% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25697 % Primary Name: WAHIAWA 872 % Record Type: TAVG % Country: United States % State: HI % Latitude: 21.50000 +/- 0.00005 % Longitude: -158.03330 +/- 0.00005 % Elevation (m): 281.00 +/- 0.05 % # of Months: 98 % % IDs: coop - 518905 % ghcnd - USC00518905 % ncdc - 20023627 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 97ddc22468021913a89813a12869c7c6 % Raw Data Hash: 201600879f00be55945f568b65a228ab % Adj Data Hash: f52521f1bb392ab3dc067973995af76d % % 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 8 NaN NaN NaN NaN NaN NaN 24.332 -1.098 1909 9 NaN NaN NaN NaN NaN NaN 24.543 -0.901 1909 10 NaN NaN NaN NaN NaN NaN 23.888 -0.842 1909 11 NaN NaN NaN NaN NaN NaN 23.221 -0.542 1909 12 NaN NaN NaN NaN NaN NaN 21.828 -0.507 1910 1 NaN NaN NaN NaN NaN NaN 20.706 -0.905 1910 2 NaN NaN NaN NaN NaN NaN 20.591 -0.891 1910 3 NaN NaN NaN NaN NaN NaN 21.701 -0.162 1910 4 NaN NaN NaN NaN NaN NaN 21.787 -0.590 1910 5 NaN NaN NaN NaN NaN NaN 22.405 -1.101 1910 6 NaN NaN NaN NaN NaN NaN 23.231 -1.250 1910 7 NaN NaN NaN NaN NaN NaN 24.108 -0.910 1910 8 24.135 -1.024 0 0 24.135 -1.024 24.537 -0.893 1910 9 24.766 -0.408 0 0 24.766 -0.408 24.875 -0.569 1910 10 NaN NaN NaN NaN NaN NaN 23.856 -0.874 1910 11 NaN NaN NaN NaN NaN NaN 23.355 -0.408 1910 12 20.987 -1.079 0 0 20.987 -1.079 21.306 -1.029 1911 1 20.057 -1.285 0 0 20.057 -1.285 20.706 -0.905 1911 2 20.076 -1.136 0 0 20.076 -1.136 20.595 -0.887 1911 3 20.634 -0.959 0 0 20.634 -0.959 21.417 -0.446 1911 4 21.838 -0.269 0 0 21.838 -0.269 22.285 -0.092 1911 5 22.476 -0.761 0 0 22.476 -0.761 22.959 -0.548 1911 6 23.514 -0.697 0 0 23.514 -0.697 23.657 -0.823 1911 7 24.116 -0.632 0 0 24.116 -0.632 24.251 -0.767 1911 8 25.208 0.048 0 0 25.208 0.048 25.266 -0.163 1911 9 24.740 -0.434 0 0 24.740 -0.434 24.830 -0.614 1911 10 23.902 -0.558 0 0 23.902 -0.558 23.696 -1.034 1911 11 23.363 -0.130 0 0 23.363 -0.130 23.281 -0.482 1911 12 22.322 0.257 1 0 NaN NaN 21.976 -0.360 1912 1 21.076 -0.265 0 0 21.076 -0.265 21.522 -0.089 1912 2 20.917 -0.295 1 0 NaN NaN 20.981 -0.501 1912 3 21.031 -0.561 0 0 21.031 -0.561 20.698 -1.165 1912 4 23.201 1.094 0 0 23.201 1.094 22.103 -0.275 1912 5 24.112 0.875 0 0 24.112 0.875 23.259 -0.248 1912 6 24.385 0.175 0 0 24.385 0.175 23.979 -0.502 1912 7 25.201 0.453 0 0 25.201 0.453 24.685 -0.333 1912 8 25.042 -0.118 0 0 25.042 -0.118 25.299 -0.130 1912 9 24.884 -0.289 0 0 24.884 -0.289 25.269 -0.174 1912 10 24.680 0.219 0 0 