Article
Geochemistry & Geophysics
Vinay Ravindra, Sreeja Nag, Alan Li
Summary: The article proposes an ensemble-guided cyclone track forecasting method for remote tropical cyclone tracking, utilizing data from numerical weather prediction models and measured cyclone center positions. Testing showed positive forecast skill over periods ranging from 6 to 48 hours, with skill improving as forecast periods lengthened.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Geosciences, Multidisciplinary
Nicolas Reul, Bertrand Chapron, Semyon A. Grodsky, Sebastien Guimbard, Vladimir Kudryavtsev, Gregory R. Foltz, Karthik Balaguru
Summary: Decade-long satellite observations show that different intensities and moving speeds of tropical cyclones result in varying sea surface salinity changes on their left and right sides, with the most intense storms causing salinification and being influenced by the vertical salinity gradient in the upper ocean and barrier layers.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Yumin Moon, Daehyun Kim, Allison A. Wing, Suzana J. Camargo, Ming Zhao, L. Ruby Leung, Malcolm J. Roberts, Dong-Hyun Cha, Jihong Moon
Summary: This study evaluates the performance of a global climate model in simulating tropical cyclone rainfall structures. The results show that the model tends to overproduce rainfall around cyclones compared to satellite observations, both in terms of maximum rainfall intensity and average rainfall rates. Increasing the model's horizontal resolution leads to higher peak rainfall intensity but lower average rainfall rates. Ocean coupling reduces rainfall rates by affecting moisture flux convergence and surface latent heat flux. The model is able to reproduce the rainfall asymmetries induced by vertical wind shear in observed cyclones. Additionally, there is a positive relationship between the average inner-core rainfall and the likelihood of cyclone intensification, consistent with previous studies.
JOURNAL OF CLIMATE
(2022)
Article
Environmental Sciences
Yanyang Hu, Xiaolei Zou
Summary: The study demonstrates that utilizing brightness temperature information from satellite observations can accurately determine the center of tropical cyclones, providing strong support for hurricane forecasting. Performance analysis of the TC center-fixing algorithm in the 2012 Atlantic hurricanes validates that the accuracy of the algorithm may decrease when the brightness temperature distribution within the TC is significantly asymmetric.
Review
Computer Science, Artificial Intelligence
Sin Liang Lim, Jaya Sreevalsan-Nair, B. S. Daya Sagar
Summary: This article provides a brief overview of various aspects of data mining of multi spectral image data, with a focus on remote sensing satellite images acquired using multispectral imaging. It reviews different data mining processes, state-of-the-art methods, and applications. The article also emphasizes the importance of understanding data acquisition and preprocessing, and concludes with applications demonstrating knowledge discovery, challenges, and future directions for MSI data mining research.
WILEY INTERDISCIPLINARY REVIEWS-DATA MINING AND KNOWLEDGE DISCOVERY
(2023)
Article
Engineering, Ocean
Chong Wang, Xiaofeng Li
Summary: In this paper, a data-driven transfer learning model is developed for locating tropical cyclone centers from satellite infrared images. By using a large amount of TC images and transfer learning techniques, the model achieves improved accuracy and performance. Furthermore, the model accurately extracts important features related to TC center location.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2023)
Article
Geochemistry & Geophysics
Francisco J. Tapiador, Andres Navarro, Raul Martin, Svetla Hristova-Veleva, Ziad S. Haddad
Summary: This article presents a new method for analyzing the potential for rapid intensity change in tropical cyclones using satellite observations and a neural network model. The study finds that the columnar water condensate in the extended environment plays a crucial role in understanding the rapid intensification process. These findings have important implications for improving hurricane forecasting models.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Maria Yurovskaya, Vladimir Kudryavtsev, Alexey Mironov, Alexis Mouche, Fabrice Collard, Bertrand Chapron
Summary: Utilizing multi-satellite observations and parametric models, this study examines tropical cyclone events in the Philippine Sea by reconstructing wind fields and obtaining wave height measurements, showcasing the precise analysis of surface wind and wave properties in TC events.
