% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43140 % Primary Name: CHINIAK % Record Type: TAVG % Country: United States % State: AK % Latitude: 57.61530 +/- 0.00005 % Longitude: -152.36450 +/- 0.00005 % Elevation (m): 31.28 +/- 16.73 % # of Months: 93 % % IDs: coop - 501763 % ghcnd - USC00501763 % ncdc - 20022567 % nws - CHIA2 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 5fb788f54b5245200cf446149d202822 % Raw Data Hash: 68d2a1ec784f66959b7caa515b55f265 % Adj Data Hash: 95362fb177dc40f472b74afca9150fd3 % % 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 1990 8 NaN NaN NaN NaN NaN NaN 12.793 0.981 1990 9 NaN NaN NaN NaN NaN NaN 10.758 0.771 1990 10 NaN NaN NaN NaN NaN NaN 5.122 -0.682 1990 11 NaN NaN NaN NaN NaN NaN 1.428 -1.923 1990 12 NaN NaN NaN NaN NaN NaN 1.802 1.106 1991 1 NaN NaN NaN NaN NaN NaN 1.453 1.391 1991 2 NaN NaN NaN NaN NaN NaN -0.373 -0.607 1991 3 NaN NaN NaN NaN NaN NaN 1.266 1.113 1991 4 NaN NaN NaN NaN NaN NaN 3.466 1.444 1991 5 NaN NaN NaN NaN NaN NaN 5.213 0.550 1991 6 NaN NaN NaN NaN NaN NaN 7.686 -0.100 1991 7 NaN NaN NaN NaN NaN NaN 10.815 0.059 1991 8 12.333 0.955 0 0 12.333 0.955 11.578 -0.234 1991 9 10.278 0.725 0 0 10.278 0.725 10.572 0.585 1991 10 5.556 0.185 0 0 5.556 0.185 6.277 0.472 1991 11 2.667 -0.250 0 0 2.667 -0.250 5.432 2.081 1991 12 -0.833 -1.095 0 0 -0.833 -1.095 1.651 0.955 1992 1 0.278 0.650 0 0 0.278 0.650 2.470 2.408 1992 2 -2.444 -2.244 0 0 -2.444 -2.244 -0.753 -0.987 1992 3 0.722 1.003 0 0 0.722 1.003 0.508 0.355 1992 4 4.052 2.464 0 0 4.052 2.464 3.109 1.087 1992 5 6.944 2.716 0 0 6.944 2.716 5.368 0.706 1992 6 10.278 2.926 0 0 10.278 2.926 8.516 0.730 1992 7 12.944 2.622 0 0 12.944 2.622 11.232 0.475 1992 8 11.889 0.511 0 0 11.889 0.511 11.447 -0.366 1992 9 8.444 -1.109 0 0 8.444 -1.109 8.407 -1.580 1992 10 4.556 -0.815 0 0 4.556 -0.815 5.268 -0.537 1992 11 1.278 -1.639 0 0 1.278 -1.639 4.349 0.998 1992 12 -1.500 -1.762 0 0 -1.500 -1.762 1.202 0.505 1993 1 3.050 3.422 1 0 NaN NaN 0.038 -0.024 1993 2 -0.944 -0.744 0 0 -0.944 -0.744 1.300 1.066 1993 3 1.667 1.948 0 0 1.667 1.948 2.234 2.081 1993 4 4.278 2.690 0 0 4.278 2.690 4.110 2.088 1993 5 8.056 3.827 0 0 8.056 3.827 6.649 1.987 1993 6 10.222 2.870 0 0 10.222 2.870 8.533 0.747 1993 7 13.500 3.178 0 0 13.500 3.178 12.169 1.413 1993 8 14.518 3.140 0 0 14.518 3.140 13.234 1.422 1993 9 11.111 1.558 0 