% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25681 % Primary Name: HEEIA % Record Type: TAVG % Country: United States % State: HI % Latitude: 21.43330 +/- 0.00005 % Longitude: -157.81670 +/- 0.00005 % Elevation (m): 31.10 +/- 0.05 % # of Months: 120 % % Alternate Names: Missing Station ID - 511370 % % IDs: coop - 511370 % ghcnd - USC00511370 % ncdc - 20023589 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 06fbbcd1362d1b6d05da61378fafdc2d % Raw Data Hash: f467c0ef6970778197f61ae2b67e3f70 % Adj Data Hash: 280e053985ee628329ac9c9b671e72a9 % % 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 1 NaN NaN NaN NaN NaN NaN 20.696 -0.915 1915 2 NaN NaN NaN NaN NaN NaN 20.329 -1.153 1915 3 NaN NaN NaN NaN NaN NaN 21.512 -0.351 1915 4 NaN NaN NaN NaN NaN NaN 21.975 -0.402 1915 5 NaN NaN NaN NaN NaN NaN 23.903 0.396 1915 6 NaN NaN NaN NaN NaN NaN 24.729 0.249 1915 7 NaN NaN NaN NaN NaN NaN 25.112 0.094 1915 8 NaN NaN NaN NaN NaN NaN 25.789 0.360 1915 9 NaN NaN NaN NaN NaN NaN 25.594 0.150 1915 10 NaN NaN NaN NaN NaN NaN 24.447 -0.283 1915 11 NaN NaN NaN NaN NaN NaN 23.365 -0.398 1915 12 NaN NaN NaN NaN NaN NaN 22.264 -0.072 1916 1 21.100 -0.614 0 0 21.100 -0.614 21.057 -0.554 1916 2 22.028 0.442 1 0 NaN NaN 21.857 0.374 1916 3 22.614 0.648 0 0 22.614 0.648 22.183 0.321 1916 4 23.018 0.538 0 0 23.018 0.538 22.890 0.513 1916 5 23.383 -0.227 0 0 23.383 -0.227 23.291 -0.215 1916 6 24.455 -0.129 0 0 24.455 -0.129 23.805 -0.676 1916 7 24.916 -0.205 0 0 24.916 -0.205 24.378 -0.640 1916 8 24.668 -0.865 0 0 24.668 -0.865 24.350 -1.080 1916 9 24.937 -0.610 0 0 24.937 -0.610 24.720 -0.724 1916 10 22.984 -1.850 0 0 22.984 -1.850 24.060 -0.671 1916 11 22.460 -1.406 0 0 22.460 -1.406 23.237 -0.525 1916 12 22.021 -0.418 0 0 22.021 -0.418 21.748 -0.588 1917 1 21.071 -0.644 0 0 21.071 -0.644 20.853 -0.759 1917 2 20.979 -0.607 0 0 20.979 -0.607 20.590 -0.892 1917 3 21.802 -0.163 1 0 NaN NaN 21.499 -0.363 1917 4 22.580 0.099 0 0 22.580 0.099 22.300 -0.077 1917 5 23.506 -0.104 0 0 23.506 -0.104 23.188 -0.319 1917 6 24.477 -0.107 0 0 24.477 -0.107 24.004 -0.477 1917 7 25.141 0.019 0 0 25.141 0.019 24.356 -0.662 1917 8 25.690 0.157 0 0 25.690 0.157 25.056 -0.374 1917 9 25.107 -0.440 0 0 25.107 -0.440 25.113 -0.330 1917 10 NaN NaN NaN NaN NaN NaN 24.243 -0.487 1917 11 23.426 -0.440 0 0 23.426 -0.440 23.465 -0.298 1917 12 22.615 0.176 1 0 NaN NaN 22.256 -0.079 1918 1 21.623 -0.092 0 0 21.623 -0.092 21.351 -0.261 1918 2 21.555 -0.030 0 0 21.555 -0.030 21.108 -0.374 1918 3 21.258 -0.708 0 0 21.258 -0.708 20.898 -0.964 1918 4 21.177 -1.304 0 0 21.177 -1.304 21.154 -1.223 1918 5 22.982 -0.628 0 0 22.982 -0.628 22.795 -0.711 1918 6 24.068 -0.516 0 0 24.068 -0.516 23.913 -0.568 1918 7 24.900 -0.222 1 0 NaN NaN 24.830 -0.188 1918 8 25.026 -0.507 0 0 25.026 -0.507 25.339 -0.091 1918 9 25.440 -0.107 0 0 25.440 -0.107 25.432 -0.012 1918 10 24.974 0.140 0 0 24.974 0.140 24.988 0.258 1918 11 23.398 -0.468 0 0 23.398 -0.468 23.597 -0.165 1918 12 22.240 -0.199 0 0 22.240 -0.199 