aerocom
Download
Skip this Video
Download Presentation
AeroCom

Loading in 2 Seconds...

play fullscreen
1 / 26

AeroCom - PowerPoint PPT Presentation


  • 115 Views
  • Uploaded on

AeroCom. … in the context of GEMS S. Kinne. Overview. what is AeroCom ? Goals what does AeroCom do ? Activites how does GEMS benefit from AeroCom? Initialization Evaluation. what is AeroCom ?. AeroCom “ Com parisons of Aero sol simulations to DATA ”

loader
I am the owner, or an agent authorized to act on behalf of the owner, of the copyrighted work described.
capcha
Download Presentation

PowerPoint Slideshow about 'AeroCom' - thyra


An Image/Link below is provided (as is) to download presentation

Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.


- - - - - - - - - - - - - - - - - - - - - - - - - - E N D - - - - - - - - - - - - - - - - - - - - - - - - - -
Presentation Transcript
aerocom

AeroCom

… in the context of GEMS

S. Kinne

overview
Overview
  • what is AeroCom ?
      • Goals
  • what does AeroCom do ?
      • Activites
  • how does GEMS benefit from AeroCom?
      • Initialization
      • Evaluation
what is aerocom
what is AeroCom ?
  • AeroCom

“Comparisons of Aerosol simulations to DATA”

      • co-organized by LSCE and MPI-Met
        • not officially funded (major problem)
        • supported by global aerosol modeling worldwide
  • AeroCom Goals
      • document module differences
      • investigate sub-step and sub-processes
      • assemble useful (quality!) data-sets
      • intensify links between groups (model, data)
aerocom activities 1
AeroCom - Activities (1)
  • organize regular workshops
      • Paris 6/03, Ispra 3/04, N.York 12/04, Oslo 6/05
  • maintain a website http://nansen.ipsl.jussieu.fr/AEROCOM
      • Information
        • conference summaries / papers
      • Protocol
        • data-format / data-request (Experiments) / input
      • Interactive diagnosis tool
        • Evaluations (Model vs Data)
        • Diversity / Outliers (Model vs Model)
http nansen ipsl jussieu fr aerocom data surfobs html
http://nansen.ipsl.jussieu.fr/AEROCOM/DATA/surfobs.html

local network

comparisons

time-series

selection

menu

SO4

aot

distribution-plots

scatter-

plots

aerocom activities 2
AeroCom - Activities (2)
  • define common ‘Experiments’
      • A: ‘best as you can’ – simulation
      • B: year 2000 with prescribed 2000 emissions*
      • C: year 2000 with prescribed 1750 emissions* B minus C: address anthropogenic ‘forcing’
      • INDI: sensitivity studies for indirect effects

* ftp://ftp.ei.jrc.it/pub/Aerocom/

  • prepare useful data-sets (for data-base)
      • Evaluate – beyond downloading (satellite combo)
      • Combine/ Process – for added value (AERONET)
aot sat retrievals vs aeronet
aot – sat. retrievals vs.AERONET

sat - Anet

R = --------------

Anet

…but can

local data

expanded

in regions

as here ?

aerocom questions
AeroCom - Questions

MODELING

  • are component modules consistent ?
      • where is model diversity largest ?
      • what do prescribed scenarios reveal?

DATA

  • are there data to determine skill ?
      • are (operational, global) data available ?
      • are data (sufficiently) accurate?
      • can data correlations provide clues?
      • are data applicable to scales in modeling?
aerocom participants
AeroCom - Participants

LO LOA 3.8/2.5 yr 2000 Reddy / Boucher

LS LSCE 3.8/2.5 yr 2000 Schulz / Balkanski

UL ULAQ 22.5/10 yr 2000 Pitari / Montenaro

SP SPRINTARS 1.1/1.1 yr 2000 Takemura

CT CANADA 2.8/2.8 yr 2000 Gong

MIMIRAGE 2.5/2.0 1yr avg Ghan / Easter

EHECHAM5 HAM 1.8/1.8 3yr avg Stier / Feichter

NF NCAR MATCH 1.9/1.9 yr 2000 Fillmore / Collins

OC OSLO-CTM 2.8/2.8 yr 1996 Myhre / Isaksen

OG OSLO-GCM 2.8/2.8 3yr avg Iversen et al.

