% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36338 % Primary Name: BLACKS FORK RANGER STATION % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.96670 +/- 0.00005 % Longitude: -110.58330 +/- 0.00005 % Elevation (m): 2674.62 +/- 0.15 % # of Months: 46 % % Alternate Names: BLACKS FK RS % Missing Station ID - 420736 % % IDs: coop - 420736 % ghcnd - USC00420736 % ncdc - 12005484 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: cf3dd8e183269fc0011a96f7e7fb6364 % Raw Data Hash: 8e9cb20fd48a828d9b810e5f772e22cc % Adj Data Hash: af86ac7a87752aed4887b5cd1d6f68a0 % % 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 1915 4 NaN NaN NaN NaN NaN NaN 6.043 3.600 1915 5 NaN NaN NaN NaN NaN NaN 6.565 -1.494 1915 6 NaN NaN NaN NaN NaN NaN 9.879 -2.769 1915 7 NaN NaN NaN NaN NaN NaN 15.829 -1.029 1915 8 NaN NaN NaN NaN NaN NaN 15.652 -0.056 1915 9 NaN NaN NaN NaN NaN NaN 9.590 -1.654 1915 10 NaN NaN NaN NaN NaN NaN 6.570 1.180 1915 11 NaN NaN NaN NaN NaN NaN -1.153 0.490 1915 12 NaN NaN NaN NaN NaN NaN -6.022 0.110 1916 1 NaN NaN NaN NaN NaN NaN -9.315 -1.986 1916 2 NaN NaN NaN NaN NaN NaN -5.440 0.013 1916 3 NaN NaN NaN NaN NaN NaN -1.390 1.102 1916 4 7.893 8.787 1 0 NaN NaN 3.403 0.961 1916 5 NaN NaN NaN NaN NaN NaN 5.423 -2.636 1916 6 NaN NaN NaN NaN NaN NaN 10.829 -1.819 1916 7 NaN NaN NaN NaN NaN NaN 16.394 -0.464 1916 8 NaN NaN NaN NaN NaN NaN 14.467 -1.242 1916 9 NaN NaN NaN NaN NaN NaN 10.190 -1.055 1916 10 2.302 0.248 0 0 2.302 0.248 4.239 -1.151 1916 11 -5.655 -0.675 1 0 NaN NaN -4.070 -2.427 1916 12 -10.596 -1.128 0 0 -10.596 -1.128 -9.023 -2.891 1917 1 NaN NaN NaN NaN NaN NaN -12.200 -4.872 1917 2 -8.764 0.024 1 0 NaN NaN -7.783 -2.331 1917 3 -11.023 -5.194 1 0 NaN NaN -8.287 -5.795 1917 4 -4.032 -3.138 0 0 -4.032 -3.138 -0.627 -3.070 1917 5 -0.203 -4.925 1 0 NaN NaN 5.204 -2.856 1917 6 NaN NaN NaN NaN NaN NaN 10.781 -1.867 1917 7 NaN NaN NaN NaN NaN NaN 17.889 1.030 1917 8 NaN NaN NaN NaN NaN NaN 14.454 -1.255 1917 9 8.357 0.449 0 0 8.357 0.449 11.450 0.205 1917 10 4.999 2.946 0 0 4.999 2.946 6.074 0.684 1917 11 0.749 5.728 0 0 0.749 5.728 1.006 2.649 1917 12 -3.369 6.099 0 0 -3.369 6.099 -0.906 5.226 1918 1 -9.087 1.578 0 0 -9.087 1.578 -5.854 1.474 1918 2 NaN NaN NaN NaN NaN NaN -6.582 -1.130 1918 3 -3.611 2.218 0 0 -3.611 2.218 -0.906 1.587 1918 4 -3.742 -2.848 0 0 -3.742 -2.848 0.937 -1.505 1918 5 2.379 -2.344 0 0 2.379 -2.344 7.087 -0.972 1918 6 11.455 2.144 0 0 11.455 2.144 15.262 