eChapters

A review on historic occurrences of tsunamis in the Indian Ocean and their associated characteristics followed by detailed characterization of genetic causes of recent tsunamiarepresented in this chapter. Althoughsubmarineearthquakes occur very frequently, resultant tsunami and its strength relied on many factors including transformation of energy into the ocean water, area of rupturing of ocean floor, duration of rupturing, accompanying submarine slides, kind of material at focus of earthquakes and type of faulting. The direction of tsunami wave propagation plays the decisive role in deciding sites of impacts. Perfect blend of all these parameters is required to make a submarine earthquake to generate devastating tsunami, which is relatively rare in geological history. This is the reason why although there were as many as 77 tsunamis that occurred in the Indian Ocean region during historic past, the recent one of 26th December 2004 is deadly and rare geological occurrence. However, aftermath effects in terms of volcanic eruptions, coastal high wave activities and change in climatic cycles are recorded since then and require constant scientific vigil.

INTRODUCTION

Tsunami is defined as a sea wave of local or distant origin that results from large-scale seafloor displacement associated with major earthquake or submarine slide or submarine volcanic explosion. Many a times it is incorrectly described as tidal wave or seismic sea wave, as both of these terms mislead in regard to its mechanism of generation. In Tamil Sangam literature, tsunami is cited as “Azhipperalai”. In South America, it is termed as “Maremoto”. Other names for tsunami include “Flutwellen”, “Vloedgolven” “raz de mare” “Vagues Sismique” and Kai e’e. Prevalence of specific terms for tsunami in many such regions and languages itself stands testimony to the fact that tsunami is known to ancient human populations and that tsunami occurred frequently the historics past.

Introduction

Training is the crucial and expensive component of HRD, intended to improve the efficiency and effectiveness of performance of the members of organization through planned learning efforts, transfer of such learning at work place and in turn improvement of the organizational performance. Given such objectives, most of the training programmes fail to inculcate the transfer component in trainees (Subedi 2004). Hence, there is an increasing concern over training transfer at work place and the resultant improved organizational performance in terms of productivity, efficiency, effectiveness and turn over etc (Howard 1995, Huselid 1995, Martocchio and Baldwin 1997 and Salas et al.. 2000, Thayer1997).

This chapter provides an introduction to cyclogenesis, nature of cyclone disaster and historic events. The mechanism that is in practice in cyclone mitigation, information dissemination and relief and rescue operations are detailed. As the state of Orissa is being battered more frequently by cyclones than any other state of India, special emphasis on cyclone disaster management system of Orissa is also discussed.

INTRODUCTION

Orissa state with immense natural resources is located between 17⁰27’N and 22⁰34’N latitudes and meridians of 81⁰27’E and 87⁰29’E longitudes. Orissa lies on the eastern coast of India with the waters of the Bay of Bengal swirling along its eastern and southeastern boundaries. It shares its boundaries with West Bengal and Jharkhand on the north, Chattisgarh on the west and Andhra Pradesh on the south. Out of the Indian mainland coastline of 7500 km, it constitutes a coastline of about 480 km. It extends for about 155,707 sq.km accounting about 4.74% of the total area of India. According to the 2001 census, it has 3.57 percent of the total population of India. Administratively, it has 30 districts, 3 Revenue Divisions, 58 Sub- Divisions, 51,061 villages and 127 Urban Centers.

Based on physiography, Orissa can be divided into three broad regions - the coastal plains, the middle mountainous region and the plateaus, and rolling up lands. The coastal plains extend from the River Subarnarekha in the north to the River Rushikulya in the south. The coastal zone covers nine districts namely Ganjam, Puri, Jagatsinghpur, Kendrapara, Jajpur, Khurda, Cuttack, Bhadrak and Balasore. It is narrow in the north, widest in the middle, narrowest in the Chilika coast and broad in the south. The coastal belt of Orissa lacks hills excepting few hillocks and mounds in the northern and southern parts. It has extensive low lands adjacent to the sea, sloping gently towards the shoreline of the Bay of Bengal. The coastline consists of the lakes, lagoons, marshes, bays and islands and natural harbors. The lakes in Orissa are natural and artificial. One of the blazing example of the natural lake is the Chilika lake.There is only one bay in Orissa which is the Hukitola bay. Eventually there are only two islands in Orissa - the Short’s Islands and the Wheeler Islands. Among the natural harbor, there is only one of its type in Orissa i.e. Paradeep which holds its recognition as the deepest natural port in the whole of India. The main drainage system of this area is represented by several rivers at their old stages flowing sluggishly towards the sea, which form topographic features like peneplains, natural levees, deltas, etc. (Fig.1). The major rivers flowing in the coastal belts are the Subarnarekha, the Budhabalanga, the Baitarani, the Brahmani, the Mahanadi and the Rushikulya. This region is the combination of several deltas of varied sizes and shapes formed by these rivers. The coastal belt has an area of 40,166 sq. km with a population of 68,79,379, which is 45 percent of the population of 9 coastal districts of Orissa.

