% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28516 % Primary Name: TEMPE DATE ORCHARD % Record Type: TAVG % Country: United States % State: AZ % Latitude: 33.38333 +/- 0.00833 % Longitude: -111.93333 +/- 0.00833 % Elevation (m): 360.00 +/- 0.05 % # of Months: 156 % % IDs: coop - 28496 % % Sources: US Cooperative Summary of the Month % % Site Hash: b1594639805ecb101614d4e223036a10 % Raw Data Hash: f745aaa04d332dc8c01a89be6536f0b0 % Adj Data Hash: d58fed4bf8f4d9a19839a784b5e80671 % % 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 10.413 -0.171 1930 2 NaN NaN NaN NaN NaN NaN 15.135 2.402 1930 3 NaN NaN NaN NaN NaN NaN 14.836 -0.364 1930 4 NaN NaN NaN NaN NaN NaN 21.064 1.939 1930 5 NaN NaN NaN NaN NaN NaN 20.990 -3.090 1930 6 NaN NaN NaN NaN NaN NaN 29.208 -0.149 1930 7 NaN NaN NaN NaN NaN NaN 32.112 -0.393 1930 8 NaN NaN NaN NaN NaN NaN 30.670 -0.621 1930 9 NaN NaN NaN NaN NaN NaN 27.664 -0.867 1930 10 NaN NaN NaN NaN NaN NaN 21.178 -1.008 1930 11 NaN NaN NaN NaN NaN NaN 15.264 0.071 1930 12 NaN NaN NaN NaN NaN NaN 10.550 -0.441 1931 1 9.556 0.494 0 0 9.556 0.494 10.838 0.254 1931 2 12.778 1.568 0 0 12.778 1.568 13.575 0.842 1931 3 14.556 0.879 0 0 14.556 0.879 15.567 0.367 1931 4 20.444 2.843 0 0 20.444 2.843 20.809 1.685 1931 5 25.222 2.665 0 0 25.222 2.665 25.116 1.036 1931 6 28.889 1.055 0 0 28.889 1.055 29.157 -0.199 1931 7 33.778 2.796 0 0 33.778 2.796 33.960 1.455 1931 8 30.556 0.788 0 0 30.556 0.788 30.271 -1.020 1931 9 28.000 0.991 0 0 28.000 0.991 29.180 0.649 1931 10 20.111 -0.552 0 0 20.111 -0.552 22.097 -0.090 1931 11 12.111 -1.560 0 0 12.111 -1.560 13.536 -1.658 1931 12 8.167 -1.302 0 0 8.167 -1.302 9.616 -1.376 1932 1 6.056 -3.006 0 0 6.056 -3.006 7.542 -3.043 1932 2 12.000 0.790 0 0 12.000 0.790 13.064 0.331 1932 3 14.000 0.323 0 0 14.000 0.323 15.173 -0.027 1932 4 18.333 0.732 0 0 18.333 0.732 19.084 -0.040 1932 5 22.667 0.110 0 0 22.667 0.110 23.348 -0.731 1932 6 27.111 -0.723 0 0 27.111 -0.723 28.322 -1.034 1932 7 31.111 0.129 0 0 31.111 0.129 32.477 -0.028 1932 8 31.167 1.399 0 0 31.167 1.399 31.547 0.256 1932 9 27.889 0.880 0 0 27.889 0.880 29.814 1.283 1932 10 19.444 -1.219 0 0 19.444 -1.219 21.590 -0.597 1932 11 14.056 0.385 0 0 14.056 0.385 16.628 1.434 1932 12 7.556 -1.913 0 0 7.556 -1.913 9.309 -1.682 1933 1 7.500 -1.561 0 0 7.500 -1.561 9.121 -1.463 1933 2 7.667 -3.543 0 0 7.667 -3.543 9.591 -3.142 1933 3 12.556 -1.121 0 0 12.556 -1.121 15.233 0.033 1933 4 15.278 -2.324 0 0 15.278 -2.324 17.012 -2.112 1933 5 19.778 -2.779 0 0 19.778 -2.779 21.026 -3.054 1933 6 27.833 -0.000 0 0 27.833 -0.000 29.389 0.032 1933 7 32.833 1.851 0 0 32.833 1.851 33.962 1.457 1933 8 31.667 1.899 0 0 31.667 1.899 31.842 0.552 1933 9 28.222 1.214 0 0 28.222 1.214 30.167 1.635 1933 10 22.111 1.448 0 0 22.111 1.448 24.477 2.291 1933 11 13.889 0.218 0 0 13.889 0.218 16.367 1.173 1933 12 9.333 -0.135 0 0 9.333 -0.135 11.869 0.878 1934 1 9.556 0.494 0 0 9.556 0.494 11.528 0.944 1934 2 12.778 1.568 0 0 12.778 1.568 15.064 2.331 1934 3 17.444 3.767 0 0 17.444 3.767 19.353 4.153 1934 4 20.889 3.288 0 0 20.889 3.288 22.211 3.087 1934 5 25.778 3.221 0 0 25.778 3.221 26.733 2.654 1934 6 26.333 -1.500 0 0 26.333 -1.500 27.363 -1.994 1934 7 32.167 1.185 0 0 32.167 1.185 33.579 1.074 1934 8 30.778 1.010 0 0 30.778 1.010 30.872 -0.419 1934 9 27.000 -0.009 0 0 27.000 -0.009 28.710 0.178 1934 10 20.944 0.281 0 0 20.944 0.281 23.427 1.240 1934 11 13.500 -0.171 0 0 13.500 -0.171 15.528 0.334 1934 12 10.778 1.309 0 0 10.778 1.309 12.486 1.495 1935 1 10.444 1.383 0 0 10.444 1.383 11.660 1.075 1935 2 12.056 0.845 0 0 12.056 0.845 13.695 0.962 1935 3 11.889 -1.788 0 0 11.889 -1.788 13.321 -1.879 1935 4 17.778 0.176 0 0 17.778 0.176 19.260 0.135 1935 5 21.222 -1.335 0 0 21.222 -1.335 21.572 -2.508 1935 6 28.889 1.055 0 0 28.889 1.055 30.062 0.706 1935 7 30.778 -0.204 0 0 30.778 -0.204 32.442 -0.063 1935 8 29.611 -0.157 0 0 29.611 -0.157 30.152 -1.138 1935 9 26.556 -0.453 0 0 26.556 -0.453 28.720 0.189 1935 10 19.611 -1.052 0 0 19.611 -1.052 21.857 -0.330 1935 11 11.222 -2.449 0 0 11.222 -2.449 13.433 -1.761 1935 12 10.111 0.643 0 0 10.111 0.643 11.493 0.502 1936 1 8.333 -0.728 0 0 8.333 -0.728 10.657 0.073 1936 2 10.889 -0.321 0 0 10.889 -0.321 12.582 -0.151 1936 3 15.111 1.434 0 0 15.111 1.434 16.399 1.199 1936 4 19.833 2.232 0 0 19.833 2.232 21.137 2.013 1936 5 25.333 2.777 0 0 25.333 2.777 25.838 1.759 1936 6 29.889 2.055 0 0 29.889 2.055 31.004 1.647 1936 7 31.556 0.573 0 0 31.556 0.573 33.205 0.700 1936 8 31.056 1.288 0 0 31.056 1.288 31.320 0.029 1936 9 26.222 -0.786 0 0 26.222 -0.786 28.148 -0.383 1936 10 19.833 -0.830 0 0 19.833 -0.830 22.389 0.203 1936 11 14.333 0.663 0 0 14.333 0.663 16.101 0.908 1936 12 9.333 -0.135 0 0 9.333 -0.135 11.295 0.304 1937 1 4.556 -4.506 0 0 4.556 -4.506 5.915 -4.670 1937 