Frequency Of Heat Waves Research Articles

Ecophysiological responses to heat waves in the marine intertidal zone.

One notable consequence of climate change is an increase in the frequency, scale and severity of heat waves. Heat waves in terrestrial habitats (atmospheric heat waves, AHW) and marine habitats (marine heat waves, MHW) have received considerable attention as environmental forces that impact organisms, populations and whole ecosystems. Only one ecosystem, the intertidal zone, experiences both MHWs and AHWs. In this Review, we outline the range of responses that intertidal zone organisms exhibit in response to heat waves. We begin by examining the drivers of thermal maxima in intertidal zone ecosystems. We develop a simple model of intertidal zone daily maximum temperatures based on publicly available tide and solar radiation models, and compare it with logged, under-rock temperature data at an intertidal site. We then summarize experimental and ecological studies of how intertidal zone ecosystems and organisms respond to heat waves across dimensions of biotic response. Additional attention is paid to the impacts of extreme heat on cellular physiology, including oxidative stress responses to thermally induced mitochondrial overdrive and dysfunction. We examine the energetic consequences of these mechanisms and how they shift organismal traits, including growth, reproduction and immune function. We conclude by considering important future directions for improving studies of the impacts of heat waves on intertidal zone organisms.

Effects of in situ experimental warming on metabolic expression in a soft sediment bivalve

Ocean surface temperatures and the frequency and intensity of marine heatwaves are increasing worldwide. Understanding how marine organisms respond and adapt to heat pulses and the rapidly changing climate is crucial for predicting responses of valued species and ecosystems to global warming. Here, we carried out an in situ experiment to investigate sublethal responses to heat spikes of a functionally important intertidal bivalve, the venerid clam Austrovenus stutchburyi. We describe changes in metabolic responses under two warming scenarios (five days and seven days) at two sites (muddy and sandy). Tidal flat warming during every low tide for five days affected the abundance of multiple functional metabolites within this species. The metabolic response was related to pathways such as metabolic energetics, amino acid and lipid metabolism, and accumulation of stress-related metabolites. There was some recovery after cooler weather during the final two days of the experiment. The degree of change was greater in muddy versus sandy sediments. Our findings provide new evidence of the metabolomic response of these important bivalve to heat stress, which could be used for resource managers when implementing strategies to mitigate the impacts of climate change on valuable marine resources.

Spatio-temporal Variations of Heat Extremes across the Yangtze River Delta during 2001-2023 Based on Remotely Sensed Seamless Air Temperature.

Heat extremes become increasingly frequent and severe, posing adverse risks to public health and environment. Previous research on extreme heat mostly used meteorological observations or reanalysis data, which cannot well capture detailed spatial patterns. This study developed a seamless air temperature (Ta) dataset from remote sensing data to characterize the spatio-temporal variations of heat extremes in the Yangtze River Delta (YRD) from 2001 to 2023. First, the daily maximum Ta of cloud-free pixels was estimated through machine learning algorithms from MODIS land surface temperature (LST) and other remote sensing data. Then, gaps in the estimated Ta caused by cloud cover were filled using the Temporal Fourier Analysis (TFA) method, generating a seamless daily maximum Ta dataset. The remotely sensed Ta achieved an overall MAE of 1.11°C. Based on the remotely sensed Ta, six heat indices were calculated to characterize heat extremes, including heat days (HTD), effective accumulated high temperature (EAHT), heatwave frequency (HWF), cumulative heatwave days (HWD), maximum heatwave duration (HWMD) and average heatwave duration (HWAD). Heat extremes occurred frequently in the YRD, with obvious spatial variability. Southern basins experienced intense heat with high frequency and duration, while southern mountains and northern areas experienced weaker heat extremes. Urban areas have substantially more intense heat events than suburbs, attributed to urban heat island effect. 2022 recorded the most severe heat, with notable events also in 2013 and 2003. This study provides valuable insights into heat events in the YRD and serves as a reference for remote sensing research on heat events.

