% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43223 % Primary Name: DILLINGHAM 17 NW % Record Type: TAVG % Country: United States % State: AK % Latitude: 59.18330 +/- 0.00005 % Longitude: -158.83330 +/- 0.00005 % Elevation (m): 11.60 +/- 0.05 % # of Months: 28 % % IDs: coop - 502465 % ghcnd - USC00502465 % ncdc - 20022501 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 65756225428a2a1ecdf391c3cb656f95 % Raw Data Hash: e75c10d0acfadc7bd1d8d5a33f03bb05 % Adj Data Hash: e75c10d0acfadc7bd1d8d5a33f03bb05 % % 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 1980 1 NaN NaN NaN NaN NaN NaN -10.342 -1.978 1980 2 NaN NaN NaN NaN NaN NaN -7.033 1.822 1980 3 NaN NaN NaN NaN NaN NaN -4.322 3.220 1980 4 NaN NaN NaN NaN NaN NaN -0.339 2.870 1980 5 NaN NaN NaN NaN NaN NaN 3.571 1.058 1980 6 NaN NaN NaN NaN NaN NaN 5.823 -0.889 1980 7 NaN NaN NaN NaN NaN NaN 10.356 0.609 1980 8 NaN NaN NaN NaN NaN NaN 9.654 -0.661 1980 9 NaN NaN NaN NaN NaN NaN 8.297 0.544 1980 10 NaN NaN NaN NaN NaN NaN 2.065 0.552 1980 11 NaN NaN NaN NaN NaN NaN -0.756 1.821 1980 12 NaN NaN NaN NaN NaN NaN -11.026 -3.119 1981 1 -3.500 4.785 0 0 -3.500 4.785 -1.773 6.591 1981 2 -7.333 1.443 0 0 -7.333 1.443 -6.748 2.106 1981 3 -0.111 7.353 0 0 -0.111 7.353 -0.701 6.841 1981 4 0.833 3.963 0 0 0.833 3.963 -0.130 3.079 1981 5 7.000 4.409 0 0 7.000 4.409 5.820 3.307 1981 6 9.444 2.654 0 0 9.444 2.654 7.484 0.772 1981 7 12.556 2.730 0 0 12.556 2.730 10.204 0.458 1981 8 NaN NaN NaN NaN NaN NaN 10.942 0.627 1981 9 7.667 -0.164 0 0 7.667 -0.164 7.682 -0.070 1981 10 0.444 -1.147 0 0 0.444 -1.147 1.474 -0.039 1981 11 -4.333 -1.835 0 0 -4.333 -1.835 -1.485 1.093 1981 12 -11.278 -3.450 0 0 -11.278 -3.450 -7.970 -0.063 1982 1 -8.667 -0.382 0 0 -8.667 -0.382 -6.300 2.064 1982 2 -10.000 -1.224 0 0 -10.000 -1.224 -8.794 0.060 1982 3 -6.500 0.964 0 0 -6.500 0.964 -5.763 1.779 1982 4 -5.056 -1.925 0 0 -5.056 -1.925 -6.284 -3.075 1982 5 2.944 0.353 0 0 2.944 0.353 1.528 -0.985 1982 6 9.611 2.820 0 0 9.611 2.820 6.406 -0.306 1982 7 10.778 0.953 0 0 10.778 0.953 8.623 -1.124 1982 8 11.778 1.385 0 0 11.778 1.385 10.410 0.095 1982 9 7.556 -0.275 0 0 7.556 -0.275 7.772 0.020 1982 10 -1.500 -3.092 0 0 -1.500 -3.092 -0.623 -2.137 1982 11 -3.111 -0.613 0 0 -3.111 -0.613 -0.207 2.370 1982 12 -5.667 2.161 0 0 -5.667 2.161 -4.360 3.547 1983 1 -9.611 -1.326 0 0 -9.611 -1.326 -9.235 -0.871 1983 2 -5.889 2.887 0 0 -5.889 2.887 -6.308 2.546 1983 3 -1.333 6.131 0 0 -1.333 6.131 -2.891 4.652 1983 4 0.667 3.797 0 0 0.667 3.797 -0.855 2.354 1983 5 6.167 3.576 0 0 6.167 3.576 4.377 1.865 1983 6 NaN NaN NaN NaN NaN NaN 8.233 1.521 1983 7 NaN NaN NaN NaN NaN NaN 10.572 0.826 1983 8 NaN NaN NaN NaN NaN NaN 10.209 -0.106 1983 9 NaN NaN NaN NaN NaN NaN 7.193 -0.559 1983 10 NaN NaN NaN NaN NaN NaN -0.206 -1.719 1983 11 NaN NaN NaN NaN NaN NaN 0.207 2.784 1983 12 NaN NaN NaN NaN NaN NaN -1.310 6.597 1984 1 NaN NaN NaN NaN NaN NaN -7.006 1.357 1984 2 NaN NaN NaN NaN NaN NaN -17.700 -8.845 1984 3 NaN NaN NaN NaN NaN NaN -1.974 5.568 1984 4 NaN NaN NaN NaN NaN NaN -4.601 -1.393 1984 5 NaN NaN NaN NaN NaN NaN 2.228 -0.284