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Atmospheric River Reconnaissance Air Force C‐130 Aircraft – Weather Recon Squadron NOAA G‐IV F. Marty Ralph Forest Cannon FMA Annual Conference 6 Sep. 2018 – Reno NV

Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

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Page 1: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

Atmospheric River Reconnaissance 

Air Force C‐130 Aircraft – Weather Recon SquadronNOAA G‐IV

F. Marty RalphForest Cannon

FMA Annual Conference6 Sep. 2018 – Reno NV

Page 2: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

Water managers, transportation sector, agriculture, etc… require improved atmospheric river (AR) predictions 

Atmospheric River Reconnaissance FM Ralph (Scripps/CW3E), V Tallapragada (NWS/NCEP), J Doyle (NRL)

400 km AR Landfall position forecast error at 3‐day lead time

error

AR Forecast skill assessment establishes a performance baseline

Wick et al. 2013

Page 3: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

Atmospheric River Reconnaissance FM Ralph (Scripps/CW3E), V Tallapragada (NWS/NCEP), J Doyle (NRL)

New Adjoint includes moisture –and finds AR is prime target

36-h Sensitivity (Analysis) 00Z 13 February (Final Time 12Z 14 February 2014)

• Moisture sensitivity is strongest along AR axis; located > 2000 km upstream

• Moisture sensitivity substantially larger than temp. or wind sensitivity.

J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016)

Forecast improvement 

area

Color contours show the forecast sensitivity to 850 mb water vapor (grey shading) uncertainty at analysis time 00Z 13 Feb 2014 for a 36‐h forecast over NorCal valid 12Z 14 Feb

• Unresolved subgridscale processes

• Parameterization error

• Initial condition error (WSWC Report 2013)

Potential Impact of Targeted Observations is Maximized       

Three primary sources of error in numerical weather prediction:

Page 4: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

Was the Oroville Incident Related to an AR?

Yes.  An AR of “Extreme” intensity hit the area.

An example forecast challenge: 7 Feb. 2017 (Oroville)

Page 5: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

NCEP GEFS dProg/dt Example from February 2017 – “Oroville Case” (dam spillway issue)

F. M. Ralph ([email protected]) and J. Cordeira

Init: 12Z/5 Feb

“Moderate”

Init: 12Z/6 Feb

“Strong”

Init: 12Z/7 Feb

“Extreme”

Page 6: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

The 24‐hr quantitative precipitation estimate (QPE) indicated that ~6” fell along the Coastal Mts. and ~2” fell over the Santa Ynez Mts.

The 24‐hr accumulated precipitation forecast for 6”+

AR Outlook: 22 March 2018

The QPE accumulations resulted in a over forecast of ~4 in. over the Santa Ynez Mts. and an under forecast of ~3 in. over Big Sur

CNRFC 24‐hr QPF issued 20 March valid 5 AM PDT 21 to 5 AM 22 March 2018

CNRFC 24‐hr QPE valid 5 AM PDT 21 to 5 AM 22 March 2018

Page 7: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

96-h

TIV

T F

orec

ast -

Ana

lysi

s

0

3

1

0.5

-0.5

-1

-3

-5

524-h

130oW 120oW

40oN

30oN

96-h TIVT Analysis and Forecast Verification: Valid 00Z 20 Mar. – 00Z 24 Mar. 2018

Analysis

96-h

TIV

T (

107

kg m

-1)

2

6

10

14

18

130oW 120oW

• The errors in the precipitation forecasts were partly driven by errors in weather model forecast of AR landfall location

• However, the observations (GFS analysis) showed that the core of the AR was instead over Big Sur (~200‐250 km from the predictedposition).  Big Sur did receive up to 8+ inches of rain, while mountains above Santa Barbara received 2‐4 inches

Page 8: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

USAF C‐130

NOAA G‐IV

USAF C‐130

NOAA G‐IV

USAF C‐130

Average Number of AR Days and Percentage of Precipitation Attributable to ARs (Jan‐Feb, 1981‐2017)

10

20

30

40

50

60

70

80

% of P

recipitatio

n Attributab

le to

 ARs

10

15

20

25

30

35

40

45

Num

ber o

f AR Da

ys

Address model initial condition errors through targeted observation profiles

AR RECON:

Page 9: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

140W 130W 120W150W160W

40N

35N

30N

45N

50N

55N

60N

AF C‐130

AF C‐130

Example of Atmospheric River target for AF C‐130s

(color fill: IVT)

Upper‐level trough/PV anomaly

Example of a target for the NOAA G‐IV

1.0 h

2.0 h3.0 h3.5 h

8 h

6 h

4 h

3 h

G‐IV Ferry time from Seattle (black numbers)

On‐station time for G‐IV (red text)

Center time:  0000 UTCDropsonde deployment window: 

2100 – 0300 UTC

2018 Atmospheric River Reconnaissance

Flight Strategies

F.M. Ralph (AR Recon PI) and AR Recon Team

Air Force C‐130 Aircraft – Weather Recon’ 

NOAA G‐IV

Each aircraft has a range of about 3500 nm

6 storms in 2018

3 storms in 2018

Page 10: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

AR Recon PI and Mission DirectorF.M. Ralph (SIO/CIMEC & CW3E)

