% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25512 % Primary Name: HUMUULA % Record Type: TAVG % Country: United States % State: HI % Latitude: 19.71670 +/- 0.00005 % Longitude: -155.43330 +/- 0.00005 % Elevation (m): 2037.59 +/- 0.15 % # of Months: 80 % % Alternate Names: Missing Station ID - 512182 % % IDs: coop - 512182 % ghcnd - USC00512182 % ncdc - 30015321 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % Multi-network Metadata System % % Site Hash: c21193b6021f7dc7b36efdea259496b7 % Raw Data Hash: 4b3c42fbf9e439096064254a4433cd39 % Adj Data Hash: 5c9f0d6d72802deec8288773f8ec1f5a % % 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 6 NaN NaN NaN NaN NaN NaN 22.133 -0.274 1904 7 NaN NaN NaN NaN NaN NaN 22.607 -0.308 1904 8 NaN NaN NaN NaN NaN NaN 22.907 -0.407 1904 9 NaN NaN NaN NaN NaN NaN 23.086 -0.293 1904 10 NaN NaN NaN NaN NaN NaN 22.711 -0.301 1904 11 NaN NaN NaN NaN NaN NaN 21.418 -0.849 1904 12 NaN NaN NaN NaN NaN NaN 20.498 -0.533 1905 1 NaN NaN NaN NaN NaN NaN 19.100 -1.332 1905 2 NaN NaN NaN NaN NaN NaN 19.318 -0.856 1905 3 NaN NaN NaN NaN NaN NaN 20.027 -0.295 1905 4 NaN NaN NaN NaN NaN NaN 20.402 -0.250 1905 5 NaN NaN NaN NaN NaN NaN 21.651 0.062 1905 6 10.653 -1.691 1 0 NaN NaN 22.084 -0.323 1905 7 12.866 0.015 0 0 13.357 0.506 22.898 -0.017 1905 8 12.671 -0.579 0 0 13.162 -0.088 23.461 0.147 1905 9 12.347 -0.969 0 0 12.837 -0.478 23.362 -0.018 1905 10 NaN NaN NaN NaN NaN NaN 22.710 -0.301 1905 11 11.298 -0.905 0 0 11.789 -0.415 22.272 0.005 1905 12 NaN NaN NaN NaN NaN NaN 20.711 -0.320 1906 1 NaN NaN NaN NaN NaN NaN 20.300 -0.132 1906 2 NaN NaN NaN NaN NaN NaN 20.167 -0.007 1906 3 9.887 -0.371 0 0 10.378 0.120 19.791 -0.531 1906 4 10.973 0.386 0 0 11.464 0.876 20.728 0.076 1906 5 10.871 -0.654 0 0 11.362 -0.164 21.412 -0.177 1906 6 12.090 -0.253 0 0 12.581 0.237 22.662 0.255 1906 7 12.204 -0.647 0 0 12.695 -0.156 22.738 -0.177 1906 8 12.697 -0.553 0 0 13.187 -0.063 23.143 -0.170 1906 9 12.210 -1.106 0 0 12.700 -0.615 23.229 -0.150 1906 10 11.941 -1.007 0 0 12.432 -0.516 23.194 0.183 1906 11 NaN NaN NaN NaN NaN NaN 22.211 -0.056 1906 12 NaN NaN NaN NaN NaN NaN 20.849 -0.183 1907 1 NaN NaN NaN NaN NaN NaN 20.924 0.492 1907 2 NaN NaN NaN NaN NaN NaN 20.127 -0.047 1907 3 NaN NaN NaN NaN NaN NaN 19.441 -0.881 1907 4 NaN NaN NaN NaN NaN NaN 19.822 -0.830 