% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39563 % Primary Name: SPRING HILL % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.81670 +/- 0.00005 % Longitude: -116.28330 +/- 0.00005 % Elevation (m): 1099.41 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 108630 % % IDs: coop - 108630 % ghcnd - USC00108630 % ncdc - 12001663 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: a42759f461284cb815374e2eec16e6ea % Raw Data Hash: f11f8c8f4f9819eed4d7c1fa5de8f27a % Adj Data Hash: 258367165f281fd0dfb047a66b57351d % % 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 1911 10 NaN NaN NaN NaN NaN NaN 6.018 -1.282 1911 11 NaN NaN NaN NaN NaN NaN -1.041 -1.577 1911 12 NaN NaN NaN NaN NaN NaN -4.888 -0.952 1912 1 NaN NaN NaN NaN NaN NaN -5.845 -0.773 1912 2 NaN NaN NaN NaN NaN NaN -1.039 0.765 1912 3 NaN NaN NaN NaN NaN NaN -0.809 -2.015 1912 4 NaN NaN NaN NaN NaN NaN 5.006 -0.674 1912 5 NaN NaN NaN NaN NaN NaN 10.255 -0.489 1912 6 NaN NaN NaN NaN NaN NaN 15.320 0.271 1912 7 NaN NaN NaN NaN NaN NaN 17.131 -2.296 1912 8 NaN NaN NaN NaN NaN NaN 16.036 -2.250 1912 9 NaN NaN NaN NaN NaN NaN 10.272 -3.296 1912 10 8.631 -2.523 0 0 8.631 -2.523 5.692 -1.608 1912 11 5.823 1.433 0 0 5.823 1.433 1.712 1.176 1912 12 0.411 0.493 0 0 0.411 0.493 -4.688 -0.752 1913 1 -1.358 -0.139 0 0 -1.358 -0.139 -6.918 -1.845 1913 2 -0.661 -2.710 1 0 NaN NaN -5.107 -3.303 1913 3 3.570 -1.490 0 0 3.570 -1.490 -1.670 -2.876 1913 4 10.380 0.847 0 0 10.380 0.847 5.650 -0.030 1913 5 14.687 0.089 0 0 14.687 0.089 11.566 0.821 1913 6 18.005 -0.898 0 0 18.005 -0.898 14.493 -0.557 1913 7 21.019 -2.262 0 0 21.019 -2.262 18.010 -1.418 1913 8 22.994 0.854 0 0 22.994 0.854 18.838 0.552 1913 9 17.338 -0.084 0 0 17.338 -0.084 13.376 -0.193 1913 10 8.702 -2.452 0 0 8.702 -2.452 5.571 -1.729 1913 11 5.092 0.702 0 0 5.092 0.702 1.896 1.360 1913 12 -2.556 -2.474 0 0 -2.556 -2.474 -5.546 -1.610 1914 1 NaN NaN NaN NaN NaN NaN -2.327 2.745 1914 2 3.585 1.535 1 0 NaN NaN -1.887 -0.083 1914 3 6.774 1.714 0 0 6.774 1.714 2.497 1.291 1914 4 9.603 0.070 0 0 9.603 0.070 6.571 0.891 1914 5 15.903 1.305 0 0 15.903 1.305 12.583 1.839 1914 6 16.912 -1.991 0 0 16.912 -1.991 13.121 -1.928 1914 7 25.039 1.758 0 0 25.039 1.758 20.239 0.812 1914 8 23.908 1.769 0 0 23.908 1.769 18.400 0.114 1914 9 15.643 -1.779 0 0 15.643 -1.779 12.029 -1.539 1914 10 10.715 -0.439 0 0 10.715 -0.439 8.766 1.466 1914 11 NaN NaN NaN NaN NaN NaN 1.170 0.633 1914 12 NaN NaN NaN NaN NaN NaN -8.563 -4.627 1915 1 NaN NaN NaN NaN NaN NaN -6.628 -1.555 1915 2 NaN NaN NaN NaN NaN NaN 1.205 3.009 1915 3 NaN NaN NaN NaN NaN NaN 3.435 2.228 1915 4 NaN NaN NaN NaN NaN NaN 8.820 3.140 1915 5 11.695 -2.903 1 0 NaN NaN 9.551 -1.194 1915 6 16.070 -2.833 0 0 16.070 -2.833 12.483 -2.566 1915 7 NaN NaN NaN NaN NaN NaN 17.557 -1.871 1915 8 NaN NaN NaN NaN NaN NaN 20.788 2.503 1915 9 NaN NaN NaN NaN NaN NaN 12.153 -1.415 1915 10 NaN NaN NaN NaN NaN NaN 8.616 1.316 1915 11 NaN NaN NaN NaN NaN NaN -0.376 -0.913 1915 12 NaN NaN NaN NaN NaN NaN -4.076 -0.140 1916 1 NaN NaN NaN NaN NaN NaN -8.043 -2.970 1916 2 NaN NaN NaN NaN NaN NaN -0.997 0.807 1916 3 NaN NaN NaN NaN NaN NaN 2.069 0.863 1916 4 NaN NaN NaN NaN NaN NaN 6.285 0.605 1916 5 NaN NaN NaN NaN NaN NaN 8.006 -2.738 1916 6 NaN NaN NaN NaN NaN NaN 12.499 -2.551