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Abstract
The WxChallenge is a national forecasting competition in which participants at colleges and universities across North America attempt to accurately predict daily high and low temperatures, maximum wind speed, and precipitation accumulation at a variety of locations each year. Undergraduate students make up the majority of participants. In this study, we observed trends from 11 seasons of WxChallenge data and related them to existing literature on local forecasting contests. Normalized scores were calculated each day for any participant that submitted a forecast. On average, undergraduate scores improved with continued participation in the contest. Significant gains are made during their first year by forecasters who participated for multiple years. Duration of participation in the contest plays a role, but significant improvements in performance were also noted with higher academic standing, potentially as a result of forecasting experience gained through other curricular or extracurricular activities.
Significance Statement
One avenue that aspiring meteorologists have outside the classroom to hone their forecasting skills is through the WxChallenge, a national collegiate forecasting contest. We wanted to see whether, on average, students who participated longer in the contest outperformed those who did not forecast for as long. We found this to be true. Mean scores by students who participated for more than one year improved significantly by the end of the first year, and they outperformed those without prior experience in the WxChallenge in following years. These findings are important because they can be used as evidence to motivate students to join a forecasting contest early in their academic careers, allowing them to gain skill before pursuing a career in forecasting.
Abstract
The WxChallenge is a national forecasting competition in which participants at colleges and universities across North America attempt to accurately predict daily high and low temperatures, maximum wind speed, and precipitation accumulation at a variety of locations each year. Undergraduate students make up the majority of participants. In this study, we observed trends from 11 seasons of WxChallenge data and related them to existing literature on local forecasting contests. Normalized scores were calculated each day for any participant that submitted a forecast. On average, undergraduate scores improved with continued participation in the contest. Significant gains are made during their first year by forecasters who participated for multiple years. Duration of participation in the contest plays a role, but significant improvements in performance were also noted with higher academic standing, potentially as a result of forecasting experience gained through other curricular or extracurricular activities.
Significance Statement
One avenue that aspiring meteorologists have outside the classroom to hone their forecasting skills is through the WxChallenge, a national collegiate forecasting contest. We wanted to see whether, on average, students who participated longer in the contest outperformed those who did not forecast for as long. We found this to be true. Mean scores by students who participated for more than one year improved significantly by the end of the first year, and they outperformed those without prior experience in the WxChallenge in following years. These findings are important because they can be used as evidence to motivate students to join a forecasting contest early in their academic careers, allowing them to gain skill before pursuing a career in forecasting.
Abstract
In the eastern Corn Belt of the United States, climate change is projected to bring warmer and wetter conditions, with more variability in the seasonal timing of rainfall, creating a multitude of challenges for agricultural production. While there are multiple adaptations to reduce the vulnerability of production to a changing climate, these adaptations have varying implications for other ecosystem services such as soil health, carbon sequestration, and water quality. We explore how beliefs about and experiences with climate change might influence adaptations that vary in their provisioning of a variety of ecosystem services, and how these adaptations may vary by characteristics of the farm and farmer. Survey data were collected from 908 respondents from August through October 2019. We find only one proposed adaptation, additional tile drainage, is associated with self-reported prior negative experiences with climate change and concern about future impacts. The other proposed adaptations (i.e., cover crops, filter strips, additional fertilizer) are associated with farmer identity. The type of farmer who is likely to adapt is generally reminiscent of the type who engage in conservation practices: younger, more educated, with off-farm income and larger farms. Our results indicate that many proposed adaptations are not perceived as effective ways to mitigate specific climate-driven impacts. However, increasing tile drainage is perceived as such, and there may be a need to offset the potential negative impacts to water quality of this likely adaptation through the promotion of edge-of-field filtration practices.
Significance Statement
The purpose of this study is to better understand how beliefs about and experiences with climate change may influence adaptations that vary in their provisioning of a suite of ecosystem services. We find that those who are adapting directly to the most severe and frequent climate-exacerbated impact, heavy rain at the wrong time of year, are likely to adapt in ways that may benefit production (e.g., increasing drainage tile to ensure fields are not inundated by spring rains) but have negative feedback to society in terms of water quality. Most proposed adaptations are not perceived as effective means of increasing resilience to experienced impacts but rather as practices that are the norm among conservation-minded farmers with larger operations.
