Weather Events Research Articles

Interventions promoting resilience through climate smart agricultural practices for women farmers: A systematic review.

Climate change poses a significant threat to agricultural production worldwide, with developing countries being particularly vulnerable to its negative impacts. Agriculture, which is a crucial factor in ensuring food security and livelihoods, is particularly vulnerable to changes in climate patterns, such as increased temperatures, drought, and extreme weather events. One approach to addressing these challenges is by promoting the adoption of climate-smart agriculture (CSA) practices among farmers. CSA combines traditional agricultural practices with innovative techniques and technologies to adapt to and mitigate the impacts of climate change. infrastructure. By adopting CSA practices, farmers can enhance their resilience to climate variability and improve their productivity. This review examines the effectiveness of interventions promoting CSA to enhance farmers' knowledge of the benefits of CSA approaches, subsequent adoption of CSA, and disadoption of harmful agricultural practices in low- and middle-income countries (LMICs). We searched 39 academic and online databases, websites, and repositories and screened over 19,000 experimental and quasi-experimental publications to identify studies promoting CSA practices to women farmers. We conducted a citation tracking process on included studies and contacted experts to ensure a thorough search. The review focused on studies that included interventions promoting climate-smart agricultural approaches. Using EPPI Reviewer 4, two review authors independently screened the impact evaluation using a standardized screening tool. Information about participant characteristics, intervention characteristics, control conditions, research design, sample size, bias risk, outcomes, and results were gathered. Data collection and quantitative analysis were conducted using standard Campbell Collaboration methods. Eight impact evaluations were found (two randomized controlled trials) evaluating the effects of CSA practices on farmer's knowledge gains of the benefits of CSA practices and subsequent adoption. Knowledge dissemination approaches such as Farmer Field Schools and weather and climate information services were found to positively impact farmers' knowledge and adoption of specific CSA practices. However, the evidence supporting this claim is uncertain as a high risk of bias was assessed for five of the eight included studies. However, we found no effects on the disadoption of harmful practices such as pesticide overuse. The evidence base for studies promoting climate-smart agricultural approaches (CSA) to farmers in LMICs is small, and there is a lack of studies reporting sex-disaggregated data and studies explicitly targeting women farmers. The review suggests that knowledge dissemination techniques are significantly effective in improving CSA knowledge and adoption, including integrated pest management techniques and their benefits, adoption of climate-resilient rice seed varieties (STRVs), and use of botanical pesticides by farmers. More and better confidence studies are needed to inform policy and programming, including those that look at a wider range of interventions, including changing norms, values, and institutional arrangements.

Unusual Forbush Decreases and Geomagnetic Storms on 24 March, 2024 and 11 May, 2024

As the current solar cycle 25 progresses and moves towards solar maxima, solar activity is increasing and extreme space weather events are taking place. Two severe geomagnetic storms accompanied by two large Forbush decreases in galactic cosmic ray intensity were recorded in March and May, 2024. More precisely, on 24 March 2024, a G4 (according to the NOAA Space Weather Scale for Geomagnetic Storms) geomagnetic storm was registered, with the corresponding geomagnetic indices Kp and Dst equal to 8 and −130 nT, respectively. On the same day, the majority of ground-based neutron monitor stations recorded an unusual Forbush decrease. This event stands out from a typical Forbush decrease because of its high amplitude decrease phase and rapid recovery phase, i.e., 15% decrease and an extremely rapid recovery of 10% within 1.5 h, as recorded at the Oulu neutron monitor station. Furthermore, on 10–13 May 2024, an unusual G5 geomagnetic storm (geomagnetic indices Kp = 9 and Dst = −412 nT) was registered (the last G5 storm had been observed in 2003). In addition, the polar neutron monitor stations recorded a Ground Level Enhancement (GLE74) during the recovery phase of a large Forbush decrease of 15%, which started on 10 May 2024. In this study, a detailed analysis of these two severe events in regard to the accompanying solar activity, interplanetary conditions and solar energetic particle events is provided. Moreover, the results of the NKUA “GLE Alert++ system”, the NKUA/IZMIRAN “FD Precursory Signals” method and the NKUA “ap Prediction tool” concerning these events are presented.

