Constructing regional climate information relevant for risk assessments and decision making

Author(s):  
Anna Sorensson
2013 ◽  
Vol 5 (1) ◽  
pp. 83-92 ◽  
Author(s):  
Zack Guido ◽  
Dawn Hill ◽  
Michael Crimmins ◽  
Daniel Ferguson

Abstract The demand for regional climate information is increasing and spurring efforts to provide a broad slate of climate services that inform policy and resource management and elevate general knowledge. Routine syntheses of existing climate-related information may be an effective strategy for connecting climate information to decision making, but few studies have formally assessed their contribution to informing decisions. During the 2010–11 winter, drought conditions expanded and intensified in Arizona and New Mexico, creating an opportunity to develop and evaluate a monthly regional climate communication product—La Niña Drought Tracker—that synthesized and interpreted drought and climate information. Six issues were published and subsequently evaluated through an online survey. On average, 417 people consulted the publication each month. Many of the survey respondents indicated that they made at least one drought-related decision, and the product at least moderately influenced the majority of those decisions, some of which helped mitigate economic losses. More than 90% of the respondents also indicated that the product improved their understanding of climate and drought, and that it helped the majority of them better prepare for drought. The results demonstrate that routine interpretation and synthesis of existing climate information can help enhance access to and understanding and use of climate information in decision making, fulfilling the main goals for the provision of climate services.


Author(s):  
María Laura Bettolli

Global climate models (GCM) are fundamental tools for weather forecasting and climate predictions at different time scales, from intraseasonal prediction to climate change projections. Their design allows GCMs to simulate the global climate adequately, but they are not able to skillfully simulate local/regional climates. Consequently, downscaling and bias correction methods are increasingly needed and applied for generating useful local and regional climate information from the coarse GCM resolution. Empirical-statistical downscaling (ESD) methods generate climate information at the local scale or with a greater resolution than that achieved by GCM by means of empirical or statistical relationships between large-scale atmospheric variables and the local observed climate. As a counterpart approach, dynamical downscaling is based on regional climate models that simulate regional climate processes with a greater spatial resolution, using GCM fields as initial or boundary conditions. Various ESD methods can be classified according to different criteria, depending on their approach, implementation, and application. In general terms, ESD methods can be categorized into subgroups that include transfer functions or regression models (either linear or nonlinear), weather generators, and weather typing methods and analogs. Although these methods can be grouped into different categories, they can also be combined to generate more sophisticated downscaling methods. In the last group, weather typing and analogs, the methods relate the occurrence of particular weather classes to local and regional weather conditions. In particular, the analog method is based on finding atmospheric states in the historical record that are similar to the atmospheric state on a given target day. Then, the corresponding historical local weather conditions are used to estimate local weather conditions on the target day. The analog method is a relatively simple technique that has been extensively used as a benchmark method in statistical downscaling applications. Of easy construction and applicability to any predictand variable, it has shown to perform as well as other more sophisticated methods. These attributes have inspired its application in diverse studies around the world that explore its ability to simulate different characteristics of regional climates.


Author(s):  
Marina Baldissera Pacchetti ◽  
Suraje Dessai ◽  
Seamus Bradley ◽  
David A. Stainforth

CapsuleA framework for the assessment of quality in regional climate information needs to include dimensions such as: Diversity, Completeness, Theory, Adequacy for purpose, and Transparency.


2018 ◽  
Vol 13 (6) ◽  
pp. 060401 ◽  
Author(s):  
C J Lennard ◽  
G Nikulin ◽  
A Dosio ◽  
W Moufouma-Okia

2021 ◽  
Author(s):  
Jana Sillmann ◽  
Melanie Burford ◽  
Miriam Stackpole Dahl

