% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 32454 % Primary Name: IRWIN % Record Type: TAVG % Country: United States % State: VA % Latitude: 37.69420 +/- 0.00005 % Longitude: -77.92300 +/- 0.00005 % Elevation (m): 45.11 +/- 0.15 % # of Months: 34 % % Alternate Names: Missing Station ID - 444310 % % IDs: coop - 444310 % ghcnd - USC00444310 % ncdc - 12005748 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c9bddda6a50078299394e47f600b4ea8 % Raw Data Hash: 23956f22b926ba606b6fee8dd1ceb9b5 % Adj Data Hash: 60cde7df5ab742a730c4495a9f6885ca % % 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 0.799 -1.222 1892 2 NaN NaN NaN NaN NaN NaN 3.180 -0.149 1892 3 NaN NaN NaN NaN NaN NaN 4.991 -3.120 1892 4 NaN NaN NaN NaN NaN NaN 12.387 -1.415 1892 5 NaN NaN NaN NaN NaN NaN 18.363 -0.333 1892 6 NaN NaN NaN NaN NaN NaN 24.381 1.453 1892 7 NaN NaN NaN NaN NaN NaN 24.638 -0.634 1892 8 NaN NaN NaN NaN NaN NaN 25.117 0.454 1892 9 NaN NaN NaN NaN NaN NaN 19.890 -1.136 1892 10 NaN NaN NaN NaN NaN NaN 12.913 -1.486 1892 11 NaN NaN NaN NaN NaN NaN 7.377 -1.578 1892 12 NaN NaN NaN NaN NaN NaN 1.656 -2.077 1893 1 -4.042 -5.840 0 0 -4.042 -5.840 -3.907 -5.928 1893 2 NaN NaN NaN NaN NaN NaN 2.968 -0.361 1893 3 6.926 -0.962 0 0 6.926 -0.962 6.762 -1.349 1893 4 14.272 0.693 0 0 14.272 0.693 14.389 0.587 1893 5 17.619 -0.854 1 0 NaN NaN 17.755 -0.941 1893 6 22.731 0.027 1 0 NaN NaN 22.671 -0.257 1893 7 20.819 -4.230 1 0 NaN NaN 25.395 0.124 1893 8 23.194 -1.245 1 0 NaN NaN 23.947 -0.715 1893 9 NaN NaN NaN NaN NaN NaN 20.159 -0.867 1893 10 NaN NaN NaN NaN NaN NaN 13.807 -0.592 1893 11 2.800 -5.933 1 0 NaN NaN 7.900 -1.056 1893 12 NaN NaN NaN NaN NaN NaN 4.431 0.698 1894 1 5.944 4.147 1 0 NaN NaN 3.940 1.919 1894 2 NaN NaN NaN NaN NaN NaN 3.181 -0.148 1894 3 10.251 2.363 0 0 10.251 2.363 10.387 2.276 1894 4 13.278 -0.301 0 0 13.278 -0.301 12.893 -0.909 1894 5 19.713 1.240 0 0 19.713 1.240 19.708 1.012 1894 6 23.741 1.036 0 0 23.741 1.036 23.394 0.466 1894 7 25.072 0.023 0 0 25.072 0.023 25.467 0.195 1894 8 23.195 -1.244 0 0 23.195 -1.244 23.305 -1.357 1894 9 21.296 0.494 0 0 21.296 0.494 22.212 1.186 1894 10 14.122 -0.053 0 0 14.122 -0.053 14.364 -0.034 1894 11 7.551 -1.181 0 0 7.551 -1.181 7.721 -1.235 1894 12 3.591 0.081 1 0 NaN NaN 3.821 0.088 1895 1 0.611 -1.187 0 0 0.611 -1.187 0.607 -1.414 1895 2 -2.826 -5.932 1 0 NaN NaN -2.982 -6.311 1895 3 6.685 -1.203 0 0 6.685 -1.203 6.816 -1.295 1895 4 12.741 -0.838 0 0 12.741 -0.838 13.308 -0.493 1895 5 16.900 -1.573 0 0 16.900 -1.573 17.107 -1.590 1895 6 23.907 1.203 0 0 23.907 1.203 23.825 0.897 1895 7 22.701 -2.347 0 0 22.701 -2.347 23.355 -1.917 1895 8 24.959 0.519 0 0 24.959 0.519 25.279 0.616 1895 9 22.167 1.364 0 0 22.167 1.364 23.286 2.260 1895 10 10.394 -3.781 0 0 10.394 -3.781 11.369 -3.029 1895 11 8.519 -0.214 0 0 8.519 -0.214 9.247 0.292 1895 12 2.849 -0.661 0 0 2.849 -0.661 3.785 0.052 1896 1 1.722 -0.076 0 0 1.722 -0.076 1.218 -0.803 1896 2 3.678 0.572 0 0 3.678 0.572 3.019 -0.310 1896 3 5.609 -2.279 0 0 5.609 -2.279 5.702 -2.409 1896 4 NaN NaN NaN NaN NaN NaN 15.217 1.415 1896 5 NaN NaN NaN NaN NaN NaN 21.223 2.527 1896 6 NaN NaN NaN NaN NaN NaN 22.406 -0.521 1896 7 NaN NaN NaN NaN NaN NaN 25.479 0.208 1896 8 NaN NaN NaN NaN NaN NaN 25.004 0.341 1896 9 NaN NaN NaN NaN NaN NaN 20.604 -0.422 1896 10 NaN NaN NaN NaN NaN NaN 12.510 -1.888 1896 11 NaN NaN NaN NaN NaN NaN 11.441 2.485 1896 12 NaN NaN NaN NaN NaN NaN 2.377 -1.356 1897 1 NaN NaN NaN NaN NaN NaN 0.165 -1.856 1897 2 NaN NaN NaN NaN NaN NaN 3.464 0.135 1897 3 NaN NaN NaN NaN NaN NaN 9.298 1.187