% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 42257 % Primary Name: GRAND FORKS % Record Type: TAVG % Country: United States % State: ID % Latitude: 47.35000 +/- 0.00005 % Longitude: -115.71670 +/- 0.00005 % Elevation (m): 998.22 +/- 0.15 % # of Months: 42 % % Alternate Names: Missing Station ID - 103734 % % IDs: coop - 103734 % ghcnd - USC00103734 % ncdc - 12001583 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 4d8425e3ac44fdd559c7c862e716b7fb % Raw Data Hash: 64a1e664dfe5c74d26f0abc12aef6d13 % Adj Data Hash: 8df16f53dca88a63c6ae728cfbe35726 % % 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 5 NaN NaN NaN NaN NaN NaN 7.283 -1.563 1908 6 NaN NaN NaN NaN NaN NaN 10.594 -2.271 1908 7 NaN NaN NaN NaN NaN NaN 17.313 0.592 1908 8 NaN NaN NaN NaN NaN NaN 15.072 -0.993 1908 9 NaN NaN NaN NaN NaN NaN 11.616 0.349 1908 10 NaN NaN NaN NaN NaN NaN 4.783 -0.351 1908 11 NaN NaN NaN NaN NaN NaN 0.182 1.480 1908 12 NaN NaN NaN NaN NaN NaN -4.793 -0.112 1909 1 NaN NaN NaN NaN NaN NaN -9.579 -3.101 1909 2 NaN NaN NaN NaN NaN NaN -1.762 1.163 1909 3 NaN NaN NaN NaN NaN NaN -0.668 -0.054 1909 4 NaN NaN NaN NaN NaN NaN 1.370 -2.652 1909 5 10.023 0.425 1 0 NaN NaN 6.861 -1.984 1909 6 13.017 -0.600 0 0 13.017 -0.600 12.083 -0.782 1909 7 15.503 -1.969 0 0 15.503 -1.969 14.991 -1.729 1909 8 14.018 -2.799 0 0 14.018 -2.799 14.863 -1.202 1909 9 11.590 -0.429 0 0 11.590 -0.429 11.526 0.259 1909 10 6.489 0.603 0 0 6.489 0.603 5.872 0.738 1909 11 1.318 1.864 0 0 1.318 1.864 -0.215 1.084 1909 12 NaN NaN NaN NaN NaN NaN -7.134 -2.452 1910 1 NaN NaN NaN NaN NaN NaN -6.904 -0.426 1910 2 -5.715 -3.542 1 0 NaN NaN -6.853 -3.928 1910 3 2.177 2.039 0 0 2.177 2.039 2.496 3.109 1910 4 5.880 1.106 0 0 5.880 1.106 6.568 2.545 1910 5 10.492 0.894 0 0 10.492 0.894 10.271 1.425 1910 6 12.990 -0.627 0 0 12.990 -0.627 12.473 -0.392 1910 7 NaN NaN NaN NaN NaN NaN 17.348 0.628 1910 8 NaN NaN NaN NaN NaN NaN 13.569 -2.496 1910 9 NaN NaN NaN NaN NaN NaN 10.103 -1.164 1910 10 NaN NaN NaN NaN NaN NaN 7.048 1.914 1910 11 1.852 2.398 0 0 1.852 2.398 -0.282 1.017 1910 12 -2.573 1.356 0 0 -2.573 1.356 -2.991 1.691 1911 1 -4.534 1.192 0 0 -4.534 1.192 -6.608 -0.130 1911 2 -4.820 -2.647 0 0 -4.820 -2.647 -5.124 -2.199 1911 3 1.784 1.645 0 0 1.784 1.645 0.779 1.393 1911 4 4.472 -0.302 0 0 4.472 -0.302 2.720 -1.302 1911 5 8.277 -1.321 0 0 8.277 -1.321 7.159 -1.687 1911 6 14.548 0.931 1 0 NaN NaN 12.931 0.066 1911 7 15.574 -1.899 0 0 15.574 -1.899 15.595 -1.125 1911 8 13.953 -2.864 0 0 13.953 -2.864 13.909 -2.155 1911 9 10.515 -1.504 0 0 10.515 -1.504 9.391 -1.877 1911 10 7.312 1.426 1 0 NaN NaN 4.340 -0.794 1911 11 -0.990 -0.445 0 0 -0.990 -0.445 -3.694 -2.395 1911 12 -3.965 -0.035 0 0 -3.965 -0.035 -5.240 -0.559 1912 1 -3.674 2.052 0 0 -3.674 2.052 -6.239 0.240 1912 2 -1.028 1.145 0 0 -1.028 1.145 -1.280 1.644 1912 3 NaN NaN NaN NaN NaN NaN -3.711 -3.098 1912 4 5.127 0.352 0 0 5.127 0.352 4.359 0.337 1912 5 9.160 -0.438 0 0 9.160 -0.438 8.775 -0.071 1912 6 14.167 0.550 0 0 14.167 0.550 13.336 0.471 1912 7 14.248 -3.225 1 0 NaN NaN 14.596 -2.125 1912 8 13.697 -3.120 0 0 13.697 -3.120 13.951 -2.114 1912 9 9.047 -2.973 0 0 9.047 -2.973 7.823 -3.444 1912 10 4.468 -1.418 0 0 4.468 -1.418 3.827 -1.307 1912 11 1.910 2.456 0 0 1.910 2.456 0.211 1.509 1912 12 -2.616 1.313 0 0 -2.616 1.313 -3.292 1.389 1913 1 -6.877 -1.151 0 0 -6.877 -1.151 -8.086 -1.608 1913 2 -7.670 -5.497 0 0 -7.670 -5.497 -7.673 -4.748 1913 3 -1.281 -1.419 0 0 -1.281 -1.419 -3.873 -3.260 1913 4 NaN NaN NaN NaN NaN NaN 3.578 -0.444 1913 5 NaN NaN NaN NaN NaN NaN 8.323 -0.522 1913 6 NaN NaN NaN NaN NaN NaN 12.804 -0.061 1913 7 15.144 -2.329 0 0 15.144 -2.329 15.273 -1.448 1913 8 14.886 -1.931 0 0 14.886 -1.931 15.994 -0.071 1913 9 NaN NaN NaN NaN NaN NaN 10.942 -0.325 1913 10 NaN NaN NaN NaN NaN NaN 3.782 -1.352 1913 11 NaN NaN NaN NaN NaN NaN 0.108 1.406 1913 12 NaN NaN NaN NaN NaN NaN -5.062 -0.381 1914 1 NaN NaN NaN NaN NaN NaN -2.940 3.539 1914 2 NaN NaN NaN NaN NaN NaN -3.802 -0.877 1914 3 NaN NaN NaN NaN NaN NaN 0.518 1.131 1914 4 NaN NaN NaN NaN NaN NaN 4.406 0.383 1914 5 NaN NaN NaN NaN NaN NaN 9.761 0.915 1914 6 NaN NaN NaN NaN NaN NaN 11.629 -1.236 1914 7 NaN NaN NaN NaN NaN NaN 17.846 1.126 1914 8 NaN NaN NaN NaN NaN NaN 16.120 0.056