Environmental sensitivity of the Caribbean economic growth rate

Abstract. The year-over-year changes in economic growth across the Caribbean Antilles islands demonstrate sensitivity to climatic conditions. Daily wind and rainfall exceedances from passing storms are negatively related to the gross domestic product (GDP). Field regression of the GDP time series from 1971 to 2022 for Puerto Rico and the neighboring Antilles islands reveals links with eastern Pacific sea temperature. A zonal overturning atmospheric circulation over the equatorial Atlantic emerges in composite analysis. Alternating at an approximate 7-year interval, it modulates weather events and economic prosperity in the Caribbean. A multivariate algorithm is developed to predict changes in the annual GDP growth rate. The most influential predictor is precipitable water in the equatorial Atlantic 1 year earlier. Reduced moisture overlain by westerly winds in a global bottleneck at 5° S–5° N, 20–40° W tends to suppress Caribbean storms, leading to economic prosperity in the following year. Statistical methods and risk-reduction strategies are outlined.

Impact of Climate Change on Agricultural Production and Food Security

This comprehensive analysis provides a detailed examination of the impacts of climate change on the agricultural sector, offering sustainable solutions with the objective of ensuring global food security. The detrimental impact of climate change on agricultural production, including global warming, significant alterations in precipitation patterns, and extreme weather events, has been meticulously assessed, with careful consideration given to their potential consequences for future food supply and security. In this context, a number of critical strategies and policies have been proposed, including the strengthening of water management policies, the advancement of sustainable agricultural practices, the development of climate-resilient seeds, and the enhancement of agricultural technologies. Moreover, the imperative for international collaboration and shared accountability has been forcefully emphasised, underscoring the necessity of maintaining this pivotal issue at the forefront of the global agenda. It is evident that a comprehensive approach is essential for combating climate change and ensuring sustainable agricultural production. Sustainable solutions and international cooperation are vital for guaranteeing a reliable future food supply and food security. In this context, the implementation of the proposed strategies and policies represents a crucial step towards aligning the agricultural sector with future needs and effectively addressing climate change.

Perspectives on connecting climate change and health.

Over the past century, the Earth's climate has undergone rapid and unprecedented changes, manifested in a noticeable increase in average global temperature. This has led to shifts in precipitation patterns, increased frequency of extreme weather events (e.g. hurricanes, heatwaves, droughts and floods), alterations in ecosystems, and rising sea levels, impacting both natural environments and human societies, health and wellbeing. Without deep and urgent emission cuts and effective adaptation, the toll of climate change on human health and wellbeing is likely to grow. Here, we address the complex relationship between climate change and health, and discuss ways forward for transdisciplinary research and collaboration that can motivate more ambitious mitigation policies and help develop solutions to adapt to the crisis.

Effects of air temperatures on acacia and chestnut honey yields: case study in Italy

Global honey production is increasing.In Italy, the two predominant monovarietal honey types are acacia and chestnut . Climate change, with an increase in extreme weather events (including droughts, heat waves and late frosts), impacts both the phenology of melliferous species andhoneybee activity. The aim of this study was to correlate the honey yields of acacia and chestnut in five Italian climatic sub-regions with the thermal extremes during the flowering phases of the two melliferous species.The objective was to understand the impact that these parameters have on yields.The results highlighted differing impacts of thermal extremes on honey yields for acacia and chestnut, respectively . In the acacia, temperature below 4.3C° in the flowering period had a negative impact particularly in the North-West (P<0.01). Instead temperatures above 17.5C° impacted positively in North Italy. In contrast, for chestnut, temperatures above 23.5C° negatively affected honey yields in the North-West. Understanding the interaction between climate, melliferous species and bees is useful for beekeepers towards developing adaptation strategies to climate change with the aim of protecting the yields, income, animal welfare and ecosystem services.