THE EFFICIENCY OF IRRIGATION IN CORN CULTIVATION UNDER THE IMPACT OF CLIMATE CHANGE IN SOUTHEASTERN ROMANIA: ADAPTATION AND OPTIMIZATION. A REVIEW

Climate change significantly affects corn cultivation in Romania, leading to an increase in the frequency of droughts and heatwaves, as well as changes in precipitation patterns. In this context, irrigation becomes a crucial solution for maintaining production stability and reducing the risk of agricultural losses.This study analyzes the impact of irrigation systems on corn cultivation, highlighting effective methods of water management under water stress conditions. Different irrigation techniques, such as drip and sprinkler irrigation, were evaluated to optimize water application during the critical stages of plant development.Additionally, the research addresses the genetic adaptation of corn to new climate conditions through the use of drought- and heat-resistant hybrids, which can sustain productivity even during periods of extreme stress.Through climate and agricultural models, we estimated the long-term impact of climate change on corn yields, proposing adaptation scenarios based on sustainable practices, crop rotation, and technological innovations. The results show that optimized irrigation and the selection of climate-adapted hybrids can significantly reduce production losses and support Romanian agriculture in the face of challenges generated by climate change. Our study emphasizes the importance of implementing long-term strategies to maintain sustainable corn production and presents viable solutions for Romanian farmers in the context of current and future climate changes.

The impact of a weakened AMOC on European heatwaves

Abstract In our changing climate we expect an increase in the frequency of heatwaves, which are extreme events that can have severe consequences for human health, ecosystems, and economies. In this study, we examine how the weakening of the Atlantic Meridional Overturning Circulation (AMOC) may influence the occurrence of extreme warm events in Europe. Our analysis is based on a series of numerical experiments conducted using the EC-Earth3 climate model, which includes three ensembles of 20 Atmospheric Model Intercomparison Project (AMIP)-like members. The large ensemble size makes these simulations well-suited to studying rare extreme events.
Our findings reveal that during boreal summer, the Northern Hemisphere (NH) experiences overall mean cooling, most pronounced in the North Atlantic region. Therefore, the extreme warm events in Europe identified by using a fixed threshold tend to be less frequent. However, the cooling pattern reduces the meridional gradient of near-surface air temperature at high latitudes of the NH. As a result, the speed of the summer jet stream decreases, while the frequency of Ural atmospheric blocking events increases. Atmospheric blocking in summer is closely linked to heatwaves, primarily through subsidence warming and enhanced downward shortwave radiation under clear sky conditions. Consequently, the weakening of the AMOC leads to an increased frequency of heatwaves in Eastern Europe, the only region that presents this opposite trend.
This study highlights the significant role that three-dimensional ocean circulation plays in shaping weather patterns, including extreme events such as heatwaves in Europe. These findings have important implications for future climate projections, as the AMOC is expected to weaken by the end of this century. Thus, as the Earth continues to warm, we may face an increased risk of heatwaves due to the combined effects of global warming and a weakening AMOC.

Assessing the Reliability of Predicted Decadal Surface Temperatures in Southeast Asia

Climate predictions spanning 10-year periods, known as Decadal Climate Predictions (DCPs), have become an important aspect of the latest Coupled Model Intercomparison Project (CMIP6). These DCPs have the capability to capture the El Niño-Southern Oscillation (ENSO) phenomena, which affects heatwave frequency in Southeast Asia over years to decades. This research assesses the ability of six General Circulation Model (GCM) DCPs to predict surface temperature over the Southeast Asian region, using the dcpp-A hindcast as the main product. The metrics of Anomaly Correlation Coefficient (ACC) and Mean Error (ME) are employed to assess the model outputs, with 51 hindcast datasets spanning initial years from 1960 to 2010 and ERA5 reanalysis data serving as the reference. The evaluation reveals that DCP model skill varies across lead times and subregions, with no single model consistently outperforming the others. The highest correlation values are observed during the September-October-November (SON) season, and the ENSEMBLE model demonstrates the ability to increase correlation values compared to the individual DCP models. However, the ENSEMBLE approach is unable to effectively reduce ME values due to the contrasting errors among individual models. PBIAS metric aligns with the ME, consistently identifying similar areas of underestimation (mainland) and overestimation (maritime continent) across the models. Despite these challenges, the evaluation results highlight the potential of DCPs in predicting surface temperature variability for the Southeast Asian region over decadal periods, particularly in capturing ENSO-related signals. Further improvements in model initializations, internal variability representation, and bias reduction are necessary to enhance the utility of CMIP6 decadal predictions for heatwave preparedness and mitigation strategies in this vulnerable region.

