% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25579 % Primary Name: KULA WAIAKOA % Record Type: TAVG % Country: United States % State: HI % Latitude: 20.76670 +/- 0.00005 % Longitude: -156.33330 +/- 0.00005 % Elevation (m): 892.44 +/- 461.00 % # of Months: 14 % % Alternate Names: Missing Station ID - 515009 % % IDs: coop - 515009 % ghcnd - USC00515009 % ncdc - 30015335 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: 352e8d3d39a7317d42afb8c1026e6267 % Raw Data Hash: 7850061f36c955b71fd0773f9ce231ad % Adj Data Hash: 4d4cfc98380dd8f1858f89a8640ee2ad % % 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 1904 2 NaN NaN NaN NaN NaN NaN 20.810 -0.750 1904 3 NaN NaN NaN NaN NaN NaN 21.140 -0.441 1904 4 NaN NaN NaN NaN NaN NaN 21.458 -0.395 1904 5 NaN NaN NaN NaN NaN NaN 22.342 -0.472 1904 6 NaN NaN NaN NaN NaN NaN 23.441 -0.250 1904 7 NaN NaN NaN NaN NaN NaN 23.988 -0.287 1904 8 NaN NaN NaN NaN NaN NaN 24.355 -0.404 1904 9 NaN NaN NaN NaN NaN NaN 24.656 -0.257 1904 10 NaN NaN NaN NaN NaN NaN 24.406 -0.270 1904 11 NaN NaN NaN NaN NaN NaN 23.253 -0.886 1904 12 NaN NaN NaN NaN NaN NaN 22.387 -0.520 1905 1 NaN NaN NaN NaN NaN NaN 20.486 -1.547 1905 2 17.034 -1.758 1 0 NaN NaN 20.883 -0.677 1905 3 18.331 -0.482 0 0 18.331 -0.482 21.274 -0.307 1905 4 NaN NaN NaN NaN NaN NaN 21.681 -0.172 1905 5 NaN NaN NaN NaN NaN NaN 22.794 -0.020 1905 6 NaN NaN NaN NaN NaN NaN 23.457 -0.234 1905 7 NaN NaN NaN NaN NaN NaN 24.161 -0.113 1905 8 NaN NaN NaN NaN NaN NaN 24.847 0.088 1905 9 NaN NaN NaN NaN NaN NaN 24.748 -0.165 1905 10 NaN NaN NaN NaN NaN NaN 24.331 -0.346 1905 11 NaN NaN NaN NaN NaN NaN 24.084 -0.055 1905 12 NaN NaN NaN NaN NaN NaN 22.441 -0.466 1906 1 NaN NaN NaN NaN NaN NaN 21.847 -0.186 1906 2 NaN NaN NaN NaN NaN NaN 21.477 -0.084 1906 3 NaN NaN NaN NaN NaN NaN 20.773 -0.808 1906 4 20.032 0.947 0 2 20.032 0.947 22.097 0.244 1906 5 NaN NaN NaN NaN NaN NaN 22.836 0.023 1906 6 NaN NaN NaN NaN NaN NaN 24.130 0.439 1906 7 NaN NaN NaN NaN NaN NaN 24.331 0.057 1906 8 22.668 0.677 0 0 22.668 0.677 24.800 0.040 1906 9 NaN NaN NaN NaN NaN NaN 25.061 0.148 1906 10 22.439 0.531 0 0 22.439 0.531 25.024 0.347 1906 11 20.493 -0.877 0 0 20.493 -0.877 24.146 0.008 1906 12 18.908 -1.231 1 0 NaN NaN 22.645 -0.262 1907 1 19.205 -0.060 0 0 19.205 -0.060 22.458 0.424 1907 2 18.112 -0.680 0 0 18.112 -0.680 21.607 0.046 1907 3 17.665 -1.148 0 0 17.665 -1.148 20.814 -0.767 1907 4 18.493 -0.593 0 0 18.493 -0.593 20.922 -0.932 1907 5 20.484 0.439 0 0 20.484 0.439 23.034 0.221 1907 6 21.443 0.520 0 0 21.443 0.520 23.913 0.222 1907 7 21.756 0.250 0 0 21.756 0.250 24.252 -0.023 1907 8 NaN NaN NaN NaN NaN NaN 24.484 -0.275 1907 9 NaN NaN NaN NaN NaN NaN 24.954 0.041 1907 10 NaN NaN NaN NaN NaN NaN 24.160 -0.517 1907 11 NaN NaN NaN NaN NaN NaN 23.679 -0.460 1907 12 NaN NaN NaN NaN NaN NaN 23.069 0.162 1908 1 NaN NaN NaN NaN NaN NaN 21.497 -0.537 1908 2 NaN NaN NaN NaN NaN NaN 21.328 -0.233 1908 3 NaN NaN NaN NaN NaN NaN 21.899 0.318 1908 4 NaN NaN NaN NaN NaN NaN 21.410 -0.443 1908 5 NaN NaN NaN NaN NaN NaN 22.536 -0.278 1908 6 NaN NaN NaN NaN NaN NaN 22.779 -0.912 1908 7 NaN NaN NaN NaN NaN NaN 23.329 -0.946