HelioWebLazaros Oreopoulos
flowchart
A[Lazaros Oreopoulos]
AC["Associated Concepts (25)"]
AW["Authored Works (17)"]
CA["Linked Co-Authors (19)"]
CI["Linked Collaborating Institutions (13)"]
A== dcterms:relation ==>AC
AW== author ==>A
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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NO["add outgoing edge"]
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A-- ? -->NO
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click NO "#add-outgoing-edge"
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style NO stroke-width:2px,stroke-dasharray: 5 5
- ORCiD
- https://orcid.org/0000-0001-6061-6905
- OpenAlex ID
- https://openalex.org/A5043781370 (API record)
Associated Concepts [?]
- Physics
- Geography
- Geology
- Meteorology
- Environmental science
- Computer science
- Operating system
- Political science
- Law
- Cloud computing
- Atmospheric sciences
- Quantum mechanics
- Optics
- Climatology
- Radiative transfer
- Chemistry
- Biology
- Organic chemistry
- Engineering
- Astronomy
- Oceanography
- Remote sensing
- Ecology
- Cloud cover
- Aerosol
Authored Works
sorted by decreasing year, and then by display-name
- Viewing large-scale Diabatic Heating through Cloud Vertical Structure regimes
- Understanding the microphysical control and spatial-temporal variability of warm rain probability using CloudSat and MODIS observations
- The changing relationship among convection, subsidence, and radiation budget in the tropics
- Radiative impacts of a new cloud overlap analysis
- QBO Deepens MJO Convection
- Predicting MODIS Cloud Regimes from ISCCP Histograms
- Observational Evidence of Strong Forcing from Aerosol Effect on Low Cloud Coverage With Large-scale Ship-track Samples
- Examining the feasibility of detailed decomposition of radiative flux anomalies to cloud changes
- Climatology of marine low-cloud morphology types, their climatological transitions, cloud radiative and physical properties, and environment
- Seeking guidance from active cloud observations to improve climate model subcolumn generators
- Regional mixtures of cloud vertical structures as metrics to assess the realism of global model cloudiness
- Large-scale convective systems identified by hybrid cloud-precipitation regimes and their modulations by MJO and QBO
- Insights from a long-term global record of mesoscale low cloud morphology
- Examining the Nexus of Environmental Policy, Climate Physics, and Maritime Shipping with Deep Learning and Space-borne Data
- Diagnosing the response of the Earths energy budget to vegetation change in observations and models
- Detailing cloud feedbacks with a regime-based decomposition
- Combined analysis of coincident MODIS and ISCCP joint histograms for probing the differences in their respective cloud regime classifications
Linked Co-Authors
- C. Wang
- Daeho Jin
- Daehyun Kim
- David Mechem
- Dongmin Lee
- E. M. Wilcox
- George Tselioudis
- Hongbin Yu
- Hua Shu
- Jackson Tan
- Johannes Mohrmann
- M. D. Lebsock
- Mark D. Zelinka
- Nayeong Cho
- Robert Wood
- Ryan J. Kramer
- S. Platnick
- Tianle Yuan
- Zhibo Zhang
Linked Collaborating Institutions
- Desert Research Institute
- Jet Propulsion Laboratory
- Lawrence Livermore National Laboratory, California
- Max-Planck-Institute for Biogeochemistry, Jena
- McGill University, Canada
- Morgan State University, Maryland
- NASA Goddard Space Flight Center, Maryland
- Science Systems and Applications Inc., Maryland
- Seoul National University, Korea
- University of Kansas
- University of Maryland, Baltimore County
- University of Maryland, College Park
- University of Washington, Seattle
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