22.024 -0.312 1919 1 21.000 -0.715 0 0 21.000 -0.715 20.845 -0.766 1919 2 21.944 0.359 0 0 21.944 0.359 21.478 -0.004 1919 3 21.889 -0.077 0 0 21.889 -0.077 21.620 -0.243 1919 4 22.611 0.131 0 0 22.611 0.131 22.576 0.199 1919 5 23.556 -0.054 0 0 23.556 -0.054 23.140 -0.367 1919 6 24.556 -0.029 0 0 24.556 -0.029 24.436 -0.045 1919 7 24.444 -0.677 0 0 24.444 -0.677 24.580 -0.438 1919 8 25.111 -0.422 0 0 25.111 -0.422 25.391 -0.039 1919 9 24.778 -0.769 0 0 24.778 -0.769 24.949 -0.494 1919 10 24.556 -0.278 0 0 24.556 -0.278 24.637 -0.094 1919 11 23.944 0.078 0 0 23.944 0.078 23.792 0.029 1919 12 22.889 0.450 0 0 22.889 0.450 22.202 -0.134 1920 1 21.429 -0.286 0 0 21.429 -0.286 21.331 -0.280 1920 2 22.389 0.803 0 0 22.389 0.803 21.802 0.320 1920 3 22.556 0.590 0 0 22.556 0.590 21.703 -0.159 1920 4 22.167 -0.314 0 0 22.167 -0.314 22.327 -0.050 1920 5 23.056 -0.554 0 0 23.056 -0.554 23.701 0.195 1920 6 22.778 -1.806 0 0 22.778 -1.806 24.351 -0.129 1920 7 23.056 -2.066 0 0 23.056 -2.066 24.875 -0.144 1920 8 22.944 -2.589 0 0 22.944 -2.589 25.483 0.054 1920 9 23.556 -1.992 0 0 23.556 -1.992 25.231 -0.213 1920 10 23.556 -1.278 0 0 23.556 -1.278 24.547 -0.183 1920 11 21.889 -1.977 0 0 21.889 -1.977 22.873 -0.889 1920 12 22.111 -0.328 0 0 22.111 -0.328 22.148 -0.187 1921 1 21.447 -0.267 1 0 NaN NaN 21.193 -0.418 1921 2 NaN NaN NaN NaN NaN NaN 21.765 0.283 1921 3 NaN NaN NaN NaN NaN NaN 21.677 -0.186 1921 4 NaN NaN NaN NaN NaN NaN 22.499 0.121 1921 5 25.438 1.828 1 0 NaN NaN 23.423 -0.084 1921 6 25.556 0.971 0 0 25.556 0.971 24.886 0.405 1921 7 25.333 0.212 0 0 25.333 0.212 24.864 -0.155 1921 8 25.722 0.189 0 0 25.722 0.189 25.078 -0.352 1921 9 25.444 -0.103 0 0 25.444 -0.103 24.992 -0.451 1921 10 24.222 -0.611 0 0 24.222 -0.611 24.021 -0.709 1921 11 23.111 -0.755 0 0 23.111 -0.755 23.077 -0.686 1921 12 22.222 -0.217 0 0 22.222 -0.217 21.962 -0.374 1922 1 21.111 -0.603 0 0 21.111 -0.603 21.016 -0.596 1922 2 21.222 -0.363 0 0 21.222 -0.363 20.887 -0.595 1922 3 21.167 -0.799 0 0 21.167 -0.799 21.537 -0.325 1922 4 NaN NaN NaN NaN NaN NaN 22.480 0.103 1922 5 NaN NaN NaN NaN NaN NaN 22.951 -0.556 1922 6 25.111 0.527 0 0 25.111 0.527 24.064 -0.416 1922 7 25.500 0.378 0 0 25.500 0.378 24.846 -0.172 1922 8 25.333 -0.200 0 0 25.333 -0.200 25.146 -0.283 1922 9 25.333 -0.214 0 0 25.333 -0.214 24.986 -0.457 1922 10 24.444 -0.389 0 0 24.444 -0.389 24.264 -0.466 1922 11 24.611 0.745 0 0 24.611 0.745 23.134 -0.629 1922 12 NaN NaN NaN NaN NaN NaN 22.257 -0.078 1923 1 NaN NaN NaN NaN NaN NaN 21.331 -0.280 1923 2 NaN NaN NaN NaN NaN NaN 20.501 -0.981 1923 3 21.889 -0.077 0 0 21.889 -0.077 21.327 -0.535 1923 4 22.778 0.297 0 0 22.778 0.297 22.247 -0.130 1923 5 24.167 0.557 0 0 24.167 0.557 23.438 -0.069 1923 6 24.889 0.305 0 0 24.889 0.305 24.079 -0.402 1923 7 25.556 0.434 0 0 25.556 0.434 24.735 -0.283 1923 8 26.222 0.689 0 0 26.222 0.689 25.155 -0.274 1923 9 26.000 0.453 0 0 26.000 0.453 25.550 0.106 1923 10 24.333 -0.500 0 0 24.333 -0.500 24.767 0.037 1923 11 23.444 -0.422 