Keyword Cloud

GMAO – Global Modeling and Assimilation Office Research Site National Aeronautics Space Administration Goddard Flight Center Search Earth Sciences Division Exploration Skip Navigation press MISSION WEATHER ANALYSIS amp PREDICTION SEASONAL-DECADAL REANALYSIS GLOBAL MESOSCALE MODELING OBSERVING SYSTEM SCIENCE Products NASA Mission Support Field Campaign Multi-Partner Projects Briefs Science Snapshots GEOS Systems Publications Seminars Workshops Staff Directory Contact Information Employment Intranet internal Extranet login required SYSTEMS The conducts modeling assimilation activities that support s current suite of Observation missions use data gathered by past help plan for future observing systems analysis components needed this work are built around a modular system allows application-specific configurations designed different purposes This modularity also efficient High-Performance Computing resources developments including the funding broad science team supported Analysis Prediction program System Model Observing Version GEOS- model consists group can be connected in flexible manner order to address questions related aspects development adheres architecture Framework ESMF structure simplifies management both code enable progress with forefront applications coupled processes spans large range space time scales encompasses representation dynamical physical chemical biological There several widely used Atmospheric General Circulation AGCM configuration uses predictive atmosphere land is integrated using specified information about oceanic state surface temperature sea ice concentration as time-dependent boundary condition constructed developed locally collaborators Many include atmospheric aerosols Ocean OGCM ocean force Atmosphere-Ocean AOGCM fully capabilities states Chemistry-Climate CCM includes an interactive chemistry component allowing feedbacks between composition circulation Originally context computation prescribed some recent have begun AOCCM Chemistry-Transport CTM incorporates ability compute reactions framework meteorological conditions winds temperatures moisture cloud distributions in-cloud transport pre-computed enables impacts on constituent examined without been local through extensive collaborations partners Catchment Land was conceived It differs from traditional layer-based land-surface models explicit treatment spatial variation within each hydrological catchment or computational element soil water table depth well its effect runoff evaporation multi-layer global snow Modular which basis analyses at NOAA Geophysical Fluid Dynamics Laboratory represents conjunction sea-ice has tuned but important collaborating groups A unique feature run quot replay existing constrain flow specific achieved one two ways first involves overwriting predicted fields pressure every few hours second approach additional tendency terms known Incremental Updates IAUs analyzed Data core based space-based develops improves cryosphere combination other observations presently performed separately techniques build promote enhancement interfaces climate types ADAS years contributed Gridpoint Statistical Interpolation GSI originally devised NCEP Current expanding three-dimensional variational ensemble-based three four dimensions pioneered incremental update IAU technique means smoothly introducing into problem Alongside trace gases themes research production ODAS To analyze sub-surface currents salinity sea-surface height extent variety in-situ sensors satellite drivers initial seasonal forecasting Ensemble Optimal EnOI while focus Kalman-Filter approaches oceanography mature ocean-color activity LDAS Ensemble-Kalman-filter-based EnKF provides implementation combining deducing root-zone Access Presentations Responsible Official nbsp Steven Pawson Web Curator James Gass Privacy Policy Important Notices Us Page Last Updated