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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
D1.1
CNRS-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.
M9
6
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
Deliverable Main contributor Title Due
Effort in man
months
D1.4
MF-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
D1.5
CNRS-IPSL-LMD with
assistance from University of
Leeds
Improvement of the dust, SO2 and
biomass burning sources of C-IFS-
GLOMAP
M13
5
D1.6
MF-CNRM with assistance
from CNRS-IPSL-LMD for the
implementation in C-IFS
Improvement of the sea-salt
sources in C-IFS-AER and C-IFS-
GLOMAP
M9
6
WP1: modelling aspects
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
Deliverable Main contributor Title Due
Effort in man
months
D1.7
MF-CNRM with assistance
from CNRS-IPSL-LMD for the
implementation in C-IFS
Adaptation and implementation of
a new scheme for scavenging in C-
IFS-AER and C-IFS-GLOMAP
M25
7
D1.8
MF-CNRM with assistance
from CNRS-IPSL-LMD for the
implementation in C-IFS
Development and validation of a
re-evaporation parameterization
M28
6
WP1: modelling aspects
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
Deliverable Main contributor Title Due
Effort in man
months
D1.9
CNRS-IPSL-LMD with
assistance from MF-CNRM
Study of the impact of resolution
on aerosol forecasts
(report/code if needed)
M20-
M36
5
D1.10
CNRS-IPSL-LMD with
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
Depend
ing on
the GSP
2
WP1: modelling aspects
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 service
Task 4.2: Implementation of an aerosol re-suspension module in C-IFS
Deliverable Main contributor Title Due
Effort in man
months
D4.1
MetNo 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

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CAMS GA Aerosols

  • 1. 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. 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. 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. 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. 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. 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 D1.1 CNRS-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. M9 6 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. 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 Deliverable Main contributor Title Due Effort in man months D1.4 MF-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 D1.5 CNRS-IPSL-LMD with assistance from University of Leeds Improvement of the dust, SO2 and biomass burning sources of C-IFS- GLOMAP M13 5 D1.6 MF-CNRM with assistance from CNRS-IPSL-LMD for the implementation in C-IFS Improvement of the sea-salt sources in C-IFS-AER and C-IFS- GLOMAP M9 6 WP1: modelling aspects
  • 8. 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 Deliverable Main contributor Title Due Effort in man months D1.7 MF-CNRM with assistance from CNRS-IPSL-LMD for the implementation in C-IFS Adaptation and implementation of a new scheme for scavenging in C- IFS-AER and C-IFS-GLOMAP M25 7 D1.8 MF-CNRM with assistance from CNRS-IPSL-LMD for the implementation in C-IFS Development and validation of a re-evaporation parameterization M28 6 WP1: modelling aspects
  • 9. 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 Deliverable Main contributor Title Due Effort in man months D1.9 CNRS-IPSL-LMD with assistance from MF-CNRM Study of the impact of resolution on aerosol forecasts (report/code if needed) M20- M36 5 D1.10 CNRS-IPSL-LMD with 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 Depend ing on the GSP 2 WP1: modelling aspects
  • 12. 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. 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. 14 Task 4.1: Assistance to ECMWF in setting up / running an aerosol alert service Task 4.2: Implementation of an aerosol re-suspension module in C-IFS Deliverable Main contributor Title Due Effort in man months D4.1 MetNo 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