Article
Engineering, Civil
Peixi Li, Zhongbo Yu, Peng Jiang, Changxian Wu
Summary: The frequency of extreme precipitation is increasing globally, posing a significant threat to human and natural systems. Understanding the spatiotemporal evolution of extreme precipitation on a regional scale is critical. The study found that extreme precipitation events in the Yangtze River basin have been increasing in frequency and spatial coverage since 1970, with potential relationships with large-scale climate indices such as ENSO and PDO.
JOURNAL OF HYDROLOGY
(2021)
Article
Geosciences, Multidisciplinary
Salil Mahajan, Linsey S. Passarella, Qi Tang, Noel D. Keen, Peter M. Caldwell, Luke P. van Roekel, Jean-Christophe Golaz
Summary: Using the novel ENSO longitudinal index (ELI) to account for the diversity in El Nino Southern Oscillation (ENSO)'s spatial pattern, we assess the teleconnections of ENSO to US winter precipitation extremes simulated by seven global high-resolution Earth System Models (ESM). The high-resolution models generally outperform the low-resolution models in simulating the observed increase in precipitation extremes over Southwest US and Southeast US during El Nino events defined by ELI. The stronger ENSO-dependence in these models is attributed to improved simulation of moisture flux and storm track activity in the regions. However, the high-resolution models tend to overestimate the increase in precipitation extremes over the Pacific-Northwest during La Nina events, which is associated with bias in moisture transport and enhanced vertical mass fluxes in these models.
GEOPHYSICAL RESEARCH LETTERS
(2023)
Article
Meteorology & Atmospheric Sciences
Meredith A. Fish, James M. Done, Daniel L. Swain, Anna M. Wilson, Allison C. Michaelis, Peter B. Gibson, F. Martin Ralph
Summary: Successive atmospheric river (AR) events, known as AR families, can result in prolonged and elevated hydrological impacts compared to single AR events. This study introduces a new catalog of AR family events affecting California, identifying distinct large-scale patterns associated with AR families, some of which are strongly related to phases of the El Nino-Southern Oscillation. The potential predictability of AR families, especially on subseasonal to seasonal time scales, may be enhanced compared to single AR events.
JOURNAL OF CLIMATE
(2022)
Article
Water Resources
Sarmistha Singh, Ash Abebe, Puneet Srivastava, Indrajeet Chaubey
Summary: This study assessed the effects of large-scale oceanic-atmospheric oscillations on streamflow levels in the contiguous United States. The results identified new significant teleconnections between ENSO, PDO, AMO, NAO and streamflows. The study provides useful information for forecasting water resources in the region.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Geosciences, Multidisciplinary
M. Midhun, S. Stevenson, J. E. Cole
Summary: This study uses a model to investigate the global expression of modal variability in stalagmite records and finds that there is spatial correlation between δO-18(spel) and modal signatures. However, significant changes in modal variance only have a modest effect on individual δO-18(spel) variance. In particular, a network of stalagmite records spanning the Pacific significantly enhances the reconstructability of ENSO variance.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Engineering, Civil
Hao Chen, Ramesh S. V. Teegavarapu, Yue-Ping Xu
Summary: This study examines the impact of climate variability on baseflows, finding that PDO and AMO have the largest influence while ENSO has a smaller impact. The cool phase of PDO significantly affects baseflows in certain regions of the U.S., and higher baseflow median values are observed during NAO warm/cool phase and El Nino periods at some stations. The study also notes that the central U.S. is influenced by the NAO cool phase/El Nino, while the southeastern U.S. is affected by the NAO warm phase/La Nina.