Abstract
In the eastern Corn Belt of the United States, climate change is projected to bring warmer and wetter conditions, with more variability in the seasonal timing of rainfall, creating a multitude of challenges for agricultural production. While there are multiple adaptations to reduce the vulnerability of production to a changing climate, these adaptations have varying implications for other ecosystem services such as soil health, carbon sequestration, and water quality. We explore how beliefs about and experiences with climate change might influence adaptations that vary in their provisioning of a variety of ecosystem services, and how these adaptations may vary by characteristics of the farm and farmer. Survey data were collected from 908 respondents from August through October 2019. We find only one proposed adaptation, additional tile drainage, is associated with self-reported prior negative experiences with climate change and concern about future impacts. The other proposed adaptations (i.e., cover crops, filter strips, additional fertilizer) are associated with farmer identity. The type of farmer who is likely to adapt is generally reminiscent of the type who engage in conservation practices: younger, more educated, with off-farm income and larger farms. Our results indicate that many proposed adaptations are not perceived as effective ways to mitigate specific climate-driven impacts. However, increasing tile drainage is perceived as such, and there may be a need to offset the potential negative impacts to water quality of this likely adaptation through the promotion of edge-of-field filtration practices.
Significance Statement
The purpose of this study is to better understand how beliefs about and experiences with climate change may influence adaptations that vary in their provisioning of a suite of ecosystem services. We find that those who are adapting directly to the most severe and frequent climate-exacerbated impact, heavy rain at the wrong time of year, are likely to adapt in ways that may benefit production (e.g., increasing drainage tile to ensure fields are not inundated by spring rains) but have negative feedback to society in terms of water quality. Most proposed adaptations are not perceived as effective means of increasing resilience to experienced impacts but rather as practices that are the norm among conservation-minded farmers with larger operations.
Abstract
In 2018, Hurricanes Florence and Michael affected the southeastern portion of the United States, with widespread impacts in Florida, North Carolina, South Carolina, Georgia, and Virginia. The two storms were markedly different in terms of their meteorological history: Hurricane Florence made landfall as a category-1 storm approximately 2 weeks after formation, whereas Hurricane Michael made landfall as an “unprecedented” category-5 storm just 3 days after formation. The stark meteorological differences provided the opportunity to explore whether and to what extent public attention is influenced by storm severity. This study utilized both direct (i.e., tweet volume and search volume) and indirect (i.e., number of newspaper articles) measures to explore public attention at different scales. Data showed that Hurricane Florence received more attention than Hurricane Michael, both regionally and nationally, across all three measures. The findings also underscore the importance of time for the process of attention building, especially at the national level. Taken together, the results suggest that storm severity, forecast lead time, previous meteorological history, and population density intersect with one another to influence public attention in complex ways. The paper concludes with some opportunities for research that may provide additional insights into the linkages between attention, perception, and decision-making.
Significance Statement
The purpose of this study was to better understand the factors that influence public attention to extreme weather. This is important because attention is often noted for its mediating effect on decision-making. We found that public attention was greater during Hurricane Florence, despite the fact that Hurricane Michael was an “unprecedented” category-5 storm. Taken together, this suggests that storm severity, forecast lead time, previous meteorological history, and population density intersect with one another to influence public attention in complex ways.
Abstract
In 2018, Hurricanes Florence and Michael affected the southeastern portion of the United States, with widespread impacts in Florida, North Carolina, South Carolina, Georgia, and Virginia. The two storms were markedly different in terms of their meteorological history: Hurricane Florence made landfall as a category-1 storm approximately 2 weeks after formation, whereas Hurricane Michael made landfall as an “unprecedented” category-5 storm just 3 days after formation. The stark meteorological differences provided the opportunity to explore whether and to what extent public attention is influenced by storm severity. This study utilized both direct (i.e., tweet volume and search volume) and indirect (i.e., number of newspaper articles) measures to explore public attention at different scales. Data showed that Hurricane Florence received more attention than Hurricane Michael, both regionally and nationally, across all three measures. The findings also underscore the importance of time for the process of attention building, especially at the national level. Taken together, the results suggest that storm severity, forecast lead time, previous meteorological history, and population density intersect with one another to influence public attention in complex ways. The paper concludes with some opportunities for research that may provide additional insights into the linkages between attention, perception, and decision-making.
