IARA - GoAmazon 2014
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1 IARA - GoAmazon 2014 Activities related to Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems (ACRIDICON) and CHUVA Project Luiz.Machado@cptec.inpe.br
2 General Scientific Questions HOW TO DESCRIBE/UNDERSTAND THE COMPLEX INTERACTION BETWEEN AEROSOL AND CLOUDS; HOW TO IMPROVE MODEL DESCRIPTION OF CLOUD MICROPHYSICS AND AEROSOL INTERACTIONS. HOW CLOUDS EVOLVE DURING THE LIFE CYCLE FOR DIFFERENT REGIMES (PRESTINE, POLUTTED, ISOLATED, MOUNSSON, FORESTED AND DEFORESTED); HOW TO HAVE QPE FROM SATELLITE SPECIALY FOR WARM CLOUDS; WHAT ARE THE MAIN MICROPHYSICAL PROCESS WHEN CLOUDS MOVES TO THUNDERSTORMS ; HOW BOUNDARY LAYER CONTROL/INFLUENCE THE CLOUD PROCESSES;
3 A BRIEF DISCUSSION ABOUT CLOUDS IN MANAUS IN THE DRY TO WET SEASON Strong Convection Orography Selection
4 CHUVA Project JAN FEB MAR APR MAY JUN JUL AUG SEP OCT NOV DEZ 2010 Alcantara 2011 Fortaleza Fortaleza Belem Belem Vale do Paraiba Vale do Paraiba 2012 Vale do Paraiba Vale do Paraiba Vale do Paraiba Santa Maria Santa Maria 2013 São Paulo São Paulo São Paulo São Paulo São Paulo São Paulo São Paulo 2014 Manaus Manaus Manaus Manaus Manaus Manaus
5 PROPOSED MEASUREMENTS STRATEGY INSTRUMENT CO-LOCATED
6 SELEX METEOR 50DX X-Band DUAL POLAION RADAR Instrumentation in GoAmazon Multi Instrument Container and Networks
7 Proposal Locations LMA
8 Satellites Validation and Ancillary Measurement TRMM and GPM core satellite - Dual Freq. Radar The core satellite and TRMM is possible to have both. Physical validation- Aerosol regimes impact the resultant physical characteristics of the precipitation. Precipitation estimation depends on cloud water vs. rain water threshold; impacts of aerosol loading/variability on rain water Droplet Size distribution and ice Particle size distribution the first is critical for precipitation estimation by radar and the latter being critical to how the ice scattering is used to estimate precipitation by satellite
9 Satellites Validation and Ancillary Measurement Outflow and cloud mass flux
10 Cloud Resolving Models Simullation and Comparison with Satellite and Radar Data Base cloud process and microphysics using high resolution model Figura 5.1 Campos de temperatura de brilho observada e simulada para os canais de emissão sobre o CMM. Coluna esquerda: TB observadas pelo sensor TMI às 09:40 UTC. Coluna direita: TB simuladas pelo RTTOV às 09:30 UTC de 18/01/2003. BRAMS 1 km
11 Specific Studies - Rain Cells Life Cycle and Size Cloud Life Cycle How Rainfall, Hydrometeor type and population, IWL, IIC evolve during the life cycle and what is the aerosol impact in each phase.
12 How to estimate the Cloud Liquid mixed - ice layer altitude Solid zone Mixed phase Liquid phase Cloud aerosol interaction Liquid layer ice layer mixed layer
13 Cloud Aerosol interaction Strong Vertical Motion Fig. 4. Mean, standard deviation and number of samples of RF for each black carbon bin (outer panel); RF distributions for three black carbon bins (inner panel). a, stable atmosphere; b, unstable atmosphere Reduce Entrainment Effect Fig. 5. Mean, standard deviation and number of samples of rain cells size for each black carbon bin (outer panel); Systems Size distributions for three black carbon bins (inner panel). a, stable atmosphere; b, unstable atmosphere.
14 Key parameters - Lightning - Cloud Regime - DSD (Life Time, pressure, cloud type)
15 Flight Pattern - Cloud over Forest and Deforested Von Randow et al., 2004 Fisch et al., 2002 Different Radiative and Thermodynamics processes W(h), DSD(h) is there a significant difference Wang et al., 2009 Durieux et al., 2003 Wind
16 Key parameters Updraft/downdraft, ice/water profile, ice type, PSD, aerosol concentration and profiles? Isolated Polluted Deforested Thunderstorm Monsoon Type Clear air Forest Shower
17
18 6 Thank you
IARA - GoAmazon 2014
IARA - GoAmazon 2014 Activities related to Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems (ACRIDICON) and CHUVA Project Luiz.Machado@cptec.inpe.br CHUVA
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