% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25583 % Primary Name: KIHEI 311 % Record Type: TAVG % Country: United States % State: HI % Latitude: 20.78333 +/- 0.00833 % Longitude: -156.43363 +/- 0.00863 % Elevation (m): 48.43 +/- 0.42 % # of Months: 62 % % IDs: coop - 514489 % ghcnd - USC00514489 % ncdc - 20023384 % nws - KIHH1 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % Multi-network Metadata System % % Site Hash: 99c529c4695309342adbb76d61ee21ce % Raw Data Hash: 71c9dabdb436f765c8c262d2a0e7c781 % Adj Data Hash: cc42354a5bc1c48cef5cdbced9998c2d % % 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 1 NaN NaN NaN NaN NaN NaN 21.854 -0.179 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 19.987 -2.850 0 0 19.987 -2.850 20.486 -1.547 1905 2 21.014 -1.351 0 0 21.014 -1.351 20.883 -0.677 1905 3 21.558 -0.827 0 0 21.558 -0.827 21.274 -0.307 1905 4 22.912 0.254 0 0 22.912 0.254 21.681 -0.172 1905 5 24.206 0.588 0 0 24.206 0.588 22.794 -0.020 1905 6 24.978 0.483 0 0 24.978 0.483 23.457 -0.234 1905 7 25.290 0.211 0 0 25.290 0.211 24.161 -0.113 1905 8 26.547 0.983 1 0 NaN NaN 24.847 0.088 1905 9 25.522 -0.195 0 0 25.522 -0.195 24.748 -0.165 1905 10 24.808 -0.673 0 0 24.808 -0.673 24.331 -0.346 1905 11 23.855 -1.088 0 0 23.855 -1.088 24.084 -0.055 1905 12 21.755 -1.957 0 0 21.755 -1.957 22.441 -0.466 1906 1 21.535 -1.302 0 0 21.535 -1.302 21.847 -0.186 1906 2 21.504 -0.861 0 0 21.504 -0.861 21.477 -0.084 1906 3 20.829 -1.556 0 0 20.829 -1.556 20.773 -0.808 1906 4 23.278 0.621 0 0 23.278 0.621 22.097 0.244 1906 5 24.537 0.919 0 0 24.537 0.919 22.836 0.023 1906 6 25.718 1.223 0 0 25.718 1.223 24.130 0.439 1906 7 25.887 0.808 0 0 25.887 0.808 24.331 0.057 1906 8 26.252 0.688 0 0 26.252 0.688 24.800 0.040 1906 9 26.118 0.401 0 0 26.118 0.401 25.061 0.148 1906 10 25.682 0.202 0 0 25.682 0.202 25.024 0.347 1906 11 23.695 -1.248 0 0 23.695 -1.248 24.146 0.008 1906 12 22.601 -1.111 0 0 22.601 -1.111 22.645 -0.262 1907 1 22.539 -0.299 0 0 22.539 -0.299 22.458 0.424 1907 2 21.736 -0.629 0 0 21.736 -0.629 21.607 0.046 1907 3 21.652 -0.734 0 0 21.652 -0.734 20.814 -0.767 1907 4 22.168 -0.489 0 0 22.168 -0.489 20.922 -0.932 1907 5 23.886 0.268 0 0 23.886 0.268 23.034 0.221 1907 6 25.130 0.634 0 0 25.130 0.634 23.913 0.222 1907 7 25.982 0.903 0 0 25.982 0.903 24.252 -0.023 1907 8 26.716 1.153 1 0 NaN NaN 24.484 -0.275 1907 9 26.603 0.886 1 0 