Article
Geosciences, Multidisciplinary
Daniel M. Gilford
Summary: Potential intensity (PI) is the maximum speed limit of a tropical cyclone, useful for evaluating and predicting cyclone intensity. The pyPI package develops the PI algorithm in Python, providing a flexible and validated tool for researchers.
GEOSCIENTIFIC MODEL DEVELOPMENT
(2021)
Article
Geosciences, Multidisciplinary
Hyeong-Seog Kim, Doo-Sun R. Park, Chang-Hoi Ho, Il-Ju Moon, Johnny C. L. Chan
Summary: This study reveals the significant impact of the Atlantic Multidecadal Oscillation on the latitude of lifetime maximum intensity location of Atlantic tropical cyclones. The total latitude variation is influenced by both environmental conditions and track pattern changes, with the negative anomaly of potential intensity being the primary driver for the equatorward migration of pure track latitude.
GEOPHYSICAL RESEARCH LETTERS
(2022)
Article
Meteorology & Atmospheric Sciences
Dandan Tao, Peter Jan van Leeuwen, Michael Bell, Yue Ying
Summary: Through the study of Hurricane Patricia, it was found that assimilating observational data significantly improves the prediction of rapid intensification. Analysis of observation impacts showed that deep-layer dropsonde observations have the greatest effect on the circulation of the entire troposphere. Verification of ensemble forecasts revealed that errors in the early vortex structure can lead to inaccuracies in later stage predictions.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2022)
Article
Engineering, Electrical & Electronic
Weicheng Ni, Ad Stoffelen, Kaijun Ren, Xiaofeng Yang
Summary: Spaceborne microwave sensors are widely used for tropical cyclone monitoring, but there are still challenges in obtaining accurate intensity estimates due to issues such as blurred inner-core structures and limited spatial-temporal coverage. This study proposes a new technique to overcome these challenges and provides more accurate TC intensity estimates from scatterometer data.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Environmental Sciences
Woojeong Lee, Sung-Hun Kim, Il-Ju Moon, Michael M. M. Bell, Isaac Ginis
Summary: Understanding and quantifying air-sea exchanges of enthalpy and momentum fluxes are crucial for predicting tropical cyclone intensity. This study presents a new parameterization method for estimating these fluxes at extreme wind speeds, which can help improve TC intensity prediction.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geochemistry & Geophysics
Zhao Chen, Xingxing Yu
Summary: The article proposes a novel tensor-based convolutional neural network (TCNN) model for tropical cyclone (TC) intensity estimation, demonstrating high accuracy and functionality of the network and its superiority over other TC intensity estimation methods based on CNN.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2021)
Article
Meteorology & Atmospheric Sciences
Kexin Chen, Guanghua Chen, Donglei Shi
Summary: This study reexamines the correlation between the size and intensity of tropical cyclones over the western North Pacific. It reveals a relatively high positive correlation based on individual cyclones, which is obscured when considering all cyclone records. The weakened correlation is primarily due to the diversity in size change relative to the same intensity change among cyclones. The study also proposes two mechanisms that explain the differences in the correlation coefficient.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Environmental Sciences
Rui Chen, Ralf Toumi, Xinjie Shi, Xiang Wang, Yao Duan, Weimin Zhang
Summary: Tropical cyclones are dangerous weather events, and accurate monitoring and forecasting can provide important early warning for reducing loss. However, studying tropical cyclone intensity is still challenging. This paper proposes an adaptive learning approach to correct the intensity of tropical cyclones.
Article
Environmental Sciences
Sung-Hun Kim, Il-Ju Moon, Seong-Hee Won, Hyoun-Woo Kang, Sok Kuh Kang
Summary: The study used a decision-tree algorithm to reduce the predictand variance for tropical cyclones in the western North Pacific, finding that pre-existing ocean thermal structures along the track and the latitude of a tropical cyclone’s position play significant roles in determining its intensity.
Article
Environmental Sciences
Yuan Gao, Jie Zhang, Jian Sun, Changlong Guan
Summary: The study proposed a method to retrieve intensity parameters of tropical cyclones, such as surface maximum wind speed, TC fullness, and central surface pressure, using SAR data. By modifying the geophysical model function and utilizing wind speed measurements, more accurate wind speed and pressure retrieval results were achieved.
