Learn about why a below normal hurricane season is expected in 2023 and the factors influencing this forecast. Find out about hurricane return periods in Connecticut and the names for the upcoming season.

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Understand the key differences between budgeting and forecasting, why they are essential, and where these processes are carried out. Learn about historical forecasting methods, the introduction of the Budgeting and Forecasting Tool (BFT) for increased efficiency, and the importance of BFT reporting

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Demand estimation and forecasting are crucial processes for businesses to predict future demand for their products or services. Demand estimation involves analyzing the impact of various variables on demand levels and pricing strategies, while demand forecasting helps in planning production, new pro

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Regression analysis involves estimating parameters and fitting lines to data, with errors represented by residuals. Errors in forecasting can be caused by structural breaks or one-off events like droughts, leading to growth shifts. Add factors represent the difference between a statistical forecast

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This study analyses cost forecasting in major capital projects, identifying causes of cost underestimation and proposing measures to improve accuracy. Key findings highlight optimism bias, strategic misrepresentation, and the importance of data quality for accurate forecasts. Recommendations include

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Demand forecasting in cargo transport plays a crucial role in ensuring efficient and reliable logistics operations. Revenue Technology Services (RTS), a leader in cargo solutions, offers innovative forecasting tools that help businesses navigate the complexities of supply chain management. With the

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Explore hurricane track data from 1981 to 2021 sourced from the International Best Track Archive for Climate Stewardship. The visualization includes maps showcasing hurricane frequency, maximum severity by Saffir-Simpson scale categories, and trend indices. Follow the evolution of hurricane patterns

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The Department of Emergency Services and Public Protection Division of Emergency Management and Homeland Security provides insights on the 2023 hurricane season, predicting a below-normal year. With neutral ENSO conditions and warm Atlantic sea surface temperatures, coastal residents are advised to

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Engage in a tabletop exercise focused on a hurricane scenario to enhance emergency response preparedness. The exercise includes introductions, agenda review, scenario discussions, action planning, and benefits such as improved readiness and skills practice in a safe environment. Objectives aim to re

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Explore the concept of economic forecasting using multi-equation simulation models, focusing on producing data that follows estimated equations rather than estimating model parameters. Learn about endogenous and exogenous variables, the importance of assumptions in forecasting, and the use of simula

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Forecasting is a crucial process in operations management, involving the estimation of future events based on past and present information. This chapter covers the significance of forecasts, characteristics of forecasting, role in decision-making, various forecasting methods (qualitative and quantit

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Business forecasting involves predicting future trends based on past and present data to make informed decisions and allocate resources strategically. By utilizing quantitative and qualitative forecasting methods, organizations can adapt their business strategies, maximize resources, and stay compet

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Efficient cash flow forecasting is vital for government financial management to ensure budget targets are achieved, expenditures are smoothly financed, and potential problems are detected early. By forecasting daily cash flows, governments can manage their cash efficiently, optimize cash balances, r

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The chapter delves into qualitative and quantitative approaches for tourism demand forecasting, including the Delphi method and executive opinion juries. It explores advanced forecasting methods and the application of big data analytics in the tourism industry. The focus is on generating expert opin

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Demand forecasting is a crucial aspect of business decision-making, allowing organizations to estimate future demand for their products or services. Dr. Pooja Singh, an Assistant Professor at Chhatrapati Shahu Ji Maharaj University in Kanpur, explains the art and methods of demand forecasting, its u

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Learn how to proactively protect your property from hurricanes with a detailed Hurricane Emergency Response Plan (HERP). This guide covers the essential phases of emergency management, including mitigation/prevention, planning, response, and recovery. Develop key roles and responsibilities, understa

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This Exercise Conduct Briefing provides a baseline document for higher education institutions to evaluate their emergency plans. Tailor the content as needed by filling in bracketed sections. It is to be used with the Hurricane Situation Manual and Facilitator Guide. The briefing covers Welcome and

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Explore the world of seasonal forecasting through this presentation, covering topics such as the definition of seasonal forecast, sources of predictability, real-time forecasting over the Arctic, and the importance of ensembles in forecasting accuracy. Discover how seasonal outlooks play a crucial r

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Explore the differences between short and long-term financial forecasting in this informative presentation. Understand the importance of accurate forecasting for guiding policy decisions, strategic planning, and maintaining fiscal discipline. Learn about forecasting methodologies, managing expenditu

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Hurricane Nicole, a Category 1 Atlantic hurricane, struck Florida in early November 2022, affecting the citrus industry notably oranges. The USDA NASS Disaster Monitoring Team documented the disaster with data showing the consequences on citrus acreage. The event caused significant damage, posing ch

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EViews provides a powerful forecasting tool for obtaining forecasts from estimated models. This tutorial covers basic procedures for forecasting, including static vs. dynamic forecasts, forecast evaluation, errors and variances, forecasting with exogenous variables, and forecasting with auto-series.