24.680 0.219 24.835 0.105 1912 11 NaN NaN NaN NaN NaN NaN 23.213 -0.550 1912 12 22.414 0.348 1 0 NaN NaN 22.752 0.416 1913 1 20.892 -0.450 0 0 20.892 -0.450 21.551 -0.061 1913 2 20.354 -0.859 0 0 20.354 -0.859 20.841 -0.641 1913 3 21.410 -0.183 0 0 21.410 -0.183 21.792 -0.070 1913 4 22.288 0.181 0 0 22.288 0.181 22.279 -0.098 1913 5 22.731 -0.506 0 0 22.731 -0.506 23.146 -0.360 1913 6 23.957 -0.254 0 0 23.957 -0.254 23.928 -0.553 1913 7 25.069 0.321 0 0 25.069 0.321 24.841 -0.178 1913 8 25.547 0.387 0 0 25.547 0.387 25.742 0.312 1913 9 25.797 0.623 0 0 25.797 0.623 25.521 0.078 1913 10 NaN NaN NaN NaN NaN NaN 24.930 0.200 1913 11 23.725 0.233 0 0 23.725 0.233 23.679 -0.084 1913 12 22.495 0.430 0 0 22.495 0.430 21.760 -0.575 1914 1 20.083 -1.258 0 0 20.083 -1.258 20.174 -1.437 1914 2 20.436 -0.776 0 0 20.436 -0.776 21.295 -0.187 1914 3 20.353 -1.239 0 0 20.353 -1.239 21.068 -0.794 1914 4 21.438 -0.669 0 0 21.438 -0.669 21.893 -0.484 1914 5 22.715 -0.522 0 0 22.715 -0.522 22.898 -0.609 1914 6 NaN NaN NaN NaN NaN NaN 24.157 -0.324 1914 7 NaN NaN NaN NaN NaN NaN 24.859 -0.159 1914 8 25.737 0.577 0 0 25.737 0.577 25.552 0.122 1914 9 24.820 -0.354 0 0 24.820 -0.354 25.225 -0.218 1914 10 23.827 -0.633 0 0 23.827 -0.633 24.386 -0.344 1914 11 22.407 -1.086 0 0 22.407 -1.086 23.230 -0.533 1914 12 20.423 -1.643 0 0 20.423 -1.643 21.256 -1.079 1915 1 19.637 -1.704 0 0 19.637 -1.704 20.696 -0.915 1915 2 20.280 -0.932 0 0 20.280 -0.932 20.329 -1.153 1915 3 20.779 -0.814 0 0 20.779 -0.814 21.512 -0.351 1915 4 21.627 -0.481 0 0 21.627 -0.481 21.975 -0.402 1915 5 23.119 -0.118 0 0 23.119 -0.118 23.903 0.396 1915 6 23.954 -0.257 0 0 23.954 -0.257 24.729 0.249 1915 7 24.777 0.029 0 0 24.777 0.029 25.112 0.094 1915 8 24.885 -0.274 0 0 24.885 -0.274 25.789 0.360 1915 9 24.986 -0.188 1 0 NaN NaN 25.594 0.150 1915 10 24.162 -0.298 1 0 NaN NaN 24.447 -0.283 1915 11 23.113 -0.379 0 0 23.113 -0.379 23.365 -0.398 1915 12 21.735 -0.330 0 0 21.735 -0.330 22.264 -0.072 1916 1 20.663 -0.679 0 0 20.663 -0.679 21.057 -0.554 1916 2 21.398 0.186 0 0 21.398 0.186 21.857 0.374 1916 3 21.532 -0.060 0 0 21.532 -0.060 22.183 0.321 1916 4 22.945 0.838 0 0 22.945 0.838 22.890 0.513 1916 5 23.102 -0.135 0 0 23.102 -0.135 23.291 -0.215 1916 6 23.885 -0.326 0 0 23.885 -0.326 23.805 -0.676 1916 7 NaN NaN NaN NaN NaN NaN 24.378 -0.640 1916 8 NaN NaN NaN NaN NaN NaN 24.350 -1.080 1916 9 24.374 -0.799 0 0 24.374 -0.799 24.720 -0.724 1916 10 23.524 -0.936 0 0 23.524 -0.936 24.060 -0.671 