LETKF development at CPTEC

LETKF development at CPTEC

José A Aravéquia

GDAD – Data Assimilation Development

Group

CPTEC / INPE / Brazil

Jan 13, 2011

Department of Atmospheric and Oceanic Science UMD-AOSC

UMCP's Weather & Chaos Group - UMD

Assimilate Radio Occultation data and GNSS data

South America Regional Reanalysis (RRAS)

First steps towards Variational QC

Assimilation of Precipitation

Development of Local Ensemble Transform Kalman Filter

(LETKF)

Support for Physical-statistical Space Assimilation System

(PSAS)

Development of surface data assimilation

Development (studies ) of satellite data assimilation (radiances) :

AMSU-A (Aqua-Terra) and GOES-10 (visible and IR)

Development of a Collaborative tool to evaluate experiment

results (statistics using Fortran and free graphical library)

Aerosols data assimilation

Web page for monitoring and divulgation

Activities at GDAD

Simplified Data flow

Preprocessing and Assimilation

Saulo M. de Jesus; Sérgio H. S. Ferreira

CPTEC

ASSIMILATION

LETKF_MCGA/CPTEC

Implementation steps:-LETKF ERIC Interfaces : model MCGA/CPTEC<->

LETKF (It was not easy as we were

thinking before to start);

Coding resolution changes to be

friendly (original T062L28);

Coding for use of NCEP PREPBUF

observations ;

- LETKF TAKEMASA (parallel version, T062L28)

- Actual effort : tuning experiments.

Goal : To produce operational analysis and forecast using LETKF - MCGA/CPTEC

Solange S. de Souza; José A. Aravéquia; Paulo Kubota

LETKF/MCGA_T126L28 using AMSU-A radiances

Temperature RMSE – Area mean over South America

Analysis and Forecast (48h)‏ LETKF: 20 members

CRTM

Maria das Dores Medeiros – Master degree dissertation thesis

Radio Occultation GNSS Assimilation

(Global Navigation Satellite System)

Luiz F. Sapucci, Derek S., et al.

6 satellites – COSMIC project Assimilation of COSMIC profiles

within PSAS:

– First experiments are now been

evaluated;

Future experiments will be using

LETKF:

– Developing observation

operator to assimilate

refractivity profiles.

(2500 profiles/day)

Ground GPS receptors network over Brazil

Assimilation of GNSS surface station data

In pre-operational mode in PSAS :

using IWV information;

Is planned to be used in LETKF :

using Zenithal delay information (direct

information).

Observation network expansion in place:

• Brazilian Continuous Monitoring Network

(IBGE-INCRA): 67 stations;

•São Paulo state network ( FAPESP): 11

stations;

•SIPEC Project Geophysics INPE

(Petrobras-INPE): 85 station;

Total 163 station

A scientific designed GPS receptor over surface gives troposphere zenithal delay

measures that are used to retrieve IWV values.

Luiz F. Sapucci, Derek Silva, et al.

Simulation of GOES-10/12 radiancesOBS –F (CRTM(ETA-RPSAS))

Bruna Silveira , J. A. Aravéquia

Simulation of GOES-10/12 radiancesOBS –F (CRTM(ETA))

Bruna Silveira , J. A. Aravéquia

Simulation of GOES-10/12 radiancesOBS –F (CRTM(GFS))

Bruna Silveira , J. A. Aravéquia

Regional Reanalysis - CPTEC 20km

RPSAS/EtaWorkstation - 10 years

Goal : To provide to meteorological community regional gridded analysis over

South America with high resolution for the period of 2000 – 2009.

Needs:

Storage: 9 Tb Disc space;

Computer resource (4 processors to PSAS and 32 to Eta model):

14.600 hours (in the UNA cluster);

10.220 hours – “split period” run version (runs fast, but could have

spin up problems).

Availability of new supercomputer CRAY XT6

Luiz F. Sapucci, Derek Silva, et al.

Precipitation Assimilation in the Eta+RPSAS 20 km

Carlos F. Bastarz; Julio P. R. Fernandez; Dirceu L. Herdies

GOES 8 (20030123-06Z)

Precipitation Assimilation – TRMM 3B41

Scheme: Precipitation Nudging at First Guess (Convective

Adjustment at grid point) in the Eta Model;

Method: based in Carr and Baldwin 1991, similar to the

EDAS no NCEP (last version – 2005);

Assimilation: instantaneous rate (mm/h) along 3 hours

period;

Improvement : at First Guess (6 hours fcst) and Analysis

MCC – Jan 23, 2003

CAP: with precipitation data assimilated;

SAP: : without precipitation data assimilated;

Forecast 6h (CAP) it reproduces the MCC

precipitation – First Guess;

