Earth System Science and Modeling

CPO's Earth System Science and Modeling (ESSM) division supports research to advance understanding of the Earth system.

To understand and predict changes in climate, weather, oceans, and coasts--so people can protect themselves and their property--we need to understand global patterns and climate variability and change. And to help manage and conserve coastal resources and marine ecosystems, we need to understand and monitor our oceans and coasts.

The ESSM Division is actively building the global and regional scale understanding needed to improve predictions. The program coordinates an array of researchers from federal agencies, national labs, and universities, focusing them on the most pressing climate research necessary to advance NOAA's prediction and other services and applications.

The ESSM Division comprises four programs: Climate Variability & Predictability (CVP), Modeling, Analysis, Predictions, and Projections (MAPP), and Atmospheric Chemistry, Carbon Cycle, & Climate (AC4), and Climate Observations and Monitoring (COM).

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ESSM News

Freshwater Outflow from Beaufort Sea Could Alter Global Climate Patterns 3 March 2021

Freshwater Outflow from Beaufort Sea Could Alter Global Climate Patterns

New Nature Communications study shows how record-high Arctic freshwater will flow through Canadian waters, affecting marine environment and Atlantic ocean currents.

Climate Indicators Identify Drivers of Change in Arctic Tundra 3 March 2021

Climate Indicators Identify Drivers of Change in Arctic Tundra

New research identifies important climate drivers affecting tundra vegetation productivity and points to potential methods of predicting vegetation a season or two ahead of time. 

Increasing Summertime Cloudiness May Lead to More Sea Ice Melt in the Arctic 3 March 2021

Increasing Summertime Cloudiness May Lead to More Sea Ice Melt in the Arctic

A recent study published in Nature Communications Earth & Environment suggests that summertime low clouds play an important role in driving sea ice melt. 

Can Artificial Intelligence and Machine Learning Assist Climate Scientists? 3 March 2021

Can Artificial Intelligence and Machine Learning Assist Climate Scientists?

Artificial intelligence (AI) and machine learning experts report on the state of the science of AI post-processing of weather and climate model output and recommend a set of methods and data that can allow the community to move forward.

New Study Identifies Mountain Snowpack Most “At-Risk” from Climate Change 1 March 2021

New Study Identifies Mountain Snowpack Most “At-Risk” from Climate Change

CPO-funded scientists theorize why snowpack in coastal regions, the Arctic, and the Western U.S. may be among the most at-risk for premature melt from rising temperatures

Climate scientists identify regional variations in snowpack melt as temperatures increase and present a theory that explains which mountain snowpacks worldwide are most “at-risk” from climate change.

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Contact the ESSM Division Chief


Chief, Earth System Science and Modeling Division

P: 301-734-1185
E: jin.huang@noaa.gov

Contact

Dr. Annarita Mariotti
MAPP Program Director
P: 301-734-1237
E: annarita.mariotti@noaa.gov

Dr. Daniel Barrie
MAPP Program Manager
P: 301-734-1256
E: daniel.barrie@noaa.gov

Courtney Byrd*
MAPP Program Specialist
P: 301-734-1257
E: courtney.byrd@noaa.gov

Contact

Dr. Daniel Barrie
MAPP Program Manager
P: 301-734-1256
E: daniel.barrie@noaa.gov

Alison Stevens*
MAPP Program Specialist
P: 301-734-1218
E: alison.stevens@noaa.gov

Contact

Dr. Sandy Lucas
CVP Program Manager
P: 301-734-1253
E: sandy.lucas@noaa.gov


Contact

Dr. Monika Kopacz (UCAR)
Program manager, Atmospheric Chemistry, Carbon Cycle and Climate (AC4)
P: (301) 734-1208
E: monika.kopacz@noaa.gov

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Americans’ health, security and economic wellbeing are tied to climate and weather. Every day, we see communities grappling with environmental challenges due to unusual or extreme events related to climate and weather.