Research on supply-demand balance in China’s five southern provinces amidst fluctuations in regional wind and solar power generation and transmission faults

To investigate the supply-demand balance of regional power systems under extreme scenarios, this study employs the high-resolution power optimization model SWITCH-China to simulate the regional heterogeneity and randomness of extreme weather events in detail. Focusing on the five southern provinces, this study explores various impacts on the power generation side and the grid side under scenarios of reduced wind and solar power output, transmission line failures, and combined scenarios, proposing strategies for constructing a new power system. The main conclusions are: the reduction in wind and solar power output significantly affects provinces with a high proportion of these installations, like Guizhou, necessitating other stable power generation forms to compensate. Transmission line failures notably impact provinces like Guangdong, which rely heavily on imported electricity, requiring increased investment in new wind and solar installations and more self-generated power to offset the reduction in imported electricity. The combination of these factors amplifies their individual impacts, leading to the highest carbon reduction and electricity costs. The simulation results of this study are valuable for China’s five southern provinces in coping with extreme scenarios. As these provinces work on building a new power system and gradually retire fossil fuel units, they should expand the number and capacity of inter-provincial high-voltage transmission lines while considering system economics. Additionally, accelerating the deployment of energy storage is crucial for maintaining power system stability.

Extended metric validation of a semi-physical Space Weather Modeling Framework conductance model on field-aligned current estimations

In this study, a detailed metric survey on the “Galaxy 15” (April 2010) space weather event is conducted to validate MAGNetosphere–Ionosphere–Thermosphere (MAGNIT), a semi-physical auroral ionospheric conductance model characterizing four precipitation sources, against AMPERE measurements via field-aligned current (FAC) characteristics. As part of this study, the comparative performance of three ionosphere electrodynamic specifications involving auroral conductance models, MAGNIT, Ridley Legacy Model (RLM) (empirical), and Conductance Model for Extreme Events (CMEE) (empirical), within the Space Weather Modeling Framework (SWMF), is demonstrated. Overall, MAGNIT exhibits marginally improved predictions; root mean square error values in upward and downward FACs of MAGNIT predictions compared to AMPERE data are smaller than those of CMEE and Ridley Ionosphere Model (RIM) by ∼12.7% and ∼6.24% before the storm, ∼4.52% and ∼2.13% better during the main phase, ∼1.98% and ∼1.27% worse during the second minimum, and better by ∼1.84% and ∼1.49% by the beginning of the recovery, respectively. In all three model configurations, the dusk and night magnetic local time (MLT) sectors over-predict throughout the storm, while the day and dawn MLT sectors under-predict in response to interplanetary magnetic field (IMF) conditions. In addition to accuracy and bias, similar results and conclusions are drawn from additional metrics, including in the categories of correlation, precision, extremes, and skill, and recommendations are made for the best-performing model configuration in each metric category. Visual data–model comparisons conducted by studying the FAC location and latitude/MLT spread throughout various phases of the storm suggest that the spatial extent of the FACs is captured relatively well in the night-side auroral oval, unlike in the day-side oval. The spread in latitude of the FACs matches that in the previous literature on other model performances. This information on auroral precipitation sources and their weight on FACs, along with metrics from model–data comparisons, can be used to modify MAGNIT settings to optimize SWMF model performance.

Integrated Review of Transcriptomic and Proteomic Studies to Understand Molecular Mechanisms of Rice's Response to Environmental Stresses.

