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  • Earth Resources and Remote Sensing  (6)
  • CESM; DATE/TIME; Event label; M1_trap; M2_trap; M3_trap; M4_trap; Mooring (long time); MOORY; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; North Atlantic; Precipitation; Saharan dust; Sediment traps  (1)
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  • 1
    Publication Date: 2024-01-27
    Keywords: CESM; DATE/TIME; Event label; M1_trap; M2_trap; M3_trap; M4_trap; Mooring (long time); MOORY; NIOZ_UU; NIOZ Royal Netherlands Institute for Sea Research, and Utrecht University; North Atlantic; Precipitation; Saharan dust; Sediment traps
    Type: Dataset
    Format: text/tab-separated-values, 4368 data points
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  • 2
    Publication Date: 2019-07-13
    Description: Spaceborne lidar and passive sensors with multi-wavelength and polarization capabilities onboard the A-Train provide unprecedented opportunities of observing above-cloud aerosols and direct radiative forcing. Significant progress has been made in recent years in exploring these new aerosol remote sensing capabilities and generating unique datasets. The emerging observations will advance the understanding of aerosol climate forcing.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN6799 , Atmospheric Environment; 72; 36-40
    Format: application/pdf
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  • 3
    Publication Date: 2019-07-20
    Description: Mineral dust is an integral component in the Earth system that interacts with the system's many other components involving the energy, water, and carbon cycles. Dust also degrades air quality and adversely affects human health. These interactions and impacts are not contained in regions nearby dust sources, but can reach very far because of the long-range transport on intercontinental and global scales. Satellite's routine sampling and extensive coverage in time and space makes it an ideal platform to follow the dust from sources to sinks and assess its impacts along the long journey. Dust particles are unique in their coarse size and irregular shape, which makes it feasible to distinguish them from other aerosol particles using remote sensing techniques. This talk will provide an overview of what we have learned from analyzing advanced satellite remote sensing measurements during the EOS-era supplemented by in situ observations and model simulations, including dust source characterization, seasonal and interannual variability, trans-Pacific and trans-Atlantic transport and deposition, and dust influences on the radiation budget, air quality, and ecosystems. The talk will also discuss challenges and opportunities to further improve the dust characterization and assessment of the impacts via remote sensing techniques.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN70670 , CTWF International Symposium on Aerosol and Climate Change: Observations, Modeling & Interactions; Jul 15, 2019 - Jul 17, 2019; Beijing; China
    Format: application/pdf
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  • 4
    Publication Date: 2019-07-13
    Description: No abstract available
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN47964 , AeroCom; Oct 09, 2017 - Oct 13, 2017; Helsinki; Finland|AeroSat Workshops; Oct 09, 2017 - Oct 13, 2017; Helsinki; Finland
    Format: application/pdf
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  • 5
    Publication Date: 2019-07-19
    Description: This study compares aerosol optical depths (AOD) products from the Moderate Resolution Imaging Spectroradiometer (MODIS) and the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model and their integrated products with ground measurements across the eastern U.S. from March 1, 2000 to December 31, 2001. The Terra MODIS Level-3 (collection 4) AOD at 0.55 pm has better correlation, but consistently overestimates the values of the Aerosol Robotic Network (AERONET) measurements. GOCART has small biases for a 22-month integration, and slight positive biases are appeared for the cold season. These results are also supported by the comparison with the IMPROVE (Interagency Monitoring of Protected Visual Environments) light extinction index. The optimal interpolation improves the daily-scale RMSE from either MODIS or GOCART alone. However, the regional biases in the aerosol products constitute a major constraint to the optimal estimate of AOD.
    Keywords: Earth Resources and Remote Sensing
    Type: Geophysical Research Letters; 31; L21101
    Format: text
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  • 6
    Publication Date: 2019-07-19
    Description: Dust originating from Asian deserts and desertification areas can be transported regionally and globally to affect surface air quality, visibility, and radiation budget not only at immediate downwind locations (e.g., eastern Asia) but also regions far away from the sources (e.g., North America). Deposition of Asian dust to the North Pacific Ocean basin influences the ocean productivity. In this study, we will use the Goddard Chemistry Aerosol Radiation and Transport (GOCART) model, remote sensing data form satellite and from the ground-based network, and in-situ data from aircraft and surface observations to address the following questions: - What are the effects of Asian dust on the surface air quality and visibility over Asia and North America? - What are the seasonal and spatial variations of dust deposition to the North Pacific Ocean? How does the Asian dust affect surface radiation budget?
    Keywords: Earth Resources and Remote Sensing
    Type: Western Pacific Geophysics Meeting; Jul 22, 2006 - Jul 28, 2006; Beijing; China
    Format: text
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  • 7
    Publication Date: 2019-07-13
    Description: We present the first satellite-detected perturbations of the outgoing longwave radiation (OLR) associated with blowing snow events over the Antarctic ice sheet using data from Cloud-Aerosol Lidar with Orthogonal Polarization and Clouds and the Earth's Radiant Energy System. Significant cloud-free OLR differences are observed between the clear and blowing snow sky, with the sign andmagnitude depending on season and time of the day. During nighttime, OLRs are usually larger when blowing snow is present; the average difference in OLRs between without and with blowing snow over the East Antarctic Ice Sheet is about 5.2 W/m2 for the winter months of 2009. During daytime, in contrast, the OLR perturbation is usually smaller or even has the opposite sign. The observed seasonal variations and day-night differences in the OLR perturbation are consistent with theoretical calculations of the influence of blowing snow on OLR. Detailed atmospheric profiles are needed to quantify the radiative effect of blowing snow from the satellite observations.
    Keywords: Earth Resources and Remote Sensing
    Type: GSFC-E-DAA-TN12886 , Geophysical Research Letters; 41; 2; 730-735
    Format: application/pdf
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