CAMS GA Aerosols

Copernicus Atmosphere Monitoring Service

CAMS General Assembly, Athens, 14-16 June 2016

Olivier Boucher, LMD, CNRS

What are the main development lines of the global system

(with a focus on aerosol aspects)?

2

CAMS43 consortium

Four partners in the CAMS43 Consortium

• CNRS – IPSL – Laboratoire de Météorologie Dynamique

• University of Leeds

• Météo-France - CNRM

• Université de Lille – Laboratoire d’Optique Atmosphérique

3

Prime Investigator, WP3,4,5 co-manager: Olivier Boucher (CNRS-IPSL-LMD)Service manager, WP2 manager, WP1,3,5 co-manager: Samuel Rémy (CNRS-IPSL-LMD)

WP1 co-managers: Graham Mann (University of Leeds), Pierre Nabat (Météo-France – CNRM)WP4 co-manager: Michael Schulz (MetNo)

WP1 contributors: Martine Michou, Matthieu Plu and Jonathan Guth (Météo-France-CNRM) + 24 months contract (Météo-France CNRM) + Sarah Shalcross (PhD, Uleeds) [+Tim Keslake (Uleeds)]WP3 contributors: Software engineer (CNRS-IPSL-LMD, 18 months)WP4 contributor: Jan Griesfeller (MetNo)

Consultants: Laurent Menut (WP4 – aerosol suspension) Philippe Dubuisson (WP3 – radiative transfer)

Experts we can talk to: D. Tanré (LOA), O. Dubovik (LOA), K. Carslaw (Leeds), F. Hourdin (LMD)

Who are we ? Investigators

4

The aerosol models

C-IFS-AER is the current pre-operational aerosol model, also for the forthcoming reanalysis

Twelve prognostic variables:• Three bins sea-salt (0.03 – 0.5 – 0.9 – 20 µm)• Three bins dust (0.03 – 0.55 – 0.9 – 20 µm)• Black carbon (hydrophylic and hydrophobic)• Organic Matter (hydrophylic and hydrophobic)• SO2 -> SO4

Main physical processes represented:

• emissions, fire emissions being interactive (with the GFAS system)• horizontal and vertical transport• vertical diffusion through turbulence• dry deposition• sedimentation• scavenging by large scale and convective precipitation• aerosol optics

5

C-IFS-GLOMAP is one of several model frameworks that include GLOMAP• GLOMAP-bin : original bin-resolved version in TOMCAT CTM• GLOMAP-mode: in UM-UKCA, TOMCAT CTM & ECMWF

GLOMAP has been integrated into cycle 40R3 of C-IFS and optimized since then.

The aerosol models

6

Task 1.1: Improvement of secondary aerosols• Development and validation of a nitrate-ammonium module for C-

IFS-AER and validation of the nitrate component of C-IFS-GLOMAP• Improvement of SO2 to SO4 conversion process• Improvement of secondary organic aerosol production processes

Deliverable Main contributor Title Due Effort in man months

D1.1CNRS-IPSL-LMD with

assistance from the University of Leeds

Development of a nitrate and ammonium module in C-IFS-AER and validation of the nitrate component of C-IFS-GLOMAP.

M96

D1.2

MF-CNRM with assistance from CNRS-

IPSL-LMD for the implementation in C-IFS

Improvement of the SO2 to SO4 conversion processes for C-IFS-AER and C-IFS GLOMAP

M19

6

D1.3 CNRS-IPSL-LMD Improvement of the SOA sources of C-IFS M6 4.4

WP1: modelling aspects

7

Task 1.2: Improvement of the aerosol sources

• Improvement of dust emissions and tests with more bins in C-IFS-AER

• Improvement of the dust, SO2 and BB sources of C-IFS-GLOMAP

• Improvement of the sea-salt formation processes in C-IFS-AER


D1.4MF-CNRM with assistance

from CNRS-IPSL-LMD for the implementation in C-IFS

Improvement of dust sources in C-IFS-AER and tests with more bins M13

7


assistance from University of Leeds

Improvement of the dust, SO2 and biomass burning sources of C-IFS-GLOMAP

M135



Improvement of the sea-salt sources in C-IFS-AER and C-IFS-GLOMAP

M96


8

Task 1.3: Improvement of the aerosol removal processes

• Adaptation and implementation of a new diagnostic scheme for the scavenging in C-IFS-AER and C-IFS-GLOMAP

• Development and validation of a re-evaporation parameterization




Adaptation and implementation of a new scheme for scavenging in C-IFS-AER and C-IFS-GLOMAP

M257



Development and validation of a re-evaporation parameterization M28

6


9

Task 1.4: Study of the impact of resolution on aerosol forecasts

Task 1.5: Validation of the stratospheric component of C-IFS-GLOMAP

Task 1.6: Targeted improvements as requested by the Global Service Provider or users



assistance from MF-CNRMStudy of the impact of resolution on aerosol forecasts (report/code if needed)

M20-M36

5


assistance from University of Leeds

Validation of the stratospheric component of C-IFS-GLOMAP M24

19

D.11

CNRS-IPSL-LMD Targeted improvements as requested by the Global Service Provider or users

Depending on the GSP

2


10

Examples

PM10

Sulphate mass mixing ratio (µg/kg)

11

Guided by scores

12

Task 3.1: Implementation of a “toy” 1D-Var retrieval algorithm of visible AOD

Task 3.2: Selection of a radiative transfer code and adaptation into the retrieval algorithm

Task 3.3: Development of a tangent linear and of an adjoint code of the radiative transfer code

Task 3.4: Multi-wavelength retrieval Task 3.5: Test and validation of the final version of the retrieval

algorithm with MODIS and VIIRS reflectances

WP3: data assimilation

13

Task 4.1: Assistance to ECMWF in setting up / running an aerosol alert service

• Continued aerosol alert computation few hours after IFS data become available, “Aerosol anomaly against climatology” (when ECMWF develops own system, run as backup and testing system)

• Explore needs and adapt (clean air alert, surface PM alert, long range transport alert, dust / biomass burning alert, research condition alert, solar radiation blocking event ?)

• Redefine threshold levels to achieve more true positive warnings for different alerts

• Explore impact of climatology used on alert triggering (eg test new IFS reanalysis when available)

• Explore fine scale aerosol fields from CAMS61 for PM alerts Europe, understand difference to IFS based PM alerts

• Test impact of new aerosol IFS versions on alert skill• Develop Contingency table verification (new data: aerosol type, clean air, PM)

WP4: service evolution

14

Task 4.1: Assistance to ECMWF in setting up / running an aerosol alert serviceTask 4.2: Implementation of an aerosol re-suspension module in C-IFS


D4.1MetNo Aerosol alert service:

implementation/improvement and scores (report)

M8-M20-M34

10

D4.2 CNRS-IPSL-LMD Implementation of particulate matter resuspension in C-IFS M20 5

WP4: service evolution

CAMS GA Aerosols

Environment

Transcript of CAMS GA Aerosols