status and plans for satellite data assimilation at the ... · eunhee lee1, youngchan no2, yoonjae...

1
Eunhee Lee 1 , Youngchan No 2 , Yoonjae Kim 1 , Jung-Rim Lee 1 , Sangwon Joo 1 , Hyun-Cheol Shin 1 and B. J. Sohn 2 1 Korea Meteorological Administration, 2 Seoul National University The 20 th International TOVS Study Conference, 28 Oct. - 3 Nov. 2015 KMA INTRODUCTION SATELLITE IMPACT IN NWP Satellite impact evaluation using FSO RECENT CHANGE OF IASI DA Direct readout IASI radiance assimilation WORK in Progress KOMPSAT-5 RO data assimilation into KMA global model(GDAPS) Ground-based GNSS data assimilation into KMA local area model(LDAPS) GNSS DATA ASSIMILATION steady effort to assimilate new satellite data (S-NPP, Himawari-8 etc. ) observation error tuning for ground-based GNSS data and other satellite data KOMPSAT-5 RO data assimilation will be implemented in operation Status and plans for satellite data assimilation at the Korea Meteorological Administration Operational NWP system E-ASIA UM 12kmL70 (top=80km) Target Length 87hrs/72hrs (6 hourly) Initialization : 4DVAR GLOBAL Resolution N512L70 (UM) (~25km / top = 80km) Target Length 288hrs (00/12UTC) 87hrs (06/18UTC) Initialization : Hybrid Ensemble 4DVAR Extended LOCAL 1.5kmL70 (UM)/ ENDGame (10761148 / top =39km) extended reduced resolution zone LOCAL Resolution 1.5kmL70 (UM) (744928 / top =39km) Target Length 36hrs (3 hourly cycle) Initialization : 3DVAR 4x4km 4x4km 4x4km 4x4km 1.5x4km 1.5x4km 4x1.5km 4x1.5km 1.5x1.5 km (2016. 6) Satellite data usage eXtended domain exp. with ENDGame Type(Sensor) Satellite Variables (control variables) Model domain Global E-ASIA Local ATOVS(G,L) (AMSU-A/B, MHS,) NOAA(15,18,19) MetOp-A/B Radiance(t,q) O O AIRS Aqua Radiance(t,q) O O IASI(G,L) MetOp-A/B Radiance(t,q) O O Satwind(GEO,LEO) COMS, Meteosat-7, MSG, GOES, MTSAT, Aqua, NOAA U,V (IR. WV. VIS channels) O O Scatwind(ASCAT) MetOp-A/B U,V at 10 meter over ocean O O O GNSS-RO COSMIC, GRACE, GRAS, KOMPSAT-5 Bending angle, Impact parameter(t,q) O O Ground-based GNSS AC: NMSC, KASI, NGII(G,L), METG(G) Zenith Total Delay(t,q) O CSR COMS Radiance (WV channel/q) O Soil Moisture(ASCAT) MetOp-A/B Soil moisture O ( : Operation , : Evaluation in Progress) Extended domain exp. shows the improvement of rainfall forecast by the strong synoptic phenomena - FSOs are operationally used to evaluate the impact of satellite data in global NWP - The errors are measured by 24 hour forecast moisture energy norm in global model ( ) ( ) ( ) ( ) fa T fa fb T fb t t t t e w C w w C w fa t w fb t w : 24hour forecast error in a simplified forecast state initialised from an analysis : the error initialised from the background state for that analysis C : a diagonal inner-product matrix of moist energy norm e k : an estimate of the contribution to the total impact of the k th observation y : the vector of observation innovations k k k e e y y Evaluation Period : 2014.12~2015.2 (3months) Contributions: Satellite(50%) > Surface(22%) > Upper (9%) Satellite impacts: LEO( > 70%) ATOVS(39.32%), IASI(21.31%) COMS AMV impacts ~ 4% COMS CSR impacts ~ 0.06% <Data coverage of IASI data (blue: Local, orange: Global)> 20150501 00UTC 20150501 12UTC New channel selection of IASI - KMA has processed direct readout IASI data using the latest version of AAPP(v7.9) since Mar 2015 - Number of IASI is 3% increased at global domain and 13 – 85 % increased at Asia domain <Time series of local IASI data number> positive negative NOAA-19 NOAA-19 positive negative NOAA-19 NOAA-19 AMSU-B AMSU-B AMSU-A AMSU-A Diff of RMSE in O-B (%) Diff of RMSE in O-B (%) Summer Winter IASI 200 channels were selected by 1D-Var simulation approach With the new selection of IASI channels, the ATOVS fits are improved O-B analysis showed improvement of t,q fields Operational application is ongoing(~2016) Impact of new channel selection(200) compared to the operation(183) Atmospheric Occultation and Precision Orbit Determination (AOPOD) system of KOMPSAT-5 - Dual frequency GPS receiver , 2 POD antenna and 2 occultation antenna - More than 460 occultation event per day with similar high quality as COSMIC - Recently firmware has been upgraded, the AOPOD reactivated since 28 July 2015. <Data coverage of RO dat a (left: red- KOMPSAT-5, right: K-5 only)> <Analysis increments by KOMPSAT-5> < After QC (K-5 RO) : 147 142 > - More than 100 stations over Korean peninsula, but only 15 STN hourly data processed in near real time - KMA will be exchanged ground-based GNSS data with E-GVAP using cost format - The ZTD data at each station has a bias, simple static bias correction was applied based on (O-B) - To evaluate ground-based GNSS data, 3 experiments were conducted during Aug. 2014(1month) -0.01 -0.005 0 0.005 0.01 0.015 0.02 0.025 0.03 bias Station meanBIAS 201408_fulldata 201408_onlyUsed 201408_Outlier 20140809_fulldata 20140809_onlyUsed 20140809_outlier <Experimental Description> Period: 2014. 08. 01. ~ 2014. 08. 31. Model: Local model/UM (1.5kmL70) Target Length: 36hrs DA: 3D-var, Time window: 3hr(± 1.5hr) CNTL: KMA operation(without G-GNSS) (used obs- radar, sonde, surface, aircraft, scatwind) Exp1: with G-GNSS after BC Exp2: with G-GNSS no BC 500Z 500T 850T 850W 1000T 100W 1000Z 925T 925Z 925W 500Z 500T 850T 850W 1000T 100W 1000Z 925T 925Z 925W AWS CNTL Exp1 Assimilation of ZTD into KMA local area model has shown a promising result. Exp1 RMSE of overall fields against analysis was reduced compared to CNTL. ETS shows improvement by up to 60%. And rainfall bands well simulated for several heavy rainfall cases. [Courtesy of UCAR] COSMIC FM1 vs ECMWF (Aug 2013) KOMPSAT-5 vs ECMWF (24-25, Aug 2013)