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Dr. Mohammed Alahmed provides a comprehensive guide to the forecasting process, covering problem definition, gathering information, model selection, evaluation, and more. The content highlights key steps such as specifying objectives, identifying time dimensions, and evaluating forecasting models fo

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Occupational Forecasting and Industry Projections in Louisiana are crucial for workforce planning and economic development. The process involves annual projections by industry and occupation, updated with new demand and wage data. The Occupational Forecasting Conference, overseen by key stakeholders

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Stakeholder feedback from the ENERGY CENTER State Utility Forecasting Group (SUFG) workshop highlights considerations for improving load forecasting techniques, including the use of binary variables, end-use models, state-level data access, and economic model adjustments. Insights on electricity pri

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The Florida Public Hurricane Loss Model, developed by a team of experts at Florida International University, provides hurricane modeling services to insurance industry clients. Since its first activation in 2006, the model has seen several updated versions accepted by the Florida Commission on Hurri

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Yuqing Wang from the Department of Meteorology at the University of Hawaii worked on evaluating and enhancing cloud and precipitation physics in the operational Hurricane Weather Research and Forecast (HWRF) model. The project aimed to improve hurricane intensity and structure predictions, focusing

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The NOAA hurricane forecasting models include HWRF, POM, HYCOM, HMON, covering regions like the Pacific, Indian Ocean, North Atlantic, and Gulf of Mexico. These models utilize a combination of climatology data, feature models, and real-time RTOFS inputs for initialization and forecasting. Various co

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This study explores the regional economic impacts of hurricane disasters, examining factors such as property losses, vulnerable housing, unemployment rates, and other hazards. Empirical models are used to estimate future property damage, linking these to regional economic trends. The analysis also i

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Delve into the world of fashion forecasting and megatrends, understanding the significance of long-term forecasting in decision-making for the textile and apparel industry. Discover the methodology, evolution, and key concepts of trendspotting, style eruptions, and the process of long-term forecasti

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This content provides an overview of various operational ocean modeling and forecasting systems, including data assimilation processes, glider data, surface and subsurface data sources, forecasting models for hurricanes, and NOAA's hurricane forecasting models. It covers a range of technologies and

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Investigating the relationship between sea surface temperatures and hurricane behavior, focusing on the potential increase in out-of-season hurricanes with rising average SST. Data analysis from 1970-2020 reveals patterns in hurricane formation dates and categories, supporting the hypothesis of more

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DWP adapted its forecasting for Covid-19 challenges by implementing a hybrid dynamic microsimulation approach at the IMA Conference in Dec '20. The organization's strong track record in microsimulation includes developments in AnyLogic translation, working age modeling, and forecasting. The plan inv

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The Living with a Star (LWS) program, led by a dedicated steering committee, aims to provide yearly reports, set long-term visions, and address key science topics in solar and space physics. The community priorities include enabling discovery and addressing societal needs, emphasizing the importance

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Key observations and advancements in operational air quality forecasting and data assimilation were highlighted in sessions featuring prominent experts from various organizations like ECMWF/CAMS, GAFIS, NOAA, and ECCC. Topics discussed ranged from progress and challenges in air quality forecasting i

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This study explores the influence of sulfate aerosols on the late 20th-century North Atlantic Hurricane drought, focusing on the interaction of European sulfate aerosols and African dust. It investigates the radiative forcing effects and variability in hurricane activity, proposing hypotheses relate

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This project led by Shoji Kimura aims to promote food security through the development of a forecasting model within the ASEAN Food Security Information System (AFSIS). The plan involves creating supply and demand forecasting information, training on forecasting methods, developing the F Model, and

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The AXBT Demonstration Project aims to improve hurricane forecast accuracy by assimilating ocean observations into numerical models in real-time. The project involves collecting, processing, and transmitting AXBT data to enhance ocean model initializations and hurricane track forecasts. Deployment a

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Hurricane Oscar, a Category 3 hurricane, has impacted Green, Kane, Liberty, and Stramford Counties with powerful winds and significant storm surge. This presentation provides a detailed overview of the exercise, focusing on roles and responsibilities, safety measures, and logistical concerns for eme

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Hurricane Irma has been declared as a Category 5 hurricane. The latest updates include information on wind speed probabilities, precipitation amounts, and evacuation routes. Stay informed and stay safe during this severe weather event.

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This work explores the characteristics of hurricanes, the Saffir-Simpson Scale, Accumulated Cyclone Energy, and examples from the 2011 hurricane season. It delves into hurricane formation, impact on land, and the importance of seasonal outlooks in predicting and preparing for hurricanes. The collabo

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