1916 11 22.519 -0.974 0 0 22.519 -0.974 23.237 -0.525 1916 12 21.180 -0.886 0 0 21.180 -0.886 21.748 -0.588 1917 1 20.184 -1.157 0 0 20.184 -1.157 20.853 -0.759 1917 2 19.555 -1.657 0 0 19.555 -1.657 20.590 -0.892 1917 3 20.781 -0.812 0 0 20.781 -0.812 21.499 -0.363 1917 4 22.013 -0.094 1 0 NaN NaN 22.300 -0.077 1917 5 22.500 -0.737 0 0 22.500 -0.737 23.188 -0.319 1917 6 23.592 -0.619 0 0 23.592 -0.619 24.004 -0.477 1917 7 23.670 -1.078 0 0 23.670 -1.078 24.356 -0.662 1917 8 24.171 -0.989 0 0 24.171 -0.989 25.056 -0.374 1917 9 24.290 -0.884 0 0 24.290 -0.884 25.113 -0.330 1917 10 23.469 -0.992 0 0 23.469 -0.992 24.243 -0.487 1917 11 22.514 -0.979 0 0 22.514 -0.979 23.465 -0.298 1917 12 21.049 -1.016 0 0 21.049 -1.016 22.256 -0.079 1918 1 20.882 -0.459 0 0 20.882 -0.459 21.351 -0.261 1918 2 20.986 -0.226 0 0 20.986 -0.226 21.108 -0.374 1918 3 NaN NaN NaN NaN NaN NaN 20.898 -0.964 1918 4 21.742 -0.366 0 0 21.742 -0.366 21.154 -1.223 1918 5 22.837 -0.400 0 0 22.837 -0.400 22.795 -0.711 1918 6 25.057 0.846 0 0 25.057 0.846 23.913 -0.568 1918 7 NaN NaN NaN NaN NaN NaN 24.830 -0.188 1918 8 25.928 0.768 0 0 25.928 0.768 25.339 -0.091 1918 9 NaN NaN NaN NaN NaN NaN 25.432 -0.012 1918 10 NaN NaN NaN NaN NaN NaN 24.988 0.258 1918 11 23.565 0.072 0 0 23.565 0.072 23.597 -0.165 1918 12 21.878 -0.188 0 0 21.878 -0.188 22.024 -0.312 1919 1 NaN NaN NaN NaN NaN NaN 20.845 -0.766 1919 2 23.056 1.844 0 0 23.056 1.844 21.478 -0.004 1919 3 NaN NaN NaN NaN NaN NaN 21.620 -0.243 1919 4 22.437 0.330 0 0 22.437 0.330 22.576 0.199 1919 5 22.824 -0.412 0 0 22.824 -0.412 23.140 -0.367 1919 6 24.555 0.344 0 0 24.555 0.344 24.436 -0.045 1919 7 24.566 -0.182 0 0 24.566 -0.182 24.580 -0.438 1919 8 25.034 -0.126 1 0 NaN NaN 25.391 -0.039 1919 9 NaN NaN NaN NaN NaN NaN 24.949 -0.494 1919 10 24.418 -0.043 0 0 24.418 -0.043 24.637 -0.094 1919 11 23.254 -0.238 0 0 23.254 -0.238 23.792 0.029 1919 12 21.353 -0.713 0 0 21.353 -0.713 22.202 -0.134 1920 1 NaN NaN NaN NaN NaN NaN 21.331 -0.280 1920 2 NaN NaN NaN NaN NaN NaN 21.802 0.320 1920 3 NaN NaN NaN NaN NaN NaN 21.703 -0.159 1920 4 NaN NaN NaN NaN NaN NaN 22.327 -0.050 1920 5 NaN NaN NaN NaN NaN NaN 23.701 0.195 1920 6 NaN NaN NaN NaN NaN NaN 24.351 -0.129 1920 7 NaN NaN NaN NaN NaN NaN 24.875 -0.144 1920 8 NaN NaN NaN NaN NaN NaN 25.483 0.054 1920 9 NaN NaN NaN NaN NaN NaN 25.231 -0.213 1920 10 NaN NaN NaN NaN NaN NaN 24.547 -0.183 1920 11 NaN NaN NaN NaN NaN NaN 22.873 -0.889 1920 12 NaN NaN NaN NaN NaN NaN 22.148 -0.187