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    Author(s): Ryan J. Longman; Thomas W. Giambelluca; Michael A. Nullet; Abby G. Frazier; Kevin Kodama; Shelley D. Crausbay; Paul D. Krushelnycky; Susan Cordell; Martyn P. Clark; Andy J. Newman; Jeffrey R. Arnold
    Date: 2018
    Source: Scientific Data
    Publication Series: Scientific Journal (JRNL)
    Station: Pacific Southwest Research Station
    PDF: Download Publication  (3.0 MB)


    Long-term, accurate observations of atmospheric phenomena are essential for a myriad of applications, including historic and future climate assessments, resource management, and infrastructure planning. In Hawai‘i, climate data are available from individual researchers, local, State, and Federal agencies, and from large electronic repositories such as the National Centers for Environmental Information (NCEI). Researchers attempting to make use of available data are faced with a series of challenges that include: (1) identifying potential data sources; (2) acquiring data; (3) establishing data quality assurance and quality control (QA/QC) protocols; and (4) implementing robust gap filling techniques. This paper addresses these challenges by providing: (1) a summary of the available climate data in Hawai‘i including a detailed description of the various meteorological observation networks and data accessibility, and (2) a quality controlled meteorological dataset across the Hawaiian Islands for the 25-year period 1990-2014. The dataset draws on observations from 471 climate stations and includes rainfall, maximum and minimum surface air temperature, relative humidity, wind speed, downward shortwave and longwave radiation data.

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    Longman, Ryan J.; Giambelluca, Thomas W.; Nullet, Michael A.; Frazier, Abby G.; Kodama, Kevin; Crausbay, Shelley D.; Krushelnycky, Paul D.; Cordell, Susan; Clark, Martyn P.; Newman, Andy J.; Arnold, Jeffrey R. 2018. Compilation of climate data from heterogeneous networks across the Hawaiian Islands. Scientific Data. 5: 180012.


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    climate data, monitoring, Hawai‘i, quality control, atmospheric dynamics, environmental impact, hydrology

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