% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 27893 % Primary Name: FLORA (1) % Record Type: TAVG % Country: United States % State: MS % Latitude: 32.56665 +/- 0.03340 % Longitude: -90.32500 +/- 0.00835 % Elevation (m): 66.38 +/- 0.77 % # of Months: 66 % % Alternate Names: FLORA % Missing Station ID - 223069 % % IDs: coop - 223067 % coop - 223069 % ghcnd - USC00223067 % ghcnd - USC00223069 % ncdc - 12002847 % ncdc - 20011285 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 4f5b04472c7d54be9e0db80efdcfa163 % Raw Data Hash: 449cee8f7ea95f455c41375d35962ff0 % Adj Data Hash: 07a625f8cde339efb7e7c0c0e32759aa % % 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 1942 4 NaN NaN NaN NaN NaN NaN 18.670 0.481 1942 5 NaN NaN NaN NaN NaN NaN 21.687 -0.858 1942 6 NaN NaN NaN NaN NaN NaN 26.709 0.408 1942 7 NaN NaN NaN NaN NaN NaN 27.969 0.145 1942 8 NaN NaN NaN NaN NaN NaN 26.998 -0.269 1942 9 NaN NaN NaN NaN NaN NaN 23.452 -0.899 1942 10 NaN NaN NaN NaN NaN NaN 18.936 0.833 1942 11 NaN NaN NaN NaN NaN NaN 14.957 2.541 1942 12 NaN NaN NaN NaN NaN NaN 8.986 0.671 1943 1 NaN NaN NaN NaN NaN NaN 7.508 0.798 1943 2 NaN NaN NaN NaN NaN NaN 10.176 1.345 1943 3 NaN NaN NaN NaN NaN NaN 11.337 -1.765 1943 4 24.767 5.929 1 0 NaN NaN 18.840 0.650 1943 5 24.222 1.030 0 0 24.411 1.218 24.200 1.655 1943 6 27.889 0.940 0 0 28.077 1.129 28.455 2.154 1943 7 28.111 -0.361 0 0 28.300 -0.173 28.709 0.885 1943 8 29.000 1.085 0 0 29.188 1.273 29.111 1.845 1943 9 22.722 -2.277 0 0 22.911 -2.088 23.306 -1.044 1943 10 17.556 -1.196 1 0 NaN NaN 17.007 -1.096 1943 11 10.667 -2.397 0 0 10.855 -2.208 10.947 -1.468 1943 12 8.944 -0.018 0 0 9.133 0.170 8.011 -0.304 1944 1 8.556 1.198 0 0 8.744 1.387 6.937 0.227 1944 2 12.889 3.410 0 0 13.077 3.598 11.606 2.776 1944 3 14.111 0.361 0 0 14.300 0.550 13.594 0.493 1944 4 18.667 -0.171 0 0 18.855 0.018 17.744 -0.445 1944 5 NaN NaN NaN NaN NaN NaN 22.558 0.013 1944 6 27.556 0.607 0 0 27.744 0.795 27.974 1.674 1944 7 28.222 -0.250 0 0 28.411 -0.062 28.267 0.443 1944 8 27.667 -0.248 0 0 27.855 -0.060 27.661 0.394 1944 9 24.667 -0.332 0 0 24.855 -0.144 25.139 0.788 1944 10 17.500 -1.251 0 0 17.688 -1.063 18.034 -0.069 1944 11 13.111 0.048 0 0 13.300 0.236 12.991 0.576 1944 12 7.278 -1.685 0 0 7.466 -1.497 6.372 -1.942 1945 1 8.444 1.087 0 0 8.633 1.275 6.667 -0.043 1945 2 18.333 8.854 0 0 18.522 9.043 10.076 1.245 1945 3 18.333 4.584 0 0 18.522 4.772 17.121 4.019 1945 4 18.889 0.052 0 0 19.077 0.240 18.837 0.647 1945 5 20.444 -2.748 0 0 20.633 -2.560 20.644 -1.900 1945 6 26.000 -0.949 0 0 26.188 -0.760 26.297 -0.004 1945 7 26.111 -2.361 0 0 26.300 -2.173 26.831 -0.993 1945 8 26.333 -1.582 0 0 26.522 -1.393 26.759 -0.508 1945 9 25.670 0.671 1 0 NaN NaN 25.630 1.280 1945 10 17.722 -1.029 0 0 17.911 -0.841 17.250 -0.853 1945 11 NaN NaN NaN NaN NaN NaN 14.442 2.027 1945 12 NaN NaN NaN NaN NaN NaN 5.784 -2.531 1946 1 NaN NaN NaN NaN NaN NaN 7.038 0.328 1946 2 NaN NaN NaN NaN NaN NaN 10.209 