NaN NaN 24.954 0.041 1907 10 24.535 -0.945 0 0 24.535 -0.945 24.160 -0.517 1907 11 NaN NaN NaN NaN NaN NaN 23.679 -0.460 1907 12 22.002 -1.710 0 0 22.002 -1.710 23.069 0.162 1908 1 20.823 -2.015 0 0 20.823 -2.015 21.497 -0.537 1908 2 21.273 -1.092 1 0 NaN NaN 21.328 -0.233 1908 3 22.957 0.572 1 0 NaN NaN 21.899 0.318 1908 4 22.792 0.134 0 0 22.792 0.134 21.410 -0.443 1908 5 23.781 0.164 0 0 23.781 0.164 22.536 -0.278 1908 6 24.509 0.014 0 0 24.509 0.014 22.779 -0.912 1908 7 24.873 -0.206 0 0 24.873 -0.206 23.329 -0.946 1908 8 24.821 -0.742 0 0 24.821 -0.742 24.049 -0.710 1908 9 25.378 -0.339 1 0 NaN NaN 24.017 -0.896 1908 10 24.737 -0.743 1 0 NaN NaN 23.681 -0.995 1908 11 23.285 -1.658 1 0 NaN NaN 23.250 -0.889 1908 12 22.292 -1.420 0 0 22.292 -1.420 21.920 -0.987 1909 1 21.465 -1.373 0 0 21.465 -1.373 21.318 -0.715 1909 2 21.779 -0.586 0 0 21.779 -0.586 20.721 -0.839 1909 3 21.723 -0.662 1 0 NaN NaN 20.339 -1.242 1909 4 22.650 -0.008 0 0 22.650 -0.008 21.223 -0.631 1909 5 23.713 0.095 0 0 23.713 0.095 22.092 -0.721 1909 6 24.438 -0.057 0 0 24.438 -0.057 23.139 -0.552 1909 7 NaN NaN NaN NaN NaN NaN 23.164 -1.111 1909 8 24.727 -0.837 1 0 NaN NaN 23.837 -0.922 1909 9 25.876 0.159 1 0 NaN NaN 24.098 -0.814 1909 10 NaN NaN NaN NaN NaN NaN 23.992 -0.684 1909 11 NaN NaN NaN NaN NaN NaN 23.687 -0.452 1909 12 NaN NaN NaN NaN NaN NaN 22.489 -0.418 1910 1 21.084 -1.753 0 0 21.084 -1.753 20.815 -1.218 1910 2 NaN NaN NaN NaN NaN NaN 20.513 -1.047 1910 3 22.361 -0.024 0 0 22.361 -0.024 21.163 -0.418 1910 4 23.093 0.435 1 0 NaN NaN 21.101 -0.752 1910 5 24.455 0.837 0 0 24.455 0.837 21.833 -0.981 1910 6 24.762 0.266 0 0 24.762 0.266 22.531 -1.160 1910 7 NaN NaN NaN NaN NaN NaN 23.211 -1.064 1910 8 NaN NaN NaN NaN NaN NaN 23.831 -0.928 1910 9 26.198 0.481 0 0 26.198 0.481 24.446 -0.467 1910 10 24.984 -0.496 1 0 NaN NaN 23.857 -0.819 1910 11 NaN NaN NaN NaN NaN NaN 23.733 -0.406 1910 12 NaN NaN NaN NaN NaN NaN 21.956 -0.951 1911 1 NaN NaN NaN NaN NaN NaN 21.122 -0.911 1911 2 NaN NaN NaN NaN NaN NaN 20.575 -0.985 1911 3 NaN NaN NaN NaN NaN NaN 21.150 -0.431 1911 4 NaN NaN NaN NaN NaN NaN 21.773 -0.080 1911 5 NaN NaN NaN NaN NaN NaN 22.435 -0.379 1911 6 NaN NaN NaN NaN NaN NaN 22.840 -0.851 1911 7 NaN NaN NaN NaN NaN NaN 23.805 -0.470 1911 8 NaN NaN NaN NaN NaN NaN 24.609 -0.150 1911 9 NaN NaN NaN NaN NaN NaN 24.193 -0.719 1911 10 NaN NaN NaN NaN NaN NaN 23.738 -0.938