% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39297 % Primary Name: WRENSTED RANCH % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.55000 +/- 0.00005 % Longitude: -112.43330 +/- 0.00005 % Elevation (m): 1813.56 +/- 0.15 % # of Months: 48 % % Alternate Names: Missing Station ID - 109900 % % IDs: coop - 109900 % ghcnd - USC00109900 % ncdc - 12001678 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 5d7416e3c3283fdcfb28c05a28f6ec3d % Raw Data Hash: 33c186082823dc86d3af398a81e867b2 % Adj Data Hash: 6206a5e1f8c7b2744eb7cfea81641781 % % 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 1917 5 NaN NaN NaN NaN NaN NaN 6.060 -2.115 1917 6 NaN NaN NaN NaN NaN NaN 10.141 -2.382 1917 7 NaN NaN NaN NaN NaN NaN 18.096 1.207 1917 8 NaN NaN NaN NaN NaN NaN 14.912 -0.844 1917 9 NaN NaN NaN NaN NaN NaN 11.503 0.686 1917 10 NaN NaN NaN NaN NaN NaN 4.697 0.020 1917 11 NaN NaN NaN NaN NaN NaN 0.482 3.534 1917 12 NaN NaN NaN NaN NaN NaN -2.685 5.630 1918 1 NaN NaN NaN NaN NaN NaN -8.911 0.959 1918 2 NaN NaN NaN NaN NaN NaN -8.424 -1.445 1918 3 NaN NaN NaN NaN NaN NaN -2.628 1.194 1918 4 NaN NaN NaN NaN NaN NaN 0.759 -1.549 1918 5 8.440 -2.928 0 0 8.440 -2.928 6.620 -1.555 1918 6 18.488 2.773 0 0 18.488 2.773 15.073 2.551 1918 7 18.765 -1.318 0 0 18.765 -1.318 16.189 -0.700 1918 8 15.966 -2.983 0 0 15.966 -2.983 13.592 -2.163 1918 9 12.010 -2.000 0 0 12.010 -2.000 10.932 0.116 1918 10 7.744 -0.126 0 0 7.744 -0.126 6.724 2.047 1918 11 0.587 0.446 0 0 0.587 0.446 -4.137 -1.085 1918 12 -4.361 0.761 1 0 NaN NaN -8.488 -0.174 1919 1 -3.781 2.897 0 0 -3.781 2.897 -8.487 1.383 1919 2 -4.532 -0.746 0 0 -4.532 -0.746 -7.558 -0.579 1919 3 -0.815 -0.186 0 0 -0.815 -0.186 -4.313 -0.491 1919 4 5.668 0.168 0 0 5.668 0.168 3.375 1.068 1919 5 10.834 -0.534 0 0 10.834 -0.534 9.078 0.902 1919 6 16.188 0.473 0 0 16.188 0.473 13.818 1.295 1919 7 20.121 0.039 0 0 20.121 0.039 18.403 1.514 1919 8 16.502 -2.446 0 0 16.502 -2.446 16.438 0.682 1919 9 9.464 -4.545 1 0 NaN NaN 11.353 0.536 1919 10 2.869 -5.001 0 0 2.869 -5.001 0.662 -4.015 1919 11 -0.907 -1.047 0 0 -0.907 -1.047 -5.577 -2.524 1919 12 -4.553 0.569 0 0 -4.553 0.569 -12.057 -3.743 1920 1 -2.473 4.204 0 0 -2.473 4.204 -8.067 1.803 1920 2 -2.197 1.589 1 0 NaN NaN -6.328 0.651 1920 3 -1.506 -0.878 0 0 -1.506 -0.878 -5.955 -2.133 1920 