% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27334 % Primary Name: WHITE SULPHUR SPRING % Record Type: TAVG % Country: United States % State: LA % Latitude: 31.60000 +/- 0.00005 % Longitude: -92.26670 +/- 0.00005 % Elevation (m): 27.56 +/- 22.11 % # of Months: 56 % % Alternate Names: Missing Station ID - 169685 % % IDs: coop - 169685 % ghcnd - USC00169685 % ncdc - 20008942 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: de00cb1a6113abfc9ef9ba65e129d0fe % Raw Data Hash: fb9b6891af122c9de3d1c43c84e90b3c % Adj Data Hash: a9d91e1b1b9f7fd898721eaa17286853 % % 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 1894 9 NaN NaN NaN NaN NaN NaN 24.885 -0.181 1894 10 NaN NaN NaN NaN NaN NaN 18.672 -0.549 1894 11 NaN NaN NaN NaN NaN NaN 13.078 -0.855 1894 12 NaN NaN NaN NaN NaN NaN 11.312 1.010 1895 1 NaN NaN NaN NaN NaN NaN 7.912 -1.076 1895 2 NaN NaN NaN NaN NaN NaN 4.330 -6.517 1895 3 NaN NaN NaN NaN NaN NaN 14.658 -0.144 1895 4 NaN NaN NaN NaN NaN NaN 18.594 -0.719 1895 5 NaN NaN NaN NaN NaN NaN 21.903 -1.289 1895 6 NaN NaN NaN NaN NaN NaN 26.356 -0.236 1895 7 NaN NaN NaN NaN NaN NaN 27.383 -0.571 1895 8 NaN NaN NaN NaN NaN NaN 27.084 -0.521 1895 9 25.673 -0.426 0 0 25.673 -0.426 26.549 1.482 1895 10 7.919 -12.335 1 0 NaN NaN 16.653 -2.569 1895 11 NaN NaN NaN NaN NaN NaN 13.182 -0.750 1895 12 10.053 -1.281 0 0 10.053 -1.281 10.023 -0.278 1896 1 7.855 -2.167 0 0 7.855 -2.167 7.884 -1.104 1896 2 10.443 -1.436 1 0 NaN NaN 10.166 -0.680 1896 3 13.689 -2.146 0 0 13.689 -2.146 13.797 -1.004 1896 4 20.467 0.120 0 0 20.467 0.120 20.933 1.620 1896 5 24.318 0.093 1 0 NaN NaN 25.072 1.880 1896 6 NaN NaN NaN NaN NaN NaN 26.886 0.294 1896 7 NaN NaN NaN NaN NaN NaN 28.487 0.533 1896 8 29.123 0.484 0 0 29.123 0.484 28.378 0.773 1896 9 25.030 -1.069 0 0 25.030 -1.069 25.140 0.074 1896 10 18.987 -1.267 0 0 18.987 -1.267 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 10.093 0.072 1 0 NaN NaN 7.111 -1.877 1897 2 NaN NaN NaN NaN NaN NaN 11.596 0.750 1897 3 18.839 3.004 0 0 18.839 3.004 18.048 3.247 1897 4 19.700 -0.647 0 0 19.700 -0.647 18.801 -0.512 1897 5 22.303 -1.923 0 0 22.303 -1.923 21.751 -1.441 1897 6 27.388 -0.236 0 0 27.388 -0.236 27.205 0.614 1897 7 28.977 -0.010 0 0 28.977 -0.010 28.266 0.311 1897 8 28.090 -0.548 0 0 28.090 -0.548 27.149 -0.456 1897 9 25.868 -0.231 0 0 25.868 -0.231 25.098 0.032 1897 10 21.698 1.444 0 0 21.698 1.444 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 NaN NaN NaN NaN NaN NaN 15.665 0.863 1898 4 17.218 -3.128 0 0 17.218 -3.128 16.688 -2.626 1898 5 24.189 -0.037 0 0 24.189 -0.037 23.328 0.135 1898 6 26.557 -1.068 0 0 26.557 -1.068 26.622 0.031 1898 7 