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Joint Center for Satellite Data Assimilation Updates and Overview

Adapted from presentation by Tom Auligné, Director, JCSDA

VIIRS RGB Earth Day 20160422

On-Going JCSDA Successes

• Community Radiative Transfer Model (CRTM) (Rel 2.3.0 with cloud fraction)

• More unified Data Assimilation -> Support for operational/research community

• Accelerated use of research and operational satellites into operational models

– AIRS -> IASI -> NPP -> preparation for JPSS and GOES-R

• Contributions to continuous improvement to NWP model performance

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SSM/ISradiancesMLS ozone

CRIS radiances

ATMS radiances

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IASI radiances

GOME ozone

GPS-RO

AMSR-EradiancesAIRS radiances

AMSU-BradiancesAMSU-Aradiances

JCSDA Management Structure

Executive Team Director (Auligne) *

Partner Associate Directors

(Baker, Gelaro, Zapotocny, Benjamin, Derber, Weng)

Chief Administrative Officer (Yoe)

Management Oversight Board

NOAA / NWS / NCEP (Lapenta (Chair))

NASA/GSFC/Earth Sciences Division (Pawson)

NOAA / NESDIS / STAR (Kalb)

NOAA / OAR (Atlas)

Dept. of the Air Force / Air Force Director of Weather (Col. Gremillion)

Dept.of the Navy / N84 and NRL ( McCarren and Hansen)

Agency Executives NASA, NOAA, Department of the Navy, and Department of the Air Force

Advisory Panel

Science Steering Committee

Science priorities: Radiative Transfer Modeling (CRTM), new instruments, clouds and precipitation, land surface, ocean, atmospheric composition.

Strategic Goals

1. Expand capabilities in assimilating satellite sensors

2. Spearhead a community data assimilation initiative

3. Address scientific frontiers to optimize the use of satellite data

4. Deliver new and improved tools to support observing system impact assessments

5. Foster improved organizational management, interagency coordination and outreach strategies

1) Prioritized New Satellites and Sensors

New Sensors Data Assimilation: (new QC, error optimization, impact assessment on NOAA forecast systems)

• JPSS1 – ATMS and CrIS (Launch date NLT Q2 FY17) • GOES-R – ABI (AMV winds and radiances) (Launch date October 2016) • COSMIC 2 (Launch date Q2 FY17) HIMAWARI-8 AHI (Dry run for GOES-R ABI) GPM /GMI Megha-Tropiques SAPHIR (WV Sounder) ISS-RAPIDSCAT (Scatterometer) GCOMW AMSR2 SMAP JASON 3

Existing Sensors optimization:

(QC, Surface-sensitive channels assimilation, pre-processing, dynamic emissivity, etc)

ATMS, SSMIS, AMSU, MHS

GOALS

1. Nation unified next-generation Data Assimilation system

2. Increase R2O transition rate from academic community

3. Increase science productivity and code performance

STRATEGY

1. Modular code for flexibility, robustness and optimization

2. Mutualize model-agnostic components across

• Applications (atmosphere, ocean, strongly coupled, etc.)

• Models & Grids (operational/research, regional/global models)

• Observations (past, current and future)

3. Collective reduction of entropy

2) Joint Effort for Data assimilation Integration (JEDI)

DART GSI

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MULTI-LEVEL COMMUNITY REPOSITORY

Other DASs

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Research

Generic

Oper

C

…

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B

Operations

Scientific efforts in academia

Scientific efforts in OAR

Scientific efforts in research community

Scientific efforts in satellite DA in Navy

JCSDA’s

own DA

Activities

Op

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l

Re

se

arc

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1

Generic

2

3

(TRL 1-4)

(TRL 7-9)

(TRL 4-7)

Co

de

Sta

nd

ard

s &

Co

nstr

ain

ts

Obs. Pre-processor • Reading • Data selection • Basic QC

Solver • Variational/EnKF • Hybrid

CODBMS: Community Observation Data Base Management System

Background & Obs Error

Observations

Model

• Verification • Model post-proc. • Cal/Val, Monitoring • Retrievals • Simulated Obs.

CODBMS (obs + model equivalent)

Unified

Forward Operator

(UFO)

• Model Initial Conditions • Observation Impact (OSE, OSSE) • Situational awareness • Reanalysis

NEMS/ESMF

Atm Dycore

(TBD)

Wave

(WW3/SWAN)

Sea Ice (CICE/SIS2/KIS

S)

Aerosols

(GOCART)

Ocean

(HYCOM/MOM)

Land Surface

(NOAH)

Atm Physics

(GFS)

Atm DA

(GSI)

DATA ASSIMILATION COMPONENTS for Atmosphere, Ocean, Waves, Sea-ice, Land, Aerosols, Chemistry, Hydrology, Ionosphere

Analysis Increments

3) Scientific Frontiers for this year

• Improve the Community Radiative Transfer Model (CRTM) transmittance calculation, cloud and aerosol optical properties, and software efficiency

• Assimilation of all-sky satellite radiances (esp. cloud-affected and over land)

• Improve balance in analysis (at all scales, better use of ensemble information)

4) Experimental Design

• Time period: 3-month DJF 2014-15 (planned JJA 2014)

00UTC & 06UTC cycles • Verification: 24h forecast against self analysis • Metric: global total dry energy (surface-100hPa)

• Adjoint: dry plus moist physics, as available • Ensemble: flow-following localization • Approach: centrally collect data without aggregation • Participating Centers: EMC, NRL, GMAO, Met Office, JMA

Results shown here are VERY preliminary (only global summary plots of impact at 00UTC will be shown)

Fractional Impact at 00UTC: Satellite Radiances

Fractional Impact at 00UTC: Other Observations

5) JCSDA: Looking ahead

• Metrics of success = added value (faster, better, cheaper, safer)

of doing work jointly via the JCSDA

• Scope of activities and role of JCSDA • Collaborative, inter-dependent activities

• Annual Operating Plan

• Toward new Terms of Operations • Annual timeline

• Project structure 13

Tasking Prioritizing

Execution Oversight

Reporting Budgeting Review

Planned Project Structure

• Project #1: CRTM – Science Project Manager and Software Engineer

– Draft work plan under construction

• Project #2: New and Improved Observations – Prioritized list of new sensors + Readiness action plans

– Cloud-and-precipitation-affected radiances

– Radiances over land

• Project #3: JEDI – Science Project Manager and Software Engineer

– Unified Forward Operator (atmosphere, ocean, sea-ice, etc)

– JCSDA member of GSI/EnKF DA Review Committee

• Project #4: Observing System Impact Assessment – JCSDA Observing System Assessment Standing Capability (JOSASC)

– Commercial Weather Data Pilot (CWDP) project

Conclusion

• JCSDA = multi-agency, distributed center enabling partners to share efforts and results to accelerate, enhance, and expand use of satellite data in operational prediction systems

• Keys to Success Include – Development and adoption of Common Tools (CRTM)

– R2O supported by O2R infrastructure (R2O2R2….)

– Effective communication b/w partners, R&O communities

• Future Outlook – Exploring means to be more collaborative in planning and execution

– Plan to hire JCSDA Executive Officer

– Starting July 2016, JCSDA Director in Boulder, CO

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Questions?