Different Atmospheric Circulation Patterns Associated With Heatwaves Over Northeastern Siberia in July and August

ABSTRACTGlobally, heatwaves have become more frequent over recent decades. Summer Siberian heatwaves have received less attention, even though ecosystems are vulnerable to high temperatures. This study investigates and compares the atmospheric circulation patterns associated with northeastern Siberian heatwaves in July and August. The results suggest a strong teleconnection between eastern Europe and northeastern Siberia, similar to the British–Okhotsk Corridor pattern, along a strengthened polar jet when frequent heatwaves occur in July. However, this teleconnection is less clear in northeastern Siberia in August due to weak Rossby wave activity linked to the waveguide effect. Instead, the formation of northeastern Siberian heatwaves in August is related to abnormally low pressure over the Arctic, as supported by a linear baroclinic model experiment. Additionally, the abnormally high pressure over northeastern Siberia may influence weather in the northwestern Pacific. These findings enhance the current understanding of summer Siberian heatwaves, suggesting their connection to Arctic atmospheric circulation and their importance for subseasonal weather predictions in the northwestern Pacific.

Critical Role of Area Weighting on Estimated Long-Term Global Warming and Heat Wave Trends

Regular longitude-latitude grids are commonly used in reanalysis and climate prediction model datasets. However, this approach can disproportionately represent high-latitude regions if simple averaging is applied, leading to overestimation of their contribution. To explore the impact of Earth’s curvature on global warming and heat wave frequency, this study analyzed 450 years of surface temperature data (1850–2300) from a climate prediction model. When area weighting was applied, the global average temperature for the 1850–2300 period was found to be 8.2 °C warmer than in the unweighted case, due to the reduced influence of colder temperatures in high latitudes. Conversely, the global warming trend for the weighted case was 0.276 °C per decade, compared to 0.330 °C per decade for the unweighted case, reflecting a moderation of the polar amplification trend. While unweighted models projected a 317% increase in the frequency of global heat waves above 35 °C by 2300 compared to 1850, the weighted models suggested this frequency might be overestimated by up to 5.4%, particularly due to reduced weighting for subtropical deserts relative to tropical regions. These findings underscore the importance of accounting for Earth’s curvature in climate models to enhance the accuracy of climate change projections.

Heat Wave and Drought Trends in the Northeast of Brazil and their Impact on Sugarcane, Corn and Soybean Production

Objectives: This study sought to analyze the trends of heat waves and droughts in Northeastern Brazil and their impacts on agricultural production of sugarcane, corn and soybeans, with emphasis on water scarcity. Theoretical Framework: It was based on studies about climate change and its effects on agriculture, highlighting indices such as the SPI and CTX90pct for the analysis of drought and heat waves. Method: The standard precipitation index (SPI) and regression models were used to correlate climate data with time series of agricultural production, as well as descriptive statistical analyzes. Results and Discussion: We identified periods of extreme drought, increased frequency of heat waves, and significant falls in agricultural productivity. Technological practices, such as advanced irrigation, have shown promise in mitigating these impacts. Implications of Research: It contributes to the understanding of the relations between climate change and agriculture, assisting in the formulation of adaptation and mitigation strategies. Originality/Value: This study contributes to the literature by the originality of its research, either by the innovative approach in the integrated analysis of heat waves and droughts in the Northeast of Brazil, or by the new discoveries related to the correlation between extreme climatic events and agricultural productivity. The relevance and value of this research is evidenced by demonstrating that the adoption of advanced irrigation technologies can mitigate the impacts of climate change on the production of sugarcane, corn and soybeans, offering subsidies for the development of adaptive strategies and greater sustainability in agriculture in the region.

Development of a New Generalizable, Multivariate, and Physical-Body-Response-Based Extreme Heatwave Index