2.614 1918 7 11.561 -1.961 0 0 11.561 -1.961 16.394 -0.464 1918 8 10.621 -1.751 0 0 10.621 -1.751 14.352 -1.357 1918 9 7.102 -0.806 0 0 7.102 -0.806 11.599 0.355 1918 10 2.747 0.693 0 0 2.747 0.693 7.092 1.702 1918 11 -6.093 -1.114 0 0 -6.093 -1.114 -3.066 -1.422 1918 12 -7.073 2.395 1 0 NaN NaN -6.915 -0.783 1919 1 NaN NaN NaN NaN NaN NaN -6.806 0.522 1919 2 NaN NaN NaN NaN NaN NaN -5.505 -0.053 1919 3 NaN NaN NaN NaN NaN NaN -2.486 0.007 1919 4 -1.240 -0.346 0 0 -1.240 -0.346 3.229 0.786 1919 5 1.725 -2.998 1 0 NaN NaN 9.521 1.462 1919 6 9.025 -0.286 0 0 9.025 -0.286 13.892 1.244 1919 7 13.687 0.165 0 0 13.687 0.165 18.361 1.503 1919 8 12.266 -0.106 0 0 12.266 -0.106 15.959 0.250 1919 9 NaN NaN NaN NaN NaN NaN 12.005 0.760 1919 10 NaN NaN NaN NaN NaN NaN 1.705 -3.685 1919 11 NaN NaN NaN NaN NaN NaN -2.956 -1.313 1919 12 -7.350 2.118 0 0 -7.350 2.118 -9.098 -2.966 1920 1 -4.868 5.797 0 0 -4.868 5.797 -5.557 1.771 1920 2 -6.560 2.228 0 0 -6.560 2.228 -3.270 2.182 1920 3 -7.056 -1.227 0 0 -7.056 -1.227 -3.966 -1.473 1920 4 -4.030 -3.136 0 0 -4.030 -3.136 -0.977 -3.420 1920 5 3.189 -1.534 0 0 3.189 -1.534 7.679 -0.380 1920 6 7.777 -1.534 1 0 NaN NaN 11.555 -1.093 1920 7 12.353 -1.168 0 0 12.353 -1.168 17.128 0.270 1920 8 10.524 -1.848 1 0 NaN NaN 14.811 -0.898 1920 9 6.013 -1.895 0 0 6.013 -1.895 10.042 -1.203 1920 10 -0.141 -2.194 0 0 -0.141 -2.194 3.872 -1.518 1920 11 NaN NaN NaN NaN NaN NaN -2.449 -0.806 1920 12 NaN NaN NaN NaN NaN NaN -6.572 -0.441 1921 1 -11.019 -0.354 1 0 NaN NaN -5.357 1.971 1921 2 NaN NaN NaN NaN NaN NaN -4.400 1.052 1921 3 NaN NaN NaN NaN NaN NaN -0.243 2.250 1921 4 -2.902 -2.008 0 0 -2.902 -2.008 0.744 -1.699 1921 5 3.665 -1.058 0 0 3.665 -1.058 8.171 0.112 1921 6 9.410 0.099 0 0 9.410 0.099 13.090 0.442 1921 7 11.437 -2.085 0 0 11.437 -2.085 16.836 -0.022 1921 8 10.677 -1.695 0 0 10.677 -1.695 14.844 -0.864 1921 9 6.606 -1.302 1 0 NaN NaN 9.750 -1.494 1921 10 NaN NaN NaN NaN NaN NaN 8.249 2.859 1921 11 NaN NaN NaN NaN NaN NaN 0.733 2.376 1921 12 NaN NaN NaN NaN NaN NaN -3.624 2.507 1922 1 NaN NaN NaN NaN NaN NaN -11.477 -4.148 1922 2 NaN NaN NaN NaN NaN NaN -7.950 -2.498 1922 3 NaN NaN NaN NaN NaN NaN -6.125 -3.632 1922 4 NaN NaN NaN NaN NaN NaN -1.035 -3.477 1922 5 NaN NaN NaN NaN NaN NaN 7.441 -0.618 1922 6 NaN NaN NaN NaN NaN NaN 13.781 1.133 1922 7 NaN NaN NaN NaN NaN NaN 16.384 -0.474 1922 8 NaN NaN NaN NaN NaN NaN 16.494 0.786 1922 9 NaN NaN NaN NaN NaN NaN 12.709 1.465