% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 35579 % Primary Name: LEHI % Record Type: TAVG % Country: United States % State: UT % Latitude: 40.38330 +/- 0.00005 % Longitude: -111.85000 +/- 0.00005 % Elevation (m): 1386.84 +/- 0.15 % # of Months: 109 % % Alternate Names: Missing Station ID - 425034 % % IDs: coop - 425034 % ghcnd - USC00425034 % ncdc - 12005568 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: d944f8cd46dcae216863a01616af8366 % Raw Data Hash: 6568cbb1b8544d73e4bca236a0afd5f8 % Adj Data Hash: 5bf5600c314412436f67820513bb65ce % % 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 1 NaN NaN NaN NaN NaN NaN -3.715 -1.550 1913 2 NaN NaN NaN NaN NaN NaN -1.269 -1.911 1913 3 NaN NaN NaN NaN NaN NaN 1.849 -2.162 1913 4 NaN NaN NaN NaN NaN NaN 8.971 0.336 1913 5 NaN NaN NaN NaN NaN NaN 15.041 0.806 1913 6 NaN NaN NaN NaN NaN NaN 18.214 -1.153 1913 7 NaN NaN NaN NaN NaN NaN 22.288 -2.182 1913 8 NaN NaN NaN NaN NaN NaN 22.982 -0.164 1913 9 NaN NaN NaN NaN NaN NaN 16.871 -0.918 1913 10 NaN NaN NaN NaN NaN NaN 9.501 -1.479 1913 11 NaN NaN NaN NaN NaN NaN 5.017 1.304 1913 12 NaN NaN NaN NaN NaN NaN -3.090 -1.901 1914 1 -0.298 2.375 0 0 -0.298 2.375 -0.060 2.105 1914 2 -0.746 -0.880 0 0 -0.746 -0.880 0.239 -0.403 1914 3 5.589 2.087 0 0 5.589 2.087 5.563 1.552 1914 4 10.232 2.106 0 0 10.232 2.106 9.640 1.006 1914 5 15.545 1.818 0 0 15.545 1.818 15.852 1.616 1914 6 17.792 -1.068 0 0 17.792 -1.068 17.488 -1.879 1914 7 21.758 -2.203 0 0 21.758 -2.203 23.768 -0.702 1914 8 21.024 -1.613 0 0 21.024 -1.613 23.044 -0.102 1914 9 16.263 -1.017 0 0 16.263 -1.017 16.694 -1.095 1914 10 11.326 0.854 0 0 11.326 0.854 12.440 1.459 1914 11 3.100 -0.105 0 0 3.100 -0.105 4.690 0.977 1914 12 -3.715 -2.018 0 0 -3.715 -2.018 -4.507 -3.318 1915 1 -5.331 -2.657 0 0 -5.331 -2.657 -3.638 -1.473 1915 2 0.995 0.861 0 0 0.995 0.861 2.409 1.767 1915 3 6.203 2.701 1 0 NaN NaN 5.033 1.022 1915 4 13.172 5.046 1 0 NaN NaN 11.821 3.186 1915 5 12.785 -0.942 0 0 12.785 -0.942 12.771 -1.465 1915 6 16.712 -2.147 0 0 16.712 -2.147 16.780 -2.588 1915 7 21.712 -2.250 0 0 21.712 -2.250 23.162 -1.308 1915 8 22.437 -0.201 0 0 22.437 -0.201 23.703 0.557 1915 9 15.667 -1.613 0 0 15.667 -1.613 16.231 -1.558 1915 10 11.120 0.648 0 0 11.120 0.648 12.236 1.256 1915 11 4.200 0.995 0 0 4.200 0.995 4.520 0.807 1915 12 -0.877 0.821 0 0 -0.877 0.821 -0.647 0.542 1916 1 -3.468 -0.795 0 0 -3.468 -0.795 -3.855 -1.690 1916 2 1.580 1.447 1 