NDLI: Airplanes aloft as a sensor network for wind forecasting

Content Provider	IEEE Xplore Digital Library
Author	Kapoor, A. Horvitz, Z. Laube, S. Horvitz, E.
Copyright Year	2014
Description	Author affiliation: Seattle Acad. of Arts & Sci., Seattle, WA, USA (Horvitz, Z.; Laube, S.) \|\| Microsoft Res., Redmond, WA, USA (Kapoor, A.; Horvitz, E.)
Abstract	We explore the feasibility of using commercial aircraft as sensors for observing weather phenomena at a continental scale. We focus specifically on the problem of wind forecasting and explore the use of machine learning and inference methods to harness air and ground speeds reported by aircraft at different locations and altitudes. We validate the learned predictive model with a field study where we release an instrumented high-altitude balloon and compare the predicted trajectory with the sensed winds. The experiments show the promise of using airplane in flight as a large-scale sensor network. Beyond making predictions, we explore the guidance of sensing with value-of-information analyses, where we consider uncertainties and needs of sets of routes and maximize information value in light of the costs of acquiring data from airplanes. The methods can be used to select ideal subsets of planes to serve as sensors and also to evaluate the value of requesting shifts in trajectories of flights for sensing.
Starting Page	25
Ending Page	33
File Size	812197
Page Count	9
File Format	PDF
ISBN	9781479931460
e-ISBN	9781479931477
DOI	10.1109/IPSN.2014.6846738
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-04-15
Publisher Place	Germany
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Airplanes Atmospheric modeling Mathematical model Wind forecasting Kernel
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Libarray of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Airplanes aloft as a sensor network for wind forecasting

Airplanes Aloft as a Sensor Network for Wind Forecasting

Wind estimation for accurate airplane path following applications

Quadrotor control in a wind field

Short-term wind farm power forecasting with numerical weather prediction

Meteorology-based forecasting of air quality index using neural network

A Satellite-Borne Radar Wind Sensor (raws)

A new method for short-term wind power forecasting

Estimation of wind gusts using an unknown input observer

Airplanes aloft as a sensor network for wind forecasting

Similar Documents

Airplanes aloft as a sensor network for wind forecasting

Airplanes Aloft as a Sensor Network for Wind Forecasting

Wind estimation for accurate airplane path following applications

Quadrotor control in a wind field

Short-term wind farm power forecasting with numerical weather prediction

Meteorology-based forecasting of air quality index using neural network

A Satellite-Borne Radar Wind Sensor (raws)

A new method for short-term wind power forecasting

Estimation of wind gusts using an unknown input observer

Airplanes aloft as a sensor network for wind forecasting