14.1 Introduction
As we reach the culmination of our exploration into meteorological data science, from foundational principles to specialized applications and emerging trends, it is imperative to pause and reflect on the broader context of this rapidly evolving field. The chapter, “Challenges, Ethics, and the Future of Meteorological Data Science,” shifts our focus from the “how” to the “why” and “what next,” addressing the significant hurdles, crucial ethical considerations, and transformative opportunities that lie ahead. The journey through meteorological data science has revealed a landscape of immense progress: unprecedented data volumes, sophisticated modeling capabilities, and increasingly accurate predictions. However, this progress is not without its complexities. We grapple with the inherent chaotic nature of
the atmosphere, the persistent uncertainties in our models, and the sheer computational demands of simulating Earth’s intricate systems. Beyond these scientific and technical challenges, the increasing societal reliance on meteorological data raises profound ethical questions concerning data privacy, equitable access to information, the responsible use of AI, and the potential for bias in algorithms. This chapter will delve into these multifaceted aspects. We will first examine the enduring scientific and technical challenges that continue to push the boundaries of research, from improving sub-seasonal to seasonal predictability to seamlessly integrating diverse data sources. Following this, we will confront the critical ethical considerations that arise when dealing with vast amounts of environmental data and its direct impact on human lives and livelihoods. This includes discussions on data ownership, algorithmic transparency, and the potential for exacerbating existing societal inequalities if not handled with care. Finally, we will cast our gaze forward, envisioning the future of meteorological data science. This forward-looking perspective will explore the potential for truly integrated Earth system models, the transformative impact of artificial intelligence, and the growing imperative for interdisciplinary collaboration to address the grand challenges of climate change and environmental sustainability. Ultimately, this chapter serves as a critical reflection, reminding us that while the technological advancements in meteorological data science are aweinspiring, their true value lies in their responsible and ethical application for the benefit of all. It is a call to continuous innovation, thoughtful leadership, and a commitment to leveraging the power of data for a more resilient and informed future.

This chapter deals with data importing, exporting and data manipulations in R. R can import almost all kinds of data format. The basic data format of .txt and .csv and data from other softwares like MS office .xls and .xlsx, spss ……, stata ……., etc. however, we will discuss in this chapter to read and write the basic formats and the .xlsx data which we use the most. Further, we will also discuss the basic data manipulations. For a detailed reading on data manipulation, readers can refer to the first book of the series namely “Data Handling and Manipulation in R”.
2.1. Primary Spectral Data Processing
The original spectra consisting of relative reflectance values of 2151 points (at 1 nm interval) between 350 and 2500 nm were averaged at every tenth-nanometer wavelength interval from 360 to 2490 nm by integration technique. Thus, the new spectra contained reflectance values at 360, 370, 380, 2490 nm, are inclusive. For example, the new reflectance value for 360 nm represented an integrated value of the original reflectance values from 356 to 365 nm, inclusive. Similarly, the reflectance at 400 nm was an integrated reflectance values from 396 to 405 nm, while the reflectance at 2490 nm was an integrated value of reflectance from 2486 to 2495 nm. This was done to reduce the volume of data for analysis and to match it more closely to the spectral resolution of the instrument (3 to 10 nm). This procedure resulted in a new dataset, with reflectance values specified for 214 wavelengths for all samples, which were further processed for noise removal.
2.2. Importing Data in R
We can rerad many format of tabular data in R such as excel, text, csv, etc. In thid book we will be using the csv format. Before reading the data, arrange data in excel/CSV sheet so that spectral data in column is followed by chemical data/ lab data. This will ensure that if any soil property or properties added in next column there is no need to change code for selection of spectral data in R environment.

