Hossein Farjami
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Hossein Farjami has a total of 7 co-authors. Here are the top co-authors by number of shared publications:
A. Fazl Kazemi
I.R. of Iran Meteorological Organization Tehran Iran
1 shared publicationAkbar Rashidi Ebrahim Hesari
Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran
1 shared publicationAlireza Hakimi
Iranian National Institute for Oceanography and Atmospheric Science, National Centre for Antarctic Research (NCAR), Tehran, Iran
1 shared publicationBushehr Persian Gulf Center For Oceanography
1 shared publicationSadegh Yari
RASTECH GmbH Engineering Company, Heidelberg, Germany
1 shared publicationSajad Andi
Faculty of Natural Resources and Marine Sciences, Tarbiat Modares University, Noor, Iran
1 shared publication
Latest Publications
- Open Access
- 8 October 2025
- Published by Springer Nature in Scientific Reports
- Vol. 15 (1) , 1-12
Enhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering
Accurate prediction of significant wave height (SWH) in the Southern Ocean remains a critical challenge due to extreme weather conditions and limited observational data, impacting maritime safety and climate research. This study introduces an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized with subtractive clustering for SWH forecasting, with its novelty lying in the integration of sequential time-lagged inputs and automated fuzzy rule generation to model complex nonlinear wave dynamics. The model leverages marine meteorological variables, including mean sea level pressure (MSLP), surface wind speed (SWS), and historical SWH records, using three consecutive time steps. High-quality data from MetOcean Spotter buoys and ERA5 reanalysis, collected at 3-hour intervals during 2019–2020, were divided into training (70%), testing (30%), and an independent prediction set (250 samples). Compared to conventional regression techniques such as neural networks, support vector machines, and Gaussian process regression, the ANFIS model demonstrated superior performance, achieving a root mean square error (RMSE) of 0.5142 m and a coefficient of determination (R²) of 0.8948. With efficient computational performance (65 milliseconds per prediction) and interpretable fuzzy rules, this model offers a robust tool for operational wave forecasting in polar regions, advancing maritime safety and enhancing understanding of ocean-atmosphere interactions.
- 8 October 2025
- Published by Springer Nature in Scientific Reports
- Vol. 15 (1) , 1-12
Open AccessEnhanced significant wave height prediction in the Southern Ocean using an ANFIS model optimized with subtractive clustering
Accurate prediction of significant wave height (SWH) in the Southern Ocean remains a critical challenge due to extreme weather conditions and limited observational data, impacting maritime safety and climate research. This study introduces an Adaptive Neuro-Fuzzy Inference System (ANFIS) optimized with subtractive clustering for SWH forecasting, with its novelty lying in the integration of sequential time-lagged inputs and automated fuzzy rule generation to model complex nonlinear wave dynamics. The model leverages marine meteorological variables, including mean sea level pressure (MSLP), surface wind speed (SWS), and historical SWH records, using three consecutive time steps. High-quality data from MetOcean Spotter buoys and ERA5 reanalysis, collected at 3-hour intervals during 2019–2020, were divided into training (70%), testing (30%), and an independent prediction set (250 samples). Compared to conventional regression techniques such as neural networks, support vector machines, and Gaussian process regression, the ANFIS model demonstrated superior performance, achieving a root mean square error (RMSE) of 0.5142 m and a coefficient of determination (R²) of 0.8948. With efficient computational performance (65 milliseconds per prediction) and interpretable fuzzy rules, this model offers a robust tool for operational wave forecasting in polar regions, advancing maritime safety and enhancing understanding of ocean-atmosphere interactions.
- 12 February 2024
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Atmospheres
- Vol. 129 (4)
Spatiotemporal Patterns of Polar Low Activity Over the Southern Ocean
Polar Lows (PLs) are intense maritime meso‐scale cyclones that form over cold ocean regions in high latitudes. They affect the weather and climate of Antarctica and the surrounding ocean by producing storms with near or above gale‐force winds and heavy precipitation. This study investigated PLs in the Southern Ocean (SO) between 60 and 85°S from 2000 to 2020, using a tracking algorithm applied to the ERA5, CCMP, and NCEP/NCAR data sets. The results showed that PLs are most frequent in winter (JJA) and least frequent in summer (DJF), with a maximum in 2018 and a minimum in 2014. The results also show that PLs are concentrated over the Antarctic Circumpolar Current (ACC) region, along the Ross Sea, the Amundsen Sea, and the Bellingshausen Sea from April to October. These regions have strong thermal gradients and orographic forcing that enhance cyclogenesis. Our research reveals that there were 1,073 occurrences of PLs during the study period, with an average 51 cases per year. The study also explored the influence of sea surface temperature anomalies, sea surface currents, and MCAOs Index on PL genesis. The Amundsen‐Bellingshausen Seas Low (ABSL) and Pacific Ocean currents have a considerable effect on PLs developing in the SO. This research provides valuable information on PLs in the SO, which are poorly observed and understood. However, more research is required to understand how these phenomena are evolving in the present, and how they will change in the future.
