% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 39313 % Primary Name: POPLAR % Record Type: TAVG % Country: United States % State: ID % Latitude: 43.56670 +/- 0.00005 % Longitude: -111.61670 +/- 0.00005 % Elevation (m): 1676.40 +/- 0.15 % # of Months: 53 % % Alternate Names: Missing Station ID - 107240 % % IDs: coop - 107240 % ghcnd - USC00107240 % ncdc - 12001637 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: e4fc5bf641aa558e4aee9f62a550d14a % Raw Data Hash: 1d49f6ae4dd8eb174a095c8e76f78971 % Adj Data Hash: 901cce962dba5cde36f8388a7f2c861b % % 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 1908 3 NaN NaN NaN NaN NaN NaN -4.345 -0.523 1908 4 NaN NaN NaN NaN NaN NaN 3.506 1.198 1908 5 NaN NaN NaN NaN NaN NaN 6.401 -1.774 1908 6 NaN NaN NaN NaN NaN NaN 9.044 -3.479 1908 7 NaN NaN NaN NaN NaN NaN 17.090 0.201 1908 8 NaN NaN NaN NaN NaN NaN 14.321 -1.435 1908 9 NaN NaN NaN NaN NaN NaN 10.495 -0.321 1908 10 NaN NaN NaN NaN NaN NaN 3.607 -1.070 1908 11 NaN NaN NaN NaN NaN NaN -2.783 0.269 1908 12 NaN NaN NaN NaN NaN NaN -9.297 -0.982 1909 1 NaN NaN NaN NaN NaN NaN -7.151 2.719 1909 2 NaN NaN NaN NaN NaN NaN -6.438 0.541 1909 3 0.582 1.393 1 0 NaN NaN -4.040 -0.218 1909 4 3.460 -1.858 0 0 3.413 -1.905 -0.688 -2.996 1909 5 8.502 -2.685 0 0 8.455 -2.731 6.001 -2.175 1909 6 15.497 -0.037 0 0 15.450 -0.084 12.320 -0.203 1909 7 17.951 -1.950 0 0 17.904 -1.997 16.180 -0.710 1909 8 19.327 0.561 0 0 19.281 0.514 16.545 0.789 1909 9 13.133 -0.694 0 0 13.086 -0.741 10.367 -0.450 1909 10 7.355 -0.333 0 0 7.308 -0.380 5.307 0.630 1909 11 1.250 1.292 0 0 1.203 1.245 -1.686 1.367 1909 12 -9.087 -3.783 0 0 -9.134 -3.830 -13.166 -4.851 1910 1 -8.002 -1.142 0 0 -8.048 -1.189 -11.781 -1.911 1910 2 NaN NaN NaN NaN NaN NaN -10.384 -3.405 1910 3 5.719 6.530 1 0 NaN NaN 0.208 4.030 1910 4 8.388 3.070 0 0 8.341 3.023 5.437 3.129 1910 5 NaN NaN NaN NaN NaN NaN 8.695 0.519 1910 6 NaN NaN NaN NaN NaN NaN 12.741 0.218 1910 7 NaN NaN NaN NaN NaN NaN 18.009 1.119 1910 8 NaN NaN NaN NaN NaN NaN 14.353 -1.403 1910 9 NaN NaN NaN NaN NaN NaN 10.875 0.058 1910 10 NaN NaN NaN NaN NaN NaN 6.413 1.736 1910 11 NaN NaN NaN NaN NaN NaN -1.168 1.885 1910 12 NaN NaN NaN NaN NaN NaN -6.997 1.318 1911 1 NaN NaN NaN NaN NaN NaN -8.403 1.468 1911 2 NaN NaN NaN NaN NaN NaN -10.584 -3.605 1911 3 NaN NaN NaN NaN NaN NaN -3.501 0.321 1911 4 NaN NaN NaN NaN NaN NaN 1.113 -1.195 1911 5 NaN NaN NaN NaN NaN NaN 7.176 -0.999 1911 6 NaN NaN NaN NaN NaN NaN 12.484 -0.039 1911 7 18.983 -0.917 1 0 NaN NaN 15.451 -1.439 1911 8 17.918 -0.848 0 2 17.932 -0.835 13.998 -1.757 1911 9 15.202 1.374 0 0 15.215 1.388 