% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38357 % Primary Name: VAN TASSELL % Record Type: TAVG % Country: United States % State: WY % Latitude: 42.65000 +/- 0.00005 % Longitude: -104.06670 +/- 0.00005 % Elevation (m): 1457.80 +/- 58.63 % # of Months: 27 % % Alternate Names: Missing Station ID - 489270 % % IDs: coop - 489270 % ghcnd - USC00489270 % ncdc - 12006313 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: b5948b84af4138facf5ccd44dfc47210 % Raw Data Hash: 7eee2818d78fff1787f7425435e49914 % Adj Data Hash: ca87e23833383db43ea7696dd2891aa0 % % 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 1913 5 NaN NaN NaN NaN NaN NaN 11.489 -0.264 1913 6 NaN NaN NaN NaN NaN NaN 17.218 -0.102 1913 7 NaN NaN NaN NaN NaN NaN 19.973 -1.393 1913 8 NaN NaN NaN NaN NaN NaN 21.122 0.985 1913 9 NaN NaN NaN NaN NaN NaN 13.225 -1.361 1913 10 NaN NaN NaN NaN NaN NaN 6.399 -1.905 1913 11 NaN NaN NaN NaN NaN NaN 3.745 2.981 1913 12 NaN NaN NaN NaN NaN NaN -6.284 -3.087 1914 1 NaN NaN NaN NaN NaN NaN -1.663 3.526 1914 2 NaN NaN NaN NaN NaN NaN -4.399 -2.120 1914 3 NaN NaN NaN NaN NaN NaN 1.040 0.667 1914 4 NaN NaN NaN NaN NaN NaN 5.881 0.006 1914 5 13.056 1.828 1 0 NaN NaN 12.167 0.414 1914 6 17.663 0.869 0 0 17.663 0.869 17.111 -0.209 1914 7 21.691 0.851 0 0 21.691 0.851 21.963 0.598 1914 8 19.566 -0.047 0 0 19.566 -0.047 19.419 -0.719 1914 9 15.783 1.723 0 0 15.783 1.723 15.460 0.874 1914 10 9.184 1.405 1 0 NaN NaN 9.995 1.691 1914 11 2.555 2.316 0 0 2.555 2.316 3.977 3.212 1914 12 -9.959 -6.236 0 0 -9.959 -6.236 -8.060 -4.863 1915 1 -7.516 -1.802 0 0 -7.516 -1.802 -6.588 -1.399 1915 2 -4.838 -2.034 1 0 NaN NaN -1.538 0.741 1915 3 NaN NaN NaN NaN NaN NaN -3.818 -4.190 1915 4 8.772 3.423 0 0 8.772 3.423 9.191 3.315 1915 5 9.167 -2.061 0 0 9.167 -2.061 9.305 -2.448 1915 6 13.550 -3.244 0 0 13.550 -3.244 13.736 -3.583 1915 7 17.242 -3.598 0 0 17.242 -3.598 17.873 -3.493 1915 8 16.875 -2.737 0 0 16.875 -2.737 17.549 -2.589 1915 9 13.333 -0.728 0 0 13.333 -0.728 13.041 -1.545 1915 10 NaN NaN NaN NaN NaN NaN 10.003 1.699 1915 11 1.402 1.163 0 0 1.402 1.163 1.766 1.001 1915 12 -4.149 -0.426 0 0 -4.149 -0.426 -2.706 0.491 1916 1 -9.962 -4.248 1 0 NaN NaN -9.839 -4.651 1916 2 -2.021 0.784 0 0 -2.021 0.784 -0.944 1.335 1916 3 3.722 3.876 1 0 NaN NaN 3.218 2.846 1916 4 5.484 0.134 1 0 NaN NaN 5.487 -0.388 1916 5 9.585 -1.643 0 0 9.585 -1.643 9.840 -1.914 1916 6 NaN NaN NaN NaN NaN NaN 15.203 -2.116 1916 7 21.988 1.148 0 0 21.988 1.148 22.419 1.054 1916 8 17.350 -2.262 1 0 NaN NaN 18.980 -1.158 1916 9 13.153 -0.907 0 0 13.153 -0.907 13.445 -1.142 1916 10 5.160 -2.618 0 0 5.160 -2.618 6.556 -1.748 1916 11 NaN NaN NaN NaN NaN NaN -0.919 -1.684 1916 12 NaN NaN NaN NaN NaN NaN -7.532 -4.335 1917 1 NaN NaN NaN NaN NaN NaN -7.241 -2.052 1917 2 NaN NaN NaN NaN NaN NaN -3.054 -0.774 1917 3 NaN NaN NaN NaN NaN NaN -4.017 -4.390 1917 4 NaN NaN NaN NaN NaN NaN 3.637 -2.238 1917 5 NaN NaN NaN NaN NaN NaN 7.978 -3.775 1917 6 NaN NaN NaN NaN NaN NaN 14.886 -2.433 1917 7 NaN NaN NaN NaN NaN NaN 21.713 0.347 1917 8 NaN NaN NaN NaN NaN NaN 17.922 -2.216 1917 9 NaN NaN NaN NaN NaN NaN 14.842 0.256 1917 10 NaN NaN NaN NaN NaN NaN 6.435 -1.869