scholarly journals Major Growth in Some Business-Related Uses of Climate Information

2010 ◽  
Vol 49 (3) ◽  
pp. 325-331 ◽  
Author(s):  
David Changnon ◽  
Stanley A. Changnon
Keyword(s):  
New Technologies ◽  
Insurance Industry ◽  
Climate Information ◽  
Climate Data ◽  
Risk Models ◽  
Climate Conditions ◽  
Physical Conditions ◽  
Weather Risk ◽  
Insured Loss ◽  
Potential Risks

Abstract Uses of climate information have grown considerably in the past 15 years as a wide variety of weather-sensitive businesses sought to deal effectively with their financial losses and manage risks associated with various weather and climate conditions. Availability of both long-term quality climate data and new technologies has facilitated development of climate-related products by private-sector atmospheric scientists and decision makers. Weather derivatives, now widely used in the energy sector, allow companies to select a financially critical seasonal weather threshold, and, for a price paid to a provider, to obtain financial reparation if this threshold is exceeded. Another new product primarily used by the insurance industry is weather-risk models, which define the potential risks of severe-weather losses across a region where few historical insured loss data exist. Firms develop weather-risk models based on historical storm information combined with a target region’s societal, economic, and physical conditions. Examples of the derivatives and weather-risk models and their uses are presented. Atmospheric scientists who want to participate in the development and use of these new risk-management products will need to broaden their educational experience and develop knowledge and skills in fields such as finance, geography, economics, statistics, and information technology.

scholarly journals IDENTIFIKASI KEKUATAN DAN KELEMAHAN KOMPONEN SISTEM INFORMASI IKLIM(STRENGTH AND WEAKNESS IDENTIFICATION OF CLIMATE INFORMATION COMPONENT)

Agromet ◽  
2008 ◽  
Vol 22 (2) ◽  
pp. 132
Author(s):  
Urip Haryoko
Keyword(s):  
Evaluation System ◽  
Negative Impact ◽  
Water Shortage ◽  
Climate Risk ◽  
Climate Extreme ◽  
Climate Information ◽  
Paper Strength ◽  
Climate Data ◽  
Health Crisis ◽  
Climate Conditions

<p>Based on the survey of climate information application in many sectors showed that climate informations are inaccurate, lately received, abstrused and not meet to the user activities. There is a big gaps between climate information producer and user, it needs a bridging to handle a problem in interpreting information. These conditions caused to not optimally climate risk anticipation, so that there were still a lot of failures in some sectors, i.e. crops failure, urban floods, food and water shortage, health crisis, forest fire, etc. There are many activities have been done to increase skill to intepret and react to climate information. Providing climate information is one of the methods to minimize the climate risk. By understanding the climate information, climate risk could be managed optimally and it can minimize negative impact of climate extreme and get benefit from good climate conditions. Boer, 2009, said that there are five primary components as a key to climate information application in manage a risk, 1) climate data observation and data analysis, 2) climate forecast/prediction system, 3) climate information production and evaluation system, 4) communication and dissemination system, and 5) climate information system. Valuation of strength and weakness of five components above relatively depends on which angel be used. It needs an objective indicator to evaluate those components. In this paper, strength and weakness of climate information components will be identified. Data was collected from Meteorological, Climatological and Geophysical Agency’s stations and some institutions in Banten Province as climate information users by distributing questionaire. Furthermore, based on the components identification it could be created a strategy how to increase the capacity of climate information applications.</p>

Effective Customer Support System of Life Insurance Companies

2014 ◽  
Vol 4 (2) ◽  
Author(s):  
Rajesh Srivastava ◽  
Dr. Preeti Sharma
Keyword(s):  
Life Insurance ◽  
Economies Of Scale ◽  
New Technologies ◽  
Insurance Industry ◽  
Integrated Approach ◽  
Customer Experience ◽  
Disruptive Innovation ◽  
Insurance Companies ◽  
Insurance Business ◽  
Strategic Imperative

Increased competition, new technologies and the shift in power from the provider to the customer have produced unrelenting pressure on life insurance business. The market forces point to one overwhelming strategic imperative: customer-focused strategy. Customers are willing to build long-term relationships based on trust and mutual respect with firms that provide a differentiated and personalized service offering. Over the past few years, life insurance industry responded to intensified competition and high customer attrition by entering each other’s markets to capture greater “wallet share” and ostensibly lower their economies of scale. The service delivery process is influenced by quality of personnel, information technology, internal processes, human resource practices, and even an institution’s own change orientation. Now a day’s customers are demanding seamless, multi-channel sales and service experiences. Simultaneously, other players are looking for opportunities to invade this space or to redefine it through disruptive innovation. The result is forcing life insurance companies to examine a more balanced, integrated approach to the customer experience and growth. This research, we analyze the need, preference and satisfaction of customers in life insurance business and provide perspective on how to improve the customer experience.

