% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171888 % Primary Name: HANSEL MOUNTAIN IDAHO % Record Type: TAVG % Country: United States % State: ID % Latitude: 42.08360 +/- 0.00005 % Longitude: -112.55280 +/- 0.00005 % Elevation (m): 1691.00 +/- 0.50 % # of Months: 84 % % IDs: ghcnd - USR0000IHAN % % Sources: Global Historical Climatology Network - Daily % % Site Hash: 7800ce8880c0bdabc5064812afbdad5b % Raw Data Hash: 0e4b3521c3b90cfa3be82fd813f58e9d % Adj Data Hash: 0f836acce1dfb4065ada3b8122bfad74 % % 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 1989 6 NaN NaN NaN NaN NaN NaN 15.746 -0.316 1989 7 NaN NaN NaN NaN NaN NaN 22.624 1.714 1989 8 NaN NaN NaN NaN NaN NaN 18.395 -1.317 1989 9 NaN NaN NaN NaN NaN NaN 14.738 0.140 1989 10 NaN NaN NaN NaN NaN NaN 8.301 0.070 1989 11 NaN NaN NaN NaN NaN NaN 2.195 0.946 1989 12 NaN NaN NaN NaN NaN NaN -2.484 0.916 1990 1 NaN NaN NaN NaN NaN NaN -1.985 2.790 1990 2 NaN NaN NaN NaN NaN NaN -1.961 -0.204 1990 3 NaN NaN NaN NaN NaN NaN 3.308 1.925 1990 4 NaN NaN NaN NaN NaN NaN 9.070 2.889 1990 5 NaN NaN NaN NaN NaN NaN 10.216 -1.215 1990 6 23.265 6.404 1 0 NaN NaN 15.555 -0.507 1990 7 23.248 1.539 0 0 23.248 1.539 21.585 0.675 1990 8 21.921 1.409 0 0 21.921 1.409 19.633 -0.079 1990 9 20.225 4.828 0 0 20.225 4.828 18.175 3.578 1990 10 8.547 -0.484 0 0 8.547 -0.484 8.513 0.281 1990 11 1.743 -0.305 0 0 1.743 -0.305 2.033 0.785 1990 12 -8.165 -5.565 0 0 -8.165 -5.565 -9.151 -5.752 1991 1 -4.719 -0.744 0 0 -4.719 -0.744 -5.382 -0.607 1991 2 2.421 3.378 0 0 2.421 3.378 3.268 5.025 1991 3 1.889 -0.294 0 0 1.889 -0.294 1.636 0.253 1991 4 4.267 -2.714 0 0 4.267 -2.714 4.873 -1.307 1991 5 8.816 -3.415 0 0 8.816 -3.415 9.499 -1.932 1991 6 16.033 -0.828 0 0 16.033 -0.828 14.389 -1.673 1991 7 23.737 2.027 0 0 23.737 2.027 21.677 0.767 1991 8 22.916 2.404 0 0 22.916 2.404 21.318 1.606 1991 9 16.367 0.970 0 0 16.367 0.970 15.138 0.540 1991 10 9.673 0.642 0 0 9.673 0.642 9.026 0.795 1991 11 -0.320 -2.368 0 0 -0.320 -2.368 0.014 -1.235 1991 12 -3.011 -0.412 0 0 -3.011 -0.412 -2.694 0.706 1992 1 -2.735 1.240 0 0 -2.735 1.240 -2.599 2.177 1992 2 2.043 3.000 0 0 2.043 3.000 3.427 5.184 1992 3 6.350 4.167 0 0 6.350 4.167 5.475 4.092 1992 4 10.515 3.534 0 0 10.515 3.534 9.266 3.085 1992 5 16.048 3.817 0 0 16.048 3.817 15.118 3.686 1992 6 18.135 1.273 0 0 18.135 1.273 16.626 0.564 1992 7 21.121 -0.589 0 0 21.121 -0.589 19.540 -1.370 1992 8 22.584 2.072 0 0 22.584 2.072 20.382 0.670 1992 9 16.347 0.950 0 0 16.347 0.950 14.399 -0.198 1992 10 11.037 2.006 0 0 11.037 2.006 10.760 2.529 1992 11 -1.432 -3.480 0 0 -1.432 -3.480 -1.520 -2.768 1992 12 -5.137 -2.538 0 0 -5.137 -2.538 -5.865 -2.465 1993 1 -3.295 0.680 0 0 -3.295 0.680 -6.759 -1.984 1993 2 -2.575 -1.618 0 0 -2.575 -1.618 -4.735 -2.978 1993 3 3.842 1.659 1 0 NaN NaN 1.463 0.080 1993 4 5.016 -1.965 0 0 5.016 -1.965 5.226 -0.954 1993 5 13.642 1.411 0 0 13.642 1.411 13.590 2.158 1993 6 13.633 -3.228 