Raymond G. Najjar

Dr. Raymond G. Najjar

orcid

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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22 May 2023 in Nature Climate Change
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Journal Article
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JRJudith A. Rosentreter
Judith A. Rosentreter
GLGoulven G. Laruelle
Goulven G. Laruelle
HBHermann W. Bange
Hermann W. Bange
TBThomas S. Bianchi
Thomas S. Bianchi
JBJulius J. M. Busecke
Julius J. M. Busecke
PRPierre Regnier
Pierre Regnier

8 August 2007 in Global Biogeochemical Cycles
Verified
Journal Article
Open access
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RNRaymond G. Najjar
Raymond G. Najjar
XJX. Jin
X. Jin
FLF. Louanchi
F. Louanchi
OAO. Aumont
O. Aumont
KCK. Caldeira
K. Caldeira
AYA. Yool
A. Yool
Results are presented of export production, dissolved organic matter (DOM) and dissolved oxygen simulated by 12 global ocean models participating in the second phase of the Ocean Carbon‐cycle Model Intercomparison Project. A common, simple biogeochemical model is utilized in different coarse‐resolution ocean circulation models. The model mean (±1σ) downward flux of organic matter across 75 m depth is 17 ± 6 Pg C yr−1. Model means of globally averaged particle export, the fraction of total export in dissolved form, surface semilabile dissolved organic carbon (DOC), and seasonal net outgassing (SNO) of oxygen are in good agreement with observation‐based estimates, but particle export and surface DOC are too high in the tropics. There is a high sensitivity of the results to circulation, as evidenced by (1) the correlation of surface DOC and export with circulation metrics, including chlorofluorocarbon inventory and deep‐ocean radiocarbon, (2) very large intermodel differences in Southern Ocean export, and (3) greater export production, fraction of export as DOM, and SNO in models with explicit mixed layer physics. However, deep‐ocean oxygen, which varies widely among the models, is poorly correlated with other model indices. Cross‐model means of several biogeochemical metrics show better agreement with observation‐based estimates when restricted to those models that best simulate deep‐ocean radiocarbon. Overall, the results emphasize the importance of physical processes in marine biogeochemical modeling and suggest that the development of circulation models can be accelerated by evaluating them with marine biogeochemical metrics.

11 March 2018 in Global Biogeochemical Cycles
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Journal Article
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RNRaymond G. Najjar
Raymond G. Najjar
MHM. Herrmann
M. Herrmann
RAR. Alexander
R. Alexander
EBElizabeth W. Boyer
Elizabeth W. Boyer
DBD. J. Burdige
D. J. Burdige
RZRichard Zimmerman
Richard Zimmerman

25 November 2019 in Journal of Geophysical Research: Oceans
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Journal Article
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WNWenfei Ni
Wenfei Ni
Ming LiMing Li
Ming Li
ARAndrew C. Ross
Andrew C. Ross
RNRaymond G. Najjar
Raymond G. Najjar
Climate change is known to cause deoxygenation in the open ocean, but its effects on eutrophic and seasonally hypoxic estuaries and coastal oceans are less clear. Using Chesapeake Bay as a study site, we conducted climate downscaling projections for dissolved oxygen and found that the hypoxic and anoxic volumes would increase by 10‐30% between the late 20th and mid‐21st century. A budget analysis of dissolved oxygen in the bottom water revealed differing physical and biogeochemical responses to climate change. Sea level rise and larger winter‐spring runoff led to stronger stratification and large reductions in the vertical oxygen supply to the bottom water. On the other hand, warming led to earlier initiation of hypoxia, accompanied by weaker summer respiration and more rapid termination of hypoxia. Decreasing solubility due to warming accounted for about 50% of the reduction in the bottom water oxygen content.

13 October 2023 in Global Biogeochemical Cycles
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Journal Article
Open access
HTHanqin Tian
Hanqin Tian
YYYuanzhi Yao
Yuanzhi Yao
YLYa Li
Ya Li
HSHao Shi
Hao Shi
SPShufen Pan
Shufen Pan
LLLai Yung Ruby Leung
Lai Yung Ruby Leung
Global carbon dioxide (CO2) evasion from inland waters (rivers, lakes, and reservoirs) and carbon (C) export from land to oceans constitute critical terms in the global C budget. However, the magnitudes, spatiotemporal patterns, and underlying mechanisms of these fluxes are poorly constrained. Here, we used a coupled terrestrial–aquatic model to assess how multiple changes in climate, land use, atmospheric CO2 concentration, nitrogen (N) deposition, N fertilizer and manure applications have affected global CO2 evasion and riverine C export along the terrestrial‐aquatic continuum. We estimate that terrestrial C loadings, riverine C export, and CO2 evasion in the preindustrial period (1800s) were 1,820 ± 507 (mean ± standard deviation), 765 ± 132, and 841 ± 190 Tg C yr−1, respectively. During 1800–2019, multifactorial global changes caused an increase of 25% (461 Tg C yr−1) in terrestrial C loadings, reaching 2,281 Tg C yr−1 in the 2010s, with 23% (104 Tg C yr−1) of this increase exported to the ocean and 59% (273 Tg C yr−1) being emitted to the atmosphere. Our results showed that global inland water recycles and exports nearly half of the net land C sink into the atmosphere and oceans, highlighting the important role of inland waters in the global C balance, an amount that should be taken into account in future C budgets. Our analysis supports the view that a major feature of the global C cycle–the transfer from land to ocean–has undergone a dramatic change over the last two centuries as a result of human activities.

17 September 2017 in Journal of Geophysical Research: Oceans
Verified
Journal Article
Open access
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ARAndrew C. Ross
Andrew C. Ross
RNRaymond G. Najjar
Raymond G. Najjar
MLMing Li
Ming Li
SLSerena Blyth Lee
Serena Blyth Lee
FZFan Zhang
Fan Zhang
WLWei Liu
Wei Liu
Secular tidal trends are present in many tide gauge records, but their causes are often unclear. This study examines trends in tides over the last century in the Chesapeake and Delaware Bays. Statistical models show negative M2 amplitude trends at the mouths of both bays, while some upstream locations have insignificant or positive trends. To determine whether sea level rise is responsible for these trends, we include a term for mean sea level in the statistical models and compare the results with predictions from numerical and analytical models. The observed and predicted sensitivities of M2 amplitude and phase to mean sea level are similar, although the numerical model amplitude is less sensitive to sea level. The sensitivity occurs as a result of strengthening and shifting of the amphidromic system in the Chesapeake Bay and decreasing frictional effects and increasing convergence in the Delaware Bay. After accounting for the effect of sea level, significant negative background M2 and S2 amplitude trends are present; these trends may be related to other factors such as dredging, tide gauge errors, or river discharge. Projected changes in tidal amplitudes due to sea level rise over the 21st century are substantial in some areas, but depend significantly on modeling assumptions.