ENSO indices and analyses

Wang, Zhiren; Wu, Dexing; Chen, Xueen; Ran, Qiao

doi:10.1007/s00376-012-2238-x

Cited by 8 publications

(14 citation statements)

References 21 publications

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“…Changes in the amplitude and direction of wind could change the circulation and shear within Delaware Bay through alterations in wind-driven currents, Ekman transport, and mixing. Wind1 and Wind2 were designed to examine the effects due to changing cross-bay and along-bay winds, with consideration that the general circulation changes more in direction than in size during the major inter-annual variations [20].…”

Section: Numerical Experiments Conducted For Climate Sensitivity Studiesmentioning

confidence: 99%

“…Modeling and correlation studies are performed in Wang et al [5] and shows that salinity and temperature influence MSX prevalence (MSXP), and are out of phase under a regular climate background where river flow increases with warmer air (therefore corresponding with higher water temperatures) through enhanced precipitations or snowice melting and the increased river flow input decreasing salinity, which has helped control the MSXP. However, concurrent warmer and saltier conditions did occur within Delaware Bay under an "irregular" climate background, e.g., during the persistently drier and warmer period of 1984-85 when MSXP was high, following the unusually strong El Niño in 1982-83 [5,20]. Warmer and saltier conditions can also be induced by global warming and less river flow input due to reduced precipitations or snow-ice melting.…”

Section: Introductionmentioning

confidence: 99%

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Impacts on Estuarine Ecosystem from Climate Changes Based on Modeling Experiments within Delaware Bay

2019

EESRR

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Coastal regions concentrate ecological behaviors, have more observations, permit high-resolution modeling, and serve as a good climate-changing sensor. For the Delaware Bay, a high-resolution hydro-dynamical model (ROMS) was tailored, validated and applied to hindcast its largely unrecorded physical environment, to investigate the roles of the physical environment influencing oyster diseases, and to inquire into the future fate of the bay in response to climate changes. Sensitivity studies suggested that 50-100-cm sea-level rise (SLR) in approximately 50-100 years may occur and salinize the Delaware Bay mainly through weakening salinity gradient and salt advection due to the intensified mixing induced by the widened bay. Highly correlating to mixing and therefore changing salt advection, the width of the bay mattered to salt intrusion distance more than the depth of the bay did. This conclusion is differenet than that from the classic theories that emphasize the depth in influencing the salt intrusion distance via the steady shear dispersion. The SLR-induced salinization may not be offset by intensified river flow input, but may be substantially mitigated by fixing the coastline (or width). Climate warming may warm the shallow and thermally sensitive bay. The warm and salty conditions would compromise freshwater resource in the upper bay and be generally unfavorable to oysters by promoting oyster diseases (i.e., MSX and Dermo). Salinization might occur in other similar estuaries of narrow geometry, shallow depth, and small volume.

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Section: Numerical Experiments Conducted For Climate Sensitivity Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Impacts on Estuarine Ecosystem from Climate Changes Based on Modeling Experiments within Delaware Bay

2019

EESRR

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“…The El Niño phenomena that episodically occur in the equatorial-tropical latitudes of the Pacific Ocean [1,2] are among the most significant factors affecting weather and climate in different regions of the world [3][4][5][6]. In addition to fundamental scientific interest, study of the causes of El Niño and of the physical peculiarities of its manifestation in the global climate system is of an applied value with respect to long term prediction of floods, draughts, hurricanes, abrupt temperature changes, and other, sometimes cata strophic weather anomalies accompanying the El Niño phenomenon.…”

Section: State Of the Problemmentioning

confidence: 99%

“…(b) Averaged variation in water level at Artemovskoe-Mnogoudobnoe water res ervoir in typical (1) and El Niño years(2).…”

mentioning

confidence: 99%

The influence of global atmospheric oscillation on formation of climate anomalies in the Russian Far East

et al. 2014

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“…Mixing is important for not only circulations but also for tracer and energy transports. A small fraction kinetic energy from circulations can transport huge amount of energy and changes in directions or magnitudes of circulations may cause large weather-climate adjustment [2]. Dozens of experimental parameters have to be adjusted for mixing according to modeling methods and domains.…”

Section: Introductionmentioning

confidence: 99%

Integration of Advection and Mixing Using Fluid Mass-Momentum-Covering Relationships

2019

EESRR

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Classical discretization of discrete fluids and parameterization of mixing bring modeling uncertainties for momentumuneven fluids by setting the grid spacing as the distance for fluids to move within one time step, using low resolutions, and introducing dozens of parameters dependent of scales and modeling processes. Low resolutions have linearized, in a rather extent, nonlinear motions and failed to forecast accelerations that can cause climate adjustments, especially during solving tide-associated dynamics. Here, I wrote Newton Law directly for discrete fluids under conservations of momentum and mass using “mass and momentum-covering relationships (MMCR)”, and combined advection and mixing terms. Mixing became a higher-order advection terms induced from speed gradients times coefficients that are functions of density, grid spacing, and the gradients of speed, density and momentum. Parameterization can be avoided and no uncertain parameters are involved in modeling. Preliminary modeling experiments showed skill for simulation of sea surface temperatures over tropical oceans where momentum was more uneven than as compared with higher latitudes.

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ENSO indices and analyses

Cited by 8 publications

References 21 publications

Impacts on Estuarine Ecosystem from Climate Changes Based on Modeling Experiments within Delaware Bay

Impacts on Estuarine Ecosystem from Climate Changes Based on Modeling Experiments within Delaware Bay

The influence of global atmospheric oscillation on formation of climate anomalies in the Russian Far East

Integration of Advection and Mixing Using Fluid Mass-Momentum-Covering Relationships

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