% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25568 % Primary Name: KIPAHULU 258 % Record Type: TAVG % Country: United States % State: HI % Latitude: 20.65000 +/- 0.00005 % Longitude: -156.06670 +/- 0.00005 % Elevation (m): 78.90 +/- 0.05 % # of Months: 128 % % IDs: coop - 514634 % ghcnd - USC00514634 % ncdc - 20023357 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: eb0dcd4428abd19e751df2e7f3be7ed9 % Raw Data Hash: 56124c8aecc23848d88a778ffba8638e % Adj Data Hash: d3dc9e1179be21d566e07d6f44f19a8d % % 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 1915 9 NaN NaN NaN NaN NaN NaN 23.322 -0.057 1915 10 NaN NaN NaN NaN NaN NaN 22.478 -0.534 1915 11 NaN NaN NaN NaN NaN NaN 21.651 -0.616 1915 12 NaN NaN NaN NaN NaN NaN 20.877 -0.154 1916 1 NaN NaN NaN NaN NaN NaN 20.500 0.068 1916 2 NaN NaN NaN NaN NaN NaN 20.731 0.557 1916 3 NaN NaN NaN NaN NaN NaN 21.074 0.752 1916 4 NaN NaN NaN NaN NaN NaN 21.019 0.367 1916 5 NaN NaN NaN NaN NaN NaN 21.361 -0.228 1916 6 NaN NaN NaN NaN NaN NaN 21.413 -0.994 1916 7 NaN NaN NaN NaN NaN NaN 21.896 -1.019 1916 8 NaN NaN NaN NaN NaN NaN 22.068 -1.246 1916 9 24.938 -0.636 1 0 NaN NaN 22.452 -0.927 1916 10 24.202 -1.004 1 0 NaN NaN 22.362 -0.650 1916 11 23.313 -1.148 0 0 23.583 -0.879 21.499 -0.769 1916 12 21.755 -1.471 0 0 22.308 -0.918 20.223 -0.809 1917 1 21.659 -0.967 0 0 22.423 -0.203 19.974 -0.458 1917 2 21.840 -0.528 1 0 NaN NaN 20.108 -0.065 1917 3 21.241 -1.275 0 0 22.355 -0.161 19.997 -0.325 1917 4 NaN NaN NaN NaN NaN NaN 20.553 -0.098 1917 5 NaN NaN NaN NaN NaN NaN 21.611 0.022 1917 6 22.835 -1.766 1 0 NaN NaN 22.088 -0.320 1917 7 23.509 -1.600 0 0 23.591 -1.518 22.433 -0.482 1917 8 23.801 -1.707 0 0 23.742 -1.766 22.920 -0.394 1917 9 24.627 -0.947 0 0 24.434 -1.140 23.022 -0.357 1917 10 24.755 -0.451 1 0 NaN NaN 22.833 -0.179 1917 11 23.210 -1.252 1 0 NaN NaN 22.188 -0.080 1917 12 21.531 -1.695 0 0 22.083 -1.142 21.288 0.257 1918 1 21.705 -0.921 0 0 22.469 -0.157 20.417 -0.015 1918 2 20.658 -1.710 1 0 NaN NaN 19.635 -0.538 1918 3 19.341 -3.175 1 0 NaN NaN 19.409 -0.913 1918 4 20.839 -2.007 1 0 NaN NaN 19.765 -0.887 1918 5 23.218 -0.565 1 0 NaN NaN 21.098 -0.491 1918 6 22.683 -1.918 0 0 22.847 -1.755 22.014 -0.393 1918 7 23.868 -1.241 0 0 23.950 -1.160 22.426 -0.489 1918 8 NaN NaN NaN NaN NaN NaN 23.234 -0.080 1918 9 25.326 -0.247 0 0 25.133 -0.440 23.269 -0.110 