% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 38238 % Primary Name: LOWRY % Record Type: TAVG % Country: United States % State: ID % Latitude: 42.55000 +/- 0.00500 % Longitude: -117.00000 +/- 0.00500 % Elevation (m): 1432.56 +/- 0.15 % # of Months: 29 % % Alternate Names: Missing Station ID - 105427 % % IDs: coop - 105427 % ghcnd - USC00105427 % ncdc - 12001612 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f824b7b8a233ab13bb7c13f92f52f76e % Raw Data Hash: 057247155b0df3517f8dcb2285e8e2ec % Adj Data Hash: fdd4989a0bc223eb00abb1fc13711ef6 % % 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 1907 5 NaN NaN NaN NaN NaN NaN 10.913 -0.243 1907 6 NaN NaN NaN NaN NaN NaN 12.899 -2.983 1907 7 NaN NaN NaN NaN NaN NaN 19.773 -0.996 1907 8 NaN NaN NaN NaN NaN NaN 17.256 -2.308 1907 9 NaN NaN NaN NaN NaN NaN 13.849 -0.934 1907 10 NaN NaN NaN NaN NaN NaN 11.656 3.052 1907 11 NaN NaN NaN NaN NaN NaN 2.870 0.520 1907 12 NaN NaN NaN NaN NaN NaN 0.251 1.764 1908 1 NaN NaN NaN NaN NaN NaN -0.307 2.145 1908 2 NaN NaN NaN NaN NaN NaN 1.593 1.001 1908 3 NaN NaN NaN NaN NaN NaN 1.964 -0.484 1908 4 NaN NaN NaN NaN NaN NaN 6.983 0.923 1908 5 6.487 -4.044 1 0 NaN NaN 8.538 -2.618 1908 6 9.980 -5.277 0 0 9.980 -5.277 13.345 -2.537 1908 7 21.063 0.919 0 0 21.063 0.919 22.233 1.463 1908 8 14.705 -4.234 0 0 14.705 -4.234 19.215 -0.349 1908 9 10.113 -4.045 0 0 10.113 -4.045 14.371 -0.412 1908 10 4.253 -3.725 0 0 4.253 -3.725 7.403 -1.201 1908 11 -1.343 -3.068 1 0 NaN NaN 3.110 0.760 1908 12 -7.842 -5.703 1 0 NaN NaN -2.829 -1.316 1909 1 1.794 4.871 1 0 NaN NaN 0.665 3.117 1909 2 -0.273 -0.240 0 0 -0.273 -0.240 1.982 1.390 1909 3 3.252 1.430 0 0 3.252 1.430 2.437 -0.011 1909 4 2.665 -2.770 0 0 2.665 -2.770 5.001 -1.060 1909 5 7.500 -3.031 0 0 7.500 -3.031 9.528 -1.628 1909 6 15.210 -0.047 0 0 15.210 -0.047 15.871 -0.011 1909 7 17.410 -2.734 0 0 17.410 -2.734 19.260 -1.510 1909 8 19.684 0.746 1 0 NaN NaN 19.655 0.091 1909 9 15.087 0.928 0 0 15.087 0.928 14.671 -0.113 1909 10 11.515 3.536 0 0 11.515 3.536 9.433 0.830 1909 11 5.707 3.982 0 0 5.707 3.982 3.839 1.488 1909 12 -5.060 -2.921 0 0 -5.060 -2.921 -4.996 -3.483 1910 1 -4.794 -1.717 0 0 -4.794 -1.717 -6.192 -3.740 1910 2 -1.986 -1.953 0 0 -1.986 -1.953 -2.116 -2.708 1910 3 8.486 6.664 0 0 8.486 6.664 5.524 3.077 1910 4 11.660 6.225 1 0 NaN NaN 9.160 3.100 1910 5 13.611 3.080 0 0 13.611 3.080 13.021 1.865 1910 6 17.075 1.818 0 0 17.075 1.818 15.775 -0.107 1910 7 22.269 2.126 0 0 22.269 2.126 21.928 1.159 1910 8 17.408 -1.530 0 0 17.408 -1.530 18.302 -1.262 1910 9 14.373 0.215 0 0 14.373 0.215 14.116 -0.667 1910 10 NaN NaN NaN NaN NaN NaN 9.502 0.898 1910 11 NaN NaN NaN NaN NaN NaN 3.465 1.115 1910 12 NaN NaN NaN NaN NaN NaN 0.462 1.975 1911 1 NaN NaN NaN NaN NaN NaN -2.480 -0.029 1911 2 NaN NaN NaN NaN NaN NaN -2.802 -3.395 1911 3 NaN NaN NaN NaN NaN NaN 3.052 0.605 1911 4 NaN NaN NaN NaN NaN NaN 4.858 -1.202 1911 5 NaN NaN NaN NaN NaN NaN 8.946 -2.211 1911 6 NaN NaN NaN NaN NaN NaN 15.463 -0.419 1911 7 NaN NaN NaN NaN NaN NaN 20.777 0.008 1911 8 NaN NaN NaN NaN NaN NaN 18.012 -1.552 1911 9 NaN NaN NaN NaN NaN NaN 12.453 -2.331