The primary goal of this study is to introduce the initial phase of developing an impact-based forecasting system for extreme heatwaves, utilizing a novel multivariate index which, at this early stage, already employs a combination of a statistical approach and physical principles related to human body water loss. This system also incorporates a mitigation plan with hydration-focused measures. Since 1990, heatwaves have become increasingly frequent and intense across many regions worldwide, particularly in Europe and Asia. The main health impacts of heatwaves include organ strain and damage, exacerbation of cardiovascular and kidney diseases, and adverse reproductive effects. These consequences are most pronounced in individuals aged 65 and older. Many national meteorological services have established metrics to assess the frequency and severity of heatwaves within their borders. These metrics typically rely on specific threshold values or ranges of near-surface (2 m) air temperature, often derived from historical extreme temperature records. However, to our knowledge, only a few of these metrics consider the persistence of heatwave events, and even fewer account for relative humidity. In response, this study aims to develop a globally applicable normalized index that can be used across various temporal scales and regions. This index incorporates the potential health risks associated with relative humidity, accounts for the duration of extreme heatwave events, and is exponentially sensitive to exposure to extreme heat conditions above critical thresholds of temperature. This novel index could be more suitable/adapted to guide national meteorological services when emitting warnings during extreme heatwave events about the health risks on the population. The index was computed under two scenarios: first, in forecasting heatwave episodes over a specific temporal horizon using the WRF model; second, in evaluating the relationship between the index, mortality data, and maximum temperature anomalies during the 2003 summer heatwave in Spain. Moreover, the study assessed the annual trend of increasing extreme heatwaves in Spain using ERA5 data on a climatic scale. The results show that this index has considerable potential as a decision-support and health risk assessment tool. It demonstrates greater sensitivity to extreme risk episodes compared to linear evaluations of extreme temperatures. Furthermore, its formulation aligns with the physical mechanisms of water loss in the human body, while also factoring in the effects of relative humidity.

Using Machine Learning Approaches to Enhance Heatwave Measurement for Vulnerability Assessment and Timely Management of Heat-related Health Services

Climate change is one of the most critical challenges facing Australia and the global community today. Data from the Australian Bureau of Meteorology (BoM) indicates that Australia has been experiencing rising temperatures, particularly since the late 20th century. The frequency, duration, and intensity of heatwaves are projected to continue increasing . Since national records began in 1910, Australia has warmed by an average of 1.47°C (±0.24°C), with the highest official temperature recorded at 50.7 degrees Celsius in Onslow, Western Australia (WA), on January 13, 2022. Furthermore, a recent unprecedented high temperature of +41.6°C was recorded during winter on August 26, 2024, in Yampi Sound, WA. Among all natural disasters in Australia, heatwave (HW) represents a leading silent killer and pose a significant public health threat. However, innovative methods for assessing vulnerability for HW-related health services remain limited.

Impact of exogenous rhamnolipids on plant photosynthesis and biochemical parameters under prolonged heat stress.

High temperatures severely affect plant growth and development leading to major yield losses. These temperatures are expected to increase further due to global warming, with longer and more frequent heat waves. Rhamnolipids (RLs) are known to protect several plants against various pathogens. To date, how RLs act under abiotic stresses is unexplored. In this study, we aimed to investigate whether RLs could modify Arabidopsis thaliana physiology during prolonged heat stress. Measurement of leaf gas exchange and chlorophyll fluorescence showed that heat stress reduces photosynthetic rate through stomatal limitation and reduction of photosystem II yield. Our study reported decreased chlorophyll content and accumulation of soluble sugars and proline in response to heat stress. RLs were shown to have no detrimental effect on photosynthesis and carbohydrate metabolism in all conditions. These results extend the knowledge of plant responses to prolonged heat stress.

Fertility up in flames: Reduced fertility indices as a consequence of a simulated heatwave on small African mammals

AbstractWith the increasing frequency and intensity of heatwaves due to climate change, the survival and reproductive success of mammals could be under significant threat. However, the specific effects of these environmental stressors on mammalian reproductive fitness remain insufficiently explored. This study investigates the impact of a simulated heatwave on male fertility indices in two African rodent species: the mesic four‐striped field mouse (Rhabdomys dilectus) and the Namaqua rock mouse (Micaelamys namaquensis) during the breeding season. We measured key indicators of male fertility, including testes mass, testes volume, seminiferous tubule diameter, the presence of sperm, and plasma testosterone levels. Our findings reveal that both species experienced significant effects on male fertility indices, with the smaller R. dilectus showing a decline in all fertility indices following a simulated heatwave. These results suggest that the projected increase in heatwave events may compromise the reproductive success of small mammals, potentially leading to population declines. Finally, this study highlights the need for focused studies on the effect of heatwaves on long‐term reproductive success in both males and females.