Significance Statement
The purpose of this study was to better understand the factors that influence public attention to extreme weather. This is important because attention is often noted for its mediating effect on decision-making. We found that public attention was greater during Hurricane Florence, despite the fact that Hurricane Michael was an “unprecedented” category-5 storm. Taken together, this suggests that storm severity, forecast lead time, previous meteorological history, and population density intersect with one another to influence public attention in complex ways.
Abstract
Hurricane forecasts are often communicated through visualizations depicting the possible future track of the storm. The cone of uncertainty (COU) is a commonly used visualization, but the graphic is prone to misinterpretation such as thinking only locations contained within the cone’s boundary are at risk. In this study, we investigated the utility of conveying hurricane forecast tracks using a set of animated icons, each representing an instance of a possible storm path. We refer to this new visualization as animated risk trajectories (ARTs). We measured nonexperts’ perception of risk when viewing simplified, hypothetical hurricane forecasts presented as ARTs or COUs. To measure perception of risk for each visualization type, we designed experiments to have participants make decisions to evacuate individual towns at varying distances from the most likely forecast path of a storm. The ARTs led to greater risk perception in areas that fell beyond the cone’s boundaries. Nonexperts’ interpretation of risk was impacted by the visual properties of the ARTs, such as the distribution of the icons, including their density, and whether the distribution was unimodal or bimodal. This supports the suggestion that ARTs can have value in communicating spatial–temporal uncertainty.
Significance Statement
Because of the inherent uncertainties in weather forecasts and emergency management planning, communicating hurricane risk to the public is a unique challenge for decision-makers. Our study investigated the effect of conveying uncertainty in hurricane forecast tracks using a distribution of animated icons [animated risk trajectories (ARTs)], which correspond to potential hurricane tracks that evolve over time. This visualization was compared with a simplified cone-of-uncertainty graphic, such as those used by the National Hurricane Center. We found that ARTs offered flexibility in conveying information about hurricane risk, such as the magnitude of the risk via the number of icons and the location of the risk via the distribution of icons.
Abstract
Hurricane forecasts are often communicated through visualizations depicting the possible future track of the storm. The cone of uncertainty (COU) is a commonly used visualization, but the graphic is prone to misinterpretation such as thinking only locations contained within the cone’s boundary are at risk. In this study, we investigated the utility of conveying hurricane forecast tracks using a set of animated icons, each representing an instance of a possible storm path. We refer to this new visualization as animated risk trajectories (ARTs). We measured nonexperts’ perception of risk when viewing simplified, hypothetical hurricane forecasts presented as ARTs or COUs. To measure perception of risk for each visualization type, we designed experiments to have participants make decisions to evacuate individual towns at varying distances from the most likely forecast path of a storm. The ARTs led to greater risk perception in areas that fell beyond the cone’s boundaries. Nonexperts’ interpretation of risk was impacted by the visual properties of the ARTs, such as the distribution of the icons, including their density, and whether the distribution was unimodal or bimodal. This supports the suggestion that ARTs can have value in communicating spatial–temporal uncertainty.
Significance Statement
Because of the inherent uncertainties in weather forecasts and emergency management planning, communicating hurricane risk to the public is a unique challenge for decision-makers. Our study investigated the effect of conveying uncertainty in hurricane forecast tracks using a distribution of animated icons [animated risk trajectories (ARTs)], which correspond to potential hurricane tracks that evolve over time. This visualization was compared with a simplified cone-of-uncertainty graphic, such as those used by the National Hurricane Center. We found that ARTs offered flexibility in conveying information about hurricane risk, such as the magnitude of the risk via the number of icons and the location of the risk via the distribution of icons.