Review
Geosciences, Multidisciplinary
Joshua Studholme, Alexey Fedorov, Sergey K. Gulev, Kerry Emanuel, Kevin Hodges
Summary: The effects of climate change are causing hurricanes and typhoons to track further poleward. This shift poses profound risks to the planet's most populous regions. Previous studies have shown contradictory predictions for TC latitudes, but simulations and observations suggest that TCs may again migrate poleward in response to anthropogenic greenhouse gas emissions in the twenty-first century.
Article
Environmental Sciences
Sung-Hun Kim, Hyoun-Woo Kang, Il-Ju Moon, Sok Kuh Kang, Pao-Shin Chu
Summary: The air-sea drag coefficient is closely related to tropical cyclone intensification. Research shows that a decrease in the drag coefficient in high winds can increase net energy and potentially induce bimodality in the lifetime maximum intensity of the cyclones.
FRONTIERS IN MARINE SCIENCE
(2022)
Article
Geosciences, Multidisciplinary
Alexander J. DesRosiers, Michael M. Bell, Philip J. Klotzbach, Michael S. Fischer, Paul D. Reasor
Summary: As a tropical cyclone intensifies, its tangential wind field expands vertically and increases in magnitude. Observations and modeling show that vortex height is an important characteristic of tropical cyclones. Calculation of the height of the vortex (HOV) using kinematic analyses provides insights into the intensity and structure of observed storms. Fixed and dynamic threshold-based techniques are used to determine the HOV, with the dynamic metric showing reduced dependence on intensity and correlating with subsequent changes in pressure.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Charlie C. F. Lok, Johnny C. L. Chan, Ralf Toumi
Summary: The study indicates that an atmosphere-ocean-wave coupled model system, which includes ocean and wave models, can more accurately simulate the climatological characteristics of tropical cyclone intensity in the South China Sea. Additionally, comparisons between simulations with and without ocean and wave models show differential responses of sea surface temperature to various TC characteristics, highlighting the importance of using a coupled model system for accurately simulating the evolution of TC structure.
ADVANCES IN ATMOSPHERIC SCIENCES
(2022)
Article
Geosciences, Multidisciplinary
Dol Raj Chalise, Anantha Aiyyer, A. Sankarasubramanian
Summary: The study quantified the contribution of tropical cyclones to seasonal streamflow and precipitation in the US Southeast and Southcentral regions, finding that TCs account for 12% of streamflow and 6% of precipitation during the hurricane season. Florida, North Carolina, and Louisiana have the highest occurrences of TC-generated precipitation and streamflow. Additionally, TCs are associated with 5%-8% of peak-over threshold precipitation events in coastal areas.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Prashant Kumar, Satya P. Ojha, Randhir Singh, C. M. Kishtawal, P. K. Pal
THEORETICAL AND APPLIED CLIMATOLOGY
(2016)
Article
Meteorology & Atmospheric Sciences
Prashant Kumar, C. M. Kishtawal, P. K. Pal
THEORETICAL AND APPLIED CLIMATOLOGY
(2016)
Article
Meteorology & Atmospheric Sciences
Prashant Kumar, Sanjib K. Deb, C. M. Kishtawal, P. K. Pal
THEORETICAL AND APPLIED CLIMATOLOGY
(2017)
Article
Geochemistry & Geophysics
Bipasha Paul Shukla, C. M. Kishtawal, Pradip K. Pal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2014)
Article
Geochemistry & Geophysics
Sanjeev Kumar Singh, Neeru Jaiswal, C. M. Kishtawal, Randhir Singh, P. K. Pal
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2014)
Article
Remote Sensing
Prashant Kumar, S. K. Deb, R. K. Gangwar, B. Simon, P. K. Pal
INTERNATIONAL JOURNAL OF REMOTE SENSING
(2014)
Article
Environmental Sciences
S. K. Deb, Steve Wanzong, C. S. Velden, Inderpreet Kaur, C. M. Kishtawal, P. K. Pal, W. P. Menzel
JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
(2014)
Article
Meteorology & Atmospheric Sciences
P. K. Thapliyal, M. V. Shukla, J. H. Bisht, P. K. Pal, R. R. Navalgund
METEOROLOGICAL APPLICATIONS
(2014)
Article
Meteorology & Atmospheric Sciences
S. K. Deb, C. M. Kishtawal, Inderpreet Kaur, P. K. Pal, A. S. Kiran Kumar
METEOROLOGICAL APPLICATIONS
(2015)
Article
Meteorology & Atmospheric Sciences
Inderpreet Kaur, S. K. Deb, C. M. Kishtawal, P. K. Pal, Raj Kumar