9.375 -1.441 1911 10 3.998 -3.690 0 0 4.011 -3.677 3.078 -1.599 1911 11 -3.166 -3.125 0 0 -3.153 -3.111 -5.955 -2.902 1911 12 -6.734 -1.430 1 0 NaN NaN -10.870 -2.555 1912 1 -5.195 1.664 0 0 -5.182 1.678 -8.730 1.140 1912 2 NaN NaN NaN NaN NaN NaN -6.968 0.011 1912 3 -2.012 -1.200 0 0 -1.998 -1.187 -7.627 -3.806 1912 4 3.682 -1.637 0 0 3.695 -1.623 0.848 -1.460 1912 5 9.503 -1.683 0 0 9.517 -1.669 6.755 -1.420 1912 6 15.635 0.102 0 0 15.649 0.115 12.340 -0.183 1912 7 17.747 -2.153 0 0 17.760 -2.140 14.768 -2.121 1912 8 17.442 -1.325 0 0 17.456 -1.311 13.548 -2.208 1912 9 9.174 -4.654 0 0 9.187 -4.640 6.592 -4.224 1912 10 4.535 -3.153 0 0 4.548 -3.140 2.992 -1.685 1912 11 1.213 1.255 0 0 1.227 1.269 -1.670 1.382 1912 12 -7.172 -1.868 0 0 -7.158 -1.854 -9.587 -1.272 1913 1 -9.382 -2.523 0 0 -9.369 -2.509 -11.027 -1.157 1913 2 -8.580 -4.612 0 0 -8.567 -4.599 -11.387 -4.408 1913 3 -2.699 -1.887 0 0 -2.685 -1.874 -6.493 -2.671 1913 4 6.846 1.527 0 0 6.859 1.541 2.975 0.667 1913 5 11.623 0.436 0 0 11.636 0.450 8.638 0.462 1913 6 15.642 0.108 0 0 15.655 0.122 11.729 -0.793 1913 7 17.408 -2.492 0 0 17.422 -2.479 14.860 -2.030 1913 8 18.527 -0.239 0 0 18.541 -0.226 15.799 0.043 1913 9 12.433 -1.394 0 0 12.447 -1.380 9.851 -0.965 1913 10 4.277 -3.411 0 0 4.290 -3.398 2.947 -1.730 1913 11 1.053 1.095 0 0 1.067 1.109 -1.578 1.474 1913 12 -5.784 -0.480 0 0 -5.770 -0.466 -9.765 -1.450 1914 1 -3.297 3.563 0 0 -3.283 3.576 -7.061 2.809 1914 2 -4.995 -1.026 0 0 -4.981 -1.013 -7.834 -0.855 1914 3 0.398 1.210 0 0 0.412 1.223 -3.510 0.312 1914 4 6.142 0.823 0 0 6.155 0.837 3.504 1.196 1914 5 NaN NaN NaN NaN NaN NaN 9.310 1.135 1914 6 NaN NaN NaN NaN NaN NaN 10.754 -1.769 1914 7 NaN NaN NaN NaN NaN NaN 16.728 -0.162 1914 8 20.573 1.806 0 0 20.586 1.820 14.983 -0.773 1914 9 10.772 -3.056 0 0 10.785 -3.042 9.101 -1.715 1914 10 6.860 -0.828 0 0 6.873 -0.815 6.094 1.417 1914 11 1.455 1.497 0 0 1.469 1.510 -0.872 2.180 1914 12 -8.815 -3.511 0 0 -8.802 -3.497 -12.027 -3.712 1915 1 -6.239 0.621 0 0 -6.225 0.634 -9.848 0.022 1915 2 -2.266 1.702 0 0 -2.252 1.716 -3.935 3.044 1915 3 NaN NaN NaN NaN NaN NaN -2.183 1.639 1915 4 NaN NaN NaN NaN NaN NaN 6.344 4.036 1915 5 NaN NaN NaN NaN NaN NaN 6.936 -1.239 1915 6 NaN NaN NaN NaN NaN NaN 9.173 -3.350 1915 7 NaN NaN NaN NaN NaN NaN 14.298 -2.592 1915 8 NaN NaN NaN NaN NaN NaN 16.276 0.520 1915 9 NaN NaN NaN NaN NaN NaN 8.747 -2.070 1915 10 NaN NaN NaN NaN NaN NaN 6.342 1.665 1915 11 NaN NaN NaN NaN NaN NaN -3.413 -0.361 1915 12 NaN NaN NaN NaN NaN NaN -8.691 -0.376 1916 1 NaN NaN NaN NaN NaN NaN -13.742 -3.872 1916 2 NaN NaN NaN NaN NaN NaN -5.945 1.033