2 10.333 -0.877 0 0 10.333 -0.877 12.145 -0.588 1937 3 13.000 -0.677 0 0 13.000 -0.677 14.516 -0.684 1937 4 17.167 -0.435 0 0 17.167 -0.435 18.810 -0.314 1937 5 24.000 1.443 0 0 24.000 1.443 24.457 0.377 1937 6 27.611 -0.223 0 0 27.611 -0.223 28.841 -0.516 1937 7 31.556 0.573 0 0 31.556 0.573 32.924 0.419 1937 8 31.000 1.232 0 0 31.000 1.232 32.105 0.814 1937 9 27.889 0.880 0 0 27.889 0.880 30.224 1.692 1937 10 14.944 -5.719 1 0 NaN NaN 23.458 1.271 1937 11 13.444 -0.226 0 0 13.444 -0.226 16.139 0.946 1937 12 11.333 1.865 0 0 11.333 1.865 13.162 2.171 1938 1 10.056 0.994 0 0 10.056 0.994 12.001 1.416 1938 2 11.278 0.068 0 0 11.278 0.068 12.894 0.161 1938 3 12.778 -0.899 0 0 12.778 -0.899 14.210 -0.990 1938 4 17.889 0.288 0 0 17.889 0.288 19.341 0.217 1938 5 22.778 0.221 0 0 22.778 0.221 23.485 -0.595 1938 6 27.833 -0.000 0 0 27.833 -0.000 29.027 -0.330 1938 7 30.222 -0.760 0 0 30.222 -0.760 31.868 -0.637 1938 8 30.111 0.343 0 0 30.111 0.343 30.747 -0.544 1938 9 27.500 0.491 0 0 27.500 0.491 29.922 1.390 1938 10 18.889 -1.775 0 0 18.889 -1.775 21.981 -0.206 1938 11 10.111 -3.560 0 0 10.111 -3.560 12.857 -2.336 1938 12 10.389 0.920 0 0 10.389 0.920 12.535 1.544 1939 1 9.000 -0.061 0 0 9.000 -0.061 10.762 0.177 1939 2 7.000 -4.210 0 0 7.000 -4.210 8.530 -4.203 1939 3 14.444 0.767 0 0 14.444 0.767 15.651 0.451 1939 4 19.778 2.176 0 0 19.778 2.176 20.982 1.858 1939 5 23.889 1.332 0 0 23.889 1.332 24.710 0.630 1939 6 28.000 0.166 0 0 28.000 0.166 29.269 -0.087 1939 7 31.722 0.740 0 0 31.722 0.740 33.023 0.518 1939 8 30.444 0.677 0 0 30.444 0.677 31.139 -0.151 1939 9 26.444 -0.564 0 0 26.444 -0.564 28.260 -0.271 1939 10 19.444 -1.219 0 0 19.444 -1.219 21.356 -0.831 1939 11 15.778 2.107 0 0 15.778 2.107 17.389 2.196 1939 12 11.333 1.865 0 0 11.333 1.865 13.834 2.843 1940 1 10.889 1.827 0 0 10.889 1.827 12.651 2.067 1940 2 11.333 0.123 0 0 11.333 0.123 13.016 0.283 1940 3 15.333 1.656 0 0 15.333 1.656 16.855 1.655 1940 4 19.111 1.510 0 0 19.111 1.510 20.182 1.058 1940 5 25.778 3.221 0 0 25.778 3.221 26.247 2.167 1940 6 29.667 1.833 0 0 29.667 1.833 30.783 1.426 1940 7 31.722 0.740 0 0 31.722 0.740 32.942 0.437 1940 8 31.000 1.232 0 0 31.000 1.232 31.552 0.262 1940 9 27.444 0.436 0 0 27.444 0.436 29.192 0.661 1940 10 20.778 0.114 0 0 20.778 0.114 22.811 0.625 1940 11 12.722 -0.949 0 0 12.722 -0.949 14.367 -0.826 1940 12 12.167 2.698 0 0 12.167 2.698 13.516 2.524 