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Tools from the Indian space programme for observing and forecasting extreme weather events - Retrospect and prospect

A. S. KIRAN KUMAR
2021 Mausam  
A multidisciplinary approach comprising the use of space technology, ground based measurement network and high speed computing power, can form a backbone for observing and forecasting EWEs.  ...  Methods relying on only ground based weather observation networks are not adequate. Observations from space platforms offer regular and frequent measurements over a wide area.  ...  Data products software INSAT-3D processor indigenously designed and developed is based on service oriented architecture to cater to multiprocessing.  ... 
doi:10.54302/mausam.v67i1.1147 fatcat:wf4ha35udnardl5qhjqyfaum3e

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet, H. Elbern, H. Eskes, M. Hirtl, R. Žabkar, G. R. Carmichael, J. Flemming, A. Inness, M. Pagowski, J. L. Pérez Camaño, P. E. Saide, R. San Jose (+6 others)
2015 Atmospheric Chemistry and Physics  
Observational data sets available for chemical data assimilation are described, including surface data, surface-based remote sensing, airborne data, and satellite data.  ...  We review here the current status of data assimilation in atmospheric chemistry models with a particular focus on future prospects for data assimilation in CCMM.  ...  This work was realized within and supported by the COST Action ES1004 EuMetChem. Edited by: B. Vogel  ... 
doi:10.5194/acp-15-5325-2015 fatcat:d6owcysej5fu3jkypnx2t5jacm

Data assimilation in atmospheric chemistry models: current status and future prospects for coupled chemistry meteorology models

M. Bocquet, H. Elbern, H. Eskes, M. Hirtl, R. Žabkar, G. R. Carmichael, J. Flemming, A. Inness, M. Pagowski, J. L. Pérez Camaño, P. E. Saide, R. San Jose (+6 others)
2014 Atmospheric Chemistry and Physics Discussions  
Observational data sets available for chemical data assimilation are described, including surface data, surface-based remote sensing, airborne data, and satellite data.  ...  We review here the current status of data assimilation in atmospheric chemistry models with a particular focus on future prospects for data assimilation in CCMM.  ...  This work was realized within and supported by the COST Action ES1004 EuMetChem. ACPD  ... 
doi:10.5194/acpd-14-32233-2014 fatcat:4cgjkhwme5h7tkyz32imvctfay

A Vision and Framework for the High Altitude Platform Station (HAPS) Networks of the Future [article]

Gunes Kurt, Mohammad G. Khoshkholgh, Safwan Alfattani, Ahmed Ibrahim, Tasneem S. J. Darwish, Md Sahabul Alam, Halim Yanikomeroglu, Abbas Yongacoglu
2021 arXiv   pre-print
In this article, we provide a vision and framework for the HAPS networks of the future supported by a comprehensive and state-of-the-art literature review.  ...  A High Altitude Platform Station (HAPS) is a network node that operates in the stratosphere at an of altitude around 20 km and is instrumental for providing communication services.  ...  availability of the channel statistics/model.  ... 
arXiv:2007.15088v4 fatcat:6wcy7ndiebee3a3zvh7dymv6oq

Defense Advanced Research Projects Agency (Darpa) Fiscal Year 2016 Budget Estimates

Department Of Defense Comptroller's Office
2015 Zenodo  
Title: Robotic Servicing of Geostationary Satellites (RSGS) Description: A large number of national security and commercial space systems operate at geostationary earth orbit (GEO), providing persistence  ...  -Begin design of experimental sensor payloads compatible with a small satellite bus, and perform preliminary design review.  ... 
doi:10.5281/zenodo.1215366 fatcat:cqn5tyfixjanzp5x3tgfkpedri

The Federal Radionavigation Plan

WILLIAM K. MAY
1981 Navigation  
The probability of being within a circle of radius equal to 2 drms depends on the elongation of the error ellipse.  ...  The availability of WAAS is dependent on the operational status of the GPS constellation, WAAS assets (reference stations, master stations, ground uplink, geostationary satellites, and communications network  ...  Each GNSS system employs a constellation of satellites operating in conjunction with a network of ground stations.  ... 
doi:10.1002/j.2161-4296.1981.tb00771.x fatcat:uiqoj4rvxbb5znxcn3vu55lfsm

Knowledge Extracted from Copernicus Satellite Data

Dumitru Octavian, Schwarz Gottfried, Eltoft Torbjørn, Kræmer Thomas, Wagner Penelope, Hughes Nick, Arthus David, Fleming Andrew, Koubarakis Manolis, Datcu Mihai
2019 Zenodo  
By applying an already established active learning approach based on a Support Vector Machine with relevance feedback [2], we can limit ourselves to a limited number of typical satellite images to extract  ...  In this publication, we focus on the Polar case which requires the selection of validation areas, the generation of a training dataset, the development and testing of deep learning algorithms, and the  ...  a comprehensive network system of data management and sharing for the Scientific Investigation over the South China Sea.  ... 
doi:10.5281/zenodo.3941573 fatcat:zzifwgljifck5bpjnboetsftfu

The Infrared Absolute Radiance Interferometer (ARI) for CLARREO

Joe K. Taylor, Henry E. Revercomb, Fred A. Best, David C. Tobin, P. Jonathan Gero
2020 Remote Sensing  
This paper presents the ARI sensor's overall design, the new technologies developed to allow on-orbit verification and test of its accuracy, and the laboratory results that demonstrate its capability.  ...  It has been shown that such a climate observing system with <0.1 K 2‑σ overall accuracy would make it possible to realize times to detect subtle trends of temperature and water vapor distributions that  ...  and John Dykema; Henry Buijs and Frederic Grandmont at ABB-Bomem; and our ARI team members at the University of Wisconsin-Madison Space Science and Engineering Center, Doug Adler, Mark Mulligan, Raymond  ... 
doi:10.3390/rs12121915 fatcat:62bs2evpgjb27ivjt7uka27fl4

