HelioWebA. M. Sayer
flowchart
A[A. M. Sayer]
AC["Associated Concepts (22)"]
AW["Authored Works (14)"]
CA["Linked Co-Authors (28)"]
CI["Linked Collaborating Institutions (17)"]
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AW== author ==>CA
AW== affil ==>CI
click AC "#associated-concepts"
click AW "#authored-works"
click CA "#co-authors"
click CI "#collaborating-institutions"
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- ORCiD
- https://orcid.org/0000-0001-9149-1789
- OpenAlex ID
- https://openalex.org/A5035968853 (API record)
Associated Concepts [?]
- Geography
- Physics
- Geology
- Environmental science
- Meteorology
- Chemistry
- Organic chemistry
- Remote sensing
- Aerosol
- Engineering
- Astronomy
- Aerospace engineering
- Satellite
- Computer science
- Optics
- Quantum mechanics
- Biology
- Atmospheric sciences
- Mathematics
- Ecology
- Climatology
- AERONET
Authored Works
sorted by decreasing year, and then by display-name
- Improved Deep Blue Aerosol Data Records from SNPP/NOAA-20 VIIRS and Beyond
- Adaptive Data Quality Control and Uncertainty Analysis in Advancing Multi-angle Polarimetric Remote Sensing for PACE Mission
- Retrieval of aerosol properties from multi-angular satellite observations: achievements, challenges and perspectives.
- Introducing Version 2 VIIRS Deep Blue aerosol products
- Improving simultaneous aerosol and ocean color inversions of multi-angle polarimetric measurements through adaptive data screening and deep learning
- Effects of COVID-19 Lockdowns on Fine Particulate Matter Concentrations
- Diurnal Cycles of Aerosols Derived from Deep Blue Aerosol Retrievals Using ABI and AHI
- Cross-calibration of NOAA-20 and SNPP VIIRS moderate-resolution reflective solar bands over water scenes
- Cloud top pressure retrievals from Sentinel 3 OLCI as a proxy for the future PACE OCI
- Assessment of Satellite-Derived Smoke Height Boundary Layer Ratio During Extreme Smoke Events in the Western U.S.
- Aerosol Retrievals of Simulated Polarimetric Observations Derived from the GEOS-5 Nature Run: Exploring Polarimeter Performance Under Complex Conditions
- A multi-dataset evaluation of smoke pollution transport over central Oklahoma
- A critical look at the spaceborne observations of aerosol column properties and vertical height during the 2018 summertime dust outbreak over Central Asia
- A Dataset and Deep Learning Method for Retrieval of Vertical Cloud Distributions from Multi-Angle, Polarimetric Imagery
Linked Co-Authors
- A. Lyapustin
- Amir Ibrahim
- Bastiaan van Diedenhoven
- Cameron R. Homeyer
- Cheng Chen
- E. P. Nowottnick
- Erin E. McDuffie
- Jens Redemann
- Jingting Huang
- John Barnes
- Kirk Knobelspiesse
- M. A. Fenn
- M. J. Garay
- Neil P. Lareau
- Osku Kemppinen
- Otto Hasekamp
- P. Jeremy Werdell
- Peter R. Colarco
- R. A. Ferrare
- Robert C. Levy
- S. A. Carn
- S. P. Burton
- Woogyung Kim
- Xiangde Xu
- Xu Guang Xi
- Yevgeny Derimian
- О. В. Калашникова
- Оleg Dubovik
Linked Collaborating Institutions
- CMA, China Academy of Meteorological Sciences
- Georgia Institute of Technology
- Howard University, Washington DC
- Jet Propulsion Laboratory
- Michigan Technological University
- NASA Goddard Space Flight Center, Maryland
- NASA Langley Research Center
- National Oceanic and Atmospheric Administration, Boulder
- Netherlands Institute for Space Research
- Science Systems and Applications Inc., Maryland
- University of Iowa
- University of Maryland, Baltimore County
- University of Maryland, College Park
- University of Nevada, Reno
- University of Oklahoma, Norman
- University of Utah
- Washington University in Saint Louis, Missouri
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