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Kayo Ide
University of Maryland, College Park
112Publications
29H-index
4,845Citations
Publications 117
Newest
#1Narges ShahroudiH-Index: 2
#2Yan ZhouH-Index: 9
Last.Ross N. HoffmanH-Index: 26
view all 6 authors...
The Micro-Sized Microwave Atmospheric Satellite (MicroMAS-2) is a 12-channel passive microwave radiometer on a CubeSat developed by Massachusetts Institute of Technology Lincoln Laboratory. MicroMAS-2 observations (1) enhance the current observing system capabilities and (2) mitigate the potential loss of some existing observations. Observing System Simulation Experiments (OSSEs) quantitatively estimate the expected impact of adding the MicroMAS-2 to the current global operational analysis and f...
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#1Yan Zhou (UMD: University of Maryland, College Park)H-Index: 2
#2Narges Shahroudi (NOAA: National Oceanic and Atmospheric Administration)H-Index: 2
Last.Flavio Iturbide-Sanchez (NOAA: National Oceanic and Atmospheric Administration)H-Index: 8
view all 8 authors...
The CubeSat Infrared Atmospheric Sounder (CIRAS) is a proposed small satellite IR sounder developed in response to the challenges of high cost and possible data gaps for currently operational hyperspectral IR sounders, such as Atmospheric Infrared Sounder, Infrared Atmospheric Sounding Interferometer, and Crosstrack Infrared Sounder. A key objective of CIRAS is to demonstrate the technologies required for a low cost-to-orbit, operational IR sounder. CIRAS was designed by National Aeronautics and...
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#1Francis D. LagorH-Index: 4
#2Kayo IdeH-Index: 29
Last.Derek A. PaleyH-Index: 25
view all 3 authors...
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#1Ross N. Hoffman (Cooperative Institute for Marine and Atmospheric Studies)H-Index: 2
#2V. Krishna Kumar (NOAA: National Oceanic and Atmospheric Administration)H-Index: 5
Last.Robert Atlas (Atlantic Oceanographic and Meteorological Laboratory)H-Index: 33
view all 6 authors...
AbstractThe summary assessment metric (SAM) method is applied to an array of primary assessment metrics (PAMs) for the deterministic forecasts of three leading numerical weather prediction (NWP) ce...
1 CitationsSource
#1Sid-Ahmed Boukabara (NOAA: National Oceanic and Atmospheric Administration)H-Index: 14
#2Kayo Ide (UMD: University of Maryland, College Park)H-Index: 29
Last.Robert Atlas (Atlantic Oceanographic and Meteorological Laboratory)H-Index: 33
view all 9 authors...
AbstractObserving system simulation experiments (OSSEs) are used to simulate and assess the impacts of new observing systems planned for the future or the impacts of adopting new techniques for exploiting data or for forecasting. This study focuses on the impacts of satellite data on global numerical weather prediction (NWP) systems. Since OSSEs are based on simulations of nature and observations, reliable results require that the OSSE system be validated. This validation involves cycles of asse...
2 CitationsSource
#1C. T. Hsu (NCU: National Central University)H-Index: 2
#2Tomoko Matsuo (CIRES: Cooperative Institute for Research in Environmental Sciences)H-Index: 17
Last.Jann-Yenq Liu (NCU: National Central University)H-Index: 30
view all 7 authors...
3 CitationsSource
#1Sid-Ahmed Boukabara (NOAA: National Oceanic and Atmospheric Administration)H-Index: 14
#2Kayo Ide (UMD: University of Maryland, College Park)H-Index: 29
Last.Ross N. Hoffman (Cooperative Institute for Marine and Atmospheric Studies)H-Index: 2
view all 10 authors...
AbstractThe simulation of observations—a critical Community Global Observing System Simulation Experiment (OSSE) Package (CGOP) component—is validated first by a comparison of error-free simulated observations for the first 24 h at the start of the nature run (NR) to the real observations for those sensors that operated during that period. Sample results of this validation are presented here for existing low-Earth-orbiting (LEO) infrared (IR) and microwave (MW) brightness temperature (BT) observ...
2 CitationsSource
#1Francis D. Lagor (UMD: University of Maryland, College Park)H-Index: 4
#2Kayo Ide (UMD: University of Maryland, College Park)H-Index: 29
Last.Derek A. Paley (UMD: University of Maryland, College Park)H-Index: 25
view all 3 authors...
Observability-based path planning of autonomous sampling platforms for flow estimation is a technique by which candidate trajectories are evaluated based on their ability to enhance the observability of underlying flow-field parameters. Until now, observability-based path planning has focused primarily on forward-in-time integration. We present a novel approach that makes use of the background error covariance at the current time to account properly for uncertainty of the underlying flow. The re...
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AbstractA modular extensible framework for conducting observing system simulation experiments (OSSEs) has been developed with the goals of 1) supporting decision-makers with quantitative assessments of proposed observing systems investments, 2) supporting readiness for new sensors, 3) enhancing collaboration across the community by making the most up-to-date OSSE components accessible, and 4) advancing the theory and practical application of OSSEs. This first implementation, the Community Global...
2 CitationsSource
#1Francis D. Lagor (UMD: University of Maryland, College Park)H-Index: 4
#2Amy Davis (Covenant College)H-Index: 1
Last.Derek A. Paley (UMD: University of Maryland, College Park)H-Index: 25
view all 4 authors...
This paper considers the closed-loop navigation of a hypothetical ocean-sampling vehicle in the presence of an idealized ocean-eddy pair. This problem embodies many of the challenges of spatiotemporal ocean sampling using minimally actuated Lagrangian sensors. We extend our existing guidance strategy known as the Boundary-Touring Algorithm (BTA) to steer a self-propelled vehicle to a unique streamline in a two-vortex flow. The Gaussian Mixture Kalman Filter (GMKF) provides non-Gaussian state est...
1 CitationsSource
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