Article
Environmental Sciences
Nishi Srivastava, Nadege Blond
Summary: Meteorology plays a crucial role in regional aerosol concentration and distribution, which is closely linked to aerosol and their removal processes. This study investigates the impact of different microphysical and cumulus cloud parameterization schemes on the simulation of aerosol/pollutant concentrations using a chemical transport model. The results demonstrate significant differences in simulated meteorological parameters with different scheme combinations, highlighting the importance of selecting appropriate parameterization schemes for reliable modeling. Additionally, the study suggests that ensemble modeling may be preferable over single simulations.
ATMOSPHERIC ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Shibo Gao, Danlian Huang, Ningzhu Du, Chuanyou Ren, Haiqiu Yu
Summary: Ensemble dynamical downscaling of precipitation over China based on two different cumulus convective parameterization schemes showed superior performance in capturing the characteristics of precipitation patterns and improving the representation of both annual mean and interannual variations. The ensemble also demonstrated the highest skill in representing precipitation anomalies at regional scales for all subregions, as well as capturing the spatial patterns and temporal variations of dominant precipitation variability modes.
ATMOSPHERIC RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Greeshma M. Mohan, K. Gayatri Vani, Anupam Hazra, Chandrima Mallick, Hemantkumar S. Chaudhari, Samir Pokhrel, S. D. Pawar, Mahen Konwar, Subodh K. Saha, Subrata K. Das, Sachin Deshpande, Sachin Ghude, M. C. Barth, S. A. Rao, R. S. Nanjundiah, M. Rajeevan
Summary: The study evaluated the accuracy of simulating lightning flash counts based on different lightning parameterization schemes and Lightning Potential Index (LPI) in the WRF model, with validation using LDN observation data. Results indicated the robustness of DLP2 and promising prospects for lightning prediction in operational forecasting.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Guannan Ai, Shuzhou Wang, Hai Zhi
Summary: In this study, simulation experiments on heavy snowfall events in Xinjiang using the WRF model revealed the sensitivity of simulated snowfall intensity and range to different land surface parameterization schemes and microphysical parameterization schemes in various areas. The Noah-MP scheme performed reasonably in southern Xinjiang, while the Noah scheme showed advantages in northwestern Xinjiang. Three different microphysical schemes varied significantly in producing snowfall amount.
Article
Environmental Sciences
Mary-Jane M. Bopape, Hipolito Cardoso, Robert S. Plant, Elelwani Phaduli, Hector Chikoore, Thando Ndarana, Lino Khalau, Edward Rakate
Summary: The study shows that scale-aware schemes in tropical cyclone simulations help the model resolve most dynamics and result in higher weather system intensity. However, differences in predicting the path of Idai were found among different parameterization schemes.
Article
Meteorology & Atmospheric Sciences
Yu Wang, Hajigul Sayit, Ali Mamtimin, Jun Zhu, Chenglou Zhou, Wen Huo, Fan Yang, Xinghua Yang, Jiacheng Gao, Xueshang Zhao
Summary: This study evaluated the applicability of five PBL parameterization schemes in China's Gurbantunggut Desert, with the ACM2 model showing the best simulation ability and highest universality.
ATMOSPHERIC RESEARCH
(2021)
Article
Environmental Sciences
Bruno de Campos, Vanessa Silveira Barreto Carvalho, Enrique Vieira Mattos
Summary: This study investigates the performance of cloud microphysics and cumulus convection parameterizations in extreme precipitation forecasts over the Paraiba do Sul River Basin. High resolution simulations using the Weather Research and Forecasting (WRF) model were compared against ground observations, weather radar data, and satellite-based precipitation estimates. The simulations tend to underestimate precipitation, but show good time correlations and accurate simulation of the vertical profile of reflectivity.
Article
Meteorology & Atmospheric Sciences
Anusha Sathyanadh, Thara V. Prabha, Subharthi Chowdhuri, B. Balaji, E. A. Resmi, Anandakumar Karipot
Summary: Detailed observations from the CAIPEEX Phase III were used to validate six different planetary boundary layer schemes in the WRF model during a land depression in central India. The models simulated a slightly warmer and drier surface layer with strong winds during the wet event, and overestimated sensible heat flux and ground heat flux.
THEORETICAL AND APPLIED CLIMATOLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Lian Liu, Xinzhong Zhang, Cunbo Han, Yaoming Ma
Summary: The WRF model is used to predict air temperature and precipitation over the Tibet Autonomous Region of China. Different physics schemes in the WRF model are tested and compared to observational data and ECMWF forecasts. The RRTMG scheme shows the highest accuracy in predicting rainfall intensity, while the other schemes have varying performance.