Rice (Oryza sativa L.) is grown nearly worldwide and is a staple food for more than half of the world's population. With the rise in extreme weather and climate events, there is an urgent need to decode the complex mechanisms of rice's response to environmental stress and to breed high-yield, high-quality and stress-resistant varieties. Over the past few decades, significant advancements in molecular biology have led to the widespread use of several omics methodologies to study all aspects of plant growth, development and environmental adaptation. Transcriptomics and proteomics have become the most popular techniques used to investigate plants' stress-responsive mechanisms despite the complexity of the underlying molecular landscapes. This review offers a comprehensive and current summary of how transcriptomics and proteomics together reveal the molecular details of rice's response to environmental stresses. It also provides a catalog of the current applications of omics in comprehending this imperative crop in relation to stress tolerance improvement and breeding. The evaluation of recent advances in CRISPR/Cas-based genome editing and the application of synthetic biology technologies highlights the possibility of expediting the development of rice cultivars that are resistant to stress and suited to various agroecological environments.

A comparative analysis of temperature trends at Modena Geophysical Observatory and Mount Cimone Observatory, Italy

AbstractGlobal warming has become a critical environmental, social, and economic threat, with increasing frequency and intensity of extreme weather events. This study aims to analyse temperature trends and climate indices in the Po Valley, a significant economic and agricultural region in Italy, by examining data from two historical stations: the urban Modena Observatory and the rural Mount Cimone Observatory. The analysis extends previous studies to 2018, assessing the magnitude of climate changes since the 1950s and isolating the Urban Heat Island (UHI) effect in Modena. Significant warming trends were confirmed at both sites, with in maximum (TX) and minimum (TN) temperatures trends nearly doubling from 1981 to 2018 compared to 1951–2018. For example, TX trends reached 0.84°C·decade−1 in Modena and 0.62°C·decade−1 at Mount Cimone, while TN trends were 0.77 and 0.80°C·decade−1, respectively. Extreme climate indices showed a substantial increase in warm days and nights (TX90p and TN90p, respectively). Particularly we found TX90p of 27.5 days·decade−1 in Modena and 15 days·decade−1 at Mount Cimone while TN90p of 29.5 days·decade−1 in Modena, 22 days·decade−1 at Mount Cimone. The UHI effect significantly impacts Modena's temperature trends. Urbanization contributes up to 65% of the rise in warm nights. Specifically, frost days decreased by 1.88 days·decade−1 (37% of Urban Contribute, UC), tropical nights increased by 5.16 days·decade−1 (57% UC), warm nights increased by 12.7 days·decade−1 (65% UC), and cool nights decreased by 3.19 days·decade−1 (39% UC). Overall, the study underscores the importance of considering both global and local factors in regional climate trend analysis.

Impact of flexible working on traffic congestion in extreme weather conditions: Empirical evidence from a natural experiment

IntroductionClimate change increases the frequency and intensity of extreme weather events, which can lead to increased congestion on roadways as drivers slow down and navigate hazardous conditions. Flexible working can be a potential solution because it reduces the need for employees to commute to work. MethodsThis study investigates the traffic congestion spatiotemporal patterns of flexible working in extreme weather events (i.e., heavy snow) by using the public health emergency as a natural experiment. We collect real-time traffic data from Harbin, China, and provide a framework to quantify the reduction of traffic congestion under extreme weather conditions. During the epidemic lockdown period, only crucial workers were allowed to go to work in the study area; everybody else was working from home. This is the maximum level of flexible working that a system can allow. Hence, our findings provide an upper limit for traffic congestion reduction in extreme weather events. We constructed three scenarios, i.e., baseline, snow, and snow with work-from-home (WFH). We use time series analysis and Kaplan-Meier survival analysis methods to study the spatiotemporal patterns of traffic congestion during morning peak hours (6:30 a.m.–9:30 a.m.) at 10-min intervals. ResultsThe data analysis identified that significant traffic congestion reduction due to the WFH arrangement. For example, the longest travel duration is reduced from 120 min in the snow scenario to 50 min in the snow with WFH scenario. ConclusionsThis study reveals the geographical patterns of urban traffic congestion, providing support for guiding residents to optimize snowy travel methods in future interventions, policy changes, and research.

