% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 29794 % Primary Name: RIVERTON % Record Type: TAVG % Country: United States % State: AL % Latitude: 34.85833 +/- 0.03333 % Longitude: -88.33333 +/- 0.00833 % Elevation (m): 110.00 +/- 0.05 % # of Months: 29 % % IDs: coop - 16956 % ncdc - 20000349 % % Sources: US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 2aaaadb8356948064ab0c62d757bda8c % Raw Data Hash: c8250928a615fc04cd1f4ef724d83419 % Adj Data Hash: adbb9d52153699bb5c64db2e9c056758 % % 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 1934 1 NaN NaN NaN NaN NaN NaN 6.534 2.408 1934 2 NaN NaN NaN NaN NaN NaN 3.545 -2.583 1934 3 NaN NaN NaN NaN NaN NaN 9.245 -1.284 1934 4 NaN NaN NaN NaN NaN NaN 16.262 0.214 1934 5 NaN NaN NaN NaN NaN NaN 20.593 0.224 1934 6 NaN NaN NaN NaN NaN NaN 25.606 1.239 1934 7 NaN NaN NaN NaN NaN NaN 27.334 1.135 1934 8 NaN NaN NaN NaN NaN NaN 26.830 1.104 1934 9 NaN NaN NaN NaN NaN NaN 22.422 -0.102 1934 10 NaN NaN NaN NaN NaN NaN 16.771 0.937 1934 11 NaN NaN NaN NaN NaN NaN 11.756 1.710 1934 12 NaN NaN NaN NaN NaN NaN 5.066 -0.785 1935 1 5.889 1.236 0 0 5.889 1.236 4.937 0.811 1935 2 7.278 0.623 0 0 7.278 0.623 6.228 0.100 1935 3 15.833 4.778 0 0 15.833 4.778 14.513 3.984 1935 4 NaN NaN NaN NaN NaN NaN 15.720 -0.328 1935 5 NaN NaN NaN NaN NaN NaN 20.069 -0.300 1935 6 23.333 -1.560 0 0 23.333 -1.560 23.028 -1.339 1935 7 NaN NaN NaN NaN NaN NaN 26.657 0.458 1935 8 NaN NaN NaN NaN NaN NaN 26.992 1.266 1935 9 22.778 -0.273 0 0 22.778 -0.273 22.625 0.101 1935 10 17.000 0.639 0 0 17.000 0.639 16.639 0.805 1935 11 12.611 2.038 0 0 12.611 2.038 10.259 0.213 1935 12 2.667 -3.711 0 0 2.667 -3.711 1.840 -4.011 1936 1 NaN NaN NaN NaN NaN NaN 2.020 -2.106 1936 2 3.833 -2.821 0 0 3.833 -2.821 2.748 -3.380 1936 3 13.222 2.167 0 0 13.222 2.167 12.596 2.067 1936 4 NaN NaN NaN NaN NaN NaN 14.194 -1.854 1936 5 22.111 1.215 0 0 22.111 1.215 21.224 0.855 1936 6 25.444 0.551 0 0 25.444 0.551 26.321 1.954 1936 7 27.778 1.052 0 0 27.778 1.052 26.955 0.756 1936 8 27.778 1.525 0 0 27.778 1.525 26.789 1.063 1936 9 25.444 2.394 0 0 25.444 2.394 25.005 2.481 1936 10 16.333 -0.027 0 0 16.333 -0.027 16.234 0.401 1936 11 9.056 -1.517 0 0 9.056 -1.517 8.716 -1.330 1936 12 7.611 1.233 0 0 7.611 1.233 7.395 1.544 1937 1 10.556 5.902 0 0 10.556 5.902 9.539 5.412 1937 2 6.389 -0.266 0 0 6.389 -0.266 5.477 -0.651 1937 3 8.667 -2.389 0 0 8.667 -2.389 8.569 -1.960 1937 4 15.944 -0.630 0 0 15.944 -0.630 15.838 -0.210 1937 5 21.167 0.271 0 0 21.167 0.271 20.677 0.307 1937 6 25.667 0.773 0 0 25.667 0.773 25.750 1.384 1937 7 25.611 -1.115 0 0 25.611 -1.115 25.336 -0.863 1937 8 27.167 0.914 0 0 27.167 0.914 26.671 0.945 1937 9 NaN NaN NaN NaN NaN NaN 21.833 -0.690 1937 10 14.556 -1.805 0 0 14.556 -1.805 14.421 -1.412 1937 11 8.833 -1.739 0 0 8.833 -1.739 8.696 -1.350 1937 12 4.889 -1.489 0 0 4.889 -1.489 5.140 -0.711 1938 1 NaN NaN NaN NaN NaN NaN 5.059 0.933 1938 2 NaN NaN NaN NaN NaN NaN 9.866 3.738 1938 3 NaN NaN NaN NaN NaN NaN 14.708 4.180 1938 4 NaN NaN NaN NaN NaN NaN 16.424 0.376 1938 5 NaN NaN NaN NaN NaN NaN 20.689 0.320 1938 6 NaN NaN NaN NaN NaN NaN 23.567 -0.799 1938 7 NaN NaN NaN NaN NaN NaN 26.166 -0.033 1938 8 NaN NaN NaN NaN NaN NaN 26.594 0.868 1938 9 NaN NaN NaN NaN NaN NaN 22.653 0.129 1938 10 NaN NaN NaN NaN NaN NaN 17.081 1.248 1938 11 NaN NaN NaN NaN NaN NaN 10.544 0.498 1938 12 NaN NaN NaN NaN NaN NaN 5.673 -0.177