Frequency Of Extreme Climatic Events Research Articles

The effect of climate change on crop yield anomaly in Europe

AbstractEvery human needs sufficient, safe, and nutritious food to live an active and healthy life. Climate change, especially more frequent extreme climate events, increasingly affects crop yields. Unpredictable losses in crop production pose a high risk to our food systems, thus threatening agricultural producers and consumers worldwide. This study analyzes the effect of climate change on wheat, maize, and barley yield anomalies for the major producing countries in the EU. Applying the Random Forest machine learning model, climate indicators, comprising mean and extreme climate conditions, explain 18% of crop yield anomalies across crops and countries from 1961 to 2020. The predictive power of climate indicators is highest for maize with 24%, followed by barley with 22% and wheat with 3%. However, mean climate indicators are stronger associated with crop yield anomalies than extreme climate indicators. Temperature‐ and soil moisture–related indicators are more important than precipitation‐related indicators. The results reveal a nonlinear relationship between climate indicators and crop yields. Thresholds lead to a sharp decrease or increase in crop yields. Under SSP3‐7.0, rising temperatures tend to increase crop yield losses until 2100 without effective adaptation measures. The impact of changing soil moisture–related indicators depends on crop and country. Our study discusses adaptation strategies but also emphasizes the relevance of global mitigation efforts to reduce climate‐induced crop risk and to improve our food system's resilience.

Investigating the long-term response of plateau vegetation productivity to extreme climate: insights from a case study in Qinghai Province, China.

Over the past three decades, there has been a significant global climate change characterized by an increase in the intensity and frequency of extreme climate events. The vegetation status in Qinghai Province has undergone substantial changes, which are more pronounced than other regions in the Qinghai-Tibet Plateau. However, a clear understanding of the response characteristics of plateau vegetation to extreme climate events is currently lacking. In this study, we investigated the response of net primary productivity (NPP) to different forms of extreme climate events across regions characterized by varying levels of aridity and elevation gradients. Specifically, we observed a significant increase in NPP in relatively arid regions. Our findings indicate that, in relatively arid regions, single episodes of high-intensity precipitation have a pronounced positive effect (higher correlation) on NPP. Furthermore, in high-elevation regions (4000-6000m), both the intensity and frequency of precipitation events are crucial factors for the increase in regional NPP. However, continuous precipitation can have significant negative impacts on certain areas within relatively wet regions. Regarding temperature, a reduction in the number of frost days within a year has been shown to lead to a significant increase in NPP in arid regions. This reduction allows vegetation growth rate to increase in regions where it was limited by low temperatures. Vegetation conditions in drought-poor regions are expected to continue to improve as extreme precipitation intensifies and extreme low-temperature events decrease.

Exponential increases in high-temperature extremes in North America

Global warming in the 21st century will alter the frequency of extreme climatic events, such as high-temperature anomalies and “heat waves”. Observations of extreme high temperatures during recent decades have detected upward trends in their frequency of occurrence, and recent state-of-the-art Global Climate Models (GCMs), e.g., Climate Model Intercomparison Projects (CMIPs), notably CMIP5 and CMIP6, have predicted acceleration of temperature trends and high-temperature events by 2100 under projected greenhouse-gas emission scenarios. Hence, the 21st century is expected to experience substantial shifts in the occurrence of extreme events, where present-day, extreme-but-rare high-temperature events will become common during the summer months. The increasing frequency of extreme heat may affect the health and resiliency of social, biological, and infrastructure systems in many regions worldwide, underscoring the need for accurate and reliable long-term assessments of climatic change across global and regional scales. So far, many investigations of high-temperature extremes have been carried out under end-point scenarios, e.g., by comparing GCM-projected changes in the frequency of high-temperature extremes expected in the late 21st century to the late 20th century. In this study, we use extreme value theory and decades of observations of high-temperature extremes at thousands of meteorological stations across North America to investigate continuous shifts in the frequency of extreme high-temperature events due to projected local warming trends. We find that the odds of exceedance of 50-year extreme high-temperature events increases exponentially with increases in mean local temperature. At a majority of the stations studied here, a local mean temperature increase of 0.5–1 ^{circ }C can double the odds of exceedance of 50-year extreme high-temperature events. Based on time-dependent temperature projections, the odds of exceedance of 50-year extreme high-temperature events doubles approximately every 20 years (or sooner) for sim 96% of the stations. Moreover, we find that, for sim 80% of the stations in North America, investigated here, the 50-year extreme high-temperature events will be exceeded annually before 2100.