India’s diverse climate and geography provide a favorable environment for growing a wide range of fruit-type vegetables, including eggplant, tomato, okra, and chillies. These crops are not only essential for food security but also contribute significantly to the country’s agricultural economy. To optimize the production and productivity of these crops, it is crucial to understand their agroclimatic requirements.
Fruit-type vegetables have specific temperature requirements for growth and development. For instance, eggplant and okra require warm temperatures between 20-30°C (68-86°F) for optimal growth, while tomatoes prefer a slightly cooler temperature range of 15-25°C (59-77°F). Chilli peppers, on the other hand, thrive in temperatures between 20-35°C (68-95°F). Adequate moisture is also essential for the growth and development of fruit-type vegetables. Eggplant, okra, and chilli peppers require consistent moisture, especially during the fruiting stage, while tomatoes require a slightly drier soil condition. The ideal annual rainfall for these crops ranges from 600-1,200 mm, with supplemental irrigation provided during periods of drought.
Weather conditions, such as sunlight, wind, and frost, also play a crucial role in the growth and development of fruit-type vegetables. Most fruit-type vegetables require full sun to produce well, while excessive wind can damage plants and reduce yields. Frost, on the other hand, can be detrimental to these crops, and frost-free periods are essential for optimal growth. India‘s diverse
climate and geography result in regional variations in agroclimatic conditions. For instance, the Indo-Gangetic Plains, which cover parts of Uttar Pradesh, Bihar, and West Bengal, have a subtropical climate with hot summers and cold winters. In contrast, the Deccan Plateau, which covers parts of Maharashtra, Karnataka, and Telangana, has a tropical climate with warm summers and mild winters. Understanding these regional variations is essential for optimizing the production and productivity of fruit-type vegetables. The agroclimatic conditions suitable for growing different fruit type vegetables are given in this chapter.

Introduction

The GIS database is a model of real world. It goes without saying that there is an inherent discrepancy between GIS database and the real world it represents. This is so because all models are fraught with cognitive issues and remain as approximations. To realize the objectives of a GIS, geographical data collected, entered and processed are to be sufficiently error free and reliable.

Errors can be statistical errors like mistakes, wrong inputs or faulty field surveys or system errors like excessive tolerances or high RMS error. The spatial database has further problems in the sense that the real world phenomena are not always intrinsically discrete. For instance where is the bank of a shallow river? Where is the boundary between two soil types? These are but a few questions revealing the fuzzy nature of geographic data. Many soil scientists, geographers have noticed that carefully drawn boundaries or iso-lines on maps in general give misrepresentations of change that are often gradual, vague or fuzzy. Traditional cartography as a medium of spatial data handling had a solution to such problems. But now when digital data are handled, they need to be stored with certain precision. Moreover, the spatial variation of natural phenomena is not just a local noise function or inaccuracy that can be removed by collecting more data or by increasing the precision measurement but is often a fundamental aspect of nature that occurs at all scales. (Goodchild, 1980; Mark and Aronson, 1984). This means residual unmapped variation is a remarkable problem in geographical information processing. It is therefore a prerequisite to fully understand how errors arise or propagated in GIS and what might be the effects of errors on output.

Beans play a vital role in India’s agricultural sector and food security. They are an essential source of protein, fiber, and other essential nutrients, making them a crucial component of the Indian diet. Beans are also a significant source of income for many farmers in India, particularly small and marginal farmers. The country’s bean production also contributes significantly to the national
economy, with India being one of the largest producers of beans in the world. In addition to their nutritional and economic importance, beans also play a crucial role in maintaining soil fertility and promoting sustainable agriculture practices in India. Beans are legumes, which mean they have the ability to fix nitrogen in the soil, reducing the need for synthetic fertilizers and promoting
soil health. India is a significant producer of various types of beans, which are widely used as vegetables in the country. These beans are not only a good source of protein, fiber, and other essential nutrients but also play a crucial role in the country’s agricultural sector.
Overall, beans are a vital crop in India, and their production and consumption play a significant role in the country’s food security, agricultural sector, and national economy.
They are grown in various parts of the country, with major production areas including Punjab, Haryana, and Uttar Pradesh. According to the Indian Ministry of Agriculture and Farmers Welfare, the country produced over 1.4 million metric tons of kidney beans in 2020-21. Kidney beans are an essential ingredient in many popular Indian dishes, such as rajma masala, and are also used in salads, soups, and stews.

