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image of NAMMA aircraft
image from NAMMA campaign showing dust over west Africa
image of cloud from NAMMA flight

NAMMA

NASA African Monsoon Multidisciplinary Analyses

The African Monsoon Multidisciplinary Analyses (NAMMA) campaign was a field research investigation sponsored by NASA's Science Mission Directorate (SMD). This campaign was based in the Cape Verde Islands, 350 miles off the coast of Senegal in west Africa. 

Commenced in August 2006, NASA scientists employed surface observation networks and aircraft to characterize the evolution and structure of African Easterly Waves (AEWs) and Mesoscale Convective Systems over continental western Africa, and their associated impacts on regional water and energy budgets. NASA also made extensive use of its orbiting satellites (including Aqua, TRMM, and Cloudsat/CALIPSO) and modeling capabilities to improve its forecasts and flight plans.

The major research topics of the NAMMA campaign examined the formation and evolution of tropical hurricanes in the eastern and central Atlantic and their impact on the U.S. east coast, and the composition and structure of the Saharan Air Layer, and whether aerosols affect cloud precipitation and influence cyclone development. NASA's DC-8 medium altitude research aircraft served as the primary research tool for the NAMMA investigations. The aircraft was outfitted with in situ and remote atmospheric research instrumentation, flying a complement of 40 crew and scientists conducting 8-hour missions every 2-3 days over the eastern Atlantic Ocean. The DC-8 was flown in coordination with NASA’s NPOL and TOGA research weather radars, balloon soundings, and the SMART-COMMIT mobile research ground stations, measuring chemical, optical, microphysical, and radiative properties of the atmosphere. 

Scientists from NASA centers including Ames Research Center, Dryden Flight Research Center, Goddard Space Flight CenterJet Propulsion Laboratory, Langley Research Center, Marshall Space Flight Center, and multiple universities contributed to the success of the NAMMA mission. Additionally, the NOAA Hurricane Research Division collaborated with NASA through a complimentary Intensity Forecasting Experiment (IFEX 2006) in the Caribbean Sea. NOAA tracked and continued the study of individual AEWs and tropical storms downwind of the NAMMA area as they moved westward across the Atlantic Ocean.

Research planned under the auspices of this campaign was in collaboration with the international African Monsoon Multidisciplinary Analyses (AMMA) experiment, conducted during the Special Observation Period (SOP-3) in the summer of 2006. The NASA contribution of this larger campaign focused on the downstream or oceanic evolution of precipitating convective systems, largely as this evolution pertained to tropical cyclogenesis.

Study DatesAugust 15 - September 15, 2006
RegionCape Verde Islands
Focus AreasMonsoons

DC-8 Instruments

NameAcronymPrincipal InvestigatorTypeDescription
2D-S (stereo) probe2D-S (stereo) probePaul Lawson, Spec Inc.Cloud particle sizing and imaging
Measures particle size distribution and black and white images. Derives extinction, particle concentration, ice water content and particle shape.
Dual-Frequency Airborne Precipitation RadarAPR-2Eastwood Im / Jet Propulsion Laboratory14/35-GHz dual-frequency Doppler radar

Measures:
• Simultaneous HH (co-pol) radar backscatter power profiles at 14 and 35 GHz
• Simultaneous HV (cross-pol) radar backscatter power profiles at 14 and 35 GHz
• Vertical Doppler frequency profiles at 14 and 35 GHz

Derives:
• Simultaneous HH (co-pol) radar reflectivity at 14 and 35 GHz
• Simultaneous Linear Depolarization Ratio (LDR) at 14 and 35 GHz
• Vertical Doppler fall velocity at 14 and 35 GHz
• Rainfall rate
• Drop-size distribution parameters
• Surface backscattering coefficients

Cloud Particle ImagerCPIPaul Lawson, Spec Inc.Cloud particle sizing and imaging
Measures particle size distribution and images with 256 gray levels. Derives extinction, particle concentration, ice water content and particle shape.
Cloud Aerosol and Precipitation SpectrometerCAPSAndy Heymsfield, NCAROptical array imaging probe and scattering spectrometer
Measures particle size distributions 0.5um-6.2mm . Derives Ice water content, extinction, radar reflectivity, fall velocity .
Carbon mOnoxide By Attenuation of Laser TransmissionCOBALTJim Podolske - NASA Ames Research Center; Co-I's Glenn S. Diskin and Bruce E. Anderson, NASA Langleyin-situ laser absorption spectrometer
Measures carbon monoxide mixing ratio; Derives carbon monoxide mixing ratio profiles
Counterflow Virtual ImpactorCVICynthia Twohy, Oregon State UniversityIn-situ Droplet Impactor
Measures cloud condensed water content (CWC), nuclei composition (by electron microscopy).
Diode Laser HygrometerDLH