- 12 February 2024
- Published by American Geophysical Union (AGU) in Journal of Geophysical Research: Atmospheres
- Vol. 129 (4)
Spatiotemporal Patterns of Polar Low Activity Over the Southern Ocean
Polar Lows (PLs) are intense maritime meso‐scale cyclones that form over cold ocean regions in high latitudes. They affect the weather and climate of Antarctica and the surrounding ocean by producing storms with near or above gale‐force winds and heavy precipitation. This study investigated PLs in the Southern Ocean (SO) between 60 and 85°S from 2000 to 2020, using a tracking algorithm applied to the ERA5, CCMP, and NCEP/NCAR data sets. The results showed that PLs are most frequent in winter (JJA) and least frequent in summer (DJF), with a maximum in 2018 and a minimum in 2014. The results also show that PLs are concentrated over the Antarctic Circumpolar Current (ACC) region, along the Ross Sea, the Amundsen Sea, and the Bellingshausen Sea from April to October. These regions have strong thermal gradients and orographic forcing that enhance cyclogenesis. Our research reveals that there were 1,073 occurrences of PLs during the study period, with an average 51 cases per year. The study also explored the influence of sea surface temperature anomalies, sea surface currents, and MCAOs Index on PL genesis. The Amundsen‐Bellingshausen Seas Low (ABSL) and Pacific Ocean currents have a considerable effect on PLs developing in the SO. This research provides valuable information on PLs in the SO, which are poorly observed and understood. However, more research is required to understand how these phenomena are evolving in the present, and how they will change in the future.
- 17 November 2020
- Published by Taylor & Francis in Remote Sensing Letters
- Vol. 12 (2) , 190-198
Detection of internal waves in the Persian Gulf
Identification and characteristics of Internal Waves (IWs) are widely used in a variety of industries, including shipbuilding, maritime, as well as oil and marine engineering. In this study, IWs have been detected using field measurement and satellite remote sensing in the Persian Gulf during the period 2000–2015. In order to identify the potential areas for IWs after vertical changes in the physical parameters such as temperature, salinity, and sigma-T (σT) resulted by field measurements, the areas where high stratifications of seawater were identified. Satellite images corresponding to the identified areas were then prepared and the required modifications were made to the images. IWs were then manifested by such images in different parts of the study area. For the first time, a comprehensive map of the occurrence of IWs has been prepared and presented using Landsat 7 and 8, Sentinel-1 and Sentinel-2 images. Then, spatio-temporal analysis of IWs indicates that the density of them decreases from the Strait of Hormuz in the east of the Persian Gulf to the Khowr-e-Musa estuary in the west. In addition, IWs mainly occur in the warm season, from early March to September and weaken or disappear in the cold season in the Persian Gulf.
- 17 November 2020
- Published by Taylor & Francis in Remote Sensing Letters
- Vol. 12 (2) , 190-198
Detection of internal waves in the Persian Gulf
Identification and characteristics of Internal Waves (IWs) are widely used in a variety of industries, including shipbuilding, maritime, as well as oil and marine engineering. In this study, IWs have been detected using field measurement and satellite remote sensing in the Persian Gulf during the period 2000–2015. In order to identify the potential areas for IWs after vertical changes in the physical parameters such as temperature, salinity, and sigma-T (σT) resulted by field measurements, the areas where high stratifications of seawater were identified. Satellite images corresponding to the identified areas were then prepared and the required modifications were made to the images. IWs were then manifested by such images in different parts of the study area. For the first time, a comprehensive map of the occurrence of IWs has been prepared and presented using Landsat 7 and 8, Sentinel-1 and Sentinel-2 images. Then, spatio-temporal analysis of IWs indicates that the density of them decreases from the Strait of Hormuz in the east of the Persian Gulf to the Khowr-e-Musa estuary in the west. In addition, IWs mainly occur in the warm season, from early March to September and weaken or disappear in the cold season in the Persian Gulf.
- 1 March 2020
- Published by CMV Verlag in Journal of Oceanography
- Vol. 11 (41) , 11-24
Field Measurements of Velocity and Physical Parameters of Seawater and Numerical Modeling of Brine Discharge from the Desalination Plant in the Southeastern Coast of Kish Island-Iran
Temperature, salinity, water-level and current speed around brine outflow of desalination site in the Southeastern Coast of Kish Island is investigated. The dominant current is east-west tidal current with a weak residual current which affects current field partially southward. The brine discharge driven hypersaline pollution dispersion is simulated applying MIKE ...
- 1 March 2020
- Published by CMV Verlag in Journal of Oceanography
- Vol. 11 (41) , 11-24
Field Measurements of Velocity and Physical Parameters of Seawater and Numerical Modeling of Brine Discharge from the Desalination Plant in the Southeastern Coast of Kish Island-Iran
Temperature, salinity, water-level and current speed around brine outflow of desalination site in the Southeastern Coast of Kish Island is investigated. The dominant current is east-west tidal current with a weak residual current which affects current field partially southward. The brine discharge driven hypersaline pollution dispersion is simulated applying MIKE ...