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Thandlam V, Rahaman H, Rutgersson A, Sahlee E, Ravichandran M, Ramakrishna SSVS. Quantifying the role of antecedent Southwestern Indian Ocean capacitance on the summer monsoon rainfall variability over homogeneous regions of India. Sci Rep 2023; 13:5553. [PMID: 37020132 PMCID: PMC10076287 DOI: 10.1038/s41598-023-32840-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2022] [Accepted: 04/03/2023] [Indexed: 04/07/2023] Open
Abstract
The role of ocean variability is at a focal point in improving the weather and climate forecasts at different spatial and temporal scales. We study the effect of antecedent southwestern Indian Ocean mean sea level anomaly (MSLA) and sea surface temperature anomalies (SSTA) as a proxy to upper ocean heat capacitance on all India summer monsoon rainfall (AISMR) during 1993-2019. SSTA and MSLA over the southwestern Indian Ocean (SWIO) have been influenced by El Niño-Southern Oscillation (ENSO), the impact of ENSO-induced SWIO variability was low on rainfall variability over several homogeneous regions. Rainfall over northeast (NE) and North India (EI) has been modulated by ENSO-induced SSTA and MSLA over SWIO, thus effecting the total AISMR magnitude. The ENSO-induced changes in heat capacitance (SSTA and MSLA) over SWIO during antecedent months has less impact on west coast of India, central India and North India (NI) rainfall variability. The long-term trend in pre-monsoonal SSTA and MSLA over SWIO shows decreasing rainfall trend over NI, NE, and EI in the recent time. Furthermore, the cooler (warmer) anomaly over the western Indian Ocean affects rainfall variability adversely (favourably) due to the reversal of the wind pattern during the pre-monsoon period. While SSTA and MSLA are increasing in the SWIO, large-scale variability of these parameters during preceding winter and pre-monsoon months combined with surface winds could impact the inter-annual AISMR variability over homogeneous regions of India. Similarly, from an oceanic perspective, the antecedent heat capacitance over SWIO on an inter-annual time scale has been the key to the extreme monsoon rainfall variability.
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Affiliation(s)
- Venugopal Thandlam
- Air, Water and Landscape Science (LUVAL), Department of Earth Sciences, Uppsala University, Uppsala, Sweden.
- The Center for Environment and Development Studies Research Forum, Uppsala University, Uppsala, Sweden.
- Centre of Natural Hazards and Disaster Science, Uppsala University, Uppsala, Sweden.
- Department of Meteorology and Oceanography, Andhra University, Visakhapatnam, India.
| | - Hasibur Rahaman
- ESSO-Indian National Centre for Ocean Information Services (INCOIS), Ministry of Earth Sciences, Hyderabad, India
| | - Anna Rutgersson
- Air, Water and Landscape Science (LUVAL), Department of Earth Sciences, Uppsala University, Uppsala, Sweden
- Centre of Natural Hazards and Disaster Science, Uppsala University, Uppsala, Sweden
| | - Erik Sahlee
- Air, Water and Landscape Science (LUVAL), Department of Earth Sciences, Uppsala University, Uppsala, Sweden
| | - M Ravichandran
- Earth System Science Organization, Ministry of Earth Sciences, New Delhi, India
| | - S S V S Ramakrishna
- Department of Meteorology and Oceanography, Andhra University, Visakhapatnam, India
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Cheng L, Abraham J, Trenberth KE, Fasullo J, Boyer T, Mann ME, Zhu J, Wang F, Locarnini R, Li Y, Zhang B, Yu F, Wan L, Chen X, Feng L, Song X, Liu Y, Reseghetti F, Simoncelli S, Gouretski V, Chen G, Mishonov A, Reagan J, Li G. Another Year of Record Heat for the Oceans. ADVANCES IN ATMOSPHERIC SCIENCES 2023; 40:963-974. [PMID: 36643611 PMCID: PMC9832248 DOI: 10.1007/s00376-023-2385-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2022] [Revised: 01/09/2023] [Accepted: 01/10/2023] [Indexed: 06/17/2023]
Abstract
Changes in ocean heat content (OHC), salinity, and stratification provide critical indicators for changes in Earth's energy and water cycles. These cycles have been profoundly altered due to the emission of greenhouse gasses and other anthropogenic substances by human activities, driving pervasive changes in Earth's climate system. In 2022, the world's oceans, as given by OHC, were again the hottest in the historical record and exceeded the previous 2021 record maximum. According to IAP/CAS data, the 0-2000 m OHC in 2022 exceeded that of 2021 by 10.9 ± 8.3 ZJ (1 Zetta Joules = 1021 Joules); and according to NCEI/NOAA data, by 9.1 ± 8.7 ZJ. Among seven regions, four basins (the North Pacific, North Atlantic, the Mediterranean Sea, and southern oceans) recorded their highest OHC since the 1950s. The salinity-contrast index, a quantification of the "salty gets saltier-fresh gets fresher" pattern, also reached its highest level on record in 2022, implying continued amplification of the global hydrological cycle. Regional OHC and salinity changes in 2022 were dominated by a strong La Niña event. Global upper-ocean stratification continued its increasing trend and was among the top seven in 2022.
