0 28.111 0.012 26.845 -0.405 1932 8 26.333 -0.401 0 0 26.333 -0.401 25.822 -0.064 1932 9 25.333 0.438 0 0 25.333 0.438 24.902 0.855 1932 10 18.000 -1.810 0 0 18.000 -1.810 18.282 -0.679 1932 11 15.833 1.860 0 0 15.833 1.860 14.602 1.477 1932 12 7.667 -2.753 0 0 7.667 -2.753 8.057 -1.514 1933 1 8.000 -1.932 0 0 8.000 -1.932 8.164 -0.920 1933 2 8.111 -3.144 0 0 8.111 -3.144 7.882 -2.525 1933 3 15.056 1.752 0 0 15.056 1.752 13.296 0.841 1933 4 15.222 -1.520 0 0 15.222 -1.520 14.137 -1.757 1933 5 18.556 -2.539 0 0 18.556 -2.539 17.508 -2.738 1933 6 26.222 -0.177 0 0 26.222 -0.177 25.693 0.143 1933 7 28.389 0.289 0 0 28.389 0.289 27.873 0.622 1933 8 27.111 0.377 0 0 27.111 0.377 26.194 0.309 1933 9 26.000 1.104 0 0 26.000 1.104 25.592 1.545 1933 10 21.111 1.301 0 0 21.111 1.301 20.387 1.427 1933 11 15.333 1.360 0 0 15.333 1.360 14.475 1.351 1933 12 12.389 1.969 0 0 12.389 1.969 11.700 2.130 1934 1 9.444 -0.488 0 0 9.444 -0.488 9.422 0.338 1934 2 12.778 1.523 0 0 12.778 1.523 12.490 2.084 1934 3 17.944 4.641 0 0 17.944 4.641 15.858 3.403 1934 4 19.556 2.813 0 0 19.556 2.813 17.954 2.060 1934 5 23.722 2.628 0 0 23.722 2.628 22.016 1.770 1934 6 24.778 -1.621 0 0 24.778 -1.621 24.191 -1.359 1934 7 29.000 0.901 0 0 29.000 0.901 27.798 0.547 1934 8 26.778 0.044 0 0 26.778 0.044 25.072 -0.813 1934 9 25.556 0.660 0 0 25.556 0.660 24.570 0.523 1934 10 NaN NaN NaN NaN NaN NaN 20.389 1.428 1934 11 13.889 -0.084 0 0 13.889 -0.084 13.152 0.028 1934 12 11.000 0.580 0 0 11.000 0.580 11.055 1.484 1935 1 10.778 0.845 0 0 10.778 0.845 10.368 1.284 1935 2 10.889 -0.366 0 0 10.889 -0.366 10.575 0.168 1935 3 12.222 -1.081 0 0 12.222 -1.081 11.540 -0.914 1935 4 17.056 0.313 0 0 17.056 0.313 16.277 0.384 1935 5 18.556 -2.539 0 0 18.556 -2.539 17.355 -2.891 1935 6 NaN NaN NaN NaN NaN NaN 26.043 0.492 1935 7 NaN NaN NaN NaN NaN NaN 27.626 0.375 1935 8 NaN NaN NaN NaN NaN NaN 24.999 -0.886 1935 9 NaN NaN NaN NaN NaN NaN 23.905 -0.141 1935 10 19.000 -0.810 0 0 19.000 -0.810 18.790 -0.171 1935 11 12.333 -1.640 0 0 12.333 -1.640 12.038 -1.086 1935 12 10.111 -0.308 0 0 10.111 -0.308 9.965 0.395 1936 1 9.833 -0.099 0 0 9.833 -0.099 9.702 0.619 1936 2 9.667 -1.588 0 0 9.667 -1.588 10.178 -0.228 1936 3 14.333 1.030 0 0 14.333 1.030 13.280 0.825 1936 4 18.722 1.980 0 0 18.722 1.980 17.403 1.510 1936 5 23.056 1.961 0 0 23.056 1.961 21.553 1.307 1936 6 NaN NaN NaN NaN NaN NaN 26.780 1.230 1936 7 NaN NaN NaN NaN NaN NaN 27.913 0.662 1936 8 NaN NaN NaN NaN NaN NaN 25.755 -0.130 1936 9 NaN NaN NaN NaN NaN NaN 23.660 -0.387 1936 10 NaN NaN NaN NaN NaN NaN 18.881 -0.080 1936 11 NaN NaN NaN NaN NaN NaN 13.412 0.288 1936 12 NaN NaN NaN NaN NaN NaN 9.719 0.149 1937 1 NaN NaN NaN NaN NaN NaN 5.123 -3.960 1937 2 NaN NaN NaN NaN NaN NaN 10.294 -0.112 1937 3 12.944 -0.359 0 0 12.944 -0.359 11.515 -0.940 1937 4 17.500 0.758 0 0 17.500 0.758 16.072 0.179 1937 5 22.000 0.905 0 0 22.000 0.905 20.356 0.110 1937 6 25.722 -0.677 0 0 25.722 -0.677 25.230 -0.321 1937 7 28.111 0.012 0 0 28.111 0.012 27.685 0.435 1937 8 28.111 1.377 0 0 28.111 1.377 26.731 0.846 1937 9 25.500 0.604 0 0 25.500 0.604 25.362 1.315 1937 10 21.889 2.079 0 0 21.889 2.079 20.338 1.378 1937 11 16.000 2.027 0 0 16.000 2.027 14.496 1.371 1937 12 11.667 1.247 0 0 11.667 1.247 11.194 1.623 1938 1 10.833 0.901 0 0 10.833 0.901 10.553 