Abstract
This study investigates whether and how energy consumers respond to public appeals for voluntary conservation during an extended and extreme winter energy emergency. Public appeals are an increasingly important tool for managing demand when grid disruptions are anticipated, especially given the increase in severe-weather events. We add to the few studies on winter energy crises by investigating a case in which there were repeated public appeals during an extended event. Using a survey implemented via social media immediately after the February 2021 winter storm, we asked residents of Norman, Oklahoma, a series of questions about their responses to the public appeals distributed by the utility company, including whether they followed the actions suggested in the messages as well as where they got information and their level of concern about the storm impacts. We compare mean responses across a range of categorical answers using standard independent t tests, one-way ANOVA tests, and chi-squared tests. Among the 296 respondents, there was a high degree of reported compliance, including setting the thermostat to 68°F (20°C) or lower (72%), avoiding using major appliances (86%), and turning off nonessential appliances, lights, and equipment (89%). Our findings suggest a high degree of willingness to voluntarily reduce energy consumption during an energy emergency. This is encouraging for energy managers: public appeals can be disseminated via social media at a low cost and in real time during an extended emergency event.
Significance Statement
The purpose of this study is to better understand whether and how energy consumers respond to public appeals for voluntary conservation during a winter energy emergency event. This is important because voluntary conservation can help utility managers minimize grid disruptions, particularly if consumers respond to evolving conditions. Our survey results suggest that individuals are willing to voluntarily conserve energy and follow conservation recommendations provided by utility managers during a severe winter event.
Abstract
This study investigates whether and how energy consumers respond to public appeals for voluntary conservation during an extended and extreme winter energy emergency. Public appeals are an increasingly important tool for managing demand when grid disruptions are anticipated, especially given the increase in severe-weather events. We add to the few studies on winter energy crises by investigating a case in which there were repeated public appeals during an extended event. Using a survey implemented via social media immediately after the February 2021 winter storm, we asked residents of Norman, Oklahoma, a series of questions about their responses to the public appeals distributed by the utility company, including whether they followed the actions suggested in the messages as well as where they got information and their level of concern about the storm impacts. We compare mean responses across a range of categorical answers using standard independent t tests, one-way ANOVA tests, and chi-squared tests. Among the 296 respondents, there was a high degree of reported compliance, including setting the thermostat to 68°F (20°C) or lower (72%), avoiding using major appliances (86%), and turning off nonessential appliances, lights, and equipment (89%). Our findings suggest a high degree of willingness to voluntarily reduce energy consumption during an energy emergency. This is encouraging for energy managers: public appeals can be disseminated via social media at a low cost and in real time during an extended emergency event.
Significance Statement
The purpose of this study is to better understand whether and how energy consumers respond to public appeals for voluntary conservation during a winter energy emergency event. This is important because voluntary conservation can help utility managers minimize grid disruptions, particularly if consumers respond to evolving conditions. Our survey results suggest that individuals are willing to voluntarily conserve energy and follow conservation recommendations provided by utility managers during a severe winter event.
Abstract
Climate services are high on the international agenda for their potential to help combat the effects of climate change. However, climate science is rarely directly incorporated into the decision-making processes of societal actors, due to what has been identified as the usability gap. This gap is partially due to a failure to timely and meaningfully engage users in the production of climate services, as well as misperceptions as to which users can best benefit from climate service uptake. In this article, we propose user selection and engagement guidelines that integrate important values from participatory science such as those of legitimacy, representativity, and agency. The guidelines consist of 5 + 1 steps: defining why, where, whom, which attributes, and which intensity and how to select and engage with stakeholders. While these steps may be initially implemented by an ideally interdisciplinary team of scientists and service designers, the final step consists of an iterative process by which each decision is agreed on together with the identified users and stakeholders under a coproduction approach. We believe this systematic user selection and engagement practice is key to support the design of climate services aligned to the actual needs of a wide and inclusive range of empowered societal agents.
Significance Statement
A review of the climate science and services literature and related research projects reveals that, despite the insistence to include users in all stages of the research process, users are often involved only sporadically and inconsistently and when there is little room to change the climate service suitable for decision-making. Here, we argue that a reason for this is the lack of user selection and engagement guidelines. Failure to implement a research design strategy for these decisions can lead to a lack of usability and applicability of the produced climate-related services, as well as hampering their long-term uptake. These guidelines can thus support the development of usable, coproduced, actionable climate science.
