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Decoding low-frequency climate variations: A case study on ENSO and ocean surface warming Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-03-02 R, a, m, e, s, h, a, n, , K, a, l, l, u, m, m, a, l
Current perspectives on lower frequency variations and secular warming have predominantly been shaped by traditional anomalies that assume an annual cycle (AC) with a time-invariant amplitude. However, this anomaly framework falls short in capturing the complexity of multiple periodic modes with intricate waveforms and time dependent amplitude—the traits, in general, shared by externally forced responses
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Assessment of mean precipitation and precipitation extremes in Iran as simulated by dynamically downscaled RegCM4 Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-02-23 Azar Zarrin, Abbasali Dadashi-Roudbari
This paper aims to assess the mean precipitation and precipitation extremes over Iran as simulated by the Regional Climate Model (RegCM4). A simulation spanning 20 years (1991–2010) at a horizontal resolution of 20 Km is driven by the NCEP / NCAR reanalysis. We evaluated the model by comparing simulated precipitation with observations using Bias, Root-Mean-Square Error, and Index of Agreement metrics
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The impacts of hail microphysics on maximum potential intensity of idealized tropical cyclone Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-02-22 Chen Chen, Jiangnan Li
Maximum potential intensity (MPI), which a TC may reach in certain environment conditions, can be affected by microphysical processes. Latent heat released in the process of TC development plays a significant role in it. However, the impacts of hail added both to single-moment and double-moment microphysics parameterization scheme on the MPI remain unclear. In this study, high-resolution sensitivity
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Invalid spheroidal geopotential approximation and non-decomposable centrifugal acceleration from gravity – Reply to: Comments on “Horizontal gravity disturbance vector in atmospheric dynamics” by Chang, Wolfe, Stewart, McWilliams Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-02-07 P, e, t, e, r, , C, ., , C, h, u
Chang, Wolfe, Stewart, and McWilliams commented on my recent work regarding the horizontal gravity disturbance vector in atmospheric and oceanic dynamics. Their comments are incorrect. They ignored the horizontal pressure gradient error, claimed the validity of the spheroidal geopotential approximation subjectively based only on small metric error, and decomposed gravity into gravitational and centrifugal
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Investigating role of tropical-extratropical interactions in formation of atmospheric rivers and supplying extreme-widespread precipitation moisture in Iran: A case study on March 25, 2019 Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-02-07 Helaleh Fahimi, Abdullah Faraji, Buhloul Alijani, Hossein Asakereh, Koohzad Raispour
This study aims to investigate the role of tropical-extratropical interactions in the formation of atmospheric rivers as an important source of moisture in extreme-widespread precipitation of Iran. Extreme precipitation events are extracted based on the 95 percentile index from 1989 to 2019 in Iran. Then, the threshold of widespread precipitation is determined. A day is defined as having extreme-widespread
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Response of shelf waters in the northern Gulf of Oman to the passage of tropical Cyclone Shaheen (2021) Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-02-03 H. Lahijani, P. Ghafarian, A. Saleh, A. Kaveh-Firouz, A. Mohammadi, J. Azizpour, S. Sanjani, H. Rezaei, M. Afarin
On September 29, 2021, Cyclone Shaheen attained significant development in the Arabian Sea. It proceeded to cross the Gulf of Oman on October 3, causing substantial economic damage and casualties due to the heavy rain and high waves it generated. Using meteorological and satellite data, measuring the physical and chemical properties of the water column by CTD a few days before and after the cyclone
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The oceanic mixed layer changes along with the state transition of the Beaufort Gyre Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-23 Guorui Wei, Hailong Liu, Lei Cai
Recent state transition of the Beaufort Gyre has drawn great interest in the Arctic research community, but how the upper ocean hydrographic structure varies with this transition remains poorly understood. The upper ocean mixed layer plays an important role in climatic and ecological processes. Therefore, we analyze the Ice-Tethered Profiler (ITP) observations over the last two decades (2004–2022)
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Role of Stable Isotopes in Revealing Moisture Sources and Rainfall Variability in India Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-19 Gokul Prasad, Pennan Chinnasamy, Ian Cartwright
Precipitation is a crucial component of the water cycle and is essential for the livelihood of people and ecosystems; therefore, understanding precipitation parameters is vital. Stable isotopes in precipitation can provide important information on precipitation sources, atmospheric circulation patterns, and hydrological processes. In this study, stable isotopes in precipitation for four cities in India
