% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31646 % Primary Name: CLOVIS % Record Type: TAVG % Country: United States % State: CA % Latitude: 36.86667 +/- 0.00833 % Longitude: -119.71667 +/- 0.00833 % Elevation (m): 121.90 +/- 0.05 % # of Months: 200 % % IDs: coop - 41851 % ncdc - 20002287 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: f649a44ceadef9c3c2236503ed26fd05 % Raw Data Hash: 59cf4654ed8946dd38ea2b840d3eca74 % Adj Data Hash: ca64b83ed162a644e16069be811ef1aa % % 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 6.188 -0.485 1930 2 NaN NaN NaN NaN NaN NaN 11.387 2.314 1930 3 NaN NaN NaN NaN NaN NaN 11.300 0.510 1930 4 NaN NaN NaN NaN NaN NaN 14.980 1.366 1930 5 NaN NaN NaN NaN NaN NaN 15.191 -2.850 1930 6 NaN NaN NaN NaN NaN NaN 22.767 0.262 1930 7 NaN NaN NaN NaN NaN NaN 26.294 0.049 1930 8 NaN NaN NaN NaN NaN NaN 24.647 -0.662 1930 9 NaN NaN NaN NaN NaN NaN 19.949 -2.455 1930 10 NaN NaN NaN NaN NaN NaN 16.435 -0.607 1930 11 NaN NaN NaN NaN NaN NaN 11.175 0.265 1930 12 NaN NaN NaN NaN NaN NaN 5.985 -0.851 1931 1 8.778 1.186 0 0 8.074 0.483 7.441 0.768 1931 2 10.778 0.786 0 0 10.427 0.436 10.191 1.118 1931 3 12.000 0.293 0 0 11.740 0.032 11.994 1.205 1931 4 17.833 3.301 0 0 17.640 3.107 16.242 2.628 1931 5 22.444 3.486 0 0 22.429 3.470 21.056 3.015 1931 6 23.333 -0.090 0 0 23.348 -0.075 21.149 -1.356 1931 7 30.556 3.392 0 0 30.377 3.213 29.303 3.057 1931 8 28.833 2.606 0 0 28.532 2.305 26.874 1.565 1931 9 21.611 -1.712 0 0 21.305 -2.018 21.107 -1.298 1931 10 17.778 -0.182 0 0 17.260 -0.699 16.837 -0.204 1931 11 10.556 -1.273 0 0 9.631 -2.198 9.253 -1.657 1931 12 7.333 -0.421 0 0 6.292 -1.462 5.808 -1.027 1932 1 6.111 -1.480 0 0 5.408 -2.183 4.620 -2.053 1932 2 9.444 -0.547 0 0 9.094 -0.897 8.269 -0.804 1932 3 13.167 1.459 0 0 12.906 1.199 11.609 0.820 1932 4 14.222 -0.310 0 0 14.028 -0.504 12.855 -0.759 1932 5 19.889 0.930 0 0 19.873 0.914 18.143 0.103 1932 6 24.778 1.355 0 0 24.793 1.370 22.706 0.202 1932 7 25.833 -1.331 0 0 25.655 -1.509 25.574 -0.672 1932 8 26.333 0.106 0 0 26.032 -0.195 24.605 -0.704 1932 9 24.778 1.455 0 0 24.471 1.148 23.974 1.569 1932 10 17.556 -0.404 0 0 17.038 -0.921 16.989 -0.052 1932 11 14.278 2.449 0 0 13.353 1.524 13.253 2.343 1932 12 5.000 -2.754 0 0 3.959 -3.795 4.214 -2.621 1933 1 5.278 -2.314 0 0 4.574 -3.017 3.984 -2.689 1933 2 7.889 -2.103 0 0 7.539 -2.453 6.813 -2.261 1933 3 11.778 