AI Foundation Models for Weather and Climate: Applications, Design, and Implementation

Machine learning and deep learning methods have been widely explored in understanding the chaotic behavior of the atmosphere and furthering weather forecasting. There has been increasing interest from technology companies, government institutions, and meteorological agencies in building digital twins of the Earth. Recent approaches using transformers, physics-informed machine learning, and graph neural networks have demonstrated state-of-the-art performance on relatively narrow spatiotemporal scales and specific tasks. With the recent success of generative artificial intelligence (AI) using pre-trained transformers for language modeling and vision with prompt engineering and fine-tuning, we are now moving towards generalizable AI. In particular, we are witnessing the rise of AI foundation models that can perform competitively on multiple domain-specific downstream tasks. Despite this progress, we are still in the nascent stages of a generalizable AI model for global Earth system models, regional climate models, and mesoscale weather models. Here, we review current state-of-the-art AI approaches, primarily from transformer and operator learning literature in the context of meteorology. We provide our perspective on criteria for success towards a family of foundation models for nowcasting and forecasting weather and climate predictions. We also discuss how such models can perform competitively on downstream tasks such as downscaling (super-resolution), identifying conditions conducive to the occurrence of wildfires, and predicting consequential meteorological phenomena across various spatiotemporal scales such as hurricanes and atmospheric rivers. In particular, we examine current AI methodologies and contend they have matured enough to design and implement a weather foundation model.Comment: 44 pages, 1 figure, updated Fig.

South Africa's renewable energy policy roadmaps

South Africa’s renewable energy policy to date has largely been driven by a 10,000 GWh target by 2013 and renewable energy project subsidies offered through the REFSO. In 2009 a REFIT was published, which has resulted in a great interest by IPPs to develop renewable energy projects in South Africa. Nonetheless, under existing renewable energy policy few renewable energy projects for electricity generation have been deployed. SWHs have seen some market growth in 2008 and 2009 largely facilitated by a SWH subsidy and increased energy awareness due to nation-wide electricity blackouts in 2008

Advancing Robot Autonomy for Long-Horizon Tasks

Autonomous robots have real-world applications in diverse fields, such as mobile manipulation and environmental exploration, and many such tasks benefit from a hands-off approach in terms of human user involvement over a long task horizon. However, the level of autonomy achievable by a deployment is limited in part by the problem definition or task specification required by the system. Task specifications often require technical, low-level information that is unintuitive to describe and may result in generic solutions, burdening the user technically both before and after task completion. In this thesis, we aim to advance task specification abstraction toward the goal of increasing robot autonomy in real-world scenarios. We do so by tackling problems that address several different angles of this goal. First, we develop a way for the automatic discovery of optimal transition points between subtasks in the context of constrained mobile manipulation, removing the need for the human to hand-specify these in the task specification. We further propose a way to automatically describe constraints on robot motion by using demonstrated data as opposed to manually-defined constraints. Then, within the context of environmental exploration, we propose a flexible task specification framework, requiring just a set of quantiles of interest from the user that allows the robot to directly suggest locations in the environment for the user to study. We next systematically study the effect of including a robot team in the task specification and show that multirobot teams have the ability to improve performance under certain specification conditions, including enabling inter-robot communication. Finally, we propose methods for a communication protocol that autonomously selects useful but limited information to share with the other robots.Comment: PhD dissertation. 160 page

Cross-device media: a review of second screening and multi-device television

Television viewers interacting with second screens has become a common sight in the modern living room. Such activities are a mixture of related, semi-related, and non-related browsing of content. This growing trend is revolutionising the way that broadcasters think about their content. Through the envisioned connected home, driven by end-to-end IP connected networks, television content creators and app developers are now considering the design space for multi-device, interactive experiences. In this review paper, we consider the pre-digital beginnings of such scenarios, and progress to discuss how the introduction of mobile devices has affected the TV viewing experience. We discuss dual-screen usage over a variety of contexts in the connected home, with a focus on ‘designed’ dual-screen experiences such as companion applications. We conclude with reflections on the future of this area so that app developers, broadcasters, and academics may push further the space and improve future dual- and multi-screen experiences

It's Working: How the Internet Access and Online Video Markets Are Thriving in the Title II Era

