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Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations

Wanjuan Song, Yuri Knyazikhin, Guoyong Wen, Alexander Marshak, Matti Mõttus, Kai Yan, Bin Yang, Baodong Xu, Taejin Park, Chi Chen, Yelu Zeng, Guangjian Yan (+2 others)
2018 Remote Sensing  
Analyses of ERTI-based Earth component reflectivity indicate that the disagreement between EPIC and EOS estimates depends on the sampling area, observation time and vary between -10% and 23%.  ...  The difference between the EPIC and EOS estimates is an uncertainty in Earth's reflectivity.  ...  Sampling Approaches of the Earth Orbiting Satellites (EOS) Unlike observations from deep space points, low-earth-orbiting (LEO) satellites acquire radiance data over swaths at a specific LST, while geostationary  ... 
doi:10.3390/rs10101594 fatcat:wtifqpr5k5h57dcxiq4dt6gguq

Earth Imaging From the Surface of the Moon With a DSCOVR/EPIC-Type Camera

Nick Gorkavyi, Simon Carn, Matt DeLand, Yuri Knyazikhin, Nick Krotkov, Alexander Marshak, Ranga Myneni, Alexander Vasilkov
2021 Frontiers in Remote Sensing  
Deploying an analog of EPIC on the Moon's surface would offer a unique opportunity to image the full range of Earth phases, including observing ocean/cloud glint reflection for different phase angles;  ...  The Earth Polychromatic Imaging Camera (EPIC) on the Deep Space Climate Observatory (DSCOVR) satellite observes the entire Sun-illuminated Earth from sunrise to sunset from the L1 Sun-Earth Lagrange point  ...  Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations.  ... 
doi:10.3389/frsen.2021.724074 fatcat:ehk42sov7fcrrj52zanwtdzkva

Vegetation Angular Signatures of Equatorial Forests From DSCOVR EPIC and Terra MISR Observations

Xiangnan Ni, Yuri Knyazikhin, Yuanheng Sun, Xiaojun She, Wei Guo, Oleg Panferov, Ranga B. Myneni
2021 Frontiers in Remote Sensing  
A canopy radiation model parameterized in terms of canopy spectral invariants underlies the theoretical basis for joining Terra MISR and DSCOVR EPIC data.  ...  Terra platform and near backscattering reflectance data from the Earth Polychromatic Imaging Camera (EPIC) onboard NOAA's Deep Space Climate Observatory (DSCOVR).  ...  Implications of Whole-Disc DSCOVR EPIC Spectral Observations for Estimating Earth's Spectral Reflectivity Based on Low-Earth-Orbiting and Geostationary Observations.  ... 
doi:10.3389/frsen.2021.766805 fatcat:4nkpet5a55brzechl2kv6euq6u

Simulation of Earth's Outward Radiative Flux and Its Radiance in Moon-Based View

Haolu Shang, Yixing Ding, Huadong Guo, Guang Liu, Xiaoyu Liu, Jie Wu, Lei Liang, Hao Jiang, Guoqiang Chen
2021 Remote Sensing  
Our simulations prove that Moon-based observation is a valuable source for Earth observation and that the orbital information of exoplanets could be derived from the radiance observation.  ...  Our simulation shows that the specific viewing geometry controls the periodical variations in the Moon-based view radiative flux and its radiance, which reflect the orbital period of the Moon.  ...  We also thank the Copernicus Climate Change Service (C3S) and ECMWF for supplying the ERA5 free of cost, as well as a nice toolbox to process and analyze ERA5 online.  ... 
doi:10.3390/rs13132535 fatcat:qniiodzafvagvap37pynsawpym

Observation and modeling of the historic "Godzilla" African dust intrusion into the Caribbean Basin and the southern US in June 2020 [article]

Hongbin Yu, Qian Tan, Lillian Zhou, Yaping Zhou, Huisheng Bian, Mian Chin, Claire L. Ryder, Yaswant Pradhan, Yingxi Shi, Qianqian Song, Zhibo Zhang, Peter R. Colarco (+6 others)
2022
However, the anomalous strength and northern shift of the North Atlantic Subtropical High (NASH) together with the Azores low formed a closed circulation pattern that allowed for accumulation of the dust  ...  ground-based observations (including MODIS, CALIOP, SEVIRI, AERONET, and EPA Air Quality network) and the NASA GEOS global aerosol transport model.  ...  We thank the NASA Center for Climate Simulation for their support of the GEOS model simulation.  ... 
doi:10.13016/m2itvj-g0sl fatcat:4v7t2dovlndavm3crow3ohtj2m