Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of...

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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

Transcript of Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of...

Page 1: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Surface station observations Upper-air rawinsonde observations

Page 6: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Surface ship and ocean buoy reports

7-days

Page 7: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Reports from commercial, military, and reconnaissance sources

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

Page 8: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Satellite-derived temperatures

7-days

Winds derived from satellite observed cloud drift analysis

7-days

Page 9: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Tiksi, Russia

Alert, Canada

Barrow, Alaska

Eureka, Canada

Summit, Greenland

Ny-Alesund, Svalbard

IASOA Target Observatories

IASAO

Page 17: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

IASAO: International Arctic System for Observing the Atmosphere

Page 18: Atmospheric data for Arctic modeling John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

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 John Walsh International Arctic Research Center University of Alaska, Fairbanks Arctic System Modeling Workshop, Montreal,

Problem areas

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

• Clouds

• Aerosols

• … others