Robert A. Arnone

Robert Arnone\u27s expertise is in the coupling biological optical and physical processes using ocean color satellite combined with ocean models. He has developed bio-optical algorithms from satellites and applied to ecological forecasting models using data assimilation from ship and gliders. He has developed new at sea optical instrumentation for measuring optical properties of ocean waters. Robert Arnone leads the National Ocean calibration and validation efforts for the Joint Polar Satellite System for NOAA, NASA, and Navy the NPP satellite ocean calibration and validation team with NOAA and university for SST and ocean color. He managed NRL’s Hyperspectral satellite Hyperspectral Imaging of the Coastal Environment (HICO) which was successfully launched to the International Space Station (Aug 2009). He serves on science teams for NASA, NOAA, EPA and Navy for developing future satellite systems and for establishing policy for ocean and coastal research (MODIS, SeaWIFS, VIIRS, GEOCAPE ,HICO). He has over 120 scientific publications and \u3e250 presentations in the areas of physical and bio-optical ocean processes. He has lead over 15 major national and international scientific oceanographic expeditions in the world oceans including Arabian Sea, Mediterranean, Japan East Sea, Iceland Greenland, and Gulf Stream . He has received awards for honors for “science to operations” transitions and NRL publication awards 1998 , 2002, 2008. He has received 2 Navy patents and NASA honors for astronaut training programs. He has received awards for Navy Meritorious Civilian Service Award ; US Dept of Navy - honors, and; NASA - honors for Shuttle Astronaut Training program, Navy Royalty Transition award. Her has served on graduate student committees at USM, RSMAS, and University of Southern Alabama. Robert Arnone retired from the Navy Research Laboratory as head of the Ocean Science Branch

Robert A. Arnone

Robert Arnone\u27s expertise is in the coupling biological optical and physical processes using ocean color satellite combined with ocean models. He has developed bio-optical algorithms from satellites and applied to ecological forecasting models using data assimilation from ship and gliders. He has developed new at sea optical instrumentation for measuring optical properties of ocean waters. Robert Arnone leads the National Ocean calibration and validation efforts for the Joint Polar Satellite System for NOAA, NASA, and Navy the NPP satellite ocean calibration and validation team with NOAA and university for SST and ocean color. He managed NRL’s Hyperspectral satellite Hyperspectral Imaging of the Coastal Environment (HICO) which was successfully launched to the International Space Station (Aug 2009). He serves on science teams for NASA, NOAA, EPA and Navy for developing future satellite systems and for establishing policy for ocean and coastal research (MODIS, SeaWIFS, VIIRS, GEOCAPE ,HICO). He has over 120 scientific publications and \u3e250 presentations in the areas of physical and bio-optical ocean processes. He has lead over 15 major national and international scientific oceanographic expeditions in the world oceans including Arabian Sea, Mediterranean, Japan East Sea, Iceland Greenland, and Gulf Stream . He has received awards for honors for “science to operations” transitions and NRL publication awards 1998 , 2002, 2008. He has received 2 Navy patents and NASA honors for astronaut training programs. He has received awards for Navy Meritorious Civilian Service Award ; US Dept of Navy - honors, and; NASA - honors for Shuttle Astronaut Training program, Navy Royalty Transition award. Her has served on graduate student committees at USM, RSMAS, and University of Southern Alabama. Robert Arnone retired from the Navy Research Laboratory as head of the Ocean Science Branch

University at Buffalo Law School 100 Years: 1887–1987

This updated history of the University at Buffalo School of Law covers the first 100 years of the school.https://digitalcommons.law.buffalo.edu/alumni_affairs_books/1001/thumbnail.jp

Sensor to User - NASA/EOS Data for Coastal Zone Management Applications Developed from Integrated Analyses: Verification, Validation and Benchmark Report

