Cal/Val synergies for desert dust modelingstudies
Vassilis Amiridis / Eleni Marinou
on behalf of the National Observatory of Athens
2nd ESA EarthCARE Validation Workshop
ESA UNCLASSIFIED – For ESA Official Use Only

25-28 May 2021 (online)1Cal/Val synergies for improving desert dust modeling
The synergy of ground-based / airborne / EarthCARE collocatedmeasurements from Cal/Val campaigns can be used beyond the Cal/Valobjectives+2

Potential Applications for desert dust research
Development and evaluation of new products from EarthCARE. Here, wediscuss the potential for deriving products for desert dust research thatcan be used to:•Develop climate datasets by bridging EarthCARE with CALIPSO: Dust canbe distinguished from other aerosol types through depolarization and has weak
wavelength dependence for dust.

•Use for data assimilation in SDS-WAS systems•Support studies on new parameterizations for representing physical+
processes in desert dust models•

Develop a dust deposition product, critical for studies on biogeochemical
cycles•Perform closure studies for the radiative impact of dust and associatedimpacts on atmospheric dynamics•Promote data assimilation of intensive properties such as theDepolarization and Lidar Ratio would improve representation of the aerosol
optical properties in CAMS.
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Dust products from Cal/Val campaigns
Derivation andvalidationof the CALIPSO
Applications
withinACROSS

pure-dust product (A-CARE ESA study basedon A-LIFE and ACTRIS experimentalcampaigns)+

4Fine/coarse dust productDerivationand validationof the CALIPSO pure-dust fine/coarse productApplications
within ACROSS(AER-D campaign in Cape Verde)+5Dust IN productApplications within ACROSS

Derivation and validation of the CALIPSO IN product (BACCHUS Cyprus
campaign)+

Good agreement between the insitu and lidar-derived 𝑛250 within
the lidar uncertainties
Marinou et. al, ACP, 20196

Bridging EarthCARE with CALIPSO (LIVAS)
BridgeEarthCARE
dust productwith corresponding CALIPSO product.
Applications
withinACROSS
Feasible due to the weak wavelength dependence (355-532nm) for dust
and trustworthy aerosol typing through depolarization (ESA-LIVAS study)+

CALIOP observations at 532 nm→ Quality Filtering →→ Conversion Factors →→ CALIOP at 355 nm

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Bridging EarthCARE with CALIPSO (LIVAS)+

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Dust deposition studies

Derivation of dust
deposition productusing aerosol profilingfrom EarthCARE(being applied for ESA
using CALIPSO inDOMOS study)+

9New dust sources (including anthropogenic)
Applications within ACROSS+MODIS–Aqua AOD at 550 nm representing dust patternover the period of 11–13 September 2011. The red line on
the 12 September image shows the only available CALIPSO
overpass

Cvetcovic et al. – ACPDCALIPSO-based pure-dust and DREAM pure-dust extinction
coefficient at 532 nm verticalprofiles averaged over theMERRA-2
CALIPSO path for 12 September 2011.
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Radiative impact of dust in models – Closure studies
ALTID profiling

BBR: TOA radiances in SW and LW+CALIPSO
profiling for dust11

Evaluation of dust models and new parameterizations
Applications within ACROSS+

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Data assimilation for improving dust transport forecasts
Applications within ACROSS+
Dust Load (g/m2)

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CAMS data assimilation (slide from Angela Benedetti)
CALIPSO
Feature mask

Applications within ACROSS• Experimental assimilation of lidar
backscatter has been successfully
demonstrated in the CAMS system.
• What is adjusted is the aerosol totalmass, while the optical properties
are kept constant• Developing the assimilation of lidar
ratio in which the optical properties
are modified during theminimization would be arevolutionary stepModelforecast+

AOD
assimilation

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Conclusions: what is needed from the Cal/Val campaigns• Ground-based aerosol remote sensing (multi-wavelength lidars,sunphotometers, polarimeters)• Airborne in-situ measurements of size distributions, absorption,
analysis of samples, CCN/IN (deploying drones and research aircrafts)+• Surface in-situ for dust and deposition (including buoys)• Surface radiation measurements (BOA, i.e. BSRN)

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