Convective Storms and the Insurance Industry: Challenges and Opportunities

2020 ◽  
Author(s):  
Kirsten D. Orwig
Keyword(s):  
United States ◽  
Tropical Cyclones ◽  
Insurance Industry ◽  
Property Values ◽  
Construction Materials ◽  
The United States ◽  
Building Code ◽  
Convective Storms ◽  
Challenges And Opportunities ◽  
Insured Loss

Convective storms affect countries worldwide, with billions in losses and dozens of fatalities every year. They are now the key insured loss driver in the United States, even after considering the losses sustained by tropical cyclones in 2017. Since 2008, total insured losses from convective storms have exceeded $10 billion per year. Additionally, these losses continue to increase year over year. Key loss drivers include increased population, buildings, vehicles, and property values. However, other loss drivers relate to construction materials and practices, as well as building code adoption and enforcement. The increasing loss trends pose a number of challenges for the insurance industry and broader society. These challenges are discussed, and some recommendations are presented.

scholarly journals Including Urban Heat Island in Bioclimatic Early-Design Phases: A Simplified Methodology and Sample Applications

2021 ◽  
Vol 13 (11) ◽  
pp. 5918
Author(s):  
Giacomo Chiesa ◽  
Yingyue Li
Keyword(s):  
Urban Heat Island ◽  
Urban Climate ◽  
Temperate Climate ◽  
Heat Island ◽  
Climate Data ◽  
Degree Days ◽  
Climate Conditions ◽  
Early Design ◽  
Correct Definition ◽  
Urban Heat

Urban heat island and urban-driven climate variations are recognized issues and may considerably affect the local climatic potential of free-running technologies. Nevertheless, green design and bioclimatic early-design analyses are generally based on typical rural climate data, without including urban effects. This paper aims to define a simple approach to considering urban shapes and expected effects on local bioclimatic potential indicators to support early-design choices. Furthermore, the proposed approach is based on simplifying urban shapes to simplify analyses in early-design phases. The proposed approach was applied to a sample location (Turin, temperate climate) and five other climate conditions representative of Eurasian climates. The results show that the inclusion of the urban climate dimension considerably reduced rural HDD (heating degree-days) from 10% to 30% and increased CDD (cooling degree-days) from 70% to 95%. The results reveal the importance of including the urban climate dimension in early-design phases, such as building programming in which specific design actions are not yet defined, to support the correct definition of early-design bioclimatic analyses.

Regional biogeographical model of vegetation zones in doctoral programme Regional Biography in Olomouc (Case study for Norway spruce)

2020 ◽  
Author(s):  
Ivo Machar ◽  
Marián Halás ◽  
Zdeněk Opršal
Keyword(s):  
Climate Change ◽  
Regional Climate ◽  
Climate Change Impacts ◽  
Climate Data ◽  
Ecological Data ◽  
The Czech Republic ◽  
Climate Conditions ◽  
Vegetation Zones ◽  
Landscape Research

Regional climate changes impacts induce vegetation zones shift to higher altitudes in temperate landscape. This paper deals with applying of regional biogeography model of climate conditions for vegetation zones in Czechia to doctoral programme Regional Geography in Palacky University Olomouc. The model is based on general knowledge of landscape vegetation zonation. Climate data for model come from predicted validated climate database under RCP8.5 scenario since 2100. Ecological data are included in the Biogeography Register database (geobiocoenological data related to landscape for cadastral areas of the Czech Republic). Mathematical principles of modelling are based on set of software solutions with GIS. Students use the model in the frame of the course “Special Approaches to Landscape Research” not only for regional scenarios climate change impacts in landscape scale, but also for assessment of climate conditions for growing capability of agricultural crops or forest trees under climate change on regional level.

TECHNOLOGY ADOPTION AND ADAPTATION TO CLIMATE CHANGE — A CASE-BASED APPROACH

2012 ◽  
Vol 03 (02) ◽  
pp. 1250007 ◽  
Author(s):  
JÜRGEN EICHBERGER ◽  
ANI GUERDJIKOVA
Keyword(s):  
New Technologies ◽  
New Technology ◽  
Relevant Information ◽  
Adaptation To Climate Change ◽  
Climate Conditions ◽  
Technology Learning ◽  
The Public ◽  
Additional Information ◽  
Technological Adaptation ◽  
Long Run

We present a model of technological adaptation in response to a change in climate conditions. The main feature of the model is that new technologies are not just risky, but also ambiguous. Pessimistic agents are thus averse to adopting a new technology. Learning is induced by optimists, who are willing to try out technologies about which there is little evidence available. We show that both optimists and pessimists are crucial for a successful adaptation. While optimists provide the public good of information which gives pessimists an incentive to innovate, pessimists choose the new technology persistently in the long-run which increases the average returns for the society. Hence, the optimal share of optimists in the society is strictly positive. When the share of optimists in the society is too low, innovation is slow and the obtained steady-state is inefficient. We discuss two policies which can potentially alleviate this inefficiency: Subsidies and provision of additional information. We show that if precise and relevant information is available, pessimists would be willing to pay for it and consequently adopt the new technology. Hence, providing information might be a more efficient policy, which is both self-financing and results in better social outcomes.