0.070 0 0 11.517 -0.190 10.375 -0.414 1933 4 14.778 0.246 0 0 14.584 0.052 13.232 -0.382 1933 5 16.500 -2.459 0 0 16.484 -2.475 14.749 -3.291 1933 6 23.000 -0.423 0 0 23.015 -0.408 20.970 -1.535 1933 7 29.222 2.058 0 0 29.044 1.880 28.075 1.829 1933 8 27.944 1.717 0 0 27.643 1.416 26.052 0.744 1933 9 21.889 -1.434 0 0 21.583 -1.740 21.251 -1.154 1933 10 21.056 3.096 0 0 20.538 2.579 20.351 3.310 1933 11 12.111 0.283 0 4 12.301 0.472 12.280 1.370 1933 12 7.556 -0.198 0 0 7.769 0.015 6.906 0.071 1934 1 7.333 -0.258 0 0 7.477 -0.114 7.129 0.456 1934 2 11.222 1.231 0 0 11.294 1.302 10.862 1.789 1934 3 16.500 4.793 0 0 16.553 4.846 15.083 4.294 1934 4 18.889 4.357 0 0 18.929 4.396 17.286 3.672 1934 5 21.722 2.764 0 0 21.725 2.767 19.861 1.820 1934 6 22.778 -0.645 0 0 22.775 -0.648 20.748 -1.757 1934 7 26.222 -0.942 0 0 26.259 -0.905 26.506 0.260 1934 8 27.222 0.995 0 0 27.284 1.057 25.924 0.615 1934 9 23.889 0.566 0 0 23.952 0.629 23.191 0.786 1934 10 18.278 0.318 0 0 18.384 0.424 17.772 0.731 1934 11 12.000 0.172 0 0 12.189 0.361 11.399 0.489 1934 12 7.778 0.024 0 0 7.991 0.237 7.141 0.305 1935 1 7.778 0.186 0 0 7.922 0.331 6.880 0.207 1935 2 9.833 -0.158 0 0 9.905 -0.086 9.153 0.080 1935 3 9.500 -2.207 0 0 9.553 -2.154 7.888 -2.901 1935 4 14.444 -0.088 0 0 14.484 -0.048 13.265 -0.349 1935 5 18.667 -0.292 0 0 18.670 -0.289 17.454 -0.586 1935 6 24.556 1.132 0 0 24.553 1.129 23.525 1.020 1935 7 24.889 -2.275 0 0 24.925 -2.238 25.557 -0.689 1935 8 27.500 1.273 0 0 27.562 1.335 26.134 0.825 1935 9 23.889 0.566 0 0 23.952 0.629 23.801 1.396 1935 10 16.333 -1.626 0 0 16.439 -1.520 15.905 -1.136 1935 11 9.389 -2.440 0 0 9.578 -2.250 9.202 -1.708 1935 12 8.333 0.579 0 0 8.547 0.793 7.687 0.852 1936 1 8.778 1.186 0 0 8.922 1.331 8.251 1.578 1936 2 9.889 -0.103 0 0 9.961 -0.031 8.921 -0.152 1936 3 13.111 1.404 0 0 13.164 1.457 11.768 0.979 1936 4 16.167 1.635 0 0 16.206 1.674 14.862 1.249 1936 5 20.222 1.264 0 0 20.225 1.267 19.287 1.247 1936 6 24.444 1.021 0 0 24.441 1.018 22.585 0.080 1936 7 28.444 1.281 0 0 28.481 1.317 27.930 1.684 1936 8 27.778 1.551 0 0 27.840 1.612 26.427 1.119 1936 9 23.444 0.121 0 0 23.507 0.184 23.225 0.821 1936 10 18.556 0.596 0 0 18.662 0.702 18.011 0.969 1936 11 11.556 -0.273 0 0 11.745 -0.083 11.909 0.999 1936 12 6.222 -1.532 0 0 6.435 -1.319 6.286 -0.550 1937 1 3.389 -4.202 0 0 3.533 -4.058 2.494 -4.179 1937 2 8.667 -1.325 