The Challenge of Machine Learning in Space Weather Nowcasting and Forecasting [article]

Enrico Camporeale
2019 arXiv   pre-print
On the other hand, this paper serves as a gentle introduction to the field of machine learning tailored to the space weather community and as a pointer to a number of open challenges that we believe the  ...  The recurring themes throughout the review are the need to shift our forecasting paradigm to a probabilistic approach focused on the reliable assessment of uncertainties, and the combination of physics-based  ...  This project has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement No 776262 (AIDA). No data was used.  ... 
arXiv:1903.05192v2 fatcat:dteqivqsibglfkye5gkfnocici

The Fronts and Atlantic Storm-Track Experiment (FASTEX): Scientific Objectives and Experimental Design

Alain Joly, Dave Jorgensen, Melvyn A. Shapiro, Alan Thorpe, Pierre Bessemoulin, Keith A. Browning, Jean-Pierre Cammas, Jean-Pierre Chalon, Sidney A. Clough, Kerry A. Emanuel, Laurence Eymard, Robert Gall (+8 others)
1997 Bulletin of The American Meteorological Society - (BAMS)  
testing of theoretical ideas on cyclone formation and development, and to document the vertical and the mesoscale structure of cloud systems in mature cyclones and their relation to the dynamics.  ...  The Fronts and Atlantic Storm-Track Experiment (FASTEX) will address the life cycle of cyclones evolving over the North Atlantic Ocean in January and February 1997.  ...  Pouponneau, A. Alibert, F. Lalaurette, and others. Their contributions at all stages to FASTEX planning is gratefully acknowledged. The organization of FASTEX is coordinated by the FASTEX Core  ... 
doi:10.1175/1520-0477(1997)078<1917:tfaast>2.0.co;2 fatcat:pyq6sooxdvha7ezusvydrr4thi

The Challenge of Machine Learning in Space Weather: Nowcasting and Forecasting

E. Camporeale
2019 Space Weather: The international journal of research and applications  
Space weather is a discipline that lives between academia and industry, given the relevant physical effects on satellites and power grids in a variety of applications, and the field therefore stands to  ...  The recurring themes throughout the review are the need to shift our forecasting paradigm to a probabilistic approach focused on the reliable assessment of uncertainties, and the combination of physics-based  ...  This project has received funding from the European Union's Horizon 2020 research and innovation programme under Grant Agreement 776262 (AIDA www.aida-space.eu).  ... 
doi:10.1029/2018sw002061 fatcat:j56q7jdpffgxde3tnxt23o64z4

Tutorial Review on Space Manipulators for Space Debris Mitigation

Ellery
2019 Robotics  
We begin with a cursory review of on-orbit servicing manipulators followed by a short review on the space debris problem.  ...  Space-based manipulators have traditionally been tasked with robotic on-orbit servicing or assembly functions, but active debris removal has become a more urgent application.  ...  ROGER (Robotic Geostationary Orbit Restorer) was a net-based concept for GEO satellite recovery to reduce the incidence of large space debris [47] .  ... 
doi:10.3390/robotics8020034 fatcat:6aorr2lxa5bdpfgpk7ttvsqbrq

Towards a demonstrator for autonomous object detection on board Gaia

Shan Mignot, Jacobus M. Oschmann, Jr., Mark C. Clampin, Howard A. MacEwen
2010 Space Telescopes and Instrumentation 2010: Optical, Infrared, and Millimeter Wave  
This document collects a number of functional and performance requirements which then form the backbone of the developments.  ...  Methods based on neural networks might have been used for this purpose to automatically yield an optimal organisation based on the selected learning paradigm and on a database of representative cases.  ...  We have devised a prototype to assess achievable performances and assist in sizing the on-board electronics (PDHE TDA).  ... 
doi:10.1117/12.857118 fatcat:5z6jahmhszec3bgsvnmapxudym

Joint Polar Satellite System Science Seminar annual digest, 2014

Joint Polar Satellite System Program (U.S.)
2014
extended to the development of this digest; George Tuggle, for the cover design; the NOAA JPSS Office, for their ongoing support in the development of this digest; and the authors and editors.  ...  Acknowledgments Thank you to: Julie Price, for leading the development of these articles; Bill Sjoberg for his coordination and support of PGRR projects; Lauren Gaches and Stephanie Moore, for the assistance  ...  These include: PMW retrievals Retrievals from space borne PMW sensors provide estimates of instantaneous precipitation rates and are the backbone of modern satellite-based global precipitation data sets  ... 
doi:10.7289/v5k935tf fatcat:2ztyyx2q5rbsxlckygralpnea4

Geostationary Extended Observations (GeoXO) Hyperspectral InfraRed Sounder Value Assessment Report

Jeffrey Adkins
2021
This hyperspectral sounder on a satellite grew out of earlier hyperspectral sounders on aircraft (e.g., Smith et al. 1990 ).  ...  Many of these, and other, applications were discussed in Schmit et al. (2009), a paper on the potential benefits of high-spectral IR observations from the geostationary orbit.  ...  benefit analysis, the team found that the measurements from an IR HSS have potential to provide both technical benefit to weather forecasting skill and a potentially large return on investment if manifested  ... 
doi:10.25923/7zvz-fv26 fatcat:yrskmyiqrjbabkouf7jg6qho3u
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