Isotope-based source assessment of water flowing from storm sewer systems to a receiving river during dry weather periods

Urban stormwater management systems, particularly storm sewers, are critical for managing runoff in urban areas. These systems are designed to function during wet weather events; however, field-based observations of these systems suggest that they may also be active flow pathways in dry weather conditions, ultimately contributing to streamflow. Unlike dry weather flow in wastewater systems, storm sewer dry weather flow has not been thoroughly explored. This research used stable isotopes of oxygen and hydrogen in water to examine the sources of dry weather flow from storm sewers in a highly urban catchment. A stable isotope mixing model was applied at the outfalls of two stormwater catchments and the receiving Black Creek, located in Toronto, Canada. Findings suggest that during dry periods, storm sewers receive non-stormwater inputs from tap water, wastewater, and groundwater, along with some precipitation, and that these sources may constitute up to 19 % of Black Creek's flow at the watershed scale. Seasonal patterns in flow and water sources were observed for the Black Creek and outfalls. At one outfall, dry weather flow was predominantly from the water distribution system (i.e., tap water and/or wastewater) throughout spring, summer, and fall. In contrast, at the second outfall, groundwater dominated in spring and summer, and groundwater and water distribution were equally proportioned in fall. Black Creek baseflow comprises a dynamic mix of water sources that at times are similar to the sources observed at the stormwater outfalls. Considering these findings, future work should incorporate strategic sampling of additional outfalls, and multiple years of data collection to explore inter-annual variability in these processes and focus on replicating a similar study in other urban watersheds with different climates and/or water infrastructure design. The study findings highlight that our understanding of dry weather flow from storm sewers is relatively limited, emphasizing the need for further exploration of this phenomenon to inform urban hydrological modelling, water quality studies, and urban water management.

Climate change adaptation in Norwegian businesses − Awareness, integration and barriers

Preventive measures adopted to protect buildings and infrastructure from extreme weather and natural hazard events may serve to mitigate extensive damage and thus avoid major expenditures to businesses and society. A survey of 1,001 representative companies across different sectors and regions in Norway reveals that most companies fail to prioritise the climate change adaptation of their buildings or infrastructure. Most respondents have not conducted risk assessments. The greatest focus is adopted by large companies, those that own their buildings and infrastructure, and businesses in the primary and energy sectors. Small companies, service sector businesses and companies that rent their buildings and infrastructure are the least well prepared. The largest perceived barrier to adaptation is costs, followed by a lack of knowledge and competence in the fields of climate change impacts and adaptation measures. The large majority state that they do not measure climate change adaptation at all. Less than 10 per cent use indicators or evaluate their climate change adaptation efforts. Survey results suggest that Norwegian businesses need stronger incentives and clearly defined responsibilities, combined with appropriate tools and guidelines relevant to the entire climate change adaptation cycle. These will include the performance of risk assessments, the tracking of their adaptation status, as well as the measurement and evaluation of their climate change adaptation actions with the help of indicators.

Paradox of lake nitrogen concentration change response to watershed management: Case study of China

Human activities have caused rapid increases in lake nutrient loads over the past few decades, resulting in severe eutrophication. To mitigate eutrophication in lakes, watershed management is conducted worldwide. After decades of watershed environmental management practices, some lakes have significantly improved in water quality, whereas others continue to deteriorate. Differentiations in watershed environmental management practices have been a conundrum for watershed managers for many years. This study analyzed over 20 years of nitrogen concentration data from 13 different types of lakes in China, exploring the driving forces behind water quality changes. The results showed that agricultural nitrogen management has emerged as a predominant driver of lake nitrogen concentration changes, with the impacts of climatic factors diminishing post-transition. Two obstacles hinder the achievement of water quality goals: time lags and climate change. The time lag between agricultural management measures and water quality improvements maybe decades. Meanwhile, climate change, especially extreme weather events, introduces uncertainties that may trigger short-term deterioration. Despite the uncertainty surrounding lake nitrogen concentration changes, lakes with advanced governance structures still exhibited greater resilience to climatic changes compared to those in the early stages of environmental management. To improve water quality, more efforts and patience are required.