0 0 8.738 -1.253 8.485 -0.588 1937 3 10.556 -1.152 0 0 10.609 -1.099 10.284 -0.505 1937 4 12.556 -1.977 0 0 12.595 -1.937 12.700 -0.913 1937 5 19.556 0.597 0 0 19.559 0.600 19.071 1.031 1937 6 22.667 -0.756 0 0 22.664 -0.760 21.936 -0.569 1937 7 27.111 -0.053 0 0 27.148 -0.016 27.209 0.963 1937 8 26.667 0.440 0 0 26.728 0.501 26.028 0.719 1937 9 22.944 -0.379 0 0 23.007 -0.316 22.997 0.592 1937 10 19.167 1.207 0 0 19.273 1.313 18.372 1.331 1937 11 12.556 0.727 0 0 12.745 0.917 12.055 1.145 1937 12 9.278 1.524 0 0 9.491 1.737 8.700 1.864 1938 1 7.667 0.075 0 0 7.811 0.219 7.217 0.544 1938 2 10.722 0.731 0 0 10.794 0.802 8.963 -0.111 1938 3 10.556 -1.152 0 0 10.609 -1.099 8.285 -2.504 1938 4 14.833 0.301 0 0 14.873 0.341 13.029 -0.585 1938 5 20.000 1.041 0 0 20.003 1.045 18.107 0.067 1938 6 24.778 1.355 0 0 24.775 1.352 23.070 0.565 1938 7 27.333 0.169 0 0 27.370 0.206 26.850 0.604 1938 8 25.778 -0.449 0 0 25.840 -0.388 25.158 -0.151 1938 9 23.278 -0.045 0 0 23.341 0.018 23.642 1.237 1938 10 16.111 -1.848 0 0 16.217 -1.742 16.465 -0.576 1938 11 9.722 -2.106 0 0 9.912 -1.917 9.655 -1.255 1938 12 8.333 0.579 0 0 8.547 0.793 7.934 1.098 1939 1 7.778 0.186 0 0 7.922 0.331 7.027 0.354 1939 2 6.722 -3.269 0 0 6.794 -3.198 6.504 -2.570 1939 3 12.333 0.626 0 0 12.387 0.679 10.530 -0.260 1939 4 17.778 3.246 0 0 17.817 3.285 16.267 2.653 1939 5 19.556 0.597 0 0 19.559 0.600 18.768 0.728 1939 6 23.667 0.244 0 0 23.664 0.240 22.501 -0.004 1939 7 26.222 -0.942 0 0 26.259 -0.905 26.533 0.287 1939 8 26.889 0.662 0 0 26.951 0.724 26.227 0.918 1939 9 24.333 1.010 0 0 24.396 1.073 23.173 0.768 1939 10 17.000 -0.959 0 0 17.106 -0.854 17.056 0.015 1939 11 12.500 0.672 0 0 12.689 0.861 12.722 1.812 1939 12 10.000 2.246 0 0 10.213 2.459 9.334 2.498 1940 1 9.444 1.853 0 0 9.588 1.997 8.527 1.854 1940 2 11.056 1.064 0 0 11.127 1.136 10.106 1.033 1940 3 13.056 1.348 0 0 13.109 1.401 12.050 1.261 1940 4 15.778 1.246 0 0 15.817 1.285 14.564 0.950 1940 5 21.333 2.375 0 0 21.337 2.378 20.307 2.266 1940 6 25.667 2.244 0 0 25.664 2.240 24.793 2.289 1940 7 26.556 -0.608 0 0 26.592 -0.572 25.700 -0.546 1940 8 26.000 -0.227 0 0 26.062 -0.165 25.453 0.144 1940 9 21.222 -2.101 0 0 21.285 -2.038 20.718 -1.687 1940 10 18.222 0.263 0 0 18.328 0.369 17.604 0.562 1940 11 11.000 -0.828 0 0 11.189 -0.639 10.199 -0.711 1940 12 10.500 2.746 0 0 10.713 2.959 9.461 2.625 1941 1 10.000 2.409 