% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 43048 % Primary Name: SULZER % Record Type: TAVG % Country: United States % State: AK % Latitude: 55.26670 +/- 0.00005 % Longitude: -132.70000 +/- 0.00005 % Elevation (m): 1.52 +/- 0.15 % # of Months: 26 % % Alternate Names: Missing Station ID - 508807 % % IDs: coop - 508807 % ghcnd - USC00508807 % ncdc - 30015308 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 424013a741cccb2bfb96b6129b2a0246 % Raw Data Hash: d1b9e97e191892519c6eeabb618c9537 % Adj Data Hash: 14241cb72d0e053e0c018de7f09a46fd % % 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 1914 11 NaN NaN NaN NaN NaN NaN 3.755 -0.096 1914 12 NaN NaN NaN NaN NaN NaN -0.290 -1.721 1915 1 NaN NaN NaN NaN NaN NaN 1.838 2.035 1915 2 NaN NaN NaN NaN NaN NaN 2.933 1.066 1915 3 NaN NaN NaN NaN NaN NaN 5.833 3.176 1915 4 NaN NaN NaN NaN NaN NaN 6.029 1.065 1915 5 NaN NaN NaN NaN NaN NaN 10.808 2.809 1915 6 NaN NaN NaN NaN NaN NaN 11.523 0.796 1915 7 NaN NaN NaN NaN NaN NaN 14.737 1.843 1915 8 NaN NaN NaN NaN NaN NaN 13.893 0.581 1915 9 NaN NaN NaN NaN NaN NaN 11.832 0.591 1915 10 NaN NaN NaN NaN NaN NaN 7.096 -0.330 1915 11 2.844 -1.963 1 0 NaN NaN 3.447 -0.404 1915 12 2.234 -0.153 0 0 2.234 -0.153 2.122 0.691 1916 1 NaN NaN NaN NaN NaN NaN -7.456 -7.258 1916 2 NaN NaN NaN NaN NaN NaN 1.427 -0.440 1916 3 3.561 -0.051 0 0 3.561 -0.051 1.355 -1.302 1916 4 NaN NaN NaN NaN NaN NaN 5.140 0.176 1916 5 NaN NaN NaN NaN NaN NaN 7.234 -0.765 1916 6 NaN NaN NaN NaN NaN NaN 10.238 -0.489 1916 7 NaN NaN NaN NaN NaN NaN 11.676 -1.217 1916 8 14.815 0.547 0 0 14.815 0.547 13.350 0.037 1916 9 11.133 -1.063 0 0 11.133 -1.063 10.476 -0.765 1916 10 7.869 -0.512 0 0 7.869 -0.512 7.447 0.021 1916 11 NaN NaN NaN NaN NaN NaN 3.736 -0.115 1916 12 -0.530 -2.916 0 0 -0.530 -2.916 -0.478 -1.909 1917 1 -1.897 -2.655 0 0 -1.897 -2.655 -2.956 -2.759 1917 2 -0.637 -3.460 0 0 -0.637 -3.460 -0.441 -2.308 1917 3 2.007 -1.605 0 0 2.007 -1.605 1.219 -1.438 1917 4 5.898 -0.021 0 0 5.898 -0.021 4.684 -0.280 1917 5 9.781 0.826 0 0 9.781 0.826 7.665 -0.334 1917 6 12.715 1.032 0 0 12.715 1.032 9.774 -0.953 1917 7 12.918 -0.931 0 0 12.918 -0.931 11.155 -1.738 1917 8 14.389 0.120 0 0 14.389 0.120 12.969 -0.344 1917 9 11.577 -0.620 0 0 11.577 -0.620 10.780 -0.461 1917 10 7.392 -0.990 0 0 7.392 -0.990 6.791 -0.635 1917 11 6.020 1.213 0 0 6.020 1.213 5.870 2.018 1917 12 -2.203 -4.589 1 0 NaN NaN -2.518 -3.949 1918 1 NaN NaN NaN NaN NaN NaN 0.876 1.073 1918 2 0.401 -2.421 1 0 NaN NaN 0.809 -1.058 1918 3 1.540 -2.072 0 0 1.540 -2.072 0.368 -2.289 1918 4 5.007 -0.913 0 0 5.007 -0.913 3.565 -1.399 1918 5 7.400 -1.555 1 0 NaN NaN 7.172 -0.827 1918 6 NaN NaN NaN NaN NaN NaN 10.673 -0.055 1918 7 NaN NaN NaN NaN NaN NaN 13.630 0.737 1918 8 NaN NaN NaN NaN NaN NaN 12.739 -0.574 1918 9 NaN NaN NaN NaN NaN NaN 12.033 0.792 1918 10 NaN NaN NaN NaN NaN NaN 7.685 0.259 1918 11 NaN NaN NaN NaN NaN NaN 4.231 0.379 1918 12 NaN NaN NaN NaN NaN NaN 1.302 -0.129 1919 1 NaN NaN NaN NaN NaN NaN 0.890 1.088 1919 2 0.923 -1.899 0 0 0.923 -1.899 1.252 -0.615 1919 3 0.418 -3.195 0 0 0.418 -3.195 -0.065 -2.722 1919 4 NaN NaN NaN NaN NaN NaN 5.080 0.116 1919 5 7.432 -1.522 0 0 7.432 -1.522 6.642 -1.357 1919 6 NaN NaN NaN NaN NaN NaN 9.308 -1.419 1919 7 NaN NaN NaN NaN NaN NaN 11.879 -1.014 1919 8 NaN NaN NaN NaN NaN NaN 13.355 0.043 1919 9 NaN NaN NaN NaN NaN NaN 11.902 0.661 1919 10 NaN NaN NaN NaN NaN NaN 6.658 -0.768 1919 11 NaN NaN NaN NaN NaN NaN 1.982 -1.869 1919 12 NaN NaN NaN NaN NaN NaN 0.656 -0.775 1920 1 NaN NaN NaN NaN NaN NaN -2.694 -2.496 1920 2 NaN NaN NaN NaN NaN NaN 3.156 1.289 1920 3 NaN NaN NaN NaN NaN NaN 1.689 -0.968 1920 4 NaN NaN NaN NaN NaN NaN 2.843 -2.121 1920 5 NaN NaN NaN NaN NaN NaN 6.058 -1.941