№ lp_2_1_16378
File format: docx
Character count: 13666
File size: 156 KB
This document outlines a series of activities and instructions for a weather forecasting lab in which students collect and analyze weather data to create daily forecasts and evaluate their accuracy.
Year:
Not specified
Region / City:
Not specified
Topic:
Weather forecasting, meteorology
Document Type:
Lab report
Organization / Institution:
University of Illinois
Author:
Not specified
Target Audience:
Students studying meteorology
Period of validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Price: 8 / 10 USD
The file will be delivered to the email address provided at checkout within 12 hours.
The file will be delivered to the email address provided at checkout within 12 hours.
Don’t have cryptocurrency yet?
You can still complete your purchase in a few minutes:- Buy Crypto in a trusted app (Coinbase, Kraken, Cash App or any similar service).
- In the app, tap Send.
- Select network, paste our wallet address.
- Send the exact amount shown above.
The final amount may vary slightly depending on the payment method.
The file will be sent to the email address provided at checkout within 24 hours.
The product description is provided for reference. Actual content and formatting may differ slightly.
Year:
2025
Region / City:
California
Theme:
Energy, Forecasting, Grid Operations, Renewable Energy
Document Type:
Grant Funding Opportunity
Organization:
California Energy Commission
Author:
California Energy Commission
Target Audience:
Researchers, Utilities, Energy Market Participants, Policy Makers
Period of Validity:
October 2025 onwards
Approval Date:
October 2025
Date of Modifications:
N/A
Year:
2023
Region / City:
Not specified
Topic:
Demand forecasting, inventory management, machine learning, supply chain optimization
Document Type:
Review paper
Author:
Not specified
Target Audience:
Researchers, supply chain practitioners
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2024-2025
Region / City:
Florida
Subject:
Transportation forecasting, travel demand modeling
Document Type:
Work Plan
Organization / Institution:
Florida Department of Transportation (FDOT)
Author:
Florida Transportation Forecasting Forum (TFF)
Target Audience:
Transportation planners, engineers, decision-makers, modeling professionals
Period of Validity:
2024-2025
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2024
Region / City:
Nigeria
Topic:
Hydrology, Aquifers, Marine Science
Document Type:
Report
Author:
Not specified
Target Audience:
Researchers, Hydrologists, Marine Scientists
Period of Validity:
June 2024
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2022
Region / City:
United States
Topic:
Climate-Informed Forecasting, Epidemiology, West Nile Virus
Document Type:
Scientific Research
Institution:
R Core Team, Goodrich et al.
Author:
Not specified
Target Audience:
Researchers, epidemiologists, climate scientists
Period of Validity:
2022
Date of Approval:
Not specified
Date of Changes:
Not specified
Year:
N/A
Region / City:
N/A
Theme:
Forecasting Techniques
Document Type:
Exam Questions
Organization / Institution:
N/A
Author:
Scott Stevens
Target Audience:
Students
Period of Action:
N/A
Approval Date:
N/A
Date of Changes:
N/A
Authors:
Vineeta Prakaulya; Prof. Roopesh Sharma; Upendra Singh; Ravikant Itare
Affiliation:
Patel College of Science and Technology, Indore
Department:
Computer Science and Engineering (CSE)
Document Type:
Review Article
Subject Area:
Data Mining and Climate Forecasting
Keywords:
Data mining, agriculture, soil fertility, crop yield, ANNs, FIS, LVQ, bi clustering
Geographical Focus:
India
Thematic Focus:
Precipitation prediction and agricultural productivity
Methods Discussed:
Artificial Neural Networks (ANNs), Fuzzy Inference System (FIS), Decision Tree (SLIQ), Time Series Analysis, Learning Vector Quantization (LVQ), Support Vector Machine (SVM), Bi-clustering
Data Scope:
Historical precipitation data including 45-year monsoon records and monthly precipitation series (1956–2008)
Intended Audience:
Researchers and practitioners in data mining, meteorology, and agricultural management
Chapter:
12
Subject:
Forecasting
Discipline:
Operations Management
Type of document:
Educational textbook exercises with solutions
Topics covered:
Moving average; Exponential smoothing; Adjusted exponential smoothing; Seasonal forecasting; Linear trend line; Linear regression; Multiple regression; Forecast accuracy measures; Control charts
Statistical measures:
MAD; Cumulative error (E); Average error (Ē); Correlation coefficient; Coefficient of determination
Organizations mentioned:
Tech; Bee Line Café; ITown; State University
Time references:
Eight semesters; Twelve quarters; Ten years; Forecast for 2005; Forecast for year 11
Software referenced:
Excel
Intended audience:
Students of operations management
Year:
2019
Region / City:
Australia
Topic:
Tobacco Excise
Document Type:
Working Paper
Organization:
The Treasury
Author:
Jonathan O’Bannon, John Clark
Target Audience:
Government policy makers, economists
Period of Validity:
Ongoing
Approval Date:
June 2019
Date of Modifications:
N/A
Year:
2023
Region / City:
Glassboro, NJ, USA
Theme:
Environmental Impact, Life Cycle Assessment, Machine Learning
Document Type:
Research Article
Organization / Institution:
Rowan University
Author:
Harriet Dufie Appiah, Matthew Conway, Jahnvi Patel, Marcella McMahon, Robert Hesketh, Kirti M. Yenkie
Target Audience:
Researchers, Environmental Scientists, Engineers
Period of Action:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Keywords:
Life Cycle Assessment, Machine Learning, Environmental Impact, Emissions
Contextual Description:
A research article discussing the application of machine learning models to predict environmental impacts of chemicals at the early design stage based on their molecular properties and life cycle data.
