monitoring the saharan air layer with viirs and models...(final revision) • 7 quasi-operational...

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Monitoring & Predicting the Intensity of the Saharan Air Layer (SAL) Events Over the Caribbean using Remote Sensing & Dust Model Ensemble 1. Naval Research Laboratory, Monterey, CA 2. National Weather Service, San Juan, Puerto Rico 3. U. of Miami, Rosenstiel School of Marine & Atmospheric Science 4. Cooperative Institute for Research in the Atmosphere, Ft Collins, CO photo courtesy: NOAA Arunas Kuciauskas 1 , Peng Lynch 1 , Edward Hyer 1 , James Campbell 1 , Luis Rosa 2 , Joseph Prospero 3 , Steve Miller 4 , Jeremy Solbrig 1 , and Mindy Surratt 1

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Page 1: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Monitoring & Predicting the Intensity of the Saharan Air Layer (SAL) Events Over the Caribbean

using Remote Sensing & Dust Model Ensemble

1. Naval Research Laboratory, Monterey, CA 2. National Weather Service, San Juan, Puerto Rico 3. U. of Miami, Rosenstiel School of Marine & Atmospheric Science 4. Cooperative Institute for Research in the Atmosphere, Ft Collins, CO

photo courtesy: NOAA

Arunas Kuciauskas1, Peng Lynch1, Edward Hyer1, James Campbell1, Luis Rosa2, Joseph Prospero3,

Steve Miller4, Jeremy Solbrig1, and Mindy Surratt1

Page 2: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Motivation

• Large dust events coming from Sahara (Saharan Air Layer or SAL) pose major health & wildfire problems over the Caribbean – high concentrations of P10 and P2.5 particles – low humidity = high fire potential

• NWS, San Juan is responsible for issuing alerts to greater Caribbean community when such conditions occur

• Resources they request from NRL-MRY – remote sensing products NRT (especially VIIRS & MODIS) – request: dust model that predicts large dust events 3+ days in advance

Page 3: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Saharan Air Layer (SAL)

Canary Islands Barbados San Juan, Puerto Rico

Part of global Saharan dust transport across the Atlantic 1000 x 1012 g per yr (Prospero and Mayol-Bracero, JGR 2010)

Hot/dry elevated thick dust layer forming over Saharan desert 3 – 5 km layer above W Africa 2 – 3 km layer above Caribbean

Most frequent over Caribbean & eastern US during late spring through early fall

Page 4: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

North Tropical Atlantic Basin

Overview of Region

Caribbean Sea

Overview Path of SAL during Boreal Summer

North Tropical Atlantic Basin

dust source Bodele Depression

Caribbean Sea

Page 5: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

PR *

PR *

0624

0625

0623

PR *

0627

PR *

0628

PR *

PR *

0626

Tracking the SAL Events VIIRS True Color

RP *

RP *

RP *

RP *

RP *

RP *

Targeted areas: Puerto Rico (PR) & Ragged Point, Barbados (RP)

Page 6: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Monitoring SAL Episode

PR * RP

*

MSG-Dust Enhanced Background Reduction Algorithm (DEBRA)

Leading SAL edge Ragged Pt: 06/25 Puerto Rico: 06/26

Animation: 23 – 27 June, 2014

Page 7: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

70W 10W

θv

A f r i c a c o a s t

Puerto Rico

to

t1 t2

Caribbean

Environment Depicting SAL Propagation Across Atlantic Basin

SAL Layer - unstable - warm - dry

θ8

θ7

θ6

θ5

θ4 θ3

marine layer - stable - colder - moist

Page 8: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Virtual Potential Temp. Plots during SAL W

est Africa W

est Africa

Puerto Rico Puerto Rico

West Africa

Puerto Rico Puerto Rico

West Africa

06/23 06/24

06/25 06/26

70W 10W 70W 10W

70W 10W 70W 10W

Model initial times: 00:00Z

850 mb

700 mb

850 mb

700 mb

850 mb

700 mb

850 mb

700 mb

Page 9: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

06/24

AERONET (Aerosol) Sensing of SAL VIIRS True Color

06/25 06/26

PR * RP

*

data maintained by: B. Holben data maintained by : J. Prospero

Page 10: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

06/23 06/24 06/25 06/26 06/27

SAL Monitoring TPW and Puerto Rico Soundings

courtesy: Jason Dunion, HRD-CIMAS

PR *

12Z

Page 11: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

SAL Atmospheric Profiles Ragged Point, Barbados

RP *

courtesy: J. Prospero

06/24 (pre-SAL)

RP *

06/25 (SAL)

RP *

06/26 (post-SAL)

dust model MPLNET (lidar) aerosol extinction (12Z)

Page 12: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Dust Model

International Cooperative for Aerosol Prediction Multi-Model Ensemble (ICAP-MME)

Sessions, et al., 2015, Atmospheric Chemistry & Physics (final revision)

• 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC

• Plotted on 1 X 1 degree grid every 6 hours, 1 day latency • Provides skillful depictions of SAL dust intensity • Validated with AERONET measurements • Potentially valuable resource for air quality & fire hazard

prediction throughout Caribbean

Page 13: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Individual Dust Models Initial: 06/23 00Z, Forecast valid 06/24 18Z, tau = 42

NRL/NAAPS ECMWF/MACC NASA/GEOS-5

JMA/MASINGAR NCEP/NGAC BSC/NMMB BSC-CTM

UKMO/MetUM

PR * * RP PR * * RP PR * * RP

PR * * RP PR * * RP

PR * * RP

PR * * RP

ICAP-MME

PR * * RP

Page 14: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Animation of ICAP-MME

PR * * RP

Page 15: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Puerto

Rico * * Ragged

Point

VIIRS AOD

Puerto

Rico * * Ragged

Point

VIIRS AOD

06/26 ICAP valid 18Z

Puerto Rico *

* Ragged Point

Puerto Rico *

* Ragged Point

Monitoring SAL Passage 06/25

ICAP valid 18Z

CALIPSO-CALIOP Backscatter CALIPSO-CALIOP Backscatter

Page 16: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

ICAP-MME Validation Bi-seasonal comparisons of +4 day model 550nm AOT RMSE with 21 core

AERONET verification sites.

Individual model validations are in colored circles, large blue circles are ICAP-MME means.

Sessions, et al., 2015, Atmospheric Chemistry & Physics

Page 17: Monitoring the Saharan Air Layer with VIIRS and Models...(final revision) • 7 quasi-operational aerosol/dust models • provided at NRL-MRY and FNMOC • Plotted on 1 X 1 degree

Summary

• Qualitative overview of predicting SAL using in-situ, satellite and model resources

• ICAP-MME performs well in predicting dust across the Atlantic basin

- 3+ days in advance, fits operational needs - future: more models will become part of the system => more robust • Plans to implement ICAP-MME and VIIRS in support of

Puerto Rico/Caribbean weather agencies - possible nighttime monitoring of dust