Jonathan A. Christophersen

ORCID: 0000-0003-3564-604X
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About
Contact & Profiles
Research Areas
  • Oceanographic and Atmospheric Processes
  • Climate variability and models
  • Marine and coastal ecosystems
  • Ocean Waves and Remote Sensing
  • Precipitation Measurement and Analysis
  • Meteorological Phenomena and Simulations
  • Tropical and Extratropical Cyclones Research
  • Marine and fisheries research

United States Naval Research Laboratory
2020-2023

Naval Research Laboratory Marine Meteorology Division
2023

National Academies of Sciences, Engineering, and Medicine
2020-2021

University of Miami
2018

Abstract Simultaneous temperature and salinity profile measurements are of extreme importance for research; operational oceanography; research applications that compute content transport mass, heat, freshwater in the ocean; determining water mass stratification mixing rates. Historically, profiles much more abundant than simultaneous profiles. Given concurrent profiles, several methods have been developed to derive solely based on observations, such as expendable bathythermograph (XBT)...

10.1175/jtech-d-18-0029.1 article EN other-oa Journal of Atmospheric and Oceanic Technology 2018-07-12

Abstract The meridional overturning circulation (MOC) is a major driver in global redistribution of heat, which modulates climate and weather. Altimeter sea surface height measurements situ hydrographic data are combined this work to derive monthly synthetic temperature salinity (T/S) profiles along zonal transbasin sections both the North (26.5°N) South (20°S, 25°S, 30°S, 35°S) Atlantic Ocean since 1993, then used estimate MOC heat transport (MHT). Consistent with previous studies, results...

10.1029/2020jc017073 article EN publisher-specific-oa Journal of Geophysical Research Oceans 2021-03-19

© 2023 American Meteorological Society. This published article is licensed under the terms of default AMS reuse license. For information regarding this content and general copyright information, consult Copyright Policy (www.ametsoc.org/PUBSReuseLicenses). Corresponding author: Ariane Frassoni, ariane.frassoni@inpe.br

10.1175/bams-d-23-0102.1 article EN Bulletin of the American Meteorological Society 2023-05-25

Abstract Moist static energy (MSE) and ocean heat content (OHC) in the tropics are inextricably linked. The processes by which sources sinks of OHC modulate column integrated MSE Indian Ocean (IO) explored through a reformulation budget using atmosphere reanalysis data. In reframed budget, interfacial air–sea turbulent radiative fluxes replaced for information on upper dynamics, thus “mooring” tendency to subsurface ocean. On subseasonal time scales, forcing is largely responsible...

10.1175/jcli-d-22-0182.1 article EN Journal of Climate 2022-10-11

Abstract Diurnal and semidiurnal variations of atmospheric pressure surface winds are fundamental to the Earth‐Sun system. Past research in tropical Pacific shows diurnal patterns zonal meridional wind anomalies, respectively. While pattern is consistent with thermal tidal forcing, it not yet certain what drives variability. This study examines cycle Atlantic Ocean across four different seasons extent which they impact evolution open‐ocean precipitation boreal summer. Comparisons direct...

10.1029/2019jd031997 article EN Journal of Geophysical Research Atmospheres 2020-10-30

<p class="Abstract">In recent years, studies have put forth various theories and findings on the role of oceanic equatorial Rossby waves (OERW) in subseasonal-to-seasonal (S2S) predictability Indian Ocean (IO). While much scientific literature uses data from in-situ, satellite, and/or reanalysis datasets, this study focuses reforecast fields European Centre for Medium-Range Weather Forecasting’s (ECMWF) S2S dataset. Evaluation...

10.5194/egusphere-egu23-1334 preprint EN 2023-02-22

Abstract In recent years, studies have put forth various theories on the role of oceanic equatorial Rossby waves (OERW) in subseasonal‐to‐seasonal (S2S) predictability Indian Ocean (IO). While much scientific literature uses data from in‐situ , satellite, and/or reanalysis datasets, this study focuses reforecast fields European Centre for Medium‐Range Weather Forecasting's (ECMWF) S2S dataset. Evaluation model's predictive skill representing OERWs and associated variations...

10.1002/qj.4636 article EN Quarterly Journal of the Royal Meteorological Society 2023-12-09
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