Occurrence of the thermotolerant zoochlorellae <i>Symbiochlorum hainanense</i> associated with hydrocorals in the Southwestern Atlantic Ocean

The monospecific <i>Symbiochlorum</i> genus (Ulvophyceae) was recently described and found to be associated with bleached corals in the South China Sea. A new microchlorophyte strain was isolated from the hydrocoral <i>Millepora alcicornis</i> collected in a reef system in the Southwestern Atlantic Ocean. Cells undergo multiple fission to release quadriflagellated spores. The strain’s phenotypical traits are consistent with a benthic lifestyle. Growth rates were equally high (0.3 d<sup>-1</sup>) at 24°C and 32°C, confirming its thermotolerance. Bayesian and Maximum likelihood phylogenetic reconstruc tions concatenating 18S rDNA, <i>tuf</i>A, and <i>rbc</i>L gene sequences placed the new strain in the <i>Symbiochlorum</i> genus, highly distinct from its former representatives, Ignatius tetrasporus and <i>Pseudocharacium americanum</i>, but as a sister strain to Pacific isolates of <i>Symbiochlorum hainanense</i>. This is the first report of the occurrence of <i>S. hainanense</i> in the Atlantic Ocean. Repeated and more frequent heat waves oceanwide may favor the spread and increase of thermotolerant organ isms such as <i>S. hainanense</i> in corals, with unforeseeable consequences for coral reefs' resilience.

Deciphering heat wave effects on wheat grain: focusing on the starch fraction.

Wheat is an essential staple food, and its production and grain quality are affected by extreme temperature events. These effects are even more relevant considering the increasing food demand for a growing world population and the predicted augmented frequency of heat waves. This study investigated the impact of simulated heat wave (HW) conditions imposed during grain filling on starch granule characteristics, endosperm ultrastructure, and transcriptomic modulation of genes involved in starch synthesis and degradation. All these evaluations were performed with four different genotypes, two commercial wheat varieties (Antequera and Bancal), and two traditional landraces (Ardito and Magueija). Starch granule size distribution and shape were significantly altered by HW treatment, revealing an increase of A-type granules in Ardito and an opposite effect in Magueija and Bancal, while Antequera remained stable. Analysis of the largest (LD) and smallest (SD) granule diameters also revealed genotype-specific changes, with Magueija showing a shift toward more spherical A-type granules after the HW treatment. Scanning electron microscopy confirmed alterations in endosperm morphology, including increased vitreousness in Bancal and substantial increase of endosperm cavities and grain size reduction in Magueija under HW stress. The transcriptomic analysis confirmed the stability of Antequera under HW, in contrast with the other genotypes where differential gene expression related to starch metabolism was detected. These effects were particularly severe in Magueija with the downregulation of genes encoding for enzymes involved in amylopectin synthesis (both starch synthases and starch-branching enzyme) and upregulation of α-amylase-encoding genes. These findings contribute to the understanding of heat stress effects on wheat grain quality, emphasize the importance of genetic diversity in HW responses, and suggest potential avenues for breeding climate-resilient wheat varieties.

Physiological Adaptations of Vegetables to Climate Stress

Vegetables, being rich in vitamins, carbohydrates, minerals, proteins and antioxidants are essential for overcoming micronutrient deficiencies, offering higher incomes and more employment opportunities per hectare to smallholder farmers compared to staple crops. Major challenges faced by vegetable growers are increased terminal heat stress, rainfall variability leading to flooding, drought, irrigation water availability, salinity, incidence of pests and diseases, extreme weather events. These gets further worsened in the future due to climate change. Vegetables exhibit various physiological adaptations to cope with changing environmental conditions such as enhanced photosynthetic efficiency, improved water-use efficiency, and altered phenological development. Higher temperatures accelerate the life cycle of vegetables cause increased respiration, leading to earlier maturation and potentially lower yields. Increased frequency of heat waves can cause heat stress, affecting growth and development. Moreover elevated temperatures increase the incidence of pests and diseases, leading to higher crop losses. Changes in precipitation patterns alter water availability, impacting growth and productivity. Nevertheless drought conditions cause stomatal closure limiting water loss besides reducing CO2 uptake. Excessive rainfall can lead to waterlogging, disrupting root function and nutrient uptake. Variability in climate conditions lead to inconsistent yields, making it challenging for farmers and necessitating adaptive strategies to ensure crop resilience and productivity. Genetic improvement through breeding for heat and drought tolerance helps to develop resilient vegetables. Additionally, agronomic practices like mulching, organic farming, and resource conservation technologies help mitigate the adverse effects of climate change. Understanding these physiological responses could streamline sustainable vegetable production in the face of a changing climate.