0 NaN NaN 1.062 0.420 1916 3 6.626 3.124 1 0 NaN NaN 5.260 1.250 1916 4 9.956 1.830 0 0 9.956 1.830 9.381 0.747 1916 5 11.608 -2.120 0 0 11.608 -2.120 11.910 -2.325 1916 6 17.352 -1.507 0 0 17.352 -1.507 17.466 -1.902 1916 7 22.102 -1.860 0 0 22.102 -1.860 23.933 -0.536 1916 8 20.804 -1.834 0 0 20.804 -1.834 21.840 -1.306 1916 9 15.909 -1.371 0 0 15.909 -1.371 17.466 -0.323 1916 10 8.929 -1.543 0 0 8.929 -1.543 9.605 -1.375 1916 11 -0.324 -3.529 0 0 -0.324 -3.529 1.355 -2.359 1916 12 -4.048 -2.350 0 0 -4.048 -2.350 -3.436 -2.247 1917 1 -9.402 -6.729 0 0 -9.402 -6.729 -7.543 -5.378 1917 2 -3.745 -3.879 0 0 -3.745 -3.879 -2.196 -2.838 1917 3 -0.773 -4.275 0 0 -0.773 -4.275 -1.268 -5.279 1917 4 6.900 -1.226 0 0 6.900 -1.226 6.041 -2.593 1917 5 11.283 -2.445 0 0 11.283 -2.445 11.620 -2.616 1917 6 16.864 -1.995 0 0 16.864 -1.995 17.376 -1.992 1917 7 24.229 0.268 0 0 24.229 0.268 25.446 0.976 1917 8 20.571 -2.066 0 0 20.571 -2.066 22.226 -0.920 1917 9 17.202 -0.078 0 0 17.202 -0.078 17.898 0.109 1917 10 9.834 -0.638 0 0 9.834 -0.638 11.903 0.923 1917 11 4.172 0.967 0 0 4.172 0.967 5.213 1.500 1917 12 1.962 3.660 1 0 NaN NaN 3.860 5.049 1918 1 -3.320 -0.647 0 0 -3.320 -0.647 -0.709 1.456 1918 2 -2.681 -2.814 1 0 NaN NaN -0.755 -1.397 1918 3 5.430 1.927 0 0 5.430 1.927 5.304 1.293 1918 4 8.165 0.039 0 0 8.165 0.039 7.184 -1.451 1918 5 12.906 -0.822 0 0 12.906 -0.822 12.854 -1.382 1918 6 21.468 2.609 0 0 21.468 2.609 22.104 2.737 1918 7 21.367 -2.594 0 0 21.367 -2.594 23.629 -0.840 1918 8 19.672 -2.965 0 0 19.672 -2.965 21.181 -1.965 1918 9 16.393 -0.887 0 0 16.393 -0.887 18.232 0.443 1918 10 11.452 0.980 0 0 11.452 0.980 12.574 1.594 1918 11 1.579 -1.626 0 0 1.579 -1.626 2.602 -1.112 1918 12 -3.550 -1.853 0 0 -3.550 -1.853 -2.088 -0.899 1919 1 -4.065 -1.392 0 0 -4.065 -1.392 -1.578 0.587 1919 2 -0.618 -0.751 0 0 -0.618 -0.751 0.668 0.026 1919 3 4.919 1.417 0 0 4.919 1.417 3.766 -0.245 1919 4 9.706 1.580 0 0 9.706 1.580 9.783 1.149 1919 5 15.605 1.878 0 0 15.605 1.878 16.190 1.954 1919 6 20.024 1.165 0 0 20.024 1.165 20.904 1.536 1919 7 23.960 -0.002 0 0 23.960 -0.002 25.790 1.320 1919 8 19.565 -3.072 0 0 19.565 -3.072 23.747 0.601 1919 9 16.383 -0.897 0 0 16.383 -0.897 18.237 0.448 1919 10 4.849 -5.623 0 0 4.849 -5.623 7.026 -3.954 1919 11 3.030 -0.175 0 0 3.030 -0.175 2.961 -0.753 1919 12 -4.391 -2.694 0 0 -4.391 -2.694 -4.823 -3.634 1920 1 -4.024 -1.351 0 0 -4.024 -1.351 -1.244 0.921 1920 2 2.419 2.285 