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Effect of Spectrally Varying Albedo of Vegetation Surfaces on Shortwave Radiation Fluxes and Aerosol Direct Radiative Forcing
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External Online Source: doi:10.5194/amt-5-3055-2012
Author and Affiliation:
Zhu, L.(Maryland Univ. Baltimore County, Dept. of Physics and Joint Center for Earth Systems Technology, Baltimore, MD, United States);
Martins, J. V.(Maryland Univ. Baltimore County, Dept. of Physics and Joint Center for Earth Systems Technology, Baltimore, MD, United States);
Yu, H.(Maryland Univ., Earth System Science Interdisciplinary Ctr. (ESSIC), College Park, MD, United States)
Abstract: This study develops an algorithm for representing detailed spectral features of vegetation albedo based on Moderate Resolution Imaging Spectrometer (MODIS) observations at 7 discrete channels, referred to as the MODIS Enhanced Vegetation Albedo (MEVA) algorithm. The MEVA algorithm empirically fills spectral gaps around the vegetation red edge near 0.7 micrometers and vegetation water absorption features at 1.48 and 1.92 micrometers which cannot be adequately captured by the MODIS 7 channels. We then assess the effects of applying MEVA in comparison to four other traditional approaches to calculate solar fluxes and aerosol direct radiative forcing (DRF) at the top of atmosphere (TOA) based on the MODIS discrete reflectance bands. By comparing the DRF results obtained through the MEVA method with the results obtained through the other four traditional approaches, we show that filling the spectral gap of the MODIS measurements around 0.7 micrometers based on the general spectral behavior of healthy green vegetation leads to significant improvement in the instantaneous aerosol DRF at TOA (up to 3.02Wm(exp -2) difference or 48% fraction of the aerosol DRF, .6.28Wm(exp -2), calculated for high spectral resolution surface reflectance from 0.3 to 2.5 micrometers for deciduous vegetation surface). The corrections of the spectral gaps in the vegetation spectrum in the near infrared, again missed by the MODIS reflectances, also contributes to improving TOA DRF calculations but to a much lower extent (less than 0.27Wm(exp -2), or about 4% of the instantaneous DRF). Compared to traditional approaches, MEVA also improves the accuracy of the outgoing solar flux between 0.3 to 2.5 micrometers at TOA by over 60Wm(exp -2) (for aspen 3 surface) and aerosol DRF by over 10Wm(exp -2) (for dry grass). Specifically, for Amazon vegetation types, MEVA can improve the accuracy of daily averaged aerosol radiative forcing in the spectral range of 0.3 to 2.5 micrometers at equator at the equinox by 3.7Wm(exp -2). These improvements indicate that MEVA can contribute to regional climate studies over vegetated areas and can help to improve remote sensing-based studies of climate processes and climate change.
Publication Date: Dec 12, 2012
Document ID:
(Acquired May 13, 2013)
Report/Patent Number: GSFC-E-DAA-TN8037
Document Type: Journal Article
Publication Information: Atmospheric Measurement Techniques; Volume 5; No. 12; 3055-3067
Contract/Grant/Task Num: NNX08AJ78G; NNX10AT36A; NNX12AD03A
Financial Sponsor: NASA Goddard Space Flight Center; Greenbelt, MD, United States
Organization Source: Maryland Univ. Baltimore County; Baltimore, MD, United States
Description: 13p; In English; Original contains color illustrations
Distribution Limits: Unclassified; Publicly available; Unlimited
Rights: Copyright; Distribution under U.S. Government purpose rights; under NASA grants NNX08AJ78G and Cooperative Agree
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