Abstract
Climate services are high on the international agenda for their potential to help combat the effects of climate change. However, climate science is rarely directly incorporated into the decision-making processes of societal actors, due to what has been identified as the usability gap. This gap is partially due to a failure to timely and meaningfully engage users in the production of climate services, as well as misperceptions as to which users can best benefit from climate service uptake. In this article, we propose user selection and engagement guidelines that integrate important values from participatory science such as those of legitimacy, representativity, and agency. The guidelines consist of 5 + 1 steps: defining why, where, whom, which attributes, and which intensity and how to select and engage with stakeholders. While these steps may be initially implemented by an ideally interdisciplinary team of scientists and service designers, the final step consists of an iterative process by which each decision is agreed on together with the identified users and stakeholders under a coproduction approach. We believe this systematic user selection and engagement practice is key to support the design of climate services aligned to the actual needs of a wide and inclusive range of empowered societal agents.
Significance Statement
A review of the climate science and services literature and related research projects reveals that, despite the insistence to include users in all stages of the research process, users are often involved only sporadically and inconsistently and when there is little room to change the climate service suitable for decision-making. Here, we argue that a reason for this is the lack of user selection and engagement guidelines. Failure to implement a research design strategy for these decisions can lead to a lack of usability and applicability of the produced climate-related services, as well as hampering their long-term uptake. These guidelines can thus support the development of usable, coproduced, actionable climate science.
Abstract
Wilderness visitation, particularly overnight use, is reactive to climate variability because backpackers face greater exposure to and dependence on environmental conditions. This study examines the effect that spring snowpack had on the timing and volume of permits issued for overnight use of the Yosemite Wilderness during peak and shoulder-season months (April–October) from 2002 to 2019. We categorize 1 April snowpack at Tuolumne Meadows into snow drought (<75%), high snowpack (>125%), and near-average snowpack (75%–125%). Results confirm wilderness-wide differences between snowpack categories, including change in spring overnight visitors (April–June: +20% snow drought and −28% high snowpack). Our findings confirm that snow drought allows for more access to high-elevation trailheads when seasonal roads are open earlier in spring (May–June: +74% Tioga Road and +81% Tuolumne Meadows). Mid- to high-elevation trailheads experience a sustained increase in use during high-snowpack years (June–October: +12% Yosemite Valley and Big Oak Flat; +15% Glacier Point Road and Wawona; +32% Hetch Hetchy) because a narrower seasonal access window leads to filled permit quotas in the high country and displaces use to lower-elevation trailheads. These findings have implications for wilderness stewards, including biophysical and experiential impacts on wilderness character from earlier and longer seasons, especially at higher elevation and in fragile alpine and subalpine areas, as snow drought in mountain-protected areas becomes more common. Recommendations to address greater early-season use and its attendant impacts include adaptively managing permits for different types of snowpack years, including potential changes in the number, timing, and destination of select trailhead quotas.
Abstract
Wilderness visitation, particularly overnight use, is reactive to climate variability because backpackers face greater exposure to and dependence on environmental conditions. This study examines the effect that spring snowpack had on the timing and volume of permits issued for overnight use of the Yosemite Wilderness during peak and shoulder-season months (April–October) from 2002 to 2019. We categorize 1 April snowpack at Tuolumne Meadows into snow drought (<75%), high snowpack (>125%), and near-average snowpack (75%–125%). Results confirm wilderness-wide differences between snowpack categories, including change in spring overnight visitors (April–June: +20% snow drought and −28% high snowpack). Our findings confirm that snow drought allows for more access to high-elevation trailheads when seasonal roads are open earlier in spring (May–June: +74% Tioga Road and +81% Tuolumne Meadows). Mid- to high-elevation trailheads experience a sustained increase in use during high-snowpack years (June–October: +12% Yosemite Valley and Big Oak Flat; +15% Glacier Point Road and Wawona; +32% Hetch Hetchy) because a narrower seasonal access window leads to filled permit quotas in the high country and displaces use to lower-elevation trailheads. These findings have implications for wilderness stewards, including biophysical and experiential impacts on wilderness character from earlier and longer seasons, especially at higher elevation and in fragile alpine and subalpine areas, as snow drought in mountain-protected areas becomes more common. Recommendations to address greater early-season use and its attendant impacts include adaptively managing permits for different types of snowpack years, including potential changes in the number, timing, and destination of select trailhead quotas.