1907 5 NaN NaN NaN NaN NaN NaN 22.078 0.488 1907 6 NaN NaN NaN NaN NaN NaN 22.696 0.289 1907 7 NaN NaN NaN NaN NaN NaN 23.047 0.132 1907 8 NaN NaN NaN NaN NaN NaN 23.007 -0.307 1907 9 NaN NaN NaN NaN NaN NaN 23.481 0.102 1907 10 NaN NaN NaN NaN NaN NaN 22.617 -0.395 1907 11 9.504 -2.699 1 0 NaN NaN 21.849 -0.419 1907 12 NaN NaN NaN NaN NaN NaN 21.170 0.138 1908 1 8.002 -2.366 1 0 NaN NaN 19.618 -0.814 1908 2 8.796 -1.313 0 2 8.695 -1.415 19.597 -0.577 1908 3 NaN NaN NaN NaN NaN NaN 20.758 0.436 1908 4 8.933 -1.655 0 0 8.831 -1.757 19.989 -0.662 1908 5 10.503 -1.022 0 0 10.402 -1.124 21.062 -0.527 1908 6 11.310 -1.033 0 0 11.208 -1.135 21.516 -0.891 1908 7 12.558 -0.293 1 0 NaN NaN 21.936 -0.979 1908 8 12.865 -0.385 0 0 12.764 -0.486 22.640 -0.674 1908 9 NaN NaN NaN NaN NaN NaN 22.526 -0.853 1908 10 12.324 -0.624 1 0 NaN NaN 21.940 -1.072 1908 11 11.063 -1.141 0 0 10.961 -1.243 21.590 -0.677 1908 12 8.811 -2.156 0 0 8.710 -2.258 19.704 -1.327 1909 1 9.535 -0.832 0 0 9.434 -0.934 19.590 -0.842 1909 2 9.639 -0.471 0 0 9.538 -0.572 19.148 -1.026 1909 3 8.076 -2.182 1 0 NaN NaN 18.973 -1.349 1909 4 10.545 -0.043 0 0 10.443 -0.144 20.067 -0.585 1909 5 10.081 -1.445 0 0 9.979 -1.546 20.874 -0.716 1909 6 11.616 -0.727 1 0 NaN NaN 21.885 -0.522 1909 7 11.725 -1.126 0 0 11.624 -1.227 21.961 -0.954 1909 8 11.227 -2.023 0 0 11.125 -2.125 22.440 -0.874 1909 9 11.349 -1.967 1 0 NaN NaN 22.549 -0.830 1909 10 12.547 -0.401 0 0 12.446 -0.502 22.473 -0.539 1909 11 NaN NaN NaN NaN NaN NaN 21.914 -0.354 1909 12 11.162 0.194 0 0 11.061 0.093 20.699 -0.332 1910 1 8.833 -1.535 1 0 NaN NaN 19.111 -1.321 1910 2 9.213 -0.897 0 0 9.112 -0.998 19.050 -1.124 1910 3 NaN NaN NaN NaN NaN NaN 19.694 -0.628 1910 4 9.142 -1.446 0 0 9.040 -1.548 19.784 -0.868 1910 5 10.473 -1.053 0 0 10.371 -1.154 20.788 -0.801 1910 6 11.202 -1.142 0 0 11.100 -1.243 21.256 -1.152 1910 7 11.745 -1.106 0 0 11.644 -1.208 21.860 -1.055 1910 8 12.518 -0.732 0 0 12.416 -0.834 22.647 -0.667 1910 9 12.405 -0.911 0 0 12.303 -1.012 23.088 -0.292 1910 10 11.489 -1.459 0 0 11.387 -1.561 22.240 -0.772 1910 11 10.948 -1.255 0 0 10.847 -1.357 21.927 -0.341 1910 12 10.481 -0.487 0 0 10.379 -0.589 20.252 -0.780 1911 1 8.939 -1.429 0 0 8.837 -1.531 19.457 -0.975 1911 2 NaN NaN NaN NaN NaN NaN 19.125 -1.049 1911 3 9.760 -0.499 0 0 9.658 -0.600 19.937 -0.385 