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Affiliation(s)
- Lijing Cheng
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - John Abraham
- University of St. Thomas, School of Engineering, Minnesota, 55105 USA
| | - Kevin E. Trenberth
- National Center for Atmospheric Research, Boulder, Colorado 80307 USA
- University of Auckland, Auckland, New Zealand
| | - John Fasullo
- National Center for Atmospheric Research, Boulder, Colorado 80307 USA
| | - Tim Boyer
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
| | - Michael E. Mann
- Department of Earth and Environmental Science, University of Pennsylvania, Philadelphia, Pennsylvania 19104 USA
| | - Jiang Zhu
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Fan Wang
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Ricardo Locarnini
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
| | - Yuanlong Li
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Bin Zhang
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Fujiang Yu
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Liying Wan
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Xingrong Chen
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Licheng Feng
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Xiangzhou Song
- College of Oceanography, Hohai University, Nanjing, 210098 China
| | - Yulong Liu
- National Marine Data and Information Service, Tianjin, 300171 China
| | - Franco Reseghetti
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development, S. Teresa Research Center, Lerici, 19032 Italy
| | - Simona Simoncelli
- Istituto Nazionale di Geofisica e Vulcanologia, Sede di Bologna, Bologna, 40128 Italy
| | - Viktor Gouretski
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Gengxin Chen
- South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301 China
| | - Alexey Mishonov
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
- ESSIC/CISESS-MD, University of Maryland, College Park, MD, College Park, Maryland 20740 USA
| | - Jim Reagan
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
| | - Guancheng Li
- Eco-Environmental Monitoring and Research Center, Pearl River Valley and South China Sea Ecology and Environment Administration, Ministry of Ecology and Environment, PRC, Guangzhou, 510611 China
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Yadav J, Kumar A, Srivastava A, Mohan R. Sea ice variability and trends in the Indian Ocean sector of Antarctica: Interaction with ENSO and SAM. ENVIRONMENTAL RESEARCH 2022; 212:113481. [PMID: 35588776 DOI: 10.1016/j.envres.2022.113481] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/29/2021] [Revised: 04/01/2022] [Accepted: 04/24/2022] [Indexed: 06/15/2023]
Abstract
Antarctic sea ice variability is primarily associated with ocean-atmospheric forcing driven by anomalous conditions over the tropical regions of the Pacific and Indian Oceans. The ice-ocean-atmosphere dynamics in the Indian Ocean Sector (IOS) of Antarctica have been studied using monthly satellite and reanalysis observations over four decades (1979-2019). In this study, we revealed that the annual sea ice extent (SIE) in the IOS increases at a rate of 0.7 ± 0.9% decade-1, with a maximum increase in austral summer (5.9 ± 3.7% decade-1). The wavelet approach was used to determine the variability in IOS sea ice caused by the El Niño/Southern Oscillation (ENSO) and southern annular mode (SAM). The SIE has a significant association with both indices during the summer and autumn. In comparison to ENSO, the sea ice variability associated with SAM is typically seasonal in nature and lacks distinct patterns. The wavelet coherence analysis revealed a relatively weak relationship between ENSO and SAM but a highly significant coherence between climatic indices and SIE. We observed that sea ice in the IOS is influenced significantly by climatic oscillations during their negative SAM/El Niño or positive SAM/La Niña phases. Furthermore, the study demonstrated a substantial impact of climatic disturbances in determining the sea ice variability in the IOS.