THEORETICAL AND APPLIED CLIMATOLOGY
(2015)
Article
Meteorology & Atmospheric Sciences
Inderpreet Kaur, Prashant Kumar, S. K. Deb, C. M. Kishtawal, P. K. Pal, Raj Kumar
THEORETICAL AND APPLIED CLIMATOLOGY
(2015)
Article
Meteorology & Atmospheric Sciences
S. K. Deb, Inderpreet Kaur, C. M. Kishtawal, P. K. Pal
THEORETICAL AND APPLIED CLIMATOLOGY
(2015)
Article
Geochemistry & Geophysics
Sukanta Kumar Das, Sanjib Kumar Deb, C. M. Kishtawal, Pradip Kumar Pal
PURE AND APPLIED GEOPHYSICS
(2015)
Article
Geography
C. Mahesh, S. Prakash, R. M. Gairola, S. Shah, P. K. Pal
GEOGRAPHICAL RESEARCH
(2014)
Article
Oceanography
Bhasha M. Mankad, Rashmi Sharma, Sujit Basu, P. K. Pal
INDIAN JOURNAL OF GEO-MARINE SCIENCES
(2014)
Article
Meteorology & Atmospheric Sciences
Vittal Hari, Oldrich Rakovec, Wei Zhang, Akash Koppa, Matthew Collins, Rohini Kumar
Summary: This study reveals a significant association between the Atlantic Meridional Mode (AMM) and temperature variability in the eastern European region. Positive AMM phase leads to a significant increase in temperature, while negative phase has the opposite effect. The AMM modulates the temperature through planetary-scale Rossby waves and anomalous anticyclone circulation.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Fang Cao, Yi-Xuan Zhang, Yan-Lin Zhang, Wen-Huai Song, Yu-Xian Zhang, Yu-Chi Lin, Chaman Gul, Md. Mozammel Haque
Summary: This study investigates the influences of continental emissions on marine aerosols in the Yellow Sea and Bohai Sea of China. The results show that biomass burning is the major contributor to organic aerosols in these marine atmospheres.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chenxi Liao, Wenhua Gao, Lanzhi Tang, Chengyin Li
Summary: Based on ERA5 data, this study analyzed the characteristics of four hydrometeors and their relationship with precipitation intensity in central eastern China and the northwest Pacific Ocean. The results show that stratiform precipitation is dominated by ice processes, while convective precipitation has comparable contributions from water and ice processes.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Hsiang-Yu Huang, Sheng-Hsiang Wang, William K. M. Lau, Shih-Yu Simon Wang, Arlindo M. da Silva
Summary: This study presents a diagnostic analysis of the interannual variation of regional climate and its impact on biomass burning aerosol emissions in peninsular Southeast Asia (PSEA). It identifies four climatic factors governing the emission and transport of PSEA biomass burning aerosols and reveals a significant correlation with the El Nin similar to o-Southern Oscillation (ENSO). The results contribute to a better understanding and improved model simulations of aerosol-climate interactions in South and Southeast Asian monsoon regions.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Deniz H. Diren-Ustuen, Yurdanur S. Unal, Simge Irem Bilgen, Cemre Yuruk Sonuc, Sahar Sodoudi, Caner Guney, Ahmet Ozgur Dogru, Selahattin Incecik
Summary: This is the first comprehensive study to examine how urbanization affects the microclimate of Istanbul using the urban climate model MUKLIMO_3. The findings suggest that changing the albedo of roofs and implementing green-roofs can significantly reduce air temperatures in urban areas.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Yetong Li, Yan Xia, Fei Xie, Yingying Yan
Summary: Surface ozone, a major air pollutant, is influenced by stratosphere-troposphere exchange (STE) which contributes to both the decrease and increase of surface ozone in the Southern and Northern Hemispheres, respectively. Additionally, global warming is expected to worsen surface ozone pollution in the future.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Na Li, Ping Zhao, Changyan Zhou
Summary: In this study, the daily sensible and latent heat fluxes in the Tibetan Plateau are estimated using the maximum entropy production model. The results show good performance of the model and reveal the spatial distribution and trends of surface heat fluxes in the region.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wenqing Lin, Huopo Chen, Weiqi Wang, Dawei Zhang, Fan Wang, Wuxia Bi
