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The tools and techniques for making monthly and season scale climate forecasts are rapidly changing, with the potential to provide useful forecasts at the month and longer range. We will review recent climate conditions around Alaska, review some forecast tools and finish up the Climate Prediction Center’s forecast for October and late fall/early winter season. Join the gathering online to learn more about Alaska climate and weather.
The Study of Environmental Arctic Change is beginning a new phase in which we are facilitating co-produced syntheses across disciplines and knowledge systems. In this webinar, we will introduce our team leaders, describe our approach, and seek participation of Indigenous, scientific, and decision-making experts.
ACCAP's portfolio of interwoven research and engagement in Alaska supports the underlying vision of building healthy and thriving Alaskan communities. Core themes include extreme events and impacts and capacity building in support of Tribal resilience. This webinar will detail ACCAP's proposed activities for the next 5 years.
Operational meteorology is ever-changing, and there is an increasing need to provide enhanced Impact-Based Decision Support Services (IDSS), outreach-related activities, and telework status for COVID mitigation. WFO Juneau has developed tools using ArcGIS online to fulfill these needs. Recent developments include interactive situational awareness dashboards, educational Storymaps, and office recruitment material. We will demonstrate some of these new tools and their usages.
Using both observational analysis and novel numerical modeling experiments, we showed that autumn snow cover extent and Arctic sea ice trends can force observed increasing trends in stratospheric polar vortex stretching and surface impacts. Our analysis provides a dynamical link between rapid Arctic change and extreme winter weather across large regions of the Northern Hemisphere.
This webinar will draw a link between seasonal changes in driving difficulty and moose movements that lead to a predictable spike in moose-vehicle collisions during winter. We can use this knowledge to predict the times and places where collision risk is highest, and ultimately reduce avoidable human and animal suffering.
This presentation will examine the efficacy of NUCAPS-derived near-surface lapse rate and vapor pressure deficit, mid-troposphere moisture content, and instability parameters to facilitate early warning of pyroCb development. NRL-MMD is developing fire pixel clustering and NUCAPS filtering techniques to focus on specific wildfire events that are likely to produce pyroCb activity. The overarching objective is to provide weather forecasters and firefighting agencies with a potentially invaluable resource related to hazards ensuing from convective cloud development over active wildfires.