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614 results on '"Robertson, Andrew W."'

3. Index

Author

Pasley, Jeffrey L., Robertson, Andrew W., and Waldstreicher, David

Published
2004

10. Contributors

Author

Pasley, Jeffrey L., Robertson, Andrew W., and Waldstreicher, David

Published
2004

19. Contents, Illustrations

Author

Pasley, Jeffrey L., Robertson, Andrew W., and Waldstreicher, David

Published
2004

23. Acknowledgments

Author

Pasley, Jeffrey L., Robertson, Andrew W., and Waldstreicher, David

Published
2004

25. Title Page, Copyright

Author

Pasley, Jeffrey L., Robertson, Andrew W., and Waldstreicher, David

Published
2004

29. Advances in Subseasonal to Seasonal Prediction Relevant to Water Management in the Western United States

Author

Sengupta, Agniv, Singh, Bohar, DeFlorio, Michael J, Raymond, Colin, Robertson, Andrew W, Zeng, Xubin, Waliser, Duane E, and Jones, Jeanine

Subjects
Forecasting, Seasonal variability, Subseasonal variability, Communications, decision making, Decision support, Water resources, Astronomical and Space Sciences, Atmospheric Sciences, Physical Geography and Environmental Geoscience, Meteorology & Atmospheric Sciences
Abstract

Virtual Workshop on Subseasonal to Seasonal Climate Forecasting for Water Management in the Western U.S. What: Scientists and stakeholders came together to discuss forecast priorities for western U.S. water resource management and to review existing and emerging methodologies that can improve prediction of precipitation, circulation regimes, and atmospheric rivers at lead times of weeks to months. When: 15–17 March 2022 Where: Online, hosted by IRI, Columbia Climate School

Published
2022

31. Concanamycin A counteracts HIV-1 Nef to enhance immune clearance of infected primary cells by cytotoxic T lymphocytes

Author

Painter, Mark M, Zimmerman, Gretchen E, Merlino, Madeline S, Robertson, Andrew W, Terry, Valeri H, Ren, Xuefeng, McLeod, Megan R, Gomez-Rodriguez, Lyanne, Garcia, Kirsten A, Leonard, Jolie A, Leopold, Kay E, Neevel, Andrew J, Lubow, Jay, Olson, Eli, Piechocka-Trocha, Alicja, Collins, David R, Tripathi, Ashootosh, Raghavan, Malini, Walker, Bruce D, Hurley, James H, Sherman, David H, and Collins, Kathleen L

Subjects
Medical Microbiology, Biomedical and Clinical Sciences, Immunology, HIV/AIDS, Infectious Diseases, Aetiology, 2.1 Biological and endogenous factors, Infection, Inflammatory and immune system, Good Health and Well Being, Cells, Cultured, HIV Infections, HIV-1, Histocompatibility Antigens Class I, Host-Pathogen Interactions, Humans, Macrolides, T-Lymphocytes, Cytotoxic, nef Gene Products, Human Immunodeficiency Virus, HIV, MHC-I, Nef, cytotoxic T lymphocytes, concanamycin A
Abstract

Nef is an HIV-encoded accessory protein that enhances pathogenicity by down-regulating major histocompatibility class I (MHC-I) expression to evade killing by cytotoxic T lymphocytes (CTLs). A potent Nef inhibitor that restores MHC-I is needed to promote immune-mediated clearance of HIV-infected cells. We discovered that the plecomacrolide family of natural products restored MHC-I to the surface of Nef-expressing primary cells with variable potency. Concanamycin A (CMA) counteracted Nef at subnanomolar concentrations that did not interfere with lysosomal acidification or degradation and were nontoxic in primary cell cultures. CMA specifically reversed Nef-mediated down-regulation of MHC-I, but not CD4, and cells treated with CMA showed reduced formation of the Nef:MHC-I:AP-1 complex required for MHC-I down-regulation. CMA restored expression of diverse allotypes of MHC-I in Nef-expressing cells and inhibited Nef alleles from divergent clades of HIV and simian immunodeficiency virus, including from primary patient isolates. Lastly, we found that restoration of MHC-I in HIV-infected cells was accompanied by enhanced CTL-mediated clearance of infected cells comparable to genetic deletion of Nef. Thus, we propose CMA as a lead compound for therapeutic inhibition of Nef to enhance immune-mediated clearance of HIV-infected cells.

