% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40669 % Primary Name: ROOSEVELT % Record Type: TAVG % Country: United States % State: ID % Latitude: 44.95000 +/- 0.00500 % Longitude: -115.00000 +/- 0.00500 % Elevation (m): 2295.32 +/- 372.70 % # of Months: 68 % % Alternate Names: Missing Station ID - 107878 % % IDs: coop - 107878 % ghcnd - USC00107878 % ncdc - 12001648 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: dbaa1afcdecd02696413ed5a54901104 % Raw Data Hash: dc1010d25a2cdc0b23b0d6cd0338097d % Adj Data Hash: 607e9306a71f67e543052cac880c0314 % % 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 1901 9 NaN NaN NaN NaN NaN NaN 7.535 -2.599 1901 10 NaN NaN NaN NaN NaN NaN 6.889 2.738 1901 11 NaN NaN NaN NaN NaN NaN -0.927 2.368 1901 12 NaN NaN NaN NaN NaN NaN -7.723 0.937 1902 1 NaN NaN NaN NaN NaN NaN -10.481 -0.374 1902 2 NaN NaN NaN NaN NaN NaN -4.756 2.118 1902 3 NaN NaN NaN NaN NaN NaN -5.664 -2.012 1902 4 NaN NaN NaN NaN NaN NaN 1.416 -0.535 1902 5 NaN NaN NaN NaN NaN NaN 7.601 0.308 1902 6 NaN NaN NaN NaN NaN NaN 10.785 -0.870 1902 7 NaN NaN NaN NaN NaN NaN 13.910 -2.107 1902 8 NaN NaN NaN NaN NaN NaN 13.987 -0.839 1902 9 2.783 -7.108 1 0 NaN NaN 9.062 -1.072 1902 10 5.302 1.395 0 0 5.302 1.395 5.000 0.849 1902 11 -3.480 0.058 0 0 -3.480 0.058 -3.809 -0.514 1902 12 -5.695 3.207 0 0 -5.695 3.207 -8.657 0.003 1903 1 -5.382 4.967 1 0 NaN NaN -9.069 1.038 1903 2 -8.698 -1.582 1 0 NaN NaN -11.870 -4.996 1903 3 -3.453 0.441 0 0 -3.453 0.441 -5.114 -1.462 1903 4 -1.952 -3.661 0 0 -1.952 -3.661 0.672 -1.279 1903 5 NaN NaN NaN NaN NaN NaN 6.243 -1.050 1903 6 12.198 0.786 0 0 12.198 0.786 12.697 1.042 1903 7 10.178 -5.597 1 0 NaN NaN 13.682 -2.335 1903 8 13.834 -0.749 0 0 13.834 -0.749 14.648 -0.178 1903 9 6.800 -3.091 1 0 NaN NaN 7.831 -2.303 1903 10 7.198 3.290 1 0 NaN NaN 5.474 1.323 1903 11 -2.755 0.783 1 0 NaN NaN -3.524 -0.229 1903 12 -4.376 4.527 1 0 NaN NaN -8.818 -0.158 1904 1 -8.036 2.313 1 0 NaN NaN -9.767 0.340 1904 2 -6.718 0.399 0 0 -6.718 0.399 -6.115 0.759 1904 3 -5.155 -1.260 0 0 -5.155 -1.260 -5.656 -2.003 1904 4 NaN NaN NaN NaN NaN NaN 2.397 0.446 1904 5 4.907 -2.143 0 0 4.907 -2.143 7.260 -0.033 1904 6 9.398 -2.014 0 0 9.398 -2.014 10.074 -1.581 1904 7 13.150 -2.624 0 0 13.150 -2.624 15.064 -0.953 1904 8 3.333 -11.250 1 0 NaN NaN 15.445 0.619 1904 9 11.360 1.468 0 0 11.360 1.468 10.994 0.860 1904 10 5.993 2.085 0 0 5.993 2.085 5.684 1.534 1904 11 2.068 5.606 0 0 2.068 5.606 0.035 3.330 1904 12 -4.973 3.930 0 0 -4.973 3.930 -8.038 0.622 1905 1 -5.753 4.596 0 0 -5.753 4.596 -8.676 1.430 1905 2 NaN NaN NaN NaN NaN NaN -8.856 -1.982 1905 3 -0.720 3.175 0 0 -0.720 3.175 -1.527 