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Page 1: Status and plans for satellite data assimilation at the ... · Eunhee Lee1, Youngchan No2, Yoonjae Kim1, Jung-Rim Lee1, Sangwon Joo1, Hyun-Cheol Shin1 and B. J. Sohn 2 1 Korea Meteorological

Eunhee Lee1, Youngchan No2, Yoonjae Kim1, Jung-Rim Lee1, Sangwon Joo1, Hyun-Cheol Shin1 and B. J. Sohn 2

1 Korea Meteorological Administration, 2Seoul National University

The 20th International TOVS Study Conference, 28 Oct. - 3 Nov. 2015

KMA

INTRODUCTION

SATELLITE IMPACT IN NWP

▣ Satellite impact evaluation using FSO

RECENT CHANGE OF IASI DA

▣ Direct readout IASI radiance assimilation

WORK in Progress

▣ KOMPSAT-5 RO data assimilation into KMA global model(GDAPS)

▣ Ground-based GNSS data assimilation into KMA local area model(LDAPS)

GNSS DATA ASSIMILATION

▣ steady effort to assimilate new satellite data (S-NPP, Himawari-8 etc. )

▣ observation error tuning for ground-based GNSS data and other satellite data

▣ KOMPSAT-5 RO data assimilation will be implemented in operation

Status and plans for satellite data assimilation

at the Korea Meteorological Administration

▣ Operational NWP system

E-ASIA •UM 12kmL70 (top=80km) •Target Length 87hrs/72hrs (6 hourly)

• Initialization : 4DVAR

GLOBAL • Resolution N512L70 (UM) (~25km / top = 80km) • Target Length 288hrs (00/12UTC)

87hrs (06/18UTC)

• Initialization : Hybrid Ensemble 4DVAR

Extended LOCAL •1.5kmL70 (UM)/ ENDGame • (10761148 / top =39km) • extended reduced resolution zone

LOCAL • Resolution 1.5kmL70 (UM) (744928 / top =39km) • Target Length 36hrs (3 hourly cycle) • Initialization : 3DVAR

4x4km

4x4km 4x4km

4x4km 1.5x4km

1.5x4km

4x1.5km 4x1.5km 1.5x1.5km

(2016. 6)

▣ Satellite data usage eXtended domain exp. with ENDGame

Type(Sensor) Satellite Variables

(control variables)

Model domain

Global E-ASIA Local

ATOVS(G,L) (AMSU-A/B, MHS,)