0 0 10.144 2.553 8.748 2.075 1941 2 12.222 2.231 0 0 12.294 2.302 10.781 1.708 1941 3 13.556 1.848 0 0 13.609 1.901 11.458 0.669 1941 4 13.833 -0.699 0 0 13.873 -0.659 12.010 -1.604 1941 5 20.333 1.375 0 0 20.337 1.378 18.680 0.640 1941 6 22.722 -0.701 0 0 22.719 -0.704 20.597 -1.908 1941 7 27.944 0.781 0 0 27.981 0.817 26.655 0.410 1941 8 24.667 -1.560 0 0 24.728 -1.499 23.261 -2.048 1941 9 20.778 -2.545 0 0 20.841 -2.482 20.228 -2.177 1941 10 16.111 -1.848 0 0 16.217 -1.742 15.293 -1.749 1941 11 12.556 0.727 0 0 12.745 0.917 12.141 1.231 1941 12 9.167 1.413 0 0 9.380 1.626 7.630 0.794 1942 1 8.667 1.075 0 0 8.811 1.219 7.759 1.086 1942 2 8.889 -1.103 0 0 8.961 -1.031 7.743 -1.330 1942 3 11.167 -0.541 0 0 11.220 -0.487 10.026 -0.763 1942 4 14.611 0.079 0 0 14.651 0.119 12.813 -0.801 1942 5 16.889 -2.070 0 0 16.892 -2.067 16.301 -1.740 1942 6 22.111 -1.312 0 0 22.108 -1.315 21.670 -0.835 1942 7 27.500 0.336 0 0 27.537 0.373 27.211 0.965 1942 8 26.000 -0.227 0 0 26.062 -0.165 25.431 0.122 1942 9 21.833 -1.490 0 0 21.896 -1.427 21.665 -0.739 1942 10 18.389 0.429 0 0 18.495 0.535 17.867 0.825 1942 11 11.444 -0.384 0 0 11.634 -0.195 10.999 0.089 1942 12 7.778 0.024 0 0 7.991 0.237 7.091 0.255 1943 1 7.611 0.020 0 0 7.755 0.164 7.162 0.489 1943 2 10.722 0.731 0 0 10.794 0.802 10.007 0.934 1943 3 13.000 1.293 0 0 13.053 1.346 11.339 0.550 1943 4 15.667 1.135 0 0 15.706 1.174 14.398 0.784 1943 5 19.778 0.819 0 0 19.781 0.822 19.037 0.996 1943 6 21.000 -2.423 0 0 20.997 -2.426 19.660 -2.845 1943 7 26.111 -1.053 0 0 26.148 -1.016 25.875 -0.370 1943 8 23.722 -2.505 0 0 23.784 -2.443 23.568 -1.741 1943 9 23.444 0.121 0 0 23.507 0.184 23.777 1.372 1943 10 17.556 -0.404 0 0 17.662 -0.298 17.346 0.305 1943 11 12.111 0.283 0 0 12.301 0.472 11.602 0.692 1943 12 8.889 1.135 0 0 9.102 1.348 7.419 0.584 1944 1 8.444 0.853 0 0 8.588 0.997 6.967 0.294 1944 2 8.889 -1.103 0 0 8.961 -1.031 7.578 -1.495 1944 3 11.444 -0.263 0 0 11.498 -0.210 10.167 -0.622 1944 4 13.333 -1.199 0 0 13.373 -1.159 11.883 -1.731 1944 5 19.556 0.597 0 0 19.559 0.600 18.518 0.478 1944 6 20.722 -2.701 0 0 20.719 -2.704 19.645 -2.860 1944 7 25.222 -1.942 0 0 25.259 -1.905 25.207 -1.039 1944 8 24.556 -1.672 0 0 24.617 -1.610 24.576 -0.732 1944 9 23.500 0.177 0 0 23.563 0.240 23.270 0.865 1944 10 18.778 0.818 0 0 18.884 0.924 18.307 1.266 1944 11 NaN NaN NaN NaN NaN NaN 9.622 -1.288 1944 12 NaN