BEGIN:VCALENDAR
VERSION:2.0
PRODID:icalendar-ruby
CALSCALE:GREGORIAN
X-WR-CALNAME: From reanalysis to seasonal prediction: An overview of curren
 t and future directions in greenhouse gas modeling at NASA’s Global Mode
 ling and Assimilation Office
X-WR-TIMEZONE:Eastern Time (US & Canada)
BEGIN:VEVENT
DTSTAMP:20260912T232856Z
UID:tag:localist.com\,2008:EventInstance_42545412313446
DTSTART:20230428T160000Z
DTEND:20230428T170000Z
DESCRIPTION:The Global Modeling and Assimilation Office (GMAO) leads NASA
 ’s development of modeling tools aimed at integrating diverse informatio
 n provided by Earth observations during the satellite era. These include t
 he Goddard Earth Observing System (GEOS)\, which includes a general circul
 ation model and data assimilation system\, and is used to plan future sate
 llite missions\, advance prediction on weather and seasonal timescales\, a
 nd provide widely used climate data records to track multi-decadal changes
 . Across all timescales and products\, GMAO seeks to represent the Earth a
 s a system by incorporating processes that influence atmospheric compositi
 on and greenhouse gas (GHG) concentrations.  \n\nThis seminar is intended 
 to provide a broad overview of GHG capabilities in GEOS as well as future 
 directions and challenges. First\, we highlight the development of a conce
 ntration-based GHG monitoring system\, which leverages state estimation te
 chniques originally developed for weather and ozone\, and its application 
 to detect recent changes in carbon dioxide sources and sinks. We discuss p
 rogress toward inclusion of this capability in GMAO’s upcoming Reanalysi
 s of the 21st Century and the GEOS Composition Forecasting (GEOS-CF) syste
 m\, developed in collaboration with Harvard University and used to predict
  changes in atmospheric trace gases with daily 5-day forecasts. We also br
 iefly demonstrate the potential of seasonal predictions to skillfully pred
 ict some aspects of ecosystem-atmosphere carbon exchange several months in
  advance. Finally\, we conclude by introducing how GMAO’s GHG capabiliti
 es support several new NASA-wide initiatives\, including the Earth Informa
 tion System (EIS)\, which aims to support open science and applications by
  leveraging emerging cloud storage and computing capabilities.
GEO:42.3783;-71.117081
LOCATION:Pierce Hall\, 100F
SUMMARY: From reanalysis to seasonal prediction: An overview of current and
  future directions in greenhouse gas modeling at NASA’s Global Modeling 
 and Assimilation Office
URL;VALUE=URI:https://events.seas.harvard.edu/event/from_reanalysis_to_seas
 onal_prediction_an_overview_of_current_and_future_directions_in_greenhouse
 _gas_modeling_at_nasas_global_modeling_and_assimilation_office
END:VEVENT
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