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Status of the mission and preliminary definition

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combined leo-geo algorithm (M. Desbois et al.) Re-scaling algorithm. MD Washington 16 june 2004 ... PR profile used to find a matching cloud model simulation ... – PowerPoint PPT presentation

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Title: Status of the mission and preliminary definition


1
  • Status of the mission and preliminary definition
  • of rain retrieval algorithms

2
MEGHA-TROPIQUES
  • ISRO CNES mission aimed to study water cycle and
    energy exchanges in tropical zone
  • Main objectives
  • Energy budget of the atmosphere (radiation and
    latent heat) at scales from the whole
    intertropical zone the scale of convective
    systems
  • Life cycle of tropical convective systems and
    associated water budgets
  • Relationships and feedbacks between convection,
    water vapour and radiation

3
Principles of the mission Megha-Tropiques
  • Measure simultaneously 3 parameters determining
    for the energy budgets of the atmosphere
  • radiative fluxes (ScaRaB),
  • water vapour distribution (Saphir)
  • precipitation (Madras)
  • Accounting for the variability of the phenomena
    and th large range of scales, repetitivity of
    measurement is privileged relative to the ground
    resolution high orbit (870 km), low
    equatorial inclination (20), resolution 10 to 40
    km.

4
The Instruments
  • ScaRaB a wide band radiometer for radiative
    fluxes measurement (transversal scan, 40 km)
  • Saphir a microwave water vapour sounder. 6
    channels around 183.31 GHz. (transversal scan, 10
    km)
  • Madras a microwave imager
  • 5 channels 18, 23, 37, 89 and 157 GHz
  • (conical scan,
  • Marfeq is the radiofrequency part of this
    instrument

5
Project status (in France)
  • SCARAB already flown instrument Phase B1
    ended Nov 2003
  • SAPHIR New development Phase B1 ended Nov
    2003
  • MARFEQ Astrium company
  • New development - Phase B ended in october 2003

6
2004 new start thanks tonew sharing with ISRO
  • ISRO accepts to shift from the PROTEUS platform
    to an Indian platform, and to take the
    corresponding responsibilities (system, ground
    control,)
  • CNES is keeping the responsibility of the ScaRaB
    and SAPHIR instruments, and MARFEQ, the
    radiofrequency part of MADRAS

7
Preliminary new planning
  • New start june 2004
  • Complementary phase B studies with ISRO (platform
    change)
  • Minimal MARFEQ activity in 2004
  • Start of complementary phase B studies for
    SAPHIR/SCARAB
  • Start of phase C/D MARFEQ January 2005
  • Delivery of MARFEQ end 2007
  • Delivery SAPHIR/SCARAB end 2007
  • launch 2009

8
Status of rain retrieval algorithms (France)
  • Two kind of studies
  • passive microwave algorithm (N. Viltard et al.)
  • (BRAIN)
  • combined leo-geo algorithm (M. Desbois et al.)
  • Re-scaling algorithm

9
Algorithm General Principle
Database Construction
Brightness Temperatures
Atmos. Variables
DataBase
Co-located (TMIPR) or
Cloud Model SimulationRTM
or Hybrid of the two
Retrieval Algorithm
Measured brightness Temperatures
Algorithm
Bayesian or Neuronal
Retrieved Variable
10
BRAIN Algorithm Principle
  • Derived from Gprof
  • Bayesian approach
  • Co-located data of TMI and PR
  • Completion with model simulation
  • Test base for error estimation

11
BRAIN Performances for TMI
12
BRAIN for MADRAS Algorithm
  • PR profile used to find a matching cloud model
    simulation profile in a primary database
  • Use a RTM to simulate TBs for MADRAS and TMI
  • Use TMI channels simulated vs. observed to infer
    error (also for Madras)
  • Build Madras database for BRAIN algorithm

13
Combined GEO-IR microwave (re-scaling algorithm)
Tests over Africa PR used as rainfall detector
14
Rainfall probability of occurencefrom Meteosat/PR
Systems rainfall efficiency deduced from
comparisons with Monthly GPCP
July 2000 tests and validation data
Monthly results in terms of monthly rainfall
Available validation data (collected by IRD)
15
Statistical indicators show some improvements
relative to a product as GPCP. This is still more
valid at smaller time scales (10 days).
16
Further developments
  • use of new channels of MSG to improve the rain
    detection part of the re-scaling algorithm
  • Validation of BRAIN over Africa
  • Chaining between BRAIN and the re-scaling
    algorithm
  • Further validation studies over Africa during the
    AMMA experiment (African Monsoon Multiscale
    Experiment)
  • Hoping very much to have TRMM working during the
    most intensive phases of AMMA (2005-2007)
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