0 0 13.633 -3.228 12.860 -3.202 1993 7 16.924 -4.786 0 0 16.924 -4.786 16.050 -4.860 1993 8 18.877 -1.634 0 0 18.877 -1.634 17.170 -2.542 1993 9 16.117 0.720 0 0 16.117 0.720 13.911 -0.686 1993 10 8.823 -0.208 0 0 8.823 -0.208 8.857 0.625 1993 11 -1.017 -3.065 0 0 -1.017 -3.065 -2.002 -3.250 1993 12 -3.255 -0.656 0 0 -3.255 -0.656 -3.102 0.297 1994 1 -0.587 3.389 0 0 -0.587 3.389 -0.566 4.209 1994 2 -2.204 -1.247 0 0 -2.204 -1.247 -1.638 0.119 1994 3 4.639 2.456 0 0 4.639 2.456 3.942 2.559 1994 4 7.635 0.654 0 0 7.635 0.654 7.495 1.315 1994 5 14.116 1.885 0 0 14.116 1.885 13.438 2.007 1994 6 19.147 2.285 0 0 19.147 2.285 16.643 0.581 1994 7 23.766 2.056 0 0 23.766 2.056 21.801 0.891 1994 8 23.774 3.262 0 0 23.774 3.262 21.352 1.640 1994 9 19.028 3.631 0 0 19.028 3.631 16.269 1.672 1994 10 7.702 -1.329 0 0 7.702 -1.329 7.748 -0.483 1994 11 -3.202 -5.250 0 0 -3.202 -5.250 -2.917 -4.165 1994 12 -1.724 0.875 0 0 -1.724 0.875 -3.003 0.396 1995 1 -0.597 3.379 0 0 -0.597 3.379 -1.590 3.185 1995 2 3.262 4.220 0 0 3.262 4.220 2.950 4.707 1995 3 2.105 -0.078 0 0 2.105 -0.078 1.948 0.565 1995 4 5.227 -1.754 0 0 5.227 -1.754 5.408 -0.773 1995 5 9.271 -2.960 0 0 9.271 -2.960 9.829 -1.602 1995 6 13.715 -3.147 0 0 13.715 -3.147 13.137 -2.925 1995 7 21.106 -0.603 0 0 21.106 -0.603 19.734 -1.176 1995 8 22.387 1.875 0 0 22.387 1.875 19.368 -0.344 1995 9 17.152 1.755 0 0 17.152 1.755 14.983 0.386 1995 10 8.224 -0.807 0 0 8.224 -0.807 7.670 -0.561 1995 11 4.987 2.938 0 0 4.987 2.938 4.421 3.173 1995 12 -1.103 1.496 0 0 -1.103 1.496 -1.276 2.123 1996 1 -2.876 1.100 0 0 -2.876 1.100 -2.854 1.922 1996 2 0.237 1.195 0 0 0.237 1.195 -0.986 0.771 1996 3 3.044 0.861 0 0 3.044 0.861 2.725 1.342 1996 4 6.438 -0.542 0 0 6.438 -0.542 6.374 0.193 1996 5 10.689 -1.543 0 0 10.689 -1.543 10.283 -1.148 1996 6 18.817 1.955 0 0 18.817 1.955 16.279 0.217 1996 7 23.547 1.837 0 0 23.547 1.837 21.610 0.700 1996 8 22.694 2.182 0 0 22.694 2.182 19.607 -0.105 1996 9 14.430 -0.967 0 0 14.430 -0.967 12.880 -1.718 1996 10 9.044 0.012 0 0 9.044 0.012 8.346 0.115 1996 11 2.743 0.695 0 0 2.743 0.695 2.450 1.202 1996 12 -2.700 -0.101 0 0 -2.700 -0.101 -2.456 0.943 1997 1 -4.053 -0.078 0 0 -4.053 -0.078 -3.227 1.548 1997 2 -2.048 -1.091 0 0 -2.048 -1.091 -1.046 0.711 1997 3 3.053 0.870 0 0 3.053 0.870 2.728 1.346 1997 4 4.740 -2.241 0 0 4.740 -2.241 4.702 -1.479 1997 5 8.771 -3.460 1 0 NaN NaN 13.315 1.884 1997 6 NaN NaN NaN NaN NaN NaN 15.487 -0.575 1997 7 NaN NaN NaN NaN NaN NaN 19.193 -1.717 1997 8 NaN NaN NaN NaN NaN NaN 19.910 0.198 1997 9 NaN NaN NaN NaN NaN NaN 15.474 0.877 1997 10 NaN NaN NaN NaN NaN NaN 7.934 -0.297 1997 11 NaN NaN NaN NaN NaN NaN 1.891 0.643 1997 12 NaN NaN NaN NaN NaN NaN -4.221 -0.822 1998 1 NaN NaN NaN NaN NaN NaN -0.356 4.419 1998 2 NaN NaN NaN NaN NaN NaN 0.412 2.169 1998 3 NaN NaN NaN NaN NaN NaN 1.611 0.228 1998 4 NaN NaN NaN NaN NaN NaN 5.799 -0.382 1998 5 NaN NaN NaN NaN NaN NaN 10.611 -0.821