How Can Girls’ Education and Family Planning Improve Community Resilience to Climate Change in the Sahel?

Population growth and climate change are currently the two greatest threats to food security in the Sahel region of Africa. The population of the countries that make up the Sahel is projected to nearly double by 2050, from 506 million to 912 million. Paired with the expected rise in temperature and increased frequency of extreme climatic events, these numbers could quickly overwhelm relief efforts. Strengthening human capital and economic stability are critical to prevent catastrophic suffering. This article recommends two evidence-based approaches that expand women’s autonomy and support their income-earning potential while building resilience to climate change. The first recommendation, would be greater investments in adolescent girls’ education and autonomy, including efforts to delay marriage and childbearing. The second calls for an improvement in the availability and quality of reproductive health services, with a special focus on voluntary family planning. These interventions can increase incomes, reproductive autonomy and gender equity which build community resilience and adaptability to climate change.

An open-source tool for improving on-farm yield forecasting systems

IntroductionThe increased frequency of extreme climate events, many of them of rapid onset, observed in many world regions, demands the development of a crop forecasting system for hazard preparedness based on both intraseasonal and extended climate prediction. This paper presents a Fortran version of the Crop Productivity Model AquaCrop that assesses climate and soil fertility effects on yield gap, which is crucial in crop forecasting systemsMethodsFirstly, the Fortran version model - AQF outputs were compared to the latest version of AquaCrop v 6.1. The computational performance of both versions was then compared using a 100-year hypothetical experiment. Then, field experiments combining fertility and water stress on productivity were used to assess AQF model simulation. Finally, we demonstrated the applicability of this software in a crop operational forecast system.ResultsResults revealed that the Fortran version showed statistically similar results to the original version (r2 > 0.93 and RMSEn < 11%, except in one experiment) and better computational efficiency. Field data indicated that AQF simulations are in close agreement with observation.ConclusionAQF offers a version of the AquaCrop developed for time-consuming applications, such as crop forecast systems and climate change simulations over large areas and explores mitigation and adaptation actions in the face of adverse effects of future climate change.

Rapid geomorphological evolution in the Mediterranean Basilicata region (southern Italy) during Little Ice Age

There is a general consensus that the increased frequency of extreme climatic events will quickly change the morphology of the landscapes in the Mediterranean area. Knowing and understanding the expected changes becomes crucial for defining future adaptive strategies. This paper deals with the very rapid geomorphological evolution in an emblematic Mediterranean area, the Basilicata region of southern Italy, during the last 300 years. The results show that the landscape evolution was mainly controlled by the extreme sensitivity of surface processes to climate change. Landslides, a new cycle of the formation of badland landforms such as calanchi and biancane, and an aggradation/incision phase in the main river valleys have completely reshaped the landscape of the Bradanic Trough, whereas fresh eroded material was moved to the coast. New data on valley-fill alluvium in the Basento River and one of its main left tributaries, the Vella stream, show ages ranging from 1700 to 1850. This deposition phase coincides with the Little Ice Age, an epoch of global climate variability. Previous literature showed that the alluvium of this age consists of a mappable stratigraphic unit outcropping in all the large alluvial valleys of the Basilicata and Mediterranean regions. Palaeoclimate and high-resolution palaeoflood data indicate that valley-fill alluviation occurred during a long humid period. Valley aggradation ended in approximately 1850 with the beginning of a new phase of historic arroyo cutting, mainly due to high magnitude-low frequency rainy events within prolonged drought periods. The stream incision drew the terminal dissection of the clayey slopes into biancana rounded morphologies. These data seem to be confirmed by the comparable heights of about 3 m, both of the biancane and of the fluvial terraces.

Examining trends in temperature and precipitation mean/extremes over Gandaki Province, Nepal

Abstract Despite the increased frequency of extreme climate events including their significance in Nepal's socio-economy, climate studies have seldom considered extremes, and even fewer have considered them in combination with temperature and precipitation. This study aimed at examining the trend of climate variables in Gandaki Province, Nepal. Daily temperature and precipitation data of five stations between 1990 and 2020 were analyzed. Modified Mann–Kendall and Sen's slope methods were used to detect trend and magnitude. The Mann–Whitney–Pettitt test was used to detect abrupt changes, and the Pearson correlation coefficient was used to find the correlation. The result showed an increasing trend and a significant abrupt change in the maximum temperature for all stations. A decreasing trend in the minimum temperature was observed in the Himalayas and the Hill region, whereas an increasing trend was seen in Siwalik and Terai regions. The Jomsom station, however, behaved differently by showing an increasing trend in precipitation and the number of rainy days. The majority of the temperature indices showed an increasing trend unlike precipitation indices, which showed a mixed result. The maximum five-day precipitation and consecutive dry days showed a significant positive correlation with altitude. The results indicate an increase in the frequency and intensity of extreme climate conditions in Gandaki Province.