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Evolution and roles of mesoscale convective system during the Nocturnal Rainfall in Sichuan Basin and its surrounding mountainous areas Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-18 Yu Zhou, Guoping Li
The Sichuan Basin (SCB) and its surrounding mountainous areas have complicated topography, and the "Nocturnal Rainfall in the Basin (NRB)" and "Nocturnal Rainfall in the Mountainous Areas (NRMA)" are frequent. To further clarify the relationship and the interaction between the two types of "nocturnal rainfall" synoptic systems, the characteristics of the synoptic meteorology, thermodynamics, dynamics
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Discrepancies between observation and ERA5 reanalysis in the Amazon deforestation context: A case study Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-18 Queren Priscila da Silva, Demerval Soares Moreira, Helber Custódio de Freitas, Leonardo Moreno Domingues
Deforestation in tropical areas is broadly reported to change the climate both locally and regionally. Warmer and drier conditions, as well as changes in precipitation patterns, are linked to deforestation in the Amazon. In this study, we identified two areas of distinct land use in Amazon: a preserved native forest and an increasingly deforested region southward. Due to the scarcity of available ground
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Heat waves related to Quasi-Biweekly variability over Southern China in the FGOALS-g3 model Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-15 Bin Zheng, Yanyan Huang, Lijuan Li, He Wang
In the present study, we focused on the heat waves (HW) associated with the quasi-biweekly (QBW, 10–20-day period) variability (QBW-HW) over Southern China (SC, 102º–120ºE, 21º–30ºN) in the Flexible Global Ocean–Atmosphere–Land System Model, GridPoint version 3 (FGOALS-g3), and the HW-associated structures and surface air temperature budget investigated by using model outputs from historical experiment
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An assessment of model capability on rapid intensification prediction of tropical cyclones in the South China Sea Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2024-01-02 Yanyan Huang, Yanxia Zhang, Chengzhong Zhang, Bin Zheng, Guangfeng Dai, Mengjie Li
The absence of robust quantitative evaluation methods has led to insufficient knowledge of models capability on the rapid intensification (RI) prediction of tropical cyclones (TCs). In this study, we propose a method and define some indicators aiming to evaluate model capability on predicting RI in a more accurate manner. An assessment of model predictive capability on RI of TCs based on 10 years of
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Nonlinear flow of couple stress fluid layer over an inclined plate Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-29 Magdy A. Sirwah, Ahmed Assaf
The issue of stability of a thin couple-stress liquid layer flows on an inclined plane was inspected. The thin-film approximation was employed to obtain a Benney-like differential equation, that described the time record of the interface profile The linear transition state and reduction ratio of maximum classical (Newtonian) growth-rate were discussed. The complete evolution equation was solved numerically
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The strengthened role of new predictors of Indian Ocean Dipole (IOD) during the recent decades of weakened ENSO-IOD relationship Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-28 Prasanth A. Pillai, V.G. Kiran, K.V. Suneeth
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The extraordinary atmospheric rivers analysis over the Middle East: Large-scale drivers, structure, effective sources, and precipitation characterization Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-23 Neda Esfandiari, Alireza Shakiba
The study investigates the characteristics of Extraordinary Atmospheric Rivers (EARs), including large-scale atmospheric patterns, structure, effective sources, and precipitation in the Middle East. For this purpose, ARs with maximum Vertically Integrated Water Vapor Transport (IVT) ≥ 1000 kg m−1 s−1 were extracted from 1981 to 2020. ERA5 and PERSIANN-CCS-CDR data were used to analyze the characteristics
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Assessment of marsh terrace designs for wave attenuation utilizing a wave model Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-22 Raúl J. Osorio, Anna Linhoss, Adam Skarke, Michael G. Brasher, Madelyn McFarland
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Geometry effects on wind fields and consequent wave generation in the Strait of Hormuz: A case study Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-22 Fatemeh Ameri, S. Abbas Haghshenas, Sarmad Ghader
This study investigates the impact of surface wind forcing on wave conditions in the Strait of Hormuz, a region with complex wave interactions. The WRF model is used to simulate the wind field with higher accuracy, enabling the generation of waves for both normal and storm conditions in 2011. A sensitivity analysis examines the WRF model's simulated wind field with variations in initial and boundary
