% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32312 % Primary Name: SANTA FE % Record Type: TAVG % Country: United States % State: KS % Latitude: 37.55000 +/- 0.00500 % Longitude: -100.85000 +/- 0.00500 % Elevation (m): 899.16 +/- 10.00 % # of Months: 49 % % Alternate Names: Missing Station ID - 147195 % % IDs: coop - 147195 % ghcnd - USC00147195 % ncdc - 12002040 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 053b765c90fe97068fcca9986b189ac3 % Raw Data Hash: 1ccfc176e46d42b561ac5b9db18ac8cb % Adj Data Hash: 060b2b83b40e40992eae3b5d4e26ec0f % % 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 1912 10 NaN NaN NaN NaN NaN NaN 13.119 -0.108 1912 11 NaN NaN NaN NaN NaN NaN 6.086 0.945 1912 12 NaN NaN NaN NaN NaN NaN 0.572 -0.049 1913 1 NaN NaN NaN NaN NaN NaN -1.524 -0.308 1913 2 NaN NaN NaN NaN NaN NaN -3.767 -5.524 1913 3 NaN NaN NaN NaN NaN NaN 3.923 -1.496 1913 4 NaN NaN NaN NaN NaN NaN 12.558 0.904 1913 5 NaN NaN NaN NaN NaN NaN 18.907 1.694 1913 6 NaN NaN NaN NaN NaN NaN 22.225 -0.825 1913 7 NaN NaN NaN NaN NaN NaN 26.701 0.814 1913 8 NaN NaN NaN NaN NaN NaN 26.459 1.788 1913 9 NaN NaN NaN NaN NaN NaN 17.400 -2.412 1913 10 11.677 -1.653 0 0 11.677 -1.653 11.857 -1.370 1913 11 9.197 3.952 0 0 9.197 3.952 7.556 2.415 1913 12 0.358 -0.366 0 0 0.358 -0.366 -1.108 -1.729 1914 1 3.453 4.565 0 0 3.453 4.565 2.873 4.088 1914 2 -0.614 -2.475 0 0 -0.614 -2.475 0.020 -1.737 1914 3 6.038 0.515 0 0 6.038 0.515 5.575 0.155 1914 4 10.765 -0.993 0 0 10.765 -0.993 11.858 0.204 1914 5 16.155 -1.161 0 0 16.155 -1.161 16.516 -0.696 1914 6 23.866 0.711 1 0 NaN NaN 24.290 1.240 1914 7 24.963 -1.028 0 0 24.963 -1.028 25.051 -0.836 1914 8 NaN NaN NaN NaN NaN NaN 24.044 -0.626 1914 9 NaN NaN NaN NaN NaN NaN 21.412 1.601 1914 10 NaN NaN NaN NaN NaN NaN 13.806 0.579 1914 11 NaN NaN NaN NaN NaN NaN 7.429 2.288 1914 12 -4.934 -5.658 0 0 -4.934 -5.658 -3.418 -4.039 1915 1 -1.230 -0.118 0 0 -1.230 -0.118 -1.609 -0.394 1915 2 3.713 1.852 0 0 3.713 1.852 3.545 1.789 1915 3 0.490 -5.032 0 0 0.490 -5.032 -0.157 -5.577 1915 4 13.462 1.704 0 0 13.462 1.704 13.227 1.572 1915 5 14.169 -3.147 1 0 NaN NaN 13.885 -3.327 1915 6 20.318 -2.836 1 0 NaN NaN 20.053 -2.997 1915 7 23.555 -2.436 0 0 23.555 -2.436 22.778 -3.110 1915 8 21.187 -3.587 0 0 21.187 -3.587 20.671 -3.999 1915 9 19.692 -0.223 0 0 19.692 -0.223 19.068 -0.744 1915 10 13.889 0.559 0 0 13.889 0.559 14.010 0.784 1915 11 7.318 2.074 0 0 7.318 2.074 7.040 1.898 1915 12 0.068 -0.657 0 0 0.068 -0.657 0.952 0.331 1916 1 -4.066 -2.954 0 0 -4.066 -2.954 -3.793 -2.577 1916 2 1.511 -0.349 1 0 NaN NaN 2.409 0.652 1916 3 8.852 3.329 0 0 8.852 3.329 8.437 3.018 1916 4 9.631 -2.127 0 0 9.631 -2.127 9.881 -1.773 1916 5 NaN NaN NaN NaN NaN NaN 16.621 -0.591 1916 6 21.135 -2.019 0 0 21.135 -2.019 21.657 -1.393 1916 7 NaN NaN NaN NaN NaN NaN 26.641 0.754 1916 8 25.366 0.592 0 0 25.366 0.592 24.318 -0.353 1916 9 19.280 -0.635 0 0 19.280 -0.635 18.578 -1.233 1916 10 12.733 -0.597 0 0 12.733 -0.597 12.834 -0.393 1916 11 3.898 -1.346 0 0 3.898 -1.346 4.056 -1.085 1916 12 -2.402 -3.126 0 0 -2.402 -3.126 -1.738 -2.359 1917 1 -1.760 -0.648 0 0 -1.760 -0.648 -1.684 -0.468 1917 2 NaN NaN NaN NaN NaN NaN 1.522 -0.234 1917 3 4.715 -0.808 0 0 4.715 -0.808 3.792 -1.627 1917 4 10.173 -1.585 0 0 10.173 -1.585 10.139 -1.515 1917 5 13.615 -3.701 1 0 NaN NaN 12.893 -4.320 1917 6 NaN NaN NaN NaN NaN NaN 21.979 -1.072 1917 7 26.562 0.571 0 0 26.562 0.571 26.051 0.164 1917 8 NaN NaN NaN NaN NaN NaN 22.602 -2.068 1917 9 NaN NaN NaN NaN NaN NaN 19.563 -0.248 1917 10 9.884 -3.446 0 0 9.884 -3.446 10.799 -2.428 1917 11 8.172 2.927 0 0 8.172 2.927 7.800 2.659 1917 12 -2.129 -2.854 0 0 -2.129 -2.854 -0.755 -1.376 1918 1 -5.237 -4.125 1 0 NaN NaN -5.281 -4.065 1918 2 2.557 0.697 0 0 2.557 0.697 3.419 1.662 1918 3 8.908 3.386 0 0 8.908 3.386 8.274 2.855 1918 4 8.708 -3.050 0 0 8.708 -3.050 8.645 -3.009 1918 5 18.792 1.476 0 0 18.792 1.476 18.006 0.793 1918 6 24.313 1.159 0 0 24.313 1.159 24.847 1.796 1918 7 25.576 -0.415 0 0 25.576 -0.415 24.976 -0.911 1918 8 26.642 1.868 0 0 26.642 1.868 25.447 0.777 1918 9 NaN NaN NaN NaN NaN NaN 16.890 -2.921 1918 10 NaN NaN NaN NaN NaN NaN 14.798 1.571 1918 11 NaN NaN NaN NaN NaN NaN 3.559 -1.583 1918 12 NaN NaN NaN NaN NaN NaN -0.283 -0.904 1919 1 NaN NaN NaN NaN NaN NaN -4.499 -3.283 1919 2 NaN NaN NaN NaN NaN NaN -1.702 -3.459 1919 3 NaN NaN NaN NaN NaN NaN 5.351 -0.068 1919 4 NaN NaN NaN NaN NaN NaN 10.961 -0.693 1919 5 NaN NaN NaN NaN NaN NaN 15.733 -1.480 1919 6 NaN NaN NaN NaN NaN NaN 20.743 -2.307 1919 7 NaN NaN NaN NaN NaN NaN 25.243 -0.644 1919 8 NaN NaN NaN NaN NaN NaN 24.798 0.127