Heat waves accelerate the spread of infectious diseases

COVID-19 pandemic appeared summer surge in 2022 worldwide and this contradicts its seasonal fluctuations. Even as high temperature and intense ultraviolet radiation can inhibit viral activity, the number of new cases worldwide has increased to >78% in only 1 month since the summer of 2022 under unchanged virus mutation influence and control policies. Using the attribution analysis based on the theoretical infectious diseases model simulation, we found the mechanism of the severe COVID-19 outbreak in the summer of 2022 and identified the amplification effect of heat wave events on its magnitude. The results suggest that approximately 69.3% of COVID-19 cases this summer could have been avoided if there is no heat waves. The collision between the pandemic and the heatwave is not an accident. Climate change is leading to more frequent extreme climate events and an increasing number of infectious diseases, posing an urgent threat to human health and life. Therefore, public health authorities must quickly develop coordinated management plans to deal with the simultaneous occurrence of extreme climate events and infectious diseases.

Impacts of extreme climate on nitrogen loss in different forms and pollution risk with the copula model

Climate change is a key factor that profoundly affects aquatic environments. Because of climate warming, the increase in the intensity and frequency of extreme climate events has aggravated the uncertainty of nitrogen pollution. However, the risk of nitrogen loss under different climatic conditions has not been well assessed, which is of great significance for controlling diffuse pollution. In this study, we used the upper and middle Wei River Basin (UMWB) as the study area, and selected organic nitrogen (Org-N) and nitrate (NO3-N) as the two forms of nitrogen pollution. Then, we quantified the contributions of 10 climate factors and combined the Soil and Water Assessment Tool (SWAT) and copula to analyze the risk of pollution when extreme weather occurs. Our results showed that during periods of high precipitation and temperature, Org-N loss accounted for 96% and 83% of the total loss, and nitrate loss accounted for 74% and 67%, respectively. Org-N loss responded more strongly to high precipitation than nitrate loss because Org-N was transported with soil particles. The attribution analysis indicated that high precipitation amount (R95P) contributed to the largest Org-N loss. As for the nitrate loss, R95P, normal precipitation amount, and consecutive days with no precipitation were the most important climatic drivers, accounting for 35%, 32%, and 13% of the watershed area, respectively. After selecting critical source areas by identification method, an optimized copula model for nitrogen loss and the main climatic factors was proposed. The risk of nitrogen pollution under the defined climate severity was then quantified. The probabilities of Org-N and nitrate loss exceeding the top 1%–20% were 0.2%–15% and 0.8%–10% when the precipitation exceeded the top 20%. The pollution risk caused by high temperatures is lower than that caused by precipitation. This study emphasized the dominant role of extreme climate in driving nitrogen loss and proposed a method for quantifying the risk of nitrogen pollution under specific climate conditions, which enabled managers to identify high-risk pollution areas and optimize management measures to prevent diffuse nitrogen pollution.

Nutrient availability regulates Deschampsia antarctica photosynthetic and stress tolerance performance in Antarctica.

Deschampsia antarctica is one of the only two native vascular plants in Antarctica, mostly located in the ice-free areas of the Peninsula's coast and adjacent islands. This region is characterized by a short growing season, frequent extreme climatic events, and soils with reduced nutrient availability. However, it is unknown whether its photosynthetic and stress tolerance mechanisms are affected by the availability of nutrients to deal with this particular environment. We studied the photosynthetic, primary metabolic, and stress tolerance performance of D. antarctica plants growing on three close sites (<500 m) with contrasting soil nutrient conditions. Plants from all sites showed similar photosynthetic rates, but mesophyll conductance and photobiochemistry were more limiting (~25%) in plants growing on low-nutrient availability soils. Additionally, these plants showed higher stress levels and larger investments in photoprotection and carbon pools, most probably driven by the need to stabilize proteins and membranes, and remodel cell walls. In contrast, when nutrients were readily available, plants shifted their carbon investment towards amino acids related to osmoprotection, growth, antioxidants, and polyamines, leading to vigorous plants without appreciable levels of stress. Taken together, these findings demonstrate that D. antarctica displays differential physiological performances to cope with adverse conditions depending on resource availability, allowing it to maximize stress tolerance without jeopardizing photosynthetic capacity.

