Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

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Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members

Transcript of Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Page 1: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Report from DAOS-WG

Roger Saunders and Tom Hamill with input from WG members

Page 2: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Overview

• Highlights from Madison meeting

• Actions from Madison and ICSC9

• WG Matters (membership, meetings)

• Future of DAOS

Page 3: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

DAOS-5 WG meeting Madison, 19-20 Sep 2012

• Update on targeting

• Updates on THORPEX field campaigns

• Review observing systems

• Review developments in data assimilation

• WG mattershttp://www.ssec.wisc.edu/meetings/daos/agenda.html

Page 4: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Targeted Observations

1.Plan to submit a thinnedversion to BAMS during 2013.

2. Analysis of WSR 2010/11 cases

3. WSR 2011/12 case

Page 5: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Impact of Targeted Dropsonde Data on Mid-latitude Numerical Weather Forecasts

during the 2011 Winter Storms Reconnaissance Program

Presented by Tom Hamill

Forecasts and assimilations : Carla Cardinali, ECMWF

Data analysis : Fanglin Yang, NCEP

also: Sharanya Majumdar, RSMAS, U. Miami

Question: will assimilation of mid-latitude dropsonde data have as large an impact as previously shown, given denser observation network, better

assimilation systems and models?

ESRL

Page 6: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

2010/11 WSR campaign

Page 7: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Scatterplot of impacts

For each case wheredropsondes were launched, a downstream target location and verification time are identified. Data are plotted here only for thesetimes/target locations.

Verification area here is a +/- 10 degree box centered on target. Verification norm is an approximation to thetotal-energy norm.

Cases above line indicate benefit from targeted data.

No obvious beneficialimpact.

Page 8: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Selecting target locations for tropical cyclones: SV/adjoint vs. ETKF

Brett Hoover (Univ Wisconsin)

SV/adjoint guidance = strictly based on dynamics of perturbation growth. Suggests target locations around cyclone.

ETKF guidance = estimates reduction of forecast error variance as a result of assimilation at given location based on linear mappings between ensemble forecast perturbations and analysis perturbations. Suggests target locations also along jet stream, commonly in ridges N of TC. These affect cyclone steering.

Page 9: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Summary of targeting• Clear benefits of targeted observations for TC forecasts.• In study with 4D-Var assimilation & ECMWF model, little

impact seen for mid-latitude systems (2011 WSR).• Targeting’s future:

– Global observational network design: use targeting strategies to adaptively select / thin satellite data for assimilation?

– Potential to adapt targeting concepts to work in concert with rapidly adaptable observational resources, e.g., cloud-drift winds from rapid-scan imagery. But: need quick, efficient algorithms.

Page 10: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Concordiasi = CONCORDIA-IASI

A French-US initiative for climate / meteorology over Antarctica

Improve the use of space-borneatmospheric sounders over polar regions, in particularIASI on board MetOp

Benefit from the continentalFrench-Italian station

Concordia

Page 11: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

To the north: Geostationary satellite winds, ship surface obs, commercial aircraft routes

To the south: Antarctic raobs and land surface data, MODIS and AVHRR winds

Analysis Uncertainty, 45°S to 70°S

Winds

AMSU/MHS

Conventional

Analysis differences: observational gap leads to large differences off Antarctica

Page 12: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

NRL AMVs includes LEO-GEO winds, and these have a big positiveimpact in this area.

Observation impact diagnostics, Meteo-France, NASA-GMAO, ECMWF, NRL (obs south of 60 S)

Page 13: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

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CONCORDIASI: Concluding remarks

Both Concordiasi dropsonde and gondola information

have a positive impact on forecast performance

Dropsondes have a larger impact at high latitudes (inside

Antarctic continent)

Large impact of dropsonde wind observations at high

levels, of temperature information at lower levels

Page 14: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Messages for THORPEX

TS Isaac

BecameTS Joyce

Page 15: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Privately owned commercial data provider offers “STORM” leveraging GIFTS technology development

Oct 2010: Licensed by US Dept. of Commerce for hyper- spectral data collection at 6 sites around the world (under the US Remote Sensing Act of 2003)

Promises to restore critical data for severe weather forecasting cancelled from GOES-R and much more at a fraction of the cost, in record time!

