Developing an OSSE Testbed at NASA/SIVO

D. Emmitt, M. Seablom, R. AtlasWG-SBLW

2-4 February 2010

Development of a USWRP Observing System Simulation Experiment (OSSE) test bed

Primary Objective (long term)To establish a numerical test bed that would enable a hierarchy of experiments to: (1) determine the potential impact of proposed space-based, sub-orbital, and in situ observing systems on analyses and forecasts,(2) evaluate trade-offs in observing system design, and (3) assess proposed methodology for assimilating new observations in coordination with the Joint Center for Satellite Data Assimilation (JCSDA). Sub-objectives (1) To define both the advantages and limitations of a hierarchy of OSSEs that includes rapid prototyping of instrument or data assimilation concepts, as well as the more rigorous “full” OSSEs.(2) To generate an OSSE/OSE process that invites participation by the broad

community of agency planners, research scientists and operational centers.

FY09 Statement of Work

• We proposed to design an OSSE testbed for use by USWRP partners and academia as a collaboration between OAR/AOML, OAR/GSD, NESDIS/STAR, NWS/EMC and the Joint Center for Satellite Data Assimilation (JCSDA).

• This testbed would be applicable to analysis/forecast impact studies, observing system design, instrument trade studies, future instrument constellation planning, and data utility investigations.

Development of a Sensor Web Simulator: Status and Preliminary Results for a Future Satellite Wind

Lidar Mission

Michael Seablom, Stephen TalabacNASA Goddard Space Flight Center

Joseph ArdizzoneScience Applications International Corporation

Sheldon Applegate, Howard KleinwaksTASC, Inc

14th Symposium on Integrated Observing and Assimilation Systems for the Atmosphere, Oceans, and Land Surface, Atlanta GA, 18 January 2010

G. David Emmitt, Sidney WoodSimpson Weather Associates

Robert Burns, Eric Kemp, Gary WojcikNorthrop Grumman Information Systems

Robert M. AtlasNOAA Atlantic Oceanographic and

Meteorological Laboratory

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Project GoalsDemonstrate value of sensor web concepts for meteorological use cases

Quantify cost savings to missions Quantify improvement in achieving science goals

Design and Build simulator with functional elements (sensors, communication networks, numerical models, data analysis systems, targeting techniques)

Allow multiple “what if” scenarios for testing Use observing system simulation experiments to gage benefits

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Components

(1) SWA Doppler Lidar Simulation Model: Simulates winds (with expected errors) from Nature Run*

(2) NOAA/NASA Complex Quality Control System

*Using 20-day NASA fvGCM Nature Run (0.625 x 0.5 deg) starting from 11 Sep 1999; includes simulated conventional obs

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Components

(4) Objective feature detection algorithms (e.g, jet streams)

(5) GrADS-based GUI for manual target review

(6) Includes AGI Satellite Tool Kit for orbit calculations and communications

(3) NOAA/NASA Gridpoint Interpolation System + NASA Goddard Earth Observing Model 5

Use Case: Decadal Survey Mission Doppler Lidar

Lidar switches between four shot positions

Forward and aft shots can sample same region for 3D wind

Each shot reduces lifetime of instrument

Potential enhancements:Duty cycle modulationDynamic targeting with slewing

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Dynamic Targeting with Slewing

Slew satellite left or right to capture targets outside nominal field of view

Adds complexity to target decision; need optimization rule

Above: Slew to capture cyclone target (blue)

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Summary and Future Work

Developing Sensor Web Simulator with observing system, data assimilation, modeling, and targeting components

Components manually tested, integration still underway

Supports proposed GWOS Decadal Survey Mission Extensible to other missions

In future, will add other instruments: Polar orbiting scatterometer (XOVWM, DFS) GOES-R Advanced Baseline Imager Geosynchronous microwave radiometer (PATH)