% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26791 % Primary Name: MOSS POINT % Record Type: TAVG % Country: United States % State: MS % Latitude: 30.40000 +/- 0.00833 % Longitude: -88.50000 +/- 0.00833 % Elevation (m): 6.10 +/- 0.05 % # of Months: 83 % % Alternate Names: Missing Station ID - 226054 % % IDs: coop - 226054 % ghcnd - USC00226054 % ncdc - 20011125 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: d4067d60f3bb6d066e3551fb00926719 % Raw Data Hash: 2e98128541c95e5a3e3d2c2cb7aa272c % Adj Data Hash: 84bad9cd23ec35945f43d25d143c6260 % % 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 1890 3 NaN NaN NaN NaN NaN NaN 15.564 -0.948 1890 4 NaN NaN NaN NaN NaN NaN 20.529 0.500 1890 5 NaN NaN NaN NaN NaN NaN 22.825 -0.749 1890 6 NaN NaN NaN NaN NaN NaN 26.569 0.229 1890 7 NaN NaN NaN NaN NaN NaN 26.652 -0.618 1890 8 NaN NaN NaN NaN NaN NaN 26.463 -1.020 1890 9 NaN NaN NaN NaN NaN NaN 26.024 -0.471 1890 10 NaN NaN NaN NaN NaN NaN 21.212 -1.108 1890 11 NaN NaN NaN NaN NaN NaN 19.256 1.150 1890 12 NaN NaN NaN NaN NaN NaN 15.416 0.324 1891 1 NaN NaN NaN NaN NaN NaN 12.408 -1.027 1891 2 NaN NaN NaN NaN NaN NaN 16.920 2.944 1891 3 15.667 -0.412 0 0 15.667 -0.412 15.748 -0.764 1891 4 20.000 0.404 0 0 20.000 0.404 19.400 -0.630 1891 5 23.444 0.303 0 0 23.444 0.303 22.324 -1.250 1891 6 27.667 1.759 0 0 27.667 1.759 26.851 0.511 1891 7 NaN NaN NaN NaN NaN NaN 26.287 -0.983 1891 8 NaN NaN NaN NaN NaN NaN 26.627 -0.856 1891 9 NaN NaN NaN NaN NaN NaN 26.001 -0.494 1891 10 NaN NaN NaN NaN NaN NaN 20.072 -2.249 1891 11 NaN NaN NaN NaN NaN NaN 17.168 -0.938 1891 12 NaN NaN NaN NaN NaN NaN 15.690 0.598 1892 1 NaN NaN NaN NaN NaN NaN 10.623 -2.812 1892 2 NaN NaN NaN NaN NaN NaN 15.600 1.624 1892 3 14.000 -2.079 0 0 14.000 -2.079 14.375 -2.137 1892 4 19.222 -0.374 0 0 19.222 -0.374 20.101 0.071 1892 5 23.000 -0.141 0 0 23.000 -0.141 22.785 -0.789 1892 6 26.778 0.870 0 0 26.778 0.870 26.084 -0.257 1892 7 27.000 0.163 0 0 27.000 0.163 26.039 -1.232 1892 8 27.389 0.339 0 0 27.389 0.339 26.919 -0.564 1892 9 24.500 -1.562 0 0 24.500 -1.562 25.544 -0.951 1892 10 19.667 -2.221 0 0 19.667 -2.221 22.063 -0.257 1892 11 15.111 -2.561 0 0 15.111 -2.561 17.995 -0.110 1892 12 12.000 -2.659 0 0 12.000 -2.659 15.288 0.196 1893 1 8.239 -4.763 0 0 8.239 -4.763 10.844 -2.591 1893 2 15.000 1.457 0 0 15.000 1.457 16.103 2.126 1893 3 13.889 -2.190 0 0 13.889 -2.190 15.474 -1.038 1893 4 22.000 2.404 0 0 22.000 2.404 21.497 1.468 1893 5 24.667 1.526 0 0 24.667 1.526 23.627 0.053 1893 6 27.556 1.648 0 0 27.556 1.648 26.402 0.062 1893 7 29.000 2.163 0 0 29.000 2.163 27.616 0.346 1893 8 27.833 0.783 0 0 27.833 0.783 26.934 -0.549 1893 9 26.000 -0.062 0 0 26.000 -0.062 26.758 0.263 1893 10 18.889 -2.999 0 0 18.889 -2.999 21.025 -1.295 1893 11 14.667 -3.005 0 0 14.667 -3.005 17.532 -0.573 1893 12 NaN NaN NaN NaN NaN NaN 16.235 1.143 1894 1 13.444 0.442 0 0 13.444 0.442 15.367 1.932 1894 2 13.222 -0.321 0 0 13.222 -0.321 13.084 -0.892 1894 3 17.056 0.976 0 0 17.056 0.976 17.179 0.667 1894 4 21.778 2.181 0 0 21.778 2.181 20.949 0.919 1894 5 24.056 0.914 0 0 24.056 0.914 23.340 -0.235 1894 6 26.833 0.926 0 0 26.833 0.926 25.392 -0.948 1894 7 27.333 0.496 0 0 27.333 0.496 25.727 -1.544 1894 8 27.222 0.172 0 0 27.222 0.172 26.639 -0.844 1894 9 25.444 -0.618 0 0 25.444 -0.618 26.768 0.273 1894 10 19.889 -1.999 0 0 19.889 -1.999 21.624 -0.696 1894 11 13.667 -4.005 0 0 13.667 -4.005 16.845 -1.261 1894 12 12.222 -2.437 0 0 12.222 -2.437 15.759 0.667 1895 1 10.500 -2.502 0 0 10.500 -2.502 12.636 -0.799 1895 2 6.667 -6.876 0 0 6.667 -6.876 8.031 -5.945 1895 3 15.722 -0.357 0 0 15.722 -0.357 16.037 -0.476 1895 4 20.278 0.681 0 0 20.278 0.681 19.253 -0.776 1895 5 24.000 0.859 0 0 24.000 0.859 22.757 -0.818 1895 6 27.333 1.426 0 0 27.333 1.426 26.226 -0.114 1895 7 28.444 1.607 0 0 28.444 1.607 27.100 -0.170 1895 8 28.000 0.950 0 0 28.000 0.950 27.029 -0.454 1895 9 27.222 1.160 0 0 27.222 1.160 27.853 1.358 1895 10 19.056 -2.832 0 0 19.056 -2.832 20.627 -1.693 1895 11 14.111 -3.561 0 0 14.111 -3.561 17.012 -1.093 1895 12 10.222 -4.437 0 0 10.222 -4.437 13.632 -1.460 1896 1 10.778 -2.224 0 0 10.778 -2.224 11.928 -1.507 1896 2 11.889 -1.654 0 0 11.889 -1.654 13.117 -0.859 1896 3 15.278 -0.801 0 0 15.278 -0.801 15.558 -0.954 1896 4 21.778 2.181 0 0 21.778 2.181 21.010 0.980 1896 5 25.556 2.414 0 0 25.556 2.414 25.184 1.610 1896 6 26.877 0.969 0 0 26.877 0.969 26.342 0.001 1896 7 28.278 1.441 0 0 28.278 1.441 27.311 0.041 1896 8 29.333 2.283 0 0 29.333 2.283 28.092 0.609 1896 9 25.778 -0.284 0 0 25.778 -0.284 26.564 0.069 1896 10 20.324 -1.563 0 0 20.324 -1.563 22.073 -0.248 1896 11 18.333 0.661 0 0 18.333 0.661 20.170 2.065 1896 12 10.944 -3.714 0 0 10.944 -3.714 14.385 -0.707 1897 1 9.000 -4.002 0 0 9.000 -4.002 11.765 -1.671 1897 2 13.500 -0.043 0 0 13.500 -0.043 14.675 0.699 1897 3 19.667 3.588 0 0 19.667 3.588 20.011 3.499 1897 4 19.111 -0.485 0 0 19.111 -0.485 19.550 -0.479 1897 5 22.611 -0.530 0 0 22.611 -0.530 22.267 -1.307 1897 6 28.222 2.315 0 0 28.222 2.315 27.406 1.065 1897 7 28.889 2.052 0 0 28.889 2.052 27.717 0.446 1897 8 27.889 0.839 0 0 27.889 0.839 27.041 -0.443 1897 9 25.556 -0.506 0 0 25.556 -0.506 26.251 -0.244 1897 10 NaN NaN NaN NaN NaN NaN 23.145 0.825 1897 11 NaN NaN NaN NaN NaN NaN 19.082 0.977 1897 12 NaN NaN NaN NaN NaN NaN 15.820 0.728 1898 1 15.556 2.554 0 0 15.556 2.554 15.421 1.986 1898 2 13.111 -0.432 0 0 13.111 -0.432 13.295 -0.681 1898 3 18.222 2.143 0 0 18.222 2.143 18.339 1.827 1898 4 16.111 -3.485 0 0 16.111 -3.485 17.689 -2.341 1898 5 24.778 1.637 0 0 24.778 1.637 23.827 0.253 1898 6 27.722 1.815 0 0 27.722 1.815 26.727 0.386 1898 7 28.000 1.163 0 0 28.000 1.163 26.599 -0.671 1898 8 27.444 0.394 0 0 27.444 0.394 26.551 -0.932 1898 9 NaN NaN NaN NaN NaN NaN 26.832 0.337 1898 10 18.389 -3.499 0 0 18.389 -3.499 20.376 -1.945 1898 11 13.333 -4.339 0 0 13.333 -4.339 16.409 -1.696 1898 12 NaN NaN NaN NaN NaN NaN 13.107 -1.985 1899 1 9.500 -3.502 0 0 9.500 -3.502 12.866 -0.569 1899 2 NaN NaN NaN NaN NaN NaN 10.168 -3.808 1899 3 NaN NaN NaN NaN NaN NaN 17.193 0.681 1899 4 20.222 0.626 0 0 20.222 0.626 18.747 -1.282 1899 5 27.889 4.748 0 0 27.889 4.748 25.259 1.685 1899 6 NaN NaN NaN NaN NaN NaN 26.284 -0.057 1899 7 NaN NaN NaN NaN NaN NaN 26.881 -0.389 1899 8 NaN NaN NaN NaN NaN NaN 27.636 0.153 1899 9 NaN NaN NaN NaN NaN NaN 25.596 -0.899 1899 10 NaN NaN NaN NaN NaN NaN 22.523 0.202 1899 11 NaN NaN NaN NaN NaN NaN 18.705 0.600 1899 12 NaN NaN NaN NaN NaN NaN 14.810 -0.282 1900 1 NaN NaN NaN NaN NaN NaN 12.111 -1.324 1900 2 NaN NaN NaN NaN NaN NaN 12.275 -1.702 1900 3 NaN NaN NaN NaN NaN NaN 15.627 -0.885 1900 4 NaN NaN NaN NaN NaN NaN 19.634 -0.396 1900 5 NaN NaN NaN NaN NaN NaN 23.649 0.075