Our Mission

"To observe, understand and predict the Earth system through research that advances NOAA's environmental information and service from minutes to millennia on global-to-local scales."

Additional ESRL links:

  • Organization
    • Global Monitoring Division (GMD)
    • Physical Sciences Division (PSD)
    • Chemical Sciences Division (CSD)
    • Global Systems Division (GSD)
  • Contact us
 

News at ESRL

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Feb 18, 2016: Gijs de Boer receives Presidential honor

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Feb 5, 2015: Unprecedented effort launched to discover how El Niño affects weather

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Feb 3, 2015: Warming Ocean May Bring Major Changes for US Northeast Fishery Species

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Feb 1, 2016: Where Clouds and Particles Meet Climate

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Jan 25, 2016: Rapid, Affordable Energy Transformation Possible

ESRL News Archive

NOAA Earth System Research Laboratory


Welcome to the Earth System Research Laboratory. ESRL was formed to pursue a broad and comprehensive understanding of the Earth system. This system comprises many physical, chemical and biological processes that need to be dynamically integrated to better predict their behavior over scales from local to global and periods of minutes to millennia.

At ESRL we are working toward a greater stewardship of the Earth through a number of themes aimed at understanding the Earth system processes and changes.

Understanding atmospheric mechanisms that drive the Earth's climate.

  • Aerosols: Climate
  • Carbon Cycle Science
  • Radiative Forcing of Climate by Non-CO2 Atmospheric Gases
  • Surface and Planetary Boundary Layer Processes

Assuring the continuing health and restoration of atmospheric resources.

  • Aerosols: Air Quality
  • Stratospheric Ozone Layer Recovery
  • Tropospheric Ozone and Air Quality

Improving predictions through expanded climate and weather products.

  • The Weather-Climate Connection
  • Climate and Water Systems
  • Regional and Local-scale Assimilation and Modeling
  • Global Weather Assimilation and Modeling
  • Hydrometeorological Testbed (HMT)

Advancing national research capabilities.

  • Building a Service-based Grid Computing Infrastructure
  • Information Systems
  • Observing System Design, Simulation, and Demonstration
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