The NASA Applied Sciences Program seeks to transfer NASA data, models, and knowledge into the hands of end-users by forming links with partner agencies and associated decision support tools (DSTs). Through the NASA REASoN (Research, Education and Applications Solutions Network) Cooperative Agreement, the Oceanography Division of the Naval Research Laboratory (NRLSSC) is developing new products through the integration of data from NASA Earth-Sun System assets with coastal ocean forecast models and other available data to enhance coastal management in the Gulf of Mexico. The recipient federal agency for this research effort is the National Oceanic and Atmospheric Administration (NOAA). The contents of this report detail the effort to further the goals of the NASA Applied Sciences Program by demonstrating the use of NASA satellite products combined with data-assimilating ocean models to provide near real-time information to maritime users and coastal managers of the Gulf of Mexico. This effort provides new and improved capabilities for monitoring, assessing, and predicting the coastal environment. Coastal managers can exploit these capabilities through enhanced DSTs at federal, state and local agencies. The project addresses three major issues facing coastal managers: 1) Harmful Algal Blooms (HABs); 2) hypoxia; and 3) freshwater fluxes to the coastal ocean. A suite of ocean products capable of describing Ocean Weather is assembled on a daily basis as the foundation for this semi-operational multiyear effort. This continuous realtime capability brings decision makers a new ability to monitor both normal and anomalous coastal ocean conditions with a steady flow of satellite and ocean model conditions. Furthermore, as the baseline data sets are used more extensively and the customer list increased, customer feedback is obtained and additional customized products are developed and provided to decision makers. Continual customer feedback and response with new improved products are required between the researcher and customer. This document details the methods by which these coastal ocean products are produced including the data flow, distribution, and verification. Product applications and the degree to which these products are used successfully within NOAA and coordinated with the Mississippi Department of Marine Resources (MDMR) is benchmarked

Atmospheric correction of AVIRIS data in ocean waters

Hyperspectral data offers unique capabilities for characterizing the ocean environment. The spectral characterization of the composition of ocean waters can be organized into biological and terrigenous components. Biological photosynthetic pigments in ocean waters have unique spectral ocean color signatures which can be associated with different biological species. Additionally, suspended sediment has different scattering coefficients which result in ocean color signatures. Measuring the spatial distributions of these components in the maritime environments provides important tools for understanding and monitoring the ocean environment. These tools have significant applications in pollution, carbon cycle, current and water mass detection, location of fronts and eddies, sewage discharge and fate etc. Ocean color was used from satellite for describing the spatial variability of chlorophyll, water clarity (K(sub 490)), suspended sediment concentration, currents etc. Additionally, with improved atmospheric correction methods, ocean color results produced global products of spectral water leaving radiance (L(sub W)). Ocean color results clearly indicated strong applications for characterizing the spatial and temporal variability of bio-optical oceanography. These studies were largely the results of advanced atmospheric correction techniques applied to multispectral imagery. The atmosphere contributes approximately 80 percent - 90 percent of the satellite received radiance in the blue-green portion of the spectrum. In deep ocean waters, maximum transmission of visible radiance is achieved at 490nm. Conversely, nearly all of the light is absorbed by the water at wavelengths greater than about 650nm and thus appears black. These spectral ocean properties are exploited by algorithms developed for the atmospheric correction used in satellite ocean color processing. The objective was to apply atmospheric correction techniques that were used for procesing satellite Coastal Zone Color Scanner (CZCS) data to AVIRIS data. Quantitative measures of L(sub W) from AVIRIS are compared with ship ground truth data and input into bio-optical models

Thinking Outside of the Blue Marble: Novel Ocean Applications Using the VIIRS Sensor

