Hydroclimate Variability in the Mainland Southeast Asia During the Last Glacial Maximum by Akkaneewut Jirapinyakul, Dissaya Sukaudom, Chawalit Charoenpong, Penjai Sompongchaikul, Paramita Punwong, Kweku Afrifa Yamoah

“…Our results highlight the complexities associated with tropical climate variability, challenging the conventional uniformity of cool and dry conditions during the LGM.…”
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From electrons to molecules: evaluating green ammonia production as an alternative to electricity exports in Lao PDR by Vignesh Sridharan, John Ward, Sounthisack Phommachanh, Khamphone Nanthavong, Lukas Schirren, Pietro Lubello, Adam Hawkes

“…This production could satisfy domestic fertiliser demand and create export opportunities. Climate variability could significantly impact production potential, with dry conditions reducing production by 26% and wet conditions increasing it by 50% relative to the base scenario. …”
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Spatial and temporal analysis of changes in hydrological fluxes and their relation to deforestation in the Madeira River basin by Eliana Torres, Shreedhar Maskey, Gerald Corzo, Remko Uijlenhoet, Dimitri Solomatine

“…While our results are robust, we acknowledge that factors such as climate variability and land management practices may also influence hydrological changes and should be considered in future research.…”
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A Sub-Hourly Precipitation Dataset from a Pluviographic Network in Central Chile by Claudia Sangüesa, Alfredo Ibañez, Roberto Pizarro, Cristian Vidal-Silva, Pablo Garcia-Chevesich, Romina Mendoza, Cristóbal Toledo, Juan Pino, Rodrigo Paredes, Ben Ingram

“…By making this dataset publicly available, we provide researchers with a valuable resource for studying rainfall behavior in a Mediterranean climate zone subject to significant climate variability and change. The dataset supports various applications, including the development of intensity–duration–frequency curves, analysis of rainfall erosivity, calibration of hydrological models, and investigation of precipitation trends in the context of climate change.…”
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Geoinformatics and hydrogeophysical-based delineation of groundwater potential zone through surface and subsurface indicators by Usman Basharat, Wenjing Zhang, Arshad Abbasi, Sehrish Mahroof, Abrar Niaz, Shoukat Husain Khan

“…Abstract Groundwater is one of the world’s most essential and valuable natural resources, important to a country’s growth development; regions like Azad Kashmir, Pakistan, face unique challenges from rapid urbanization and climate variability, highlighting the need for detailed assessments of groundwater potential and recharge dynamics. …”
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Satellite-derived steric height in the Southern Ocean: trends, variability, and climate drivers by J. Cocks, J. Cocks, A. Silvano, A. C. Naveira Garabato, O. Dragomir, O. Dragomir, N. Schifano, A. E. Hogg, A. Marzocchi

“…We find that the variability in steric height is driven predominantly by anomalies in surface heat and freshwater content associated with positive and negative phases of the two major modes of Southern Hemisphere climate variability (the El Niño–Southern Oscillation and Southern Annular Mode). …”
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Optimising plastic-film mulching under drip irrigation to boost maize productivity through enhanced water and fertiliser efficiency in sub-humid regions by Xiaodong Bo, Fuqi Yao

“…Global food security is increasingly threatened by the vulnerability of agricultural systems to climate variability, especially in sub-humid regions. Northeast China, a major maize-producing region, experiences low spring temperatures and erratic rainfall, which have prompted the widespread adoption of plastic-film mulching (PFM) combined with drip irrigation. …”
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Advanced satellite-based remote sensing and data analytics for precision water resource management and agricultural optimization by Awais Ali, Muhammad Yousuf Jat Baloch, Muhammad Naveed, Anam Nigar, Abdulrahman Seraj Almalki, Ayesha Ghulam Rasool, Meseret Abeje Gedfew, Ahmed A. Arafat

“…This multi-model fusion bridges the gap between biophysical water availability, vegetation health, land transition trends, and future irrigation scenarios, offering a more holistic and scalable solution for water-scarce regions, driven by climate change provides critical insights into the interplay of water supply, land suitability, and climate variability, offering a foundation for adaptive strategies that support food security, livelihoods, and environmental sustainability in vulnerable regions.…”
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Improved Pacific Decadal Oscillation Prediction by an Optimizing Model Combined Bidirectional Long Short-Term Memory and Multiple Modal Decomposition by Hang Yu, Junbo Lei, Pengfei Lin, Tao Zhang, Hailong Liu, Huilin Lai, Lindong Lai, Bowen Zhao, Bo Wu

“…This proposed model offers an effective way to advance the prediction skill of climate variability on multiple time scales by utilizing all kinds of data available including satellite data, and provides a large-scale background to monitor marine heatwaves.…”
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Advancing basin-scale drought monitoring: Development of a regional combined drought index using precipitation, soil moisture, and vegetation data by Asnake Kassahun Abebe, Xiang Zhou, Tingting Lv, Zui Tao, Yared Bayissa, Hongming Zhang, Abdelrazek Elnashar

“…Drought remains a critical challenge in Ethiopia’s Awash River Basin (ARB), where rainfed agriculture is highly sensitive to climate variability. This study presents a regional Combined Drought Index (rCDI), integrating the Standard Precipitation Index (SPI-3), soil moisture anomaly (SMA), and Vegetation anomaly (VA) using a Principal Component Analysis (PCA)-based weighting approach. …”
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Shifts in diurnal cycles of low and high clouds warm the climate: evidence from decadal satellite observations by Tingting Chen, Jinming Ge, Chi Zhang, Yanyan Wu, Qingyu Mu, Xinyi Han, Jing Su, Xiaoyu Hu, Zeen Zhu

