Slide 1

Use of Suomi-NPP in NAVDAS-AR*

Benjamin Ruston1, Steve Swadley1, Nancy Baker1, Rolf Langland1, Karl Hoppel2,Efren Serra3, and Pedro Tsai3

1NRL, Monterey, CA2NRL, Washington D.C., CA3SAIC, Monterey, CA

*Navy Atmospheric Variational Data Assimilation System Accelerated Representer

1Suomi-NPP in NAVDAS-AR

ATMSOperationally assimilated using JCSDA CRTMImproved coverage compared to AMSU-A/MHSImproved performance of water vapor channels compared to MHS, both spectrally and in noise performance

OMPSDelivered OMPS Nadir Profiler (NP) assimilation methodology to operations; currently pending OPSTESTFirst use of passive tracer assimilation capability in NAVDAS-ARTransferred along with SBUV/2

CrISIn experimental assimilation using JCSDA CRTMRefining cloud detection methodologyExamining innovation and increment statistics to:Refine observation errorHollingsworth-Lnnberg and Desrozier techniquesRefine channel selectionAdjoint methods: Forecast sensitivity to observation error

2Outline

Current ATMS operational performanceHow does the impact of ATMS compare with other Microwave (MW) and Infrared (IR) sensorsHow has ATMS looked from a stability standpointWhat components could be added for additional ATMS impacts

Ozone in the Navy global model and OMPS assimilationNavy Global Environmental Model (NAVGEM) Ozone analysisPassive tracers in NAVGEM and NAVDAS-ARImpacts of OMPS-NP and SBUV/2 on NAVGEM Ozone field

Current development work with CrISChannel selection and questionsData thinning, current strategy and conceptsObservation errors as diagnosed from innovation statistics

Summary and Future Directions

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NCODANRL Coupled Ocean Data Assimilation System Multivariate Analysis of ocean u,v,T,s,ice,SSH,SWH. Global, Regional, Local Ocean Data Assimilation.NAVDASNRL Atmospheric Variational Data Assimilation System 3D Variational Analysis, Observation Space. Global, Regional, or Local Application. NAVDAS-ARNAVDAS Accelerated Representer 4D Variational Analysis, Weak Constraint, Model Space. Global or Regional Application. High Altitude DA. ADJOINTSNAVDAS(AR) Adjoints of 3D & 4D Data Assimilation Systems NOGAPS TLM; Moist Adjoint COAMPSTLM; Moist Adjoint, including explicit moist physics NAVOBSNAVDAS-Adjoint OBservation Monitoring System Real-time monitoring of all data assimilated. Identification of observation quality problems. Real-time data selection and data targeting.EnsembleDAEnsemble Kalman Filter Algorithm Testing for COAMPS using real observations. EnKF/4DVAR Hybrid for the NAVDAS-AR framework. Navys Data Assimilation Tools

4Operational Use of ATMSATMS is treated as a primary sensor and has a first priority weighting along with MetOp-B, DMSP-F18, and NOAA-18.A 36km Gaussian 100pt filter is used to scene average the dataThe ATMS data are thinned to ~135km before assimilationIn addition to quality flags in the data itself; a sea ice, cloud liquid water and scattering index is generated and applied to water vapor and tropospheric temperature channelsOperational bias correction is variational; however, a Harris-Kelley offline type is available

Operational Use of ATMS

N = 200* pre-computed closest points*note: a 100-point filter is used operationallyGaussian AverageBoxcar Averages: Scan Position, b: Beam positionChannelFull Res3x3 BoxcarGaussian =25kmGaussian =36kmGaussian =50km70.430.370.360.360.3780.360.290.300.300.3190.450.380.380.380.39100.460.320.330.320.34110.560.330.330.320.33120.640.430.430.420.43130.900.560.540.520.52141.240.720.690.660.65152.041.181.121.061.04ATMS Spatial Smoothing Effects on OB-BK StDvDTG: 2012070412

