% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36257 % Primary Name: SEVENTY ONE RANCH % Record Type: TAVG % Country: United States % State: NV % Latitude: 40.90000 +/- 0.00005 % Longitude: -115.31670 +/- 0.00005 % Elevation (m): 1662.10 +/- 0.05 % # of Months: 113 % % Alternate Names: SEVENTY ONE RCH % % IDs: coop - 267397 % ghcnd - USC00267397 % ncdc - 20019264 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 48dc0ed96f8cab930079e037d80c185b % Raw Data Hash: b27f3dc029c54b431ecb28dd2c307ca1 % Adj Data Hash: e8c2c74afe67a6eb24a6c868c0ef8bdf % % 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 1938 11 NaN NaN NaN NaN NaN NaN -2.197 -2.934 1938 12 NaN NaN NaN NaN NaN NaN -1.493 2.420 1939 1 NaN NaN NaN NaN NaN NaN -3.410 1.271 1939 2 NaN NaN NaN NaN NaN NaN -6.020 -4.093 1939 3 NaN NaN NaN NaN NaN NaN 0.999 0.228 1939 4 NaN NaN NaN NaN NaN NaN 7.070 2.005 1939 5 NaN NaN NaN NaN NaN NaN 12.062 1.743 1939 6 NaN NaN NaN NaN NaN NaN 13.679 -1.459 1939 7 NaN NaN NaN NaN NaN NaN 20.634 0.548 1939 8 NaN NaN NaN NaN NaN NaN 19.424 0.694 1939 9 NaN NaN NaN NaN NaN NaN 14.119 0.425 1939 10 NaN NaN NaN NaN NaN NaN 8.118 0.706 1939 11 3.333 2.183 0 0 3.424 2.274 2.838 2.101 1939 12 1.556 5.056 0 0 1.515 5.015 0.261 4.174 1940 1 -1.722 2.546 0 0 -1.821 2.447 -2.478 2.203 1940 2 1.222 2.736 0 0 1.176 2.690 0.593 2.520 1940 3 4.444 3.260 0 0 4.395 3.211 2.566 1.795 1940 4 6.889 1.411 0 0 6.747 1.269 5.767 0.702 1940 5 13.333 2.601 0 0 13.212 2.479 13.133 2.814 1940 6 NaN NaN NaN NaN NaN NaN 17.176 2.038 1940 7 20.333 -0.165 0 0 20.569 0.071 20.714 0.629 1940 8 20.778 1.635 0 0 20.993 1.850 20.299 1.569 1940 9 14.889 0.782 0 0 15.039 0.932 13.616 -0.079 1940 10 8.889 1.064 0 0 9.032 1.207 9.281 1.869 1940 11 -0.889 -2.039 0 0 -0.798 -1.948 -0.499 -1.236 1940 12 -1.278 2.222 0 0 -1.318 2.182 -2.024 1.889 1941 1 -3.111 1.157 0 0 -3.210 1.058 -3.050 1.632 1941 2 0.111 1.625 0 0 0.065 1.579 0.461 2.388 1941 3 3.333 2.149 0 0 3.284 2.100 1.909 1.138 1941 4 4.778 -0.700 0 0 4.636 -0.842 3.538 -1.527 1941 5 11.889 1.156 0 0 11.767 1.035 11.228 0.909 1941 6 14.000 -1.552 0 0 14.078 -1.474 13.153 -1.985 1941 7 20.167 -0.332 0 0 20.403 -0.096 20.219 0.133 1941 8 17.556 -1.587 0 0 17.771 -1.372 17.419 -1.311 1941 9 9.667 -4.441 0 0 9.817 -4.291 10.417 -3.277 1941 10 5.389 -2.436 0 0 5.532 -2.293 6.509 -0.903 1941 