1918 10 24.718 -0.488 1 0 NaN NaN 22.966 -0.046 1918 11 23.787 -0.675 0 0 24.056 -0.405 22.111 -0.156 1918 12 22.169 -1.057 1 0 NaN NaN 20.440 -0.592 1919 1 22.556 -0.070 0 0 23.319 0.693 19.427 -1.005 1919 2 22.556 0.188 0 0 23.562 1.195 19.724 -0.449 1919 3 22.111 -0.405 0 0 23.225 0.709 19.912 -0.410 1919 4 23.444 0.599 0 0 24.302 1.457 20.652 0.000 1919 5 23.556 -0.228 0 0 23.975 0.192 21.272 -0.318 1919 6 24.222 -0.379 0 0 24.386 -0.216 22.285 -0.122 1919 7 23.944 -1.165 0 0 24.026 -1.083 22.352 -0.563 1919 8 24.722 -0.786 0 0 24.663 -0.845 22.841 -0.473 1919 9 25.000 -0.573 0 0 24.807 -0.767 22.749 -0.631 1919 10 25.000 -0.206 0 0 24.934 -0.272 22.591 -0.420 1919 11 23.722 -0.739 0 0 23.992 -0.470 21.978 -0.290 1919 12 22.500 -0.726 0 0 23.053 -0.173 21.188 0.156 1920 1 21.889 -0.737 0 0 22.653 0.027 20.370 -0.061 1920 2 22.444 0.077 0 0 23.451 1.084 19.946 -0.228 1920 3 22.222 -0.294 0 0 23.336 0.820 19.934 -0.388 1920 4 23.333 0.488 0 0 24.191 1.345 20.511 -0.141 1920 5 24.000 0.217 0 0 24.420 0.637 22.253 0.664 1920 6 24.000 -0.601 0 0 24.163 -0.438 22.436 0.028 1920 7 23.667 -1.443 0 0 23.748 -1.361 22.643 -0.272 1920 8 24.167 -1.341 0 0 24.107 -1.401 23.048 -0.266 1920 9 23.889 -1.685 1 0 NaN NaN 22.730 -0.649 1920 10 24.111 -1.095 0 0 24.045 -1.161 22.293 -0.719 1920 11 23.667 -0.795 0 0 23.936 -0.525 21.313 -0.954 1920 12 21.722 -1.504 0 0 22.275 -0.951 20.512 -0.520 1921 1 21.778 -0.848 0 0 22.541 -0.084 19.634 -0.798 1921 2 22.778 0.410 0 0 23.785 1.417 20.452 0.278 1921 3 23.333 0.817 0 0 24.447 1.931 20.528 0.206 1921 4 23.222 0.376 0 0 24.080 1.234 20.655 0.003 1921 5 23.500 -0.283 0 0 23.920 0.137 22.023 0.434 1921 6 23.889 -0.713 0 0 24.052 -0.549 22.488 0.080 1921 7 23.111 -1.998 0 0 23.193 -1.916 22.555 -0.360 1921 8 23.889 -1.619 0 0 23.830 -1.678 22.701 -0.612 1921 9 24.556 -1.018 0 0 24.363 -1.211 22.440 -0.939 1921 10 24.667 -0.539 0 0 24.601 -0.605 22.440 -0.572 1921 11 NaN NaN NaN NaN NaN NaN 21.406 -0.861 1921 12 22.444 -0.781 0 0 22.997 -0.229 20.650 -0.381 1922 1 21.389 -1.237 0 0 22.153 -0.473 19.704 -0.727 1922 2 21.389 -0.979 0 0 22.396 0.028 19.171 -1.003 1922 3 NaN NaN NaN NaN NaN NaN 19.866 -0.456 1922 4 NaN NaN NaN NaN NaN NaN 20.915 0.263 1922 5 24.056 0.272 0 4 23.729 -0.054 21.179 -0.410 1922 6 24.333 -0.268 0 0 24.206 -0.395 22.032 -0.375 1922 7 24.556 -0.554 0 0 24.492 -0.617 22.762 -0.153 1922 8 24.222 -1.286 0 0 24.268 -1.240 22.828 -0.486 1922 9 NaN NaN NaN NaN NaN NaN 22.858 -0.521 1922 10 NaN NaN NaN NaN NaN NaN 22.696 -0.315 1922 11 NaN NaN NaN NaN NaN NaN 21.792 -0.476 1922 12 22.420 -0.806 1 0 NaN NaN 21.061 0.029 1923 1 NaN NaN NaN NaN NaN NaN 19.897 -0.535 1923 2 NaN NaN NaN NaN NaN NaN 20.023 -0.151 1923 3 NaN NaN NaN NaN NaN NaN 20.172 -0.150 1923 4 NaN NaN NaN NaN NaN NaN 20.608 -0.044 1923 5 23.056 -0.728 0 0 22.729 -1.054 21.275 -0.314 1923 6 NaN NaN NaN NaN NaN NaN 21.480 -0.927 1923 7 NaN NaN NaN NaN NaN NaN 22.090 -0.825 1923 8 24.889 -0.619 0 0 24.935 -0.573 22.834 -0.480 1923 9 24.222 -1.351 0 0 24.372 -1.201 23.250 -0.129 1923 10 NaN NaN NaN NaN NaN NaN 22.721 -0.291 1923 11 NaN NaN NaN NaN NaN NaN 21.649 -0.618 1923 12 NaN NaN NaN NaN NaN NaN 20.304 -0.727 1924 1 NaN NaN NaN NaN NaN NaN 19.328 -1.104 1924 2 24.444 2.077 0 0 23.661 1.294 20.195 0.021 1924 3 23.444 0.928 0 0 22.578 0.062 19.674 -0.649 1924 4 23.222 0.376 0 0 22.555 -0.291 20.691 0.039 1924 5 24.222 0.439 0 0 23.896 0.112 21.268 -0.322 1924 6 24.556 -0.046 0 0 24.428 -0.173 21.948 -0.459 1924 7 24.944 -0.165 0 0 24.881 -0.228 22.065 -0.850 1924 8 25.556 0.048 0 0 25.602 0.094 22.511 -0.803 1924 9 NaN NaN NaN NaN NaN NaN 22.722 -0.658 1924 10 NaN NaN NaN NaN NaN NaN 22.219 -0.793 1924 11 NaN NaN NaN NaN NaN NaN 21.819 -0.449 1924 12 NaN NaN NaN NaN NaN NaN 21.340 0.309 1925 1 22.667 0.041 0 0 22.073 -0.553 20.176 -0.256 1925 2 24.784 2.416 1 0 NaN NaN 20.450 0.276 1925 3 22.667 0.151 0 0 21.800 -0.716 19.978 -0.344 1925 4 22.000 -0.846 0 0 21.333 -1.513 19.645 -1.006 1925 5 22.556 -1.228 0 0 22.229 -1.554 20.732 -0.857 1925 6 23.556 -1.046 0 0 23.428 -1.173 21.431 -0.976 1925 7 25.111 0.002 0 0 25.048 -0.062 22.338 -0.577 1925 8 25.667 0.159 0 0 25.713 0.205 22.724 -0.590 1925 9 25.778 0.204 0 0 25.928 0.354 22.944 -0.436 1925 10 25.944 0.739 0 0 25.996 0.790 22.720 -0.292 1925 11 25.444 0.983 0 0 25.235 0.773 21.720 -0.547 1925 12 23.611 0.385 0 0 23.181 -0.045 21.403 0.372 1926 1 24.444 1.819 0 0 23.850 1.225 20.659 0.227 1926 2 NaN NaN NaN NaN NaN NaN 20.377 0.203 1926 3 24.111 1.595 0 0 23.245 0.728 20.306 -0.016 1926 4 23.833 0.988 0 0 23.166 0.320 19.929 -0.723 1926 5 24.222 0.439 0 0 23.896 0.112 21.479 -0.110 1926 6 24.222 -0.379 0 0 24.095 -0.506 22.620 0.213 1926 7 24.167 -0.943 0 0 