% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27606 % Primary Name: COMO % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.10000 +/- 0.00833 % Longitude: -91.60000 +/- 0.00833 % Elevation (m): 22.32 +/- 10.00 % # of Months: 29 % % Alternate Names: Missing Station ID - 161981 % % IDs: coop - 161981 % ghcnd - USC00161981 % ncdc - 20008979 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c4f40beba888e75dc8d606fa60447971 % Raw Data Hash: 8e1243d9df785bd78abd9324e89cb79e % Adj Data Hash: 4aa3212f4150c954a198df59b5f5241d % % 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 1896 7 NaN NaN NaN NaN NaN NaN 28.487 0.533 1896 8 NaN NaN NaN NaN NaN NaN 28.378 0.773 1896 9 NaN NaN NaN NaN NaN NaN 25.140 0.074 1896 10 NaN NaN NaN NaN NaN NaN 18.400 -0.821 1896 11 NaN NaN NaN NaN NaN NaN 15.555 1.622 1896 12 NaN NaN NaN NaN NaN NaN 10.121 -0.180 1897 1 NaN NaN NaN NaN NaN NaN 7.111 -1.877 1897 2 NaN NaN NaN NaN NaN NaN 11.596 0.750 1897 3 NaN NaN NaN NaN NaN NaN 18.048 3.247 1897 4 NaN NaN NaN NaN NaN NaN 18.801 -0.512 1897 5 NaN NaN NaN NaN NaN NaN 21.751 -1.441 1897 6 NaN NaN NaN NaN NaN NaN 27.205 0.614 1897 7 27.750 0.138 1 0 NaN NaN 28.266 0.311 1897 8 26.441 -0.821 0 0 26.441 -0.821 27.149 -0.456 1897 9 NaN NaN NaN NaN NaN NaN 25.098 0.032 1897 10 19.341 0.462 0 0 19.341 0.462 20.987 1.765 1897 11 NaN NaN NaN NaN NaN NaN 14.611 0.679 1897 12 NaN NaN NaN NaN NaN NaN 9.785 -0.516 1898 1 NaN NaN NaN NaN NaN NaN 11.331 2.343 1898 2 NaN NaN NaN NaN NaN NaN 11.070 0.223 1898 3 17.976 3.517 1 0 NaN NaN 15.665 0.863 1898 4 17.719 -1.251 0 0 17.719 -1.251 16.688 -2.626 1898 5 23.502 0.652 0 0 23.502 0.652 23.328 0.135 1898 6 26.782 0.533 0 0 26.782 0.533 26.622 0.031 1898 7 26.929 -0.683 0 0 26.929 -0.683 26.996 -0.959 1898 8 27.002 -0.261 0 0 27.002 -0.261 26.967 -0.638 1898 9 NaN NaN NaN NaN NaN NaN 25.417 0.351 1898 10 NaN NaN NaN NaN NaN NaN 17.503 -1.718 1898 11 NaN NaN NaN NaN NaN NaN 11.014 -2.919 1898 12 NaN NaN NaN NaN NaN NaN 7.689 -2.612 1899 1 NaN NaN NaN NaN NaN NaN 8.076 -0.913 1899 2 NaN NaN NaN NaN NaN NaN 4.950 -5.896 1899 3 NaN NaN NaN NaN NaN NaN 15.322 0.520 1899 4 NaN NaN NaN NaN NaN NaN 17.817 -1.497 1899 5 NaN NaN NaN NaN NaN NaN 25.130 1.937 1899 6 NaN NaN NaN NaN NaN NaN 26.500 -0.091 1899 7 28.764 1.152 1 0 NaN NaN 27.781 -0.173 1899 8 28.658 1.396 0 0 28.658 1.396 28.440 0.835 1899 9 22.603 -2.120 0 0 22.603 -2.120 23.632 -1.434 1899 10 20.058 1.179 0 0 20.058 1.179 20.187 0.965 1899 11 13.668 0.079 0 0 13.668 0.079 14.308 0.376 1899 12 9.269 -0.690 1 0 NaN NaN 9.272 -1.029 1900 1 8.242 -0.404 0 0 8.242 -0.404 8.717 -0.271 1900 2 8.259 -2.245 0 0 8.259 -2.245 8.723 -2.123 1900 3 13.063 -1.396 0 0 13.063 -1.396 13.695 -1.107 1900 4 18.898 -0.072 0 0 18.898 -0.072 19.052 -0.261 1900 5 NaN NaN NaN NaN NaN NaN 22.760 -0.432 1900 6 25.846 -0.402 0 0 25.846 -0.402 26.362 -0.230 1900 7 27.067 -0.545 1 0 NaN NaN 26.875 -1.079 1900 8 27.158 -0.104 0 0 27.158 -0.104 27.202 -0.403 1900 9 27.154 2.430 1 0 NaN NaN 27.519 2.453 1900 10 20.698 1.820 0 0 20.698 1.820 20.765 1.544 1900 11 14.031 0.441 1 0 NaN NaN 14.667 0.735 1900 12 8.608 -1.351 1 0 NaN NaN 10.313 0.012 1901 1 9.686 1.040 1 0 NaN NaN 10.493 1.504 1901 2 7.835 -2.669 0 0 7.835 -2.669 8.493 -2.353 1901 3 NaN NaN NaN NaN NaN NaN 13.944 -0.858 1901 4 15.380 -3.591 0 0 15.380 -3.591 16.623 -2.690 1901 5 NaN NaN NaN NaN NaN NaN 21.984 -1.208 1901 6 NaN NaN NaN NaN NaN NaN 27.361 0.770 1901 7 NaN NaN NaN NaN NaN NaN 28.126 0.171 1901 8 NaN NaN NaN NaN NaN NaN 27.323 -0.282 1901 9 NaN NaN NaN NaN NaN NaN 23.878 -1.188 1901 10 NaN NaN NaN NaN NaN NaN 18.367 -0.854 1901 11 NaN NaN NaN NaN NaN NaN 12.572 -1.360 1901 12 NaN NaN NaN NaN NaN NaN 8.154 -2.148 1902 1 NaN NaN NaN NaN NaN NaN 6.908 -2.080 1902 2 NaN NaN NaN NaN NaN NaN 6.784 -4.062 1902 3 NaN NaN NaN NaN NaN NaN 14.831 0.029 1902 4 NaN NaN NaN NaN NaN NaN 19.388 0.075