Summary: It is found in this study that anthropogenic activities may significantly contribute to the decrease in snowfall days, light snowfall, and light snowfall days across Eurasia, with greenhouse gas emissions being the main driver. However, detection of human influence is challenging for intense snowfall.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Chongxun Mo, Xingbi Lei, Xixi Mo, Ruli Ruan, Gang Tang, Lingguang Li, Guikai Sun, Changhao Jiang
Summary: Reliable precipitation information is crucial for scientific and operational applications. Open-access gridded precipitation products (OGPPs) are important sources due to their continuous spatiotemporal coverage. This study proposes a methodology to comprehensively compare the accuracies and stabilities of ten different OGPPs, particularly in mountainous basins. The results show high accuracy but unstable performance of all OGPPs, with multi-source fusion-type products offering better stability and accuracy. Multi-source weighted-ensemble precipitation and climate prediction center morphing method products exhibit the best comprehensive performance.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Jingzhuo Wang, Hanbin Zhang, Jing Chen, Guo Deng, Yu Xia
Summary: In this study, a new scale-blending technique was proposed to evaluate the impact of multiscale initial perturbations on the CMA-CPEPS. The results showed that the blended scheme improved the dispersion of dynamical variables and increased the ensemble spread of precipitation, leading to reduced forecast error.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Ziyi Song, Botao Zhou, Xinping Xu, Zhicong Yin
Summary: This study, based on reanalysis data from 1980 to 2019, reveals that the relationship between autumn sea ice concentration in the Barents-Kara Seas (BKSIC) and subsequent winter North Atlantic Oscillation (NAO) underwent an interdecadal weakening in the early 1990s. The weakening can be attributed to the decrease in the interannual variability of BKSIC, which leads to a discrepancy in the tropospheric warming. In the former period (1980-1993), the decrease in autumn BKSIC enhances tropospheric warming and weakens the circumpolar westerly, resulting in a negative NAO phase. However, in the latter period (1994-2019), the smaller interannual variability of BKSIC weakens its influence on the tropospheric temperature, diluting the relationship with the subsequent winter NAO.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Wogu Zhong, Zhiwei Wu
Summary: Significant phase shifts in winter surface air temperature (SAT) anomalies have occurred in East Asia in recent years, leading to detrimental effects on socio-economic activities. In this study, the fourth principal mode of month-to-month SAT variations over EA in winter was identified, representing subseasonal SAT reversals over the mid-high latitudes of EA during late winter. The formation of this mode is accompanied by stratospheric temperature anomalies over eastern Siberia-Alaska in January.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Weiqian Ji, Leiku Yang, Xinyao Tian, Muhammad Bilal, Xin Pei, Yu Zheng, Xiaofeng Lu, Xiaoqian Cheng
Summary: This study systematically evaluated the AOD products of the DB and MAIAC algorithms based on MODIS over bright surfaces, and investigated the underestimation of AOD affected by various factors. The results indicated that the MAIAC products performed better than DB, and the C6.1 MAIAC showed slight improvement compared to C6.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Tao Wang, Xiaohua Gou, Xuejia Wang, Hongwen Liu, Fei Xie
Summary: This study finds that the meridional position of subtropical jet anomalies has shifted equatorward in both the Northern Hemisphere and Southern Hemisphere since the 1960s due to the influence of ENSO. The changes in tropical SST anomalies associated with ENSO contribute to this equatorward shift.
ATMOSPHERIC RESEARCH
(2024)
Article
Meteorology & Atmospheric Sciences
Alireza Ghaderi Bafti, Arman Ahmadi, Ali Abbasi, Hamid Kamangir, Sadegh Jamali, Hossein Hashemi
Summary: Actual evapotranspiration (ETa) plays a crucial role in the water and energy cycles of the earth. This study develops an automated deep learning model for accurate estimation of ETa using image processing, architectural design, and hyper-parameter tuning. The proposed model shows promising results in different climatic regions, highlighting its potential for enhanced atmospheric research.
ATMOSPHERIC RESEARCH
(2024)