impacts other speheres and that too on a distal place! This chapter explains how global warming affects remote places like highlands of Bhutan. Severe hot summers during the year 1994 led to excessive melting of glaciers in the higher Himalayas. The exceptional melting contributed enormous amount of melt water to the lake basins, which caused breach of the morainic dam and consequent enlargement of the outlet of the Luggye Tsho and the Tshopda Tsho, Bhutan. Floods followed the breach on October 7, 1994. These floods destabilized the slopes on either bank of the Pho Chhu near Tshopda Tsho outlet making them prone to landslides. The flash floods also eroded the left lateral moraine of the Raphstreng Tsho, which had disturbed the original angle of repose. The Raphstrcng area is also prone to ice avalanches, rock glaciers, surge of which can damage the rim and also cause spillover of water. Examination of geological, geomorphological, geotechnical, microclimatic and hydrographic information in and around the glacial lakes led to improved understanding of breach characteristics based on which mitigation measures were suggested and implemented in the years 1996-97. Since then the lakes have remained intact. From this case study and satisfactory performanceof mitigationmeasures suggest that similar integrated studies have to be conducted for thorough understanding of hazard prone areas based on which mitigation measures have to be implemented for successful reduction of impacts.

INTRODUCTION

The Lunana area, situated in the northern district of Gasa, is one of the most extensively glaciated terrains of Bhutan (Fig. 1). In response to the general global warming, these glaciers like those of other parts of the Himalaya are in a state of steady retreat, often leaving behind a chain of lakes. Though the glacial lakes endow scenic beauty, they also pose environmental hazards, due to frequent bursting of their morainic dams and consequent flash floods. The last lake-burst occurred on 7^th October 1994, leading to floods in the Pho Chhu River. Following floods, the Geological Survey of India in collaboration with the Royal Government of Bhutan, investigated the Lunana area to identify the causes and effects of the floods and suggest remedial measures. More than a decade had passed since the implementation of mitigation measures and there has been no such breach and flood despite continued Glacial Vetreat during to Global Warming. This chapter describes the characteristics of these glacial lakes, nature and results of the study and mitigation efforts.

Introduction
Plant breeding and genetics are at the forefront of agricultural innovation, playing a crucial role in enhancing crop traits to meet the ever-growing demands for food, fiber, and fuel. This chapter delves into the scientific principles, methods, and modern advancements in plant breeding and genetics, providing a comprehensive understanding of how these disciplines contribute to global food security and environmental sustainability. The chapter begins by exploring the fundamental principles of plant breeding, including heredity, genetic variation, selection, and hybridization. These concepts form the foundation for developing new plant varieties that exhibit desirable traits such as improved yield, disease resistance, and environmental adaptability. The importance of genetic variation is emphasized as a key driver of plant improvement, with discussions on the sources of genetic variation, the role of germplasm resources, and the impact of genetic diversity on plant adaptation. As the chapter progresses, various breeding techniques and strategies are examined, including mass selection, pedigree breeding, backcrossing, and markerassisted breeding. These methods are crucial for developing new plant varieties that can withstand the challenges posed by climate change, pests, and diseases. The chapter also addresses the role of genomics in plant breeding, highlighting the significance of genomic selection, gene editing, and bioinformatics in accelerating the breeding process and enhancing crop traits. The chapter further explores the controversial topic of genetically modified organisms (GMOs), discussing the principles of genetic engineering, the rise of genetically modified crops, and the associated controversies and concerns. The importance of GMOs in addressing global food security and environmental challenges is also discussed, providing a balanced perspective on their potential benefits and risks. The chapter concludes by emphasizing the critical role of plant breeding and genetics in ensuring food security and combating global warming. By developing climate-resilient crop varieties, improving water efficiency, and enhancing disease and pest resistance, plant breeding and genetics can contribute to sustainable agricultural practices that reduce greenhouse gas emissions and conserve natural resources