Climate Seasonality Mediates Global Patterns of Foliar Carbon and Nitrogen Isotopes

Frequent extreme climate events have significantly affected plant intrinsic water-use efficiency (iWUE) and forest nitrogen (N) availability. Understanding the coupling between climate seasonality and plant water, carbon, and nitrogen may provide insights into how plants respond to climate change. Here, we integrated Δ13C and δ15N in woody plant leaves as a probe to elucidate the iWUE and N availability patterns of plants under global change and found that woody plants from sites with high climate seasonality, especially precipitation seasonality, tend to have improved iWUE and N availability compared with those with low seasonality. Specifically, high potential evapotranspiration, solar radiation, vapor pressure deficit, and low precipitation during the growth season are the driving factors. The intra-annual and annual climate explained 43% and 49% of Δ13C and 40% and 53% of δ15N, respectively, suggesting that the intra-annual climate is at least as important as the annual climate. These results suggest that not only the direction (decrease vs. increase) of decadal climate should be counted but also the abnormal fluctuation of intra-annual should be considered. Climate seasonality is a more suitable ecological filter for determining plant distribution across terrestrial ecosystems.

The impact of an extreme climatic event on adder (Vipera berus) demography in southern Sweden

AbstractClimate change has been shown to have significant negative effects on wildlife populations owing to both gradual shifts in mean climatic conditions and an increased frequency of extreme climatic events. Based on a long-term study spanning 40 years, we explore the demographic effect of the exceptionally hot and dry summer of 2018 on the demography of an isolated adder (Vipera berus) population in southern Sweden. In spring 2019, we observed a dramatic decline in adder relative body mass and a concomitant 50% reduction in population size. Our results strongly suggest that the negative impacts on adder demography were the result of a combination of low prey abundance and adder dehydration caused by the extreme climatic conditions during the previous summer. The study provides an example of the significant negative effects of ongoing climate change on vertebrate populations and emphasizes the importance of long-term studies to document the demographic effects of extreme climatic events.

Research on the optimal allocation of agricultural water and soil resources in the Heihe River Basin based on SWAT and intelligent optimization

In the context of global climate change, changes in precipitation and temperature conditions, especially the increasing frequency of extreme climate events, have a severe impact on agricultural production. Predicting climate change and adjusting planting structures over time are critical to sustainable agricultural development. In this study, the Coupled Model Intercomparison Project Phase 6 (CMIP6) and Soil and Water Assessment Tool (SWAT) models were used to simulate the future climate and runoff in the middle reaches of the Heihe River Basin (MHR). Then, the MOPSO and NSGA-II were used to plan future planting structures. The results showed that the temperature and precipitation in the MHR showed an increasing trend. By the 2070 s, the temperature was projected to increase by more than 2 °C under SSP245, while that under SSP585 was more than 4 °C. The annual mean precipitation was projected to increase, but the distribution was uneven, and the increased precipitation was mainly concentrated in spring and autumn. Under the interaction of temperature and precipitation, the runoff of the Heihe River will increase in the future, especially under SSP585, and the runoff of the Heihe River is projected to reach 2.48 billion m³/a in the 2070 s. Crop water demand was projected to increase with temperature, and crop irrigation water demand would increase by 14.4 % in the 2070 s under SSP245. Planting vegetables helps to improve agricultural economic benefits and carbon sinks, but to control soil erosion, the area of vegetables is best kept at approximately 16 %. Fertilizers and agricultural films are the primary carbon sources in agricultural production activities in MHR, accounting for more than 60 % of the total carbon. This study suggests promoting sustainable agricultural development by improving irrigation efficiency, using low-carbon fertilizers, controlling soil erosion, and gradually expanding the vegetable planting area with a considered ecological environment.