Potential Customers: US, top sovereign governments world-wide, and & commercial enterprises 16

Private industry to supply hyperspectral data? GeoMetWatch, a US Company

Page 16: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

3. New and future AMVs/products:Closing the gap with Leo/Geo winds

• Composites of GOES, Meteosat, FY-2, MTSAT, AVHRR, MODIS• AVHRR: Metop A, NOAA-

15, 16, 18, 19• MODIS: Terra and Aqua

• Tracking clouds in infrared window channel, accounting for:• Variable pixel time• Parallax

Page 17: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

3. New and future AMVs/products:Closing the gap with Leo/Geo winds

Impact of Leo/Geo winds: NRL superobbed winds in NASA GMAO GEOS-5

Courtesy of Dagmar Merkova and Ron Gelaro

Page 18: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Messages for THORPEX

• Research satellites/instruments can be valuable as operational data providers, but can fail suddenly without backups (e.g. ENVISAT, AMSR-E are recent examples)

• Satellite data contributions to the GOS by nations increasing (e.g. FY-3, Oceansat-2), to hopefully help fill future gaps

•New privately funded initiatives to provide satellite data

• Impact of satellite data in medium range NWP is dominant in many advanced DA systems

•Research underway to extend/improve use of advanced IR sounders (cloudy rads, use PCs, more data over land etc.)

Page 19: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

GIE/EIG EUMETNET, Registered Number 0818.801.249 - RPM Bruxelles

Distribution of gobal ASAP soundings 2010[input from ASAP report at SOT-VI meeting 2011, author: Rudolf Krockauer, chairperson ASAP Task Team]

6011 Snd. on the GTS

82% E-ASAP fleet

7% RV Polarstern

11% All other (mainly 2 Japanese ships)

Note: Soundings over East Europe are due to longitude errors

3. Performance, Slide 14/30

Page 20: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

GIE/EIG EUMETNET, Registered Number 0818.801.249 - RPM Bruxelles

E-SURFMAR Drifting Buoys

The number of operating buoys significantly dropped in 2011. This was mainly due to a decrease in lifetime of Iridium buoys deployed in 2010-2011.Since June 2012 the number of operating buoys has been increasing again.Problems with short buoy lifetimes seem having been fixed.

The E-SURFMAR design study (2004) recommended 175 drifting buoys.

0

20

40

60

80

100

120

Jan-02 Jan-03 Jan-04 Jan-05 Jan-06 Jan-07 Jan-08 Jan-09 Jan-10 Jan-11 Jan-12

Nu

mb

er

of

bu

oy

s

Arctic

Others (e.g. EC)

Upgrades Argos

Upgrades Iridium

SVP-BW

Argos SVP-B

Iridium SVP-B

FGGE-W

FGGE

Page 21: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Observational issues

Transition to BUFR for radiosondes provides new opportunities TAMDAR Water Vapour AIREPS increasing Global provision of GPS total zenith delay data Further delay in ESA wind lidar GEO-LEO AMVs proving beneficial should become operational Common format for rain radar data. To improve estimates of solid precipitation and develop guidance on the accuracy and temporal resolution of solid precipitation parameters.New observations needed for convective-scale models

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Differences between operational analyses

1. Quantify the uncertainty (differences) in current operational analyses of the atmosphere – height, temperature, winds

2. Consider implications of analysis uncertainty for NWP and plans for the future global observing network

Analysis differences are a proxy for actual analysis error, which cannot be precisely quantified

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300mb wind speed (2010) GFS / ECMWF differences Root-Mean Square of Analysis Differences: 300mb Wind Speed

Note the very significant effect of in-situ wind observations:Radiosondes and Commercial Aircraft

ms-1

200820092011

2010Langland and Maue 2011

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GFS | ECMWF Root mean square difference of analyzed 300mb wind speed: July 2009 – June 2011

70414

Uncertainty in atmospheric upper-tropospheric wind analyses is substantially lower in locations where radiosonde data is provided. The blue-shaded areas are locations where raobs provide soundings twice-daily (00z and 12z). Station 70414 provides data only at 12z, so the associated reduction in analysis error at that location is mitigated, but still significant.