“…These results indicate that the changes in DCC are significant for understanding climate variability. However, it should be noted that these findings are based on short-term regression analysis and further research is needed to determine whether they are related to long-term responses.…”
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Possible effects of tropical cyclone activities over eastern North Pacific on Arctic sea ice by Liangying Zeng, Yao Ha, Chuanfeng Zhao, Haixia Dai, Yimin Zhu, Yijia Hu, Wei Lu, Yudi Liu, Tianju Wang, Zhong Zhong

“…The significance of tropical-extratropical teleconnections in Arctic climate variability is emphasized by these findings, suggesting that ENP TC activities could serve as a novel tropical factor for predicting SIC over the Arctic.…”
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A lacustrine record of rainfall-induced variations in the pedogenic and weathering processes during the Late Holocene by Adichinalniravel S. Yamuna, Anish K. Warrier, Bharti Sharma, Kizhur Sandeep, Mamilla Venkateshwarlu, Powravi Sai, George S. Joju, Geetha H. Aravind, Abdul K. Rafaz, Kakunja V. Reshma, Rajveer Sharma

“…A comparative study with regional records suggests a similar trend in broad climate variability, revealing a global teleconnection. …”
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Spatiotemporal characteristics and mechanisms of upper water exchange between the Arabian Sea and the Bay of Bengal in the North Indian Ocean by Defu Zheng, Defu Zheng, Defu Zheng, Junru Guo, Junru Guo, Junru Guo, Yanzhao Fu, Yanzhao Fu, Yanzhao Fu, Yanzhao Fu, Jun Song, Jun Song, Jun Song, Jun Song, Jun Song, Yu Cai, Yu Cai, Yu Cai

“…These findings highlight the effectiveness of the spectral clustering method in revealing the spatiotemporal patterns of water masses, which is important for understanding the ocean circulation system and associated climate variability in the North Indian Ocean.…”
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Nanoparticles in plant system: A comprehensive review on their role in diverse stress management and phytohormone signaling by Vinay Kumar, Islavath Suresh Naik, Bimal Das, Anupama Singh, Prayasi Nayak, Chinmayee Mohapatra, Debanjana Debnath, Maitreyee Tripathy, Kumareswar Behera, Fred Bwayo Masika, Swati Manohar, Sang-Min Chung, Bhagwat Singh Kherawat, Mamidi Hemalatha, Mahipal Singh Kesawat

“…Climate variability has led to significant environmental shifts in recent years, placing growing strain on agricultural systems worldwide. …”
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African New Towns by Rachel Keeton

“…Additionally, contemporary New Town models often do not take current climate variability or future climate change threats into account. …”
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Machine learning approaches for imputing missing meteorological data in Senegal by Mory Toure, Nana Ama Browne Klutse, Mamadou Adama Sarr, Md Abul Ehsan Bhuiyan, Annine Duclaire Kenne, Wassila Mamadou Thiaw, Daouda Badiane, Amadou Thierno Gaye, Ousmane Ndiaye, Cheikh Mbow

“…Although not a substitute for direct observations, imputation emerges as a critical complementary tool to support robust and resilient climate information systems essential for agriculture, public health, and disaster risk management under intensifying climate variability.…”
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A regional physical–biogeochemical ocean model for marine resource applications in the Northeast Pacific (MOM6-COBALT-NEP10k v1.0) by E. J. Drenkard, C. A. Stock, A. C. Ross, Y.-C. Teng, T. Cordero, W. Cheng, W. Cheng, A. Adcroft, A. Adcroft, E. Curchitser, R. Dussin, R. Dussin, R. Hallberg, C. Hauri, K. Hedstrom, A. Hermann, A. Hermann, M. G. Jacox, M. G. Jacox, K. A. Kearney, R. Pagès, D. J. Pilcher, D. J. Pilcher, M. Pozo Buil, V. Seelanki, V. Seelanki, N. Zadeh

“…In the Gulf of Alaska, the simulation captured patterns of sea surface height variability and variations in thermal, oxygen, and acidification risk associated with local modes of interannual to decadal climate variability. In the California Current Ecosystem, the simulation robustly captured variations in upwelling indices and coastal water masses, though discrepancies in the latter were evident in the Southern California Bight. …”
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Dimensionality reduction for groundwater forecasting under drought and intensive irrigation with neural networks by Tarik Bouramtane, Ismail Mohsine, Nourelhouda Karmouda, Marc Leblanc, Yannick Estève, Ilias Kacimi, Mohamed Hilali, Salima Mdhaffar, Sarah Tweed, Mounia Tahiri, Nadia Kassou, Ali El Bilali, Omar Chafki

“…On average, PC1 accounted for 68.3 % of the variance in hydro-climatic variables, with an eigenvalue of 2.75, surpassing the combined variance of two individual hydro-climatic variables. …”
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The Mediterranean Oscillation Teleconnection Index: Station-Based versus Principal Component Paradigms by Francisco Criado-Aldeanueva, F. Javier Soto-Navarro

“…On an annual basis, the PC paradigm is the most effective tool to assess the effect of the large-scale atmospheric forcing in the Mediterranean Sea because the station-based indices exhibit a very poor correlation with all climatic variables and only influence a reduced fraction of the basin. …”
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