NOAA(15,18,19) MetOp-A/B

Radiance(t,q) O O

AIRS Aqua Radiance(t,q) O O

IASI(G,L) MetOp-A/B Radiance(t,q) O O

Satwind(GEO,LEO) COMS, Meteosat-7, MSG,

GOES, MTSAT, Aqua, NOAA U,V

(IR. WV. VIS channels) O O △

Scatwind(ASCAT) MetOp-A/B U,V at 10 meter over

ocean O O O

GNSS-RO COSMIC, GRACE, GRAS,

KOMPSAT-5 Bending angle,

Impact parameter(t,q) O O

Ground-based GNSS AC: NMSC, KASI, NGII(G,L),

METG(G) Zenith Total Delay(t,q) △ O

CSR COMS Radiance

(WV channel/q) O △

Soil Moisture(ASCAT) MetOp-A/B Soil moisture O

( : Operation , : Evaluation in Progress)

Extended domain exp. shows the improvement of rainfall forecast by the strong synoptic phenomena

- FSOs are operationally used to evaluate the impact of satellite data in global NWP

- The errors are measured by 24 hour forecast moisture energy norm in global model

( ) ( ) ( ) ( )fa T fa fb T fb

t t t te w C w w C wfa

tw

fb

tw : 24hour forecast error in a simplified forecast state initialised from an analysis

: the error initialised from the background state for that analysis

C : a diagonal inner-product matrix of moist energy norm

ek : an estimate of the contribution to the total impact of the kth observation

y : the vector of observation innovations k k

k

ee y

y

• Evaluation Period : 2014.12~2015.2 (3months)

• Contributions: Satellite(50%) > Surface(22%) > Upper (9%)

• Satellite impacts: LEO( > 70%) –ATOVS(39.32%), IASI(21.31%)

• COMS AMV impacts ~ 4%

• COMS CSR impacts ~ 0.06%

<Data coverage of IASI data (blue: Local, orange: Global)>

20150501 00UTC 20150501 12UTC

▣ New channel selection of IASI

- KMA has processed direct readout IASI data using the latest version of AAPP(v7.9) since Mar 2015

- Number of IASI is 3% increased at global domain and 13 – 85 % increased at Asia domain

<Time series of local IASI data number>

positive

negative

NOAA-19 NOAA-19

positive

negative

NOAA-19 NOAA-19

AMSU-B AMSU-B

AMSU-A AMSU-A

D

iff

of

RM

SE

in

O-B

(%

)

D

iff

of

RM

SE

in

O-B

(%

)

Summer Winter

• IASI 200 channels were

selected by 1D-Var

simulation approach

• With the new selection of

IASI channels, the ATOVS

fits are improved

• O-B analysis showed

improvement of t,q fields

• Operational application is

ongoing(~2016)

Impact of new channel selection(200) compared to the operation(183)

Atmospheric Occultation and Precision Orbit Determination (AOPOD) system of KOMPSAT-5

- Dual frequency GPS receiver , 2 POD antenna and 2 occultation antenna

- More than 460 occultation event per day with similar high quality as COSMIC

- Recently firmware has been upgraded, the AOPOD reactivated since 28 July 2015.

<Data coverage of RO dat a (left: red- KOMPSAT-5, right: K-5 only)> <Analysis increments by KOMPSAT-5>

< After QC (K-5 RO) : 147 142 >

- More than 100 stations over Korean peninsula, but only 15 STN hourly data processed in near real time

- KMA will be exchanged ground-based GNSS data with E-GVAP using cost format

- The ZTD data at each station has a bias, simple static bias correction was applied based on (O-B)

- To evaluate ground-based GNSS data, 3 experiments were conducted during Aug. 2014(1month)

-0.01

-0.005

0

0.005

0.01

0.015

0.02

0.025

0.03

bia

s

Station

meanBIAS

201408_fulldata

201408_onlyUsed

201408_Outlier

20140809_fulldata

20140809_onlyUsed

20140809_outlier

<Experimental Description>

Period: 2014. 08. 01. ~ 2014. 08. 31. Model: Local model/UM (1.5kmL70) Target Length: 36hrs DA: 3D-var, Time window: 3hr(± 1.5hr) CNTL: KMA operation(without G-GNSS) (used obs- radar, sonde, surface, aircraft, scatwind) Exp1: with G-GNSS after BC Exp2: with G-GNSS no BC

500Z 500T 850T 850W 1000T 100W 1000Z 925T 925Z 925W

500Z 500T 850T 850W 1000T 100W 1000Z 925T 925Z 925W

AWS CNTL Exp1

Assimilation of ZTD into KMA local area model has shown a promising result. Exp1

RMSE of overall fields against analysis was reduced compared to CNTL. ETS shows

improvement by up to 60%. And rainfall bands well simulated for several heavy rainfall cases.

[Courtesy of UCAR]

COSMIC FM1 vs ECMWF (Aug 2013) KOMPSAT-5 vs ECMWF (24-25, Aug 2013)