% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28923 % Primary Name: BANNING MUNI % Record Type: TAVG % Country: United States % State: CA % Latitude: 33.91667 +/- 0.00833 % Longitude: -116.86667 +/- 0.00833 % Elevation (m): 705.00 +/- 0.05 % # of Months: 137 % % Alternate Names: BANNING % % IDs: coop - 40489 % faa - BNG % icao - KBNG % ncdc - 20001620 % nws - BNG % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 0b230c67bc308976591fc5961134a004 % Raw Data Hash: 052d6efa360320332b40d68a4676740c % Adj Data Hash: ec89011bffbb82348d35cf68759c2db3 % % 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 1932 6 NaN NaN NaN NaN NaN NaN 23.864 -0.972 1932 7 NaN NaN NaN NaN NaN NaN 27.881 -0.870 1932 8 NaN NaN NaN NaN NaN NaN 26.889 -0.873 1932 9 NaN NaN NaN NaN NaN NaN 25.183 0.812 1932 10 NaN NaN NaN NaN NaN NaN 18.239 -0.146 1932 11 NaN NaN NaN NaN NaN NaN 14.400 2.473 1932 12 NaN NaN NaN NaN NaN NaN 5.575 -2.348 1933 1 NaN NaN NaN NaN NaN NaN 5.736 -1.897 1933 2 NaN NaN NaN NaN NaN NaN 7.323 -2.610 1933 3 NaN NaN NaN NaN NaN NaN 12.185 0.155 1933 4 NaN NaN NaN NaN NaN NaN 13.922 -1.463 1933 5 NaN NaN NaN NaN NaN NaN 16.731 -3.201 1933 6 21.889 -2.533 0 0 21.889 -2.533 23.704 -1.131 1933 7 27.889 -0.449 0 0 27.889 -0.449 29.902 1.151 1933 8 26.944 -0.404 0 0 26.944 -0.404 27.551 -0.211 1933 9 22.778 -1.180 0 0 22.778 -1.180 23.899 -0.473 1933 10 21.000 3.029 0 0 21.000 3.029 21.285 2.900 1933 11 15.889 4.375 0 0 15.889 4.375 13.949 2.021 1933 12 10.833 3.324 0 0 10.833 3.324 8.796 0.873 1934 1 11.333 4.114 0 0 11.333 4.114 9.677 2.044 1934 2 12.444 2.924 0 0 12.444 2.924 11.998 2.065 1934 3 17.556 5.939 0 0 17.556 5.939 17.064 5.034 1934 4 17.778 2.806 0 0 17.778 2.806 18.859 3.473 1934 5 21.111 1.593 0 0 21.111 1.593 22.262 2.330 1934 6 19.556 -4.866 0 0 19.556 -4.866 22.345 -2.490 1934 7 26.444 -1.894 0 0 26.444 -1.894 29.415 0.664 1934 8 26.222 -1.126 0 0 26.222 -1.126 27.886 0.124 1934 9 23.111 -0.847 0 0 23.111 -0.847 24.662 0.291 1934 10 18.778 0.806 0 0 18.778 0.806 19.430 1.045 1934 11 13.611 2.097 0 0 13.611 2.097 12.917 0.990 1934 12 11.278 3.768 0 0 11.278 3.768 9.052 1.129 1935 1 8.889 1.670 0 0 8.889 1.670 7.721 0.089 1935 2 10.222 0.702 0 0 10.222 0.702 10.676 0.743 1935 3 9.278 -2.339 0 0 9.278 -2.339 9.629 -2.401 1935 4 13.556 -1.416 0 0 13.556 -1.416 15.121 -0.264 1935 5 15.333 -4.185 0 0 15.333 -4.185 18.437 -1.495 1935 6 22.833 -1.589 0 0 22.833 -1.589 25.768 0.933 1935 7 25.222 -3.116 0 0 25.222 -3.116 27.835 -0.917 1935 8 26.611 -0.737 0 0 26.611 -0.737 27.685 -0.077 1935 9 24.444 0.486 0 0 24.444 0.486 25.441 1.070 1935 10 17.444 -0.527 0 0 17.444 -0.527 17.671 -0.714 1935 11 12.222 0.708 0 0 12.222 0.708 10.718 -1.209 1935 12 10.444 2.935 0 0 10.444 2.935 8.433 0.510 1936 1 10.778 3.559 0 0 10.778 3.559 9.002 1.369 1936 2 9.667 0.147 0 0 9.667 0.147 9.496 -0.438 1936 3 12.667 1.050 0 0 12.667 1.050 13.373 1.343 1936 4 15.333 