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Wind gust forecasting by post-processing the WRF model outputs using ANN Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-19 Mohammad Hesam Mohammadi, Amir Hussain Meshkatee, Sarmad Ghader, Majid Azadi
Strong and highly variable winds and gusts are major hazards to infrastructure, properties, and life. Consequently, accurate prediction and timely detection of wind gust intensity have always been a focus of interest for earth scientists and weather forecasters. In this study, The WRF (Weather Research and Forecasting) post-process diagnostic of wind gusts (WPD method) was utilized to predict non-convective
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The initial errors occurring over Pacific-Atlantic Oceans and exerting large disturbing effect on ENSO predictability Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-15 Guangshan Hou, Meiyi Hou, Wansuo Duan
Using a novel data analysis method for predictability dynamics, the impacts of initial sea surface temperature (SST) errors over Pacific and Atlantic Oceans on the predictability of eastern and central Pacific El Niño (i.e., EP and CP El Niño) are investigated. The results reveal the initial SST errors that cause large disturbing effects on EP and CP El Niño forecasting, respectively. These initial
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Three-dimensional characteristics of mesoscale eddies in the western boundary current region of the Bay of Bengal using ROMS-NPZD Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-14 Abhijit Shee, Sourav Sil, Rahul Deogharia
Eddies play an important role in transporting and redistributing the heat, salt, and biological parameters in the global ocean. In this study, three-dimensional physio-biochemical characteristics of an anticyclonic (AE) and a cyclonic eddy (CE) associated with the poleward western boundary current (WBC) in the Bay of Bengal (BoB) are analyzed using a coupled bio-physical ocean model (ROMS-NPZD). Due
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Tendencies of tropical cloud clusters transformation into tropical cyclones Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-12 Kandula V. Subrahmanyam, Karanam Kishore Kumar, D.R. Pattanaik, M.V. Ramana, Prakash Chauhan
Tropical cloud clusters (TCC) play a vital role in Earth's climate by not only releasing a large amount of latent heat into the atmosphere but also by forming the basis for the development of tropical cyclones (TC). However, not all TCCs can develop into cyclones; only a few develop into TC selectively. There are large uncertainties in the current understanding of why only certain TCCs develop into
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On the relationship between the South Atlantic Convergence Zone and sea surface temperature during Central-East Brazil extreme precipitation events Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-12-07 Nicole Cristine Laureanti, Sin Chan Chou, Paulo Nobre, Enrique Curchitser
The precipitation in Central-East Brazil (CEB) from December to February is heavily influenced by the South Atlantic Convergence Zone (SACZ). The SACZ not only causes considerable rainfall but also has an impact on the underlying ocean. This study examines the extreme precipitation events in CEB and their relationship with the SACZ and sea surface temperature (SST). Empirical Orthogonal Function (EOF)
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Vertical structure of North Indian Ocean tropical cyclones: A composite analysis using TRMM and GPM Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-30 K.N. Uma, B. Reshma
The present study deals with the vertical structure of Tropical Cyclones (TC) from 2010 to 2020 over the North Indian Ocean (NIO) using the Tropical Rainfall Measuring Mission (TRMM) and Global Precipitation Measurement Mission (GPM). We analyzed 31 TC which were characterized as severe cyclonic storms, very severe cyclonic storms, and super cyclones out of which 18 occurred over the Bay of Bengal
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An update to WRF surface layer parameterization over an Indian region Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-24 Prabhakar Namdev, Piyush Srivastava, Maithili Sharan, Saroj K. Mishra
Surface layer parameterization schemes in numerical weather prediction models are based on the Monin-Obukhov similarity theory (MOST), which utilizes empirical functions to incorporate the effects of near-surface atmospheric stability. In the present study, an effort has been made to implement and evaluate the performance of recently developed similarity functions under stable stratification in the
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Detection and quantification of wave trends in the Mediterranean basin Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-23 Francesco Aristodemo, Andrea Lira Loarca, Giovanni Besio, Tommaso Caloiero
A study of a 42-year (1979–2020) long wave time series was performed for the Mediterranean Sea to detect and quantify trends in two relevant wave parameters adopted for coastal and offshore engineering purposes: significant wave height, Hs and peak period, Tp. The high resolution MeteOcean Re-Analysis database by the Department of Civil, Chemical and Environmental Engineering (DICCA) was used. At yearly