1.378 1946 3 NaN NaN NaN NaN NaN NaN 15.581 2.480 1946 4 NaN NaN NaN NaN NaN NaN 19.916 1.727 1946 5 NaN NaN NaN NaN NaN NaN 21.322 -1.222 1946 6 25.833 -1.115 0 0 26.022 -0.927 25.731 -0.570 1946 7 26.778 -1.694 0 0 26.966 -1.506 27.010 -0.815 1946 8 26.889 -1.026 0 4 25.766 -2.149 26.368 -0.899 1946 9 25.222 0.223 0 0 24.099 -0.900 24.006 -0.345 1946 10 20.722 1.971 0 0 19.599 0.848 18.620 0.517 1946 11 18.778 5.714 0 0 17.655 4.591 14.920 2.505 1946 12 NaN NaN NaN NaN NaN NaN 10.901 2.587 1947 1 NaN NaN NaN NaN NaN NaN 7.676 0.966 1947 2 NaN NaN NaN NaN NaN NaN 4.609 -4.222 1947 3 NaN NaN NaN NaN NaN NaN 9.372 -3.729 1947 4 NaN NaN NaN NaN NaN NaN 18.353 0.164 1947 5 22.500 -0.693 0 0 21.377 -1.816 21.292 -1.253 1947 6 26.889 -0.060 0 0 25.766 -1.183 26.523 0.222 1947 7 29.444 0.972 0 0 28.321 -0.151 26.245 -1.579 1947 8 29.556 1.640 0 0 28.432 0.517 28.721 1.454 1947 9 NaN NaN NaN NaN NaN NaN 25.814 1.463 1947 10 22.000 3.249 0 0 20.877 2.126 21.351 3.248 1947 11 NaN NaN NaN NaN NaN NaN 11.355 -1.061 1947 12 NaN NaN NaN NaN NaN NaN 9.209 0.895 1948 1 1.400 -5.957 1 0 NaN NaN 2.536 -4.173 1948 2 10.778 1.299 0 1 10.999 1.520 7.887 -0.944 1948 3 15.056 1.306 0 0 15.277 1.527 13.918 0.817 1948 4 20.000 1.163 0 0 20.221 1.384 20.291 2.102 1948 5 22.667 -0.526 0 0 22.888 -0.305 22.591 0.047 1948 6 27.500 0.551 0 0 27.721 0.772 27.495 1.195 1948 7 28.111 -0.361 0 0 28.332 -0.140 28.738 0.914 1948 8 25.580 -2.335 1 0 NaN NaN 26.784 -0.483 1948 9 19.873 -5.126 1 0 NaN NaN 23.632 -0.719 1948 10 17.222 -1.529 0 0 17.443 -1.308 17.046 -1.057 1948 11 13.889 0.825 0 0 14.110 1.047 13.197 0.782 1948 12 10.444 1.482 0 0 10.666 1.703 10.419 2.104 1949 1 11.778 4.420 0 0 11.999 4.642 9.989 3.279 1949 2 11.167 1.688 0 0 11.388 1.909 10.359 1.528 1949 3 12.778 -0.972 0 0 12.999 -0.751 12.815 -0.286 1949 4 17.111 -1.726 0 0 17.332 -1.505 17.386 -0.803 1949 5 23.553 0.361 1 0 NaN NaN 23.475 0.931 1949 6 26.167 -0.782 0 0 26.388 -0.561 26.880 0.579 1949 7 NaN NaN NaN NaN NaN NaN 27.887 0.063 1949 8 NaN NaN NaN NaN NaN NaN 26.692 -0.575 1949 9 23.500 -1.499 0 0 23.721 -1.278 23.705 -0.645 1949 10 20.667 1.915 0 0 20.888 2.137 19.720 1.617 1949 11 12.333 -0.730 0 0 12.555 -0.509 13.016 0.601 1949 12 11.333 2.371 0 0 11.555 2.592 10.410 2.096 1950 1 15.333 7.976 0 0 15.555 8.197 13.243 6.534 1950 2 13.444 3.965 0 0 13.666 4.187 11.356 2.525 1950 3 12.833 -0.916 0 0 13.055 -0.695 12.081 -1.020 1950 4 NaN NaN NaN NaN NaN NaN 16.275 -1.914 1950 5 NaN NaN NaN NaN NaN NaN 23.668 1.124 1950 6 NaN NaN NaN NaN NaN NaN 26.300 -0.001 1950 7 NaN NaN NaN NaN NaN NaN 26.349 -1.475 1950 8 NaN NaN NaN NaN NaN NaN 25.859 -1.407 1950 9 NaN NaN NaN NaN NaN NaN 23.330 -1.020 1950 10 NaN NaN NaN NaN NaN NaN 19.819 1.716 1950 11 NaN NaN NaN NaN NaN NaN 10.717 -1.699 1950 12 NaN NaN NaN NaN NaN NaN 5.999 -2.316 1951 1 NaN NaN NaN NaN NaN NaN 8.017 1.308 1951 2 NaN NaN NaN NaN NaN NaN 8.918 0.087 1951 3 NaN NaN NaN NaN NaN NaN 13.747 0.645