1911 4 NaN NaN NaN NaN NaN NaN 20.760 0.108 1911 5 11.697 0.171 0 0 11.595 0.070 21.351 -0.238 1911 6 12.652 0.308 0 0 12.550 0.207 21.760 -0.647 1911 7 13.683 0.831 0 0 13.581 0.730 22.601 -0.314 1911 8 14.845 1.595 0 0 14.744 1.494 23.340 0.026 1911 9 13.112 -0.204 0 0 13.010 -0.305 22.675 -0.704 1911 10 14.194 1.246 0 0 14.092 1.144 22.160 -0.852 1911 11 10.729 -1.474 0 0 10.628 -1.576 21.594 -0.674 1911 12 NaN NaN NaN NaN NaN NaN 20.266 -0.765 1912 1 10.069 -0.299 0 0 9.968 -0.400 19.971 -0.461 1912 2 10.022 -0.087 0 0 9.921 -0.189 19.820 -0.354 1912 3 7.847 -2.411 0 0 7.745 -2.513 18.861 -1.461 1912 4 8.797 -1.791 0 0 8.695 -1.893 19.914 -0.738 1912 5 11.155 -0.371 0 0 11.053 -0.472 21.055 -0.534 1912 6 12.300 -0.043 0 0 12.198 -0.145 21.757 -0.650 1912 7 12.345 -0.506 0 0 12.244 -0.608 22.595 -0.320 1912 8 13.182 -0.068 0 0 13.081 -0.169 23.373 0.059 1912 9 12.500 -0.816 0 0 12.398 -0.917 23.174 -0.205 1912 10 10.573 -2.375 0 0 10.471 -2.477 22.761 -0.250 1912 11 10.725 -1.479 0 0 10.623 -1.580 21.754 -0.513 1912 12 9.571 -1.397 0 0 9.469 -1.498 21.069 0.038 1913 1 NaN NaN NaN NaN NaN NaN 20.189 -0.243 1913 2 10.583 0.473 0 0 10.481 0.371 19.901 -0.272 1913 3 10.476 0.218 0 0 10.374 0.116 20.231 -0.091 1913 4 8.428 -2.159 0 0 8.327 -2.261 19.990 -0.662 1913 5 11.210 -0.316 0 0 11.108 -0.417 21.142 -0.447 1913 6 11.166 -1.178 0 0 11.064 -1.279 22.067 -0.341 1913 7 13.268 0.417 0 0 13.166 0.315 22.672 -0.243 1913 8 14.200 0.950 0 0 14.098 0.848 23.608 0.294 1913 9 13.640 0.324 0 0 13.538 0.223 23.278 -0.101 1913 10 15.581 2.633 0 0 15.479 2.531 23.420 0.408 1913 11 12.835 0.631 0 0 12.733 0.530 21.951 -0.316 1913 12 15.108 4.141 0 0 15.007 4.039 20.761 -0.271 1914 1 14.344 3.976 0 0 14.242 3.874 19.282 -1.150 1914 2 14.091 3.981 1 0 NaN NaN 20.140 -0.033 1914 3 NaN NaN NaN NaN NaN NaN 20.178 -0.144 1914 4 NaN NaN NaN NaN NaN NaN 20.742 0.091 1914 5 NaN NaN NaN NaN NaN NaN 21.020 -0.570 1914 6 NaN NaN NaN NaN NaN NaN 21.738 -0.669 1914 7 NaN NaN NaN NaN NaN NaN 22.548 -0.367 1914 8 NaN NaN NaN NaN NaN NaN 23.215 -0.099 1914 9 NaN NaN NaN NaN NaN NaN 23.185 -0.194 1914 10 NaN NaN NaN NaN NaN NaN 22.589 -0.422 1914 11 NaN NaN NaN NaN NaN NaN 22.020 -0.248 1914 12 NaN NaN NaN NaN NaN NaN 20.127 -0.904 1915 1 NaN NaN NaN NaN NaN NaN 19.659 -0.773 1915 2 NaN NaN NaN NaN NaN NaN 18.614 -1.560