{"id":38,"date":"2020-09-04T21:24:26","date_gmt":"2020-09-04T21:24:26","guid":{"rendered":"https:\/\/nike.atmos.ucla.edu\/henry\/?page_id=38"},"modified":"2025-12-29T19:11:44","modified_gmt":"2025-12-29T19:11:44","slug":"research","status":"publish","type":"page","link":"https:\/\/atmos.ucla.edu\/dkondras\/research\/","title":{"rendered":"Research"},"content":{"rendered":"\n

RESEARCH INTERESTS<\/strong><\/h3>\n\n\n\n

Data-driven Stochastic Modeling and Prediction for Earth and Space Sciences, Theory-Informed Machine Learning, Advanced Spectral Methods and Time Series Analysis,Nonlinear Dynamical Systems, Data Assimilation. <\/p>\n\n\n\n

Summary bibliometrics <\/strong>(December 2025)<\/p>\n\n\n\n

Web of Science: 53 indexed publications, h<\/em>-index = 27<\/p>\n\n\n\n

Curriculum Vitae<\/a><\/p>\n\n\n\n

\u2022 WoS Profile<\/a><\/p>\n\n\n\n

\u2022 ORCID<\/a><\/p>\n\n\n\n

Presentation at Kavli Institute for Theoretical Physics Program on “Machine Learning and the Physics of Climate<\/a>“<\/strong><\/p>\n\n\n\n

REAL-TIME CLIMATE PREDICTION<\/strong><\/h3>\n\n\n\n
    \n
  1. ARCTIC SEA ICE<\/a><\/li>\n\n\n\n
  2. ENSO<\/a><\/li>\n<\/ol>\n\n\n\n

    PROJECTS <\/strong><\/h3>\n\n\n\n
      \n
    1. \u2022NSF: Collaborative Research: GEM–Towards Developing Physics-informed Subgrid Models for Geospace MagnetoHydroDynamics (MHD) Simulations<\/a>, Lead PI, 2024-2026<\/li>\n\n\n\n
    2. \u2022NSF: Collaborative Research: Advancing predictive understanding of summertime Arctic sea ice cover<\/a>, Lead PI, 2025-2027<\/li>\n\n\n\n
    3. \u2022NSF: EAGER Machine Learning and Data Assimilation for Discovery of Generalized Fokker-Planck Equation for Radiation Belt Modeling<\/a>, PI, 2022 – 2024<\/li>\n\n\n\n
    4. \u2022NSFGEO-NERC: Multiscale Stochastic Modeling and Analysis of the Ocean Circulation<\/a>, Lead PI, 2017 – 2020<\/li>\n\n\n\n
    5. \u2022NSF: Collaborative Research: EaSM 2: Stochastic Simulation and Decadal Prediction of Large-Scale Climate<\/a>, Lead PI, 2013 – 2017<\/li>\n\n\n\n
    6. \u2022ONR-MURI: Extended-Range Environmental Prediction Using Low-Dimensional Stochastic-Dynamic Models: A Data-driven Approach<\/a>, co-PI, 2012 – 2017<\/li>\n\n\n\n
    7. \u2022UC: UCLA-LANL RADIATION BELTS REANALYSIS PROJECT<\/a>, co-I, 2009 – 2012<\/li>\n\n\n\n
    8. \u2022NSF: EAGER Direct Assimilation of Low-altitude Magnetic Perturbations in a Global Magnetosphere Model<\/a>, co-PI, 2013 – 2016<\/li>\n\n\n\n
    9. \u2022NSF: CLIMATE SENSITIVITY, STOCHASTIC MODELS AND GCM-EASM OPTIMIZATION<\/a>, co-PI,  2011 – 2014<\/li>\n\n\n\n
    10. \u2022NSF: GAP FILLING OF SOLAR WIND DATA BY SINGULAR SPECTRUM ANALYSIS<\/a>, PI, 2011-2013<\/li>\n<\/ol>\n\n\n\n

      SOFTWARE<\/strong><\/p>\n\n\n\n

      \u2022 DATA-ADAPTIVE DECOMPOSITION AND STOCHASTIC MODELING<\/a><\/p>\n\n\n\n

      \u2022 SINGULAR SPECTRUM ANALYSIS AND SSA-MTM TOOLKIT <\/p>\n\n\n\n

      Users Guide<\/a><\/p>\n\n\n\n

      Download<\/a><\/p>\n\n\n\n

      <\/p>\n\n\n\n

      <\/p>\n","protected":false},"excerpt":{"rendered":"

      RESEARCH INTERESTS Data-driven Stochastic Modeling and Prediction for Earth and Space Sciences, Theory-Informed Machine Learning, Advanced Spectral Methods and Time Series Analysis,Nonlinear Dynamical Systems, Data Assimilation.  Summary bibliometrics (December 2025) Web of Science: 53 indexed publications, h-index = 27 Curriculum Vitae \u2022 WoS Profile \u2022 ORCID Presentation at Kavli Institute for Theoretical Physics Program on “Machine Learning and the Physics of Climate“…<\/p>\n","protected":false},"author":3,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":"[]"},"class_list":["post-38","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/pages\/38","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/users\/3"}],"replies":[{"embeddable":true,"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/comments?post=38"}],"version-history":[{"count":14,"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/pages\/38\/revisions"}],"predecessor-version":[{"id":472,"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/pages\/38\/revisions\/472"}],"wp:attachment":[{"href":"https:\/\/atmos.ucla.edu\/dkondras\/wp-json\/wp\/v2\/media?parent=38"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}