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Program Domain

Climate & Atmosphere Processes

Michael Wehner (left) and Bill Collins (right) reviewing the NCAR's Community Atmosphere Model to see how well the model can reproduce observed tropical cyclone statistics using supercomputers to map climate change.

Climate and Atmosphere Processes scientists study the processes that drive variability and change in the atmosphere and broader climate system. They develop modeling tools to predict these changes at different time and space scales.

Programs

Program

Climate Modeling

This program aims to develop global process-resolving models to help quantify the roles of climate feedbacks in anthropogenic climate change. Abrupt and extreme climate changes from anthropogenic warming pose some of the greatest risks to society and the environment. Understanding of the complex interactions involved with feedbacks is critical.

Christina Marie Patricola cmpatricola@lbl.gov

lightening strike in Great Plains Oklahoma
Program

Atmospheric System Research

The Earth and Environmental Sciences Area’s, Atmospheric System Research Program advances fundamental understanding of atmospheric radiation, clouds, and precipitation, and their interactions with Earth’s surface and climate.

Margaret Torn

Margaret S. Torn mstorn@lbl.gov 510-495-2223

Background

The Climate and Atmosphere Processes (CAP) Program Domain was initiated in 2015 and is one of four Program Domains within the Climate and Ecosystem Sciences Division. Projects and programs within the CAP program domain use a combination of theory, models, and observations to develop our understanding of the processes that drive variability and long-term change in the atmosphere. Core capabilities in the CAP program domain include:

  • expertise in the physics and statistics of climate extremes;
  • models and parameterizations for simulating atmospheric phenomena across a wide range of scales: from convective (1 km) to global (25,000 km);
  • expertise, models, and theoretical understanding of the propagation of light and thermal radiation in the atmosphere; and
  • theoretical and observational understanding of the processes that govern cloud behavior.

Vision and Mission

Vision: A comprehensive theoretical and predictive understanding of the processes that drive variability and change in the atmosphere and broader climate system

Mission: To develop foundational knowledge and capabilities needed to understand and predict variability and change in the atmosphere and broader climate system

Program Domain Leads

Haiyan Teng
Climate & Atmosphere Processes Program Domain Lead
Staff Scientist

News & Events

EESA Scientists Collaborate With Universities to bring Environmental Science Research Opportunities and Training to Students Underrepresented in STEM

January 13, 2023

  EESA researchers are collaborators in three of the 41 projects awarded in December by DOE through its Reaching a New Energy Sciences Workforce (RENEW) initiative.  RENEW aims to build foundations for research at institutions that have been historically underrepresented in the Office of Science (SC) research portfolio. The initiative provides opportunities for undergraduate and…

A Q&A With Postdoc Kunxiaoja Yuan

January 4, 2023

  Kunxiaojia Yuan received her Bachelor’s of Engineering in remote sensing and Ph.D. in geographic information engineering from Wuhan University. She is a postdoctoral researcher in EESA, with a research focus on global carbon, energy, and water cycle analysis and model evaluation using machine learning and causal inference. What motivated you to pursue a postdoc…

A Q&A With Postdoc Brandon Enalls

After flipping on the TV to a science channel segment about environmental microbes, postdoc researcher Brandon Enalls was instantly amazed by microbiology. After working with a research group that studied microbes in extreme salinity, like the Dead Sea, Enalls knew he wanted to study microbes “in strange places, doing strange things,” inspiring him to get…

Study Demonstrates the Importance of Data Management When Downscaling

December 12, 2022

Global climate models can help show the planet’s future, but what if you want to zoom in on an individual spot on the map? To get more local information, climate scientists commonly use an approach called downscaling to make global data relevant to an individual area. Downscaling relies, in part, on comparing the observed historical…

Strengthening FAIRer Earth and Environmental Systems Science Data with Community-led Reporting Formats

November 14, 2022

Earth and environmental systems science (ESS) research is evidence-based and relies on the analysis and modeling of diverse and multi-scale datasets. The volume of ESS data has risen sharply in recent years, with more data gathered by the minute. This may come as positive news—however, much of this data remains unarchived, difficult to access, and…

Register for the 2022 ESS-DIVE Community Data Workshop to Advance Environmental System Science through Collaborative Data Management

October 26, 2022

From the climate crisis to water insecurity, high-quality, openly available data are needed to solve global environmental challenges. However, important environmental systems science (ESS) data often remains difficult to access, unarchived, or even unusable. To help improve access to and use of ESS data, the U.S. Department of Energy (DOE) supported the establishment of the…

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