0.361 0 0 15.333 0.361 17.009 1.623 1936 5 19.000 -0.518 0 0 19.000 -0.518 21.197 1.265 1936 6 24.000 -0.422 0 0 24.000 -0.422 25.738 0.903 1936 7 27.111 -1.227 0 0 27.111 -1.227 29.500 0.748 1936 8 27.000 -0.349 0 0 27.000 -0.349 28.087 0.325 1936 9 23.556 -0.403 0 0 23.556 -0.403 24.304 -0.068 1936 10 18.500 0.529 0 0 18.500 0.529 18.550 0.165 1936 11 14.278 2.764 0 0 14.278 2.764 12.961 1.034 1936 12 9.444 1.935 0 0 9.444 1.935 7.543 -0.380 1937 1 2.778 -4.441 1 0 NaN NaN 1.851 -5.781 1937 2 8.778 -0.742 0 0 8.778 -0.742 8.585 -1.348 1937 3 11.000 -0.617 0 0 11.000 -0.617 11.061 -0.969 1937 4 13.778 -1.194 0 0 13.778 -1.194 14.967 -0.418 1937 5 18.889 -0.630 0 0 18.889 -0.630 20.755 0.823 1937 6 22.778 -1.644 0 0 22.778 -1.644 24.647 -0.189 1937 7 27.111 -1.227 0 0 27.111 -1.227 29.370 0.619 1937 8 27.667 0.318 0 0 27.667 0.318 28.560 0.798 1937 9 24.889 0.931 0 0 24.889 0.931 26.233 1.861 1937 10 20.111 2.140 0 0 20.111 2.140 19.982 1.598 1937 11 14.111 2.597 0 0 14.111 2.597 13.321 1.393 1937 12 12.889 5.379 0 0 12.889 5.379 10.175 2.252 1938 1 11.556 4.336 0 0 11.556 4.336 9.670 2.037 1938 2 9.444 -0.076 0 0 9.444 -0.076 8.980 -0.953 1938 3 10.667 -0.950 0 0 10.667 -0.950 10.180 -1.850 1938 4 14.111 -0.861 0 0 14.111 -0.861 15.436 0.051 1938 5 17.000 -2.518 0 0 17.000 -2.518 19.631 -0.301 1938 6 21.222 -3.200 0 0 21.222 -3.200 24.247 -0.588 1938 7 26.222 -2.116 0 0 26.222 -2.116 28.638 -0.114 1938 8 26.222 -1.126 0 0 26.222 -1.126 27.664 -0.098 1938 9 25.111 1.153 0 0 25.111 1.153 26.052 1.680 1938 10 17.333 -0.638 0 0 17.333 -0.638 17.608 -0.776 1938 11 12.778 1.264 0 0 12.778 1.264 10.320 -1.607 1938 12 12.222 4.712 0 0 12.222 4.712 9.726 1.803 1939 1 9.333 2.114 0 0 9.333 2.114 8.000 0.368 1939 2 7.167 -2.353 0 0 7.167 -2.353 6.804 -3.129 1939 3 12.000 0.383 0 0 12.000 0.383 11.803 -0.227 1939 4 16.667 1.695 0 0 16.667 1.695 17.469 2.084 1939 5 18.389 -1.130 0 0 18.389 -1.130 20.489 0.557 1939 6 23.167 -1.255 0 0 23.167 -1.255 24.640 -0.196 1939 7 26.778 -1.560 0 0 26.778 -1.560 29.095 0.343 1939 8 27.889 0.540 0 0 27.889 0.540 28.592 0.830 1939 9 22.778 -1.180 0 0 22.778 -1.180 23.760 -0.611 1939 10 18.444 0.473 0 0 18.444 0.473 18.133 -0.251 1939 11 15.333 3.820 0 0 15.333 3.820 14.110 2.183 1939 12 13.667 6.157 0 0 13.667 6.157 10.642 2.719 1940 1 11.000 3.781 0 0 11.000 3.781 9.587 1.955 1940 2 10.667 1.147 0 0 10.667 1.147 10.271 0.338 1940 3 14.000 2.383 0 0 14.000 2.383 13.640 1.610 1940 4 15.056 0.084 0 0 15.056 0.084 16.316 0.931 1940 5 20.000 0.482 0 0 20.000 0.482 22.200 2.268 1940 6 23.222 -1.200 0 0 23.222 -1.200 26.511 1.676 1940 7 25.556 -2.783 0 0 25.556 -2.783 28.168 -0.583 1940 8 26.222 -1.126 0 0 26.222 -1.126 28.047 0.285 1940 9 22.444 -1.514 0 0 22.444 -1.514 23.158 -1.214 1940 10 18.833 0.862 0 0 18.833 0.862 19.195 0.810 1940 11 13.333 1.820 0 0 13.333 1.820 11.136 -0.791 1940 12 12.056 4.546 0 0 12.056 4.546 9.575 1.652 