24.103 -1.006 22.796 -0.119 1926 8 24.167 -1.341 0 0 24.213 -1.295 22.939 -0.374 1926 9 24.167 -1.407 0 0 24.317 -1.257 23.179 -0.200 1926 10 24.222 -0.984 0 0 24.274 -0.932 23.014 0.002 1926 11 24.111 -0.350 0 0 23.902 -0.560 22.122 -0.145 1926 12 22.000 -1.226 0 0 21.570 -1.656 21.235 0.204 1927 1 22.333 -0.293 0 0 21.739 -0.887 20.357 -0.075 1927 2 24.222 1.854 0 0 23.439 1.071 20.960 0.786 1927 3 24.167 1.651 0 0 23.300 0.784 20.723 0.401 1927 4 24.444 1.599 0 0 23.777 0.931 20.967 0.315 1927 5 24.500 0.717 0 0 24.173 0.390 21.784 0.194 1927 6 24.778 0.176 0 0 24.651 0.049 22.439 0.032 1927 7 24.389 -0.720 0 0 24.325 -0.784 22.434 -0.481 1927 8 NaN NaN NaN NaN NaN NaN 22.711 -0.603 1927 9 NaN NaN NaN NaN NaN NaN 22.854 -0.525 1927 10 24.000 -1.206 0 0 24.051 -1.154 22.659 -0.352 1927 11 24.444 -0.017 0 0 24.235 -0.227 22.422 0.155 1927 12 24.444 1.219 0 0 24.015 0.789 20.921 -0.111 1928 1 22.444 -0.181 0 0 21.850 -0.775 20.173 -0.258 1928 2 23.000 0.632 0 0 22.217 -0.151 19.716 -0.457 1928 3 24.444 1.928 0 0 23.578 1.062 20.898 0.576 1928 4 24.056 1.210 0 0 23.388 0.543 21.147 0.496 1928 5 24.278 0.494 0 0 23.951 0.168 21.652 0.062 1928 6 24.222 -0.379 0 0 24.095 -0.506 22.091 -0.317 1928 7 24.500 -0.609 0 0 24.437 -0.673 22.386 -0.530 1928 8 24.444 -1.064 0 0 24.490 -1.018 23.111 -0.203 1928 9 24.222 -1.351 0 0 24.372 -1.201 22.897 -0.482 1928 10 24.000 -1.206 0 0 24.051 -1.154 22.614 -0.398 1928 11 24.111 -0.350 0 0 23.902 -0.560 22.072 -0.195 1928 12 24.111 0.885 0 0 23.681 0.455 20.417 -0.614 1929 1 24.444 1.819 0 0 23.850 1.225 20.188 -0.244 1929 2 23.573 1.205 1 0 NaN NaN 19.653 -0.521 1929 3 23.611 1.095 0 0 22.745 0.228 20.458 0.136 1929 4 23.889 1.043 0 0 23.222 0.376 20.723 0.072 1929 5 24.444 0.661 0 0 24.118 0.334 21.897 0.307 1929 6 23.889 -0.713 0 0 23.762 -0.840 22.528 0.121 1929 7 NaN NaN NaN NaN NaN NaN 23.351 0.436 1929 8 NaN NaN NaN NaN NaN NaN 23.742 0.428 1929 9 NaN NaN NaN NaN NaN NaN 24.056 0.677 1929 10 NaN NaN NaN NaN NaN NaN 23.460 0.448 1929 11 NaN NaN NaN NaN NaN NaN 22.475 0.208 1929 12 NaN NaN NaN NaN NaN NaN 20.789 -0.242 1930 1 NaN NaN NaN NaN NaN NaN 20.386 -0.046 1930 2 NaN NaN NaN NaN NaN NaN 21.013 0.839 1930 3 NaN NaN NaN NaN NaN NaN 20.385 0.063 1930 4 NaN NaN NaN NaN NaN NaN 19.830 -0.822 1930 5 NaN NaN NaN NaN NaN NaN 21.170 -0.419 1930 6 NaN NaN NaN NaN NaN NaN 21.770 -0.637