scholarly journals Creating Useful and Usable Weather and Climate Information: Insights from Participatory Scenario Planning in Malawi

2021 ◽  
pp. 77-92
Author(s):  
Dorothy Tembo-Nhlema ◽  
Katharine Vincent ◽  
Rebecka Henriksson

AbstractFor climate information to be used at the grassroots level, it needs to be understood, collectively interpreted and effectively communicated. Participatory Scenario Planning (PSP) is one method of co-producing useful and usable sectoral and livelihood advisories for decision-makers, based on locally downscaled weather (typically seasonal forecasts). The chapter outlines an initial investigation into the history and application of PSP in Malawi, finding that it can generate useful and usable information that is deemed credible, legitimate and salient by its intended users. Its usability is reinforced through the demonstration effect which leads to even sceptical farmers adopting it after they have witnessed proof of its effectiveness from early adopters. In Malawi, the sustainability of PSP is threatened due to limited integration in planning frameworks and reliance on projects, hence need for a mechanism to ensure its regular occurrence and embeddedness in formal governance structures.

2021 ◽  
pp. 100309
Author(s):  
Abdoulaye Djido ◽  
Robert B. Zougmoré ◽  
Prosper Houessionon ◽  
Mathieu Ouédraogo ◽  
Issa Ouédraogo ◽  
...  

Author(s):  
C. J. Stigter ◽  
Tan Ying ◽  
H. P. Das ◽  
Zheng Dawei ◽  
R. E. Rivero Vega ◽  
...  

Author(s):  
Misiani Zachary ◽  
Lun Yin ◽  
Mwai Zacharia ◽  
Xiaohan Zhang ◽  
Yanyan Zheng ◽  
...  

Today, traditional media is still a significant part of disseminating weather and climate information, still they have not been able to reach out to all users of the target audience alone. On the other hand, social media platforms such as Twitter, Facebook, YouTube, Instagram, etc. are used as a tool of communicating weather and climate information to various users in a well-organized manner like never before. Using a scientific research methodology of case study, the research was designed to explore how the Kenya Meteorological Department (KMD) is using Twitter and Facebook accounts for weather and climate information dissemination to various users.


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>


2013 ◽  
Vol 5 (4) ◽  
pp. 293-308 ◽  
Author(s):  
Melissa L. Finucane ◽  
Rachel Miller ◽  
L. Kati Corlew ◽  
Victoria W. Keener ◽  
Maxine Burkett ◽  
...  

Abstract Understanding how climate science can be useful in decisions about the management of freshwater resources requires knowledge of decision makers, their climate-sensitive decisions, and the context in which the decisions are being made. A mixed-methods study found that people managing freshwater resources in Hawaii are highly educated and experienced in diverse professions, they perceive climate change as posing a worrisome risk, and they would like to be better informed about how to adapt to climate change. Decision makers with higher climate literacy seem to be more comfortable dealing with uncertain information. Those with lower climate literacy seem to be more trusting of climate information from familiar sources. Freshwater managers in Hawaii make a wide range of climate-sensitive decisions. These decisions can be characterized on several key dimensions including purpose (optimization and evaluation), time horizon (short term and long term), level of information uncertainty (known, uncertain, deeply uncertain, and completely unknown), and information type (quantitative and qualitative). The climate information most relevant to decision makers includes vulnerability assessments incorporating long-term projections about temperature, rainfall distribution, storms, sea level rise, and streamflow changes at an island or statewide scale. The main barriers to using available climate information include insufficient staff time to locate the information and the lack of a clear legal mandate to use the information. Overall, the results suggest that an integrated and systematic approach is needed to determine where and when uncertain climate information is useful and how a larger set of organizational and individual variables affect decision making.


2020 ◽  
Vol 9 (1) ◽  
pp. 44 ◽  
Author(s):  
Wolfgang B. Hamer ◽  
Tim Birr ◽  
Joseph-Alexander Verreet ◽  
Rainer Duttmann ◽  
Holger Klink

Real-time identification of the occurrence of dangerous pathogens is of crucial importance for the rapid execution of countermeasures. For this purpose, spatial and temporal predictions of the spread of such pathogens are indispensable. The R package papros developed by the authors offers an environment in which both spatial and temporal predictions can be made, based on local data using various deterministic, geostatistical regionalisation, and machine learning methods. The approach is presented using the example of a crops infection by fungal pathogens, which can substantially reduce the yield if not treated in good time. The situation is made more difficult by the fact that it is particularly difficult to predict the behaviour of wind-dispersed pathogens, such as powdery mildew (Blumeria graminis f. sp. tritici). To forecast pathogen development and spatial dispersal, a modelling process scheme was developed using the aforementioned R package, which combines regionalisation and machine learning techniques. It enables the prediction of the probability of yield- relevant infestation events for an entire federal state in northern Germany at a daily time scale. To run the models, weather and climate information are required, as is knowledge of the pathogen biology. Once fitted to the pathogen, only weather and climate information are necessary to predict such events, with an overall accuracy of 68% in the case of powdery mildew at a regional scale. Thereby, 91% of the observed powdery mildew events are predicted.