WATER RESOURCES MANAGEMENT
(2021)
Article
Meteorology & Atmospheric Sciences
Juliana de Sousa Santos, Jose Francisco de Oliveira-Junior, Micejane da Silva Costa, Kelvy Rosalvo Alencar Cardoso, Munawar Shah, Rasim Shahzad, Luis Felipe Francisco Ferreira da Silva, William Max de Oliveira Romao, Sudhir Kumar Singh, David Mendes, Iwldson Guilherme da Silva Santos, Rosiberto Salustiano da Silva Junior
Summary: This study evaluated the effects of El Nino-Southern Oscillation on rainfall extremes in the Northeast of Brazil. The results showed significant interannual variability in rainfall due to El Nino and La Nina phases, and the influence of physiography and meteorological systems on rainfall distribution.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2023)
Article
Meteorology & Atmospheric Sciences
Renata G. Tedeschi, Gilvan Sampaio
Summary: This study analyzed the impact of ENSO intensity on South American precipitation and found that stronger sea surface temperature anomalies in the equatorial eastern Pacific resulted in stronger atmospheric responses. South American precipitation patterns varied in intensity, and the anomaly of weak El Nino and La Nina events was stronger in autumn than in summer.
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2022)
Article
Multidisciplinary Sciences
Ravi Kumar Guntu, Ankit Agarwal
Summary: The study investigates the historical variations of compound dry and hot extremes and compound wet and cold extremes during the Indian summer monsoon period. Results show an increase or decrease in the frequency of compound extremes in specific regions of India in recent years.
SCIENTIFIC REPORTS
(2021)
Article
Meteorology & Atmospheric Sciences
Xiaofan Li, Zeng-Zhen Hu, Ruiqiang Ding, Yunyun Liu
Summary: This study examines the correlations between eleven ENSO indices and global precipitation and surface temperature. The results show that Nino3.4 and relative Nino3.4 indices are the strongest for capturing ENSO's impact on global precipitation, while Nino4 and Nino3.4 indices are the strongest for capturing ENSO's influence on surface temperature variations. The study also highlights the regional differences in the relationship between ENSO indices and climate variables.
Article
Environmental Sciences
Xin Li, Ke Zhang, Pengrui Gu, Haotian Feng, Yifan Yin, Wang Chen, Bochang Cheng
Summary: The study reveals that the average and extreme precipitation intensities, as well as the frequency of extreme heavy precipitation, have significantly increased in the Yangtze River Basin, while precipitation frequency and maximum duration of wet spells have decreased. Furthermore, global warming, ENSO, and local effects are significant driving factors influencing the spatiotemporal variability of precipitation extremes in the region.
SCIENCE OF THE TOTAL ENVIRONMENT
(2021)
Article
Multidisciplinary Sciences
Felix M. Strnad, Jakob Schloer, Ruth Geen, Niklas Boers, Bedartha Goswami
Summary: This study characterizes the propagation modes of rainfall extremes in the Indo-Pacific region driven by the Boreal Summer Intraseasonal Oscillation. Pacific sea surface temperatures are found to modulate the propagation of the oscillation, influencing the occurrence of extreme rainfall. The study also demonstrates the potential for early warning of rainfall extremes in the region up to four weeks in advance.
NATURE COMMUNICATIONS
(2023)
Article
Meteorology & Atmospheric Sciences
Yating Xiong, Xuejuan Ren
Summary: The atmospheric river (AR) significantly influences wintertime precipitation over the pan-North Pacific, especially in the core region, with AR group and non-AR group precipitation originating from different sources. Additionally, AR frequency varies notably during El Nino and La Nina years.
JOURNAL OF CLIMATE
(2021)
Article
Meteorology & Atmospheric Sciences
Ying Yang, Zhiwei Zhu, Xinyong Shen, Leishan Jiang, Tim Li
Summary: The study finds that sea surface temperature anomalies in both the tropical Atlantic and extratropical North Atlantic are related to the interannual variation of East Asian summer monsoon rainfall. These anomalies induce atmospheric teleconnections, leading to circulation anomalies over East Asia and subsequently modulating the monsoon rainfall. The results highlight the important role of Atlantic sea surface temperature anomalies in driving East Asian summer monsoon rainfall.