2.125 1905 4 1.460 -0.248 0 0 1.460 -0.248 2.746 0.795 1905 5 3.513 -3.537 0 0 3.513 -3.537 5.938 -1.355 1905 6 7.925 -3.487 0 0 7.925 -3.487 9.512 -2.143 1905 7 14.695 -1.079 0 0 14.695 -1.079 16.260 0.243 1905 8 14.890 0.307 0 0 14.890 0.307 15.552 0.726 1905 9 10.416 0.525 0 0 10.416 0.525 10.799 0.665 1905 10 -0.158 -4.066 0 0 -0.158 -4.066 1.873 -2.277 1905 11 -0.140 3.398 0 0 -0.140 3.398 -2.934 0.361 1905 12 -5.380 3.522 0 0 -5.380 3.522 -10.512 -1.852 1906 1 -4.543 5.806 0 0 -4.543 5.806 -9.297 0.809 1906 2 -3.023 4.093 0 0 -3.023 4.093 -6.579 0.295 1906 3 -3.935 -0.041 0 0 -3.935 -0.041 -7.264 -3.612 1906 4 1.522 -0.187 0 0 1.522 -0.187 2.632 0.681 1906 5 3.587 -3.463 0 0 3.587 -3.463 6.584 -0.709 1906 6 6.762 -4.650 0 0 6.762 -4.650 8.647 -3.008 1906 7 16.169 0.395 0 0 16.169 0.395 17.081 1.064 1906 8 14.472 -0.112 0 0 14.472 -0.112 14.601 -0.225 1906 9 10.165 0.274 0 0 10.165 0.274 10.382 0.248 1906 10 4.505 0.597 1 0 NaN NaN 5.481 1.331 1906 11 -4.248 -0.710 0 0 -4.248 -0.710 -4.116 -0.821 1906 12 -4.052 4.851 0 0 -4.052 4.851 -5.358 3.302 1907 1 -9.090 1.259 0 0 -9.090 1.259 -11.538 -1.431 1907 2 -3.423 3.693 1 0 NaN NaN -3.219 3.655 1907 3 NaN NaN NaN NaN NaN NaN -3.212 0.441 1907 4 -0.765 -2.473 0 0 -0.765 -2.473 1.635 -0.316 1907 5 3.587 -3.463 0 0 3.587 -3.463 6.747 -0.546 1907 6 NaN NaN NaN NaN NaN NaN 8.367 -3.287 1907 7 12.403 -3.371 0 0 12.403 -3.371 14.690 -1.327 1907 8 10.860 -3.724 0 0 10.860 -3.724 12.432 -2.394 1907 9 7.771 -2.120 0 0 7.771 -2.120 9.217 -0.917 1907 10 7.408 3.501 0 0 7.408 3.501 7.184 3.033 1907 11 -5.465 -1.926 0 0 -5.465 -1.926 -2.425 0.870 1907 12 -9.093 -0.190 0 0 -9.093 -0.190 -7.928 0.732 1908 1 -9.803 0.546 0 0 -9.803 0.546 -9.610 0.496 1908 2 -7.707 -0.590 0 0 -7.707 -0.590 -6.175 0.699 1908 3 -4.590 -0.696 0 0 -4.590 -0.696 -4.075 -0.423 1908 4 1.527 -0.182 0 0 1.527 -0.182 3.030 1.079 1908 5 2.122 -4.929 0 0 2.122 -4.929 5.184 -2.109 1908 6 6.837 -4.575 0 0 6.837 -4.575 8.137 -3.517 1908 7 15.456 -0.318 0 0 15.456 -0.318 16.584 0.566 1908 8 12.560 -2.023 0 0 12.560 -2.023 13.664 -1.162 1908 9 9.512 -0.379 0 0 9.512 -0.379 9.694 -0.440 1908 10 NaN NaN NaN NaN NaN NaN 3.120 -1.030 1908 11 NaN NaN NaN NaN NaN NaN -2.444 0.851 1908 12 NaN NaN NaN NaN NaN NaN -9.529 -0.869 1909 1 NaN NaN NaN NaN NaN NaN -7.702 2.404 1909 2 NaN NaN NaN NaN NaN NaN -6.107 0.767 1909 3 NaN NaN NaN NaN NaN NaN -3.971 -0.319 1909 4 NaN NaN NaN NaN NaN NaN -0.458 -2.409 1909 5 NaN NaN NaN NaN NaN NaN 5.613 -1.680 1909 6 NaN NaN NaN NaN NaN NaN 11.424 -0.230 1909 7 NaN NaN NaN NaN NaN NaN 15.166 -0.851 1909 8 NaN NaN NaN NaN NaN NaN 15.310 0.483 1909 9 NaN NaN NaN NaN NaN NaN 9.676 -0.457