Anthony Broccoli

About

Anthony J. Broccoli is a Distinguished Professor of Atmospheric Science in the Department of Environmental Sciences at Rutgers University. He is also the Director of the Center for Environmental Prediction and the Graduate Program in Atmospheric Science. His academic and professional focus is on atmospheric sciences, contributing to research and education in this field. Broccoli is based at Rutgers' New Brunswick campus, where he is engaged in advancing understanding of environmental and atmospheric processes.

Research topics

• Physics
• Astronomy
• Geology
• Geodesy
• Oceanography
• Astrophysics
• Paleontology
• Medicine
• Climatology

Selected publications

• Two annual cycles of the Pacific cold tongue under orbital precession

  Nature · 2022 · 19 citations

  Senior authorCorresponding
  PublisherOA PDFDOI

• A role for orbital eccentricity in Earth’s seasonal climate

  Geoscience Letters · 2023-12-08 · 11 citations

  articleOpen accessSenior author

  Abstract The seasonality of Earth’s climate is driven by two factors: the tilt of the Earth’s rotation axis relative to the plane of its orbit (hereafter the tilt effect ), and the variation in the Earth–Sun distance due to the Earth’s elliptical orbit around the Sun (hereafter the distance effect ). The seasonal insolation change between aphelion and perihelion is only ~ 7% of the annual mean and it is thus assumed that the distance effect is not relevant for the seasons. A recent modeling stud…

  PublisherOA PDFDOI

• Orbital Influences on Conditions Favorable for Glacial Inception

  Geophysical Research Letters · 2021 · 8 citations

  Senior authorCorresponding

  Abstract Glacial cycles are driven by cyclical changes in Earth's orbital parameters: obliquity, precession, and eccentricity. A common interpretation of Milankovitch's orbital theory suggests high‐latitude June insolation is the dominant forcing in driving glacial cycles, which places emphasis on the importance of precession. However, there is abundant evidence for the importance of obliquity. Here, we use linear reconstructions based on single‐forcing climate model simulations to produce time…

  PublisherOA PDFDOI

• Methods for Predicting the Likelihood of Safe Fieldwork Conditions in Harsh Environments

  Frontiers in Earth Science · 2020-07-30 · 5 citations

  articleOpen access

  Every year, numerous field teams travel to remote field locations on the Greenland ice sheet to carry out polar research, geologic exploration, and other commercial, military, strategic, and recreational activities. In this region, extreme weather can lead to decreased productivity, equipment failure, increased stress, unexpected logistical challenges, and, in the worst cases, a risk of physical injury and loss of life. Here we describe methods for calculating the probability of a “scienceable”…

  PublisherOA PDFDOI

• Reply to: Concerns of assuming linearity in the reconstruction of thermal maxima

  Nature · 2022-07-27 · 4 citations

  letter
  PublisherDOI

Recent grants

• Collaborative Research: P2C2--Orbital Timescale Climate Variability: Simulation of Mechanisms and Comparison with Paleoclimate Observations

  NSF · $383k · 2009–2013

Frequent coauthors

• Syukuro Manabe

  Princeton University

  62 shared

• Keith W. Dixon

  43 shared

• Sarah Kapnick

  NOAA Geophysical Fluid Dynamics Laboratory

  36 shared

• Tyler Janoski

  NOAA National Severe Storms Laboratory

  33 shared

• David J. Karoly

  University of Melbourne

  30 shared

• Peter A. Stott

  Met Office

  30 shared

• Karl Braganza

  Bureau of Meteorology

  30 shared

• Julie M. Arblaster

  Monash University

  25 shared

Similar researchers at Rutgers University

• John Reinfelderh-51
• Enrique Curchitserh-44
• Gediminas Mainelish-44