% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 14017 % Primary Name: ILE ROYALE % Record Type: TAVG % Country: French Guiana [France] % Latitude: 5.27000 +/- 0.00500 % Longitude: -54.53000 +/- 0.00500 % Elevation (m): 40.00 +/- 0.50 % # of Months: 31 % % IDs: ca - 315000000003 % % Sources: Colonial Archive % % Site Hash: 6a2efa377490f2fd0ea2ed86f6e903d7 % Raw Data Hash: 302810bc0719b68794ffd5591b2cdb04 % Adj Data Hash: a008c4eee28f163b4b2fea625e4c60be % % 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 1900 1 NaN NaN NaN NaN NaN NaN 25.735 -0.097 1900 2 NaN NaN NaN NaN NaN NaN 25.848 -0.223 1900 3 NaN NaN NaN NaN NaN NaN 26.051 -0.400 1900 4 NaN NaN NaN NaN NaN NaN 25.965 -0.526 1900 5 NaN NaN NaN NaN NaN NaN 25.711 -0.718 1900 6 NaN NaN NaN NaN NaN NaN 26.127 -0.132 1900 7 NaN NaN NaN NaN NaN NaN 26.165 -0.370 1900 8 NaN NaN NaN NaN NaN NaN 26.396 -0.796 1900 9 NaN NaN NaN NaN NaN NaN 27.749 0.095 1900 10 NaN NaN NaN NaN NaN NaN 27.559 0.017 1900 11 NaN NaN NaN NaN NaN NaN 26.906 -0.283 1900 12 NaN NaN NaN NaN NaN NaN 25.625 -0.548 1901 1 27.300 1.912 0 0 27.300 1.912 26.171 0.340 1901 2 26.850 1.222 0 0 26.850 1.222 26.430 0.360 1901 3 27.200 1.192 0 0 27.200 1.192 26.324 -0.127 1901 4 27.200 1.151 0 0 27.200 1.151 26.529 0.037 1901 5 25.950 -0.036 0 0 25.950 -0.036 26.333 -0.096 1901 6 26.150 0.334 0 0 26.150 0.334 26.371 0.112 1901 7 27.400 1.309 0 0 27.400 1.309 26.923 0.388 1901 8 26.350 -0.399 0 0 26.350 -0.399 26.992 -0.200 1901 9 26.850 -0.361 0 0 26.850 -0.361 27.509 -0.145 1901 10 27.350 0.251 0 0 27.350 0.251 27.551 0.009 1901 11 26.150 -0.596 0 0 26.150 -0.596 26.895 -0.294 1901 12 25.650 -0.081 0 0 25.650 -0.081 25.845 -0.329 1902 1 24.950 -0.438 0 0 24.950 -0.438 25.385 -0.446 1902 2 24.950 -0.678 0 0 24.950 -0.678 25.625 -0.446 1902 3 26.800 0.792 0 0 26.800 0.792 26.220 -0.231 1902 4 24.900 -1.149 0 0 24.900 -1.149 25.813 -0.678 1902 5 25.750 -0.236 0 0 25.750 -0.236 26.394 -0.035 1902 6 24.950 -0.866 0 0 24.950 -0.866 25.837 -0.422 1902 7 26.300 0.209 0 0 26.300 0.209 26.094 -0.440 1902 8 25.550 -1.199 0 0 25.550 -1.199 26.497 -0.695 1902 9 26.300 -0.911 0 0 26.300 -0.911 27.219 -0.435 1902 10 25.550 -1.549 0 0 25.550 -1.549 26.955 -0.587 1902 11 24.950 -1.796 0 0 24.950 -1.796 26.279 -0.910 1902 12 24.550 -1.181 0 0 24.550 -1.181 25.646 -0.528 1903 1 24.950 -0.438 0 0 24.950 -0.438 25.478 -0.353 1903 2 25.050 -0.578 0 0 25.050 -0.578 25.683 -0.388 1903 3 24.550 -1.458 0 0 24.550 -1.458 25.493 -0.958 1903 4 24.500 -1.549 0 0 24.500 -1.549 25.480 -1.012 1903 5 24.450 -1.536 0 0 24.450 -1.536 25.442 -0.986 1903 6 24.650 -1.166 0 0 24.650 -1.166 25.595 -0.664 1903 7 25.350 -0.741 0 0 25.350 -0.741 26.122 -0.412 1903 8 NaN NaN NaN NaN NaN NaN 26.938 -0.254 1903 9 NaN NaN NaN NaN NaN NaN 27.182 -0.472 1903 10 NaN NaN NaN NaN NaN NaN 27.693 0.151 1903 11 NaN NaN NaN NaN NaN NaN 26.996 -0.193 1903 12 NaN NaN NaN NaN NaN NaN 25.551 -0.623 1904 1 NaN NaN NaN NaN NaN NaN 24.835 -0.996 1904 2 NaN NaN NaN NaN NaN NaN 24.948 -1.122 1904 3 NaN NaN NaN NaN NaN NaN 24.849 -1.602 1904 4 NaN NaN NaN NaN NaN NaN 25.340 -1.152 1904 5 NaN NaN NaN NaN NaN NaN 25.443 -0.986 1904 6 NaN NaN NaN NaN NaN NaN 25.213 -1.046 1904 7 NaN NaN NaN NaN NaN NaN 25.809 -0.725