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Roberta Balstad

One of the functions of Weather, Climate, and Society is to provide a scientific forum for research on the ways that weather and climate affect individuals and their societies and, conversely, the ways that socioeconomic forces influence weather and climate. The articles in this issue address these topics from a number of different perspectives. For example, “Land Use Change in Central Florida and Sensitivity Analysis Based on Agriculture to Urban Extreme Conversion,” by Hernandez et al

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Corrine Noel Knapp, Shannon M. McNeeley, John Gioia, Trevor Even, and Tyler Beeton

lands. Climate change is already shifting the timing, quality, and quantity of these ecosystem services and is projected to continue to influence them into the future ( Gonzalez et al. 2018 ; Gordon et al. 2014 ; Reidmiller et al. 2018 ). The Bureau of Land Management’s (BLM) mission involves managing landscapes for multiple uses. In the context of a changing climate, this is a complex task, requiring maintaining ecosystem health while providing and managing ecosystem services to maintain multiple

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George Maier, Andrew Grundstein, Woncheol Jang, Chao Li, Luke P. Naeher, and Marshall Shepherd

use/land cover, which can affect heat exposure, involves factors such as sociodemographic characteristics of the population, access to medical care and air-conditioning, and even acclimatization. This study seeks to determine if counties in the state of Georgia, United States, with greater vulnerability, as defined by a heat vulnerability index (HVI), experience greater mortality during times of oppressive heat compared to counties with lesser vulnerability levels. Georgia provides an excellent

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Kirsten Lackstrom, Nathan P. Kettle, Benjamin Haywood, and Kirstin Dow

planners, and hazard management departments. The tourism and recreation sector is represented by industry and business (e.g., visitors’ bureaus, travel associations), as well as outdoor recreation interests. Table 1. Study participation by sector, organization type, and geographic scale. 4. Findings a. Decision-making context and information use North Carolina and South Carolina share similar climates, resources, and economies and face parallel challenges related to land use, coastal development, and

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Christopher T. Emrich and Susan L. Cutter

county, we computed the county area within the high category of extreme drought. We then took the county area in high extreme drought/total county land area and mapped the percentages using the three-class standard deviation method. This produced the county-level extreme drought hazard exposure classed into limited, moderate, and elevated categories. 2) Flooding Geospatial data associated with the Federal Emergency Management Agency (FEMA)’s National Flood Risk Report ( Federal Emergency Management

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Rachel E. Riley

investment when considering longer-term planning time scales ( Porter et al. 2017 ). One step toward mitigating the impact of climate hazards on longer time scales is to first understand the climate risk profile of a jurisdiction(s). Yet, many HMPs contain information that is inadequate or not locally relevant. In addition to the FEMA HMP, climate data and information are increasingly being included in other types of plans including comprehensive plans, land use plans, sustainability plans, and economic

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Ole Bruun

coastline, and a population of 1.5 million. The province has a high exposure, yet moderate sensitivity, to climate events (mainly typhoons, floods, and flash floods) and a relatively high level of poverty. Alongside exposure to extreme weather events possibly related to climate change, the province is undergoing rapid industrialization, including large-scale construction and changing land use practices with massive environmental impacts. Deficient regulation and enforcement add to the pressure on the

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Amber Saylor Mase and Linda Stalker Prokopy

reduce weather and climate impacts ( Ash et al. 2007 ; Hansen 2002 ; Livezey and Timofeyeva 2008 ; Quan et al. 2006 ; Westra and Ashish 2010 ). However, these weather resources need to be designed and delivered in ways that promote farmers’ willingness and ability to use them to aid in agricultural decision making. A substantial amount of social science research has been conducted on aspects of use and perceived usefulness of weather and climate information as tools for farmers, and in some cases

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D. H. Cobon, R. Darbyshire, J. Crean, S. Kodur, M. Simpson, and C. Jarvis

economic model. The economic model maximized returns by choosing the stocking rate that had the highest return weighted for each three climate states according to the prescribed forecast skill for each pasture and price setting. The economic model takes the form of a discrete stochastic programming problem, as outlined by Crean et al. (2013) , which can be solved through adapting a conventional linear programming model [Eq. (4) ]. The model is subject to normal constraints on the use of land and

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Karen Raucher, Robert Raucher, Kenan Ozekin, and Kristin Wegner

are already at the table for community planning and extreme event preparedness. They are trusted sources by mayors, city councils, and local and state planning agencies for information regarding water and extreme events. They are, therefore, in a critical position to help prepare their communities for climate change. In response to large climate uncertainty—coupled with the uncertainty facing water utilities from economic and demographic changes, shifts in technology and land use planning, and the

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