James A. Jung

867 total citations
31 papers, 705 citations indexed

About

James A. Jung is a scholar working on Atmospheric Science, Global and Planetary Change and Oceanography. According to data from OpenAlex, James A. Jung has authored 31 papers receiving a total of 705 indexed citations (citations by other indexed papers that have themselves been cited), including 28 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 6 papers in Oceanography. Recurrent topics in James A. Jung's work include Meteorological Phenomena and Simulations (26 papers), Climate variability and models (17 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). James A. Jung is often cited by papers focused on Meteorological Phenomena and Simulations (26 papers), Climate variability and models (17 papers) and Atmospheric and Environmental Gas Dynamics (15 papers). James A. Jung collaborates with scholars based in United States, Australia and United Kingdom. James A. Jung's co-authors include R. Treadon, Tom H. Zapotocny, John F. Marshall, John Derber, W. Paul Menzel, James P. Nelson, John Marshall, Joanna Joiner, Stephen J. Lord and Andrew Collard and has published in prestigious journals such as IEEE Transactions on Geoscience and Remote Sensing, Monthly Weather Review and Bulletin of the American Meteorological Society.

In The Last Decade

James A. Jung

28 papers receiving 683 citations

Peers

James A. Jung

GPC

OCEAN

Zhengkun Qin China

Cristina Lupu United Kingdom

Andrew Collard United States

Masahiro Kazumori Japan

C. Gaffard United Kingdom

Thomas J. Kleespies United States

Kevin Garrett United States

Philippe Chambon France

Damian R. Wilson United Kingdom

Timothy J. Wagner United States

Zhengkun Qin China

James A. Jung

696 ×1.1

548 ×0.9

GPC

65 ×0.7

OCEAN

35 ×0.6

89 ×1.6

Citations per year, relative to James A. Jung James A. Jung (= 1×) peers Zhengkun Qin

Countries citing papers authored by James A. Jung

Since Specialization

Citations

This map shows the geographic impact of James A. Jung's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by James A. Jung with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites James A. Jung more than expected).

Fields of papers citing papers by James A. Jung

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by James A. Jung. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by James A. Jung. The network helps show where James A. Jung may publish in the future.

Co-authorship network of co-authors of James A. Jung

This figure shows the co-authorship network connecting the top 25 collaborators of James A. Jung. A scholar is included among the top collaborators of James A. Jung based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with James A. Jung. James A. Jung is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

Li, Zhenglong, et al.. (2025). Exploration of the use of short‐wave infrared radiances in weather forecasts: Part I. Methodologies for bias correction and quality control. Quarterly Journal of the Royal Meteorological Society. 151(772).

Li, Zhenglong, et al.. (2025). Assimilation of radiance tendency observations from geostationary satellites in NCEP 's Global Forecast System. Quarterly Journal of the Royal Meteorological Society. 151(773).

Nalli, Nicholas R., James A. Jung, Robert O. Knuteson, et al.. (2023). Reducing Biases in Thermal Infrared Surface Radiance Calculations Over Global Oceans. IEEE Transactions on Geoscience and Remote Sensing. 61. 1–18. 3 indexed citations

Nalli, Nicholas R., Cheng Dang, James A. Jung, et al.. (2023). Physically Based Thermal Infrared Snow/Ice Surface Emissivity for Fast Radiative Transfer Models. Remote Sensing. 15(23). 5509–5509. 2 indexed citations

Li, Zhenglong, Pei Wang, Jun Li, et al.. (2022). An Objective Quality Control of Surface Contamination Observations for ABI Water Vapor Radiance Assimilation. Journal of Geophysical Research Atmospheres. 127(15). 2 indexed citations

Jung, James A., Jaime Daniels, Andrew Bailey, et al.. (2022). Optimizing the Assimilation of the GOES-16/-17 Atmospheric Motion Vectors in the Hurricane Weather Forecasting (HWRF) Model. Remote Sensing. 14(13). 3068–3068. 7 indexed citations

Li, Zhenglong, W. Paul Menzel, James A. Jung, et al.. (2020). Improving the Understanding of CrIS Full Spectral Resolution Nonlocal Thermodynamic Equilibrium Radiances Using Spectral Correlation. Journal of Geophysical Research Atmospheres. 125(16). 6 indexed citations

Jung, James A.. (2018). Preparing for CrIS Full Spectral Resolution Radiances in the NCEP Global Forecast System. 4 indexed citations

Jung, James A., et al.. (2014). Assimilation of clear sky Atmospheric Infrared Sounder radiances in short-term regional forecasts using community models. Journal of Applied Remote Sensing. 8(1). 83655–83655. 14 indexed citations

10.

Zhu, Yanqiu, John Derber, Andrew Collard, et al.. (2014). Variational Bias Correction in the NCEP's Data Assimilation System. 2 indexed citations

11.

Zhu, Yanqiu, John Derber, Andrew Collard, et al.. (2013). Enhanced radiance bias correction in the National Centers for Environmental Prediction's Gridpoint Statistical Interpolation data assimilation system. Quarterly Journal of the Royal Meteorological Society. 140(682). 1479–1492. 105 indexed citations

12.

Marshall, John, et al.. (2013). The considerable impact of earth observations from space on numerical weather prediction. 63(4). 497–500. 2 indexed citations

13.

Bi, Li, James A. Jung, Michael C. Morgan, & John F. Marshall. (2011). Assessment of Assimilating ASCAT Surface Wind Retrievals in the NCEP Global Data Assimilation System. Monthly Weather Review. 139(11). 3405–3421. 21 indexed citations

14.

Bi, Li, James A. Jung, Michael C. Morgan, & John F. Marshall. (2010). A Two-Season Impact Study of the WindSat Surface Wind Retrievals in the NCEP Global Data Assimilation System. Weather and Forecasting. 25(3). 931–949. 4 indexed citations

15.

Marshall, John, James A. Jung, L. Riishojgaard, et al.. (2009). Satellite Data Assimilation. 1 indexed citations

16.

Jung, James A., Tom H. Zapotocny, John F. Marshall, & R. Treadon. (2008). A Two-Season Impact Study of NOAA Polar-Orbiting Satellites in the NCEP Global Data Assimilation System. Weather and Forecasting. 23(5). 854–877. 14 indexed citations

17.

Zapotocny, Tom H., James A. Jung, John F. Marshall, & R. Treadon. (2007). A Two-Season Impact Study of Satellite and In Situ Data in the NCEP Global Data Assimilation System. Weather and Forecasting. 22(4). 887–909. 64 indexed citations

18.

Zapotocny, Tom H., W. Paul Menzel, James A. Jung, & James P. Nelson. (2005). A Four-Season Impact Study of Rawinsonde, GOES, and POES Data in the Eta Data Assimilation System. Part II: Contribution of the Components. Weather and Forecasting. 20(2). 178–198. 22 indexed citations

19.

Jung, James A.. (1990). Preliminary Field Experiments of Snomax(TM) on Cumulus Mediocris Clouds to Artificially Induce the Production of Ice Particles. The Journal of Weather Modification. 22(1). 153–157. 1 indexed citations

20.

Boe, Bruce A. & James A. Jung. (1990). The Application of Geostationary Satellite Imagery for Decision-Making in Convective Cloud Seeding in North Dakota. The Journal of Weather Modification. 22(1). 73–78. 4 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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