Published
2020

33. Bayesian Non-Homogeneous Markov Models via Polya-Gamma Data Augmentation with Applications to Rainfall Modeling

Author

Holsclaw, Tracy, Greene, Arthur M., Robertson, Andrew W., and Smyth, Padhraic

Subjects
Statistics - Applications, Statistics - Machine Learning
Abstract

Discrete-time hidden Markov models are a broadly useful class of latent-variable models with applications in areas such as speech recognition, bioinformatics, and climate data analysis. It is common in practice to introduce temporal non-homogeneity into such models by making the transition probabilities dependent on time-varying exogenous input variables via a multinomial logistic parametrization. We extend such models to introduce additional non-homogeneity into the emission distribution using a generalized linear model (GLM), with data augmentation for sampling-based inference. However, the presence of the logistic function in the state transition model significantly complicates parameter inference for the overall model, particularly in a Bayesian context. To address this we extend the recently-proposed Polya-Gamma data augmentation approach to handle non-homogeneous hidden Markov models (NHMMs), allowing the development of an efficient Markov chain Monte Carlo (MCMC) sampling scheme. We apply our model and inference scheme to 30 years of daily rainfall in India, leading to a number of insights into rainfall-related phenomena in the region. Our proposed approach allows for fully Bayesian analysis of relatively complex NHMMs on a scale that was not possible with previous methods. Software implementing the methods described in the paper is available via the R package NHMM., Comment: 40 pages, 26 figures

Published
2017

35. From California’s Extreme Drought to Major Flooding: Evaluating and Synthesizing Experimental Seasonal and Subseasonal Forecasts of Landfalling Atmospheric Rivers and Extreme Precipitation during Winter 2022/23

Author

DeFlorio, Michael J., primary, Sengupta, Agniv, additional, Castellano, Christopher M., additional, Wang, Jiabao, additional, Zhang, Zhenhai, additional, Gershunov, Alexander, additional, Guirguis, Kristen, additional, Luna Niño, Rosa, additional, Clemesha, Rachel E. S., additional, Pan, Ming, additional, Xiao, Mu, additional, Kawzenuk, Brian, additional, Gibson, Peter B., additional, Scheftic, William, additional, Broxton, Patrick D., additional, Switanek, Matthew B., additional, Yuan, Jing, additional, Dettinger, Michael D., additional, Hecht, Chad W., additional, Cayan, Daniel R., additional, Cornuelle, Bruce D., additional, Miller, Arthur J., additional, Kalansky, Julie, additional, Delle Monache, Luca, additional, Ralph, F. Martin, additional, Waliser, Duane E., additional, Robertson, Andrew W., additional, Zeng, Xubin, additional, DeWitt, David G., additional, Jones, Jeanine, additional, and Anderson, Michael L., additional

Published
2024
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36. Subseasonal to Decadal Prediction : Filling the Weather–Climate Gap

Author

Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A. S., Danabasoglu, Gokhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco J., Domeisen, Daniela I. V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfgang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takaya, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balmaseda, Magdalena A., Beraki, Asmerom F., Bhattacharjee, Partha S., Bilbao, Roberto, de Andrade, Felipe M., DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johnna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kirsten, McKay, Roseanna, Mecking, Jennifer V., Miller, Douglas E., Neddermann, Nele, Ng, Ching Ho Justin, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, and Yeager, Stephen

Published
2020

37. Forecasts of Opportunity : Opening Windows of Skill, Subseasonal and Beyond

Author

Mariotti, Annarita, Baggett, Cory, Barnes, Elizabeth A., Becker, Emily, Butler, Amy, Collins, Dan C., Dirmeyer, Paul A., Ferranti, Laura, Johnson, Nathaniel C., Jones, Jeanine, Kirtman, Ben P., Lang, Andrea L., Molod, Andrea, Newman, Matthew, Robertson, Andrew W., Schubert, Siegfried, Waliser, Duane E., and Albers, John