Year:
2023
Region / City:
Global
Topic:
Weather Forecasting, Machine Learning
Document Type:
Research Paper
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, Meteorologists, Machine Learning Practitioners
Period of Validity:
Not specified
Approval Date:
Not specified
Date of Changes:
Not specified
Keywords:
Weather forecasting, Regression Techniques, Prediction, MSE
Context:
The document presents a research study on applying machine learning regression techniques for real-time weather forecasting and prediction.
Year:
2023
Region / City:
Aurangabad District, Maharashtra
Subject:
Potential Evapotranspiration Forecasting
Document Type:
Research Article
Author:
Not specified
Target Audience:
Researchers, Hydrologists, Water Resource Managers
Period of Study:
1970–2023
Date of Approval:
Not specified
Date of Modifications:
Not specified
Keywords:
PET Forecasting, ANN, Thornthwaite Method, Water Resource Management
Year:
1998
Region / City:
Global
Subject:
Demand Forecasting
Document Type:
Educational Text
Institution:
Not specified
Author:
Not specified
Target Audience:
Students, Business Professionals
Period of Validity:
Not specified
Approval Date:
Not specified
Modification Date:
Not specified
Year:
2023
Region / City:
Aurangabad, Marathwada region, Maharashtra
Theme:
Water resource management, Evapotranspiration forecasting, Agricultural planning
Document type:
Research article
Organization / Institution:
Not specified
Author:
Not specified
Target Audience:
Researchers, water resource managers, agricultural planners
Period of validity:
1970-2023
Approval date:
Not specified
Date of modifications:
Not specified
Methodology:
Thornthwaite method, Artificial Neural Network (ANN)
Keywords:
Potential Evapotranspiration, Artificial Neural Network, Thornthwaite method, Time series analysis, Hydrological forecasting
Note:
Contextual description
Year:
2020
Region / City:
Kochi, Kerala
Topic:
Price Forecasting, Black Pepper Industry
Document Type:
Research Article
Organization / Institution:
Kamaraj College of Engineering and Technology, India
Author:
K. Kannan
Target Audience:
Researchers, Spice Industry Stakeholders
Period of Validity:
January to December 2020
Approval Date:
Not specified
Date of Changes:
Not specified
Year:
2024
Region / city:
UK
Topic:
Climate change, extreme weather, workplace safety
Document type:
Policy document
Organization / institution:
UNISON, TUC
Author:
UNISON
Target audience:
Trade union representatives, employers, workers
Period of validity:
2024–2025
Approval date:
Not specified
Date of changes:
Not specified
Year:
2023
Region / city:
United States
Topic:
Extreme Cold Weather Preparedness
Document type:
Audit worksheet
Organization:
North American Electric Reliability Corporation (NERC)
Author:
Compliance Enforcement Authority (CEA)
Target audience:
Registered entities subject to NERC standards
Period of validity:
Ongoing
Approval date:
N/A
Date of modifications:
N/A
Note:
Year
Topic:
Roofing Systems, Insulated Panels, Roof Decking
Document Type:
Technical Specification
Organization / Institution:
All Weather Insulated Panels
Target Audience:
Contractors, Roofing Installers, Architects
Year:
2011
Region / City:
NCEP (National Centers for Environmental Prediction)
Topic:
Global Forecast System (GFS) experiment setup and execution
Document Type:
Technical Guide
Organization / Institution:
NOAA / NCEP
Author:
Not specified
Target Audience:
NCEP internal users, researchers in climate and weather modeling
Validity Period:
Not specified
Approval Date:
June 22, 2011
Date of Changes:
Not specified
Contextual Description:
Technical guide detailing the setup and execution of global model parallel experiments using the Global Forecast System (GFS) for internal NOAA/NCEP users.
Year:
2026
Region / City:
Newark, NJ
Theme:
Winter weather preparedness, power outage response
Document Type:
Press release
Organization / Institution:
Public Service Enterprise Group
Author:
Media Relations
Target Audience:
PSE&G customers
Period of Validity:
January 2026
Approval Date:
January 23, 2026
Date of Changes:
N/A