Curtin University Homepage
  • Library
  • Help
    • Admin

    espace - Curtin’s institutional repository

    JavaScript is disabled for your browser. Some features of this site may not work without it.
    View Item 
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item
    • espace Home
    • espace
    • Curtin Research Publications
    • View Item

    Interannual variability of the earth’s spectral solar reflectance from measurements and simulations

    Access Status
    Open access via publisher
    Authors
    Jin, Z.
    Lukachin, C.
    Roberts, Y.
    Wielicki, B.
    Feldman, D.
    Collins, Bill
    Date
    2014
    Type
    Journal Article
    
    Metadata
    Show full item record
    Citation
    Jin, Z. and Lukachin, C. and Roberts, Y. and Wielicki, B. and Feldman, D. and Collins, B. 2014. Interannual variability of the earth’s spectral solar reflectance from measurements and simulations. Journal of Geophysical Research: Planets. 119 (8): pp. 4458-4470.
    Source Title
    Journal of Geophysical Research: Planets
    DOI
    10.1002/2013JD021056
    ISSN
    0148-0227
    School
    School of Earth and Planetary Sciences (EPS)
    URI
    http://hdl.handle.net/20.500.11937/61267
    Collection
    • Curtin Research Publications
    Abstract

    The mean solar spectral reflectance averaged over large spatiotemporal scales is an important climate benchmark data product proposed for the Climate Absolute Radiance and Refractivity Observatory mission. The interannual variability of these reflectances over the ocean is examined through satellite-measured hyperspectral data and through satellite instrument emulation based on model simulation. Such large domain-averaged reflectances show small interannual variation, usually under few percent, depending on the latitude region and spatiotemporal scale used for averaging. Although the interannual variation is usually less than the absolute accuracy ofmodel calculation, themodel simulated interannual variations are consistent with the measurements because most of the modeling errors in the reflectance averaged in large climate domains are systematic and are canceled out in the interannual difference spectra. The interannual variability is also shown to decrease as the temporal and spatial scales increase. Both the observational data and the model simulations show that the natural variability in the annualmean reflectance is about 50% lower than that in the monthly mean over all spectra. The interannual variability determined from observations in large climate domains also compares favorably with that from the climate Observing System Simulation Experiment based on climatemodel simulations; both show a standard deviation of less than 1% of the mean reflectance across all spectra for global and annual average over the ocean.

    Related items

    Showing items related by title, author, creator and subject.

    • Assessing regional climate simulations of the last 30 years (1982–2012) over Ganges–Brahmaputra–Meghna River Basin
      Khandu; Awange, Joseph; Anyah, R.; Kuhn, M.; Fukuda, Y. (2016)
      The Ganges–Brahmaputra–Meghna (GBM) River Basin presents a spatially diverse hydrological regime due to it’s complex topography and escalating demand for freshwater resources. This presents a big challenge in applying the ...
    • Understanding Changes in Terrestrial Water Storage over West Africa 2 between 2002 and 2014
      Ndehedehe, C.; Awange, J.; Agutu, N.; Kuhn, Michael; Heck, B. (2015)
      With the vast water resources of West Africa coming under threat due to the impacts of climate variability and human influence, the need to understand its terrestrial water storage (TWS) changes becomes very important. ...
    • Evaluation and adaptation of a regional climate model for the Horn of Africa: rainfall climatology and interannual variability
      Segele, Z.; Leslie, Lance; Lamb, P. (2009)
      This study evaluates the ability of the Abdus Salam International Center for Theoretical Physics (ICTP) version 3 Regional Climate Model (RegCM3) to reproduce the observed rainfall amounts and distribution over the ...
    Advanced search

    Browse

    Communities & CollectionsIssue DateAuthorTitleSubjectDocument TypeThis CollectionIssue DateAuthorTitleSubjectDocument Type

    My Account

    Admin

    Statistics

    Most Popular ItemsStatistics by CountryMost Popular Authors

    Follow Curtin

    • 
    • 
    • 
    • 
    • 

    CRICOS Provider Code: 00301JABN: 99 143 842 569TEQSA: PRV12158

    Copyright | Disclaimer | Privacy statement | Accessibility

    Curtin would like to pay respect to the Aboriginal and Torres Strait Islander members of our community by acknowledging the traditional owners of the land on which the Perth campus is located, the Whadjuk people of the Nyungar Nation; and on our Kalgoorlie campus, the Wongutha people of the North-Eastern Goldfields.