4 1.277 -4.224 0 0 1.277 -4.224 -1.128 -3.436 1920 5 8.917 -2.451 0 0 8.917 -2.451 6.704 -1.471 1920 6 13.448 -2.267 0 0 13.448 -2.267 10.609 -1.913 1920 7 19.434 -0.648 0 0 19.434 -0.648 17.193 0.303 1920 8 NaN NaN NaN NaN NaN NaN 15.125 -0.631 1920 9 NaN NaN NaN NaN NaN NaN 9.717 -1.099 1920 10 NaN NaN NaN NaN NaN NaN 3.434 -1.244 1920 11 NaN NaN NaN NaN NaN NaN -4.177 -1.125 1920 12 NaN NaN NaN NaN NaN NaN -8.335 -0.020 1921 1 NaN NaN NaN NaN NaN NaN -8.263 1.607 1921 2 NaN NaN NaN NaN NaN NaN -6.277 0.702 1921 3 NaN NaN NaN NaN NaN NaN -2.334 1.488 1921 4 2.388 -3.112 0 0 2.388 -3.112 0.548 -1.759 1921 5 9.445 -1.923 0 0 9.445 -1.923 8.290 0.114 1921 6 15.962 0.246 0 0 15.962 0.246 13.510 0.987 1921 7 17.500 -2.582 0 0 17.500 -2.582 17.392 0.503 1921 8 NaN NaN NaN NaN NaN NaN 15.591 -0.165 1921 9 11.470 -2.540 0 0 11.470 -2.540 7.879 -2.938 1921 10 10.722 2.852 0 0 10.722 2.852 7.140 2.462 1921 11 4.000 3.859 0 0 4.000 3.859 -0.911 2.141 1921 12 -2.056 3.066 0 0 -2.056 3.066 -7.510 0.805 1922 1 -7.329 -0.652 0 0 -7.329 -0.652 -14.233 -4.363 1922 2 -5.515 -1.729 0 0 -5.515 -1.729 -10.590 -3.611 1922 3 -2.471 -1.842 0 0 -2.471 -1.842 -6.888 -3.066 1922 4 1.622 -3.879 0 0 1.622 -3.879 -0.543 -2.850 1922 5 9.964 -1.404 0 0 9.964 -1.404 7.361 -0.814 1922 6 17.229 1.514 0 0 17.229 1.514 13.468 0.946 1922 7 19.303 -0.779 0 0 19.303 -0.779 16.272 -0.617 1922 8 18.350 -0.599 0 0 18.350 -0.599 16.542 0.786 1922 9 16.271 2.262 0 0 16.271 2.262 11.862 1.045 1922 10 9.312 1.442 0 0 9.312 1.442 6.571 1.894 1922 11 -0.619 -0.759 0 0 -0.619 -0.759 -4.372 -1.320 1922 12 -4.494 0.627 0 0 -4.494 0.627 -9.206 -0.891 1923 1 NaN NaN NaN NaN NaN NaN -7.595 2.275 1923 2 NaN NaN NaN NaN NaN NaN -10.796 -3.817 1923 3 -2.969 -2.340 0 0 -2.969 -2.340 -7.617 -3.795 1923 4 NaN NaN NaN NaN NaN NaN 1.408 -0.900 1923 5 NaN NaN NaN NaN NaN NaN 7.926 -0.249 1923 6 NaN NaN NaN NaN NaN NaN 10.181 -2.341 1923 7 NaN NaN NaN NaN NaN NaN 17.994 1.104 1923 8 NaN NaN NaN NaN NaN NaN 14.983 -0.773 1923 9 NaN NaN NaN NaN NaN NaN 11.075 0.258 1923 10 NaN NaN NaN NaN NaN NaN 3.066 -1.611 1923 11 NaN NaN NaN NaN NaN NaN -1.675 1.378 1923 12 NaN NaN NaN NaN NaN NaN -10.515 -2.200 1924 1 NaN NaN NaN NaN NaN NaN -12.060 -2.190 1924 2 NaN NaN NaN NaN NaN NaN -3.968 3.011 1924 3 NaN NaN NaN NaN NaN NaN -6.393 -2.571