Cristian Proistosescu
- ORCiD
- https://orcid.org/0000-0002-1717-124X
- OpenAlex ID
- https://openalex.org/A5051221198 (API record)
Associated Concepts [?]
- Geology
- Climatology
- Biology
- Oceanography
- Physics
- Environmental science
- Ecology
- Geography
- Climate change
- Atmospheric sciences
- Meteorology
- Climate model
- Mathematics
- Quantum mechanics
- Mathematical analysis
- Forcing (mathematics)
- Engineering
- Climate sensitivity
- Optics
- Radiative transfer
- Organic chemistry
- Chemistry
- Radiative forcing
- Paleontology
- Global warming
Authored Works
sorted by decreasing year, and then by display-name
- The Sea Surface Temperature Pattern Effect in the Last Glacial Maximum Reduces Climate Sensitivity Estimates
- The Green's Function Model Intercomparison Project (GFMIP) Protocol
- Soil Moisture Modulates Temperature Extremes
- Learning the Pattern Effect Using Model-Data Fusion: Observationally Constrained Green's Functions in a Hierarchical Bayesian Framework.
- Fingerprinting Low-Frequency Holocene Temperature and Precipitation Variability in Forced and Unforced Climate Models
- Evaluating the Skill of Linear Models of Salinity and δ18OSW using Isotope-Enabled Climate Models.
- Evaluating constraints on future climate change based on model skill over the historical record
- Estimating the Timing of Geophysical Commitment to 1.5 and 2.0 °C of Global Warming with a Climate Emulator
- Emergent Constraints on Climate Sensitivity Based on Recent Warming are Biased Low by Sea-Surface Temperature Pattern Effects
- Economic Uncertainty Dominates Climate Uncertainty in Determining CO2 Price Paths
- Different Drivers of Low Cloud Radiative Feedbacks and their Uncertainty in Historical and Future Simulations
- Characterizing ENSO-induced Variability in Top of Atmosphere Radiation
- Not-so-EZ-Climate: Updating a climate-economy model with a state-of-the-art climate emulator
- Fingerprinting Forced and Unforced Low-Frequency Variability in Idealized and Global Climate Models
- A fly in the ointment: Coupled climate models fail to simulate observed warming patterns, resulting in weakened constraints on climate sensitivity.
Linked Co-Authors
- Aaron Donohoe
- Andrew Williams
- Bosong Zhang
- Christopher J. Smith
- Daniel E. Amrhein
- Gernot Wagner
- Ivan Mitevski
- Jonah Bloch‐Johnson
- Jonathan M. Gregory
- Kyle C. Armour
- Lily Hahn
- Lucas R. Vargas Zeppetello
- Malte F. Stuecker
- Marc J. Alessi
- Maria Rugenstein
- Ming Zhao
- Natalie J. Burls
- Robert C. J. Wills
- Ryan T. Scott
- Sarah M. Kang
- Stephen Po‐Chedley
- Timothy A. Myers
- Vincent Cooper
Linked Collaborating Institutions
- Colorado State University
- Columbia University, New York
- Environment Canada
- George Mason University, Virginia
- Harvard University, Massachusetts
- Lawrence Livermore National Laboratory, California
- Meteorological Office, UK
- NASA Langley Research Center
- Nanjing University, China
- National Center for Atmospheric Research, Colorado
- New York University
- Princeton University, New Jersey
- Ulsan National Institute of Science and Technology, Korea
- University of Arizona
- University of Hawaii, Manoa
- University of Illinois, Urbana-Champaign
- University of Leeds, UK
- University of Oxford, UK
- University of Reading, Department of Meteorology
- University of Reading, UK
- University of Washington, Seattle
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