% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 26789 % Primary Name: BILOXI DISPLAY % Record Type: TAVG % Country: United States % State: MS % Latitude: 30.40000 +/- 0.00005 % Longitude: -88.88330 +/- 0.00005 % Elevation (m): 8.20 +/- 0.05 % # of Months: 84 % % IDs: coop - 220801 % ghcnd - USC00220801 % ncdc - 20011128 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 16adb0dfb2d569f0b14f01fcb042c7fc % Raw Data Hash: 68e2b5b857fb9b781ea02a9c5a0f6110 % Adj Data Hash: 655e93dba709f46a78376d1bafdb51f5 % % 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 1946 4 NaN NaN NaN NaN NaN NaN 21.192 1.163 1946 5 NaN NaN NaN NaN NaN NaN 23.333 -0.241 1946 6 NaN NaN NaN NaN NaN NaN 25.555 -0.785 1946 7 NaN NaN NaN NaN NaN NaN 26.739 -0.532 1946 8 NaN NaN NaN NaN NaN NaN 27.357 -0.126 1946 9 NaN NaN NaN NaN NaN NaN 26.089 -0.406 1946 10 NaN NaN NaN NaN NaN NaN 23.130 0.809 1946 11 NaN NaN NaN NaN NaN NaN 21.158 3.053 1946 12 NaN NaN NaN NaN NaN NaN 17.314 2.222 1947 1 NaN NaN NaN NaN NaN NaN 15.430 1.995 1947 2 NaN NaN NaN NaN NaN NaN 10.709 -3.267 1947 3 NaN NaN NaN NaN NaN NaN 14.144 -2.368 1947 4 20.222 1.340 0 0 20.222 1.340 21.000 0.971 1947 5 23.111 0.684 0 0 23.111 0.684 23.483 -0.091 1947 6 26.111 0.918 0 0 26.111 0.918 26.819 0.479 1947 7 27.000 0.877 0 0 27.000 0.877 26.624 -0.647 1947 8 27.111 0.775 0 0 27.111 0.775 27.552 0.068 1947 9 26.444 1.097 0 0 26.444 1.097 27.214 0.719 1947 10 23.000 1.827 0 0 23.000 1.827 24.589 2.268 1947 11 15.611 -1.347 0 0 15.611 -1.347 18.100 -0.006 1947 12 12.222 -1.722 0 0 12.222 -1.722 15.594 0.502 1948 1 7.833 -4.454 0 0 7.833 -4.454 10.273 -3.162 1948 2 12.444 -0.384 0 0 12.444 -0.384 14.863 0.886 1948 3 17.111 1.746 0 0 17.111 1.746 18.440 1.927 1948 4 21.167 2.284 0 0 21.167 2.284 21.807 1.777 1948 5 24.222 1.795 0 0 24.222 1.795 24.259 0.684 1948 6 27.000 1.807 0 0 27.000 1.807 27.198 0.858 1948 7 28.000 1.877 0 0 28.000 1.877 27.521 0.251 1948 8 27.167 0.831 0 0 27.167 0.831 27.134 -0.349 1948 9 24.167 -1.181 0 0 24.167 -1.181 25.494 -1.001 1948 10 19.611 -1.562 0 0 19.611 -1.562 21.454 -0.866 1948 11 17.222 0.264 0 0 17.222 0.264 19.723 1.618 1948 12 NaN NaN NaN NaN NaN NaN 17.961 2.870 1949 1 14.722 2.434 0 0 14.722 2.434 17.272 3.837 1949 2 15.389 2.560 0 0 15.389 2.560 17.233 3.256 1949 3 15.556 0.191 0 0 15.556 0.191 16.592 0.080 1949 4 18.889 0.007 0 0 18.889 0.007 19.580 -0.449 1949 5 24.500 2.073 0 0 24.500 2.073 23.972 0.398 1949 6 27.222 2.029 0 0 27.222 2.029 26.710 0.369 1949 7 27.444 1.321 0 0 27.444 1.321 26.893 -0.377 1949 8 27.667 1.331 0 0 27.667 1.331 27.517 0.033 1949 9 25.056 -0.292 0 0 25.056 -0.292 26.462 -0.033 1949 10 22.944 1.771 0 0 22.944 1.771 24.908 2.587 1949 11 15.111 -1.847 0 0 15.111 -1.847 17.336 -0.769 1949 12 13.556 -0.389 0 0 13.556 -0.389 17.308 2.216 1950 1 18.056 5.768 0 0 18.056 5.768 20.685 7.250 1950 2 15.944 3.116 0 0 15.944 3.116 16.750 2.774 1950 3 14.111 -1.254 0 0 14.111 -1.254 15.173 -1.339 1950 4 18.444 -0.438 0 0 18.444 -0.438 18.000 -2.030 