ATMOSPHERIC RESEARCH
(2023)
Article
Environmental Sciences
Dongmei Xu, Xuewei Zhang, Hong Li, Haiying Wu, Feifei Shen, Aiqing Shu, Yi Wang, Xiaoran Zhuang
Summary: The study simulated the super typhoon Lekima that landed in Jiangsu and Zhejiang in August 2019 using numerical modeling. Different parameterization schemes were tested, showing that microphysical schemes affect the typhoon's track simulation, while surface physical schemes impact the intensity simulation. Assimilation of FY-3D MWHS-2 radiance data improved the initial model field, especially for humidity variables, leading to enhanced prediction skill for both typhoon track and intensity.
Article
Geosciences, Multidisciplinary
Nafiseh Pegahfar, Maryam Gharaylou, Mohammad Hossein Shoushtari
Summary: The research investigated the performance of various Cumulus Parameterization Schemes (CPSs) in reproducing rainfall amount and temperature in extreme precipitation events in Pol-Dokhtar, Iran. The study found that different CPSs showed varying performance based on the season, with KSAS-CPS and KF-CPS performing the best in winter/autumn and spring/summer rainfall events, respectively. Additionally, most CPSs exhibited a warm bias in simulating surface temperature patterns. Evaluation based on statistical metrics using gridded data revealed that Tiedtke-CPS had the highest correlation and the least mean absolute error in predicting space-averaged precipitation values.
Article
Environmental Sciences
Chao Deng, Yongxiang Chi, Yuansen Huang, Caiying Jiang, Lingjun Su, Hui Lin, Lizhi Jiang, Xiaojun Guan, Lu Gao
Summary: Global warming leads to more frequent and violent extreme weather events, causing severe natural disasters. The sensitivity of physical schemes in numerical weather prediction models for extreme precipitation is a significant challenge. The Weather Research and Forecast model (WRF) was employed to simulate heavy precipitation over the Poyang Lake Basin, and 27 combinations of multiphysics schemes were used to evaluate WRF performance. The results showed that WRF generally reproduced the spatial distribution of precipitation but underestimated in most areas and overestimated in the northeastern part of the basin.
FRONTIERS IN ENVIRONMENTAL SCIENCE
(2023)
Article
Meteorology & Atmospheric Sciences
Agostino N. Meroni, Kizito A. Oundo, Richard Muita, Mary-Jane Bopape, Thizwilondi R. Maisha, Martina Lagasio, Antonio Parodi, Giovanna Venuti
Summary: The study investigates the sensitivity of heavy rainfall event simulation in Sub-Saharan Africa to microphysical and planetary boundary layer schemes using a high-resolution NWP model. By validating numerical outputs against various sources, it is found that the planetary boundary layer scheme has a greater impact on heavy rainfall forecast location, while the microphysical scheme controls cloud-top temperature simulation. The best performances are achieved with a six-class single-moment microphysical scheme and a non-local planetary boundary layer scheme.
QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY
(2021)
Article
Computer Science, Interdisciplinary Applications
Youngjun Son, Emanuele Di Lorenzo, Jian Luo
Summary: An open-source urban flood model, WRF-Hydro-CUFA, is developed to assess flood risks in vulnerable coastal communities. It integrates a distributed hydrologic model, WRF-Hydro, to represent urban hydrologic processes, and a hydraulic flow solver, SWMM, for flood controls. The model is successfully applied to past flood events and implemented for operational flood predictions, providing an opportunity for calibration and improvement. Its application and enhancement processes are transferable to other coastal communities with limited access to flood models.
ENVIRONMENTAL MODELLING & SOFTWARE
(2023)
Article
Environmental Sciences
Ricard Segura, Alba Badia, Sergi Ventura, Joan Gilabert, Alberto Martilli, Gara Villalba
Summary: Urbanization and global warming are leading to more frequent heat wave events in cities. This study found that initializing soil properties using a high-resolution land data assimilation system can result in larger temperature diurnal range, but did not improve simulated temperatures compared to using low-resolution ERA5 data.
Article
Meteorology & Atmospheric Sciences
Elenio Avolio, Mario Marcello Miglietta
Summary: On July 28, 2019, a small rural area in central Italy was affected by an EF2 tornado, causing significant damage and one casualty. It is essential to conduct multi-scale integrated analysis on tornado phenomena in the area because it is one of the most affected regions in the Mediterranean.