NaN NaN NaN NaN NaN NaN 26.996 -0.959 1898 8 26.820 -1.818 0 0 26.820 -1.818 26.967 -0.638 1898 9 24.585 -1.514 0 0 24.585 -1.514 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 8.171 -1.851 0 0 8.171 -1.851 8.076 -0.913 1899 2 5.986 -5.894 0 0 5.986 -5.894 4.950 -5.896 1899 3 15.003 -0.832 0 0 15.003 -0.832 15.322 0.520 1899 4 NaN NaN NaN NaN NaN NaN 17.817 -1.497 1899 5 26.269 2.044 0 0 26.269 2.044 25.130 1.937 1899 6 27.535 -0.090 0 0 27.535 -0.090 26.500 -0.091 1899 7 29.347 0.359 0 0 29.347 0.359 27.781 -0.173 1899 8 29.390 0.752 0 0 29.390 0.752 28.440 0.835 1899 9 24.693 -1.406 0 0 24.693 -1.406 23.632 -1.434 1899 10 NaN NaN NaN NaN NaN NaN 20.187 0.965 1899 11 NaN NaN NaN NaN NaN NaN 14.308 0.376 1899 12 NaN NaN NaN NaN NaN NaN 9.272 -1.029 1900 1 NaN NaN NaN NaN NaN NaN 8.717 -0.271 1900 2 11.345 -0.535 0 0 11.345 -0.535 8.723 -2.123 1900 3 14.476 -1.359 0 0 14.476 -1.359 13.695 -1.107 1900 4 NaN NaN NaN NaN NaN NaN 19.052 -0.261 1900 5 25.952 1.726 0 0 25.952 1.726 22.760 -0.432 1900 6 28.587 0.962 0 0 28.587 0.962 26.362 -0.230 1900 7 30.023 1.035 0 0 30.023 1.035 26.875 -1.079 1900 8 30.981 2.342 0 0 30.981 2.342 27.202 -0.403 1900 9 30.390 4.291 0 0 30.390 4.291 27.519 2.453 1900 10 NaN NaN NaN NaN NaN NaN 20.765 1.544 1900 11 16.950 1.984 0 0 16.950 1.984 14.667 0.735 1900 12 12.019 0.685 0 0 12.019 0.685 10.313 0.012 1901 1 13.568 3.546 0 0 13.568 3.546 10.493 1.504 1901 2 11.147 -0.733 1 0 NaN NaN 8.493 -2.353 1901 3 17.156 1.322 0 0 17.156 1.322 13.944 -0.858 1901 4 NaN NaN NaN NaN NaN NaN 16.623 -2.690 1901 5 25.440 1.215 1 0 NaN NaN 21.984 -1.208 1901 6 28.805 1.180 0 0 28.805 1.180 27.361 0.770 1901 7 28.835 -0.152 0 0 28.835 -0.152 28.126 0.171 1901 8 28.177 -0.461 0 0 28.177 -0.461 27.323 -0.282 1901 9 24.380 -1.719 0 0 24.380 -1.719 23.878 -1.188 1901 10 19.571 -0.684 0 0 19.571 -0.684 18.367 -0.854 1901 11 13.778 -1.188 0 0 13.778 -1.188 12.572 -1.360 1901 12 8.997 -2.338 0 0 8.997 -2.338 8.154 -2.148 1902 1 8.473 -1.549 0 0 8.473 -1.549 6.908 -2.080 1902 2 8.140 -3.740 1 0 NaN NaN 6.784 -4.062 1902 3 15.999 0.164 0 0 15.999 0.164 14.831 0.029 1902 4 NaN NaN NaN NaN NaN NaN 19.388 0.075 1902 5 NaN NaN NaN NaN NaN NaN 24.539 1.346 1902 6 NaN NaN NaN NaN NaN NaN 27.624 1.033 1902 7 NaN NaN NaN NaN NaN NaN 27.574 -0.380 1902 8 NaN NaN NaN NaN NaN NaN 28.774 1.170 1902 9 NaN NaN NaN NaN NaN NaN 24.001 -1.065 1902 10 NaN NaN NaN NaN NaN NaN 18.407 -0.814 1902 11 NaN NaN NaN NaN NaN NaN 16.742 2.810 1902 12 NaN NaN NaN NaN NaN NaN 9.423 -0.879 1903 1 NaN NaN NaN NaN NaN NaN 7.768 -1.220 1903 2 NaN NaN NaN NaN NaN NaN 9.642 -1.204 1903 3 NaN NaN NaN NaN NaN NaN 15.786 0.984