ER-2 X-Band Doppler Radar (EXRAD) EPOCH V1
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The ER-2 X-Band Doppler Radar (EXRAD) EPOCH dataset consists of radar reflectivity and Doppler velocity estimates collected by the EXRAD onboard the AV-6 Global Hawk Unmanned Aerial Vehicle research aircraft, though traditionally this instrument is flown on the NASA ER-2 aircraft. These data were gathered during the East Pacific Origins and Characteristics of Hurricanes (EPOCH) project. EPOCH was a NASA program manager training opportunity directed at training NASA young scientists in conceiving, planning, and executing a major airborne science field program. The goals of the EPOCH project were to sample tropical cyclogenesis or intensification of an Eastern Pacific hurricane and to train the next generation of NASA Airborne Science Program leadership. The EXRAD EPOCH dataset files are available from August 9, 2017 through August 31, 2017 in HDF-5 format.
TCSP ER-2 MODIS AIRBORNE SIMULATOR (MAS) V1
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The TCSP ER-2 MODIS Airborne Simulator (MAS) dataset was collected by a MODIS Airborne Simulator (MAS), which is a multi-spectral line-scanner system that acquires image data in 50 spectral bands over wavelengths ranging from 0.46 to 14.3 microns. Flown on the ER-2 aircraft at an operating altitude of 19.8 km (65,000 ft.), it produces nominal pixel sizes of 50 meters. MAS includes nine spectral bands in the visible/near infrared, 16 bands in the shortwave infrared, 16 bands in the mid-wave infrared, and nine bands in the thermal infrared regions of the spectrum. The instrument field-of-view is 86 degrees, with an IFOV of 2.5 mrad. The MAS collected calibrated multi-spectral imagery from the ER-2 aircraft during the TCSP experiment. The MAS was developed by NASA primarily to validate L1B and L2 science products from the EOS satellite program. MAS data enables (1) the mapping of sub-pixel variation within the co-incident footprints of many orbital instruments (e.g. MODIS, AIRS, HIRS, AVHRR, GOES) in the visible and thermal infrared spectral regions and (2) the estimation of surface, aerosol, and cloud properties at 50 meter spatial resolution. The TCSP mission collected data for research and documentation of cyclogenesis, the interaction of temperature, humidity, precipitation, wind and air pressure that creates ideal birthing conditions for tropical storms, hurricanes and related phenomena. The goal of this mission was to help us better understand how hurricanes and other tropical storms are formed and intensify.
Enhanced MODIS Airborne Simulator (eMAS) L2 Aerosol Data
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The Enhanced Moderate Resolution Imaging Spectroradiometer (MODIS) Airborne Simulator (eMAS)instrument is maintained and operated by the Airborne Sensor Facility at NASA Ames Research Center in Mountain View, California, under the oversight of the EOS Project Science Office at NASA Goddard. The eMAS instrument is now a 38-channel instrument, sensing in the range from 0.445 to 13.844 um.The Enhanced MODIS Airborne Simulator (eMAS) L2 Aerosol Data product (eMASL2AER) consists of in-situ measurements of trace gas and aerosol emissions for wildfires and prescribed fires in great detail, relate them to fuel and fire conditions at the point of emission, characterize the conditions relating to plume rise, follow plumes downwind to understand chemical transformation and air quality impacts, and assess the efficacy of satellite detections for estimating the emissions from sampled fires. These measurements were collected onboard the DC-8 aircraft during FIREX-AQ, during summer 2019. The DC-8 aircraft had a comprehensive instrument payload capable of measuring over 200 trace gases as well as aerosol microphysical, optical, and chemical properties. The eMASL2AER product files are stored in Hierarchical Data Format (HDF-EOS). All gridded cloud parameters are stored as Scientific Data Sets (SDS) within the file.For more information and for a list of MAS campaign flights visit ladsweb at:https://ladsweb.modaps.eosdis.nasa.gov/missions-and-measurements/mas/or, visit the eMAS Homepage at:https://asapdata.arc.nasa.gov/emas/
SEAC4RS ER-2 Aircraft In-Situ Meteorological and Navigational Data
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SEAC4RS_MetNav_AircraftInSitu_ER2_Data are in-situ meteorological and navigational data collected onboard the ER-2 aircraft during the Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEA4CRS) airborne field study. Data collection for this product is complete.Studies of Emissions and Atmospheric Composition, Clouds and Climate Coupling by Regional Surveys (SEAC4RS) airborne field study was conducted in August and September of 2013. The field operation was based in Houston, Texas. The primary SEAC4RS science objectives are: to determine how pollutant emissions are redistributed via deep convection throughout the troposphere; to determine the evolution of gases and aerosols in deep convective outflow and the implications for UT/LS chemistry; to identify the influences and feedbacks of aerosol particles from anthropogenic pollution and biomass burning on meteorology and climate through changes in the atmospheric heat budget (i.e., semi-direct effect) or through microphysical changes in clouds (i.e., indirect effects); and lastly, to serve as a calibration and validation test bed for future satellite instruments and missions.The airborne observational data were collected from three aircraft platforms: the NASA DC-8, ER-2, and SPEC LearJet. Both the NASA DC-8 and ER-2 aircraft were instrumented for comprehensive in-situ and remote sensing measurements of the trace gas, aerosol properties, and cloud properties. In addition, radiative fluxes and meteorological parameters were also recorded. The NASA DC-8 was mostly responsible for tropospheric sampling, while the NASA ER-2 was operating in the lower stratospheric regime. The SPEC LearJet was dedicated to in-situ cloud characterizations. To accomplish the science objectives, the flight plans were designed to investigate the influence of biomass burning and pollution, their temporal evolution, and ultimately, impacts on meteorological processes which can, in turn, feedback on regional air quality. With respect to meteorological feedbacks, the opportunity to examine the impact of polluting aerosols on cloud properties and dynamics was of particular interest.