JOURNAL OF CLIMATE
(2023)
Article
Environmental Sciences
Gleisis Alvarez-Socorro, Jose C. Fernandez-Alvarez, Luis Gimeno
Summary: Future changes in precipitation under climate change are expected, and this study aimed to investigate the influence of the El Nino-Southern Oscillation (ENSO) on oceanic and terrestrial precipitation. The Granger causality method was used to analyze the ENSO impacts in two regions with strong ENSO signals. The results showed that in winter, the oceanic component had the maximum Granger causality in the western North America region, while the terrestrial component had the maximum causality in the eastern South America region. High correlation values did not imply causality in the relationship between ENSO index and precipitation in the two regions.
Article
Meteorology & Atmospheric Sciences
Ramesh S. V. Teegavarapu, Alaa Aly, Chandra S. Pathak, Jon Ahlquist, Henry Fuelberg, Jill Hood
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2018)
Article
Engineering, Civil
Ramesh S. Teegavarapu, Aneesh Goly
WATER RESOURCES MANAGEMENT
(2018)
Article
Engineering, Civil
Ramesh S. Teegavarapu, Singaiah Chinatalapudi
WATER RESOURCES MANAGEMENT
(2018)
Article
Environmental Sciences
Sina Borzooei, Ramesh Teegavarapu, Soroush Abolfathi, Youri Amerlinck, Ingmar Nopens, Maria Chiara Zanetti
WATER AIR AND SOIL POLLUTION
(2019)
Article
Meteorology & Atmospheric Sciences
Subash Yeggina, Ramesh S. Teegavarapu, Sekhar Muddu
INTERNATIONAL JOURNAL OF CLIMATOLOGY
(2019)
Article
Environmental Sciences
Sina Borzooei, Gisele H. B. Miranda, Ramesh Teegavarapu, Gerardo Scibilia, Lorenza Meucci, Maria Chiara Zanetti
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2019)
Article
Water Resources
Fahad Khan Khadim, Ramesh S. V. Teegavarapu
HYDROLOGICAL SCIENCES JOURNAL-JOURNAL DES SCIENCES HYDROLOGIQUES
(2020)
Article
Engineering, Civil
Ramesh S. V. Teegavarapu
JOURNAL OF HYDROLOGY
(2020)
Article
Environmental Sciences
Hao Chen, Ramesh S. Teegavarapu
Article
Meteorology & Atmospheric Sciences
Subash Yeggina, Ramesh S. V. Teegavarapu, Sekhar Muddu
THEORETICAL AND APPLIED CLIMATOLOGY
(2020)
Article
Environmental Sciences
Marco Arrieta-Castro, Adriana Donado-Rodriguez, Guillermo J. Acuna, Fausto A. Canales, Ramesh S. V. Teegavarapu, Bartosz Kazmierczak
Article
Engineering, Civil
Aneesh Goly, Ramesh S. V. Teegavarapu
JOURNAL OF HYDROLOGIC ENGINEERING
(2020)
Article
Geosciences, Multidisciplinary
Caiyun Zhang, Hongbo Su, Tiantian Li, Weibo Liu, Diana Mitsova, Sudhagar Nagarajan, Ramesh Teegavarapu, Zhixiao Xie, Fred Bloetscher, Yan Yong
Summary: The study evaluated the feasibility of multiple linear regression and support vector machine techniques for predicting and mapping high water table in coastal landscapes, with SVM showing better predictive performance. Fine spatial resolution lidar-derived DEMs can effectively assist in predicting and mapping high water tables.
Proceedings Paper
Engineering, Environmental
Sina Borzooei, Ramesh Teegavarapu, Soroush Abolfathi, Youri Amerlinck, Ingmar Nopens, Maria Chiara Zanetti
NEW TRENDS IN URBAN DRAINAGE MODELLING, UDM 2018
(2019)
Proceedings Paper
Engineering, Civil
Hao Chen, Ramesh S. V. Teegavarapu
WORLD ENVIRONMENTAL AND WATER RESOURCES CONGRESS 2019: GROUNDWATER, SUSTAINABILITY, HYDRO-CLIMATE/CLIMATE CHANGE, AND ENVIRONMENTAL ENGINEERING
(2019)