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A meridional dipole mode in the Indian Ocean subsurface ocean heat content and its multidecadal variability Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-19 Anand Babu Amere, Mihir K. Dash, Balaji Senapati
The dominant mode of the Indian Ocean variability can be impacted by changes in the background state (multidecadal timescale) of the subsurface heat content. The multidecadal variability of subsurface ocean heat content (sub-OHC) in the Indian Ocean is examined using four reanalysis products from 1958 to 2017. The analysis reveals a meridional basin-wide dipole mode in the subsurface OHC until the
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Ensemble-based analysis of heavy rainfall–snowfall associated with mesoscale precipitation bands within an extratropical cyclone over northeastern China Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-08 Yu Zhao, Yunfei Bai, Ziyi Huang, Chengfang Yang
This paper investigates the key synoptic-scale factors that affected the forecasting of mesoscale rainfall and snowfall and their associated uncertainties in a heavy rain–snow event in northeastern China on 18–20 November 2020, using ensemble-based sensitivity analysis based on global ensemble forecasts from the European Centre for Medium-Range Weather Forecasts. The heavy precipitation event was attributed
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Forecast Skill of Bangladesh Summer Monsoon Rainfall in C3S and NMME Models After Calibration Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-08 Muhammad Azhar Ehsan, Bohar Singh
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On the phenology of coastal upwelling off central-southern Chile Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-07 Richard Muñoz, Odette A. Vergara, Pedro A. Figueroa, Piero Mardones, Marcus Sobarzo, Gonzalo S. Saldías
Coastal upwelling is the dominant physical process triggering high biological productivity in Eastern Boundary Upwelling Systems (EBUS). These regions are characterized by intense upwelling events driven by Equatorward alongshore winds. In the Humboldt current system off central-southern Chile (30–40°S) the coastal upwelling process has been studied from several approaches including biogeochemical
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Ocean surface wave dynamics off the southern tip of Indian mainland Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-08 V. Sanil Kumar, K.K. Sivakrishnan
Waves collected in the nearshore waters off the southern tip of the Indian mainland from February 2018 to January 2019 are used to examine the wave spectral characterization. The annual mean of the significant wave height (1.23 m) in this area is slightly higher than that along the waters of the eastern Arabian Sea (0.9–1.1 m), but the maximum value in an annual cycle (3.6 m) is less than that (4.5–5 m)
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Quantitative analysis of cyclone-induced storm surges and wave characteristics over Andaman Islands for improved Disaster Risk Reduction Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-07 Hamid Varikkodan, S. Balaji, S. Arjun
The Andaman Islands in the Bay of Bengal were affected by a Very Severe Cyclone Storm event in November 2013. A study was conducted to evaluate the surge heights and wave characteristics at six locations along the east and west coasts of these islands. The study used the MIKE 21 HD/SW coupled model to simulate the effects of this cyclone on the wave and surge dynamics. The results showed that the locations
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Marine heatwaves intensification, expansion and departure into the permanent state over the Tropical Indian Ocean: A regional earth system model assessment Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-11-07 Pankaj Kumar, Anand Singh Dinesh, Alok Kumar Mishra, Lokesh Kumar Pandey, Dmitry V. Sein, Vladimir A. Ryabchenko
This study employed a regional earth system model, namely ROM over the CORDEX-SA domain, to investigate the future changes in the Marine heatwaves (MHWs) with respect to the historical baseline period (1976–2005) in the three time-slices, explicitly, near future (NRF; 2010–2039), middle future (MDF;2040–2069), and far future (FRF; 2070–2099) under two emission scenarios, Representative Concentration
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Prediction modeling of coastal sediment transport using accelerated smooth particle hydrodynamics approach Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-10-31 Rilwan Kayode Apalowo, Aizat Abas, Mohd Hafiz Zawawi, Nazirul Mubin Zahari, Zarina Itam
A GPU-accelerated 3D smooth particle hydrodynamics (SPH) scheme is developed and applied to a coastal multi-phase liquid-sediment interaction and sediment transport. The SPH scheme's meshless design and the sediment's particle structure enable the modeling of the waves' interactions with the sediment particles beyond the limitation of the mesh-based methods. A Newtonian constitutive model is used to
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Performance evaluation of lightning potential index and flash count using WRF microphysical parameters over Rajasthan and West Bengal, India Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-10-18 Unashish Mondal, S.K. Panda, Bijit Kumar Banerjee, Anish Kumar, Devesh Sharma