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Affiliation(s)
- Juhi Yadav
- National Centre for Polar and Ocean Research, Ministry of Earth Sciences (Govt. of India), Goa, India; Department of Marine Geology, Mangalore University, Mangalore, 574 199, India
| | - Avinash Kumar
- National Centre for Polar and Ocean Research, Ministry of Earth Sciences (Govt. of India), Goa, India.
| | | | - Rahul Mohan
- National Centre for Polar and Ocean Research, Ministry of Earth Sciences (Govt. of India), Goa, India
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Cheng L, Abraham J, Trenberth KE, Fasullo J, Boyer T, Mann ME, Zhu J, Wang F, Locarnini R, Li Y, Zhang B, Tan Z, Yu F, Wan L, Chen X, Song X, Liu Y, Reseghetti F, Simoncelli S, Gouretski V, Chen G, Mishonov A, Reagan J. Another Record: Ocean Warming Continues through 2021 despite La Niña Conditions. ADVANCES IN ATMOSPHERIC SCIENCES 2022; 39:373-385. [PMID: 35035014 PMCID: PMC8748534 DOI: 10.1007/s00376-022-1461-3] [Citation(s) in RCA: 11] [Impact Index Per Article: 5.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/19/2021] [Revised: 01/08/2022] [Accepted: 01/10/2022] [Indexed: 05/26/2023]
Abstract
The increased concentration of greenhouse gases in the atmosphere from human activities traps heat within the climate system and increases ocean heat content (OHC). Here, we provide the first analysis of recent OHC changes through 2021 from two international groups. The world ocean, in 2021, was the hottest ever recorded by humans, and the 2021 annual OHC value is even higher than last year's record value by 14 ± 11 ZJ (1 zetta J = 1021 J) using the IAP/CAS dataset and by 16 ± 10 ZJ using NCEI/NOAA dataset. The long-term ocean warming is larger in the Atlantic and Southern Oceans than in other regions and is mainly attributed, via climate model simulations, to an increase in anthropogenic greenhouse gas concentrations. The year-to-year variation of OHC is primarily tied to the El Niño-Southern Oscillation (ENSO). In the seven maritime domains of the Indian, Tropical Atlantic, North Atlantic, Northwest Pacific, North Pacific, Southern oceans, and the Mediterranean Sea, robust warming is observed but with distinct inter-annual to decadal variability. Four out of seven domains showed record-high heat content in 2021. The anomalous global and regional ocean warming established in this study should be incorporated into climate risk assessments, adaptation, and mitigation.
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Affiliation(s)
- Lijing Cheng
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - John Abraham
- University of St. Thomas, School of Engineering, Minnesota, 55105 USA
| | | | - John Fasullo
- National Center for Atmospheric Research, Boulder, Colorado 80307 USA
| | - Tim Boyer
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
| | - Michael E. Mann
- Department of Meteorology & Atmospheric Science, The Pennsylvania State University, University Park, Pennsylvania 16802 USA
| | - Jiang Zhu
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Fan Wang
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Ricardo Locarnini
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
| | - Yuanlong Li
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Bin Zhang
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
- Institute of Oceanology, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Zhetao Tan
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
- Center for Ocean Mega-Science, Chinese Academy of Sciences, Qingdao, 266071 China
| | - Fujiang Yu
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Liying Wan
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Xingrong Chen
- National Marine Environmental Forecasting Center, Ministry of Natural Resources of China, Beijing, 100081 China
| | - Xiangzhou Song
- College of Oceanography, Hohai University, Nanjing, 210098 China
| | - Yulong Liu
- National Marine Data and Information Service, Tianjin, 300171 China
| | - Franco Reseghetti
- Italian National Agency for New Technologies, Energy and Sustainable Economic Development, S. Teresa Research Center, Lerici, 19032 Italy
| | - Simona Simoncelli
- Istituto Nazionale di Geofisica e Vulcanologia, Sede di Bologna, Bologna, 40128 Italy
| | - Viktor Gouretski
- International Center for Climate and Environment Sciences, Institute of Atmospheric Physics, Chinese Academy of Sciences, Beijing, 100029 China
| | - Gengxin Chen
- South China Sea Institute of Oceanology, Chinese Academy of Sciences, Guangzhou, 510301 China
| | - Alexey Mishonov
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
- ESSIC/CISESS-MD, University of Maryland, College Park, MD 20742 USA
| | - Jim Reagan
- National Oceanic and Atmospheric Administration, National Centers for Environmental Information, Silver Spring, Maryland 20910 USA
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