NaN NaN NaN NaN NaN 7.698 0.863 1945 1 NaN NaN NaN NaN NaN NaN 5.649 -1.024 1945 2 10.111 0.120 0 0 10.183 0.191 9.173 0.100 1945 3 10.167 -1.541 0 0 10.220 -1.487 7.987 -2.803 1945 4 14.667 0.135 0 0 14.706 0.174 13.749 0.135 1945 5 18.333 -0.625 0 0 18.337 -0.622 17.081 -0.959 1945 6 23.833 0.410 0 0 23.830 0.407 22.144 -0.361 1945 7 27.556 0.392 0 0 27.592 0.428 27.909 1.663 1945 8 26.222 -0.005 0 0 26.284 0.057 25.074 -0.235 1945 9 24.444 1.121 0 0 24.507 1.184 23.591 1.187 1945 10 19.444 1.485 0 0 19.550 1.591 18.082 1.040 1945 11 11.000 -0.828 0 0 11.189 -0.639 10.107 -0.803 1945 12 8.722 0.968 0 0 8.935 1.181 7.227 0.392 1946 1 6.556 -1.036 0 0 6.700 -0.892 5.963 -0.710 1946 2 8.444 -1.547 0 0 8.516 -1.475 7.801 -1.272 1946 3 11.778 0.070 0 0 11.831 0.124 10.231 -0.558 1946 4 16.444 1.912 0 0 16.484 1.952 15.245 1.631 1946 5 19.333 0.375 0 0 19.337 0.378 18.180 0.140 1946 6 22.667 -0.756 0 0 22.664 -0.760 21.399 -1.105 1946 7 27.444 0.281 0 0 27.481 0.317 26.523 0.277 1946 8 27.833 1.606 0 0 27.895 1.668 25.739 0.431 1946 9 22.444 -0.879 0 0 22.507 -0.816 22.657 0.253 1946 10 15.556 -2.404 0 0 15.662 -2.298 14.868 -2.173 1946 11 9.722 -2.106 0 0 9.912 -1.917 8.658 -2.252 1946 12 7.833 0.079 0 0 8.047 0.293 6.544 -0.291 1947 1 4.500 -3.091 0 0 4.644 -2.947 4.476 -2.197 1947 2 10.278 0.286 0 0 10.350 0.358 10.033 0.960 1947 3 13.889 2.182 0 0 13.942 2.235 12.199 1.410 1947 4 17.444 2.912 0 0 17.484 2.952 15.088 1.475 1947 5 22.500 3.541 0 0 22.503 3.545 20.679 2.639 1947 6 24.556 1.132 0 0 24.553 1.129 22.133 -0.372 1947 7 24.111 -3.053 0 0 24.148 -3.016 24.607 -1.639 1947 8 NaN NaN NaN NaN NaN NaN 23.516 -1.793 1947 9 23.556 0.233 0 0 23.618 0.295 23.822 1.417 1947 10 17.278 -0.682 0 0 17.384 -0.576 17.066 0.025 1947 11 9.333 -2.495 0 0 9.523 -2.306 8.456 -2.455 1947 12 7.000 -0.754 0 0 7.213 -0.541 5.690 -1.145 1948 1 NaN NaN NaN NaN NaN NaN 8.982 2.309 1948 2 NaN NaN NaN NaN NaN NaN 7.690 -1.383 1948 3 NaN NaN NaN NaN NaN NaN 8.606 -2.183 1948 4 NaN NaN NaN NaN NaN NaN 12.850 -0.764 1948 5 NaN NaN NaN NaN NaN NaN 16.151 -1.890 1948 6 NaN NaN NaN NaN NaN NaN 21.573 -0.932 1948 7 NaN NaN NaN NaN NaN NaN 25.194 -1.052 1948 8 NaN NaN NaN NaN NaN NaN 23.786 -1.522 1948 9 NaN NaN NaN NaN NaN NaN 22.153 -0.252 1948 10 NaN NaN NaN NaN NaN NaN 16.930 -0.111 1948 11 NaN NaN NaN NaN NaN NaN 9.717 -1.193 1948 12 NaN NaN NaN NaN NaN NaN 4.711 -2.125