% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26841 % Primary Name: ROUND ROCK % Record Type: TAVG % Country: United States % State: TX % Latitude: 30.50000 +/- 0.00005 % Longitude: -97.68330 +/- 0.00005 % Elevation (m): 244.72 +/- 44.89 % # of Months: 29 % % Alternate Names: Missing Station ID - 417790 % % IDs: coop - 417790 % ghcnd - USC00417790 % ncdc - 12005366 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 503f86f78aa6058b42ccb06cb079c71a % Raw Data Hash: cf5fb6e75c4c6e5d27559e276b047916 % Adj Data Hash: 83e2fb72779ecc29c870434487934cf9 % % 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 1892 1 NaN NaN NaN NaN NaN NaN 6.291 -3.482 1892 2 NaN NaN NaN NaN NaN NaN 14.770 2.816 1892 3 NaN NaN NaN NaN NaN NaN 13.892 -2.165 1892 4 NaN NaN NaN NaN NaN NaN 21.954 1.653 1892 5 NaN NaN NaN NaN NaN NaN 24.328 0.433 1892 6 NaN NaN NaN NaN NaN NaN 26.867 -0.551 1892 7 NaN NaN NaN NaN NaN NaN 28.236 -0.791 1892 8 NaN NaN NaN NaN NaN NaN 26.725 -2.165 1892 9 NaN NaN NaN NaN NaN NaN 24.851 -1.200 1892 10 NaN NaN NaN NaN NaN NaN 21.239 0.418 1892 11 NaN NaN NaN NaN NaN NaN 15.410 0.302 1892 12 NaN NaN NaN NaN NaN NaN 10.769 -0.530 1893 1 11.023 0.079 0 0 11.023 0.079 9.541 -0.232 1893 2 12.466 -0.659 1 0 NaN NaN 11.150 -0.805 1893 3 16.258 -0.970 0 0 16.258 -0.970 15.403 -0.654 1893 4 24.087 2.615 0 0 24.087 2.615 22.220 1.919 1893 5 24.784 -0.282 0 0 24.784 -0.282 23.041 -0.854 1893 6 27.948 -0.641 0 0 27.948 -0.641 26.665 -0.753 1893 7 31.137 0.939 1 0 NaN NaN 29.013 -0.014 1893 8 NaN NaN NaN NaN NaN NaN 27.847 -1.043 1893 9 26.477 -0.744 1 0 NaN NaN 27.059 1.008 1893 10 NaN NaN NaN NaN NaN NaN 20.267 -0.555 1893 11 14.400 -1.879 0 0 14.400 -1.879 13.683 -1.426 1893 12 14.869 2.399 1 0 NaN NaN 13.549 2.250 1894 1 11.928 0.985 1 0 NaN NaN 11.126 1.354 1894 2 NaN NaN NaN NaN NaN NaN 9.251 -2.704 1894 3 17.727 0.500 0 0 17.727 0.500 17.037 0.980 1894 4 22.813 1.342 0 0 22.813 1.342 22.320 2.019 1894 5 26.008 0.942 0 0 26.008 0.942 24.064 0.169 1894 6 27.350 -1.239 1 0 NaN NaN 26.612 -0.807 1894 7 30.310 0.112 0 0 30.310 0.112 28.207 -0.819 1894 8 29.516 -0.545 1 0 NaN NaN 26.743 -2.147 1894 9 28.315 1.093 1 0 NaN NaN 25.476 -0.575 1894 10 NaN NaN NaN NaN NaN NaN 21.681 0.859 1894 11 16.975 0.696 0 0 16.975 0.696 15.118 0.010 1894 12 14.563 2.093 0 0 14.563 2.093 12.517 1.218 1895 1 11.100 0.157 0 0 11.100 0.157 10.196 0.424 1895 2 7.678 -5.448 1 0 NaN NaN 5.610 -6.345 1895 3 15.657 -1.571 0 0 15.657 -1.571 15.593 -0.464 1895 4 20.759 -0.712 1 0 NaN NaN 20.108 -0.193 1895 5 NaN NaN NaN NaN NaN NaN 22.028 -1.867 1895 6 26.926 -1.663 1 0 NaN NaN 26.483 -0.935 1895 7 30.717 0.519 1 0 NaN NaN 28.895 -0.132 1895 8 30.913 0.852 0 0 30.913 0.852 29.136 0.246 1895 9 28.425 1.204 0 0 28.425 1.204 27.145 1.095 1895 10 17.900 -4.093 0 0 17.900 -4.093 19.101 -1.721 1895 11 NaN NaN NaN NaN NaN NaN 13.191 -1.917 1895 12 NaN NaN NaN NaN NaN NaN 10.902 -0.397 1896 1 NaN NaN NaN NaN NaN NaN 10.176 0.403 1896 2 NaN NaN NaN NaN NaN NaN 11.807 -0.147 1896 3 NaN NaN NaN NaN NaN NaN 14.698 -1.359 1896 4 NaN NaN NaN NaN NaN NaN 20.682 0.382 1896 5 NaN NaN NaN NaN NaN NaN 25.726 1.831 1896 6 NaN NaN NaN NaN NaN NaN 28.967 1.548 1896 7 NaN NaN NaN NaN NaN NaN 28.884 -0.143 1896 8 NaN NaN NaN NaN NaN NaN 29.374 0.484 1896 9 NaN NaN NaN NaN NaN NaN 25.929 -0.121 1896 10 NaN NaN NaN NaN NaN NaN 19.371 -1.451