Published
2020

38. Current and Emerging Developments in Subseasonal to Decadal Prediction

Author

Merryfield, William J., Baehr, Johanna, Batté, Lauriane, Becker, Emily J., Butler, Amy H., Coelho, Caio A. S., Danabasoglu, Gokhan, Dirmeyer, Paul A., Doblas-Reyes, Francisco J., Domeisen, Daniela I. V., Ferranti, Laura, Ilynia, Tatiana, Kumar, Arun, Müller, Wolfgang A., Rixen, Michel, Robertson, Andrew W., Smith, Doug M., Takaya, Yuhei, Tuma, Matthias, Vitart, Frederic, White, Christopher J., Alvarez, Mariano S., Ardilouze, Constantin, Attard, Hannah, Baggett, Cory, Balmaseda, Magdalena A., Beraki, Asmerom F., Bhattacharjee, Partha S., Bilbao, Roberto, de Andrade, Felipe M., DeFlorio, Michael J., Díaz, Leandro B., Ehsan, Muhammad Azhar, Fragkoulidis, Georgios, Grainger, Sam, Green, Benjamin W., Hell, Momme C., Infanti, Johnna M., Isensee, Katharina, Kataoka, Takahito, Kirtman, Ben P., Klingaman, Nicholas P., Lee, June-Yi, Mayer, Kirsten, McKay, Roseanna, Mecking, Jennifer V., Miller, Douglas E., Neddermann, Nele, Ng, Ching Ho Justin, Ossó, Albert, Pankatz, Klaus, Peatman, Simon, Pegion, Kathy, Perlwitz, Judith, Recalde-Coronel, G. Cristina, Reintges, Annika, Renkl, Christoph, Solaraju-Murali, Balakrishnan, Spring, Aaron, Stan, Cristiana, Sun, Y. Qiang, Tozer, Carly R., Vigaud, Nicolas, Woolnough, Steven, and Yeager, Stephen

Published
2020

39. Windows of Opportunity for Skillful Forecasts Subseasonal to Seasonal and Beyond

Author

Mariotti, Annarita, Baggett, Cory, Barnes, Elizabeth A., Becker, Emily, Butler, Amy, Collins, Dan C., Dirmeyer, Paul A., Ferranti, Laura, Johnson, Nathaniel C., Jones, Jeanine, Kirtman, Ben P., Lang, Andrea L., Molod, Andrea, Newman, Matthew, Robertson, Andrew W., Schubert, Siegfried, Waliser, Duane E., and Albers, John

Published
2020

40. THE SUBSEASONAL EXPERIMENT (SubX) : A Multimodel Subseasonal Prediction Experiment

Author

Pegion, Kathy, Kirtman, Ben P., Becker, Emily, Collins, Dan C., LaJoie, Emerson, Burgman, Robert, Bell, Ray, DelSole, Timothy, Min, Dughong, Zhu, Yuejian, Li, Wei, Sinsky, Eric, Guan, Hong, Gottschalck, Jon, Metzger, E. Joseph, Barton, Neil P, Achuthavarier, Deepthi, Marshak, Jelena, Koster, Randal D., Lin, Hai, Gagnon, Normand, Bell, Michael, Tippett, Michael K., Robertson, Andrew W., Sun, Shan, Benjamin, Stanley G., Green, Benjamin W., Bleck, Rainer, and Kim, Hyemi