Accurate lightning prediction stands as a pressing global challenge, demanding robust solutions for safeguarding lives and valuable assets. In this study, we employ the mesoscale numerical model, Weather Research and Forecasting (WRF-ARW, version 4.0.3), to conduct numerical simulations of lightning occurrences during the 2021 monsoon season in Hooghly (on 07 June) and Jaipur (on 11 July). These events
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Advancing ocean subsurface thermal structure estimation in the Pacific Ocean: A multi-model ensemble machine learning approach Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-09-28 Jifeng Qi, Linlin Zhang, Baoshu Yin, Delei Li, Bowen Xie, Guimin Sun
Estimation of the ocean subsurface thermal structure (OSTS) is important for understanding thermodynamic processes and climate variability. In the present study, a novel multi-model ensemble machine learning (Ensemble-ML) model is developed to retrieve subsurface thermal structure in the Pacific Ocean by integrating sea surface data with Argo observations. The Ensemble-ML model integrates four individual
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A modified multifractal detrended fluctuation analysis to study the precipitation across northeast India Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-09-20 Rashmi Rekha Devi, Surajit Chattopadhyay
Using multifractal detrended fluctuation analysis (MF-DFA), the pre-monsoon rainfall and Indian summer monsoon rainfall (ISMR) from 1871 to 2016 are examined in this work for northeast India. According to observations, rainfall during the pre-monsoon and summer monsoons both exhibit persistence and quasi-randomness. The generalized Hurst Exponent value indicates that the pre-monsoon rainfall time series
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Impact of tropical Indian Ocean warming on the surface phytoplankton biomass at two significant coastal upwelling zones in the Arabian Sea Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-09-09 Smitha A., Syam Sankar, Satheesan K.
The Sea Surface Temperature (SST) of the Arabian Sea undergoes large seasonal variations owing to the monsoonal forcing and upwelling. Warming of the ocean adversely affects its biological productivity. The present study examined the role of the rapid warming of the tropical Indian Ocean and associated changes in physical forcing parameters on phytoplankton biomass in the Arabian Sea. SST during the
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Editorial Board Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-09-03
Abstract not available
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Significant wave height prediction based on dynamic graph neural network with fusion of ocean characteristics Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-08-11 Yao Zhang, Lingyu Xu, Jie Yu
Significant wave height (SWH) is one of the core parameters for wave and accurate prediction of SWH is of great importance for ocean resource assessment. In this paper, we propose a new multi-characteristic and multi-node SWH prediction model(MCMN). The model considers the lead–lag effect among ocean characteristics and utilizes time lag correlation to automatically learn advanced indication information
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Assessment of the FIO-CPS v2.0 in predicting 2-meter air temperature over China Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-08-06 Qiuying Fu, Zhenya Song, Zhongkai Bo, Ying Bao, Chan Joo Jang, Yajuan Song
The climate prediction system is an essential tool for predicting climatological state and variability. Systematic evaluation of the output is critical for assessing the prediction performance and making improvement. In this study, we evaluate the prediction capability of the First Institute of Oceanography-Climate Prediction System version 2.0 (FIO-CPS v2.0), a short-term climate prediction system
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An assessment of air-sea CO2 flux parameterizations during tropical cyclones in the Bay of Bengal Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-08-05 Trishneeta Bhattacharya, Kunal Chakraborty, Sriram Anthoor, Prasanna Kanti Ghoshal
The exchange of air-sea CO2 plays a significant role in regulating the Earth’s climate. The errors associated with the estimations of air-sea CO2 fluxes during extreme transient events like tropical cyclones (TCs) are important for climate research. In this study, we assess the estimates of CO2 gas transfer velocity and the corresponding air-sea flux derived by employing five wind-dependent and two
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Role of subsurface layer temperature inversion in cyclone induced warming in the northern Bay of Bengal Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-07-28 Anand P, Jimna Janardhanan CM, Anakha P Nair, Suresh I, Suneel V, Gopika S, Pankajakshan Thadathil
Subsurface Layer Temperature Inversion (SLTI) is a prominent physical process occurring in the Bay of Bengal (BoB) during winter. BoB also witnesses intense cyclones during winter (post-monsoon). Sidr is a category-5 cyclone that occurred in the BoB during 11–15 November 2007. The present study emphasises bringing out the effect of SLTI on SST warming. This paper uses observations and modelling to
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A statistical analysis of tropical salinity and its relationship to SST, highlighting two contrasting areas Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-07-27 Mark R. Jury