1.469 1938 2 11.500 0.245 0 0 11.500 0.245 10.870 0.464 1938 3 12.889 -0.415 0 0 12.889 -0.415 12.123 -0.332 1938 4 17.889 1.146 0 0 17.889 1.146 16.141 0.247 1938 5 NaN NaN NaN NaN NaN NaN 19.463 -0.783 1938 6 NaN NaN NaN NaN NaN NaN 25.752 0.202 1938 7 NaN NaN NaN NaN NaN NaN 26.253 -0.997 1938 8 NaN NaN NaN NaN NaN NaN 25.536 -0.349 1938 9 NaN NaN NaN NaN NaN NaN 24.549 0.502 1938 10 20.889 1.079 0 0 20.889 1.079 19.365 0.404 1938 11 13.556 -0.418 0 0 13.556 -0.418 12.071 -1.053 1938 12 12.389 1.969 0 0 12.389 1.969 11.327 1.757 1939 1 9.667 -0.266 0 0 9.667 -0.266 9.092 0.008 1939 2 6.667 -4.588 0 0 6.667 -4.588 6.361 -4.046 1939 3 14.667 1.363 0 0 14.667 1.363 13.101 0.647 1939 4 19.389 2.646 0 0 19.389 2.646 17.410 1.517 1939 5 23.444 2.350 0 0 23.444 2.350 20.687 0.441 1939 6 28.389 1.990 0 0 28.389 1.990 26.313 0.762 1939 7 NaN NaN NaN NaN NaN NaN 27.141 -0.109 1939 8 NaN NaN NaN NaN NaN NaN 25.184 -0.702 1939 9 NaN NaN NaN NaN NaN NaN 23.962 -0.085 1939 10 19.111 -0.699 0 0 19.111 -0.699 18.109 -0.851 1939 11 15.611 1.638 0 0 15.611 1.638 14.339 1.214 1939 12 14.889 4.469 0 0 14.889 4.469 12.955 3.384 1940 1 11.889 1.956 0 0 11.889 1.956 10.628 1.545 1940 2 11.333 0.078 0 0 11.333 0.078 10.466 0.059 1940 3 15.444 2.141 0 0 15.444 2.141 13.896 1.441 1940 4 19.000 2.258 0 0 19.000 2.258 16.642 0.748 1940 5 24.444 3.350 0 0 24.444 3.350 21.524 1.279 1940 6 28.278 1.879 0 0 28.278 1.879 25.905 0.354 1940 7 28.833 0.734 0 0 28.833 0.734 27.432 0.182 1940 8 26.889 0.155 0 0 26.889 0.155 25.477 -0.408 1940 9 24.722 -0.173 0 0 24.722 -0.173 24.568 0.521 1940 10 19.667 -0.143 0 0 19.667 -0.143 19.318 0.357 1940 11 12.833 -1.140 0 0 12.833 -1.140 12.262 -0.862 1940 12 12.556 2.136 0 0 12.556 2.136 12.299 2.728 1941 1 9.778 -0.155 0 0 9.778 -0.155 9.795 0.711 1941 2 11.889 0.634 0 0 11.889 0.634 11.543 1.136 1941 3 12.556 -0.748 0 0 12.556 -0.748 11.861 -0.594 1941 4 14.000 -2.742 0 0 14.000 -2.742 13.407 -2.486 1941 5 21.222 0.128 0 0 21.222 0.128 19.736 -0.510 1941 6 24.889 -1.510 0 0 24.889 -1.510 24.180 -1.370 1941 7 27.167 -0.933 0 0 27.167 -0.933 26.987 -0.264 1941 8 25.667 -1.067 0 0 25.667 -1.067 24.751 -1.134 1941 9 24.111 -0.785 0 0 24.111 -0.785 23.757 -0.290 1941 10 17.889 -1.921 0 0 17.889 -1.921 17.518 -1.442 1941 11 15.333 1.360 0 0 15.333 1.360 13.986 0.862 1941 12 11.667 1.247 0 0 11.667 1.247 10.416 0.846 1942 1 11.444 1.512 0 0 11.444 1.512 10.619 1.535 1942 2 10.222 -1.033 0 0 10.222 -1.033 9.151 -1.255 1942 3 12.556 -0.748 0 0 12.556 -0.748 11.265 -1.190 1942 4 16.556 -0.187 0 0 16.556 -0.187 15.108 -0.785 1942 5 21.222 0.128 0 0 21.222 0.128 19.631 -0.615 1942 6 26.778 0.379 0 0 26.778 0.379 25.746 0.195 1942 7 29.556 1.456 0 0 29.556 1.456 28.536 1.286 1942 8 26.833 0.099 0 0 26.833 0.099 25.459 -0.426 1942 9 NaN NaN NaN NaN NaN NaN 24.959 0.912 1942 10 NaN NaN NaN NaN NaN NaN 18.558 -0.403 1942 11 NaN NaN NaN NaN NaN NaN 15.183 2.059 1942 12 NaN NaN NaN NaN NaN NaN 11.099 1.528 1943 1 NaN NaN NaN NaN NaN NaN 10.309 1.225 1943 2 NaN NaN NaN NaN NaN NaN 12.546 2.140 1943 3 NaN NaN NaN NaN NaN NaN 13.985 1.530 1943 4 NaN NaN NaN NaN NaN NaN 18.448 2.555 1943 5 NaN NaN NaN NaN NaN NaN 21.182 0.936 1943 6 NaN NaN NaN NaN NaN NaN 25.768 0.218 1943 7 NaN NaN NaN NaN NaN NaN 27.599 0.348 1943 8 NaN NaN NaN NaN NaN NaN 25.209 -0.676