3.1 Introduction 
The continuous rise in CO2 levels is poised to culminate in a profound global warming impact. Projections suggest that by 2030, CO2 levels could nearly triple, driven by the burgeoning population of motor vehicles. This pressing issue underscores the urgency for the current generation to scrutinize its fuel choices and explore alternative options. Biomass emerges as a pivotal contender, offering a trinity of fuel phases. Escalating petroleum prices and growing apprehensions about the role of fossil fuels in contributing to global warming have spurred a quest for biofuels, recognized for their environmentally friendly attributes. The worldwide energy consumption has increased by an astounding 4 to 5% due to the combination of industrialization and the growing human population. Energy insecurity presents a number of puzzles, including rapidly decreasing fossil fuel reserves due to rapid industrialization, skyrocketing gasoline prices, growing dependence on Middle Eastern oil supplies, and the deleterious effect of fossil fuels on greenhouse gas emissions. (Fig 3.1). Figure 1. Air pollution due to fossil fuel smoke from industries & transportation The UN's June 1992 Earth Summit in Rio de Janeiro set the stage for addressing environmental issues such as acid rain and the greenhouse effect caused by greenhouse gas (GHG) emissions. The goal of the Kyoto Protocol, an agreement between Russia, Japan, and Europe, is to reduce CO2 emissions. The ability of first-generation biofuels to lower CO2 emissions has drawn attention. But there is a lot of criticism about how they use land and how it affects the supply of food. A more complex option is provided by secondgeneration biofuels, which are made of leftover animal fat and lignocellulosic biomass. The third generation focuses on algae, namely single-celled organisms (SCO), as a viable substitute in the fuel industry. Within this discourse, "biofuels" refer to chemicals that are enhanced with energy. When burned, biofuels release fewer toxic emissions than fossil fuels, making them renewable resources. Furthermore, no carbon dioxide (CO2) is emitted into the environment by them; instead, any carbon released during combustion is absorbed by plants as they grow.

Introduction 
To fight climate change and lessen dependency on fossil fuels, the world urgently needs renewable and environmentally friendly energy sources. Hydrogen has become a promising energy carrier due to its versatility and capacity to generate energy from renewable resources without releasing greenhouse gases into the atmosphere. The world's demand for energy has been steadily increasing as a result of urbanization, economic expansion, and population rise. With an estimated 10 billion people on the earth by 2050, energy consumption is only expected to increase. Fossil fuels, which include oil, coal and gas have been widely used to generate energy and are predicted to do so at least until 2050 (see Fig.6.1) [1]. Figure 1. Global primary energy consumption is broken down by energy source [2, 3]. These fuels generate a large amount of greenhouse gases (GHGs) during combustion, especially carbon dioxide (CO2), which is connected to climate change and global warming. In addition, burning fossil fuels releases particulate matter (PM), sulfur oxides (SOx), nitrogen oxides (NOx), and other pollutants that are harmful for human health. In addition, the unequal distribution of fossil fuel supply has led to increased instability globally and worries about energy security. Numerous nations started making investments in energy from renewable sources as concerns about the environment and energy security have grown. Because they emit little to no greenhouse emissions, renewable energy resources like hydroelectricity, wind, and solar power contribute to lowering the energy industry's overall environmental impact (see Fig.6.2) [4].

3.1 Introduction

Ozone (O₃) is present throughout the atmosphere and can have either positive or negative effect depending on where it is found. The stratosphere (15-50 km) has the largest (90%) concentrations of O₃ (Colls, 1997). Stratospheric O₃ is important as it regulates the transmittance of ultraviolet light to the surface of the earth. Hence reductions in stratospheric O₃ in Polar regions, particularly the Antarctic “ozone hole”, are of concern regarding the health effects of exposure to increased levels of ultra violet (UV) radiation. In the troposphere (0-15 km), O₃ is a toxic pollutant of global importance and it is a major constituent of photochemical smog. Interest in pollutant O₃ and in its effects on living organisms has increased in the last decades as a consequence of the rise in its ground-level concentration and of the widening of its diffusion (Ashmore, 2005). Economic growth requires more energy production, which would result in increased production of NOx and volatile organic compounds (VOCs) precursors for O₃ formation (Ghude et al., 2008).

