% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26968 % Primary Name: ROSELAND % Record Type: TAVG % Country: United States % State: LA % Latitude: 30.76670 +/- 0.00005 % Longitude: -90.51670 +/- 0.00005 % Elevation (m): 51.96 +/- 24.23 % # of Months: 22 % % Alternate Names: Missing Station ID - 168004 % % IDs: coop - 168004 % ghcnd - USC00168004 % ncdc - 12010034 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 196201ae7b100821a57ccc430c6b1815 % Raw Data Hash: 5de3e8686fa78f5b6627a1bd11fb16a8 % Adj Data Hash: fe768152d2c827496185e4754435d820 % % 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 1891 5 NaN NaN NaN NaN NaN NaN 20.779 -1.870 1891 6 NaN NaN NaN NaN NaN NaN 26.587 0.499 1891 7 NaN NaN NaN NaN NaN NaN 25.894 -1.455 1891 8 NaN NaN NaN NaN NaN NaN 25.306 -1.718 1891 9 NaN NaN NaN NaN NaN NaN 24.520 -0.206 1891 10 NaN NaN NaN NaN NaN NaN 16.104 -2.674 1891 11 NaN NaN NaN NaN NaN NaN 12.899 -0.699 1891 12 NaN NaN NaN NaN NaN NaN 11.469 1.338 1892 1 NaN NaN NaN NaN NaN NaN 5.064 -3.819 1892 2 NaN NaN NaN NaN NaN NaN 12.339 1.673 1892 3 NaN NaN NaN NaN NaN NaN 11.567 -2.956 1892 4 NaN NaN NaN NaN NaN NaN 19.150 0.329 1892 5 22.634 -1.137 0 0 22.634 -1.137 21.976 -0.673 1892 6 25.630 -1.581 0 0 25.630 -1.581 25.360 -0.728 1892 7 25.394 -3.076 0 0 25.394 -3.076 25.844 -1.504 1892 8 NaN NaN NaN NaN NaN NaN 26.185 -0.840 1892 9 NaN NaN NaN NaN NaN NaN 23.180 -1.545 1892 10 NaN NaN NaN NaN NaN NaN 18.675 -0.103 1892 11 NaN NaN NaN NaN NaN NaN 13.638 0.040 1892 12 12.366 1.112 0 0 12.366 1.112 9.934 -0.197 1893 1 8.737 -1.268 0 0 8.737 -1.268 7.101 -1.782 1893 2 NaN NaN NaN NaN NaN NaN 12.826 2.160 1893 3 14.932 -0.713 0 0 14.932 -0.713 13.538 -0.985 1893 4 21.615 1.671 0 0 21.615 1.671 20.835 2.013 1893 5 23.610 -0.161 0 0 23.610 -0.161 22.478 -0.171 1893 6 26.573 -0.637 0 0 26.573 -0.637 26.088 0.000 1893 7 27.963 -0.508 0 0 27.963 -0.508 27.451 0.103 1893 8 26.781 -1.366 0 0 26.781 -1.366 26.073 -0.951 1893 9 25.580 -0.268 0 0 25.580 -0.268 24.497 -0.229 1893 10 18.912 -0.989 0 0 18.912 -0.989 16.782 -1.996 1893 11 NaN NaN NaN NaN NaN NaN 12.377 -1.221 1893 12 13.463 2.209 0 0 13.463 2.209 10.929 0.797 1894 1 13.513 3.507 0 0 13.513 3.507 10.448 1.565 1894 2 11.667 -0.121 1 0 NaN NaN 8.728 -1.938 1894 3 16.556 0.910 0 0 16.556 0.910 15.417 0.894 1894 4 21.332 1.388 0 0 21.332 1.388 19.760 0.939 1894 5 23.226 -0.546 0 0 23.226 -0.546 22.530 -0.119 1894 6 25.389 -1.821 0 0 25.389 -1.821 24.990 -1.098 1894 7 26.022 -2.449 0 0 26.022 -2.449 25.594 -1.755 1894 8 NaN NaN NaN NaN NaN NaN 25.900 -1.125 1894 9 25.778 -0.070 0 0 25.778 -0.070 24.810 0.084 1894 10 NaN NaN NaN NaN NaN NaN 17.832 -0.946 1894 11 NaN NaN NaN NaN NaN NaN 12.578 -1.020 1894 12 NaN NaN NaN NaN NaN NaN 11.016 0.885 1895 1 NaN NaN NaN NaN NaN NaN 7.623 -1.260 1895 2 NaN NaN NaN NaN NaN NaN 3.986 -6.680 1895 3 NaN NaN NaN NaN NaN NaN 14.567 0.044 1895 4 NaN NaN NaN NaN NaN NaN 18.491 -0.330 1895 5 NaN NaN NaN NaN NaN NaN 21.736 -0.913 1895 6 NaN NaN NaN NaN NaN NaN 26.089 0.001 1895 7 NaN NaN NaN NaN NaN NaN 27.095 -0.253 1895 8 NaN NaN NaN NaN NaN NaN 26.442 -0.582 1895 9 NaN NaN NaN NaN NaN NaN 26.521 1.795