% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 36646 % Primary Name: PALMER % Record Type: TAVG % Country: United States % State: NE % Latitude: 41.23330 +/- 0.00005 % Longitude: -98.25000 +/- 0.00005 % Elevation (m): 547.42 +/- 0.15 % # of Months: 39 % % Alternate Names: Missing Station ID - 256490 % % IDs: coop - 256490 % ghcnd - USC00256490 % ncdc - 12003306 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 64dce4658dadb4e1e8167be998424027 % Raw Data Hash: 2494ac2464b5c5f9ca4593e9ba7f9270 % Adj Data Hash: 72bc688ac94a5906bf5aef554d45d24d % % 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 1892 1 NaN NaN NaN NaN NaN NaN -8.307 -2.243 1892 2 NaN NaN NaN NaN NaN NaN -1.705 0.678 1892 3 NaN NaN NaN NaN NaN NaN 0.109 -2.466 1892 4 NaN NaN NaN NaN NaN NaN 8.653 -1.642 1892 5 NaN NaN NaN NaN NaN NaN 11.563 -4.969 1892 6 NaN NaN NaN NaN NaN NaN 21.308 -0.722 1892 7 NaN NaN NaN NaN NaN NaN 24.079 -0.769 1892 8 NaN NaN NaN NaN NaN NaN 22.858 -0.855 1892 9 NaN NaN NaN NaN NaN NaN 18.844 0.461 1892 10 NaN NaN NaN NaN NaN NaN 13.074 1.125 1892 11 NaN NaN NaN NaN NaN NaN 2.570 -0.867 1892 12 NaN NaN NaN NaN NaN NaN -5.316 -2.514 1893 1 -6.778 0.469 0 0 -6.778 0.469 -6.594 -0.530 1893 2 -8.492 -4.926 0 0 -8.492 -4.926 -5.808 -3.425 1893 3 -2.384 -3.775 0 0 -2.384 -3.775 -0.679 -3.254 1893 4 6.148 -2.964 0 0 6.148 -2.964 8.886 -1.409 1893 5 12.043 -3.306 0 0 12.043 -3.306 14.437 -2.095 1893 6 21.926 1.079 0 0 21.926 1.079 22.863 0.833 1893 7 25.412 1.747 0 0 25.412 1.747 24.781 -0.067 1893 8 22.312 -0.219 0 0 22.312 -0.219 21.913 -1.801 1893 9 19.056 1.856 0 0 19.056 1.856 18.833 0.451 1893 10 9.964 -0.802 0 0 9.964 -0.802 11.605 -0.344 1893 11 0.259 -1.995 0 0 0.259 -1.995 1.798 -1.639 1893 12 -3.190 0.796 0 0 -3.190 0.796 -2.092 0.710 1894 1 NaN NaN NaN NaN NaN NaN -7.489 -1.425 1894 2 NaN NaN NaN NaN NaN NaN -6.678 -4.295 1894 3 NaN NaN NaN NaN NaN NaN 4.010 1.435 1894 4 NaN NaN NaN NaN NaN NaN 12.013 1.718 1894 5 NaN NaN NaN NaN NaN NaN 17.132 0.601 1894 6 NaN NaN NaN NaN NaN NaN 22.672 0.642 1894 7 NaN NaN NaN NaN NaN NaN 24.896 0.048 1894 8 25.556 3.025 0 0 25.556 3.025 24.909 1.195 1894 9 18.185 0.986 0 0 18.185 0.986 18.655 0.273 1894 10 10.394 -0.372 0 0 10.394 -0.372 12.730 0.782 1894 11 1.241 -1.013 0 0 1.241 -1.013 2.408 -1.029 1894 12 -2.384 1.602 0 0 -2.384 1.602 -0.700 2.102 1895 1 -9.964 -2.717 0 0 -9.964 -2.717 -8.608 -2.544 1895 2 -8.413 -4.847 0 0 -8.413 -4.847 -6.102 -3.719 1895 3 0.054 -1.338 0 0 0.054 -1.338 1.973 -0.602 1895 4 12.778 3.666 0 0 12.778 3.666 13.761 3.466 1895 5 14.749 -0.600 0 0 14.749 -0.600 16.954 0.422 1895 6 NaN NaN NaN NaN NaN NaN 21.051 -0.978 1895 7 23.190 -0.475 0 0 23.190 -0.475 23.222 -1.626 1895 8 23.100 0.570 0 0 23.100 0.570 22.970 -0.744 1895 9 18.467 1.268 0 0 18.467 1.268 20.231 1.849 1895 10 6.613 -4.153 0 0 6.613 -4.153 9.654 -2.295 1895 11 -0.444 -2.699 0 0 -0.444 -2.699 1.991 -1.446 1895 12 -3.620 0.366 0 0 -3.620 0.366 -1.780 1.022 1896 1 NaN NaN NaN NaN NaN NaN -2.904 3.160 1896 2 -0.996 2.570 0 0 -0.996 2.570 0.506 2.889 1896 3 -2.473 -3.865 0 0 -2.473 -3.865 -1.399 -3.974 1896 4 10.611 1.499 0 0 10.611 1.499 12.555 2.260 1896 5 16.774 1.426 0 0 16.774 1.426 18.065 1.533 1896 6 21.426 0.579 0 0 21.426 0.579 21.681 -0.348 1896 7 23.226 -0.439 0 0 23.226 -0.439 23.599 -1.249 1896 8 23.100 0.570 0 0 23.100 0.570 22.911 -0.803 1896 9 15.000 -2.199 0 0 15.000 -2.199 15.493 -2.890 1896 10 9.194 -1.572 0 0 9.194 -1.572 10.060 -1.889 1896 11 -2.944 -5.199 0 0 -2.944 -5.199 -2.290 -5.727 1896 12 0.197 4.183 0 0 0.197 4.183 1.644 4.446 1897 1 NaN NaN NaN NaN NaN NaN -6.183 -0.119 1897 2 NaN NaN NaN NaN NaN NaN -2.219 0.163 1897 3 NaN NaN NaN NaN NaN NaN 0.779 -1.796 1897 4 NaN NaN NaN NaN NaN NaN 9.627 -0.668 1897 5 NaN NaN NaN NaN NaN NaN 15.815 -0.717 1897 6 NaN NaN NaN NaN NaN NaN 21.511 -0.519 1897 7 NaN NaN NaN NaN NaN NaN 24.919 0.071 1897 8 NaN NaN NaN NaN NaN NaN 21.639 -2.075 1897 9 NaN NaN NaN NaN NaN NaN 21.887 3.505 1897 10 NaN NaN NaN NaN NaN NaN 13.647 1.698 1897 11 NaN NaN NaN NaN NaN NaN 1.436 -2.001 1897 12 NaN NaN NaN NaN NaN NaN -5.219 -2.417