PI:Glenn Diskin - NASA Langley Research Center

Co-I :Jim Podolske - NASA Ames Research Center

in-situ Diode Laser Absorption Spectrometer
Measures water vapor mixing ratio; Derives water vapor partial pressure, relative humidity, water vapor flux
High Altitude Monolithic Microwave Integrated Circuit Sounding RadiometerHAMSRBjorn Lambrigtsen, Jet Propulsion LaboratoryMicrowave radiometer
Measures brightness temperatures in 25 spectral channels & 3 spectral bands. Derives temperature, water vapor & liquid water vertical profiles; precipitation; convective intensity .
Langley Aerosol Research Group ExperimentLARGE
Bruce E. Anderson, NASA Langley Research Center; Co-I's: Glenn S. Diskin - NASA Langley and Jim Podolske - NASA Ames Research Center
In situ aerosol sensors including condensation nuclei counters, optical particle spectrometers, an aerodynamic particle sizer, multi-wavelength particle-soot absorption photometers, and integrating nephelometers
Measures: Ultrafine aerosol number density, total and non-volatile aerosol number density, dry aerosol size distribution from 0.01 to 10 mm, total and submicron aerosol absorption coefficients at 470, 535, and 670 nm, total and submicron aerosol scattering coefficients at 550 nm, and total scattering and hemispheric backscattering coefficients at 400, 550 and 700 nm. Derives Aerosol size statistics (mode, number and mass mean diameters, etc.), aerosol surface area and mass loading, aerosol extinction, single scattering albedo, and angstrom coefficients.
Lidar Atmospheric Sensing ExperimentLASEEdward V. Browell (PI), Syed Ismail (Co-PI) NASA LangleyLidar
Measures water vapor mixing ratio and aerosol scattering ratio (815 nm) profiles. Derives relative humidity, equivalent potential temperature, virtual potential temperature, precipitable water vapor profiles; also aerosol backscatter, aerosol extinction, aerosol optical thickness profiles (815 nm)
Meteorological Measurement SystemMMST. Paul Bui, NASA Ames Research CenterIn situ DC-8 measurements
Measures aircraft position, velocities, acceleration, and attitudes; air flow with respect to aircraft (angle-of-attack, angle-of-sideslip), total temperature, fuselage pressure, total pressure. Derives atmospheric state variables (static pressure, static temperature, 3-dimensional wind field).
Real Time Mission MonitorRTMMRich Blakesleereal time data acquisition, visualization, and situational awareness
The NAMMA RTMM integrates satellite and radar imagery, model output data, lightning location observations, aircraft (including balloon) navigation data, overlays (e.g., dropsonde analyses), and other data sets. A key addition and advance during NAMMA will be to provide, for the first time, a local RTMM capability on the DC-8 aircraft itself during the flights, enabling on-board scientists and aircraft operators to have access to imagery and data sets unavailable in prior campaigns.
Research Environment for Vehicle-Embedded Analysis on LinuxREVEALLawrence C. Freudingeronboard data acquisition, processing, recording systems and communicationsIn-Field Quick Look Products: Quick looks at vehicle sate, fuel temperature monitoring, various environmental parameters.
Direct Products: vehicle data bus interfaces, vehicle time-space-position information, sun angle calculations, and custom real-time and post-flight data products. Provides real-time data feeds to LIP displays and TCSP Team.

Ground Instruments

NameAcronymPrincipal InvestigatorTypeDescription
NASA Polarimetric RadarNPOLJohn Gerlach and Paul KuceraDual polarized S-band Doppler radar

Measures vertical distribution of radar reflectivity, velocity, differential reflectivity, differential phase, correlation coefficient. Derives rainfall estimates and rainfall rates

Radiosonde/ Tethersonen/aEverette Joseph, PI,  Greg Jenkins, Co-I, Jose Fuentes, Co-Isonde

Investigate: 1. precipitating systems that may lead to tropical cyclogenesis over the eastern Atlantic Ocean; 2. mesoscale convective systems properties and lifecycle characteristics; 3. surface-atmosphere interactions and its relationship to cloud and precipitation processes; and 4. validation of space-borne products, with an emphasis on TRMM in a coastal environment and quantifying errors associated with the under-sampling (spatial and temporal) of precipitating features on various time-scales (daily, weekly, monthly).

Surface-sensing Measurements for Atmospheric Radiative Transfer

Chemical, Optical, and Microphysical Measurements of In-situ Troposphere

SMART-COMMITJack Ji, Earth System Science Interdisciplinary Center, University of Maryland College Park (ESSIC, UMCP)radiometers, lidar, particle sizers, gas monitors, meteorological sensors, tethered radiosonde
Measures radiances, irradainces, back scatter profile, atmospheric state variables, aerosol scattering/absorbing, particle size distribution, trace gas concentrations, sky image. Derives temperature and water vapor profiles, aerosol scattering/absorbing coefficients, aerosol optical thickness, extinction profile, surface BRDF, cloud and dust properties.
Tropical Ocean-Global Atmosphere Radar TOGAJohn Gerlach and Robert CifelliC-band linear polarized Doppler radar
Measures vertical distribution of radar reflectivity, velocity, differential reflectivity, differential phase, correlation coefficient. Derives: rainfall estimates and rainfall rates
Starnet NetworkStarnetVasso Kotroni and Kostas LagouvardosVLF Sferics Array
Identifies location and polarity of lightning (primarily
cloud-to-ground)