Solar activity dominated the multidecadal- to centennial-scale humidity oscillations during the Little Ice Age in arid central Asia

Climatic instability has major impacts on water resources and catastrophic effects on fragile ecosystems in arid Central Asia (ACA). Short-term (decadal to centennial) climate fluctuations over the last millennium can help predict whether future climate instability and the frequency of extreme climate events will increase. Research has revealed higher moisture variability during the Little Ice Age (LIA) than during the Medieval Warm Period (MWP). However, the age control quality and temporal resolution of the proxy records that are used make it difficult to characterize the specific unstable climate fluctuations on decadal to centennial scales. Here, we present a well‐dated high‐resolution ostracod record from a remote alpine lake (Dalongchi Lake) in the central Tianshan Mountains, northwestern China, ACA, which has an average ∼ 3–4-year resolution and provides a record of inferred lake level fluctuations over the past millennium. The abundance of deep-water adapted Fabaeformiscandona gyirongensis was generally higher in the LIA and lower in the MWP and Current Warm Period (CWP), which confirmed the associations of warm–dry and cold–wet conditions in ACA. Notably, our ostracod records captured several distinct and dramatic secondary lake level fluctuations during the LIA. The abundance of F. gyirongensis peaked in four intervals at 1380–1460, 1540–1580, 1640–1720 and 1800–1940 CE, indicating sharp lake level increases, while the abundance decreased sharply in the three intervals of 1460–1540, 1580–1640 and 1720–1800 CE, indicating significant lake level decreases. There was a strong, inverse relationship between the lake level and the total solar irradiance (TSI) on the multidecadal to centennial scale, and the spectral analysis and wavelet coherence results suggest the presence of Gleissberg cycles. We propose that the century Gleissberg solar cycle directly affected regional humidity changes through temperature and evaporation forcing. Our findings suggest that solar activity probably plays an important role in determining future hydroclimatic changes in ACA.

Participatory Stakeholder Assessment for Drivers of Mangrove Loss to Prioritize Evidence-Based Conservation and Restoration in Bhitarkanika and Mahanadi Delta, India

In recent times, environmental stewardship of mangroves has provided the impetus to protect and restore these ecosystems for their inherent ability to protect coastal regions from climate change, sequester carbon dioxide as rich blue carbon, and support human well-being through a multitude of ecosystem services. Participatory stakeholder assessment, as a part of the present study, integrated local stakeholder perspectives in assessing drivers of mangrove loss in Bhitarkanika and Mahanadi delta, Odisha, providing empirical evidence through a mixed-method approach. The use of a Likert scale provided the methodology to develop a single composite variable as the best measure of central tendency. In total, 27.5% of the respondents were locals and were living close to the study area for generations, whereas the other 72.5% represented researchers, academics, and forest department officials. Stakeholder responses at the ground level indicated that Bhitarkanika and Mahanadi delta were facing increased frequency of extreme climatic events followed, by aquaculture and other land-use changes, which can be considered potential drivers causing mangrove loss. Co-development of future scenarios by integrating concerns of all the stakeholders emerged as a potential solution to effectively address the trade-offs arising from local anthropogenic interferences, as well as large-scale developmental activities. This study highlights the need for convergence of multi-disciplinary knowledge from diverse stakeholder groups, including traditional and indigenous knowledge, for the purpose of developing accurate plausible alternative scenarios. Interactive governance and incentivization approaches, along with alternative livelihood opportunities, are proposed as the means to improve conservation and restoration in the region based on the present study. Understanding of the coupled socio-ecological system and its relevance is found to be critical to improve bi-directional linkages of ecosystem health and human well-being.

The impact of temperature on labor productivity——evidence from temperature-sensitive enterprises

Climate change increases the frequency of extreme climate events and impacts the economy and the society in a negative way. As typical climate events, temperature anomalies affect individual health and working conditions, particularly for industries that depend heavily on temperatures. Using a research setting of Chinese temperature-sensitive enterprises, we analyze the impact of temperature on labor productivity. The findings indicate an inverse U-shaped relationship between temperature and labor productivity, with labor productivity peaking at 24.90°C on average. Further analysis shows that labor productivity peaks in the eastern regions at a higher level (26.25°C) than in the central and western regions (20°C). Moreover, we note that technological innovation is crucial for enterprises to manage climate risks and maintain effective labor productivity. This study provides empirical evidence on the relationship between environmental risk and corporate operations, shedding light on the significance of corporate sustainable development against accelerating global climate change.

The ecological consequences of the timing of extreme climate events.