Introduction 
Carbon rich solid residue named as biochar produced by heating biomass in a procedure recognized as pyrolysis. During pyrolysis, biomass, including crop and forestry residues, manure, municipal and industrial wastes, is broken down at temperatures exceeding 400°C, with minute to no oxygen present. This procedure results in the making of syngas, bio oil, and biochar. Given its high carbon content, approximately 60% to 90%, biochar addition in soil has been recommended as an effective, long-term method for capturing atmospheric CO2 within terrestrial ecosystems. In addition to its role in reducing greenhouse gas productions and carbon sequestration, biochar offers various advantages for soil quality enhancement. Incorporating biochar into soils can boost crop yields by improvising the physical, chemical, and biological characteristics of the soil, such as increasing water retention, adjusting soil pH, and enhancing microbial activity (Zoghlami and Paës, 2019). The production of biochar offer several benefits such as carbon sequestration in which produced biochar captures carbon that would otherwise be released into the atmosphere (Rahimi, Anand and Gautam, 2022). This helps mitigate climate change by locking carbon in a steady form for a lengthy period, reducing greenhouse gas emissions. When added to soil, biochar can enhance its physical, chemical, and biological properties. It improves water preservation, nutrient accessibility, and microbial activity, leading to increased soil fertility and crop yields (Saikia et al., 2015)perennial grass species Arundo donax L. was pyrolysed in a fixed-bed reactor and characterization was performed for the liquid and the solid products. The effect of process parameters such as temperature (350-650°C. Biochar production can utilize various types of organic waste materials, including agricultural residues, forestry waste, and certain municipal and industrial wastes. This reduces the burden on landfills and promotes waste recycling. The pyrolysis process used to create biochar can be designed to minimize emissions of harmful gases and particulates, thus contributing to air quality improvement. These byproducts can be used as sources of renewable energy, further reducing the carbon footprint. Biochar can improve soil aeration, reduce soil erosion, and help prevent nutrient leaching, which contributes to overall soil health and ecosystem stability as described in figure 9.1. It can remain in the soil for thousands of years, providing long-term carbon storage benefits. Biochar

Introduction 
Chapter 15 provides a comprehensive analysis of climate change and its profound effects on agriculture and global food systems. This chapter delves into the science of climate change, focusing on its impacts on agricultural practices, climate-smart strategies, and the role of specialized climate change centers and institutes. The chapter begins with an exploration of the impacts of climate change on agriculture, detailing how shifts in temperature, precipitation patterns, and extreme weather events affect crop yields, livestock production, and overall agricultural productivity. It highlights the vulnerabilities of different agricultural systems and regions to climate change. Climate-smart agricultural practices are central to adapting to and mitigating the effects of climate change. This section covers adaptation strategies, such as adjusting planting dates, diversifying crops, and improving water management. It also addresses mitigation strategies, including reducing greenhouse gas emissions through sustainable farming practices and enhancing carbon sequestration in soils. Adaptation and mitigation strategies are discussed in detail, with an emphasis on how these approaches can be integrated to address climate change comprehensively. The interplay between adaptation (adjusting to changing conditions) and mitigation (reducing the root causes of climate change) is examined, emphasizing the need for balanced and coordinated efforts. The chapter underscores the importance of climate change centers and institutes in addressing food security. These institutions play a crucial role in research, policy development, and the implementation of climate-smart practices. They provide valuable data, tools, and guidance for managing the impacts of climate change on agriculture. The impact of climate change centers and institutes on global warming is analyzed, focusing on how these organizations contribute to reducing greenhouse gas emissions and enhancing adaptive capacity. Their role in advancing climate science and supporting climate action is highlighted. Modern concepts in climate change centers and institutes are reviewed, showcasing innovative approaches and technologies that are shaping the field of climate science and its application to agriculture. The chapter concludes with strategies for combating food security and global warming challenges. It emphasizes the need for continued research, international collaboration, and the adoption of effective climate-smart practices to ensure sustainable agricultural systems and enhance global food security.