<p>Extreme floods with severe impacts have hit municipalities in Western Norway in recent decades and they will become more intense and frequent with global warming. We present a project that focused on providing an approach for visualizing climate change information for decision-makers challenged with planning resilient infrastructure and preparedness measures for future flood impacts. We have chosen visual storytelling through a short film as the most suitable and effective tool for building a communication strategy to reach out to local and regional decision-makers on the one hand and the research community on the other.</p><p>The objective was to present and communicate results from a research project in a film by focusing on low-probability high-impact events using a storyline approach. The scope of the research project was to provide Norwegian stakeholders with a realistic representation of how an observed high-impact event of the past will look like under projected future climate conditions (Schaller et al. 2020, Hegdahl et al. 2020). Recent high-impact flood events in Norway have emphasized the need for more proactive climate change adaptation. This requires local, actionable and reliable climate information to support the decision making as well as awareness and consideration of barriers to adaptation. Thus, a seamless chain from global climate system modelling over high-resolution hydrological modelling to impact assessments is needed. We have therefore taken a novel "Tales of future weather" approach (Hazeleger et al. 2015), which suggests that scenarios tailored to a specific region and stakeholder context in combination with numerical weather prediction models will offer a more realistic picture of what future weather might look like, hence facilitating adaptation planning and implementation.</p><p>The film we produced particularly focuses on the extreme flood event in October 2005 that affected people (including fatalities) in Bergen municipality, how the event can be seen in context of historic floods and its atmospheric drivers. It tells the story of people having experienced this event and how Bergen municipality was responding to that event.  One key objective of the film is to drive interest and attention to the event-based storyline approach (Sillmann et al. 2020) to facilitate uptake of climate information and to empower decision makers with new knowledge and tools to assist them in their decision making.</p><p> </p><p><strong>References</strong></p><p>Hazeleger, W., B. Van den Hurk, E. Min, G-J. Van Oldenborgh, A. Petersen, D. Stainforth, D., E. Vasileiadou, and L. Smith, 2015: Tales of future weather. Nature Climate Change, 5, 107-113, doi: 10.1038/nclimate2450.</p><p>Hegdahl, T.J., K. Engeland, M. Müller and J. Sillmann, 2020: Atmospheric River induced floods in western Norway – under present and future climate, J. Hydrometeorology, doi: 10.1175/JHM-D-19-0071.1.</p><p>Schaller, N., J. Sillmann, M. Mueller, R. Haarsma, W. Hazeleger, T. Jahr Hegdahl, T. Kelder, G. van den Oord, A. Weerts, and K. Whan, 2020: The role of spatial and temporal model resolution in a flood event storyline approach in Western Norway, Weather and Climate Extremes, 29, doi: 10.1016/j.wace.2020.100259.</p><p>Sillmann, J., T. G. Shepherd, B. van den Hurk, W. Hazeleger, O. Martius, J. Zscheischler, 2020: Event-based storylines to address climate risk, Earth’s Future, doi: 10.1029/2020EF001783.</p>


Author(s):  
Christina Campbell ◽  
William Miller

Juvenile risk assessment instruments have provided juvenile courts with the opportunity to make standardized decisions concerning sentences and intervention needs. Risk assessments have replaced the reliance on professional decision-making practices in which court officials relied on their hunches or previous experience to determine what to do with youth once they became involved in corrections. A primary goal of juvenile risk assessment is to improve case management and help courts focus resources on juveniles who exhibit the greatest intervention needs. Further, juvenile risk assessments play a critical role in estimating which juveniles will likely reoffend by identifying factors that increase the propensity of future offending. Although some researchers believe that the implementation of standardized juvenile risk assessments is a good strategy for reducing biased decision-making for racial/ethnic minorities, other researchers have called into question the extent to which risk assessments overestimate risk for certain juveniles, especially those in minority groups who have a history of being marginalized due to their race, culture, or ethnicity. This article provides an overview of how well juvenile risk assessment instruments predict future delinquency across race and ethnicity. The review suggests that in general, risk assessments do a good job in predicting recidivism across racial/ethnic groups for diverse populations inside and outside the United States. However, there is still some room for improvement concerning the assessment of risk and needs for ethnic minorities. In addition, while there are some studies that do not report the predictive validity of risk assessment scores across race/ethnicity, risk assessments overall seem to be a promising effort to correctly classify and/or identify juveniles who are at greatest risk for future recidivism.


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