Physical Climate


Graduate Student

  • Lu An
  • Ann Bardin
  • Cilan Cai
  • Hrishi Chandanpurkar
  • Enrico Ciraci
  • Erin Delman
  • Aimee Gibbons
  • Colene Haffke
  • John Horn
  • Pei-Yuan Hsieh
  • Chia-Wei Hsu
  • Collin Lawrence
  • Xin Li
  • Seneca Lindsey
  • Huidong Liu
  • Zhao Liu
  • Staryl McCabe-Glynn
  • Eric McWilliams
  • Wei Mei
  • Jamiat Nanteza
  • Alexandra Noronha (Magana)
  • Karli Ouellette (Anderson)
  • Ashley Payne
  • AJ Purdy
  • Elliot Sherman
  • Kurt Solander
  • Tyler Sutterley
  • Alys Thomas
  • Yi-Hui Wang
  • Yun Xu
  • Hongying Yang
  • Hongju Yu
  • Yuhao Zou

Research Staff

Student Assistant

  • Karen An
  • Jonathan De Anda
  • Rosemary Garcia
  • Chris Glynn
  • Alice Kim
  • Amabella Lambinicio
  • Jane Liu
  • Dinali Mallikage
  • Julianna McDonnell
  • Joshua Miu
  • Melissa Raymond
  • Natasha Sekhon
  • Michelle Serino
  • Katherine Shover
  • Rachael Tan
  • Andrew Vande Guchte
  • Lauren Weisel

Postdoctoral Scholar

  • Erkut Aykutlug
  • Basile de Fleurian
  • Feras Habbal
  • Jian Ma
  • Houk Paek
  • Yannick Peings
  • JT Reager
  • Caroline Rozier de Linage
  • Helene Seroussi

Research Topics Include:

  • Energy transport across the Earth's oceans, atmosphere, and cryosphere
  • Atmospheric, oceanic and sea ice variability
  • Ice sheet dynamics and cryospheric processes with the atmosphere and ocean
  • Atmosphere/ocean/sea-ice coupling and El Niño
  • Large-scale atmosphere and sea ice interactions
  • Arctic atmospheric variability
  • Tropical cyclones and ocean mixing
  • Aerosol and cloud microphysics and radiative forcing
  • Regional and global hydrology
  • Paleoclimatology
  • Sustainable water and energy resources
  • Coupled ocean-atmosphere processes
  • Tropical climate dynamics related to El Nino and monsoon

 

Recent Publications

Zender CS, Mangalarn H.  2007.  Scaling properties of common statistical operators for gridded datasets. International Journal of High Performance Computing Applications. 21:485-498. Abstract
Research Lab Description Links to more information
Hydrology & Climate Research Group

The Hydrology & Climate Research Group is focused on modeling and remote sensing of the terrestrial and global water cycles. The work has implications for hydrologic and Earth system modeling, for characterizing water cycle variability across multiple scales, for understanding its interactions in the land-ocean-atmosphere-ice system, and for monitoring changes in freshwater availability in the context of global environmental change. The hydrology group is composed of Ph.D. students, postdoctoral researchers, and occasionally, highly motivated undergraduates.

Johnson Lab

My research primarily involves the use of geochemical variations preserved in cave-calcite deposits (speleothems) to reconstruct time-series of past environmental changes. A major goal of my research is to improve our understanding of what fundamentally controls speleothem stable isotopic composition and trace-element composition at both short and long timescales (seasonal to glacial-interglacial scale). These proxies are primarily controlled by variations in temperature and/or rainfall at a particular study area, but the specific mechanisms are complicated, incorporating a range of atmospheric, hydrologic, biologic, pedologic, kinetic, crystallographic, and thermodynamic controls. To understand these controls, I combine detailed studies of modern cave systems with studies of fossil speleothems, utilizing a wide range of analytical techniques (e.g. microsampling, analytical chemistry, mass spectrometry, laser ablation, etc.) along with laboratory experiments, rigorous data analysis, and geochemical modeling. Speleothem records can be dated much more precisely than most other paleoclimate archives using U-series methods, and therefore, often provide important information about the relative timing and mechanisms of abrupt climate change. The ultimate goal of my research is to obtain precisely dated, high-resolution, quantitative reconstructions of past variations in rainfall and temperature at a wide range of timescales.

