% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 31923 % Primary Name: LYMAN CROSSING % Record Type: TAVG % Country: United States % State: NV % Latitude: 37.16000 +/- 0.00005 % Longitude: -114.46810 +/- 0.00005 % Elevation (m): 841.25 +/- 0.15 % # of Months: 17 % % Alternate Names: Missing Station ID - 264748 % % IDs: coop - 264748 % ghcnd - USC00264748 % ncdc - 30001538 % nws - LYMN2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 66af832fd6f27c669f430900b1e4c798 % Raw Data Hash: 632593e82c0bd70e627a7c64cfcc7f7b % Adj Data Hash: c78f6cb29e8e2140d5385cf1f4d2f155 % % 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 2002 9 NaN NaN NaN NaN NaN NaN 18.337 0.674 2002 10 NaN NaN NaN NaN NaN NaN 10.939 -0.460 2002 11 NaN NaN NaN NaN NaN NaN 4.869 0.469 2002 12 NaN NaN NaN NaN NaN NaN 0.309 0.286 2003 1 NaN NaN NaN NaN NaN NaN 4.880 5.608 2003 2 NaN NaN NaN NaN NaN NaN 2.163 0.227 2003 3 NaN NaN NaN NaN NaN NaN 5.481 1.014 2003 4 NaN NaN NaN NaN NaN NaN 7.755 -0.754 2003 5 NaN NaN NaN NaN NaN NaN 15.121 1.337 2003 6 NaN NaN NaN NaN NaN NaN 20.258 1.130 2003 7 NaN NaN NaN NaN NaN NaN 26.021 2.800 2003 8 NaN NaN NaN NaN NaN NaN 23.120 1.078 2003 9 27.833 3.479 0 0 27.833 3.479 19.317 1.655 2003 10 22.278 4.187 0 0 22.278 4.187 15.388 3.989 2003 11 NaN NaN NaN NaN NaN NaN 3.172 -1.228 2003 12 6.056 -0.660 0 0 6.056 -0.660 0.716 0.693 2004 1 NaN NaN NaN NaN NaN NaN -0.808 -0.080 2004 2 6.722 -1.906 0 0 6.722 -1.906 0.139 -1.798 2004 3 16.222 5.063 0 0 16.222 5.063 8.859 4.391 2004 4 17.889 2.687 0 0 17.889 2.687 9.639 1.130 2004 5 23.278 2.802 0 0 23.278 2.802 14.953 1.168 2004 6 27.944 2.123 0 0 27.944 2.123 20.271 1.142 2004 7 31.278 1.365 0 0 31.278 1.365 23.654 0.433 2004 8 30.687 1.952 1 0 NaN NaN 21.704 -0.338 2004 9 24.222 -0.132 0 0 24.222 -0.132 17.359 -0.303 2004 10 16.833 -1.258 0 0 16.833 -1.258 11.004 -0.394 2004 11 9.000 -2.092 0 0 9.000 -2.092 3.596 -0.803 2004 12 6.111 -0.604 0 0 6.111 -0.604 1.290 1.267 2005 1 NaN NaN NaN NaN NaN NaN 2.469 3.198 2005 2 NaN NaN NaN NaN NaN NaN 3.265 1.328 2005 3 11.222 0.063 0 0 11.222 0.063 4.670 0.203 2005 4 13.667 -1.535 0 0 13.667 -1.535 7.711 -0.799 2005 5 NaN NaN NaN NaN NaN NaN 14.344 0.559 2005 6 NaN NaN NaN NaN NaN NaN 17.589 -1.540 2005 7 NaN NaN NaN NaN NaN NaN 25.110 1.889 2005 8 NaN NaN NaN NaN NaN NaN 21.499 -0.543 2005 9 NaN NaN NaN NaN NaN NaN 17.350 -0.312 2005 10 NaN NaN NaN NaN NaN NaN 12.392 0.993 2005 11 NaN NaN NaN NaN NaN NaN 6.240 1.840 2005 12 NaN NaN NaN NaN NaN NaN 1.224 1.201 2006 1 6.222 0.258 0 0 6.222 0.258 1.136 1.864 2006 2 NaN NaN NaN NaN NaN NaN 2.991 1.055 2006 3 NaN NaN NaN NaN NaN NaN 2.387 -2.081 2006 4 NaN NaN NaN NaN NaN NaN 9.226 0.717 2006 5 NaN NaN NaN NaN NaN NaN 16.199 2.415 2006 6 NaN NaN NaN NaN NaN NaN 21.352 2.223 2006 7 NaN NaN NaN NaN NaN NaN 24.846 1.625 2006 8 NaN NaN NaN NaN NaN NaN 22.196 0.154 2006 9 NaN NaN NaN NaN NaN NaN 16.559 -1.103 2006 10 NaN NaN NaN NaN NaN NaN 10.766 -0.632 2006 11 NaN NaN NaN NaN NaN NaN 5.463 1.063 2006 12 NaN NaN NaN NaN NaN NaN -0.429 -0.452 2007 1 NaN NaN NaN NaN NaN NaN -2.516 -1.788