scholarly journals Climate information for public health: the role of the IRI climate data library in an integrated knowledge system

2012 ◽  
Vol 6 (3) ◽  
pp. 15 ◽  
Author(s):  
John Del Corral ◽  
M. Benno Blumenthal ◽  
Gilma Mantilla ◽  
Pietro Ceccato ◽  
Stephen J. Connor ◽  
...  
Keyword(s):  
Public Health ◽  
Knowledge System ◽  
Climate Information ◽  
Climate Data ◽  
Integrated Knowledge System ◽  
Data Library ◽  
Integrated Knowledge

ENACTS: Transforming Climate Services Across Africa

2021 ◽  
Author(s):  
Tufa Dinku
Keyword(s):  
Effective Means ◽  
National Level ◽  
Columbia University ◽  
Climate Information ◽  
Climate Data ◽  
Climate Services ◽  
Spatial And Temporal Scales ◽  
Institutional Infrastructure ◽  
International Research Institute ◽  
Information Products

&lt;p&gt;Despite recent and mostly global efforts to promote climate services in developing countries, Africa still faces significant limitations in its institutional infrastructure and capacity to develop, access, and use decision-relevant climate data and information products at multiple levels of governance. The Enhancing National Climate Services (ENACTS) initiative, led by Columbia University&amp;#8217;s International Research Institute for Climate and Society, strives to overcome these challenges by targeting the way climate-sensitive decisions are made at the local, regional, and national levels. The ENACTS approach is executed by working directly with the National Meteorological and Hydrological Services (NMHS) to build capacity for improving the availability, access, and use of quality climate data and information products at relevant spatial and temporal scales. The ENACTS approach has shown to be an effective means to transform decision-making surrounding vulnerabilities and risks at both national and local scales in over a dozen countries at the national level as well as at regional level East and West Africa. In the ENACTS approach, challenges to the availability of climate data are alleviated by combining quality-controlled station observations with global proxies to generate spatially and temporally complete climate datasets. Access to climate information is enhanced by developing an online mapping service that provides a user-friendly interface for analyzing and visualizing climate information products. Use of the generated climate data and the derived information products are promoted through raising awareness in relevant communities, training users, and co-production processes.&lt;/p&gt;

Industry 4.0 and Its Effects on the Insurance Sector

2020 ◽  
pp. 251-266
Author(s):  
İsmail Yıldırım
Keyword(s):  
Industry 4.0 ◽  
Industrial Revolution ◽  
New Technologies ◽  
Production Systems ◽  
Insurance Industry ◽  
Insurance Companies ◽  
Daily Lives ◽  
Insurance Sector ◽  
Organization And Management ◽  
Production Order

Industry 4.0 defines the fourth industrial revolution, a new level in the organization and management of products and production systems. This cycle consists of services that include the entire chain, including individualized customer requests, product development, production order, distribution, and recycling to the end user. One of the most important preconditions for the realization of the Industry 4.0 revolution is that companies have completed their digital transformations. New technologies and digitalization have brought a new understanding of insurance. Insurance companies are focused on four areas such as big data, artificial intelligence, internet of objects, and blockchain in the changing world. With the changing habits of consumers in their daily lives, new generation insurance needs emerged. The introduction of a new era shaped by the insurance industry with new products, services, competitors, and customer expectations will have various effects. This chapter describes how Industry 4.0 transforms the insurance sector.

scholarly journals Climate change impact – residential unit

2019 ◽  
Vol 279 ◽  
pp. 03007
Author(s):  
Ján Hollý ◽  
Adela Palková
Keyword(s):  
Climate Change ◽  
Global Warming ◽  
Weather Data ◽  
Emission Scenarios ◽  
Climate Data ◽  
Climate Conditions ◽  
Residential Unit ◽  
Data Application ◽  
Change Impact ◽  
Selection Of

The issue of climate change is undeniably demonstrating its presence. Consequently, there is a rising need to be prepared for upcoming threats by any means possible. One of the precautions includes obtaining the information characterizing the expected impact of global warming. This will allow authorities and other stakeholders to act accordingly in time. The article presents the assessment of the extent of impact of energy-related construction solutions in dwelling type unit situated in Central Europe region under the 21st century climate conditions. The findings represent eventual demands of energy for cooling and heating and its prospective savings. This is conducted by consecutively and automatically changing the parameters in individual simulation runs. As a basis for simulations, regionally scaled weather data of three different climate areas are used. These data are based on the emission scenarios by IPCC and are reaching to the year 2100. The selection of assessed parameters and climate data application are briefly explained in the article. The results of simulations are evaluated and recommended solutions are stated in regard to the specific energy-related construction changes. The aim is to successfully mitigate and adapt to the climate change phenomenon.

Sign in / Sign up

Export Citation Format

Share Document