% This file contains a station summary listing for a temperature % station in the Berkeley Earth database. This station is identified as: % % Berkeley ID#: 171025 % Primary Name: WAIKOLU VALLEY HAWAII % Record Type: TAVG % Country: United States % State: HI % Latitude: 21.14190 +/- 0.00005 % Longitude: -156.92220 +/- 0.00005 % Elevation (m): 152.40 +/- 0.50 % # of Months: 70 % % IDs: ghcnd - USR0000HWAI % % Sources: Global Historical Climatology Network - Daily % % Site Hash: d3b37ee3cbb86526257b99ded458bc96 % Raw Data Hash: 72e25bf704a252e5699047f13b975830 % Adj Data Hash: 6967c197bb9cacc3605914d0b50cc9d1 % % 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 1992 3 NaN NaN NaN NaN NaN NaN 21.517 0.549 1992 4 NaN NaN NaN NaN NaN NaN 21.922 0.584 1992 5 NaN NaN NaN NaN NaN NaN 23.153 0.691 1992 6 NaN NaN NaN NaN NaN NaN 24.564 1.000 1992 7 NaN NaN NaN NaN NaN NaN 24.914 0.706 1992 8 NaN NaN NaN NaN NaN NaN 25.668 0.961 1992 9 NaN NaN NaN NaN NaN NaN 25.848 1.034 1992 10 NaN NaN NaN NaN NaN NaN 25.345 1.004 1992 11 NaN NaN NaN NaN NaN NaN 24.300 0.801 1992 12 NaN NaN NaN NaN NaN NaN 23.547 1.468 1993 1 NaN NaN NaN NaN NaN NaN 21.005 -0.213 1993 2 NaN NaN NaN NaN NaN NaN 20.420 -0.420 1993 3 21.650 0.981 1 0 NaN NaN 21.232 0.265 1993 4 21.623 0.584 0 0 22.058 1.019 22.444 1.106 1993 5 21.919 -0.244 0 0 22.355 0.191 22.740 0.278 1993 6 23.283 0.018 0 0 23.719 0.453 24.248 0.684 1993 7 23.870 -0.040 0 0 24.305 0.396 24.647 0.439 1993 8 24.102 -0.307 0 0 24.537 0.128 25.369 0.662 1993 9 24.227 -0.289 0 0 24.662 0.147 25.433 0.620 1993 10 23.468 -0.574 0 0 23.903 -0.139 24.854 0.513 1993 11 22.018 -1.183 0 0 22.454 -0.748 23.517 0.017 1993 12 21.665 -0.115 0 0 22.100 0.320 22.365 0.286 1994 1 19.573 -1.347 1 0 NaN NaN 20.860 -0.358 1994 2 21.420 0.878 0 0 21.855 1.313 21.635 0.794 1994 3 20.885 0.216 0 0 21.321 0.652 21.290 0.322 1994 4 NaN NaN NaN NaN NaN NaN 21.751 0.413 1994 5 22.611 0.448 0 0 23.047 0.883 23.056 0.594 1994 6 22.948 -0.317 0 0 23.384 0.118 23.943 0.379 1994 7 24.540 0.631 0 0 24.976 1.066 25.139 0.930 1994 8 25.015 0.606 0 0 25.450 1.041 25.797 1.090 1994 9 25.220 0.705 0 0 25.655 1.140 25.950 1.136 1994 10 25.158 1.116 0 0 25.593 1.551 25.315 0.974 1994 11 23.645 0.444 1 0 NaN NaN 24.357 0.857 1994 12 21.297 -0.483 0 0 21.732 -0.048 22.368 0.289 1995 1 NaN NaN NaN NaN NaN NaN 21.481 0.263 1995 2 21.507 0.965 0 0 21.942 1.401 21.121 0.280 1995 3 22.060 1.391 0 0 22.495 1.826 21.858 0.891 1995 4 21.402 0.362 0 0 21.837 0.798 21.780 0.442 1995 5 22.180 0.017 0 0 22.615 0.452 22.638 0.176 1995 6 23.727 0.461 0 0 24.162 0.896 24.116 0.552 1995 7 23.829 -0.081 0 0 24.264 0.355 24.767 0.559 1995 8 24.205 -0.204 0 0 24.640 0.232 25.120 0.413 1995 9 25.407 0.891 0 