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Atmospheric data for Arctic modeling

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Atmospheric data for Arctic modeling. John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal, July 2009. Three categories of atmospheric observations:. Routine measurements for input to NWP models - PowerPoint PPT Presentation
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Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal, July 2009
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Page 1: Atmospheric data for Arctic modeling

Atmospheric data for Arctic modeling

John Walsh

International Arctic Research Center

University of Alaska, Fairbanks

Arctic System Modeling Workshop, Montreal, July 2009

Page 2: Atmospheric data for Arctic modeling

Three categories of atmospheric observations:

1) Routine measurements for input to NWP models

2) Special observing networks

3) Short-duration field campaigns

Page 3: Atmospheric data for Arctic modeling

Three categories of atmospheric observations:

1) Routine measurements for input to NWP models

2) Special observing networks

3) Short-duration field campaigns

+

Value-added products: reanalyses

gridded fields (e.g., CRU)

Polar Pathfinder products

Page 4: Atmospheric data for Arctic modeling

Routine measurements – in some respects, the Arctic is well-covered

surface synoptic network rawinsonde network buoy, ship reports aircraft reports satellite measurements (profiles of T, q, wind)

Archived in reanalysis ingest data banks

(e.g., PREPBUFR files at NCAR)

Page 5: Atmospheric data for Arctic modeling

Surface station observations Upper-air rawinsonde observations

Page 6: Atmospheric data for Arctic modeling

Surface ship and ocean buoy reports

7-days

Page 7: Atmospheric data for Arctic modeling

Reports from commercial, military, and reconnaissance sources

7-days: 01/01/2003 - 01/07/2003

Page 8: Atmospheric data for Arctic modeling

Satellite-derived temperatures

7-days

Winds derived from satellite observed cloud drift analysis

7-days

Page 9: Atmospheric data for Arctic modeling

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

01/01/2003

00Z

Page 10: Atmospheric data for Arctic modeling

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

01/01/2003

06Z

Page 11: Atmospheric data for Arctic modeling

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

01/01/2003

12Z

Page 12: Atmospheric data for Arctic modeling

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

01/01/2003

18Z

Page 13: Atmospheric data for Arctic modeling

SID=BAW269 , YOB= 60.00, XOB=340.00, ELV=10058, DHR=-0.550, RPT= 17.450, TCOR=0, TYP=130, TSB=0, T29= 41, ITP=99, SQN= 26PROCN= 0, SAID=***RCT= 18.08, PCAT=*****, POAF=***, DGOT=***---------------------------------------------------------------------------------------------- level 1 obs qmark qc_step rcode fcst anal oberr category ----------------------------------------------------------------------------------------------PRESSURE (MB) 262.0 2. PREPRO ***** ******** ******** ******** 6.SP HUMIDITY(MG/KG) ******** ****** ***** 35.0 35.0 ******** 6.TEMPERATURE (C) -62.0 1. PREPACQC 17. -61.1 -60.9 1.7 6.TEMPERATURE (C) -62.0 2. PREPRO ***** -61.1 -60.9 1.7 6.HEIGHT (METERS) 10058.0 2. PREPRO ***** 9708.0 9724.0 ******** 6.U-COMP WIND (M/S) 4.4 1. PREPACQC 17. -2.3 1.8 3.6 6.U-COMP WIND (M/S) 4.4 2. PREPRO ***** -2.3 1.8 3.6 6.V-COMP WIND (M/S) 2.6 1. PREPACQC 17. 4.8 2.1 3.6 6.V-COMP WIND (M/S) 2.6 2. PREPRO ***** 4.8 2.1 3.6 6.WIND DIR (DEG) 240.0 ****** PREPRO ***** ******** ******** ******** 6.WIND SPEED (KNOTS) 10.0 ****** PREPRO ***** ******** ******** ******** 6.

Sample PrepBUFR observations:

SID=48582 , YOB= 82.85, XOB=194.99, ELV= 0, DHR= 1.883, RPT= 19.883, TCOR=0, TYP=180, TSB=*, T29=562, ITP=99, SQN= 203PROCN= 2, SAID=***PMO=******, PMQ=**---------------------------------------------------------------------------------------------- level 1 obs qmark qc_step rcode fcst anal oberr category ----------------------------------------------------------------------------------------------PRESSURE (MB) 988.2 2. PREPRO ***** 987.6 987.4 1.6 0.SP HUMIDITY(MG/KG) ******** ****** ***** 234.0 239.0 ******** 0.TEMPERATURE (C) -33.3 2. PREPRO ***** -32.8 -32.8 2.5 0.HEIGHT (METERS) 0.0 2. PREPRO ***** -4.0 -5.0 ******** 0.

Page 14: Atmospheric data for Arctic modeling

PrepBUFR dataQuality Control Flags

0) Keep (always assimilate)1) Good2) Neutral or not checked (default) -- e.g.,

IAOBP T and P obs are flagged as QC=23) Suspect4) Rejected (don’t assimilate)

** Rejected obs. have an additional flag layer indicating justification (e.g., conflicts with a pre-existing QC=0; threshold test failure, etc.)

Page 15: Atmospheric data for Arctic modeling

2) Examples of special observing networks

• International Arctic Buoy Network

( + Russian NP stations)• Greenland automated weather stations• Trace gas/chemical sampling (NOAA CMDL)• Baseline Surface Radiation Network (BSRN), ARM• International Arctic System for Observing the

Atmosphere (IASAO)

Page 16: Atmospheric data for Arctic modeling

Tiksi, Russia

Alert, Canada

Barrow, Alaska

Eureka, Canada

Summit, Greenland

Ny-Alesund, Svalbard

IASOA Target Observatories

IASAO

Page 17: Atmospheric data for Arctic modeling

IASAO: International Arctic System for Observing the Atmosphere

Page 18: Atmospheric data for Arctic modeling

3) Short-duration field programs

-- process studies for algorithm development, model validation

• SHEBA• ATLAS, LAII Flux Study• ARM field campaigns• OASIS• IPY cruises

… others

Page 19: Atmospheric data for Arctic modeling

Problem areas

• Precipitation, especially solid precip (snowfall, depth, water equivalent)

• Clouds

• Aerosols

• … others


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