1941 1 10.944 1.883 0 0 10.944 1.883 11.888 1.304 1941 2 12.833 1.623 0 0 12.833 1.623 14.217 1.484 1941 3 13.333 -0.344 0 0 13.333 -0.344 14.485 -0.715 1941 4 15.778 -1.824 0 0 15.778 -1.824 16.368 -2.756 1941 5 23.222 0.665 0 0 23.222 0.665 23.755 -0.325 1941 6 26.389 -1.445 0 0 26.389 -1.445 27.450 -1.906 1941 7 30.500 -0.482 0 0 30.500 -0.482 32.005 -0.500 1941 8 29.111 -0.657 0 0 29.111 -0.657 29.647 -1.643 1941 9 24.889 -2.120 0 0 24.889 -2.120 27.047 -1.485 1941 10 18.000 -2.663 0 0 18.000 -2.663 20.197 -1.989 1941 11 14.333 0.663 0 0 14.333 0.663 16.214 1.021 1941 12 10.000 0.532 0 0 10.000 0.532 11.771 0.780 1942 1 10.111 1.050 0 0 10.111 1.050 11.674 1.090 1942 2 9.333 -1.877 0 0 9.333 -1.877 11.036 -1.697 1942 3 12.611 -1.066 0 0 12.611 -1.066 13.870 -1.330 1942 4 16.778 -0.824 0 0 16.778 -0.824 18.405 -0.719 1942 5 21.667 -0.890 0 0 21.667 -0.890 23.144 -0.936 1942 6 26.667 -1.167 0 0 26.667 -1.167 28.851 -0.505 1942 7 30.778 -0.204 0 0 30.778 -0.204 33.800 1.295 1942 8 29.167 -0.601 0 0 29.167 -0.601 30.603 -0.688 1942 9 26.444 -0.564 0 0 26.444 -0.564 29.222 0.691 1942 10 19.667 -0.997 0 0 19.667 -0.997 22.108 -0.078 1942 11 14.333 0.663 0 0 14.333 0.663 16.995 1.802 1942 12 10.333 0.865 0 0 10.333 0.865 12.599 1.608 1943 1 9.444 0.383 0 0 9.444 0.383 11.520 0.935 1943 2 12.556 1.345 0 0 12.556 1.345 14.734 2.001 1943 3 15.278 1.601 0 0 15.278 1.601 16.608 1.408 1943 4 19.556 1.954 0 0 19.556 1.954 21.400 2.276 1943 5 23.333 0.777 0 0 23.333 0.777 25.045 0.965 1943 6 27.333 -0.500 0 0 27.333 -0.500 28.815 -0.541 1943 7 31.222 0.240 0 0 31.222 0.240 33.186 0.681 1943 8 29.556 -0.212 0 0 29.556 -0.212 30.511 -0.779 1943 9 27.778 0.769 0 0 27.778 0.769 29.762 1.230 1943 10 20.167 -0.497 0 0 20.167 -0.497 22.696 0.510 1943 11 13.889 0.218 0 0 13.889 0.218 16.047 0.853 1943 12 10.333 0.865 0 0 10.333 0.865 11.644 0.653 1944 1 NaN NaN NaN NaN NaN NaN 10.158 -0.426 1944 2 NaN NaN NaN NaN NaN NaN 11.070 -1.663 1944 3 NaN NaN NaN NaN NaN NaN 13.477 -1.722 1944 4 NaN NaN NaN NaN NaN NaN 17.457 -1.667 1944 5 NaN NaN NaN NaN NaN NaN 23.309 -0.770 1944 6 NaN NaN NaN NaN NaN NaN 26.851 -2.505 1944 7 NaN NaN NaN NaN NaN NaN 32.043 -0.462 1944 8 NaN NaN NaN NaN NaN NaN 31.900 0.610 1944 9 NaN NaN NaN NaN NaN NaN 28.761 0.229 1944 10 NaN NaN NaN NaN NaN NaN 23.607 1.420 1944 11 NaN NaN NaN NaN NaN NaN 13.763 -1.430 1944 12 NaN NaN NaN NaN NaN NaN 11.433 0.442