% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 40828 % Primary Name: SMITH CREEK % Record Type: TAVG % Country: United States % State: ID % Latitude: 45.15000 +/- 0.00005 % Longitude: -115.31670 +/- 0.00005 % Elevation (m): 1676.40 +/- 0.15 % # of Months: 63 % % Alternate Names: Missing Station ID - 108510 % % IDs: coop - 108510 % ghcnd - USC00108510 % ncdc - 12001659 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: fda5e17ff33b445bf030d25710b97edc % Raw Data Hash: 9268f29fe7205baef037c648de8777fe % Adj Data Hash: e1cfb7c94d32af80e525c6c5ccf3a087 % % 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 1926 1 NaN NaN NaN NaN NaN NaN -7.618 0.300 1926 2 NaN NaN NaN NaN NaN NaN -1.024 3.421 1926 3 NaN NaN NaN NaN NaN NaN -0.739 1.292 1926 4 NaN NaN NaN NaN NaN NaN 5.315 2.708 1926 5 NaN NaN NaN NaN NaN NaN 7.601 0.249 1926 6 NaN NaN NaN NaN NaN NaN 11.953 0.462 1926 7 NaN NaN NaN NaN NaN NaN 16.773 1.177 1926 8 NaN NaN NaN NaN NaN NaN 14.179 -0.516 1926 9 NaN NaN NaN NaN NaN NaN 5.941 -3.914 1926 10 NaN NaN NaN NaN NaN NaN 5.498 1.439 1926 11 NaN NaN NaN NaN NaN NaN -1.021 1.577 1926 12 NaN NaN NaN NaN NaN NaN -6.366 0.008 1927 1 -8.091 -0.911 1 0 NaN NaN -7.853 0.066 1927 2 -3.710 -0.004 1 0 NaN NaN -3.865 0.580 1927 3 NaN NaN NaN NaN NaN NaN -2.274 -0.243 1927 4 NaN NaN NaN NaN NaN NaN 1.453 -1.153 1927 5 NaN NaN NaN NaN NaN NaN 4.811 -2.541 1927 6 NaN NaN NaN NaN NaN NaN 11.127 -0.365 1927 7 NaN NaN NaN NaN NaN NaN 15.655 0.059 1927 8 13.773 -1.661 0 0 13.736 -1.697 13.356 -1.338 1927 9 9.198 -1.395 0 0 9.162 -1.431 8.405 -1.449 1927 10 4.769 -0.029 0 0 4.733 -0.065 5.447 1.388 1927 11 -0.577 1.282 0 0 -0.613 1.246 -0.515 2.083 1927 12 -9.550 -3.915 0 0 -9.586 -3.952 -11.252 -4.879 1928 1 -5.238 1.941 0 0 -5.275 1.905 -7.067 0.851 1928 2 -5.663 -1.957 0 0 -5.699 -1.993 -5.908 -1.463 1928 3 -0.568 0.724 0 0 -0.605 0.687 -1.618 0.413 1928 4 1.336 -2.010 0 0 1.299 -2.046 1.244 -1.363 1928 5 10.083 1.992 0 0 10.047 1.955 10.019 2.667 1928 6 10.244 -1.987 0 0 10.208 -2.023 9.337 -2.155 1928 7 16.461 0.126 0 0 16.425 0.090 16.118 0.522 1928 8 13.979 -1.454 0 0 13.943 -1.491 13.456 -1.238 1928 9 11.588 0.995 0 0 11.552 0.958 9.814 -0.040 1928 10 5.132 0.334 0 0 5.096 0.297 4.489 0.430 1928 11 -1.232 0.627 0 0 -1.268 0.591 -2.351 0.247 1928 12 -8.287 -2.653 0 0 -8.324 -2.689 -7.634 -1.260 1929 1 -9.909 -2.730 0 0 -9.945 -2.766 -12.401 -4.482 1929 2 -6.800 -3.094 0 0 -6.836 -3.131 -9.100 -4.655 1929 3 -0.755 0.537 0 0 -0.791 0.501 -1.916 0.116 1929 4 1.422 -1.923 0 0 1.386 -1.960 0.614 -1.993 1929 5 7.289 -0.803 0 0 7.252 -0.839 6.555 -0.797 1929 6 11.227 -1.004 0 0 11.190 -1.041 10.143 -1.349 1929 7 16.884 0.549 0 0 16.847 0.512 16.015 0.419 1929 8 15.092 -0.342 0 0 15.055 -0.378 16.925 2.230 1929 9 9.515 -1.078 0 0 9.479 -1.115 7.374 -2.480 1929 10 NaN NaN NaN NaN NaN NaN 5.019 0.960 1929 11 -2.466 -0.607 0 0 -2.502 -0.643 -3.063 -0.464 1929 12 -2.347 3.288 0 0 -2.383 3.251 -2.536 3.838 1930 1 -13.766 -6.586 0 0 -13.802 -6.623 -15.923 -8.005 1930 2 -0.412 3.294 1 0 NaN NaN -0.907 3.538 