Article
Geochemistry & Geophysics
Chong Wang, Gang Zheng, Xiaofeng Li, Qing Xu, Bin Liu, Jun Zhang
Summary: In this study, a set of deep convolutional neural networks (CNNs) were designed to estimate the intensity of tropical cyclones (TCs) over the Northwest Pacific Ocean from satellite data. The study showed that the selection of different infrared (IR) channels had a significant impact on the performance of the TC intensity estimate. The CNN models demonstrated good accuracy and stability in estimating TC intensity.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Aerospace
S. Ponce de Leon, J. H. Bettencourt
Summary: This paper studies the significant wave height distribution of extratropical cyclones in the North Atlantic Ocean, finding that higher waves are mainly found in the southeastern quadrant of the cyclone and peak during the 48-hour period of maximum cyclone strength. The strongest cyclones tend to have higher waves over most of the eastern half due to their northward propagation tendency.
ADVANCES IN SPACE RESEARCH
(2021)
Article
Meteorology & Atmospheric Sciences
Galina Chirokova, John a. Knaff, Michael j. Brennan, Robert t. Demaria, Monica Bozeman, Stephanie n. Stevenson, John l. Beven, Eric s. Blake, Alan Brammer, James w. Darlow, Mark Demaria, Steven d. Miller, Christopher j. Slocum, Debra Molenar, Donald w. Hillger
Summary: This paper describes ProxyVis imagery, a new method for combining infrared channels to qualitatively mimic daytime visible imagery at nighttime. ProxyVis demonstrates that a simple linear regression can combine just a few commonly available infrared channels to develop a nighttime proxy for visible imagery that significantly improves a forecaster's ability to track low-level oceanic clouds and circulation features at night, works for all current geostationary satellites, and is useful across a wide range of backgrounds and meteorological scenarios. Animated ProxyVis geostationary imagery has been operational at the National Hurricane Center since 2019 and is also currently being transitioned to operations at other NWS offices and the Joint Typhoon Warning Center.
WEATHER AND FORECASTING
(2023)
Article
Environmental Sciences
Usman Mazhar, Shuanggen Jin, Wentao Duan, Muhammad Bilal, Md. Arfan Ali, Hasnain Farooq
Summary: Being the highest and largest land mass of the earth, the Tibetan Plateau has a strong impact on the Asian climate especially the Asian monsoon. This paper used satellite remote sensing and reanalysis data to analyze energy budget parameters over the Tibetan Plateau from 2001 to 2019, finding trends in net radiation, latent heat flux, and sensible heat flux. The study revealed that the net radiation showed a slight increase, while the latent heat flux increased continuously and the sensible heat flux decreased continuously over the study period.
Article
Meteorology & Atmospheric Sciences
Chong Wang, Xiaofeng Li
Summary: This article developed a deep learning model to estimate tropical cyclone wind radii from infrared images in the global ocean. The model was trained, validated, and tested using 63,675 TC images from 2004 to 2016. With modified loss functions, the model achieved significant improvement compared to existing methods, with MAEs ranging from 8.7 to 19.5 n mi. The interpretation of the DL-based models highlighted the impact of TC eye, cloud, and spiral structure on model performance.
MONTHLY WEATHER REVIEW
(2023)
Article
Meteorology & Atmospheric Sciences
Laura Cagigal, Fernando J. Mendez, Sara O. van Vloten, Ana Rueda, Giovanni Coco
Summary: This paper proposes a new empirical model that utilizes remote sensing observational data to estimate the wind wave footprint of tropical cyclones. By constructing a dataset with a large amount of satellite observations and defining a composite of significant wave height associated with the characteristics of the cyclone's track, the model can provide rapid estimation of wave footprints.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Brian Howell, Sean Egan, Caitlin Fine
Summary: This paper discusses the utilization of new space-based environmental monitoring data by the Joint Typhoon Warning Center in adjusting tropical cyclone intensity and structure estimates. It highlights the impact of these new data on the final intensity estimates and real-time analysis.
