% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28108 % Primary Name: MARION 7 SE % Record Type: TAVG % Country: United States % State: LA % Latitude: 32.81670 +/- 0.00005 % Longitude: -92.16670 +/- 0.00005 % Elevation (m): 46.00 +/- 0.05 % # of Months: 102 % % IDs: coop - 165908 % ghcnd - USC00165908 % ncdc - 20009099 % nws - MARL1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 1cfeacc1959716fa8a355cd4e55fb91e % Raw Data Hash: 67fce7cb57c341e4cfb9e8d53db49664 % Adj Data Hash: 9c782c2cf576157e0caaeda9cabcf99f % % 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 1985 1 NaN NaN NaN NaN NaN NaN 2.984 -3.735 1985 2 NaN NaN NaN NaN NaN NaN 6.491 -2.415 1985 3 NaN NaN NaN NaN NaN NaN 15.199 2.220 1985 4 NaN NaN NaN NaN NaN NaN 19.033 1.124 1985 5 NaN NaN NaN NaN NaN NaN 22.086 -0.019 1985 6 NaN NaN NaN NaN NaN NaN 26.579 0.630 1985 7 NaN NaN NaN NaN NaN NaN 27.602 -0.236 1985 8 NaN NaN NaN NaN NaN NaN 28.018 0.615 1985 9 NaN NaN NaN NaN NaN NaN 24.211 -0.027 1985 10 NaN NaN NaN NaN NaN NaN 19.493 1.415 1985 11 NaN NaN NaN NaN NaN NaN 15.686 3.438 1985 12 NaN NaN NaN NaN NaN NaN 5.978 -2.223 1986 1 7.333 0.987 0 0 7.253 0.907 7.552 0.834 1986 2 11.167 2.633 0 0 11.087 2.553 11.376 2.469 1986 3 14.056 1.450 0 0 13.976 1.370 14.171 1.193 1986 4 18.444 0.909 0 0 18.365 0.829 18.943 1.034 1986 5 22.056 0.324 0 0 21.976 0.244 22.438 0.334 1986 6 25.389 -0.187 0 0 25.309 -0.267 26.540 0.590 1986 7 28.389 0.924 0 0 28.309 0.844 29.053 1.215 1986 8 26.167 -0.863 0 0 26.087 -0.943 26.821 -0.582 1986 9 25.056 1.190 0 0 24.976 1.110 25.933 1.694 1986 10 18.000 0.296 0 0 17.920 0.216 18.165 0.087 1986 11 13.167 1.292 0 0 13.087 1.212 12.780 0.532 1986 12 6.944 -0.884 0 0 6.865 -0.964 7.388 -0.814 1987 1 5.556 -0.790 0 0 5.476 -0.870 5.653 -1.066 1987 2 9.833 1.300 0 0 9.753 1.220 9.682 0.775 1987 3 12.889 0.283 0 0 12.809 0.204 12.638 -0.340 1987 4 16.778 -0.758 0 0 16.698 -0.838 17.216 -0.692 1987 5 23.833 2.102 0 0 23.753 2.022 24.048 1.944 1987 6 25.667 0.090 0 0 25.587 0.011 26.346 0.397 1987 7 27.111 -0.354 0 0 27.031 -0.434 27.688 -0.150 1987 8 28.722 1.692 0 0 28.642 1.612 29.262 1.859 1987 9 24.056 0.190 0 0 23.976 0.110 24.475 0.236 1987 10 16.000 -1.704 0 0 15.920 -1.784 16.420 -1.657 1987 11 12.778 0.903 0 0 12.698 0.823 12.990 0.742 1987 12 9.000 1.172 0 0 8.920 1.092 9.402 1.201 1988 1 4.333 -2.013 0 0 4.253 -2.093 4.203 -2.516 1988 2 8.056 -0.478 0 0 7.976 -0.558 8.105 -0.802 1988 3 13.056 0.450 0 0 12.976 0.370 12.483 -0.495 1988 4 17.722 0.186 0 0 17.642 0.106 17.829 -0.079 1988 5 21.167 -0.565 0 0 21.087 -0.645 21.518 -0.586 1988 6 25.333 -0.243 0 0 25.253 -0.323 26.272 0.323 1988 7 27.222 -0.243 0 0 27.142 -0.323 27.949 0.111 1988 8 28.000 0.970 0 0 27.920 0.890 28.071 0.668 1988 9 24.778 0.912 0 0 24.698 0.832 25.083 0.844 1988 10 16.167 -1.538 0 0 16.087 -1.618 16.606 -1.471 1988 11 13.500 1.625 0 0 13.420 1.545 13.829 1.581 1988 12 8.167 0.338 0 0 8.087 0.258 8.670 0.469 1989 1 9.444 3.098 0 0 9.365 3.019 9.283 2.564 1989 2 6.611 -1.922 0 0 6.531 -2.002 6.521 -2.386 1989 3 13.222 0.617 0 0 13.142 0.537 12.955 -0.023 1989 4 17.333 -0.203 0 0 17.253 -0.282 17.803 -0.106 1989 5 21.556 -0.176 0 0 21.476 -0.256 21.997 -0.107 1989 6 24.556 -1.021 0 0 24.476 -1.101 25.044 -0.905 1989 7 26.222 -1.243 0 0 26.142 -1.323 26.683 -1.156 1989 8 26.611 -0.419 0 0 26.531 -0.499 26.839 -0.564 1989 9 23.000 -0.866 0 4 23.061 -0.805 23.086 -1.153 1989 10 17.778 