0 0 2.419 2.285 2.306 1.664 1920 3 2.802 -0.701 0 0 2.802 -0.701 2.344 -1.667 1920 4 5.322 -2.804 0 0 5.322 -2.804 5.172 -3.463 1920 5 12.746 -0.981 0 0 12.746 -0.981 13.186 -1.049 1920 6 14.793 -4.066 1 0 NaN NaN 17.714 -1.654 1920 7 23.171 -0.791 0 0 23.171 -0.791 24.674 0.205 1920 8 21.353 -1.284 1 0 NaN NaN 22.300 -0.846 1920 9 14.182 -3.098 0 0 14.182 -3.098 16.973 -0.816 1920 10 NaN NaN NaN NaN NaN NaN 9.263 -1.718 1920 11 5.026 1.821 0 0 5.026 1.821 3.705 -0.008 1920 12 -0.033 1.665 0 0 -0.033 1.665 -1.348 -0.159 1921 1 0.102 2.775 0 0 0.102 2.775 0.123 2.288 1921 2 1.160 1.027 0 0 1.160 1.027 1.550 0.908 1921 3 NaN NaN NaN NaN NaN NaN 5.817 1.806 1921 4 7.326 -0.800 0 0 7.326 -0.800 6.645 -1.990 1921 5 14.414 0.686 0 0 14.414 0.686 14.025 -0.211 1921 6 19.933 1.073 0 0 19.933 1.073 19.766 0.398 1921 7 23.260 -0.702 0 0 23.260 -0.702 24.659 0.189 1921 8 NaN NaN NaN NaN NaN NaN 22.452 -0.694 1921 9 14.562 -2.719 0 0 14.562 -2.719 15.957 -1.832 1921 10 11.615 1.143 0 0 11.615 1.143 13.336 2.355 1921 11 8.048 4.843 1 0 NaN NaN 6.223 2.510 1921 12 2.621 4.319 0 0 2.621 4.319 1.104 2.293 1922 1 -6.811 -4.137 0 0 -6.811 -4.137 -6.958 -4.793 1922 2 1.346 1.212 0 0 1.346 1.212 -2.104 -2.745 1922 3 1.972 -1.530 0 0 1.972 -1.530 0.245 -3.766 1922 4 7.676 -0.450 1 0 NaN NaN 5.049 -3.585 1922 5 14.279 0.552 0 0 14.279 0.552 13.592 -0.644 1922 6 23.129 4.270 0 0 23.129 4.270 20.618 1.251 1922 7 24.319 0.357 0 0 24.319 0.357 24.118 -0.352 1922 8 24.324 1.687 0 0 24.324 1.687 23.643 0.497 1922 9 19.458 2.177 0 0 19.458 2.177 19.260 1.471 1922 10 13.425 2.953 0 0 13.425 2.953 12.284 1.304 1922 11 2.579 -0.626 0 0 2.579 -0.626 2.377 -1.336 1922 12 -0.588 1.109 0 0 -0.588 1.109 -0.536 0.653 1923 1 0.106 2.779 0 0 0.106 2.779 0.524 2.689 1923 2 -4.602 -4.736 0 0 -4.602 -4.736 -3.690 -4.332 1923 3 2.537 -0.965 0 0 2.537 -0.965 1.218 -2.793 1923 4 8.946 0.820 0 0 8.946 0.820 7.309 -1.325 1923 5 NaN NaN NaN NaN NaN NaN 14.106 -0.130 1923 6 NaN NaN NaN NaN NaN NaN 16.113 -3.255 1923 7 NaN NaN NaN NaN NaN NaN 24.908 0.438 1923 8 NaN NaN NaN NaN NaN NaN 21.977 -1.169 1923 9 NaN NaN NaN NaN NaN NaN 17.061 -0.728 1923 10 NaN NaN NaN NaN NaN NaN 8.764 -2.216 1923 11 NaN NaN NaN NaN NaN NaN 4.756 1.043 1923 12 NaN NaN NaN NaN NaN NaN -2.789 -1.600 1924 1 NaN NaN NaN NaN NaN NaN -4.854 -2.689 1924 2 NaN NaN NaN NaN NaN NaN 3.354 2.712 1924 3 NaN NaN NaN NaN NaN NaN 0.842 -3.169 1924 4 NaN NaN NaN NaN NaN NaN 7.948 -0.686