2020 ◽  
Vol 101 (2) ◽  
pp. E237-E252 ◽  
Author(s):  
C. D. Hewitt ◽  
E. Allis ◽  
S. J. Mason ◽  
M. Muth ◽  
R. Pulwarty ◽  
...  

Abstract There is growing awareness among governments, businesses, and the general public of risks arising from changes to our climate on time scales from months through to decades. Some climatic changes could be unprecedented in their harmful socioeconomic impacts, while others with adequate forewarning and planning could offer benefits. There is therefore a pressing need for decision-makers, including policy-makers, to have access to and to use high-quality, accessible, relevant, and credible climate information about the past, present, and future to help make better-informed decisions and policies. We refer to the provision and use of such information as climate services. Established programs of research and operational activities are improving observations and climate monitoring, our understanding of climate processes, climate variability and change, and predictions and projections of the future climate. Delivering climate information (including data and knowledge) in a way that is usable and useful for decision-makers has had less attention, and society has yet to optimally benefit from the available information. While weather services routinely help weather-sensitive decision-making, similar services for decisions on longer time scales are less well established. Many organizations are now actively developing climate services, and a growing number of decision-makers are keen to benefit from such services. This article describes progress made over the past decade developing, delivering, and using climate services, in particular from the worldwide effort galvanizing around the Global Framework for Climate Services under the coordination of UN agencies. The article highlights challenges in making further progress and proposes potential new directions to address such challenges.


Agriculture ◽  
2020 ◽  
Vol 10 (7) ◽  
pp. 274
Author(s):  
Laura Schmitt Olabisi ◽  
Robert Ugochukwu Onyeneke ◽  
Onyinye Prince Choko ◽  
Stella Nwawulu Chiemela ◽  
Lenis Saweda O. Liverpool-Tasie ◽  
...  

Effective climate adaptation in sub-Saharan African agriculture will require coordination across multiple scales of governance. Decision-makers from local to national scales will be tasked with planning under conditions of high uncertainty, often with minimal data. Participatory scenario planning is a method for devising adaptation strategies under high uncertainty, and we hypothesized that it could also be used for identifying systemic, inclusive, and transformative adaptation options at the community scale, and for highlighting opportunities for cross-scalar collaboration. We conducted scenario exercises with two communities in southeastern Nigeria that have experienced increasing flooding and other challenges linked to climate variability. Both communities identified drivers of change that intersect with climate, as well as community-scale actions that would improve adaptation to a range of future scenarios. We found evidence that scenario exercises can stimulate communities to develop transformative approaches to climate adaptation that seek to reduce climate risk by creating new systems and processes. We also found that community-identified priorities for strategic action highlight how larger-scale interventions could coordinate with communities to adapt more effectively. Participatory scenario planning is therefore a potentially important tool for adaptation planning in regions in which future conditions are highly uncertain.


2020 ◽  
Author(s):  
Michael Angus ◽  
Gregor Leckebusch

<div>The inter-annual variability of the European windstorm season is dependent on a number of large-scale climate drivers and conditions, for example the North Atlantic Oscillation. For seasonal forecasts to provide valuable information to decision makers about the potential severity of the winter windstorm season, they must capture this relationship between large-scale climate drivers and seasonal windstorm frequency in advance. Here, we examine the performance of the latest state of the art ECMWF seasonal forecast product (SEAS5) in capturing this climate response. We apply a statistical model previously shown to well reproduce the explained behaviour of European windstorms from large-scale climate drivers (Walz et al. 2018) to SEAS5, and examine the choice of statistically significant drivers. The model applied is a stepwise Poisson regression approach to account for serial clustering within inter-annual variability of windstorms, the resultant of which categorizes each windstorm season as either active, neutral or inactive. In particular, we focus on the European region where the explained variance of the statistical model in observations is highest (Walz et al. 2018), the British Isles. In addition to comparing the performance of the model in SEAS5 and in observations, we examine which relationships are not recreated in the seasonal forecast successfully from a dynamical perspective, to provide further insight into the current ability of seasonal forecasts to represent European windstorm inter-annual variability.</div><div> </div><div>Reference:</div><div>Walz, M. A., Befort, D. J., Kirchner‐Bossi, N. O., Ulbrich, U., & Leckebusch, G. C. (2018). Modelling serial clustering and inter‐annual variability of European winter windstorms based on large‐scale drivers. <em>International Journal of Climatology</em>, <em>38</em>(7), 3044-3057.</div>


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