While planning for future space-borne sensors will increase the quality, quantity, and duration of ocean observations in the years to come, efforts to extend the limits of sensors currently in orbit can help shed light on future scientific gains as well as associated uncertainties. Here, we present several applications that are unique to the polar orbiting Visual Infrared Imaging Radiometer Suite (VIIRS), each of which challenge the threshold capabilities of the sensor and provide lessons for future missions. For instance, while moderate resolution polar orbiters typically have a one day revisit time, we are able to obtain multiple looks of the same area by focusing on the extreme zenith angles where orbital views overlap, and pair these observations with those from other sensors to create pseudo-geostationary data sets. Or, by exploiting high spatial resolution (imaging) channels and analyzing patterns of synoptic covariance across the visible spectrum, we can obtain higher spatial resolution bio-optical products. Alternatively, non-traditional products can illuminate important biological interactions in the ocean, such as the use of the Day-Night-Band to provide some quantification of phototactic behavior of marine life along light polluted beaches, as well as track the location of marine fishing vessel fleets along ocean fronts. In this talk, we explore ways to take full advantage of the capabilities of existing sensors in order to maximize insights for future missions

Investigation of advanced counterrotation blade configuration concepts for high speed turboprop systems. Task 5: Unsteady counterrotation ducted propfan analysis. Computer program user's manual

The primary objective of this study was the development of a time-marching three-dimensional Euler/Navier-Stokes aerodynamic analysis to predict steady and unsteady compressible transonic flows about ducted and unducted propfan propulsion systems employing multiple blade rows. The computer codes resulting from this study are referred to as ADPAC-AOACR (Advanced Ducted Propfan Analysis Codes-Angle of Attack Coupled Row). This report is intended to serve as a computer program user's manual for the ADPAC-AOACR codes developed under Task 5 of NASA Contract NAS3-25270, Unsteady Counterrotating Ducted Propfan Analysis. The ADPAC-AOACR program is based on a flexible multiple blocked grid discretization scheme permitting coupled 2-D/3-D mesh block solutions with application to a wide variety of geometries. For convenience, several standard mesh block structures are described for turbomachinery applications. Aerodynamic calculations are based on a four-stage Runge-Kutta time-marching finite volume solution technique with added numerical dissipation. Steady flow predictions are accelerated by a multigrid procedure. Numerical calculations are compared with experimental data for several test cases to demonstrate the utility of this approach for predicting the aerodynamics of modern turbomachinery configurations employing multiple blade rows

Implementing Donations and Processing Procedures for the Habitat for Humanity Metro-West/Greater Worcester ReStore

The Habitat for Humanity ReStore accepts donations of new and used furniture and home improvement tools and sells them at a fraction of the retail price. All proceeds are then used to fund Habitat’s local building projects to house families in need. The goal of this project was to implement an effective donations process for the Habitat for Humanity Restore. This goal was accomplished by (1) documenting the baseline processes, (2) evaluating sales, storage, and donations processes in detail, (3) assessing workforce activities, and (4) designing and testing scenarios

Analyzing Satellite Ocean Color Match-Up Protocols Using the Satellite Validation Navy Tool (SAVANT) At MOBY and Two AERONET-OC Sites

The satellite validation navy tool (SAVANT) was developed by the Naval Research Laboratory to help facilitate the assessment of the stability and accuracy of ocean color satellites, using numerous ground truth (in situ) platforms around the globe and support methods for match-up protocols. The effects of varying spatial constraints with permissive and strict protocols on match-up uncertainty are evaluated, in an attempt to establish an optimal satellite ocean color calibration and validation (cal/val) match-up protocol. This allows users to evaluate the accuracy of ocean color sensors compared to specific ground truth sites that provide continuous data. Various match-up constraints may be adjusted, allowing for varied evaluations of their effects on match-up data. The results include the following: (a) the difference between aerosol robotic network ocean color (AERONET-OC) and marine optical Buoy (MOBY) evaluations; (b) the differences across the visible spectrum for various water types; (c) spatial differences and the size of satellite area chosen for comparison; and (d) temporal differences in optically complex water. The match-up uncertainty analysis was performed using Suomi National Polar-orbiting Partnership (SNPP) Visible Infrared Imaging Radiometer Suite (VIIRS) SNPP data at the AERONET-OC sites and the MOBY site. It was found that the more permissive constraint sets allow for a higher number of match-ups and a more comprehensive representation of the conditions, while the restrictive constraints provide better statistical match-ups between in situ and satellite sensors