1941 1 9.667 2.447 0 0 9.667 2.447 8.600 0.967 1941 2 11.222 1.702 0 0 11.222 1.702 11.285 1.352 1941 3 12.611 0.995 0 0 12.611 0.995 11.810 -0.220 1941 4 12.778 -2.194 0 0 12.778 -2.194 13.105 -2.280 1941 5 19.500 -0.018 0 0 19.500 -0.018 20.643 0.711 1941 6 20.333 -4.089 0 0 20.333 -4.089 22.843 -1.992 1941 7 25.889 -2.449 0 0 25.889 -2.449 28.539 -0.213 1941 8 23.389 -3.960 0 0 23.389 -3.960 25.487 -2.275 1941 9 20.278 -3.680 0 0 20.278 -3.680 21.673 -2.698 1941 10 16.167 -1.805 0 0 16.167 -1.805 16.287 -2.097 1941 11 15.444 3.931 0 0 15.444 3.931 12.791 0.864 1941 12 9.556 2.046 0 0 9.556 2.046 7.874 -0.049 1942 1 10.556 3.336 0 0 10.556 3.336 8.572 0.940 1942 2 8.778 -0.742 0 0 8.778 -0.742 8.444 -1.490 1942 3 11.389 -0.228 0 0 11.389 -0.228 11.125 -0.905 1942 4 13.222 -1.750 0 0 13.222 -1.750 14.602 -0.783 1942 5 17.000 -2.518 0 0 17.000 -2.518 18.791 -1.141 1942 6 21.667 -2.755 0 0 21.667 -2.755 24.546 -0.290 1942 7 27.889 -0.449 0 0 27.889 -0.449 30.405 1.654 1942 8 25.889 -1.460 0 0 25.889 -1.460 27.747 -0.015 1942 9 21.667 -2.291 0 0 21.667 -2.291 23.431 -0.941 1942 10 18.000 0.029 0 0 18.000 0.029 19.058 0.674 1942 11 15.222 3.708 0 0 15.222 3.708 13.189 1.262 1942 12 11.778 4.268 0 0 11.778 4.268 9.409 1.486 1943 1 10.611 3.392 0 0 10.611 3.392 8.484 0.851 1943 2 12.500 2.980 0 0 12.500 2.980 11.242 1.309 1943 3 13.000 1.383 0 0 13.000 1.383 13.217 1.187 1943 4 15.889 0.917 0 0 15.889 0.917 16.815 1.430 1943 5 19.278 -0.241 0 0 19.278 -0.241 21.188 1.256 1943 6 20.889 -3.533 0 0 20.889 -3.533 22.591 -2.244 1943 7 26.056 -2.283 0 0 26.056 -2.283 28.382 -0.369 1943 8 26.000 -1.349 0 0 26.000 -1.349 27.108 -0.654 1943 9 25.222 1.264 0 0 25.222 1.264 26.011 1.640 1943 10 19.000 1.029 0 0 19.000 1.029 19.245 0.860 1943 11 15.111 3.597 0 0 15.111 3.597 12.277 0.350 1943 12 10.000 2.490 0 0 10.000 2.490 7.773 -0.150 1944 1 9.889 2.670 0 0 9.889 2.670 7.186 -0.446 1944 2 8.222 -1.298 0 0 8.222 -1.298 7.729 -2.204 1944 3 12.111 0.495 0 0 12.111 0.495 11.032 -0.998 1944 4 13.222 -1.750 0 0 13.222 -1.750 13.750 -1.635 1944 5 17.222 -2.296 0 0 17.222 -2.296 19.233 -0.699 1944 6 18.556 -5.866 0 0 18.556 -5.866 20.989 -3.846 1944 7 24.000 -4.338 0 0 24.000 -4.338 26.938 -1.813 1944 8 26.667 -0.682 0 0 26.667 -0.682 27.275 -0.487 1944 9 23.333 -0.625 0 0 23.333 -0.625 24.809 0.437 1944 10 19.389 1.418 0 0 19.389 1.418 19.207 0.823 1944 11 NaN NaN NaN NaN NaN NaN 10.637 -1.290 1944 12 NaN NaN NaN NaN NaN NaN 8.385 0.462 1945 1 NaN NaN NaN NaN NaN NaN 7.940 0.307 1945 2 NaN NaN NaN NaN NaN NaN 9.927 -0.006 1945 3 NaN NaN NaN NaN NaN NaN 9.196 -2.834 1945 4 NaN NaN NaN NaN NaN NaN 15.056 -0.330 1945 5 NaN NaN NaN NaN NaN NaN 19.203 -0.729 1945 6 NaN NaN NaN NaN NaN NaN 23.557 -1.278 1945 7 NaN NaN NaN NaN NaN NaN 29.838 1.087 1945 8 NaN NaN NaN NaN NaN NaN 27.105 -0.657 1945 9 NaN NaN NaN NaN NaN NaN 25.095 0.723 1945 10 NaN NaN NaN NaN NaN NaN 19.085 0.700