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 CHUVA Instrumentation in GoAmazon Multi Instrument Container and Networks SELEX METEOR 50DX X-Band DUAL POLAION RADAR
3 - Trainning Course -SOS- GoAmazon - Manaus. - Data Compiled (including Manaus SIPAM S- Band) : CHUVA Instrumentation in GoAmazon 1) The radar X Band Dual POL probably SIPAM. 2) The MP3000, Joss Disdrometer and Raingauge at the Embrapa 3The MRR, Parsivel Disdrometer, Raingauge and Surface Flux Station in the T2 at Iranduba 4) The LMA network (It depends from Rachel Project) 5) The GPS network additionally with David Adams effort. 6) Radiossonde at Air Force Base and ZF2 7) Parsivel disdrometer, Raingauge and MRR in UEA.
4 Proposal Locations LMA
5 Radiossonde CHUVA 200 Radiosonde Interactions between urban and forest emissions in Manaus, Amazon 150 wet and 150 dry to wet IOP 25 days 4 sondes/day
6 Others Instruments
7 The SOS real time data for mission planning and operation
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 Faculty of Physics and Earth Science Leipzig Institute for Meteorology Boa Tarde! O meu nome é Manfred Wendisch. Muito obrigado for organizing this meeting. m.wendisch@uni-leipzig.de
10
11 Faculty of Physics and Earth Science Leipzig Institute for Meteorology Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems (ACRIDICON) M. Wendisch (Uni Leipzig), U. Pöschl (MPIC Mainz) and the GERMAN Team
12 Faculty of Physics and Earth Science Leipzig Institute for Meteorology Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems (ACRIDICON) M. Wendisch (Uni Leipzig), U. Pöschl (MPIC Mainz) and the GERMAN Team + Luiz Machado and the BRAZILIAN Team m.wendisch@uni-leipzig.de
13 Faculty of Physics and Earth Science Leipzig Institute for Meteorology Aerosol, Cloud, Precipitation, and Radiation Interactions and Dynamics of Convective Cloud Systems (ACRIDICON) Funded by - the German Science Foundation (DFG) Max Planck Society (MPI), HGF, DLR, Within the Priority Program of DFG for the High Altitude and Long Range Research Aircraft (HALO) 30 Projects m.wendisch@uni-leipzig.de
14 ACRIDICON Mission Types (1) Cloud Vertical Evolution (Cloud Profiling) (2) Aerosol Processing (Inflow, Outflow) (3) Satellite Validation (Cloud Products) (4) Vertical Transport & Mixing (Artificial Tracer) (5) Clouds formed over Forest/deforested areas (forested and deforested) Contrast of pristine and highly polluted conditions (in comparable thermodynamic environments) Contrasting thermodynamic conditions (cloud base temperatures, humidity fields, wind shear)
15 ACRIDICON Mission Type 1: Cloud Vertical Evolution Objectives: Observe - Vertical evolution of cloud microphysical properties, - Droplet/crystal growth and freezing mechanisms, - Warm and cold precipitation formation. Strategy: Sample - Below cloud, - At cloud base at an early stage, - In growing upshear parts - The anvil region, and - Above cloud top. Profile ft: 1.5 hours
16 ACRIDICON Mission Type 2: Aerosol Processing 8-13 km 3 hrs 2-8 km 1 hr 0-2 km 1 hr
17 ACRIDICONMission Type 2 and 4 : Aerosol Processing Long-Range Outflow - Characterize aged particle outflow of several cloud systems. - Compare with upper troposphere background.
18 ACRIDICON Mission Type 3: Satellite Validation Fast cloud development requires adequate methods! Stochastic approches Random flight tracks A-Train, UTC, Spain MODIS Total duration = 4-6 h 1 0
19 ACRIDICON Measurement Parameters and Techniques Microphysical probes: - Aerosol particles (SD, BC, CCN, IN, Backscatter, Depol, Mixing State, Hygroscopicity) - Cloud droplets and ice crystals (SD, LWC, IWC) Inlets: - Droplets (CVI) - Aerosol particles MAI (submicrometer) HASI (micrometer)
20 ACRIDICON Measurement Parameters and Techniques Microphysical probes: - Aerosol particles (SD, BC, CCN, IN, Backscatter, Depol, Mixing State, Hygroscopicity) - Cloud droplets and ice crystals (SD, LWC, IWC) Inlets: - Droplets (CVI) - Aerosol particles MAI (submicrometer) HASI (micrometer) Radiation: - Spectral Radiometers (solar) Radiance Irradiance - DOAS, LIDAR Trace gases: CO, O 3, SO 2, NO x, NO y, PFC, CH 2 O NO 2, HONO, BrO, IO, OIO, O 2 und O 4, H 2 O (Gas)
21 Faculty of Physics and Earth Science Leipzig Institute for Meteorology
22 ACRIDICON Mission Type 1: Cloud Vertical Evolution flight track points of measurement scan sector spectrometers VIS NIR
23 ACRIDICON Mission Type 1: Cloud Vertical Evolution
24 Product Primary ACRIDICON Mission Type 3: Satellite Validation - A-Train: MODIS (1), AMSR (2), AMSU (3), CloudSat (4), CALIPSO (5), POLDER (6), CERES (7) - MSG: SEVIRI (8) Quantity Spectral Solar Radiance (1,6,7,8) Radar Reflectivity (4) Microwave Radiation (2,3) Polarized Spectral Solar Radiance (6) Lidar Attenuated Backscatter (5) Cloud Top Alt./Pressure/Temp. (1,2,3,4,5,6,8) Cloud Optical Thickness (1,6,8) Cloud Particle Diameter (1,6,8) Cloud Liquid Water Path (2,3,4) Cloud Ice Water Path (4) Cloud Phase (1,5,6,8) Vertical Distribution (2,3,4) Aerosol Properties (1,5,6) Energy Budget (7) Airborne Instrument In Situ SMART MWR Cloud Radar POLIS AMSSP Mini-DOAS, SMART-PRO: LWP and IWP 5
25 ACRIDICON Mission Type 4: Vertical Transport & Mixing Strategy: - Tagging of inflow by artificial tracer (e.g., Perfluorocarbon C 6 F 12 combined with SO 2, and CO) - Wait... - Characterize inflow - Vertical profiling - Penetrate anvil - Characterize outflow downwind the anvil - Scavenging and wet removal: Concentration relative to inert tracer
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