0.073 0 0 17.838 0.134 18.351 0.274 1989 11 13.389 1.514 0 0 13.450 1.575 14.037 1.790 1989 12 2.889 -4.939 0 0 2.950 -4.879 3.709 -4.492 1990 1 9.222 2.876 0 0 9.283 2.937 9.590 2.871 1990 2 12.278 3.744 0 0 12.338 3.805 12.175 3.268 1990 3 13.889 1.283 0 0 13.950 1.344 13.988 1.010 1990 4 17.278 -0.258 0 0 17.338 -0.197 17.647 -0.262 1990 5 21.000 -0.732 0 0 21.061 -0.671 21.434 -0.670 1990 6 26.556 0.979 0 0 26.616 1.040 27.503 1.553 1990 7 27.111 -0.354 0 0 27.172 -0.293 27.596 -0.242 1990 8 27.278 0.248 0 0 27.338 0.308 27.758 0.355 1990 9 25.500 1.634 0 0 25.561 1.695 26.067 1.828 1990 10 16.556 -1.149 0 0 16.616 -1.088 17.161 -0.917 1990 11 13.778 1.903 0 0 13.838 1.964 14.502 2.255 1990 12 8.389 0.561 0 0 8.450 0.621 8.677 0.475 1991 1 5.556 -0.790 0 0 5.616 -0.730 5.427 -1.292 1991 2 9.389 0.855 0 0 9.450 0.916 9.850 0.943 1991 3 13.722 1.117 0 0 13.783 1.177 14.082 1.104 1991 4 18.778 1.242 0 0 18.838 1.303 19.284 1.375 1991 5 23.222 1.491 0 0 23.283 1.551 23.528 1.424 1991 6 26.167 0.590 0 0 26.227 0.651 26.895 0.946 1991 7 27.556 0.090 0 0 27.616 0.151 27.986 0.148 1991 8 26.611 -0.419 0 0 26.672 -0.358 26.897 -0.506 1991 9 23.389 -0.477 0 0 23.450 -0.416 23.924 -0.315 1991 10 18.833 1.129 0 0 18.894 1.189 19.263 1.185 1991 11 10.278 -1.597 0 0 10.338 -1.536 10.613 -1.635 1991 12 10.056 2.227 0 0 10.116 2.288 10.242 2.040 1992 1 7.000 0.654 0 0 7.061 0.715 6.855 0.136 1992 2 11.222 2.689 0 0 11.283 2.749 11.173 2.267 1992 3 13.944 1.339 0 0 14.005 1.400 13.861 0.883 1992 4 16.944 -0.591 0 0 17.005 -0.531 17.447 -0.462 1992 5 20.722 -1.009 0 0 20.783 -0.949 20.983 -1.122 1992 6 24.333 -1.243 0 0 24.394 -1.182 25.201 -0.748 1992 7 27.167 -0.299 0 0 27.227 -0.238 27.762 -0.076 1992 8 24.667 -2.363 0 0 24.727 -2.303 25.195 -2.208 1992 9 23.333 -0.532 0 0 23.394 -0.472 23.901 -0.337 1992 10 17.889 0.184 0 0 17.950 0.245 18.331 0.254 1992 11 10.333 -1.541 0 0 10.394 -1.481 10.991 -1.257 1992 12 8.056 0.227 0 0 8.116 0.288 8.740 0.539 1993 1 6.778 0.432 0 0 6.838 0.492 6.603 -0.116 1993 2 7.944 -0.589 0 0 8.005 -0.528 8.201 -0.705 1993 3 11.278 -1.328 0 0 11.338 -1.267 11.664 -1.315 1993 4 14.944 -2.591 0 0 15.005 -2.531 15.474 -2.435 1993 5 20.833 -0.898 0 0 20.894 -0.838 21.031 -1.073 1993 6 25.944 0.368 0 0 26.005 0.429 26.559 0.610 1993 7 28.500 1.035 0 0 28.561 1.095 29.089 1.251 1993 8 28.278 1.248 0 0 28.338 1.308 28.835 1.432 1993 9 24.056 0.190 0 0 24.116 0.250 24.549 0.311 1993 10 16.889 -0.816 0 0 16.950 -0.755 17.121 -0.957 1993 11 9.722 -2.153 0 0 9.783 -2.092 10.308 -1.940 1993 12 7.778 -0.051 0 0 7.838 0.010 8.771 0.569 1994 1 5.111 -1.235 0 0 5.172 -1.174 5.637 -1.082 1994 2 8.722 0.189 0 0 8.783 0.249 8.791 -0.115 1994 3 12.833 0.228 0 0 12.894 0.289 13.210 0.231 1994 4 18.167 0.631 0 0 18.227 0.691 18.897 0.989 1994 5 20.000 -1.732 0 0 20.061 -1.671 20.873 -1.232 1994 6 27.056 1.479 0 0 27.116 1.540 27.321 1.371 1994 7 NaN NaN NaN NaN NaN NaN 27.282 -0.556 1994 8 NaN NaN NaN NaN NaN NaN 26.302 -1.101 1994 9 NaN NaN NaN NaN NaN NaN 23.833 -0.406 1994 10 NaN NaN NaN NaN NaN NaN 18.488 0.410 1994 11 NaN NaN NaN NaN NaN NaN 14.871 2.624 1994 12 NaN NaN NaN NaN NaN NaN 9.558 1.357 1995 1 NaN NaN NaN NaN NaN NaN 7.767 1.048 1995 2 NaN NaN NaN NaN NaN NaN 9.487 0.581 1995 3 NaN NaN NaN NaN NaN NaN 14.307 1.329 1995 4 NaN NaN NaN NaN NaN NaN 17.575 -0.334 1995 5 NaN NaN NaN NaN NaN NaN 22.433 0.329 1995 6 NaN NaN NaN NaN NaN NaN 25.682 -0.267