Radiosonde stations on the budget chopping blockExample: Eareckson Air Station (Shemya) 70414

March 2012: NRL received a message from NUOPC (National Unified Operational Prediction Capability), that NOAA was trying to convince USAF not to end soundings at station 70414. Previously in 2008, soundings were reduced to one per-day (12UTC). This station is in top 10% world-wide for error reduction (NRL study).

ms-1

Shemya Island

Langland and Maue 2011

Page 25: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Analysis spread, 250 hPa u component

Large differencesin estimates ofzonal wind alongequator.

In initializingglobal ensemblepredictions, arewe accountingfor this sort ofanalysisuncertainty?

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Page 26: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Aerosol assimilation case Study: Severe weather April 27th, 2011 (Huntsville tornado)

• MODIS aerosol optical depth (AOD) shows significant aerosol loading over Gulf within warm sector of storm

• RAQMS surface Black and Organic Carbon (BCOC) analysis shows highly elevated aerosols

• RAQMS used to initialize and provide lateral boundary conditions for 4km WRF-CHEM with explicit (MOSAIC) aerosol/cloud interaction

26th

27th

28th

Aeronet AOD Louisiana

WRF-ChemOBS

Page 27: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

WRF-Chem + RAQMS BC

WRF no aerosols

SPC 12hr precip and tornado tracks valid 06Z on April 28, 2011

Case Study: Severe weather April 27th, 2011 (Huntsville tornado)

Inclusion of aerosol cloud interactions significantly impacts the predicted precipitation distribution and improves forecast over Huntsville, AL

WRF-CHEM simulations conducted by Pablo Saide in collaboration with Greg Carmichael and Scott Spak (U-Iowa)

Page 28: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.
Page 29: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Data Assimilation TerminologySuggestions based on usual current usage.

“hybrid” applies to covariance, not method. E.g. “hybrid 4D-Var” blend of stationary, ensemble-estimated covariances used in 4D-Var

EnKF, ETKF, etc. acronyms indicate method of updating ensembles

3D-Var, 4D-Var, EnVar, etc. generate a single best estimate, unless specified e.g. “An ensemble of 4D-Vars”

4D-Var always uses a forecast model and adjoint to generate time−covariances

4D-EnVar, 4DEnKF, etc. use the ensemble to generate time−covariances. (The 4D may be omitted)

— in 4D-Var, 3D-Var was standardised by Ide et al 1997 (and QJ), but not elsewhere. It may be omitted in new names.

© Crown copyright Met Office Andrew Lorenc ECMWF Seminar 2011 35

Page 30: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Actions from DAOS-5Carried forward from DAOS 4  Action 4-3: All DAOS members to provide recommendations on links to data monitoring sites and to other field campaign sites of interest.  Action 4-4: Consider organising future DAOS “back to back” with the MWFR meeting as a workshop (Co-Chairs/D. Barker).

Action 4-8: The DAOS WG should consider taking a leading role in organising the next WMO DA symposium

DAOS 5 New Actions

Action 5-1: DAOS-WG members to assess if they have any observations or model outputs to contribute to the four high-impact precipitation African RC case studies:E. Africa October Oct 17-28 1997; S. Africa Nov 11-12 2008; N. Africa Nov 29-30 2010; W. Africa Sept 1 2009