J. Doyle (NRL) – AlternateCoordinators:  A. Wilson, J. Kalansky, F. Cannon (CW3E)

NWS Co‐PIV. Tallapragada (NCEP) – Co‐PIA. Edman (NWS WR) – Co‐PI

AR Core Target PlanningTwo C‐130s

J. Rutz (NWS WR) – PrimaryJ. Cordeira (Plym. St.)– Alternate

AR Core Target ‐ AdvisorsC. Reynolds (NRL) ‐ backup

C. Smallcomb (NWS)D. Lavers (ECMWF)

R. Demirdjian (SIO/CW3E)

Secondary Target PlanningNOAA G‐IV

C. Davis (NCAR) – PrimaryT. Galarneau (U.AZ) – AlternateSecondary Target ‐ Advisors

J. Doyle (NRL)L. Bosart (SUNY Albany)R. Demirdjian (SIO/CW3E)

TBD

Flight ExecutionMajor A. Lundry (AF C‐130s)

J. Parrish (NOAA G‐IV)

Flight Track AssessmentAir Force Navigator

NOAA (Parrish/Cowan)Coordinator: F. Cannon (CW3E)

Moist Adjoint TeamC. Reynolds (NRL) – PrimaryJ. Doyle (NRL) – Alternate

R. Demirdjian (SIO/CW3E) ‐ Support

AR Recon Forecasting TeamJ. Cordeira (Plymouth St.) – Primary

D. Lavers (ECMWF) – AlternateJ. J. Rutz (NWS WR) – AlternateC. Hecht (SIO/CW3E) ‐ Alternate

B. Kawzenuk (SIO/CW3E)K. Howard (NCEP), Other TBD

C‐130& G‐IVCrews; CARCAH

AR Recon – 2018 Flight Operations Planning and Execution

Modeling and Data Assimilation SCF.M. Ralph (SIO/CW3E) – Co‐ChairV. Tallapragada (NCEP) – Co‐Chair

J. Doyle (NRL),  C. Davis (NCAR)

F. Pappenberger (ECMWF), A. Subramanian (SIO/CW3E)

iterate iterate

Daily Forecasts,Flight Summaries and Planning 800 AM PT*

Plan

ning

 Data an

d Flight Sum

maries

*Meetings led by either Cordeira, Rutz, Lavers, or alternate

Flight SummariesTBD ‐ (SIO/CW3E) – PDocs/GrStud

Key dates 19 January: commit where to deploy the 2nd C‐130

25 Jan ‐ 10 Feb: G‐IV is available for 3 storm flights from Seattle

25 Jan ‐ 27 Feb: two C‐130s available for 6 storm flts from Hawaii, Seattle, Travis AFB or San Diego

*Attended by “primary” and “alternate” from each group (not by all members of each group)

“Flight Directors”

Page 11: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the
Page 12: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

IOP5 – Feb 26, 2018 – 00z

Contacts:  F. M. Ralph (PI; [email protected]); V. Tallapragada (Co‐PI; [email protected])AR Recon Modeling and Data Assimilation Steering Committee

0°N

20°S

40°S

60°S

80°S

80°N

20°N

40°N

60°N

80°N

0°E30°W

60°W90°W

120°W150°W

30°E

0°E30°W

60°W90°W

120°W150°W

30°E

Total number of obs = 8627/01/2018 00

ECMWF data coverage (used observations

TEMP-SHIP TAC (1) Dropsonde (80)

TEMP-Land TAC (46 TEMP-Ship (BUFR) (6)

Steering Committee• F. Martin Ralph – (UCSD/Scripps/CW3E) ‐ AR Recon PI and AR DA SC Co‐Chair• Vijay Tallapragada (NOAA/NWS/NCEP) – AR Recon Co‐PI and AR DA SC Co‐Chair• Jim Doyle (NRL)• Aneesh Subramanian (UCSD/Scripps/CW3E) • Chris Davis (NCAR/MMM)• Florian Pappenberger (ECMWF)

Page 13: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

IOP5 – Feb 26, 2018 – 00z

IOP6 – Feb 28, 2018 – 00z

Integrated

 Vap

or Transpo

rt (k

g s‐1

m‐1)

Contacts:  F. M. Ralph (PI; [email protected]); V. Tallapragada (Co‐PI; [email protected])

Page 14: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

AR Recon – 2019: Requesting 3 Aircraft to Sample 9 StormsTwo Air Force C-130s and NOAA’s G-IV

Feb 2016:  3 Storms (2 aircraft per storm)

Jan‐Feb 2018:  6 Storms (3 aircraft per storm in 3 storms; 2 aircraft in 1 storm; 1 aircraft in 2 storms)

o Jan‐Mar 2019 (Requested):  9 storms (3 aircraft per storm)

o Target total number of cases:  18 storms, with 1, 2 or 3 aircraft sampling each storm

Interagency, International Steering Committee in place • Carry out assessments • Refine data assimilation methods• Create appropriate evaluation metrics• Provide impact results in peer‐reviewed publications

Page 15: Atmospheric River Reconnaissance...J. Doyle, C. Reynolds, C. Amerault, F.M. Ralph (International Atmospheric Rivers Conference 2016) Forecast improvement area Color contours show the

Considerable effort is still required to quantify the impact of assimilating targeted dropsonde observations of offshore ARs on forecast skill and the potential for enhanced prediction of West Coast extreme weather events through the annual implementation of AR Recon.

The potential upside of observing AR properties ahead of landfall warrants a large investment of aircraft, instrumentation and research resources at the national level.

Summary of AR Recon Advancements and Continued Investment

Lavers, D.A., M.J. Rodwell, D.S. Richardson, F.M. Ralph, J.D. Doyle, C.A. Reynolds, V. Tallapragada, and F. Pappenberger, 2018: The Gauging and Modeling of Rivers in the Sky. Geophysical Research Letters. doi:10.1029/2018GL079019