Daryl Kleist

7.7k total citations · 1 hit paper
30 papers, 1.6k citations indexed

About

Daryl Kleist is a scholar working on Atmospheric Science, Global and Planetary Change and Environmental Engineering. According to data from OpenAlex, Daryl Kleist has authored 30 papers receiving a total of 1.6k indexed citations (citations by other indexed papers that have themselves been cited), including 27 papers in Atmospheric Science, 25 papers in Global and Planetary Change and 4 papers in Environmental Engineering. Recurrent topics in Daryl Kleist's work include Meteorological Phenomena and Simulations (24 papers), Climate variability and models (22 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Daryl Kleist is often cited by papers focused on Meteorological Phenomena and Simulations (24 papers), Climate variability and models (22 papers) and Atmospheric and Environmental Gas Dynamics (10 papers). Daryl Kleist collaborates with scholars based in United States, United Kingdom and Japan. Daryl Kleist's co-authors include David Parrish, Kayo Ide, John Derber, R. Treadon, Jeffrey S. Whitaker, Stephen J. Lord, Wan-Shu Wu, Xuguang Wang, Michael C. Morgan and Thomas M. Hamill and has published in prestigious journals such as Journal of Geophysical Research Atmospheres, Geophysical Research Letters and Monthly Weather Review.

In The Last Decade

Daryl Kleist

27 papers receiving 1.6k citations

Hit Papers

align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

Introduction of the GSI into the NCEP Global Data Assimilation System

2009 473 citations Daryl Kleist, David Parrish et al. Weather and Forecasting profile →

Peers

Daryl Kleist

GPC

OCEAN

R. Treadon United States

Zhengzhao Luo United States

Kevin R. Knupp United States

Sun Wong United States

Brad S. Ferrier United States

Teddie L. Keller United States

Sabine Grießbach Germany

G. Günther Germany

Lena Iredell United States

Basivi Radhakrishna India

R. Treadon United States

Daryl Kleist

1.3k ×0.9

1.2k ×0.9

GPC

155 ×0.9

194 ×1.1

OCEAN

112 ×1.1

Citations per year, relative to Daryl Kleist Daryl Kleist (= 1×) peers R. Treadon

Countries citing papers authored by Daryl Kleist

Since Specialization

Citations

This map shows the geographic impact of Daryl Kleist'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 Daryl Kleist with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Daryl Kleist more than expected).

Fields of papers citing papers by Daryl Kleist

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Daryl Kleist. 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 Daryl Kleist. The network helps show where Daryl Kleist may publish in the future.

Co-authorship network of co-authors of Daryl Kleist

This figure shows the co-authorship network connecting the top 25 collaborators of Daryl Kleist. A scholar is included among the top collaborators of Daryl Kleist 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 Daryl Kleist. Daryl Kleist 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

Bennett, James, Erin Dougherty, Vincent Fortin, et al.. (2025). Integrating Prediction of Precipitation and Hydrology for Early Actions: The InPRHA Project within the World Weather Research Programme. Bulletin of the American Meteorological Society. 106(7). E1303–E1318.

Carley, Jacob R., Ting Lei, Shun Liu, et al.. (2024). Scale‐ and Variable‐Dependent Localization for 3DEnVar Data Assimilation in the Rapid Refresh Forecast System. Journal of Advances in Modeling Earth Systems. 16(11).