0 11.111 1.558 10.850 0.863 1993 10 5.889 0.519 0 0 5.889 0.519 7.024 1.219 1993 11 2.611 -0.306 0 0 2.611 -0.306 5.549 2.198 1993 12 1.167 0.905 0 0 1.167 0.905 3.778 3.081 1994 1 1.000 1.372 0 0 1.000 1.372 3.174 3.112 1994 2 -1.167 -0.966 0 0 -1.167 -0.966 0.355 0.121 1994 3 -0.944 -0.663 0 0 -0.944 -0.663 -0.224 -0.377 1994 4 3.500 1.912 0 0 3.500 1.912 3.381 1.359 1994 5 6.833 2.605 0 0 6.833 2.605 5.454 0.791 1994 6 11.500 4.148 0 0 11.500 4.148 9.075 1.288 1994 7 12.000 1.678 0 0 12.000 1.678 10.769 0.013 1994 8 14.722 3.344 0 0 14.722 3.344 13.348 1.535 1994 9 9.944 0.391 0 0 9.944 0.391 10.323 0.335 1994 10 3.722 -1.648 0 0 3.722 -1.648 5.205 -0.600 1994 11 -0.944 -3.861 0 0 -0.944 -3.861 2.232 -1.119 1994 12 -2.167 -2.429 0 0 -2.167 -2.429 0.597 -0.100 1995 1 -1.333 -0.961 0 0 -1.333 -0.961 1.280 1.218 1995 2 -0.611 -0.410 0 0 -0.611 -0.410 1.716 1.483 1995 3 -1.556 -1.274 0 0 -1.556 -1.274 -1.064 -1.217 1995 4 4.611 3.024 0 0 4.611 3.024 4.249 2.227 1995 5 6.222 1.994 0 0 6.222 1.994 5.557 0.894 1995 6 10.000 2.648 0 0 10.000 2.648 8.428 0.642 1995 7 13.056 2.734 0 0 13.056 2.734 11.206 0.450 1995 8 13.333 1.955 0 0 13.333 1.955 12.252 0.440 1995 9 10.944 1.391 0 0 10.944 1.391 11.503 1.516 1995 10 5.556 0.185 0 0 5.556 0.185 6.629 0.825 1995 11 -0.222 -3.139 0 0 -0.222 -3.139 3.290 -0.061 1995 12 NaN NaN NaN NaN NaN NaN 3.356 2.660 1996 1 -3.000 -2.628 0 0 -3.000 -2.628 -0.077 -0.140 1996 2 NaN NaN NaN NaN NaN NaN 0.273 0.040 1996 3 2.833 3.114 0 0 2.833 3.114 2.887 2.734 1996 4 3.444 1.857 0 0 3.444 1.857 3.286 1.265 1996 5 9.111 4.883 0 0 9.111 4.883 6.766 2.103 1996 6 11.333 3.981 0 0 11.333 3.981 8.818 1.032 1996 7 12.278 1.956 0 0 12.278 1.956 10.855 0.099 1996 8 13.667 2.289 0 0 13.667 2.289 12.210 0.398 1996 9 NaN NaN NaN NaN NaN NaN 9.133 -0.854 1996 10 2.889 -2.481 0 0 2.889 -2.481 4.637 -1.167 1996 11 1.611 -1.306 0 0 1.611 -1.306 4.691 1.339 1996 12 -2.222 -2.484 0 0 -2.222 -2.484 0.036 -0.660 1997 1 -1.389 -1.017 0 0 -1.389 -1.017 1.042 0.980 1997 2 1.944 2.145 0 0 1.944 2.145 4.319 4.086 1997 3 0.944 1.226 0 0 0.944 1.226 0.833 0.680 1997 4 3.722 2.135 0 0 3.722 2.135 3.725 1.703 1997 5 9.000 4.772 0 0 9.000 4.772 7.089 2.426 1997 6 12.111 4.759 0 0 12.111 4.759 9.985 2.198 1997 7 14.222 3.900 0 0 14.222 3.900 12.818 2.062 1997 8 15.167 3.789 0 0 15.167 3.789 13.898 2.086 1997 9 11.556 2.002 0 