1930 3 -0.196 1.096 0 0 -0.233 1.059 -2.562 -0.531 1930 4 6.407 3.061 0 0 6.370 3.024 5.857 3.250 1930 5 7.901 -0.190 0 0 7.865 -0.227 7.324 -0.028 1930 6 11.129 -1.102 1 0 NaN NaN 10.506 -0.986 1930 7 16.918 0.583 1 0 NaN NaN 16.634 1.037 1930 8 16.179 0.746 0 0 16.143 0.709 16.133 1.439 1930 9 10.878 0.285 0 0 10.842 0.248 10.113 0.259 1930 10 NaN NaN NaN NaN NaN NaN 3.022 -1.037 1930 11 NaN NaN NaN NaN NaN NaN -3.852 -1.254 1930 12 -9.878 -4.244 1 0 NaN NaN -8.115 -1.741 1931 1 -5.566 1.613 0 0 -5.603 1.577 -5.527 2.391 1931 2 -4.995 -1.289 0 0 -5.031 -1.325 -3.493 0.952 1931 3 -0.382 0.910 0 0 -0.419 0.873 -1.827 0.204 1931 4 3.837 0.491 0 0 3.800 0.454 2.666 0.059 1931 5 9.256 1.165 0 0 9.220 1.129 8.768 1.415 1931 6 13.208 0.977 0 0 13.172 0.941 12.308 0.816 1931 7 17.289 0.954 0 0 17.252 0.917 16.707 1.111 1931 8 16.708 1.275 0 0 16.672 1.238 15.787 1.093 1931 9 10.717 0.123 0 0 10.680 0.087 9.504 -0.350 1931 10 NaN NaN NaN NaN NaN NaN 4.594 0.535 1931 11 -4.038 -2.179 0 0 -4.075 -2.216 -5.429 -2.831 1931 12 -8.234 -2.600 0 0 -8.270 -2.636 -8.009 -1.636 1932 1 -8.843 -1.663 0 0 -8.879 -1.700 -9.583 -1.665 1932 2 -5.089 -1.383 0 0 -5.126 -1.420 -5.407 -0.962 1932 3 -1.338 -0.046 0 0 -1.375 -0.083 -4.338 -2.307 1932 4 NaN NaN NaN NaN NaN NaN 2.696 0.089 1932 5 NaN NaN NaN NaN NaN NaN 7.558 0.205 1932 6 NaN NaN NaN NaN NaN NaN 11.738 0.246 1932 7 NaN NaN NaN NaN NaN NaN 15.548 -0.048 1932 8 NaN NaN NaN NaN NaN NaN 14.270 -0.425 1932 9 NaN NaN NaN NaN NaN NaN 9.553 -0.302 1932 10 NaN NaN NaN NaN NaN NaN 3.800 -0.259 1932 11 0.342 2.201 0 0 0.305 2.164 -0.106 2.492 1932 12 NaN NaN NaN NaN NaN NaN -10.500 -4.126 1933 1 NaN NaN NaN NaN NaN NaN -7.234 0.685 1933 2 NaN NaN NaN NaN NaN NaN -9.109 -4.664 1933 3 NaN NaN NaN NaN NaN NaN -2.327 -0.296 1933 4 NaN NaN NaN NaN NaN NaN 1.472 -1.135 1933 5 NaN NaN NaN NaN NaN NaN 5.076 -2.276 1933 6 NaN NaN NaN NaN NaN NaN 12.872 1.380 1933 7 NaN NaN NaN NaN NaN NaN 16.710 1.114 1933 8 NaN NaN NaN NaN NaN NaN 14.530 -0.165 1933 9 NaN NaN NaN NaN NaN NaN 8.470 -1.384 1933 10 NaN NaN NaN NaN NaN NaN 6.655 2.596 1933 11 NaN NaN NaN NaN NaN NaN 0.198 2.796 1933 12 -1.327 4.307 0 2 -1.072 4.562 -1.702 4.671 1934 1 -2.657 4.523 0 0 -2.401 4.778 -2.404 5.515 1934 2 0.190 3.896 0 0 0.445 4.151 -0.012 4.433 1934 3 3.303 4.595 0 0 3.559 4.851 2.083 4.114 1934 4 7.478 4.132 1 0 NaN NaN 6.468 3.861 1934 5 11.500 3.409 0 0 11.755 3.664 10.758 3.405 1934 6 11.875 -0.356 0 0 12.130 -0.101 10.907 -0.585 1934 7 16.350 0.015 0 0 16.605 0.270 16.180 0.584 1934 8 NaN NaN NaN NaN NaN NaN 15.563 0.869 1934 9 NaN NaN NaN NaN NaN NaN 8.236 -1.618 1934 10 NaN NaN NaN NaN NaN NaN 6.154 2.094 1934 11 NaN NaN NaN NaN NaN NaN 0.834 3.432 1934 12 NaN NaN NaN NaN NaN NaN -5.029 1.344 1935 1 NaN NaN NaN NaN NaN NaN -6.594 1.325 1935 2 NaN NaN NaN NaN NaN NaN -2.929 1.516 1935 3 NaN NaN NaN NaN NaN NaN -3.399 -1.368 1935 4 NaN NaN NaN NaN NaN NaN 0.987 -1.620 1935 5 NaN NaN NaN NaN NaN NaN 6.130 -1.223 1935 6 NaN NaN NaN NaN NaN NaN 10.737 -0.755 1935 7 NaN NaN NaN NaN NaN NaN 15.760 0.164