% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 25635 % Primary Name: HAHAIONE VALLEY % Record Type: TAVG % Country: United States % State: HI % Latitude: 21.30000 +/- 0.00005 % Longitude: -157.71670 +/- 0.00005 % Elevation (m): 9.10 +/- 0.05 % # of Months: 50 % % Alternate Names: Missing Station ID - 510800 % % IDs: coop - 510800 % ghcnd - USC00510800 % % Sources: US Cooperative Summary of the Day % Global Historical Climatology Network - Daily % US Cooperative Summary of the Month % % Site Hash: 50900e36e9af4d9d2bf5a65e71d649a1 % Raw Data Hash: 4e3fbbf161226c3b783371c130256685 % Adj Data Hash: ba5f1ce35696128e405df9984c0ad3cc % % 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 1929 11 NaN NaN NaN NaN NaN NaN 23.047 -0.716 1929 12 NaN NaN NaN NaN NaN NaN 21.378 -0.958 1930 1 NaN NaN NaN NaN NaN NaN 20.710 -0.901 1930 2 NaN NaN NaN NaN NaN NaN 22.048 0.566 1930 3 NaN NaN NaN NaN NaN NaN 21.459 -0.404 1930 4 NaN NaN NaN NaN NaN NaN 21.645 -0.732 1930 5 NaN NaN NaN NaN NaN NaN 23.643 0.136 1930 6 NaN NaN NaN NaN NaN NaN 24.233 -0.248 1930 7 NaN NaN NaN NaN NaN NaN 24.996 -0.022 1930 8 NaN NaN NaN NaN NaN NaN 25.769 0.339 1930 9 NaN NaN NaN NaN NaN NaN 25.809 0.365 1930 10 NaN NaN NaN NaN NaN NaN 24.789 0.058 1930 11 24.222 -0.163 0 0 24.222 -0.163 23.739 -0.024 1930 12 23.778 0.820 0 0 23.778 0.820 22.635 0.299 1931 1 22.889 0.656 0 0 22.889 0.656 21.689 0.078 1931 2 23.222 1.118 0 0 23.222 1.118 21.678 0.196 1931 3 23.667 1.182 0 0 23.667 1.182 22.050 0.187 1931 4 23.000 0.001 0 0 23.000 0.001 21.932 -0.445 1931 5 23.778 -0.351 0 0 23.778 -0.351 23.310 -0.197 1931 6 25.556 0.453 0 0 25.556 0.453 24.688 0.207 1931 7 25.556 -0.085 0 0 25.556 -0.085 24.851 -0.167 1931 8 26.000 -0.052 0 0 26.000 -0.052 25.168 -0.262 1931 9 25.778 -0.288 0 0 25.778 -0.288 25.114 -0.330 1931 10 25.556 0.203 0 0 25.556 0.203 24.688 -0.042 1931 11 23.833 -0.552 0 0 23.833 -0.552 23.635 -0.128 1931 12 21.222 -1.735 0 0 21.222 -1.735 21.184 -1.152 1932 1 22.444 0.211 0 0 22.444 0.211 22.341 0.730 1932 2 19.556 -2.549 0 0 19.556 -2.549 21.042 -0.440 1932 3 19.889 -2.596 0 0 19.889 -2.596 21.509 -0.353 1932 4 NaN NaN NaN NaN NaN NaN 22.342 -0.035 1932 5 24.333 0.205 0 0 24.333 0.205 23.115 -0.392 1932 6 25.222 0.119 0 0 25.222 0.119 23.934 -0.547 1932 7 25.111 -0.529 0 0 25.111 -0.529 24.095 -0.923 1932 8 25.722 -0.330 0 0 25.722 -0.330 24.579 -0.851 1932 9 25.667 -0.399 0 0 25.667 -0.399 24.702 -0.742 1932 10 25.667 0.314 0 0 25.667 0.314 24.643 -0.087 1932 11 24.667 0.282 0 0 24.667 0.282 23.918 0.155 1932 12 23.222 0.265 0 0 23.222 0.265 22.598 0.262 1933 1 23.111 0.878 0 0 23.111 0.878 21.929 0.318 1933 2 21.833 -0.271 0 0 21.833 -0.271 21.452 -0.030 1933 3 21.667 -0.818 0 0 21.667 -0.818 21.308 -0.554 1933 4 22.222 -0.777 0 0 22.222 -0.777 21.649 -0.728 1933 5 24.500 0.371 0 0 24.500 0.371 23.001 -0.505 1933 6 25.333 0.230 0 0 25.333 0.230 23.508 -0.973 1933 7 25.556 -0.085 0 0 25.556 -0.085 23.761 -1.257 1933 8 25.778 -0.274 0 0 25.778 -0.274 24.023 -1.407 1933 9 26.111 0.045 0 0 26.111 0.045 24.446 -0.997 1933 10 25.111 -0.241 0 0 25.111 -0.241 23.940 -0.790 1933 11 23.778 -0.607 0 0 23.778 -0.607 22.378 -1.385 1933 12 23.611 0.653 0 0 23.611 0.653 22.517 0.181 1934 1 23.111 0.878 0 0 23.111 0.878 22.393 0.781 1934 2 20.722 -1.382 0 0 20.722 -1.382 21.643 0.161 1934 3 21.000 -1.485 0 0 21.000 -1.485 21.529 -0.333 1934 4 20.222 -2.777 0 0 20.222 -2.777 20.716 -1.661 1934 5 22.889 -1.240 0 0 22.889 -1.240 23.321 -0.186 1934 6 24.111 -0.992 0 0 24.111 -0.992 24.640 0.159 1934 7 24.833 -0.807 0 0 24.833 -0.807 25.050 0.032 1934 8 25.444 -0.608 0 0 25.444 -0.608 25.788 0.358 1934 9 NaN NaN NaN NaN NaN NaN 25.738 0.294 1934 10 NaN NaN NaN NaN NaN NaN 25.041 0.311 1934 11 NaN NaN NaN NaN NaN NaN 24.222 0.459 1934 12 23.792 0.835 1 0 NaN NaN 23.097 0.762 1935 1 21.083 -1.150 0 0 21.083 -1.150 21.135 -0.476 1935 2 NaN NaN NaN NaN NaN NaN 21.065 -0.417 1935 3 21.764 -0.721 1 0 NaN NaN 21.606 -0.256 1935 4 NaN NaN NaN NaN NaN NaN 21.701 -0.676 1935 5 24.840 0.711 1 0 NaN NaN 23.848 0.342 1935 6 25.244 0.141 1 0 NaN NaN 24.571 0.090 1935 7 NaN NaN NaN NaN NaN NaN 24.958 -0.060 1935 8 NaN NaN NaN NaN NaN NaN 25.289 -0.141 1935 9 NaN NaN NaN NaN NaN NaN 25.243 -0.201 1935 10 NaN NaN NaN NaN NaN NaN 24.561 -0.169 1935 11 NaN NaN NaN NaN NaN NaN 23.545 -0.217 1935 12 NaN NaN NaN NaN NaN NaN 22.860 0.524 1936 1 NaN NaN NaN NaN NaN NaN 22.387 0.776 1936 2 NaN NaN NaN NaN NaN NaN 21.420 -0.062 1936 3 NaN NaN NaN NaN NaN NaN 21.553 -0.310 1936 4 NaN NaN NaN NaN NaN NaN 21.802 -0.575 1936 5 NaN NaN NaN NaN NaN NaN 22.630 -0.877 1936 6 NaN NaN NaN NaN NaN NaN 24.236 -0.245