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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

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slide1

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
Three categories of atmospheric observations:
  • Routine measurements for input to NWP models

2) Special observing networks

  • Short-duration field campaigns
three categories of atmospheric observations1
Three categories of atmospheric observations:
  • Routine measurements for input to NWP models

2) Special observing networks

  • Short-duration field campaigns

+

Value-added products: reanalyses

gridded fields (e.g., CRU)

Polar Pathfinder products

routine measurements in some respects the arctic is well covered
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)

slide5

Surface station observations

Upper-air rawinsonde observations

slide7

Reports from commercial, military, and reconnaissance sources

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

slide8

Satellite-derived temperatures

7-days

Winds derived from satellite observed cloud drift analysis

7-days

slide9

01/01/2003

00Z

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

slide10

01/01/2003

06Z

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

slide11

01/01/2003

12Z

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

slide12

01/01/2003

18Z

6-hour accumulated

observations:

red: surface station

slate blue: upper-air

yellow: sat. temp.

green: sat. wind

violet: aircraft

sky blue: ship

slide13

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= 203

PROCN= 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.

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= 26

PROCN= 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.

prepbufr data

PrepBUFR data

0) Keep (always assimilate)

  • Good
  • Neutral or not checked (default) -- e.g., IAOBP T and P obs are flagged as QC=2
  • Suspect
  • 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.)

Quality Control Flags

2 examples of special observing networks
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)
iasao
IASAO

Tiksi, Russia

Barrow, Alaska

Eureka, Canada

Alert, Canada

Ny-Alesund, Svalbard

Summit, Greenland

IASOA Target Observatories

3 short duration field programs process studies for algorithm development model validation
3) Short-duration field programs-- process studies for algorithm development, model validation
  • SHEBA
  • ATLAS, LAII Flux Study
  • ARM field campaigns
  • OASIS
  • IPY cruises

… others

problem areas
Problem areas
  • Precipitation, especially solid precip (snowfall, depth, water equivalent)
  • Clouds
  • Aerosols
  • … others
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