% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 160844 % Primary Name: VICKSBURG CAA AP % Record Type: TAVG % Country: United States % State: MS % Latitude: 32.40000 +/- 0.00005 % Longitude: -90.78330 +/- 0.00005 % Elevation (m): 36.90 +/- 0.05 % # of Months: 103 % % Alternate Names: VICKSBURG OLD % % IDs: coop - 229224 % ghcnd - USW00013979 % gsod - 999999-13979 % ncdc - 20011279 % wban - 13979 % % Sources: US First Order Summary of the Day % US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Global Summary of the Day % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 552c0435c4ca8595234540ff62c0d988 % Raw Data Hash: 64fc0154dd73b6308c8239e899368400 % Adj Data Hash: 64fc0154dd73b6308c8239e899368400 % % 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 1941 1 NaN NaN NaN NaN NaN NaN 8.325 1.615 1941 2 NaN NaN NaN NaN NaN NaN 6.436 -2.395 1941 3 NaN NaN NaN NaN NaN NaN 9.981 -3.121 1941 4 NaN NaN NaN NaN NaN NaN 19.088 0.899 1941 5 NaN NaN NaN NaN NaN NaN 22.863 0.319 1941 6 NaN NaN NaN NaN NaN NaN 26.409 0.108 1941 7 NaN NaN NaN NaN NaN NaN 27.667 -0.157 1941 8 NaN NaN NaN NaN NaN NaN 27.744 0.478 1941 9 NaN NaN NaN NaN NaN NaN 25.949 1.599 1941 10 NaN NaN NaN NaN NaN NaN 21.999 3.896 1941 11 NaN NaN NaN NaN NaN NaN 11.212 -1.204 1941 12 NaN NaN NaN NaN NaN NaN 9.670 1.356 1942 1 5.111 -1.026 0 0 5.111 -1.026 5.183 -1.526 1942 2 6.889 -1.370 0 0 6.889 -1.370 6.752 -2.079 1942 3 12.222 -0.307 0 0 12.222 -0.307 12.902 -0.199 1942 4 17.333 -0.284 0 0 17.333 -0.284 18.670 0.481 1942 5 20.278 -1.695 0 0 20.278 -1.695 21.687 -0.858 1942 6 25.667 -0.062 0 0 25.667 -0.062 26.709 0.408 1942 7 27.000 -0.252 0 0 27.000 -0.252 27.969 0.145 1942 8 26.500 -0.195 0 0 26.500 -0.195 26.998 -0.269 1942 9 22.333 -1.445 0 0 22.333 -1.445 23.452 -0.899 1942 10 17.667 0.136 0 0 17.667 0.136 18.936 0.833 1942 11 13.944 2.101 0 0 13.944 2.101 14.957 2.541 1942 12 8.944 1.202 0 0 8.944 1.202 8.986 0.671 1943 1 8.111 1.974 0 0 8.111 1.974 7.508 0.798 1943 2 10.111 1.852 0 0 10.111 1.852 10.176 1.345 1943 3 11.667 -0.863 0 0 11.667 -0.863 11.337 -1.765 1943 4 17.444 -0.173 0 0 17.444 -0.173 18.840 0.650 1943 5 23.444 1.472 0 0 23.444 1.472 24.200 1.655 1943 6 27.333 1.605 0 0 27.333 1.605 28.455 2.154 1943 7 27.667 0.415 0 0 27.667 0.415 28.709 0.885 1943 8 28.222 1.527 0 0 28.222 1.527 29.111 1.845 1943 9 22.556 -1.223 0 0 22.556 -1.223 23.306 -1.044 1943 10 16.111 -1.420 0 0 16.111 -1.420 17.007 -1.096 1943 11 9.667 -2.177 0 0 9.667 -2.177 10.947 -1.468 1943 12 7.833 0.091 0 0 7.833 0.091 8.011 -0.304 1944 1 7.111 0.974 0 0 7.111 0.974 6.937 0.227 1944 2 12.111 3.852 0 0 12.111 3.852 11.606 2.776 1944 3 12.833 0.304 0 0 12.833 0.304 13.594 0.493 1944 4 16.667 -0.950 0 0 16.667 -0.950 17.744 -0.445 1944 5 21.333 -0.639 0 0 21.333 -0.639 22.558 0.013 1944 6 26.222 0.494 0 0 26.222 0.494 27.974 1.674 1944 7 27.333 0.081 0 0 27.333 0.081 28.267 0.443 1944 8 27.111 0.416 0 0 27.111 0.416 27.661 0.394 1944 9 24.444 0.666 0 0 24.444 0.666 25.139 0.788 1944 10 16.778 -0.753 0 0 16.778 -0.753 18.034 -0.069 1944 11 12.000 0.157 0 0 12.000 0.157 12.991 0.576 1944 12 6.556 -1.187 0 0 6.556 -1.187 6.372 -1.942 1945 1 6.722 0.585 0 0 6.722 0.585 6.667 -0.043 1945 2 10.667 2.408 0 0 10.667 2.408 10.076 1.245 1945 3 16.444 3.915 0 0 16.444 3.915 17.121 4.019 1945 4 17.556 -0.062 0 0 17.556 -0.062 18.837 0.647 1945 5 19.333 -2.639 0 0 19.333 -2.639 20.644 -1.900 1945 6 25.167 -0.562 0 0 25.167 -0.562 26.297 -0.004 1945 7 26.111 -1.141 0 0 26.111 -1.141 26.831 -0.993 1945 8 26.000 -0.695 0 0 26.000 -0.695 26.759 -0.508 1945 9 24.444 0.666 0 0 24.444 0.666 25.630 1.280 1945 10 16.444 -1.087 0 0 16.444 -1.087 17.250 -0.853 1945 11 13.500 1.657 0 0 13.500 1.657 14.442 2.027 1945 12 5.389 -2.354 0 0 5.389 -2.354 5.784 -2.531 1946 1 7.444 1.307 0 0 7.444 1.307 7.038 0.328 1946 2 9.556 1.297 0 0 9.556 1.297 10.209 1.378 1946 3 14.889 2.359 0 0 14.889 2.359 15.581 2.480 1946 4 18.333 0.716 0 0 18.333 0.716 19.916 1.727 1946 5 20.778 -1.195 0 0 20.778 -1.195 21.322 -1.222 1946 6 24.556 -1.173 0 0 24.556 -1.173 25.731 -0.570 1946 7 26.556 -0.696 0 0 26.556 -0.696 27.010 -0.815 1946 8 25.444 -1.250 0 0 25.444 -1.250 26.368 -0.899 1946 9 22.778 -1.001 0 0 22.778 -1.001 24.006 -0.345 1946 10 17.222 -0.309 0 0 17.222 -0.309 18.620 0.517 1946 11 14.611 2.768 0 0 14.611 2.768 14.920 2.505 1946 12 10.333 2.591 0 0 10.333 2.591 10.901 2.587 1947 1 8.111 1.974 0 0 8.111 1.974 7.676 0.966 1947 2 NaN NaN NaN NaN NaN NaN 4.609 -4.222 1947 3 9.222 -3.307 0 0 9.222 -3.307 9.372 -3.729 1947 4 NaN NaN NaN NaN NaN NaN 18.353 0.164 1947 5 20.222 -1.750 0 0 20.222 -1.750 21.292 -1.253 1947 6 25.500 -0.229 0 0 25.500 -0.229 26.523 0.222 1947 7 25.111 -2.141 0 0 25.111 -2.141 26.245 -1.579 1947 8 27.778 1.083 0 0 27.778 1.083 28.721 1.454 1947 9 24.500 0.721 0 0 24.500 0.721 25.814 1.463 1947 10 20.278 2.747 0 0 20.278 2.747 21.351 3.248 1947 11 11.056 -0.788 0 0 11.056 -0.788 11.355 -1.061 1947 12 9.000 1.257 0 0 9.000 1.257 9.209 0.895 1948 1 3.222 -2.915 0 0 3.222 -2.915 2.536 -4.173 1948 2 9.278 1.019 0 0 9.278 1.019 7.887 -0.944 1948 3 14.278 1.748 0 0 14.278 1.748 13.918 0.817 1948 4 19.000 1.383 0 0 19.000 1.383 20.291 2.102 1948 5 21.778 -0.195 0 0 21.778 -0.195 22.591 0.047 1948 6 26.333 0.605 0 0 26.333 0.605 27.495 1.195 1948 7 28.444 1.192 0 0 28.444 1.192 28.738 0.914 1948 8 26.500 -0.195 0 0 26.500 -0.195 26.784 -0.483 1948 9 22.111 -1.667 0 0 22.111 -1.667 23.632 -0.719 1948 10 15.944 -1.587 0 0 15.944 -1.587 17.046 -1.057 1948 11 13.056 1.212 0 0 13.056 1.212 13.197 0.782 1948 12 10.611 2.869 0 0 10.611 2.869 10.419 2.104 1949 1 11.000 4.863 0 0 11.000 4.863 9.989 3.279 1949 2 11.056 2.797 0 0 11.056 2.797 10.359 1.528 1949 3 12.778 0.248 0 0 12.778 0.248 12.815 -0.286 1949 4 16.667 -0.950 0 0 16.667 -0.950 17.386 -0.803 1949 5 22.333 0.361 0 0 22.333 0.361 23.475 0.931 1949 6 25.778 0.049 0 0 25.778 0.049 26.880 0.579 1949 7 27.167 -0.085 0 0 27.167 -0.085 27.887 0.063 1949 8 26.500 -0.195 0 0 26.500 -0.195 26.692 -0.575 1949 9 23.167 -0.612 0 0 23.167 -0.612 23.705 -0.645 1949 10 19.944 2.413 0 0 19.944 2.413 19.720 1.617 1949 11 11.944 0.101 0 0 11.944 0.101 13.016 0.601 1949 12 10.111 2.369 0 0 10.111 2.369 10.410 2.096 1950 1 14.722 8.585 0 0 14.722 8.585 13.243 6.534 1950 2 11.722 3.463 0 0 11.722 3.463 11.356 2.525 1950 3 11.278 -1.252 0 0 11.278 -1.252 12.081 -1.020 1950 4 15.111 -2.506 0 0 15.111 -2.506 16.275 -1.914 1950 5 23.111 1.139 0 0 23.111 1.139 23.668 1.124 1950 6 25.500 -0.229 0 0 25.500 -0.229 26.300 -0.001 1950 7 26.333 -0.919 0 0 26.333 -0.919 26.349 -1.475 1950 8 25.889 -0.806 0 0 25.889 -0.806 25.859 -1.407 1950 9 23.333 -0.445 0 0 23.333 -0.445 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 1951 4 NaN NaN NaN NaN NaN NaN 16.619 -1.570 1951 5 NaN NaN NaN NaN NaN NaN 22.548 0.003 1951 6 NaN NaN NaN NaN NaN NaN 26.837 0.536 1951 7 NaN NaN NaN NaN NaN NaN 28.184 0.360 1951 8 NaN NaN NaN NaN NaN NaN 29.005 1.738 1951 9 NaN NaN NaN NaN NaN NaN 25.191 0.840