Summaries of the working groups

Second MEGHA-TROPIQUES Scientific Workshop
Paris July 2-6, 2001

Working groups conclusions  

Following the presentation sessions, two working groups met on the subjects concerning science issues and data processing.

Their conclusions are given below :

Working Group I

Preliminary scientific studies using existing data. Requirements for different thematic applications

1) Necessity of building a data base including satellite data of the same kind that those that will be provided by Megha-Tropiques + complementary data

TRMM/TMI,
CERES   (co-localisation ?)
AMSU/B, SSM/T2
METEOSAT and other geostationaries
Data on particular events with satellite data coincident in space and time
Meteorological analyses
Data from in situ experiments
Climatic satellite data sets (ISCCP, GPCP, Claus,…)

User friendly data base for scientists which are not familiar with satellite processing.

Actions :

– get the whole archive of METEOSAT over the Indian Ocean
– get other satellite data for corresponding periods, icluding monsoons of 1998 and 1999
– begin actions in the frame of CLIMSERV/IPSL data base. Visit of expert from India to develop the system and develop a corresponding one in India

2) Study of Physical processes relevant to the instrumental combination of Megha-Tropiques, its sampling, and corresponding geostationaries data.

LARGE SCALE

Hadley Walker circulations, Water vapour transport, Feedbacks on radiation

Relevant in particular to the ScaRaB-SAPHIR combination, but also to Madras and geostationaries.

Already planned actions :
– AMIP-2 model evaluations
– Interactions African area, Indian Ocean
– Global scale interactions (warm pool, el Niño)
– Validation of GCM’s over India

INTRASEASONAL VARIATIONS

– Modulation of convective activity
– Madden-Julian oscillations
– Onset,, break and variations of monsoons
– Ocean-Atmosphere interactions
– Continent-Atmosphere interactions

Relevant to geostationaries + M.T. Observations

SYSTEM SCALE, MESOSCALE

Require special combinations of existing instruments for specific systems where co-locations and time coincidence exist : SSM/I, TMI, AMSU, Geostationaries.

– Dry air intrusions  (SAPHIR, METEOSAT, MADRAS)
– WV in middle atmospher and convective systems (SAPHIR, METEOSAT, MADRAS)
– Convective clouds properties and radiation (MADRAS, Geostationaries, ScaRaB)
– WV above clouds (SAPHIR)
– (Climatology of WW) (SSMT/2 ?)
– Convection and surface fluxes (MADRAS, Geostationaries)
– Initiation of convection (MADRAS, Geostationaries)
– Life cycle of systems (MADRAS, Geostationaries)
– Help to convection parameterization (all instruments)
 

Specific tools to be considerd

– cloud resolving and mesoscale models
– new satellites (MSG, INSAT, EOS, METOP,…)
– Assimilation in different models (radiances and/or products)
 

PROPOSED ACTIONS

Call for proposals on scientific themes emphasizing the specificities of Megha-Tropiques :

– instrument combinations
– repetititvity
– combination with geostationaries
 

Megha-tropiques fellowships for young scientist exchanges
 
 
 

Working Group II

Definition and Planning of Studies on Algorithm definition, constitution of data bases and Validation Experiments

Participants: L Eymard, N Viltard, …………………….

            B S Gohil, R M Gairola, U C Mohanty, G Raju,  M S Narayanan,
           R Narasimha

The following points were discussed by the Working Group:

– Standard products from the 3 MT instruments
– Levels of data products
– Development  and selection of operational Algorithms
– Calibration, Quality control and Validation
 
A)    Standard Products

The following parameters were identified to be made available as standard products operationally from the three Megha Tropiques instruments (based on today’s state-of-art knowledge):

a) MADRAS: over oceans – under non-rainy conditions / below a specified
liquid water content (to be defined)

Parameter    Horizontal   Auxillary Data
Resolution

Total Water Vapour Content  40 km   None
Liquid Water Content   40 km   None
Sea Surface Wind speed  40 km   None
Surface Rain Rate (SRR)  40 km   None

  Over Land

Surface Rain Rate   40 km   None

b) SAPHIR:

Water vapour content   – in 6 layers 10 km   . Temperature profile
  (over oceans)         from ECMWF
. TWC from MADRAS
        . Geostationary images

Water vapour content –  5-6 layers 10 km   . Temperature profile
  (over land)         from ECMWF
c) ScaRaB

Top of Atmosphere Fluxes

. Short Wave    40 km   None
. Long Wave    40 km
. Scene identification (useful for  40 km
    MADRAS, SAPHIR processing)

B) Levels of Data Products

Level  1a   calibrated / corrected for instumental errors

           1b   geolocated and collocated  TB from 89, (37,23,18) together
                     157 GHz at original location

 1c ?   gridded (preferably in GrADS type format) TB from
     the 3 instruments

Level  2a   Standard Geophysical Products from the 3 instruments
     separately

2b Gridded product (in GrADS – type format) –  with no time-averaging
 

Research  Products (to be defined)

    Combination of TBs and / or Geophysical Products from
          2 or more of MT instruments

    Value Added Products
(using data from other satellites also)

    Ice – related products (from 157 GHz)
 
C) Development of Algorithms:

Approaches   . Inhouse development (in France and in India)
    . Through Global AO (in the context of GPM rainfall)
       (this proposal has to be discussed by JSC)

RT code selection (in house) . compare the performance of the available codes
       on the data base to be prepared for an year
       going in complexity from clear sky to cloudy to raining
     . Selection of an appropriate code
 
 

Data Base for Atmospheres . NCMRWF and ECMWF Analysis + Forecasts
(1-year’s data of 1999) . SSMI/SSMT-2 + TMI + AMSU-B data
    . Geostationary data sets
    . Radiosonde, ship, buoy, raingauge etc
 
D) Calibration:

 Inflight   Free space and BB target

Quality Control

    Data Quality Evaluation (TBD)
    Data impact studies

Validation:

    . Insitu data
    . Special cruises
    . IMD Radar (Karaikal), NMRF Radar – Gadanki

E) Tentative  Time Schedule:

Preparation of Data base  To – 5 yr to To – 4 yr

Preparation of Guidelines for  To – 4 yr
  Selecting the RT code

Announcement of Opportunity To – 4 yr to To – 3 yr

Selection of RT code for   To – 2 yr
  the 3 instruments

Conversion to operational  To – 1 yr
Algorithm

(Note –whether 2 years are sufficient to convert from selected RT code  to operational algorithms )

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