14.1 Introduction

Atmospheric concentration of CO₂ has increased from 280 ppm in pre-industrial era to 385 ppm in 2008 (+ 37.5%) and is presently increasing at the rate of 2 ppm yr^-1 or 3.5 Pg yr^-1 (1 Pg or petagram = 1 Gt = 1 gigaton = 1 billion metric ton). The increase in CO₂ emission by human activity is attributed to fossil fuel combustion, deforestation and biomass burning, soil cultivation and drainage of wetlands or peat soils. Increase in fossil fuel combustion is caused by high global energy demand of 475 Quads (1 quad = 1015 BTU) and increasing at the rate of 2.5 % yr^-1, especially in emerging economies including China, India, Mexico, Brazil, etc. The world population of 6.7 billion in 2008 is increasing at the rate of 1.3 % yr^-1 and is projected to be 9.5 billion by 2050 before stabilizing at 10 billion towards the end of the 21^st century. There exists a strong positive correlation between population growth on the one hand and CO₂ emission or the energy demand on the other. The People’s Republic of China accounted for 13% of the world’s C emissions in 2002 and that share is projected to rise to 18% by 2025 (Lal, 2004a).

1.1 Policy Background

Human activities have resulted in the alteration of the composition of our atmosphere triggering change in the Earth’s climate. The world’s population has grown at an alarming rate with a corresponding increase in demand for natural resources, energy, food, and goods. As a consequence of increase in consumption, vast quantities of gases and effluents are discharged that change the composition of the atmosphere and its capacity to regulate its temperature. The rise in the global temperature is caused by the accumulation of the so-called “greenhouse gases”, namely, carbon dioxide (CO₂), methane, nitrous oxide, and chlorofluorocarbons. Energy received from the sun is absorbed as short wavelength radiation and is eventually returned to space as long wavelength infrared radiation. Greenhouse gases absorb the infrared radiation, trapping it in the atmosphere in the form of heat energy.

Introduction

Global population growth has led to an increase in demand for energy, food, and other essentials, resulting in an increase in agricultural land. Poor farming techniques, urbanization, and a lack of soil management measures have negative consequences for agricultural soils, such as reduced soil fertility, migration of soil organisms, and loss of soil microbiota and ultimately loss of soil health(Mehmood et al., 2020; Omotayo and Babalola, 2021; Syed et al., 2022). In addition, fertilizers used in agriculture have an impact on soil quality and health. Soil fertility is defined as the ability of a soil to meet the physico-chemical and biological requirements of a plant for growth, reproduction and quality, taking into account plant and soil type, land use and climatic conditions (Abbott and Murphy, 2007; Tyagi et al., 2019).

From the farmer deciding when to sow seeds to the traveler planning their journey, from the pilot navigating the skies to the energy provider managing demand, the state of the atmosphere profoundly influences our daily lives and myriad human activities. The ability to anticipate future atmospheric conditions, a practice we know as weather forecasting, is therefore not merely an academic pursuit but a practical necessity (Fig. 11.1). This chapter will look into the fascinating world of weather forecasting, exploring its historical roots, the fundamental scientific principles that underpin it, and the sophisticated tools and techniques employed by modern meteorologists. We will journey through the process of observing the current state of the atmosphere, the computational power used to model its complex dynamics, and the various ways forecasts are disseminated and interpreted. Understanding the science behind weather forecasting empowers us to appreciate its capabilities and limitations. It allows us to make more informed decisions in the face of an ever-changing atmospheric environment. Join us as we unravel the methods used to predict the weather, from simple observations to cutting-edge numerical models, and gain insight into the continuous advancements shaping the future of this vital scientific discipline.

Introduction

We have now started to feel the impacts of climate change, as a threat to our health, directly as heat stress on our bodies, and indirectly as it damages crops, and causes storms, floods and wildfires (IPCC, 2022). People working in fields or factories, or in the open, suffer the most. Buildings are our first defense as we learn to adapt to these changes. Resilient buildings that provide passive cooling can protect us better from heat waves, buildings designed to withstand storms and f loods can provide better shelter, and net-zero buildings that produce and store their own energy can enable critical operations when the electric grid is down.