Operational Use of ATMSMonitoring of operational data streams at FNMOChttp://www.nrlmry.navy.mil/metoc/ar_monitor/

RadgramsGlobal mean and stdv of innovationZonal InnovationLatitudinal dependence of mean and stdvObservation ImpactReduction of NWP error due to observation

Monitoring of ATMS

Currently, the global NAVGEM model is re-initialized every 6-hours with an external Ozone fieldAdded capability to assimilate OMPS-NP while maintaining ability to assimilate SBUV/2This fully utilized and developed the passive tracer assimilation in NAVDAS-ARAdded diagnostics for passive tracers (increment, etc.)Passive tracer can be other trace gasses or dustShortened the vertical correlation length scale for OzoneFor radiances use the Ozone profile from the model rather than a default profileExplored assimilation of IASI sounding channel in Ozone bandOMPS - Ozone Assimilation

NAVGEM Ozone background is shows well-behaved vertical distributionsOzone vertical profile at IASI locationsIn the future we may assimilate IASI channels sensitive to OzoneSo we examined the Ozone profiles at all IASI locations

10Ozone AssimilationTracer Assimilation: Ozone profiles from SBUV/2 and OMPSAdd Tracer Assimilation capability for passive species.Implemented for Ozone retrievals from SBUV/2 and Suomi NPP-OMPS.

NEW - With Ozone AssimilationOLD - NOAA InitializationDelivery in FY14 will allow removal of dependence on external NOAA field.

CrIS is treated as a primary sensor and has a first priority weighting along with MetOp-B, DMSP-F18, and NOAA-18.Data is selected for only a single FOV of the 9 per golf ballThe CrIS data is thinned to ~135km before assimilationA Hamming apodization is performed on the radiances before conversion to brightness temperature to match coefficients in JCSDA CRTMIn addition to quality flags in the data itself; a cloud screen is applied using the innovation similar to IASI and AIRS, if a cloud is detected water vapor channels will not be assimilated for that pixelExperimental bias correction is variational; however, a Harris-Kelley offline type will be developed before delivery to operationsCrIS Assimilation

CrIS Assimilation

CrIS performance continues to meet expectations for the sensorThe large volume of data requires extra care in efficiency and modularity of the code to meet operational time constraintsThe current real-time feed is 1317 unapodized channels processed at AFWA and which arrive at FNMOC through a bent-pipe from NESDISThere is some concern that operations may not support archival of the data stream indefinitely

CrIS Assimilation

Monitoring of CrIS

Summary

Does ATMS have positive impact to Navy Global NWP?Yes, ATMS has consistently shown a positive impact to global NWP in the NAVGEM/NAVDAS-AR system. The impact is very similar to that of a combined AMSU-A/MHS sensor suite from the NOAA satellite series.

Will Ozone from OMPS-NP be used operationally?Yes, the next system NAVGEM v1.2.1 has been delivered to FNMOC and is pending an OPSTEST. It includes Ozone assimilation from OMPS-NP and SBUV/2. This does not have a dramatic impact on the global atmospheric forecasts, particularly in the troposphere.

Will CrIS be operationally assimilated?Certainly, the CrIS sensor has shown great promise as an addition to the NAVDAS-AR system. It continues to undergo development, and is slated for release with NAVGEM v1.3.x, and will include both temperature and moisture channel assimilation.

16Future Directions

Explore more dynamic thinning for ATMS, rather than evenly spacedTest any striping mitigation strategies which are proposed and providedInvestigate potential bias correction between SBUV/2 and OMPS-NPExamine impact of improved Ozone chemistry with improved diurnal variation on Ozone assimilation and model temperatures and fluxes in mid to upper stratosphereContinue to bring CrIS assimilation to operational readinessAdd radiance components to land surface assimilation schemeBegin testing MW (and IR) cloudy assimilation strategies

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