Climate change is increasing the intensity, duration, and frequency of extreme climate events (ECEs). These ECEs can have major ecological consequences, e.g., changing nutrient flows, causing extirpation, and altering organismal development. Many ECEs are discrete events that occur at distinctive times during the biological processes they impact. Because of this, ECEs are likely to have differing ecological impacts depending on when they happen, yet we lack on studies that explore how the ecological consequences of ECEs vary with when they occur. Drawing upon evidence from physiological, population, and community ecology, and previous work on ecological disturbances, we suggest that the consequences of ECEs will be sensitive to when they occur. We illustrate the importance of timing by showing how the effects of an ECE could vary depending on when it occurs through the course of (1) organismal ontogeny, (2) population dynamics, and (3) community assembly. An enhanced focus on the timing of extreme weather in climate change research will reveal how and when ECEs are altering ecosystems, possible mechanisms behind these impacts, and what ecosystems or species are most vulnerable to ECEs, helping us to make more informed predictions about the ecological consequences of climate change.

Evaluation of reanalysis air temperature and precipitation in high‐latitude Asia using ground‐based observations

AbstractHigh‐latitude Asia (above 60°N) is highly sensitive to global climate change. Warming has led to frequent extreme climate events and has produced important impacts on both the ecological environment and social economy. However, station observations are scarce and there is limited climate change research in the region. Reanalysis data is a potential alternative to scarce observations, but its suitability in high‐latitude Asia has not been well evaluated. In this study, we systematically evaluate the abilities of five reanalysis datasets (MERRA‐2, CFSR, ERA‐Interim, JRA‐55, and ERA5) and one gridded observation dataset (CPC) to characterize mean/extreme temperature and precipitation in high‐latitude Asia through comparison with GHCN‐D station observations. All six datasets reasonably reproduce spatial and temporal variations in mean/extreme temperature and precipitation over the region and match well with the observed climatology. Of these datasets, CPC shows the best performance for mean/extreme temperature and precipitation in high‐latitude Asia, because it is produced through interpolation of station observations. Among the five reanalysis datasets, ERA5 overall shows the best agreement with observed spatiotemporal changes in mean/extreme temperature and precipitation, although it is not superior for all variables. Temperature is generally characterized better than precipitation in these datasets. These results will be helpful for the selection and improvement of reanalyses and thus further climate research in high‐latitude Asia.

Preliminary investigations of ground failures triggered during the mid-November 2021 atmospheric river event along the southwestern British Columbia highway corridors

An unusually intense atmospheric river affected the southern coastal region of British Columbia in mid-November 2021. Flooding and several ground failures such as landslides and riverbank erosion caused significant damage and interrupted the main transportation corridors, including major highways and railroads, severing land connectivity between Metro Vancouver and the rest of Canada. In this short note, we summarize and describe slope and riverbank ground failures in the Lower Mainland and connecting corridors to the interior such as the Fraser Canyon and the Coquihalla Valley, with focus on those that produced damage on highways. Field observations are discussed in the context of potential future similar disasters in the region due to more frequent extreme climatic events associated with climate change.

An overview of disaster risk reduction and anticipatory action in Bangladesh

Climate change has and will continue to increase the intensity and frequency of extreme climate events. Bangladesh is one of the most vulnerable countries to climate change owing to its low elevation, dominance of floodplains, its high population density and its low economic, infrastructural and technological capacity. Despite the vulnerability, Bangladesh has managed to reduce the adversity of the extreme events over the years. This study assesses the effectiveness of the country's governance structure, implications of national policies, legal framework, involvement of local government, and non-government organizations in developing an efficient disaster risk reduction and anticipatory action system in Bangladesh. Through an extensive and systematic literature review the study reveals that the country has become a role model through its disaster management journey by successfully developing an efficient disaster management system from a reactive approach focused on relief rehabilitation to a proactive approach that includes hazard identification, improvement of community preparedness, reducing vulnerabilities, integrated response and recovery efforts. Also, the recent data shows that the loss of human life due to climatic extreme events is significantly reduced due to improved early warning and forecasting systems, effective use of local governance structure, active involvement of community-based organizations, risk informed and evidence-based policy formulation and effective implementation of the policies and strategies. Despite the success, the country is yet to secure livelihood and properties of vulnerable communities from disaster-induced loss and damage. Besides, there are adaptation failures which also need to be addressed through the lessons from the past. The article also discusses the disaster risk reduction and anticipatory action system requiring further strengthening, focusing mainly on building a climate risk resilient system by incorporating locally-led approach.