Frolov, Sergey, et al.. (2024). Integration of Emerging Data-Driven Models into the NOAA Research-to-Operations Pipeline for Numerical Weather Prediction. Bulletin of the American Meteorological Society. 106(2). E430–E437. 1 indexed citations

Liu, Ling, Avichal Mehra, Daryl Kleist, et al.. (2023). Impact of Assimilating Satellite and Glider Observations on Hurricane Isaias (2020) Forecast Using Marine JEDI. Weather and Forecasting. 38(9). 1807–1826. 1 indexed citations

Pagowski, Mariusz, Samuel Trahan, Cory Martin, et al.. (2023). JEDI‐Based Three‐Dimensional Ensemble‐Variational Data Assimilation System for Global Aerosol Forecasting at NCEP. Journal of Advances in Modeling Earth Systems. 15(4). 5 indexed citations

Moradi, Isaac, Benjamin T. Johnson, Vasileios Barlakas, et al.. (2022). Implementation of a Discrete Dipole Approximation Scattering Database Into Community Radiative Transfer Model. Journal of Geophysical Research Atmospheres. 127(24). 12 indexed citations

Keller, Jan D., Daryl Kleist, Stephen English, et al.. (2022). Current Challenges and Future Directions in Data Assimilation and Reanalysis. Bulletin of the American Meteorological Society. 104(4). E756–E767. 13 indexed citations

Sippel, Jason A., et al.. (2022). Impacts of Assimilating Additional Reconnaissance Data on Operational GFS Tropical Cyclone Forecasts. Weather and Forecasting. 37(9). 1615–1639. 13 indexed citations

Xue, Yan, D. Koch, Vijay Tallapragada, et al.. (2021). Development of a Coupled Subseasonal-to-Seasonal Prediction Model Using Community-based Unified Forecast System for NCEP Operations. 2 indexed citations

10.

Ingleby, Bruce, Brett Candy, J. R. Eyre, et al.. (2020). The Impact of COVID‐19 on Weather Forecasts: A Balanced View. Geophysical Research Letters. 48(4). e2020GL090699–e2020GL090699. 14 indexed citations

11.

Carley, Jacob R., et al.. (2019). Improvements to the Assimilation of Doppler Radial Winds for Convection-Permitting Forecasts of a Heavy Rain Event. Monthly Weather Review. 147(10). 3609–3632. 9 indexed citations

12.

Shafer, Mark, Cecilia M. Bitz, Andy Brown, et al.. (2015). Developing a U.S. Research Agenda to Advance Subseasonal to Seasonal Forecasting. AGU Fall Meeting Abstracts. 2015. 1 indexed citations

13.

Matsuo, Tomoko, T. J. Fuller‐Rowell, R. A. Akmaev, et al.. (2014). Predictability and Ensemble Modeling of the Space-Atmosphere Interaction Region. 2014 AGU Fall Meeting. 2014.

14.

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

15.

Kleist, Daryl & Kayo Ide. (2014). An OSSE-Based Evaluation of Hybrid Variational–Ensemble Data Assimilation for the NCEP GFS. Part I: System Description and 3D-Hybrid Results. Monthly Weather Review. 143(2). 433–451. 134 indexed citations

16.

Hamill, Thomas M., Jeffrey S. Whitaker, Daryl Kleist, Michael Fiorino, & Stanley G. Benjamin. (2011). Predictions of 2010’s Tropical Cyclones Using the GFS and Ensemble-Based Data Assimilation Methods. Monthly Weather Review. 139(10). 3243–3247. 81 indexed citations

17.

Kleist, Daryl, David Parrish, John Derber, et al.. (2009). Introduction of the GSI into the NCEP Global Data Assimilation System. Weather and Forecasting. 24(6). 1691–1705. 473 indexed citations breakdown →

18.

Kleist, Daryl, David Parrish, John Derber, et al.. (2008). Improving Incremental Balance in the GSI 3DVAR Analysis System. Monthly Weather Review. 137(3). 1046–1060. 92 indexed citations

19.

Kleist, Daryl & Michael C. Morgan. (2005). Application of Adjoint-Derived Forecast Sensitivities to the 24–25 January 2000 U.S. East Coast Snowstorm. Monthly Weather Review. 133(11). 3148–3175. 23 indexed citations

20.

Kleist, Daryl & Michael C. Morgan. (2005). Interpretation of the Structure and Evolution of Adjoint-Derived Forecast Sensitivity Gradients. Monthly Weather Review. 133(2). 466–484. 29 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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