% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35995 % Primary Name: DRY FARM % Record Type: TAVG % Country: United States % State: NV % Latitude: 40.71670 +/- 0.00005 % Longitude: -115.56670 +/- 0.00005 % Elevation (m): 1706.88 +/- 0.15 % # of Months: 42 % % Alternate Names: Missing Station ID - 262387 % % IDs: coop - 262387 % ghcnd - USC00262387 % ncdc - 12003358 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e8a7d97d1577135d128224e4846d1a90 % Raw Data Hash: 452de99c43541e9c7b01f01d50c0d213 % Adj Data Hash: dbc060326e1047a046f304c6424d1aad % % 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 1911 1 NaN NaN NaN NaN NaN NaN -2.996 1.686 1911 2 NaN NaN NaN NaN NaN NaN -5.092 -3.164 1911 3 NaN NaN NaN NaN NaN NaN 2.089 1.318 1911 4 NaN NaN NaN NaN NaN NaN 3.586 -1.478 1911 5 NaN NaN NaN NaN NaN NaN 8.790 -1.530 1911 6 NaN NaN NaN NaN NaN NaN 14.275 -0.863 1911 7 NaN NaN NaN NaN NaN NaN 19.185 -0.901 1911 8 NaN NaN NaN NaN NaN NaN 17.290 -1.440 1911 9 NaN NaN NaN NaN NaN NaN 12.411 -1.283 1911 10 NaN NaN NaN NaN NaN NaN 6.027 -1.385 1911 11 NaN NaN NaN NaN NaN NaN -0.854 -1.591 1911 12 NaN NaN NaN NaN NaN NaN -6.432 -2.519 1912 1 3.806 6.821 1 0 NaN NaN -2.891 1.790 1912 2 2.583 2.844 0 0 2.583 2.844 0.269 2.196 1912 3 2.300 -0.137 0 0 2.300 -0.137 -0.005 -0.777 1912 4 5.078 -1.652 0 0 5.078 -1.652 3.378 -1.687 1912 5 10.245 -1.740 0 0 10.245 -1.740 9.192 -1.127 1912 6 15.865 -0.940 0 0 15.865 -0.940 14.323 -0.815 1912 7 19.052 -2.700 0 0 19.052 -2.700 17.939 -2.146 1912 8 NaN NaN NaN NaN NaN NaN 17.045 -1.685 1912 9 12.673 -2.687 0 0 12.673 -2.687 10.421 -3.273 1912 10 6.756 -2.322 1 0 NaN NaN 5.810 -1.601 1912 11 3.890 1.487 0 0 3.890 1.487 1.975 1.238 1912 12 -1.634 0.613 0 0 -1.634 0.613 -4.610 -0.696 1913 1 -4.427 -1.412 0 0 -4.427 -1.412 -6.641 -1.960 1913 2 -2.389 -2.128 0 0 -2.389 -2.128 -3.692 -1.765 1913 3 1.095 -1.342 0 0 1.095 -1.342 -1.016 -1.787 1913 4 6.697 -0.034 0 0 6.697 -0.034 5.280 0.216 1913 5 12.347 0.361 0 0 12.347 0.361 11.121 0.802 1913 6 14.290 -2.515 0 0 14.290 -2.515 13.377 -1.761 1913 7 18.488 -3.263 0 0 18.488 -3.263 17.946 -2.140 1913 8 19.708 -0.688 0 0 19.708 -0.688 18.439 -0.290 1913 9 15.627 0.266 0 0 15.627 0.266 13.405 -0.289 1913 10 7.879 -1.199 0 0 7.879 -1.199 6.773 -0.639 1913 11 3.747 1.344 0 0 3.747 1.344 2.024 1.287 1913 12 -4.706 -2.459 0 0 -4.706 -2.459 -6.370 -2.457 1914 1 -0.844 2.172 0 0 -0.844 2.172 -2.537 2.144 1914 2 -1.177 -0.916 0 0 -1.177 -0.916 -2.116 -0.188 1914 3 3.953 1.516 0 0 3.953 1.516 2.134 1.363 1914 4 6.962 0.231 0 0 6.962 0.231 5.664 0.600 1914 5 12.437 0.452 0 0 12.437 0.452 11.682 1.362 1914 6 14.032 -2.773 0 0 14.032 -2.773 12.816 -2.322 1914 7 20.423 -1.329 0 0 20.423 -1.329 19.821 -0.265 1914 8 17.840 -2.556 0 0 17.840 -2.556 18.601 -0.129 1914 9 NaN NaN NaN NaN NaN NaN 12.687 -1.007 1914 10 NaN NaN NaN NaN NaN NaN 9.339 1.928 1914 11 5.465 3.062 0 0 5.465 3.062 1.462 0.725 1914 12 -5.611 -3.364 0 0 -5.611 -3.364 -8.338 -4.425 1915 1 -2.858 0.157 0 0 -2.858 0.157 -5.591 -0.910 1915 2 0.550 0.811 0 0 0.550 0.811 0.060 1.987 1915 3 4.694 2.256 0 0 4.694 2.256 1.949 1.178 1915 4 9.653 2.923 0 0 9.653 2.923 7.733 2.668 1915 5 9.423 -2.563 0 0 9.423 -2.563 8.937 -1.383 1915 6 14.788 -2.016 0 0 14.788 -2.016 12.875 -2.264 1915 7 NaN NaN NaN NaN NaN NaN 18.687 -1.399 1915 8 21.898 1.502 1 0 NaN NaN 19.656 0.926 1915 9 NaN NaN NaN NaN NaN NaN 12.499 -1.195 1915 10 NaN NaN NaN NaN NaN NaN 8.969 1.557 1915 11 4.227 1.824 0 0 4.227 1.824 1.275 0.538 1915 12 -0.671 1.576 0 0 -0.671 1.576 -3.246 0.668 1916 1 NaN NaN NaN NaN NaN NaN -7.575 -2.894 1916 2 NaN NaN NaN NaN NaN NaN -1.264 0.663 1916 3 NaN NaN NaN NaN NaN NaN 2.206 1.435 1916 4 NaN NaN NaN NaN NaN NaN 6.108 1.044 1916 5 NaN NaN NaN NaN NaN NaN 7.889 -2.430 1916 6 NaN NaN NaN NaN NaN NaN 12.992 -2.147 1916 7 NaN NaN NaN NaN NaN NaN 19.025 -1.061 1916 8 NaN NaN NaN NaN NaN NaN 16.927 -1.803 1916 9 NaN NaN NaN NaN NaN NaN 13.236 -0.458 1916 10 NaN NaN NaN NaN NaN NaN 5.650 -1.761 1916 11 NaN NaN NaN NaN NaN NaN -1.722 -2.459 1916 12 NaN NaN NaN NaN NaN NaN -6.046 -2.132