% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39059 % Primary Name: ELLERSLIE % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.30000 +/- 0.00005 % Longitude: -115.78330 +/- 0.00005 % Elevation (m): 1066.80 +/- 0.15 % # of Months: 42 % % Alternate Names: Missing Station ID - 102898 % % IDs: coop - 102898 % ghcnd - USC00102898 % ncdc - 12001571 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: f9bca6a977c7a862c8635356c939b8cb % Raw Data Hash: 127a7e7d729ae14ccdb2348a1cd0d48f % Adj Data Hash: 64aa746adafe08cdfc3e80f556026766 % % 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 1904 1 NaN NaN NaN NaN NaN NaN -3.049 0.187 1904 2 NaN NaN NaN NaN NaN NaN 1.090 1.447 1904 3 NaN NaN NaN NaN NaN NaN 1.113 -1.008 1904 4 NaN NaN NaN NaN NaN NaN 6.876 0.401 1904 5 NaN NaN NaN NaN NaN NaN 11.686 0.046 1904 6 NaN NaN NaN NaN NaN NaN 14.937 -1.404 1904 7 NaN NaN NaN NaN NaN NaN 19.931 -1.334 1904 8 NaN NaN NaN NaN NaN NaN 20.648 0.690 1904 9 NaN NaN NaN NaN NaN NaN 15.529 0.680 1904 10 NaN NaN NaN NaN NaN NaN 9.532 0.910 1904 11 NaN NaN NaN NaN NaN NaN 4.452 2.326 1904 12 NaN NaN NaN NaN NaN NaN -1.872 0.215 1905 1 0.252 1.744 0 0 0.252 1.744 -1.100 2.137 1905 2 -0.218 -1.606 0 0 -0.218 -1.606 -0.840 -0.483 1905 3 7.348 3.483 0 0 7.348 3.483 3.960 1.840 1905 4 9.926 1.706 0 0 9.926 1.706 7.442 0.967 1905 5 11.541 -1.843 0 0 11.541 -1.843 10.181 -1.459 1905 6 15.685 -2.400 0 0 15.685 -2.400 14.529 -1.812 1905 7 22.204 -0.805 0 0 22.204 -0.805 21.927 0.661 1905 8 22.563 0.861 0 0 22.563 0.861 21.033 1.075 1905 9 18.111 1.519 0 0 18.111 1.519 15.315 0.467 1905 10 8.333 -2.033 0 0 8.333 -2.033 6.292 -2.330 1905 11 4.519 0.648 0 0 4.519 0.648 1.499 -0.627 1905 12 -3.584 -3.242 0 0 -3.584 -3.242 -5.049 -2.963 1906 1 -1.816 -0.324 0 0 -1.816 -0.324 -3.606 -0.369 1906 2 -0.337 -1.725 0 0 -0.337 -1.725 -0.332 0.025 1906 3 2.552 -1.313 0 0 2.552 -1.313 -0.138 -2.258 1906 4 10.115 1.895 0 0 10.115 1.895 7.686 1.210 1906 5 11.844 -1.540 0 0 11.844 -1.540 11.178 -0.461 1906 6 14.955 -3.130 0 0 14.955 -3.130 13.691 -2.650 1906 7 23.537 0.527 0 0 23.537 0.527 23.055 1.790 1906 8 21.692 -0.010 0 0 21.692 -0.010 20.037 0.080 1906 9 17.320 0.728 0 0 17.320 0.728 15.289 0.441 1906 10 12.008 1.642 0 0 12.008 1.642 9.602 0.980 1906 11 2.104 -1.766 0 0 2.104 -1.766 0.554 -1.572 1906 12 1.971 2.313 0 0 1.971 2.313 0.425 2.512 1907 1 -2.063 -0.570 0 0 -2.063 -0.570 -3.778 -0.542 1907 2 5.352 3.964 0 0 5.352 3.964 4.237 4.594 1907 3 NaN NaN NaN NaN NaN NaN 1.987 -0.133 1907 4 8.881 0.661 1 0 NaN NaN 6.804 0.328 1907 5 13.054 -0.330 1 0 NaN NaN 11.441 -0.199 1907 6 14.228 -3.856 0 0 14.228 -3.856 12.934 -3.406 1907 7 21.265 -1.745 0 0 21.265 -1.745 20.202 -1.064 1907 8 19.058 -2.644 0 0 19.058 -2.644 17.875 -2.083 1907 9 15.852 -0.741 0 0 15.852 -0.741 13.976 -0.873 1907 10 14.192 3.825 0 0 14.192 3.825 11.587 2.964 1907 11 4.900 1.030 0 0 4.900 1.030 2.611 0.485 1907 12 1.247 1.589 0 0 1.247 1.589 -0.554 1.532 1908 1 0.831 2.324 0 0 0.831 2.324 -1.347 1.890 1908 2 NaN NaN NaN NaN NaN NaN 0.603 0.960 1908 3 4.552 0.687 0 0 4.552 0.687 1.823 -0.298 1908 4 10.233 2.013 0 0 10.233 2.013 7.430 0.954 1908 5 14.692 1.308 1 0 NaN NaN 9.164 -2.476 1908 6 NaN NaN NaN NaN NaN NaN 13.261 -3.079 1908 7 NaN NaN NaN NaN NaN NaN 22.129 0.863 1908 8 NaN NaN NaN NaN NaN NaN 19.064 -0.894 1908 9 NaN NaN NaN NaN NaN NaN 14.262 -0.586 1908 10 NaN NaN NaN NaN NaN NaN 7.370 -1.253 1908 11 NaN NaN NaN NaN NaN NaN 2.750 0.623 1908 12 -1.353 -1.011 0 0 -1.353 -1.011 -2.915 -0.828 1909 1 0.576 2.068 0 0 0.576 2.068 0.149 3.385 1909 2 NaN NaN NaN NaN NaN NaN 1.045 1.402 1909 3 5.745 1.881 0 0 5.745 1.881 2.358 0.238 1909 4 NaN NaN NaN NaN NaN NaN 4.854 -1.622 1909 5 NaN NaN NaN NaN NaN NaN 9.829 -1.811 1909 6 NaN NaN NaN NaN NaN NaN 16.513 0.172 1909 7 NaN NaN NaN NaN NaN NaN 20.263 -1.003 1909 8 NaN NaN NaN NaN NaN NaN 20.359 0.401 1909 9 NaN NaN NaN NaN NaN NaN 14.417 -0.431 1909 10 NaN NaN NaN NaN NaN NaN 9.299 0.676 1909 11 NaN NaN NaN NaN NaN NaN 3.582 1.456 1909 12 NaN NaN NaN NaN NaN NaN -5.866 -3.780 1910 1 NaN NaN NaN NaN NaN NaN -6.326 -3.089 1910 2 NaN NaN NaN NaN NaN NaN -3.401 -3.045 1910 3 NaN NaN NaN NaN NaN NaN 5.499 3.379