Tropical air-sea interactions, near-surface salinity (Ss), and sea surface temperature (SST) fluctuations are studied via ocean reanalysis products in the period 1980–2020. The statistical work considers how the net heat and water balance affects mixed layer depth (MLD) and coupling between the upper ocean and atmosphere. Field correlations of Ss – SST exhibit significant negative values in tropical
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Studying the evolution of Uttarkashi cloudburst event from reanalysis datasets–A case study Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-07-16
In recent years, the frequency and severity of cloudburst considerably increased over southern rim of Himalayas due to hot climate that leads to loss of human lives and damage properties. The observed rainfall data shows that cloudburst events with heavy rainfall ∼ 100–200 mm/day are common over the Himalayan region during the summer monsoon period. It is very necessary to understand the mechanisms
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Investigating the unprecedented summer 2022 penetration of the Indian monsoon to Iran and evaluation of global and regional model forecasts Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-07-14 Zahra Ghassabi, Sara Karami, Ahad Vazifeh, Maral Habibi
The Indian Summer Monsoon (ISM) significantly impacts the climate of the Asian continent. During the summer of 2022, the penetration of monsoonal waves towards higher latitudes led to severe and unprecedented floods in various parts of Iran, Pakistan, and southern Afghanistan. In this study, we utilized meteorological data from weather stations, satellite remote sensing, reanalysis data, and teleconnection
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Impact of convection scheme on ENSO prediction of SINTEX-F2 Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-07-08 Yuya Baba
A spectral cumulus parameterization (spectral scheme) is implemented in Scale Interaction Experiment Frontier version 2 (SINTEX-F2) seasonal prediction system, and the impact on the El Niño Southern Oscillation (ENSO) prediction is examined. By conducting hindcast experiments using the original convection scheme (Tiedtke scheme) and the spectral scheme, and comparing the ENSO prediction skill, the
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A contrast in biennial variability of rainfall between central India and the Western Ghats and its mechanisms Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-06-24 Anika Arora, Vinu Valsala, Prasanth A. Pillai
The Western Ghats (WG) of Peninsular India, an integral part of the Indian summer monsoon rainfall, receives three times the average of all India rainfall. The averaged rainfall over WG is characterized by an intense tropospheric biennial oscillation (TBO) of 2–3 years of periodicity. The rainfall anomalies over WG are almost uncorrelated to rainfall over Central India (CI) in the TBO window. This
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Comments on “horizontal gravity disturbance vector in atmospheric dynamics” by Peter C. Chu Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-06-17 Edmund K.M. Chang, Christopher L.P. Wolfe, Andrew L. Stewart, James C. McWilliams
In a recent paper [Chu (2023; Chu23)], the author formulated the equations governing atmospheric motion in a spheroidal coordinate system. Since the mass distribution of the Earth is not exactly spheroidal, the true gravity is not vertical in that coordinate system. Chu23 compared the magnitude of the static horizontal component of gravity in that system to those of the dynamically active forces and
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How and what turbulent are deep Mariana Trench waters? Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-06-01 Hans van Haren
To study potentially turbulent water motions near the deepest point on Earth in the Challenger Deep of the Mariana Trench, a 588-m long string equipped with specially designed sensitive temperature sensors was moored for nearly three years. Detailed analysis of one year of good data distinguishes ubiquitous internal tidal waves and hundreds of meters slanted convection turbulent spurs due to internal
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The onset of stratospheric final warming and record–breaking April surface warming over Central Asia in 2022 Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-05-23 Jincai Xie, Jinggao Hu, Zexuan Liu, Jiechun Deng
In the spring of 2022, a stratospheric final warming (SFW) event occurred on March 19 at 10 hPa in the Northern Hemisphere, ranking the third earliest SFW event during 1979–2022. Meanwhile, Central Asia recorded the highest surface air temperature (SAT) in the ensuing April in recent 44 years. Based on the fifth generation reanalysis data from European Centre for Medium-Range Weather Forecasts, this
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Horizontal gravity disturbance vector in atmospheric dynamics Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-05-09 Peter C. Chu
All meteorological and oceanographic textbooks unintentionally define the Earth gravitation outside the solid Earth through treating the Earth as a point-mass located at the Earth center containing the entire Earth mass or assuming the Earth with uniform mass density. Combination of such simplified gravitational and centrifugal accelerations leads to the effective gravity geff. The geopotential surface