Magnusdottir Modeling Lab

Professor Gudrun Magnusdottir is interested in atmospheric and climate dynamics. In her work she uses observations as well as a hierarchy of numerical models to study dynamical processes in the atmosphere, and climate variability.

One focus of her research centers on investigating feedback mechanisms influencing the unprecedented high-latitude trends in several climate variables over recent decades.

Another focus of her research centers on tropical-extratropical as well as troposphere-stratosphere dynamical interactions.

A third focus centers on the Intertropical Convergence Zone (ITCZ), its variability on different timescales, and what controls it in the climate system.

Pasquero Lab

Our goal is to understand the role that ocean dynamics and thermodynamics plays on the climate system.

In particular, we study how phenomena that are well localized in space and time (as tropical cyclones, deep convection, oceanic eddies) globally influence the distribution of energy on our planet. Once those mechanisms and their feedbacks on the climate system are understood, their relevance can be quantified and their role can be parameterized in larger scale models. Our main focus is on the physical characteristics of the ocean and climate system.

Primeau Modeling Lab

We are interested in the ocean's role in the climate of the Earth. The ocean plays a determining role in the variability of the climate system on inter-annual to millennial timescales. We use global observations and a hierarchy of ocean models together with advanced computational and mathematical techniques to study the ocean. Our current research is directed in three broad areas:

  1. the surface-to-surface transport and ventilation of ocean water masses
  2. inter-annual to decadal variability of the ocean's wind-driven circulation
  3. global ocean biogeochemical cycles
Randerson Lab

We seek to improve our understanding of global change in terrestrial ecosystems. We use remote sensing data, atmospheric trace gas observations, field measurements, and models in new ways to study feedbacks between terrestrial ecosystems and climate.

Rignot Lab

The primary interest of our research group is to understand the interactions of ice and climate, in particular to determine how the ice sheets in Antarctica and Greenland will respond to climate change in the coming century and how they will affect global sea level.

 

Velicogna Lab

My research program is centered on space-based climate measurements with particular attention to cryospheric and high latitude regional studies.

I am interested in studying processes of global change using various remote sensing techniques, as well as lithospheric properties and loading processes on geological timescales.

Yu Modeling Lab

Research Topics Include:

  • Two Types of El Nino: Central-Pacific El Nino and Eastern-Pacific El Nino
  • A New Global Parallel and Coupled Ocean-Atmosphere GCM
  • ENSO Simulation, Dynamics, and Prediction
  • ENSO-Monsoon Interactions
  • Indian Ocean Zonal Mode
  • Pacific Decadal Oscillation (PDO)
  • Tropical Instability Waves (TIW)
  • Tropical-Extratropical Interactions
  • Cloud-Radiation Feedback
  • Jetstream and Stormtrack Vacillation
  • Regional Climate Variations
Zender Modeling Lab

Our research group studies the energy and trace species that pass through Earth's atmosphere. We model the microphysics of trace gas, aerosol, cloud, and surface interactions with Earth's radiative, thermodynamic, and chemical budgets. We then (often) parameterize these effects in climate models. The model simulations, combined with lab, field, and satellite data, help us attribute alteration of Earth's climate and composition to specific processes. Our current research includes mineral dust, meteoric, and carbonaceous aerosols, snow lifecycle and albedo, aerosol impacts on ocean biogeochemistry, wind-driven surface energy/mass exchange, climate-disease links, and terascale data analysis. Our aerosol generation, radiative transfer, and data processing models are freely available and are used in geoscience research institutions world-wide.

Pritchard Lab
My expertise is in next generation climate simulation, focusing on the physics of cloud-related processes in the virtual atmosphere. I apply a range of traditional and experimental new approaches to study the global atmosphere in a virtual laboratory. These include conventional global climate models, and experimental approaches such as "superparameterized" prototype global models. See my visualizations for scientific details.