0 0 23.444 -0.422 23.465 -0.298 1923 12 22.889 0.450 0 0 22.889 0.450 21.935 -0.400 1924 1 21.222 -0.492 0 0 21.222 -0.492 20.720 -0.891 1924 2 22.556 0.970 0 0 22.556 0.970 21.503 0.021 1924 3 23.111 1.145 0 0 23.111 1.145 21.623 -0.239 1924 4 23.389 0.908 0 0 23.389 0.908 22.079 -0.298 1924 5 NaN NaN NaN NaN NaN NaN 23.309 -0.198 1924 6 NaN NaN NaN NaN NaN NaN 24.146 -0.334 1924 7 NaN NaN NaN NaN NaN NaN 24.391 -0.627 1924 8 NaN NaN NaN NaN NaN NaN 24.743 -0.687 1924 9 25.722 0.175 0 0 25.722 0.175 25.095 -0.349 1924 10 24.333 -0.500 0 0 24.333 -0.500 24.158 -0.572 1924 11 22.333 -1.533 0 0 22.333 -1.533 23.288 -0.475 1924 12 22.333 -0.106 0 0 22.333 -0.106 22.227 -0.109 1925 1 22.000 0.285 0 0 22.000 0.285 21.794 0.183 1925 2 23.556 1.970 0 0 23.556 1.970 21.921 0.439 1925 3 22.056 0.090 0 0 22.056 0.090 21.729 -0.133 1925 4 22.833 0.353 0 0 22.833 0.353 21.833 -0.545 1925 5 22.833 -0.777 0 0 22.833 -0.777 22.936 -0.571 1925 6 23.833 -0.751 0 0 23.833 -0.751 23.929 -0.551 1925 7 22.722 -2.399 0 0 22.722 -2.399 24.491 -0.527 1925 8 23.833 -1.700 0 0 23.833 -1.700 25.158 -0.272 1925 9 NaN NaN NaN NaN NaN NaN 25.022 -0.422 1925 10 NaN NaN NaN NaN NaN NaN 24.554 -0.176 1925 11 23.833 -0.033 0 0 23.833 -0.033 23.679 -0.083 1925 12 NaN NaN NaN NaN NaN NaN 22.449 0.114 1926 1 22.889 1.174 0 0 22.889 1.174 21.759 0.148 1926 2 22.778 1.192 0 0 22.778 1.192 21.636 0.154 1926 3 22.741 0.775 1 0 NaN NaN 22.121 0.258 1926 4 20.333 -2.147 0 0 20.333 -2.147 21.405 -0.972 1926 5 NaN NaN NaN NaN NaN NaN 23.935 0.428 1926 6 23.444 -1.140 0 0 23.444 -1.140 24.185 -0.296 1926 7 NaN NaN NaN NaN NaN NaN 25.079 0.061 1926 8 NaN NaN NaN NaN NaN NaN 25.280 -0.150 1926 9 24.333 -1.214 0 0 24.333 -1.214 25.445 0.002 1926 10 24.167 -0.667 0 0 24.167 -0.667 24.678 -0.052 1926 11 NaN NaN NaN NaN NaN NaN 23.775 0.012 1926 12 25.573 3.134 1 0 NaN NaN 23.096 0.761 1927 1 NaN NaN NaN NaN NaN NaN 21.881 0.270 1927 2 NaN NaN NaN NaN NaN NaN 21.549 0.066 1927 3 NaN NaN NaN NaN NaN NaN 22.241 0.379 1927 4 22.556 0.075 0 0 22.556 0.075 22.286 -0.091 1927 5 23.444 -0.166 0 0 23.444 -0.166 23.508 0.001 1927 6 23.944 -0.640 0 0 23.944 -0.640 24.465 -0.016 1927 7 23.944 -1.177 0 0 23.944 -1.177 24.455 -0.563 1927 8 24.000 -1.533 0 0 24.000 -1.533 25.081 -0.349 1927 9 23.506 -2.041 0 0 23.506 -2.041 25.211 -0.232 1927 10 NaN NaN NaN NaN NaN NaN 24.776 0.045 1927 11 23.889 0.023 0 0 23.889 0.023 23.967 0.204 1927 12 24.328 1.889 0 0 24.328 1.889 22.160 -0.176 1928 1 NaN NaN NaN NaN NaN NaN 21.555 -0.056 1928 2 NaN NaN NaN NaN NaN NaN 21.004 -0.478 1928 3 NaN NaN NaN NaN NaN NaN 22.390 0.527 1928 4 NaN NaN NaN NaN NaN NaN 22.958 0.581 1928 5 NaN NaN NaN NaN NaN NaN 23.342 -0.164 1928 6 NaN NaN NaN NaN NaN NaN 24.212 -0.268 1928 7 NaN NaN NaN NaN NaN NaN 24.602 -0.416 1928 8 NaN NaN NaN NaN NaN NaN 25.148 -0.282 1928 9 NaN NaN NaN NaN NaN NaN 25.093 -0.351 1928 10 NaN NaN NaN NaN NaN NaN 24.440 -0.290 1928 11 NaN NaN NaN NaN NaN NaN 23.087 -0.676 1928 12 NaN NaN NaN NaN NaN NaN 22.072 -0.264