11 0.222 -0.928 0 0 0.313 -0.837 1.442 0.705 1941 12 0.111 3.611 0 0 0.071 3.571 -1.785 2.128 1942 1 -1.000 3.268 0 0 -1.099 3.169 -5.447 -0.766 1942 2 -5.222 -3.708 0 0 -5.268 -3.754 -5.419 -3.491 1942 3 -0.556 -1.740 0 0 -0.605 -1.789 -1.791 -2.562 1942 4 6.556 1.078 0 0 6.414 0.936 5.469 0.404 1942 5 9.278 -1.455 0 0 9.156 -1.576 8.010 -2.309 1942 6 13.556 -1.996 0 0 13.633 -1.919 12.870 -2.268 1942 7 19.556 -0.943 0 0 19.792 -0.707 21.368 1.282 1942 8 18.667 -0.476 0 0 18.882 -0.261 18.683 -0.047 1942 9 12.500 -1.607 0 0 12.650 -1.457 13.190 -0.504 1942 10 7.333 -0.492 0 0 7.476 -0.349 8.443 1.031 1942 11 1.444 0.294 0 0 1.535 0.385 1.417 0.680 1942 12 -1.444 2.056 0 0 -1.485 2.015 -1.451 2.462 1943 1 -2.556 1.713 0 0 -2.654 1.614 -2.825 1.857 1943 2 -1.444 0.070 0 0 -1.491 0.023 -0.965 0.962 1943 3 NaN NaN NaN NaN NaN NaN 0.848 0.077 1943 4 10.167 4.689 0 0 10.025 4.547 8.586 3.522 1943 5 10.000 -0.733 0 0 9.878 -0.854 9.501 -0.818 1943 6 13.556 -1.996 0 0 13.633 -1.919 12.121 -3.017 1943 7 19.667 -0.832 0 0 19.903 -0.596 20.264 0.179 1943 8 18.111 -1.032 0 0 18.326 -0.817 18.215 -0.514 1943 9 15.222 1.115 0 0 15.372 1.265 15.244 1.550 1943 10 8.889 1.064 0 0 9.032 1.207 8.887 1.475 1943 11 1.833 0.683 0 0 1.924 0.774 1.316 0.579 1943 12 -2.111 1.389 0 0 -2.151 1.349 -3.228 0.686 1944 1 -9.222 -4.954 0 0 -9.321 -5.053 -8.779 -4.098 1944 2 -3.333 -1.819 0 0 -3.380 -1.865 -3.200 -1.273 1944 3 0.000 -1.184 0 0 -0.049 -1.234 -1.583 -2.355 1944 4 4.833 -0.644 0 0 4.691 -0.786 3.410 -1.655 1944 5 11.667 0.934 0 0 11.545 0.813 10.813 0.494 1944 6 13.611 -1.941 0 0 13.689 -1.863 11.221 -3.918 1944 7 18.111 -2.388 0 0 18.347 -2.152 19.330 -0.756 1944 8 17.222 -1.921 0 0 17.437 -1.706 17.593 -1.137 1944 9 13.111 -0.996 0 0 13.261 -0.846 13.418 -0.276 1944 10 8.889 1.064 0 0 9.032 1.207 9.662 2.250 1944 11 -4.111 -5.261 0 0 -4.020 -5.170 -2.288 -3.025 1944 12 -11.333 -7.833 0 0 -11.374 -7.873 -6.240 -2.327 1945 1 -8.778 -4.510 0 0 -8.877 -4.609 -3.894 0.787 1945 2 -2.333 -0.819 0 0 -2.380 -0.865 -0.980 0.947 1945 3 -1.111 -2.296 0 0 -1.160 -2.345 -1.345 -2.116 1945 4 3.611 -1.866 0 0 3.469 -2.008 2.811 -2.253 1945 5 11.056 0.323 0 0 10.934 0.201 10.398 0.079 1945 6 11.778 -3.774 0 0 11.855 -3.696 11.308 -3.830 1945 7 16.111 -4.388 0 0 16.347 -4.152 20.304 0.218 1945 8 18.111 -1.032 0 0 18.326 -0.817 18.485 -0.244 1945 9 12.556 -1.552 0 0 12.706 -1.402 11.953 -1.741 1945 10 8.778 0.953 0 0 8.921 1.096 9.024 1.612 1945 11 NaN NaN NaN NaN NaN NaN 0.008 -0.729 1945 12 NaN NaN NaN NaN NaN NaN -4.451 -0.538 1946 1 NaN NaN NaN NaN NaN NaN -5.100 -0.419 1946 2 NaN NaN NaN NaN NaN NaN -2.369 -0.441 1946 3 NaN NaN NaN NaN NaN NaN 1.245 0.474 1946 4 NaN NaN NaN NaN NaN NaN 7.180 2.115 1946 5 12.222 1.490 0 0 12.101 1.368 9.759 -0.561 1946 6 16.111 0.559 0 0 16.189 0.637 14.680 -0.458 1946 7 19.611 -0.888 0 0 19.847 -0.652 20.477 0.392 1946 8 NaN NaN NaN NaN NaN NaN 19.128 0.398 1946 9 NaN NaN NaN NaN NaN NaN 12.328 -1.366 1946 10 NaN NaN NaN NaN NaN NaN 4.598 -2.814 1946 11 2.444 1.294 0 0 2.535 1.385 -0.002 -0.739 1946 12 1.333 4.833 0 0 1.293 4.793 -1.020 2.893 1947 1 -5.667 -1.399 0 0 -5.766 -1.497 -6.902 -2.220 1947 2 3.333 4.847 0 0 3.287 4.801 1.800 3.727 1947 3 6.889 5.704 0 0 6.840 5.655 2.790 2.019 1947 4 9.111 3.634 0 0 8.969 3.492 5.198 0.134 1947 5 12.389 1.656 0 0 12.267 1.535 12.638 2.319 1947 6 13.111 -2.441 0 0 13.189 -2.363 12.376 -2.762 1947 7 18.941 -1.558 1 0 NaN NaN 20.418 0.333 1947 8 NaN NaN NaN NaN NaN NaN 18.068 -0.662 1947 9 NaN NaN NaN NaN NaN NaN 13.980 0.286 1947 10 NaN NaN NaN NaN NaN NaN 9.256 1.844 1947 11 NaN NaN NaN NaN NaN NaN -1.113 -1.850 1947 12 -1.222 2.278 0 0 -1.262 2.238 -3.660 0.254 1948 1 NaN NaN NaN NaN NaN NaN -2.045 2.637 1948 2 NaN NaN NaN NaN NaN NaN -2.551 -0.624 1948 3 -0.611 -1.796 0 0 -0.660 -1.845 -2.331 -3.102 1948 4 NaN NaN NaN NaN NaN NaN 4.649 -0.416 1948 5 NaN NaN NaN NaN NaN NaN 10.277 -0.043 1948 6 NaN NaN NaN NaN NaN NaN 14.684 -0.455 1948 7 NaN NaN NaN NaN NaN NaN 19.477 -0.609 1948 8 NaN NaN NaN NaN NaN NaN 17.916 -0.814 1948 9 NaN NaN NaN NaN NaN NaN 13.505 -0.189 1948 10 NaN NaN NaN NaN NaN NaN 8.478 1.066 1948 11 NaN NaN NaN NaN NaN NaN -0.585 -1.322 1948 12 NaN NaN NaN NaN NaN NaN -6.573 -2.659 1949 1 NaN NaN NaN NaN NaN NaN -13.310 -8.628 1949 2 NaN NaN NaN NaN NaN NaN -7.083 -5.156 1949 3 NaN NaN NaN NaN NaN NaN -0.298 -1.070 1949 4 NaN NaN NaN NaN NaN NaN 7.535 2.470 1949 5 NaN NaN NaN NaN NaN NaN 11.257 0.937 1949 6 NaN NaN NaN NaN NaN NaN 13.832 -1.306 1949 7 NaN NaN NaN NaN NaN NaN 20.064 -0.022 1949 8 NaN NaN NaN NaN NaN NaN 18.899 0.170 1949 9 NaN NaN NaN NaN NaN NaN 14.539 0.844 1949 10 NaN NaN NaN NaN NaN NaN 5.816 -1.596 1949 11 NaN NaN