ATMOSPHERIC RESEARCH
(2022)
Article
Environmental Sciences
Stefano Federico, Rosa Claudia Torcasio, Martina Lagasio, Barry H. Lynn, Silvia Puca, Stefano Dietrich
Summary: This paper presents the performance of a dynamic lightning forecast scheme for Italy, comparing the predictions against ground observational data. Results show the success of the method in forecasting lightning strikes, with the need for careful tuning of the forecast performance depending on the season.
Article
Environmental Sciences
Martina Lagasio, Lorenzo Campo, Massimo Milelli, Vincenzo Mazzarella, Maria Laura Poletti, Francesco Silvestro, Luca Ferraris, Stefano Federico, Silvia Puca, Antonio Parodi
Summary: Due to climate change, the frequency of extreme rainfall events globally is expected to increase, emphasizing the importance of improving forecast accuracy and risk communication. The SWING algorithm, combining NWP and radar-based nowcasting systems, shows promise in enhancing predictive capability, maintaining useful forecast timing, and integrating current forecast procedures.
Article
Environmental Sciences
Vincenzo Mazzarella, Massimo Milelli, Martina Lagasio, Stefano Federico, Rosa Claudia Torcasio, Riccardo Biondi, Eugenio Realini, Maria Carmen Llasat, Tomeu Rigo, Laura Esbri, Markus Kerschbaum, Marco-Michael Temme, Olga Gluchshenko, Antonio Parodi
Summary: The growth of air transport demand and the increasing frequency and intensity of extreme weather events will challenge air traffic management systems. This study investigates the use of satellite and in-situ observations to improve the predictive capability of these events and evaluates their suitability for air traffic management.
Article
Environmental Sciences
Umberto Rizza, Elenio Avolio, Mauro Morichetti, Luca Di Liberto, Annachiara Bellini, Francesca Barnaba, Simone Virgili, Giorgio Passerini, Enrico Mancinelli
Summary: In this study, the impact of Saharan dust outbreaks on radiative and cloud properties in the Mediterranean basin was investigated. Using the WRF-Chem model, the simulations show that mineral dust aerosols induce a net cooling effect on radiation and surface energy budget. The study emphasizes the need to consider dust effects in climate models and perform fully coupled simulations at a regional scale to improve climate predictions in the Mediterranean region.
Article
Environmental Sciences
Alessandra Mascitelli, Marco Petracca, Silvia Puca, Eugenio Realini, Andrea Gatti, Riccardo Biondi, Aikaterini Anesiadou, Luca Brocca, Gianfranco Vulpiani, Rosa Claudia Torcasio, Stefano Federico, Antonio Oriente, Stefano Dietrich
Summary: This study presents a comprehensive analysis of the hailstorms and floods that occurred on Lake Como, Italy in July 2021. By utilizing various observation sources and techniques, the research provides valuable insights into hydro-meteorological analysis. The findings demonstrate the effectiveness of combining innovative and operational techniques to improve the reliability of event descriptions.
Article
Environmental Sciences
Elenio Avolio, Mario Marcello Miglietta
Summary: An updated climatology study reveals that the central Tyrrhenian and southeastern regions of Italy are highly susceptible to EF1+ tornadoes. The study examines the atmospheric conditions using radiosounding observations and reanalysis data, showing that tornadoes often form on the eastern flank of approaching troughs with moderate shear/CAPE values. The study also highlights the presence of different types of tornado-spawning cells in the two regions, with multi-cells/linear systems in central Tyrrhenian and isolated supercells in southeastern Italy.
Article
Environmental Sciences
Zbynek Sokol, Jana Popova, Katerina Skripnikova, Rosa Claudia Torcasio, Stefano Federico, Ondrej Fiser
Summary: We processed five years of measurements (2018-2022) from the MIRA 35c radar at the Milesovka meteorological observatory to analyze cloud structure of thunderstorms and compare differences in measured data for cases with lightning discharges near and far from the radar. Results showed distinct differences in radar quantities between the two datasets.
Article
Environmental Sciences
Giuseppe Prete, Elenio Avolio, Vincenzo Capparelli, Fabio Lepreti, Vincenzo Carbone
Summary: We applied extreme value theory (EVT) to study daily precipitation and temperature extremes in the Calabria region, southern Italy, using long-term observational data from 1990 to 2020. The efficiency of EVT was assessed and two different methods were used: the peak-over-threshold approach for precipitation and the block-maxima approach for temperature. The methodologies proved suitable for describing daily extremes both quantitatively and in terms of the most affected areas. However, analysis using reanalysis fields showed limitations in accurately reconstructing extreme values but showed consistency in identifying the most affected areas. The results indicated an increasing trend in daily extreme rainfall and temperature, with specific areas in Calabria projected to experience up to 500 mm/day rainfall and maximum daily temperatures of 40 degrees C in the next 100 years. These findings provide valuable insight into the exacerbation of future extreme weather events associated with climate change effects.