Indoor heat in Amsterdam: Comparing observed indoor air temperatures from a professional network and from a citizen science approach

Ongoing climate change is increasing summertime temperatures, and frequency and intensity of heatwaves in Europe, which can threaten human health. Relatively little is known about how quickly outdoor heat penetrates into residences during heatwaves. Long-term and systematic networks recording indoor temperatures are challenging to install and maintain, and therefore scarce. We first report on crowdsourced indoor air temperature data in residences in Amsterdam (The Netherlands) during a heatwave event in September 2023. These data complement professional long-term indoor air temperature observations in 92 houses in Amsterdam. Second, we document the lessons learnt in the design and execution of this citizen science activity. 571 indoor temperature records were collected through the citizen science crowdsourcing approach, with a median value of 28.0 °C on the warmest day in the study period, while outdoor mean minimum and maximum temperatures reached 20.6 °C and 31.1 °C respectively. The results indicate that the crowdsourcing approach reports temperatures that are significantly higher than the professional approach, which supports the need for professional indoor networks. Finally, local media attention was critical in reaching a wide audience.

An Innovative Collaboration-Based Ozone and Aerosol Observation Network in Northeast Asia

Abstract Situated in close proximity to the Korea Peninsula and the Japan Islands, Shandong Province in China (SDP) has emerged as a focal point for global attention due to its significant surface ozone (O3) and aerosol pollution. Despite this attention, there are notable gaps in knowledge across various interconnected research domains, encompassing climate change, atmospheric circulation, anthropogenic emissions, and the chemistry of O3 and aerosols. The impact of frequent heat waves on regional O3 and aerosol pollution remains unclear, while our comprehension of atmospheric circulation dynamics and the chemistry involved with O3 and aerosols is still hampered by substantial limitations. The unique topography and geographical setting of SDP, with its complex interplay of factors like sea–land breezes, mountain–valley winds, and urban heat islands, make it an ideal location for investigating the dynamics of O3 and aerosol chemistry. Moreover, it is essential to explore the effects of transboundary transport on O3 and aerosol pollution and delve into the underlying mechanisms contributing to their combined pollution effects. To bridge these knowledge gaps, the Innovative Collaboration-Based Ozone and Aerosol Observation Network in Northeast Asia has been established through collaborative efforts involving the Bureaus of Ecology and Environment, Meteorology in SDP, and the Chinese Academy of Sciences. This network encompasses various components, including air quality and weather stations, a network of low-cost air quality sensors, monitoring stations focused on atmospheric photochemical smog and aerosol chemical speciation, and vertical measurement systems targeting O3 and its precursor gases (utilizing light detection and ranging, balloon sounding, and drone-based measurements), as well as measurements conducted via vehicles and ships. Additionally, preliminary findings from this comprehensive observational campaign will be shared.

Spatiotemporal variations and influencing factors of heatwaves in Chengdu, China

In the context of global warming and rapid urbanization, the impacts of heatwaves on urban residents and socioeconomic activities are becoming increasingly pronounced. This study examines the spatiotemporal variations and influencing factors of heatwaves in Chengdu from 1961 to 2019, utilizing methods such as trend analysis, gravity center movement, time series clustering, and GeoDetector. The findings reveal a significant increase in the frequency, duration, and intensity of heatwaves since 1994, with an average rise of 2.14 °C per decade, and a spatial distribution that decreases from east to west. Heatwave intensity is closely linked to temperature and elevation, as well as atmospheric factors such as the intensity of the Western Pacific Subtropical High and the Tibetan High. Notably, despite an increase in blue-green spaces in Chengdu over the past 10 years, heatwave intensity has intensified, indicating that at the city-wide scale, the effects of urbanization and global warming outweigh the climate regulation benefits of blue-green spaces. This research enhances the understanding of urban heatwaves in Chengdu and Southwest China, providing a scientific foundation for effective heatwave risk assessment and climate change adaptation strategies. Furthermore, it offers insights for other megacities confronting similar heatwave challenges.

East–West asymmetry in intensity, duration, frequency of heatwaves over Northern India

East–West asymmetry in intensity, duration, frequency of heatwaves over Northern India