% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 28866 % Primary Name: BIG CREEK % Record Type: TAVG % Country: United States % State: MS % Latitude: 33.85000 +/- 0.00005 % Longitude: -89.41670 +/- 0.00005 % Elevation (m): 93.76 +/- 39.89 % # of Months: 27 % % Alternate Names: Missing Station ID - 220730 % % IDs: coop - 220730 % ghcnd - USC00220730 % ncdc - 12002821 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 0b024fdbec986cde11fbac9bd84483cf % Raw Data Hash: 772fefac20a636ef1a0f3bb30bdae617 % Adj Data Hash: a5056333392031d8a3bc1457d529051c % % 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 1909 9 NaN NaN NaN NaN NaN NaN 23.191 0.097 1909 10 NaN NaN NaN NaN NaN NaN 16.131 -0.452 1909 11 NaN NaN NaN NaN NaN NaN 15.459 4.774 1909 12 NaN NaN NaN NaN NaN NaN 2.314 -3.982 1910 1 NaN NaN NaN NaN NaN NaN 4.992 0.543 1910 2 NaN NaN NaN NaN NaN NaN 3.537 -3.062 1910 3 NaN NaN NaN NaN NaN NaN 15.391 4.367 1910 4 NaN NaN NaN NaN NaN NaN 15.666 -0.980 1910 5 NaN NaN NaN NaN NaN NaN 18.774 -2.288 1910 6 NaN NaN NaN NaN NaN NaN 23.345 -1.751 1910 7 NaN NaN NaN NaN NaN NaN 25.732 -1.212 1910 8 NaN NaN NaN NaN NaN NaN 25.807 -0.516 1910 9 24.191 0.199 1 0 NaN NaN 25.138 2.044 1910 10 17.342 -0.140 0 0 17.342 -0.140 17.274 0.691 1910 11 10.392 -1.191 0 0 10.392 -1.191 9.788 -0.897 1910 12 5.641 -1.554 1 0 NaN NaN 4.412 -1.885 1911 1 9.942 4.594 0 0 9.942 4.594 7.513 3.064 1911 2 11.841 4.344 0 0 11.841 4.344 9.776 3.177 1911 3 14.303 2.381 0 0 14.303 2.381 12.728 1.704 1911 4 17.137 -0.408 0 0 17.137 -0.408 15.938 -0.708 1911 5 22.116 0.156 0 0 22.116 0.156 21.936 0.874 1911 6 26.488 0.494 0 0 26.488 0.494 26.752 1.656 1911 7 25.502 -2.340 0 0 25.502 -2.340 25.299 -1.645 1911 8 NaN NaN NaN NaN NaN NaN 25.275 -1.049 1911 9 NaN NaN NaN NaN NaN NaN 26.690 3.596 1911 10 19.810 2.328 1 0 NaN NaN 17.670 1.086 1911 11 10.442 -1.141 0 0 10.442 -1.141 8.424 -2.261 1911 12 8.522 1.327 0 0 8.522 1.327 7.535 1.239 1912 1 3.725 -1.623 0 0 3.725 -1.623 1.317 -3.133 1912 2 NaN NaN NaN NaN NaN NaN 3.114 -3.486 1912 3 9.500 -2.422 0 0 9.500 -2.422 8.092 -2.931 1912 4 17.699 0.154 0 0 17.699 0.154 17.150 0.503 1912 5 21.377 -0.583 0 0 21.377 -0.583 20.843 -0.219 1912 6 NaN NaN NaN NaN NaN NaN 23.151 -1.945 1912 7 26.727 -1.114 0 0 26.727 -1.114 26.647 -0.297 1912 8 NaN NaN NaN NaN NaN NaN 25.616 -0.708 1912 9 NaN NaN NaN NaN NaN NaN 23.948 0.854 1912 10 NaN NaN NaN NaN NaN NaN 17.388 0.805 1912 11 9.361 -2.222 0 0 9.361 -2.222 9.510 -1.175 1912 12 NaN NaN NaN NaN NaN NaN 5.804 -0.492 1913 1 10.711 5.363 1 0 NaN NaN 7.734 3.285 1913 2 6.204 -1.294 1 0 NaN NaN 5.286 -1.313 1913 3 NaN NaN NaN NaN NaN NaN 10.238 -0.786 1913 4 17.248 -0.297 0 0 17.248 -0.297 15.934 -0.713 1913 5 21.267 -0.693 0 0 21.267 -0.693 20.417 -0.645 1913 6 25.405 -0.589 0 0 25.405 -0.589 25.509 0.413 1913 7 27.861 0.019 0 0 27.861 0.019 26.957 0.013 1913 8 27.858 0.637 1 0 NaN NaN 26.796 0.473 1913 9 NaN NaN NaN NaN NaN NaN 22.870 -0.223 1913 10 NaN NaN NaN NaN NaN NaN 15.017 -1.567 1913 11 NaN NaN NaN NaN NaN NaN 13.461 2.776 1913 12 NaN NaN NaN NaN NaN NaN 7.043 0.746 1914 1 NaN NaN NaN NaN NaN NaN 7.116 2.666 1914 2 NaN NaN NaN NaN NaN NaN 4.773 -1.827 1914 3 NaN NaN NaN NaN NaN NaN 8.920 -2.104 1914 4 NaN NaN NaN NaN NaN NaN 16.243 -0.403 1914 5 NaN NaN NaN NaN NaN NaN 20.571 -0.491 1914 6 NaN NaN NaN NaN NaN NaN 28.487 3.391 1914 7 NaN NaN NaN NaN NaN NaN 28.094 1.150 1914 8 NaN NaN NaN NaN NaN NaN 25.727 -0.596