Next Article in Journal
A Continuous Change Tracker Model for Remote Sensing Time Series Reconstruction
Previous Article in Journal
Identification of Coupling Relationship between Ecosystem Services and Urbanization for Supporting Ecological Management: A Case Study on Areas along the Yellow River of Henan Province
 
 
Article

Estimates of Hyperspectral Surface and Underwater UV Planar and Scalar Irradiances from OMI Measurements and Radiative Transfer Computations

1
Science Systems and Applications, Inc., 10210 Greenbelt Road, Lanham, MD 20706, USA
2
NASA Goddard Space Flight Center, Greenbelt, MD 20771, USA
*
Author to whom correspondence should be addressed.
Academic Editors: Kai Qin, Zhengqiang Li, Zhongwei Huang, Chi Li, Han Wang, Jie Luo and Tianhe Wang
Remote Sens. 2022, 14(9), 2278; https://doi.org/10.3390/rs14092278
Received: 1 April 2022 / Revised: 1 May 2022 / Accepted: 3 May 2022 / Published: 9 May 2022
(This article belongs to the Topic Advances in Environmental Remote Sensing)
Quantitative assessment of the UV effects on aquatic ecosystems requires an estimate of the in-water hyperspectral radiation field. Solar UV radiation in ocean waters is estimated on a global scale by combining extraterrestrial solar irradiance from the Total and Spectral Solar Irradiance Sensor (TSIS-1), satellite estimates of cloud/surface reflectivity, ozone from the Ozone Monitoring Instrument (OMI) and in-water chlorophyll concentration from the Moderate Resolution Imaging Spectroradiometer (MODIS) with radiative transfer computations in the ocean-atmosphere system. A comparison of the estimates of collocated OMI-derived surface irradiance with Marine Optical Buoy (MOBY) measurements shows a good agreement within 5% for different seasons. To estimate scalar irradiance at the ocean surface and in water, we propose scaling the planar irradiance, calculated from satellite observation, on the basis of Hydrolight computations. Hydrolight calculations show that the diffuse attenuation coefficients of scalar and planar irradiance with depth are quite close to each other. That is why the differences between the planar penetration and scalar penetration depths are small and do not exceed a couple of meters. A dominant factor defining the UV penetration depths is chlorophyll concentration. There are other constituents in water that absorb in addition to chlorophyll; the absorption from these constituents can be related to that of chlorophyll in Case I waters using an inherent optical properties (IOP) model. Other input parameters are less significant. The DNA damage penetration depths vary from a few meters in areas of productive waters to about 30–35 m in the clearest waters. A machine learning approach (an artificial neural network, NN) was developed based on the full physical algorithm for computational efficiency. The NN shows a very good performance in predicting the penetration depths (within 2%). View Full-Text
Keywords: UV satellite measurements; radiative transfer computations; underwater irradiance UV satellite measurements; radiative transfer computations; underwater irradiance
Show Figures

Figure 1

MDPI and ACS Style

Vasilkov, A.; Krotkov, N.; Haffner, D.; Fasnacht, Z.; Joiner, J. Estimates of Hyperspectral Surface and Underwater UV Planar and Scalar Irradiances from OMI Measurements and Radiative Transfer Computations. Remote Sens. 2022, 14, 2278. https://doi.org/10.3390/rs14092278

AMA Style

Vasilkov A, Krotkov N, Haffner D, Fasnacht Z, Joiner J. Estimates of Hyperspectral Surface and Underwater UV Planar and Scalar Irradiances from OMI Measurements and Radiative Transfer Computations. Remote Sensing. 2022; 14(9):2278. https://doi.org/10.3390/rs14092278

Chicago/Turabian Style

Vasilkov, Alexander, Nickolay Krotkov, David Haffner, Zachary Fasnacht, and Joanna Joiner. 2022. "Estimates of Hyperspectral Surface and Underwater UV Planar and Scalar Irradiances from OMI Measurements and Radiative Transfer Computations" Remote Sensing 14, no. 9: 2278. https://doi.org/10.3390/rs14092278

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Back to TopTop