Impact of severe drought on biogenic volatile organic compounds emissions from Sphagnum mosses in boreal peatlands

Climate change and the associated increased frequency of extreme weather events are likely to alter the emissions of biogenic volatile organic compounds (BVOCs) from boreal peatlands. Hydrologically sensitive Sphagnum mosses are keystone species in boreal peatland ecosystems that are known to emit various BVOCs. However, it is not known how their emissions respond to seasonal droughts. In this study, we quantified the effect of severe drought, and subsequent recovery, on the BVOC emissions from Sphagnum mosses using mesocosms originating from wet open and naturally drier treed boreal fens and bogs. Here we report the emissions of 30 detected BVOCs, of which isoprene was the most abundant with an average flux rate of 5.6 μg m−2 h−1 (range 0–31.9 μg m−2 h−1). The experimental 43-day ecohydrological drought reduced total BVOC and isoprene emissions. In addition, in mesocosms originating from bogs, sesquiterpene emissions decreased with the drought, while the emissions of green leaf volatiles were induced. Sesquiterpene emissions remained low even six weeks after rewetting, indicating a long and limited recovery from the drought. Our results further imply that long-term exposure to deep water tables does not decrease sensitivity of Sphagnum to an extreme drought; we did not detect differences in the emission rates or drought responses between Sphagna originating from wet open and naturally drier treed habitats. Yet, the differences between fen and bog originating Sphagna indicate local variability in the BVOC quality changes following drought, potentially altering the climate feedback of boreal peatland BVOC emissions.

Responses of the mesozooplankton community to marine heatwaves: Challenges and solutions based on a long-term time series.

Marine heatwaves (MHWs) are extreme weather events that have major impacts on the structure and functioning of marine ecosystems worldwide. Due to anthropogenic climate change, the occurrence of MHWs is predicted to increase in future. There is already evidence linking MHWs with reductions in biodiversity and incidence of mass mortality events in coastal ecosystems. However, because MHWs are unpredictable, the quantification of their effects on communities is challenging. Here, we use the Helgoland Roads long-term time series (German Bight, North Sea), one of the richest marine time series in the world, and implement a modified before-after control-impact (BACI) design to evaluate MHW effect on mesozooplankton communities. Mesozooplankton play an essential role in connecting primary producers to higher trophic levels, and any changes in their community structure could have far-reaching impacts on the entire ecosystem. The responses of mesozooplankton community to MHWs in terms of community structure and densities occurred mainly in spring and autumn. Abundances of seven taxa, including some of the most abundant groups (e.g. copepods), were affected either positively or negatively in response to MHWs. In contrast, we observed no clear evidence of an impact of summer and winter MHWs; instead, the density of the most common taxa remained unchanged. Our results highlight the seasonally dependent impacts of MHWs on mesozooplankton communities and the challenges in evaluating those impacts. Long-term monitoring is an important contributor to the quantification of effects of MHWs on natural populations.

Assembling Multi-Temporal Resilience on the Eastern Coast of India

ABSTRACT This article explores how the Sundarbans residents and migrants on the eastern coast of India build multitemporal resilience. While extreme weather events have different rhythms, local governance, including climate change mitigation policies and state initiatives to manage the aftermaths of extreme weather events, also create temporalities. We analyse how people assemble these temporalities in their quest for more secure livelihoods and housing. By examining two interrelated practices – waiting and establishing patronage relationships – we argue, first, that resilience is not built by isolated individuals or communities; instead, it is relational and multitemporal. Second, we contribute to the questioning of climate reductionism and climate reductionist understandings of resilience by showing that people not only build resilience to climate change impacts and environmental changes but also policies and power structures. Third, we contend that lived resilience is not merely about coping but also encompasses the ability to develop critical discourses and influence governance.