4 25.128 0.612 25.325 0.511 1995 10 24.121 0.079 0 0 23.842 -0.200 25.100 0.760 1995 11 24.192 0.990 0 0 23.913 0.711 24.755 1.255 1995 12 24.232 2.452 0 0 23.953 2.173 23.660 1.581 1996 1 22.840 1.921 0 0 22.561 1.642 22.534 1.316 1996 2 20.900 0.358 0 0 20.621 0.079 21.000 0.160 1996 3 21.160 0.491 0 0 20.881 0.212 20.797 -0.171 1996 4 22.902 1.862 0 0 22.623 1.583 22.733 1.395 1996 5 23.249 1.086 1 0 NaN NaN 23.428 0.966 1996 6 24.613 1.348 0 0 24.334 1.069 24.732 1.167 1996 7 25.016 1.106 0 0 24.737 0.827 25.342 1.133 1996 8 25.594 1.185 0 0 25.315 0.906 25.641 0.934 1996 9 25.862 1.346 0 0 25.583 1.067 25.682 0.868 1996 10 26.179 2.137 0 0 25.900 1.858 25.823 1.482 1996 11 23.858 0.656 0 0 23.579 0.377 24.372 0.872 1996 12 22.300 0.520 0 0 22.021 0.241 22.219 0.140 1997 1 22.070 1.151 0 0 21.791 0.872 21.482 0.264 1997 2 NaN NaN NaN NaN NaN NaN 22.075 1.234 1997 3 22.726 2.057 0 0 22.447 1.778 22.131 1.164 1997 4 23.190 2.150 1 0 NaN NaN 22.230 0.892 1997 5 21.940 -0.223 0 0 21.661 -0.502 22.422 -0.040 1997 6 23.712 0.446 0 0 23.433 0.167 24.457 0.892 1997 7 24.405 0.495 0 0 24.126 0.216 24.808 0.599 1997 8 25.381 0.972 0 0 25.102 0.693 25.477 0.770 1997 9 25.346 0.831 0 0 25.067 0.552 25.828 1.014 1997 10 25.463 1.421 0 0 25.184 1.142 25.373 1.033 1997 11 22.908 -0.293 0 0 22.629 -0.572 23.554 0.054 1997 12 21.584 -0.197 0 0 21.305 -0.476 21.930 -0.149 1998 1 22.616 1.697 0 0 22.337 1.418 21.284 0.066 1998 2 22.027 1.485 0 0 21.748 1.206 21.051 0.211 1998 3 22.569 1.900 0 0 22.290 1.621 21.763 0.795 1998 4 21.368 0.329 0 0 21.089 0.050 21.442 0.104 1998 5 21.908 -0.255 0 0 21.629 -0.534 21.982 -0.480 1998 6 22.404 -0.862 0 0 22.125 -1.141 23.177 -0.387 1998 7 23.647 -0.262 0 0 23.368 -0.541 24.046 -0.163 1998 8 24.621 0.212 0 0 24.342 -0.067 25.074 0.366 1998 9 23.990 -0.525 0 0 23.711 -0.804 24.878 0.065 1998 10 23.890 -0.152 0 0 23.611 -0.431 24.580 0.240 1998 11 22.953 -0.248 0 0 22.674 -0.527 23.985 0.485 1998 12 NaN NaN NaN NaN NaN NaN 22.372 0.293 1999 1 22.011 1.092 0 0 21.732 0.813 21.616 0.398 1999 2 22.484 1.942 0 0 22.205 1.663 21.235 0.395 1999 3 21.674 1.005 0 0 21.395 0.726 21.368 0.400 1999 4 21.550 0.511 1 0 NaN NaN 21.574 0.236 1999 5 NaN NaN NaN NaN NaN NaN 22.907 0.445 1999 6 NaN NaN NaN NaN NaN NaN 23.654 0.090 1999 7 NaN NaN NaN NaN NaN NaN 24.038 -0.170 1999 8 NaN NaN NaN NaN NaN NaN 24.730 0.023 1999 9 NaN NaN NaN NaN NaN NaN 24.806 -0.008 1999 10 NaN NaN NaN NaN NaN NaN 24.380 0.039 1999 11 NaN NaN NaN NaN NaN NaN 23.775 0.275 1999 12 NaN NaN NaN NaN NaN NaN 22.435 0.356 2000 1 NaN NaN NaN NaN NaN NaN 20.989 -0.229 2000 2 NaN NaN NaN NaN NaN NaN 21.595 0.755 2000 3 NaN NaN NaN NaN NaN NaN 21.988 1.020 2000 4 NaN NaN NaN NaN NaN NaN 21.342 0.004