Page 31: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Actions from DAOS-5Action 5-2: Submit peer review paper on 2010/11 ECMWF WSR impact study (T. Hamill, S. Majumdar & C. Cardinali) Action 5-3: Submit BAMS paper on targeting (S. Majumdar) Action 5-4: Look at observation sensitivities and possibly run a short OSE for Jan 2012 period where dropsondes had a sustained high impact in the GMAO system (R. Gelaro and C. Cardinali)

Action 5-5. The terminology for adjoint sensitivity impacts should be discussed and agreed (Ron Gelaro and Carla Cardinali)

Action 5-6: The USA and Europe are encouraged to liaise concerning the issue of wider exchange of GPS data (R. Saunders with Z. Toth) 

Page 32: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Actions from DAOS-5 Action 5-7: The working group recommends to NOAA that GEO-LEO AMVs are made available to NWP centres in BUFR.   Action 5-8: GMAO to continue to investigate why the NRL GOES AMVs give more impact than the operational AMVs and report at the next meeting. (R. Gelaro) Action 5-9: A DAOS representative to attend CBS workshop on radar data exchange in Exeter in Nov 12 (R. Saunders)

Action 5-10: The working group recommends to NOAA that the successor to CrIS provides the contiguous infrared spectrum to users to maximise the information content for assimilation in NWP and climate. A reduction in the field of view should also be considered for maximising clear sky scenes. 

Page 33: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Actions from DAOS-5Action 5-11: Circulate a proposal for a common terminology for hybrid ensemble variational methods and circulate it to DAOS and WGNE for comment. (A. Lorenc) Action 5-12: The co-chairs to request approval of the changes to DAOS-WG membership as outlined in the report to ICSC-10.

(Co-Chairs) . 

Page 34: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Actions from ICSC-9Action 8: The USA and Europe are encouraged to liaise concerning the issue of wider exchange of GPS total zenith delay data (with Zoltan Toth)

Action 9: Maintain close links with EGOS on evolution of the GOS and definition of optimum network

Action 10: The ICSC encouraged DAOS to consider DA for convective scale models.

Action 15: All THORPEX WGs to examine how they can further develop activities to assist the African RC

Page 35: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

Current proposed membershipTom Hamill(D), Co-chair

NASA, USA

Roger Saunders(O), Co-chair

Met Office, UK

Stefan Klink(O)

DWD, Germany

Carla Cardinali(D)ECMWF

Chris Velden(O)Univ Wisconsin-CIMSS,

USA

Ron Gelaro(D)NOAA, USA

Tom Keenan(O)CAWCR, Australia

Rolf Langland(D)NRL, USA

Bertrand Calpini (O) MeteoSwiss, Switzerland

Andrew Lorenc(D)MetOffice, UK

Florence Rabier(D/O)Météo-France

Prof. Bin Wang(D), Chinese Academy of Sciences, China

Michael Tsyroulnikov(D)HydroMet Centre, Russia

Mark Buehner (D)Environment Canada

Sharan Majumdar (D) RSMAS, Univ Miami,

USA

Darryl Kleist(D), NCEP, USA

Needs approval by ICSC-10 O=Observations D=Data Assimilation

Page 36: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

DAOS-WG Future Meetings• Propose to hold next dedicated DAOS-

WG meeting in 2014

• Location TBD (probably Europe)

• Allow more time for discussions (fewer/shorter presentations)

• Co-ordinate next WMO Data Assimilation Symposium in Late 2013

Page 37: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

DAOS-WG Future (1)• Recognised as leading group for DA in

WMO

• Acknowledged by WGNE which has less focus on DA.

• Strong links with ET-EGOS, MWFR, ….

• DAOS remains a global focus not mesoscale 1 day to seasonal timescales

• Joint meeting with MFWR under discussion

• Continue mix of Observations and DA

Page 38: Report from DAOS-WG Roger Saunders and Tom Hamill with input from WG members.

DAOS-WG Future (2)

• Membership to evolve but size of group remains about the same

• Proposal is for DAOS-WG to become a sub-group in WWRP

• Strong links would be retained with any THORPEX-Follow-OnTHORPEX-Follow-On project

• ICSC invited to comment