% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 87 % Primary Name: TUREIA TUAMOTU IS. % Record Type: TAVG % Country: French Polynesia [France] % Latitude: -20.80000 +/- 0.05000 % Longitude: -138.60000 +/- 0.05000 % Elevation (m): 3.00 +/- 0.50 % # of Months: 31 % % IDs: wmssc - 919460 % % Sources: World Monthly Surface Station Climatology % % Site Hash: 8a67c2307571d6d94ce94a3fe83baf92 % Raw Data Hash: 52dd76b54462c8c8022b6105d147236a % Adj Data Hash: 52dd76b54462c8c8022b6105d147236a % % 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 1969 1 NaN NaN NaN NaN NaN NaN 26.623 0.166 1969 2 NaN NaN NaN NaN NaN NaN 26.897 0.033 1969 3 NaN NaN NaN NaN NaN NaN 27.574 0.727 1969 4 NaN NaN NaN NaN NaN NaN 26.773 0.578 1969 5 NaN NaN NaN NaN NaN NaN 26.231 0.858 1969 6 NaN NaN NaN NaN NaN NaN 24.731 0.417 1969 7 NaN NaN NaN NaN NaN NaN 24.017 0.302 1969 8 NaN NaN NaN NaN NaN NaN 23.058 -0.232 1969 9 NaN NaN NaN NaN NaN NaN 23.008 -0.521 1969 10 NaN NaN NaN NaN NaN NaN 23.937 -0.069 1969 11 NaN NaN NaN NaN NaN NaN 25.290 0.337 1969 12 NaN NaN NaN NaN NaN NaN 26.877 1.086 1970 1 27.300 1.066 0 0 27.300 1.066 27.374 0.917 1970 2 27.100 0.459 0 0 27.100 0.459 27.193 0.329 1970 3 26.800 0.176 0 0 26.800 0.176 27.083 0.235 1970 4 26.500 0.528 0 0 26.500 0.528 26.528 0.333 1970 5 25.200 0.050 0 0 25.200 0.050 25.555 0.181 1970 6 24.600 0.510 0 0 24.600 0.510 24.738 0.424 1970 7 23.500 0.009 0 0 23.500 0.009 23.871 0.157 1970 8 24.300 1.234 0 0 24.300 1.234 24.180 0.890 1970 9 23.600 0.294 0 0 23.600 0.294 23.840 0.311 1970 10 24.300 0.517 0 0 24.300 0.517 24.417 0.411 1970 11 25.200 0.470 0 0 25.200 0.470 25.322 0.369 1970 12 25.700 0.132 0 0 25.700 0.132 25.845 0.053 1971 1 26.000 -0.234 0 0 26.000 -0.234 26.147 -0.310 1971 2 26.100 -0.541 0 0 26.100 -0.541 26.303 -0.562 1971 3 26.200 -0.424 0 0 26.200 -0.424 26.454 -0.393 1971 4 25.100 -0.872 0 0 25.100 -0.872 25.514 -0.681 1971 5 25.200 0.050 0 0 25.200 0.050 25.449 0.075 1971 6 24.400 0.310 0 0 24.400 0.310 24.629 0.315 1971 7 23.800 0.309 0 0 23.800 0.309 24.077 0.362 1971 8 22.800 -0.266 0 0 22.800 -0.266 23.154 -0.136 1971 9 22.900 -0.406 0 0 22.900 -0.406 23.284 -0.245 1971 10 24.100 0.317 0 0 24.100 0.317 24.381 0.375 1971 11 25.200 0.470 0 0 25.200 0.470 25.424 0.470 1971 12 25.600 0.032 0 0 25.600 0.032 25.788 -0.003 1972 1 26.900 0.666 0 0 26.900 0.666 27.069 0.612 1972 2 27.100 0.459 0 0 27.100 0.459 27.356 0.491 1972 3 27.200 0.576 0 0 27.200 0.576 27.406 0.558 1972 4 26.800 0.828 0 0 26.800 0.828 26.945 0.750 1972 5 26.000 0.850 0 0 26.000 0.850 26.162 0.789 1972 6 24.300 0.210 0 0 24.300 0.210 24.691 0.377 1972 7 23.500 0.009 0 0 23.500 0.009 24.046 0.331 1972 8 NaN NaN NaN NaN NaN NaN 23.543 0.253 1972 9 NaN NaN NaN NaN NaN NaN 23.155 -0.373 1972 10 NaN NaN NaN NaN NaN NaN 23.362 -0.645 1972 11 NaN NaN NaN NaN NaN NaN 23.807 -1.147 1972 12 NaN NaN NaN NaN NaN NaN 26.022 0.231 1973 1 NaN NaN NaN NaN NaN NaN 26.561 0.104 1973 2 NaN NaN NaN NaN NaN NaN 26.841 -0.023 1973 3 NaN NaN NaN NaN NaN NaN 27.233 0.385 1973 4 NaN NaN NaN NaN NaN NaN 26.412 0.217 1973 5 NaN NaN NaN NaN NaN NaN 25.982 0.608 1973 6 NaN NaN NaN NaN NaN NaN 23.999 -0.314 1973 7 NaN NaN NaN NaN NaN NaN 23.717 0.002