Article
Engineering, Aerospace
Marco-Michael Temme, Olga Gluchshenko, Lennard Noehren, Matthias Kleinert, Oliver Ohneiser, Kathleen Muth, Heiko Ehr, Niklas Gross, Annette Temme, Martina Lagasio, Massimo Milelli, Vincenzo Mazzarella, Antonio Parodi, Eugenio Realini, Stefano Federico, Rosa Claudia Torcasio, Markus Kerschbaum, Laura Esbri, Maria Carmen Llasat, Tomeu Rigo, Riccardo Biondi
Summary: In the H2020 project SINOPTICA, an extension was made to an air traffic controller support system for organization of approaching traffic under severe weather conditions. Various developments were made including an arrival manager with trajectory calculation module, display variants for severe weather conditions, and a model for air traffic simulation. Meteorologically, new forecasting techniques were developed for tactical air traffic operations, incorporating radar-based nowcasting and numerical weather prediction. The integration of these advancements enables coordination and visualization of weather diversions in traffic situations.
Article
Environmental Sciences
Laura Esbri, Tomeu Rigo, Maria Carmen Llasat, Riccardo Biondi, Stefano Federico, Olga Gluchshenko, Markus Kerschbaum, Martina Lagasio, Vincenzo Mazzarella, Massimo Milelli, Antonio Parodi, Eugenio Realini, Marco-Michael Temme
Summary: Effective and time-efficient aircraft assistance and guidance in severe weather environments remains a challenge for air traffic control. Air navigation service providers could greatly benefit from specific and adapted meteorological information for the controller position to reduce workload induced by adverse weather. This study proposes a radar-based nowcasting algorithm providing meteorological information on convective weather near airports for air-traffic management assistance.
Article
Environmental Sciences
Rosa Claudia Torcasio, Mario Papa, Fabio Del Frate, Stefano Dietrich, Felix Enyimah Toffah, Stefano Federico
Summary: A destructive V-shaped thunderstorm occurred in Marche Region, Central Italy, resulting in 12 deaths and extensive property damage due to flooding caused by the small Misa River. The study analyzes the synoptic-scale conditions that caused this disaster, which can be traced back to the presence of tropical cyclone Danielle in the eastern Atlantic. The performance of the weather research and forecasting (WRF) model with lightning data assimilation (LDA) is evaluated by comparing the forecast with a control forecast without LDA. Results show that LDA has a significant and positive impact on precipitation and lightning forecast in this case.
Article
Green & Sustainable Science & Technology
Alessandra Mascitelli, Fernanda Prestileo, Eleonora Maria Stella, Eleonora Aruffo, Luisa Irazu Lopez Campos, Stefano Federico, Rosa Claudia Torcasio, Anna Corsi, Piero Di Carlo, Stefano Dietrich
Summary: The increasing and extreme weather phenomena in the Mediterranean basin have broader effects on population, structures, and infrastructure. This study focuses on the impact of extreme weather events on the unique architecture of the Italian Adriatic coast called "trabocchi." The results highlight the importance of studying environmental changes, planning concrete actions, and implementing social measures to protect this cultural heritage.
Article
Green & Sustainable Science & Technology
Alessandra Mascitelli, Fernanda Prestileo, Alberico Sonnessa, Stefano Federico, Rosa Claudia Torcasio, Roberta Ravanelli, Riccardo Biondi, Stefano Dietrich
Summary: The study investigates the potential of the Alberobello site in Italy to respond to intense weather phenomena. The research highlights the importance of cultural heritage in mitigating natural hazards.
Proceedings Paper
Computer Science, Information Systems
Stefano Federico, Rosa Claudia Torcasio, Alessandra Mascitelli, Fabio Del Frate, Stefano Dietrich
Summary: The regions close to the sea are frequently affected by meteorological systems that form over the sea and then move towards the land, posing risks to people's safety and requiring accurate prediction of ship-routes. The scarcity of meteorological observations over the sea and the absence of orographic triggering mechanisms make it challenging to forecast these storms. Satellite observations play a crucial role in providing data over both land and sea, aiding the prediction of convective storms.
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2022 WORKSHOPS, PART IV
(2022)
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)