Climate Change Impacts on and Response Strategies for Kiwifruit Production: A Comprehensive Review.

Climate change, a pressing global concern, poses significant challenges to agricultural systems worldwide. Among the myriad impacts of climate change, the cultivation of kiwifruit trees (Actinidia spp.) faces multifaceted challenges. In this review, we delve into the intricate effects of climate change on kiwifruit production, which span phenological shifts, distributional changes, physiological responses, and ecological interactions. Understanding these complexities is crucial for devising effective adaptation and mitigation strategies to safeguard kiwifruit production amidst climate variability. This review scrutinizes the influence of rising global temperatures, altered precipitation patterns, and a heightened frequency of extreme weather events on the regions where kiwifruits are cultivated. Additionally, it delves into the ramifications of changing climatic conditions on kiwifruit tree physiology, phenology, and susceptibility to pests and diseases. The economic and social repercussions of climate change on kiwifruit production, including yield losses, livelihood impacts, and market dynamics, are thoroughly examined. In response to these challenges, this review proposes tailored adaptation and mitigation strategies for kiwifruit cultivation. This includes breeding climate-resilient kiwifruit cultivars of the Actinidia species that could withstand drought and high temperatures. Additional measures would involve implementing sustainable farming practices like irrigation, mulching, rain shelters, and shade management, as well as conserving soil and water resources. Through an examination of the literature, this review showcases the existing innovative approaches for climate change adaptation in kiwifruit farming. It concludes with recommendations for future research directions aimed at promoting the sustainability and resilience of fruit production, particularly in the context of kiwifruit cultivation, amid a changing climate.

Pricing effects of extreme high temperature: Evidence from municipal corporate bonds in China

Climate change and the escalation of extreme weather events jeopardize every corner of the globe. This paper investigates the impact of extreme high temperatures on the spread of newly issued municipal corporate bonds (MCBs) in China, which serves as a crucial instrument for local governments to meet the financial demands. We find that relative to the reference temperature range of 16 °C–20 °C, the issuing spread of MCBs increases by 2.48 basis points for each extra day where the mean temperature surpasses 32 °C. The findings highlight the risk-increasing effects of extreme temperatures in financial markets.

Near-surface soil hydrothermal response feedbacks landslide activity and mechanism

Surface moisture has recently been reported to be used in regional-scale landslide early warning. Nevertheless, near-surface multi-depth hydrothermal measurements as a hillslope scale are often less concerned and rarely linked to landslide kinematics. In this paper, we selected two neighboring landslides with different deformation mechanisms as case studies. Using in-situ multi-source sensors, we monitored real-time soil temperature and moisture at specific depths within approximately 1.5 m. The measurements span two complete monsoon seasons, representing concurrent dry and wet hydrological extremes. Statistical Pearson correlation analysis was employed to quantify the relationships between landslide activity and environmental variables such as soil temperature and moisture content. The results indicate that the near-surface soil temperatures and moisture contents contribute to a better understanding of the factors controlling landslide activity, in which variations synergistically reflect hydrothermal interaction and potential deformation mechanisms. These soil temperatures and moisture contents at certain depths (specifically at 20, 50, and even 100 cm) show moderate to strong correlations (with Pearson correlation coefficient values ranging from 0.4 to 0.8) with landslide deformation. In cases where discrete daily rainfall data exhibited unsatisfactory correlations due to their data attributes, soil temperature and moisture effectively served as alternative indicators for rainfall inputs, aiding in the analysis. Overall, this work emphasizes the critical influence of soil moisture and temperature on landslide dynamics. This study also highlights the need for comprehensive monitoring and forecasting strategies that consider a wide range of environmental factors to mitigate landslide risks associated with climate change, particularly in the context of intensified extreme weather events.