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2022)
Article
Meteorology & Atmospheric Sciences
Christopher C. Hennon, Kenneth R. Knapp, Carl J. Schreck, Scott E. Stevens, James P. Kossin, Peter W. Thorne, Paula A. Hennon, Michael C. Kruk, Jared Rennie, Jean-Maurice Gadea, Maximilian Striegl, Ian Carley
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2015)
Article
Engineering, Environmental
Christopher D. Holmes, Nishanth P. Krishnamurthy, Jane M. Caffrey, William M. Landing, Eric S. Edgerton, Kenneth R. Knapp, Udaysankar S. Nair
ENVIRONMENTAL SCIENCE & TECHNOLOGY
(2016)
Article
Meteorology & Atmospheric Sciences
Kenneth R. Knapp, Jessica L. Matthews, James P. Kossin, Christopher C. Hennon
MONTHLY WEATHER REVIEW
(2016)
Review
Environmental Sciences
Wenze Yang, Viju O. John, Xuepeng Zhao, Hui Lu, Kenneth R. Knapp
Article
Meteorology & Atmospheric Sciences
Kenneth R. Knapp, Christopher S. Velden, Anthony J. Wimmers
MONTHLY WEATHER REVIEW
(2018)
Article
Environmental Sciences
Carl J. Schreck, Hai-Tien Lee, Kenneth R. Knapp
Article
Geosciences, Multidisciplinary
Christopher M. Taylor, Andreas H. Fink, Cornelia Klein, Douglas J. Parker, Francoise Guichard, Philip P. Harris, Kenneth R. Knapp
GEOPHYSICAL RESEARCH LETTERS
(2018)
Article
Meteorology & Atmospheric Sciences
Chris Funk, Pete Peterson, Seth Peterson, Shraddhanand Shukla, Frank Davenport, Joel Michaelsen, Kenneth R. Knapp, Martin Landsfeld, Gregory Husak, Laura Harrison, James Rowland, Michael Budde, Alex Meiburg, Tufa Dinku, Diego Pedreros, Nicholas Mata
JOURNAL OF CLIMATE
(2019)
Article
Meteorology & Atmospheric Sciences
Philip J. Klotzbach, Michael M. Bell, Steven G. Bowen, Ethan J. Gibney, Kenneth R. Knapp, Carl J. Schreck
BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY
(2020)
Article
Engineering, Ocean
Kenneth R. Knapp, Alisa H. Young, Hilawe Semunegus, Anand K. Inamdar, William Hankins
Summary: The International Satellite Cloud Climatology Project (ISCCP) started collecting data in the 1980s to understand cloud distribution; a simple modification to the cloud detection algorithm can greatly increase consistency in cloud estimates among different satellites, leading to more consistent spatial and temporal data.
JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
William B. Rossow, Kenneth R. Knapp, Alisa H. Young
Summary: This paper summarizes the assessments and refinements of ISCCP's revised version on global cloud properties, including the quantification, analysis, and product design. The results show a slight increase in global cloud amount, with slightly more high clouds and slightly less middle and low clouds. ENSO events exhibit different patterns in high cloud variations, while low clouds remain unaffected.
JOURNAL OF CLIMATE
(2022)
Article
Environmental Sciences
Andrew K. Heidinger, Michael J. Foster, Kenneth R. Knapp, Timothy J. Schmit
Summary: The study used data from the ABI on GOES-16 and GOES-17 to calibrate the visible channels on past geostationary imagers. A new calibration method was developed based on the stability of the integrated full-disk reflectance, offering a simple and complementary approach to existing calibration techniques.
Correction
Multidisciplinary Sciences
James P. Kossin, Kenneth R. Knapp, Timothy L. Olander, Christopher S. Velden
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
(2020)
Article
Geosciences, Multidisciplinary
Kenneth R. Knapp, Scott L. Wilkins
EARTH SYSTEM SCIENCE DATA
(2018)
Review
Geosciences, Multidisciplinary
Alisa H. Young, Kenneth R. Knapp, Anand Inamdar, William Hankins, William B. Rossow
EARTH SYSTEM SCIENCE DATA
(2018)