Deutscher Wetterdienst status reportDeutscher Wetterdienst status report

Reinhold Hess

Montreal 2004

17th North America-Europe Data Exchange Meeting28-28 May 2004, Montreal

Reinhold Hess, 2

Deutscher Wetterdienst status report

Overview:• Main Events in NWP since the last report

• Pseudo Temps• Data Usage

• 1D-Var for ATOVS• Modis Polar Winds• SATOBS with QI• AIRS

• Related Research at DWD• Résumé

Montreal 2004

Reinhold Hess, 3 Montreal 2004

Main Events in NWP since the last report

Model System:

GME (Global Model): hydrostatic, icosahedral-hexagonal grid, mesh size ~60kmterrain following hyb. coordinate, 31 layersforecast range: 174h initial dates 00, 12 UTC and 48h for 18 UTC

new: prognostic cloud ice, prognostic sea ice

Analysis: OI, 3-hourly intermittent analysis, observation window +/- 1.5hobservations: conv., AIREP, AMDAR, ACARS, SATEM (NOAA 15, 16),

SATOBS (GOES E and W, GMS, Meteosat 5 and 7), PAOBnew: MODIS-Winds, PSEUDO-temps

cutoff: 2h30 (for forecasts)

Reinhold Hess, 4 Montreal 2004

LM (Local Model): non-hydrostatic, rotated latitude-longitude grid, mesh size 7kmterrain following hyb. coordinate, 35 layersforecast range: 48 for initial dates 00, 12, 18 UTC

new: prognostic cloud ice, prognostic rain

Model System:

Analysis: continuous nudgingobservations: conv., AIREP,AMDAR,ACARScutoff: 2h30variational soil moisture analysis

Main Events in NWP since the last report

Reinhold Hess, 5 Montreal 2004

Assimilation of IFS Pseudo Temps

Data Coverage

Use Profiles of IFS/4D-Var Analyses as Temps for OI/GME

Assimilation one time per day for 0 UTCinto Main Analysis only

(operational since Dec 17 2003)

Reinhold Hess, 6

Data Usage (ATOVS)

Assimilation of 1D-Var Profiles in OI

• Level 1c ATOVS from UKMO (NOAA 15, 16 and 17)• Channel Choice: AMSU-A 5-14 (HIRS deferred)• Bias-Correction: UKMO-Style (scan angle and mass, A4 and A9)• MW Rain/Ice-detection (Kelly and Bauer/ECMWF)• Assimilation as SATEMS in OI (geopotential thicknesses, PWC)

Montreal 2004

Status: Trial Experiments

Reinhold Hess, 7

Monitoring:

Routine MonitoringAuto-Alarm (email)

Time Series of observed andsimulated brightnesstemperatures

Selection:• variable (also differences)• satellite• area• channel

Montreal 2004

Data Usage (ATOVS)

Reinhold Hess, 8

red: Routine with (Pseudo T.), green: Routine (without Pseudo T.) , blue: 1D-Var

ANOC GEOP 500 hPa0 UTC 12 UTC

Trial Experiment 20040222-20040307

Montreal 2004

Data Usage: ATOVS

Reinhold Hess, 9 Montreal 2004

• operational use of Modis Polar Winds (CIMMS Product)• usage only for assimilation run due to timeliness• comparison of NOAA/NESDIS and CIMMS Product under way

Data Usage: Modis Polar Winds

0 UTC 12 UTCANOC GEOP 500 hPa

Reinhold Hess, 10 Montreal 2004

Data Usage: SATOBS in BUFR with QI

• comparison with conventional SATOBS• evaluation of QI as ECMWF• slight improvement for southern hemisphere• neutral for northern hemisphere• thinning from 60 to 200 km neutral• interest in pre-thinned data product

Reinhold Hess, 11 Montreal 2004

Data Usage: AIRS

• Work has started to assimilate advanced infra-red sounders • Data Reception/Storage of AIRS-Data (thinned, 324 channels) • Monitoring (Global Coverage, “Tartan-Plots”)

Status:

Plan:• Assimilate directly or as profile-product in 3D-Var in 2006

Reinhold Hess, 12 Montreal 2004

Development of PSAS (3D-VAR)

Minimisation in Observation Space rather than Model Space

Conventional 3D-VAR (MSAS, Model Space Assimilation System)solve:

(physical space assimilation system, dual space, observation space)

PSAS (OSAS, Observation Space Assimilation System)solve:

• more flexibility in definition of B• observation space smaller than model space !?!• minimisation costs become quadratic in number of observations

Related Research at DWD

Reinhold Hess, 13 Montreal 2004

Assimilation of AIRS (IASI)

Work Plan:

• 12/2004 Technical Environment 1D-Var (Monitoring, Data Selection)• 12/2005 Experiments, Tuning, Cloud Detection, etc.• 12/2006 Assimilation with 1D-Var (OSAS/3D-Var)

(Interest in Products!!!)

Related research at DWD:

• Adaptive vertical Error Correlations for 1D-Var• Flexible Error Correlations for OSAS/3D-Var

• Ensemble Kalman Filter

Reinhold Hess, 14 Montreal 2004

Adaptive Vertical Error Correlations for 1D-Var

(depending e.g. on vorticity)

Related Research at DWD

Reinhold Hess, 15 Montreal 2004

Status and Plans

Résumé:

• Operational Use of SATEMS, SATOBS, Modis-Winds (CIMMS)• Pre-Operational: ATOVS with 1D-Var and OI (substituting SATEMS)• Operational Interests in

• BUFR-SATOBS• Modis-Winds (NOAA/NESID)• Quickscat Scatterometer• AIRS

• Prototype of OSAS/3D-Var (direct Assimilation of ATOVS, AIRS)• but also Interest in AIRS/IASI-Retrievals

Reinhold Hess, 16

Many thanks foryour attention!

Montreal 2004

Deutscher Wetterdienst status report