Abstract
Sustainable development is a challenging field of research, colored by the paradoxes of modernity and development, and the trade-offs involved in balancing the “sustainable” and “development” sides of the various sustainable development goals. We must take these overarching challenges into account when entering a more specific discussion of what a concept of sustainable climate change adaptation may entail. This article reviews the history of this concept, including insights provided by the recent publications composing a special collection of Weather, Climate, and Society on the topic of sustainable climate change adaptation. This collection reflects on why and how the term sustainable development should be included in our understandings of and efforts toward climate change adaptation and proposes a preliminary framework for distinguishing between conventional and sustainable adaptation.
Significance Statement
This article reviews the history of the term “sustainable climate change adaptation” and reflects on the relationship between sustainable development and climate change adaptation efforts. It ends by proposing a framework for distinguishing between conventional and sustainable adaptation.
Abstract
Sustainable development is a challenging field of research, colored by the paradoxes of modernity and development, and the trade-offs involved in balancing the “sustainable” and “development” sides of the various sustainable development goals. We must take these overarching challenges into account when entering a more specific discussion of what a concept of sustainable climate change adaptation may entail. This article reviews the history of this concept, including insights provided by the recent publications composing a special collection of Weather, Climate, and Society on the topic of sustainable climate change adaptation. This collection reflects on why and how the term sustainable development should be included in our understandings of and efforts toward climate change adaptation and proposes a preliminary framework for distinguishing between conventional and sustainable adaptation.
Significance Statement
This article reviews the history of the term “sustainable climate change adaptation” and reflects on the relationship between sustainable development and climate change adaptation efforts. It ends by proposing a framework for distinguishing between conventional and sustainable adaptation.
Abstract
Spanning 464.24 km2, Pokhara Metropolitan City is Nepal’s largest city by area. With over 400 000 residents, it is also Nepal’s second most populous city. This research investigated a biometeorological system present within Pokhara Metropolitan City concerning air pollution, meteorological conditions, and health. Different aspects of this system are more or less influential in various regions of the city, and understanding these relationships can assist with future health interventions for limiting exposure to pollutants. This research was completed using datasets published in government records and scientific literature, showcasing what can be accomplished with open-source data. Key findings were a positive correlation between air pollution levels and chronic obstructive pulmonary disease (COPD) hospital admissions to Pokhara’s Western Regional Hospital and a negative correlation between meteorological measurements and hospital admissions. These findings aligned with the general body of literature on risk factors for COPD hospitalizations. Multivariate regressions yielded better predictions for hospital admissions using both mean low and high temperatures as opposed to using one temperature variable, which implied both daily low and high temperatures are related to hospital admissions. Results also revealed air pollution levels for pollutants ≤ 10 and > 2.5 μm were better predictors of hospital admissions than air pollutants sized 2.5 μm and below. Findings prompted questions about the relationships between different pollutant sizes and their correlations to COPD hospitalizations. Findings also yielded questions about health interventions and Pokhara’s built environment, which may be investigated in future research.
Abstract
Spanning 464.24 km2, Pokhara Metropolitan City is Nepal’s largest city by area. With over 400 000 residents, it is also Nepal’s second most populous city. This research investigated a biometeorological system present within Pokhara Metropolitan City concerning air pollution, meteorological conditions, and health. Different aspects of this system are more or less influential in various regions of the city, and understanding these relationships can assist with future health interventions for limiting exposure to pollutants. This research was completed using datasets published in government records and scientific literature, showcasing what can be accomplished with open-source data. Key findings were a positive correlation between air pollution levels and chronic obstructive pulmonary disease (COPD) hospital admissions to Pokhara’s Western Regional Hospital and a negative correlation between meteorological measurements and hospital admissions. These findings aligned with the general body of literature on risk factors for COPD hospitalizations. Multivariate regressions yielded better predictions for hospital admissions using both mean low and high temperatures as opposed to using one temperature variable, which implied both daily low and high temperatures are related to hospital admissions. Results also revealed air pollution levels for pollutants ≤ 10 and > 2.5 μm were better predictors of hospital admissions than air pollutants sized 2.5 μm and below. Findings prompted questions about the relationships between different pollutant sizes and their correlations to COPD hospitalizations. Findings also yielded questions about health interventions and Pokhara’s built environment, which may be investigated in future research.
