@InProceedings{NotoKeKaRiMiSoBr:2018:ReObNe,
author = "Noto, John and Kerr, Robert and Kapali, Sudha and Riccobono,
Juanita and Migliozzi, Michael A. and Souza, Jonas Rodrigues de
and Brum, Christiano Garnett Marques",
affiliation = "{Computational Physics Inc. Springfield} and {Computational
Physics Inc. Springfield} and {Computational Physics Inc.
Springfield} and {Computational Physics Inc. Springfield} and
{Computational Physics Inc. Springfield} and {Instituto Nacional
de Pesquisas Espaciais (INPE)} and {SRI International Menlo
Park}",
title = "Recent observations of neutral winds in Brazil",
year = "2018",
organization = "AGU Fall Meeting",
abstract = "Data from two new Fabry-Perot Doppler Imagers recently installed
in Brazil for the Brazilian space agency, INPE, are released and
described. These represent a novel implementation of
instrumentation remotely measuring winds and temperatures of the
neutral atmosphere at thermospheric altitudes. Incorporating
recent optical manufacturing developments, modern network
awareness and the application of machine learning techniques for
intelligent self-monitoring and data classification, this class of
instruments is prepared to provide the neutral wind and
temperature context for proper physics-based Space Weather
nowcasting and forecasting. These new Fabry-Perot systems achieve
high precision measurements of neutral winds and temperatures,
with high data collection rates using internet aware, cloud-based
analysis and operations. Cost savings in manufacturing, deployment
and lifetime operating costs have been achieved allowing for
deployment in remote locations. This disruptive technology will
allow computer models of ionospheric variability and storm-time
response to operate with higher precision. Other sensors, imagers,
photometers, ionosondes, and MF radars can be folded into the data
collection and analysis architecture, easily creating autonomous
virtual observatories. The prototype version of this sensor has
recently been deployed in Trivandrum India for the Indian
Government. Arrays of magnetometers have been deployed for the
last 20 years [Alabi, 2005]. Other examples of ground based arrays
include an array of white-light all sky imagers (THEMIS) deployed
across Canada [Donovan et al., 2006], oceans sensors on buoys
[McPhaden et al., 2010], and arrays of seismic sensors [Schweitzer
et al., 2002]. A comparable array of Doppler imagers and related
space weather sensors can be constructed and deployed on the
ground, complementing existing networks and increasing the overall
amount of data available for space weather prediction.",
conference-location = "Washington, D. C.",
conference-year = "10-14 dec.",
language = "en",
targetfile = "NotoAgu2018.pdf",
urlaccessdate = "27 abr. 2024"
}