SA

PC

AP

TR

MM

Aerosols Assimilation < 2.5 µm (PM25)

Gabriel B. Münchow; Judith J. Hoelzemann; Karla Longo; Dirceu Herdies; Saulo Freitas

Land Data Assimilation

1. Simulation of Surface: 28 years

(1979-2006) / MERRA – LIS

2. Surface Reanalysis (2000-2004) /

SALDAS – LIS

3. Surface Multi Model Ensemble

(2000-2004) / SALDAS – LIS

4. High Resolution simulation for La

Plata Basin (1 km) SALDAS – LIS

João Gerd Z. de Mattos, Luis Gustavo G. de Gonçalves

2009/2010 Progress

La Plata basin volumetric

soil moisture at 1Km

resolution (January 2000)

La Plata basin integrated

total runoff (Kg/m2) at 1Km

resolution (January 2000)

High Resolution Simulation over LPB

(a)

(b)

Correction and Downscaling of TRMM

Precipitation

•Domain : South America

•Resolution: 10 Km

•Period: 2000 – NowVila et al., 2009 - JHM

TRMM Corrigido

De Goncalves et al., 2009 - JHMSALDAS (South American Land Data Assimilation System)

Tool for evaluation of experiments results:

SCAMTeC – Community Tool for Experiments Results Evaluation

João Gerd, Luiz Sapucci, Carlos Bastarz, Derek Schubert,

Ronaldo Ribeiro, Luis Gustavo.

Data assimilation WebPage – Results,

Monitoring Tools and Documentations

http://assimila.cptec.inpe.br

Andresa Fogaça; Saulo Magnum; Luis Fernando Sapucci; Dirceu Luis Herdies

Future Goals for GDAD team

Main Goals (2010-2011)

1. Operational Implementation of LETKF for MCGA-CPTEC

2. Development of variational QC

3. Use of Level 1 observations in LETKF

models‏regional‏CPTEC’s‏for‏LETKF‏of‏Implementation‏.4

D.A. of non-conventional data, like GNSS (Radio Occultation)

Support for ensemble forecast suite using LETKF analysis

D.A. of earth surface variables (off-line and coupled mode) within

MCGA-CPTEC and regional models

Support for ocean D.A. (using LETKF)

Aerosols and chemistry D.A. Regional and Global model

High resolution Regional Re-Analysis over South America

(RPSAS)

Development of RADAR and Precipitation D.A.

Support for operational of PSAS suites (while it last!)

How GDAD is going to achieve those goals ??

Human Resources:

Amanda V. da Silva (Curs. Gestão Empr. FATEC)

Office

Andreza Fogaça Coelho (Bel. Unisal)

Web Designer

Carlos Bastarz (MSc. INPE)

Precipitation D.A.

Dérek S.V. de Souza (Bel. FATEC)

Computer Support

Dirceu Luis Herdies (Dr. USP)

PSAS, Regional Modeling, QC

João Gerd Zell de Mattos (MSc. INPE)

Surface D.A.

José Antonio Aravéquia (Dr. USP)

Retrievals and radiances D.A., Kalman Filter

Julio Pablo R. Fernandez (Dr. INPE)

AD Kalman Filter, Regional Model

Luiz Fernando Sapucci (Dr. UNESP)

AD PSAS, radio occultation, reanalysis

Ronaldo Sávio S. Ribeiro (Tec. UniTau)

Saulo Magnum de Jesus (Bel. Unisal)

Programmer, Web Designer

Sérgio Henrique Soares Ferreira (MSc. INPE)

AD PSAS, QC, data processing

Solange Silva de Souza (Dr. INPE)

AD LETFK, convection, global model

Stephen English (PhD. University of Reading)

Team Scientific Coordinator

UKMet Office satellite data specialist

Luis Gustavo G. de Gonçalves (PhD. University of Arizona)

Team Coordinator

Surface D.A.

Luciano P. Pezzi (PhD University of South Hampton)

Collaborator

Ocean D.A.

Judith J. Hoelzemann (Dr. Max Plank)

Collaborator

Aerosols and chemistry D.A.

Gabriel (MSc. INPE)

Master Student

Aerosols and chemistry D.A.

Maria das Dores da S. Medeiros (Bel.)

Master Student

retrievals, radiances D.A.

Bruna Silveira

Master Student

RTM, Radiances D.A.

Fábio L.R. Diniz (Bel. UFPel)

Master Student

Radiances and RADAR D.A.

How GDAD is going to achieve those goals ??

Human Resources:

Thank you !

Acknowledgement: To present this seminar was possible

thanks to support from CNPq / MCT by

funding the project 454572/2010-7.