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Comparing water vapor transport during precipitation processes in the pre-flood period of South China and precipitation processes of typhoons in the post-flood period of South China: A case study Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-05-09 Guorong Ling
The typical precipitation processes in the pre-flood of South China and precipitation processes of typhoons in the post-flood period of South China have different water vapor transport characteristics. In this research, the water vapor transport characteristics of the representative precipitation cases in the two circumstances were compared using the fifth generation ECMWF reanalysis (ERA5) and Late
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Enhanced quality control procedure for in-situ timeseries of marine-meteorological data Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-05-06 Nunna Kameshwari, TVS Udayabhaskar, Krishna Kishore Osuri, Rajkumar Lakkimsetty, Rama Rao E. Pattabhi
This paper describes quality control procedures applied to marine-meteorological timeseries data. The entire quality control procedure consists of several steps varying from a simple range check test to a complex step of identifying outliers based on unsupervised classification. In contrast to the earlier quality control (QC) procedure, many improved QC tests have been included for internal consistency
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Using EEMD mode decomposition in combination with machine learning models to improve the accuracy of monthly sea level predictions in the coastal area of China Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-05-05 Haoyu Jin, Ruida Zhong, Moyang Liu, Changxin Ye, Xiaohong Chen
In the context of climate change and human activities, the global sea level is facing a rising trend, which poses serious challenges to the ecological environment of coastal areas. In this study, we selected the monthly mean sea level (MSL) time series of 9 stations in the coastal areas of China as the research object. First, we analyzed the spatiotemporal distribution characteristics of the monthly
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A coupled wave-hydrodynamical model to assess the effect of Mediterranean storms under climate change: The Calabaia case study Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-04-23 Riccardo A. Mel, Teresa Lo Feudo, Massimo Miceli, Salvatore Sinopoli, Mario Maiolo
Climate change will have an undeniable influence on coastal areas, resulting in increased rates of both sea level rise and storm-related impacts. In this context, it is crucial to estimate the local probable extreme sea wave conditions, to properly reproduce the sea state and the coastal hydrodynamic, and to investigate the effectiveness of sea defenses under sea level rise. This work describes the
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Outlining the impact of structural properties of a multilayered porous channel with oscillating velocities and fields Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-04-12 Sameh A. Alkharashi, Khaled Al-Hamad, Azizah Alrashidi
In this study, we analyze the multilayered viscous potential flow, in which the effects of primary and combined resonances on the interfacial stability due to oscillating velocities and a periodic field are carried out. Fluids are assumed to be immiscible and incompressible with different electrical and dynamic properties and move through a porous nature. Viscosity occurs at the surface through the
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Genetic algorithm and deep learning models compared for swell wave height prediction Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-04-05 Mourani Sinha, Susmita Biswas, Swadhin Banerjee
A comparative study has been conducted between genetic algorithm (GA) and deep learning models to predict swell wave heights in the Bay of Bengal (BOB) region. To simulate the required parameter SWAN (Simulating Waves Nearshore) model is integrated with daily 25 km wind from 2009 to 2018 for July and December separately representing the southwest and northeast monsoons respectively. For the BOB region
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Atmospheric forcing of the Hatteras coastal ocean during 2017–2018: The PEACH program Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-03-31 John Bane, Harvey Seim, Sara Haines, Lu Han, Ruoying He, Joseph Zambon
The Hatteras coastal ocean is centrally located along the east coast of the 48 contiguous United States, offshore of Cape Hatteras in a complex land/ocean/atmosphere region where major ocean currents of differing temperatures and salinities meet and interact, where the atmosphere fluctuates on a wide range of time scales, and where atmosphere-ocean interactions vary both spatially and temporally. The
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Role of low level wind to the heavy rainfall on the east coast of the Bay of Bengal during low pressure system Math. Comput. Simul. Dyn. Atmos. Ocean. (IF 1.7) Pub Date : 2023-03-29 S.M. Ahsan Habib, S.M. Quamrul Hassan, M. Nur Hossain Sharifee, M.A.K. Mallik, Fahmida Parvin