1. Megha Tropiques (GP Retrieval and Applications plan) Vijay K. Agarwal, MOG/SAC Oct. 17-20, 2005

2. MT- Utilization Plan: Themes Geo-Physical Retrievals and validations Synergy of data from different sources & value addition Scientific Studies –Convective systems –Cloud-Radiation interaction –Data assimilation in models –Air-sea interaction Applications on semi-operational level –Synoptic studies –Near real time applications in weather forecast –Ocean state forecast –Land applications

3. Geo-physical Retrieval Components MADRAS –Simulation studies using Radiative Transfer –Basic algorithms for retrieval of rainfall and other GPP –Validation experiments using TRMM SAPHIR –Simulations using RT –Experiments with AMSR, ATOVS data ScaRAB –Experiments with ERBE data –Experiments with NOAA derived radiative fluxes

4. MADRAS Retrievals RT simulations continued using a data base from TRMM and PR for more than three years on optimum spatial and temporal scales. First version of rainfall using integrated Scattering Index (SI) and Polarization Corrected Temperature (PCT) methods in final stages of testing using DWR observations. Work has been initiated for blending Geo-St. IR and polar orbiting MW observations from INSAT & TRMM. Algorithm for inversion of MT measurements for WV and other geo-physical parameters based on Bayesian approach

5. COMPARISON OF RAINFALL FROM NASA, PR & PRESENT ALGORITHMS NASA TMI RAINRATE NASA PR RAINRATE TMI RAINRATE (PRESENT ALGORITHM) OCTOBER 10, 2002

6. VALIDATIONS: TRMM VS. DWR RAINFALL OCTOBER 17, 2002 NASA-GPR OF RAINFALL PRODUCT

7. TMI DERIVED GEOPHYSICAL PARAMETERS) OVER LAND (03/06/2003-15GMT)

8. SAPHIR: Humidity profile Emission based RT simulations using simulated atmospheres Retrievals using Statistical & EOF techniques Improvement in lower level humidity profile through total water vapour content Impact of viewing geometry & surface contamination on retrievals At nadir view with dry atmosphere, the low freq channels are contaminated by surface contributions At oblique view with moist atmosphere, the low freq channels are less sensitive to boundary layer humidity which contributes the most to many meteorological & oceanographic processes

9. SAPHIR CHANNELS’ RESPONSE (NADIR VIEW) At nadir view with dry atmosphere, the low freq channels are contaminated by surface contributions Dry AtmosphereMoist Atmosphere

10. SAPHIR CHANNELS’ RESPONSE (OBLIQUE VIEW) At oblique view with moist atmosphere, the low freq channels are less sensitive to boundary layer humidity which contributes the most to many meteorological & oceanographic processes Moist AtmosphereDry Atmosphere

11. ATMOSPHERIC HUMIDITY PROFILE FROM AMSU-B DATA RETRIEVAL MODEL FOR LAYER AVERAGED RELATIVE HUMIDITY Date: 9 June, 2002: 0711 GMT

12. Utilization for science studies Atmospheric Studies –Assimilation in GCM & RCM –Cloud radiative forcing studies –Studies of severe convective system Oceanographic Studies –Impact of Soil moisture & vegetation cover on Asian Monsoon region –Inter-annual variability of Asian Monsoon –Study of Indian Ocean Dipole Climate studies –Impact of Indonesian Through Flow over thermodynamics of Indian Ocean –Impact of land-surface observations on regional climate

13. Atmospheric studies

14. Data Assimilation in Atmospheric Models NCEP Analysis Assimilation of MSMR-derived soil moisture in ERMP model (July 2001) Control Run SM assimilation Rainrate (mm/day) Assimilation of scatterometer winds in MM5 (PSLV-C3 Launch October 2001) Control Quikscat Analysis  CMV & Q-Scat winds in GCM & MM5  Rainfall in GCM  Soil moisture in GCM (Singh et al)

15. SCRF Vs Wind LCRF Vs Wind NCRF Vs Wind Association between Jet speed and Cloud Radiative Forcing For a 10 m/s increase in the speed of jet SCRF increases by 30Wm -2 LCRF increases by 12 Wm -2 NCRF increases by18 Wm -2

16. Oceanographic studies Studies of IO, El-Nino Fresh water flux Radiative & heat fluxes

17. Data Assimilation in Ocean Models Ocean state using SACMOM Monsoon variability using AGCM Cyclone simulations using MM5 Coupled ocean-atmosphere models SST ANOMALY SEP-DEC 1997

18. Relative performance of the model using the two wind products From 1997 till 1999 The model is forced with NCEP and then till 2004 with scatterometer winds Buoy Model SST D20 Isotherm

19. Errors in SW Fluxes: NCEP (61 watts/m 2 ), LY (37 watts/m 2 ) and OLR-based (45 watts/m 2 ) Watts/m 2 LY OLR NCEP Time Variation of SW Radiation in central Bay of Bengal Experiment 2: Impact of Shortwave Radiation on model simulations

20. Climatic studies Impact of land usage

22. Applications Demonstration Synoptic studies – Weather forecast – cyclone studies Ocean State Forecast Land applications – Applications in agro-meteorology – Variation of land surface emissivities

23. Cyclone studies (Disaster Management System) Cyclone track & storm surge prediction Tsunami generation & propagation Coastal inundation Cyclone Intensity Change prediction: Genetic approach

24. PredictorsPattern-Based PredictorsPattern-Based Minimum PCT in inner core Average PCT in inner core Average 10 V BT inner core Average 10 V BT in outer core Convective SHEAR ( angular shift b/w high density region of high BT(37 H ) and that of low PCT in 85 GHz image. BT (37-H) PCT

25. OCEAN WAVE FORECAST Components are: Ocean waves Ocean surface winds Sea Surface temperature Ocean currents Ocean Eddies Mixed Layer depth Ocean heat content and Lower level currents Applications: Optimal Ship routing Design of off-shore structures Ocean disaster management (e.g. Tsunami run-off, storm surge distribution etc.) Tsunami Propagation (26 Dec) 24 Hr Wave F/c for Coasts Uses Satellite & Buoys data, and Ocean numerical models

27. Animation of SSH for 1997-98