Financial and marketplace evidence demonstrates that the FCC's 2015 Open Internet Order is an absolute success, accomplishing its stated goal of preserving and promoting the online ecosystem's "virtuous cycle of investment." ISP investments accelerated following the vote (e.g., aggregate capital expenditures by publicly traded ISPs have risen by more than 5 percent during the two-year period since the FCC's February 2015 vote; investments in core network technology at cable companies during that same time period are up by more than 48 percent). Investments in the edge, including those by online video providers and edge computing firms, are up as well (e.g., capital expenditures by firms in the U.S. data-processing sector increased 26 percent in the year following the FCC's order while there was just 4 percent growth in the year prior). More new U.S. "over-the-top" video services launched in the two years following the vote than in the seven years prior. Furthermore, the certainty the FCC's action created spurred the entry of numerous pay-TV full replacement providers, with vertical carriers such as AT&T now distributing (and others poised to distribute) their pay- TV services via other ISPs' last mile networks.In sum, the 2015 Open Internet Order and accompanying legal classification decision settled the prior uncertainty about open, nondiscriminatory broadband telecom service access. What followed that decision was a historic period of U.S. investment and innovation

Transportation Operations Master Plan

This document outlines a long-range vision of transportation operations for the DVRPC region. It presents transportation operations goals, objectives, and operational strategies to achieve them. An operations vision establishes a plan of where ITS infrastructure, emergency service patrols, and incident management task forces, should be deployed in the region. A series of plans and programs are identified to accomplish the regional goals and vision. Lastly, a financial analysis was conducted to estimate the costs to construct, operate, and maintain these projects

Divergent Reactions to Convergent Strategies: Investor Beliefs and Analyst Reactions During Technological Change

An important outcome of technological change is industry “convergence,” as a new technology spurs competition between established firms from different industries. We study the reactions of securities analysts, as important sources of institutional pressures for firms, to the similar product/market strategies undertaken by firms from different prior industries responding to industry convergence. Our empirical setting is the convergence between the wireline telecommunications and cable television industries in the period following the advent of voice over Internet protocol technology. Controlling for firm financial performance and capabilities, we find that analysts were consistently more positive toward the cable firms than toward the wireline telecom firms. Our findings further show that this divergence in reactions arises from differences in existing investor expectations and preferences concerning how firms create value; stocks owned by investors with a greater preference for growth receive more positive reactions than those owned by investors with a greater preference for margins. However, this divergence in reactions shrinks over time as convergence unfolds and as investors shift their shareholdings in response to misalignment between their preferences and firms\u27 strategic changes. Reactions from analysts—reflecting inertial expectations of investors—may persist for a time despite changes to firms\u27 strategies, thus creating challenges for some firms in responding to technological change and industry convergence while legitimating and enabling similar responses from their competitors

The evaluation of the electronic prescription service in primary care: final report on the findings from the evaluation in early implementer sites

This report presents the findings from The Evaluation of the Electronic Prescription Service in Primary Care, a Connecting for Health Evaluation Programme commissioned project. The projects aim, as stated in the proposal, was to evaluate Phase 3 (Release 2) of the Electronic Prescription Service (hereafter EPS R2) to determine effects on patient safety, satisfaction with care, work processes and economics. The methods used were a blend of ethnographically informed quantitative and qualitative approaches

Portraits of Visionary Leaders: Technology Directors’ Leadership Characteristics and Experiences in K–12 Independent Schools During the COVID-19 Pandemic

This study’s goal was to examine technology directors’ leadership characteristics and their experiences leading information and communication technologies in K–12 independent schools in Tennessee during the COVID-19 pandemic. As information and communication technologies’ use expanded in education, exploring educational leadership characteristics and experiences with information and communication technologies integration in K–12 was critical, especially as teachers and students depended upon remote learning during the COVID-19 pandemic. Using narrative inquiry, this study’s findings described experiences and illustrated certain visionary leadership characteristics technology directors used as they navigated information and communication technologies integration in K–12 during the COVID-19 pandemic. Two prominent themes emerged through narrative inquiry thematic analysis: supporting and adapting. Subthemes included (a1) technical support, (a2) training, (a3) encouragement, and (b1) change in the field, (b2) increasing responsibilities, and (b3) challenges of the COVID-19 pandemic. Four key conclusions included (1) leading information and communication technologies requires constant evaluation and adaptation, (2) remote learning due to the COVID-19 pandemic changed information and communication technologies use and management in schools, (3) supporting information and communication technologies in education requires a wide range of both technical skills and interpersonal skills, and (4) the technology directors in this study exhibited the leadership behaviors of visionary leadership. This study provides school administrators and professional organizations a guide for best practices among independent school technology directors, especially in a time of crisis such as the COVID-19 pandemic. Further, this study contributes to advance leadership theory by looking into the leadership of technology directors during a pandemic