1950 5 24.500 2.073 0 0 24.500 2.073 24.327 0.753 1950 6 27.167 1.974 0 0 27.167 1.974 26.880 0.539 1950 7 26.667 0.544 0 0 26.667 0.544 26.186 -1.085 1950 8 27.167 0.831 0 0 27.167 0.831 27.132 -0.351 1950 9 25.556 0.208 0 0 25.556 0.208 26.455 -0.040 1950 10 21.722 0.549 0 0 21.722 0.549 22.980 0.659 1950 11 13.667 -3.291 0 0 13.667 -3.291 16.290 -1.816 1950 12 10.611 -3.333 0 0 10.611 -3.333 13.663 -1.429 1951 1 11.889 -0.399 0 0 11.889 -0.399 14.487 1.052 1951 2 12.611 -0.218 0 0 12.611 -0.218 14.005 0.029 1951 3 16.722 1.357 0 0 16.722 1.357 17.457 0.945 1951 4 18.056 -0.827 0 0 18.056 -0.827 18.703 -1.326 1951 5 23.667 1.240 0 0 23.667 1.240 23.317 -0.258 1951 6 26.833 1.640 0 0 26.833 1.640 26.900 0.560 1951 7 28.056 1.933 0 0 28.056 1.933 27.653 0.383 1951 8 29.611 3.275 0 0 29.611 3.275 29.208 1.725 1951 9 25.833 0.486 0 0 25.833 0.486 27.241 0.746 1951 10 21.889 0.716 0 0 21.889 0.716 23.579 1.259 1951 11 12.778 -4.180 0 0 12.778 -4.180 15.769 -2.336 1951 12 13.500 -0.445 0 0 13.500 -0.445 17.341 2.249 1952 1 14.889 2.601 0 0 14.889 2.601 17.553 4.118 1952 2 14.667 1.838 0 0 14.667 1.838 15.492 1.516 1952 3 15.056 -0.309 0 0 15.056 -0.309 16.102 -0.411 1952 4 18.778 -0.104 0 0 18.778 -0.104 18.753 -1.277 1952 5 23.611 1.184 0 0 23.611 1.184 23.782 0.208 1952 6 28.611 3.418 0 0 28.611 3.418 28.127 1.786 1952 7 28.056 1.933 0 0 28.056 1.933 27.686 0.415 1952 8 28.222 1.886 0 0 28.222 1.886 27.773 0.290 1952 9 24.389 -0.959 0 0 24.389 -0.959 25.792 -0.704 1952 10 17.556 -3.618 0 0 17.556 -3.618 19.325 -2.996 1952 11 13.944 -3.013 0 0 13.944 -3.013 17.111 -0.994 1952 12 11.500 -2.445 0 0 11.500 -2.445 14.970 -0.122 1953 1 12.556 0.268 0 0 12.556 0.268 15.006 1.571 1953 2 12.500 -0.329 0 0 12.500 -0.329 14.371 0.395 1953 3 17.278 1.913 0 0 17.278 1.913 18.903 2.391 1953 4 19.056 0.173 0 0 19.056 0.173 19.558 -0.472 1953 5 25.222 2.795 0 0 25.222 2.795 25.192 1.618 1953 6 27.889 2.696 0 0 27.889 2.696 27.873 1.533 1953 7 27.278 1.155 0 0 27.278 1.155 27.136 -0.134 1953 8 26.944 0.609 0 0 26.944 0.609 27.131 -0.352 1953 9 25.389 0.041 0 0 25.389 0.041 26.346 -0.149 1953 10 21.333 0.160 0 0 21.333 0.160 22.760 0.439 1953 11 15.111 -1.847 0 0 15.111 -1.847 17.727 -0.378 1953 12 11.000 -2.945 0 0 11.000 -2.945 14.484 -0.608 1954 1 12.056 -0.232 0 0 12.056 -0.232 14.733 1.298 1954 2 14.056 1.227 0 0 14.056 1.227 15.643 1.667 1954 3 14.056 -1.309 0 0 14.056 -1.309 15.797 -0.716 1954 4 21.056 2.173 0 0 21.056 2.173 22.092 2.063 1954 5 NaN NaN NaN NaN NaN NaN 21.653 -1.921 1954 6 NaN NaN NaN NaN NaN NaN 27.046 0.706 1954 7 NaN NaN NaN NaN NaN NaN 27.752 0.482 1954 8 NaN NaN NaN NaN NaN NaN 28.850 1.367 1954 9 NaN NaN NaN NaN NaN NaN 28.166 1.671 1954 10 NaN NaN NaN NaN NaN NaN 22.851 0.531 1954 11 NaN NaN NaN NaN NaN NaN 16.945 -1.161 1954 12 NaN NaN NaN NaN NaN NaN 14.778 -0.314 1955 1 NaN NaN NaN NaN NaN NaN 13.298 -0.137 1955 2 NaN NaN NaN NaN NaN NaN 14.999 1.022 1955 3 NaN NaN NaN NaN NaN NaN 18.539 2.027 1955 4 NaN NaN NaN NaN NaN NaN 21.387 1.357