0 11.556 2.002 11.880 1.893 1997 10 4.722 -0.648 0 0 4.722 -0.648 5.562 -0.243 1997 11 1.056 -1.861 0 0 1.056 -1.861 5.040 1.689 1997 12 -4.556 -4.818 0 0 -4.556 -4.818 -0.587 -1.283 1998 1 -0.667 -0.295 0 0 -0.667 -0.295 1.760 1.698 1998 2 2.222 2.423 0 0 2.222 2.423 3.976 3.742 1998 3 3.444 3.726 0 0 3.444 3.726 3.695 3.542 1998 4 NaN NaN NaN NaN NaN NaN 3.826 1.804 1998 5 6.778 2.549 0 0 6.778 2.549 5.255 0.592 1998 6 11.056 3.704 0 0 11.056 3.704 8.617 0.830 1998 7 12.167 1.845 0 0 12.167 1.845 11.221 0.465 1998 8 13.111 1.733 0 0 13.111 1.733 11.646 -0.166 1998 9 9.111 -0.442 0 0 9.111 -0.442 10.058 0.070 1998 10 5.106 -0.264 1 0 NaN NaN 6.344 0.540 1998 11 -0.092 -3.009 1 0 NaN NaN 5.507 2.156 1998 12 -1.306 -1.569 1 0 NaN NaN 0.872 0.176 1999 1 -3.000 -2.628 0 0 -3.000 -2.628 -0.254 -0.316 1999 2 -5.111 -4.910 0 0 -5.111 -4.910 -3.185 -3.418 1999 3 -1.222 -0.941 0 0 -1.222 -0.941 -0.977 -1.130 1999 4 2.556 0.968 1 0 NaN NaN 2.242 0.220 1999 5 6.226 1.998 1 0 NaN NaN 4.360 -0.303 1999 6 NaN NaN NaN NaN NaN NaN 8.119 0.333 1999 7 NaN NaN NaN NaN NaN NaN 11.335 0.579 1999 8 NaN NaN NaN NaN NaN NaN 12.145 0.333 1999 9 NaN NaN NaN NaN NaN NaN 10.323 0.335 1999 10 NaN NaN NaN NaN NaN NaN 5.077 -0.727 1999 11 NaN NaN NaN NaN NaN NaN 3.651 0.300 1999 12 NaN NaN NaN NaN NaN NaN -0.298 -0.994 2000 1 NaN NaN NaN NaN NaN NaN -1.912 -1.974 2000 2 NaN NaN NaN NaN NaN NaN 3.524 3.290 2000 3 NaN NaN NaN NaN NaN NaN 2.504 2.351 2000 4 NaN NaN NaN NaN NaN NaN 3.299 1.277 2000 5 NaN NaN NaN NaN NaN NaN 5.358 0.695 2000 6 NaN NaN NaN NaN NaN NaN 7.816 0.029 2000 7 NaN NaN NaN NaN NaN NaN 10.754 -0.002 2000 8 NaN NaN NaN NaN NaN NaN 12.794 0.982 2000 9 NaN NaN NaN NaN NaN NaN 10.331 0.344 2000 10 5.333 -0.037 1 0 NaN NaN 6.626 0.821 2000 11 2.667 -0.250 1 0 NaN NaN 6.497 3.146 2000 12 2.389 2.127 1 0 NaN NaN 5.520 4.824 2001 1 NaN NaN NaN NaN NaN NaN 3.487 3.425 2001 2 NaN NaN NaN NaN NaN NaN 3.297 3.063 2001 3 NaN NaN NaN NaN NaN NaN 2.208 2.055 2001 4 NaN NaN NaN NaN NaN NaN 3.440 1.418 2001 5 NaN NaN NaN NaN NaN NaN 4.671 0.009 2001 6 NaN NaN NaN NaN NaN NaN 9.696 1.910 2001 7 NaN NaN NaN NaN NaN NaN 11.858 1.101 2001 8 NaN NaN NaN NaN NaN NaN 13.083 1.271 2001 9 NaN NaN NaN NaN NaN NaN 10.704 0.717 2001 10 NaN NaN NaN NaN NaN NaN 4.710 -1.094 2001 11 NaN NaN NaN NaN NaN NaN 3.788 0.437 2001 12 NaN NaN NaN NaN NaN NaN -0.630 -1.326