Published
2019

41. Interannual variability in North Atlantic weather: Data analysis and a quasi-geostrophic model

Author

Feliks, Yizhak, Robertson, Andrew W, and Ghil, Michael

Subjects
Atmospheric Sciences, Meteorology & Atmospheric Sciences
Abstract

This paper addresses the effect of interannual variability in jet stream orientation on weather systems over the North Atlantic basin (NAB). The observational analysis relies on 65 yr of NCEP-NCAR reanalysis (1948-2012). The total daily kinetic energy of the geostrophic wind (GTKE) is taken as a measure of storm activity over the North Atlantic. The NAB is partitioned into four rectangular regions, and the winter average of GTKE is calculated for each quadrant. The spatial GTKE average over all four quadrants shows striking year-to-year variability and is strongly correlated with the North Atlantic Oscillation (NAO). The GTKE strength in the northeast quadrant is closely related to the diffluence angle of the jet stream in the northwest quadrant. To gain insight into the relationship between the diffluence angle and its downstream impact, a quasigeostrophic baroclinic model is used. The results show that an initially zonal jet persists at its initial latitude over 30 days or longer, while a tilted jet propagates meridionally according to the Rossby wave group velocity, unless kept stationary by external forcing. A Gulf Stream-like narrow sea surface temperature (SST) front provides the requisite forcing for an analytical steady-state solution to this problem. This SST front influences the atmospheric jet in the northwest quadrant: It both strengthens the jet and tilts it northward at higher levels, while its effect is opposite at lower levels. Reanalysis data confirm these effects, which are consistent with thermal wind balance. The results suggest that the interannual variability found in the GTKE may be caused by intrinsic variability of the thermal Gulf Stream front.

Published
2016

42. Basin Interactions and Predictability

Author

Keenlyside, Noel, primary, Kosaka, Yu, additional, Vigaud, Nicolas, additional, Robertson, Andrew W., additional, Wang, Yiguo, additional, Dommenget, Dietmar, additional, Luo, Jing-Jia, additional, and Matei, Daniela, additional

Published
2020
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43. Structure–Activity Relationships of Natural and Semisynthetic Plecomacrolides Suggest Distinct Pathways for HIV‑1 Immune Evasion and Vacuolar ATPase-Dependent Lysosomal Acidification.

Author

McCauley, Morgan, Huston, Matthew, Condren, Alanna R., Pereira, Filipa, Cline, Joel, Yaple-Maresh, Marianne, Painter, Mark M., Zimmerman, Gretchen E., Robertson, Andrew W., Carney, Nolan, Goodall, Christopher, Terry, Valeri, Müller, Rolf, Sherman, David H., and Collins, Kathleen L.

Published
2024
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44. Oscillatory Climate Modes in the Indian Monsoon, North Atlantic, and Tropical Pacific

Author

Feliks, Yizhak, Groth, Andreas, Robertson, Andrew W, and Ghil, Michael

Subjects
Climate Action, Tropics, Nonlinear dynamics, Spectral analysis, models, distribution, Interannual variability, North Atlantic Oscillation, Southern Oscillation, Atmospheric Sciences, Oceanography, Geomatic Engineering, Meteorology & Atmospheric Sciences
Abstract

This paper explores the three-way interactions between the Indian monsoon, the North Atlantic, and the tropical Pacific. Four climate records were analyzed: the monsoon rainfall in two Indian regions, the Southern Oscillation index for the tropical Pacific, and the NAO index for the North Atlantic. The individual records exhibit highly significant oscillatory modes with spectral peaks at 7-8 yr and in the quasi-biennial and quasi-quadrennial bands. The interactions between the three regions were investigated in the light of the synchronization theory of chaotic oscillators. The theory was applied here by combining multichannel singular-spectrum analysis (M-SSA) with a recently introduced varimax rotation of the M-SSA eigenvectors. A key result is that the 7-8-yr and 2.7-yr oscillatory modes in all three regions are synchronized, at least in part. The energy-ratio analysis, as well as time-lag results, suggests that the NAO plays a leading role in the 7-8-yr mode. It was found therewith that the South Asian monsoon is not slaved to forcing from the equatorial Pacific, although it does interact strongly with it. The time-lag analysis pinpointed this to be the case in particular for the quasi-biennial oscillatory modes. Overall, these results confirm that the approach of synchronized oscillators, combined with varimax-rotated M-SSA, is a powerful tool in studying teleconnections between regional climate modes and that it helps identify the mechanisms that operate in various frequency bands. This approach should be readily applicable to ocean modes of variability and to the problems of air-sea interaction as well. © 2013 American Meteorological Society.

Published
2013

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