IM IMPACT 2.5/2.0 yr 2000 Liu / Penner

GM GFDL MOZART 2.5/2.0 yr 2000 Ginoux / Horowitz

GO GOCART 2.0/2.5 yr 2000 Chin / Diehl

GI GISS 4.0/5.0 yr 2000 Koch / Bauer

TM TM5 4.0/6.0 yr 2000 Krol / Dentener

EM ECHAM4 MADE 3.8/3.8 10yr avg Lauer / Hendricks

GR GRANTOUR 5.0/5.0 1yr avg Herzog / Penner

NM NCAR MOZART 1.9/1.9 1yr avg Tie / Brasseur

NC NCAR CAM 2.8/2.8 1yr avg Mahonwald

ELECHAM4 3.8/3.8 3yr avg Lohmann / Feichter

all models separate by aerosol species (SU,BC,OC,DU,SS)

first results model diversity
first results – model diversity
  • differences in mass-fields are dominated by differences in aerosol processing
      • year-to year variations are much smaller
      • impact of ‘streamlined’ emissions is minor
  • differences among individual components (SU,BC,OC,DU,SS) are larger than for their sum
      • data constraint usually only for (sum-) totals
      • comp-mix diversity means absorption diversity
  • large differences in aerosol water
      • module (humidification) or GCM (envir) related?
slide11
model diversity of emission and mass

emission

emission

Exp A

Exp B

mass

mass

Exp A

Exp B

diversity in aot simulations
diversity – in aot simulations

total aot diversity < aot sub-component diversity !

total

aot

OC

aot

SS

aot

SU

aot

BC

aot

DU

aot

first results data
first results - data
  • BAD data: an assimilator’s / evaluator’s nightmare
      • do not trust given error estimates
      • compare with quality references
  • data of global data-sets are not globally of equal accuracy
      • focus on regional strength, establish composites
      • a local samples can differ from its regional value
  • correlation can provide clues with the immediate need for absolute accuracy
      • aerosol and other atmospheric properties
a case for s the retrieval composite
a case for S* (the retrieval composite)

composite a

still no

global

cover!

aerocom and gems
AeroCom – and GEMS

INITIALIZATION

  • provide datasets on aerosol
      • data from ground-based networks
        • AERONET, EARLINET, EMEP, IMPROVE
      • data derived from space sensors
        • satellite data and retrieval composites
  • provide reference from modeling
      • global and complete data-sets from the AeroCom model median
  • collaborate on aerosol emissions
aerocom and gems1
AeroCom – and GEMS
  • EVALUATION
  • build on AeroCom evaluation web tools
      • diganostics and scores (e.g Taylor plots)
  • provide a reference from global modeling
      • statistics on simulated fields (average, diversity)
  • provide (independent) data for evaluation
      • quality data not used in assimilations
aerocom and gems2
AeroCom and GEMS
  • both activities are complementary !
      • AeroCom dignostic tools will provide immediate feedback on simulation performance (score ?)
      • GEMS can build on AeroCom efforts to establish global quality data on aerosol
      • GEMS can build on the AeroCom effort to harmonize and update aerosol emissions
      • GEMS is expected to accelerate access to new quality data-sets for AeroCom model evalutions
aerocom current data base
AeroCom - current ‘data’ base
  • Remote sensing – space
      • satellites (Modis, Misr, Toms, Avhrr, Polder …)
        • aot (individual + composite best), Angstrom
        • aot associated atmos properties (clouds)
  • Remote sensing – ground
      • AERONET (sun/sky-photometers)
        • aot, size-dist., (ssa), Angstrom
      • EARLINET (lidar)
        • vertical profile, extinction
  • In-situ ground data
      • IMPROVE
        • SU, OC, BC, extinction
      • EMEP
        • SU, PM (?)

data priority

for year 2000

general questions to gems
General Questions to GEMS
  • what are the priorities / GEMS needs ?

…relating to AeroCom activities I can think of

      • data aquization
      • data assessment
      • data integration
      • comparisons to other modeling efforts
      • evaluating and scoring
  • who is going to do it / what ?
      • extra techn. (wo)man-power for AeroCom?
      • many GEMS participants are ready to contribute with little pieces of the puzzles. Who integrates?
up scaling of local aot
up-scaling- of local ‘aot’

with satellite data !

a

50% larger than the regional value level

at GSFC:

local aots are

ca. 20% above

regional mean

50% smaller than the regional value level

data correlations aerosol cloud
data correlationsaerosol - cloud

do higher cloud tops offset solar albedo losses?

key

a – aot

A – aot (<1mm)

t – cld top T

L – lwc (T> 260K)

x(y) – x function of y

what process: aerosol acloud? or cloud aaerosol?

model diversity
model-diversity

a- aot -S sulfate ab absorption aot

m- dry mass -O part.o matter w0 ss-albedo

r- mee (=a/m)-B black carbon cr bc/oc ratio

-N seasalt -f frac of sizes <1 mm

-D dust An Angstrom param.

max / min factors of central 66% of aer.modules

despite better

agreement for

annual global aot …

large diversity in

modeling remains

June 2002

June 2004

clima tology
aot

ssa

clima-tology

with medians

aot

model satellite