NaN NaN NaN NaN 4.667 3.930 1949 12 NaN NaN NaN NaN NaN NaN -4.498 -0.585 1950 1 NaN NaN NaN NaN NaN NaN -5.989 -1.307 1950 2 NaN NaN NaN NaN NaN NaN -0.286 1.641 1950 3 NaN NaN NaN NaN NaN NaN 0.002 -0.769 1950 4 5.278 -0.200 0 2 5.684 0.206 4.480 -0.584 1950 5 9.056 -1.677 0 0 9.404 -1.329 8.687 -1.633 1950 6 14.167 -1.385 0 0 13.945 -1.607 13.459 -1.680 1950 7 19.056 -1.443 0 0 18.380 -2.119 19.511 -0.574 1950 8 18.111 -1.032 0 0 17.496 -1.647 18.032 -0.698 1950 9 13.778 -0.330 0 0 13.348 -0.759 13.068 -0.626 1950 10 9.778 1.953 0 0 9.369 1.544 10.219 2.807 1950 11 4.556 3.405 0 0 4.295 3.145 3.100 2.363 1950 12 2.778 6.278 0 0 2.893 6.393 0.246 4.160 1951 1 -2.444 1.824 0 0 -2.161 2.107 -4.198 0.483 1951 2 0.833 2.347 0 0 0.966 2.480 -0.530 1.397 1951 3 1.500 0.316 0 0 1.641 0.457 -1.002 -1.773 1951 4 7.833 2.356 0 0 8.240 2.762 6.249 1.185 1951 5 11.167 0.434 0 0 11.515 0.782 10.575 0.256 1951 6 14.056 -1.496 0 0 13.833 -1.718 13.065 -2.073 1951 7 20.500 0.001 0 0 19.825 -0.674 20.454 0.369 1951 8 17.667 -1.476 0 0 17.051 -2.092 17.827 -0.903 1951 9 14.444 0.337 0 0 14.015 -0.092 14.226 0.532 1951 10 NaN NaN NaN NaN NaN NaN 6.828 -0.584 1951 11 1.500 0.350 0 0 1.240 0.090 -0.006 -0.743 1951 12 NaN NaN NaN NaN NaN NaN -6.415 -2.501 1952 1 -6.889 -2.621 0 0 -6.606 -2.338 -6.550 -1.869 1952 2 -5.111 -3.597 0 0 -4.979 -3.465 -4.642 -2.715 1952 3 -2.167 -3.351 0 0 -2.026 -3.210 -3.562 -4.333 1952 4 6.722 1.245 0 0 7.128 1.651 6.341 1.277 1952 5 11.833 1.101 0 0 12.181 1.449 11.355 1.035 1952 6 13.667 -1.885 0 0 13.445 -2.107 13.984 -1.155 1952 7 19.389 -1.110 0 0 18.713 -1.785 19.647 -0.439 1952 8 NaN NaN NaN NaN NaN NaN 19.178 0.449 1952 9 14.444 0.337 0 0 14.015 -0.092 15.120 1.426 1952 10 9.889 2.064 0 0 9.480 1.655 10.469 3.057 1952 11 -1.444 -2.595 0 0 -1.705 -2.855 -2.089 -2.826 1952 12 NaN NaN NaN NaN NaN NaN -2.719 1.194 1953 1 NaN NaN NaN NaN NaN NaN 1.953 6.635 1953 2 NaN NaN NaN NaN NaN NaN -0.198 1.729 1953 3 NaN NaN NaN NaN NaN NaN 1.548 0.777 1953 4 NaN NaN NaN NaN NaN NaN 4.066 -0.998 1953 5 NaN NaN NaN NaN NaN NaN 7.009 -3.311 1953 6 NaN NaN NaN NaN NaN NaN 13.195 -1.944 1953 7 NaN NaN NaN NaN NaN NaN 21.314 1.229 1953 8 NaN NaN NaN NaN NaN NaN 18.024 -0.706 1953 9 NaN NaN NaN NaN NaN NaN 15.169 1.475 1953 10 NaN NaN NaN NaN NaN NaN 8.691 1.279 1953 11 NaN NaN NaN NaN NaN NaN 3.644 2.907