Electromagnetic characteristics of ENSO

Petereit, Johannes; Saynisch, Jan; Irrgang, Christopher; Weber, Tobias; Thomas, Maik

doi:10.5194/os-2018-4

Cited by 4 publications

(6 citation statements)

References 22 publications

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“…Neither large temperature nor salinity changes are limited to shelf regions. In the equatorial Pacific, for example, the El Niño/Southern Oscillation causes large temperature and salinity anomalies which again cause only minor σ mean and B M 2, r anomalies (Petereit et al, ).…”

Section: Discussionmentioning

confidence: 99%

Analysis of Ocean Tide‐Induced Magnetic Fields Derived From Oceanic In Situ Observations: Climate Trends and the Remarkable Sensitivity of Shelf Regions

et al. 2019

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Tidal motion of oceanic salt water through the ambient geomagnetic field induces periodic electromagnetic field signals. Amplitudes of the induced signals are sensitive to variations in electrical seawater conductivity and, consequently, to changes in oceanic temperature and salinity. In this paper, we computed and analyzed time series of global ocean tide-induced magnetic field amplitudes. For this purpose, we combined data of global in situ observations of oceanic temperature and salinity fields from 1990-2016 with data of oceanic tidal flow, the geomagnetic field, mantle conductivity, and sediment conductance to derive ocean tide-induced magnetic field amplitudes. The results were used to compare present day developments in the oceanic climate with two existing climate model scenarios, namely, global oceanic warming and Greenland glacial melting. Model fits of linear and quadratic long-term trends of the derived magnetic field amplitudes show indications for both scenarios. Also, we find that magnetic field amplitude anomalies caused by oceanic seasonal variability and oceanic climate variations are 10 times larger in shallow ocean regions than in the open ocean. Consequently, changes in the oceanic and therefore the Earth's climate system will be observed first in shelf regions. In other words, climate variations of ocean tide-induced magnetic field amplitudes are best observed in shallow ocean regions using targeted monitoring techniques.

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Section: Discussionmentioning

confidence: 99%

Analysis of Ocean Tide‐Induced Magnetic Fields Derived From Oceanic In Situ Observations: Climate Trends and the Remarkable Sensitivity of Shelf Regions

et al. 2019

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“…This research used ENSO index data in 2010-2016 period as an indicator of El Niño activity in the Pacific Ocean, which was retrieved from https://www.esrl.noaa.gov/psd/enso/mei/. The ENSO index is obtained by calculating the average of sea surface temperature anomalies in the Niño 3.4 area (190°E-240°E and 5°S-5°N) according to El Niño definition (Irwandi et al, 2018;Petereit et al, 2018). ENSO intensity is divided into 3 categories; weak, moderate, and strong.…”

Section: This Research Was Conducted In Langkatmentioning

confidence: 99%

Influence of El Niño 2015/2016 on Climate Variability and Production of Main Crops in Langkat Regency

Ramija¹,

Sudrajat²,

Irwandi³

et al. 2021

J.Agromet

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El Niño Southern Oscillation (ENSO) is a global phenomenon that drives local and regional climate variability. It also affects various sectors in daily life, including agriculture. Influence of El Niño is well documented in literatures and generally it gives detrimental effects on agriculture. But, our understanding on local impact to main crops in Langkat Regency, North Sumatra is limited. This study explored the influence of the 2015/16 El Niño in Langkat Regency particularly on local climate variability, and production of on rice, corn, and soybean. We used daily climate data for 1981-2016 combined with agricultural production for 2010-2016. The onset of rainy season was determined using climate data, and we divided the analysis based on the seasonal zone (ZOM). Then we statistically compared agricultural production of each main crops (rice, corn, soybean) annually to the annual mean production for 2010-2016. The results showed that El Niño shorten a wet season in 2015/16 for all ZOMs, with a decreased rainfall between 7% to 30% compared to the normal year. In contrast, agricultural production had risen for 6%-16% due to human interventions during El Niño period. The interventions were comprised of two activities: the use of climate information for agricultural management and expansion of planting area. The findings suggested that climate information will be benefit to society when it is properly used.

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“…The main question is hereby, are the EMOTS phases equally sensitive to oceanic conditions and to secular variation as the EMOTS amplitudes? (Petereit et al, , ; Saynisch et al, , ).…”

Section: Introductionmentioning

confidence: 99%

“…Especially since the launch of the Swarm satellite magnetometers (Friis‐Christensen et al, ), the number of EMOTS‐related studies is ever growing. Alone in the last few years, many papers studying or using EMOTS were published (Grayver & Olsen, ; Guzavina et al, , ; Petereit et al, , ; Šachl et al, ; Schnepf et al, ; Saynisch et al, ; Velimsky et al, ). EMOTS are used to infer information about the Earth's lithosphere and mantle (Guzavina et al, ; Grayver et al, ; Kuvshinov et al, ; Schnepf et al, ).…”

Section: Introductionmentioning

confidence: 99%

“…EMOTS are used to infer information about the Earth's lithosphere and mantle (Guzavina et al, ; Grayver et al, ; Kuvshinov et al, ; Schnepf et al, ). Likewise, EMOTS are proposed to infer information about the oceans (Irrgang et al, ; Petereit et al, ; Saynisch et al, , ). In addition, EMOTS influence on other EM observations, and EMOTS errors are important topics (Guzavina et al, ; Saynisch et al, ; Schnepf et al, , ).…”

Section: Introductionmentioning

confidence: 99%

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Phase Changes of Electromagnetic Oceanic Tidal Signals

et al. 2020

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Over the last years, the number of studies that investigate or utilize the electromagnetic (EM) signals generated by ocean tides is steadily growing. However, the majority of these studies focuses on the amplitudes of EM tidal signals. This study investigates the phases of EM tidal signals and their changes. Twenty-six years of monthly observation-based datasets of tidal velocities, geomagnetic field, and oceanic conductivity are fed into an EM induction solver to generate varying EM tidal signals. The sensitivities of the resulting EM signals are analyzed by forbidding or allowing the input datasets to vary in time. We report on the phase's sensitivities with respect to changes in the EM properties, that is, secular variation of the geomagnetic field and changes in oceanic conductivity. Distinct temporal behavior and distinct geographic pattern for the two sensitivities can be reported. In general, apart from global phase shifts of 3-5 degrees, concentrated areas with phase shifts of up to 45 degrees occur all over the globe, over the oceans, for example, Arctic and Atlantic Ocean, as well as on coastal land regions, for example, Southwest Greenland and Japan. Very locally, phase shifts of 90 degree or higher occur.

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Electromagnetic characteristics of ENSO

Cited by 4 publications

References 22 publications

Analysis of Ocean Tide‐Induced Magnetic Fields Derived From Oceanic In Situ Observations: Climate Trends and the Remarkable Sensitivity of Shelf Regions

Analysis of Ocean Tide‐Induced Magnetic Fields Derived From Oceanic In Situ Observations: Climate Trends and the Remarkable Sensitivity of Shelf Regions

Influence of El Niño 2015/2016 on Climate Variability and Production of Main Crops in Langkat Regency

Phase Changes of Electromagnetic Oceanic Tidal Signals

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