scholarly journals Review of manuscript: CLIMADA – a global weather and climate risk assessment platform

2019 ◽  
Author(s):  
Gabriela Aznar Siguan
Keyword(s):  
Risk Assessment ◽  
Climate Risk ◽  
Weather And Climate

Open-Source Ansatz zur Abschätzung Sozioökonomischer Klimafolgen für Deutschland am Beispiel Extremer Hitze

2020 ◽  
Author(s):  
Tobias Geiger ◽  
Stefan Muthers ◽  
Matthias an der Heiden ◽  
Andreas Matzarakis ◽  
Frank Kreienkamp
Keyword(s):  
Risk Assessment ◽  
Open Source ◽  
Climate Risk ◽  
Oder Eine ◽  
Weather And Climate ◽  
Related Mortality

<p>Die Zunahme von Wetter- und Klimaextremen durch den voranschreitenden Klimawandel ist zunehmend mit gesellschaftlichen Beeinträchtigungen und ökonomischen Kosten verbunden. Eine umfassende Quantifizierung und nutzerspezifische Kommunikation dieser sozioökonomischen Klimafolgen an politische und privatwirtschaftliche Entscheider ist für die Vermeidung möglicher Folgen oder eine adäquate Anpassung unerlässlich.</p> <p>Eine Abschätzung sozioökonomischer Klimafolgen erfordert (i) Daten zur klimatischen Gefährdung, (ii) Informationen zur räumlichen Exposition sozioökonomischer Größen, (iii) Annahmen zur ihrer Sensitivität, als auch (iv) eine Maschinerie, um diese Größen gekoppelt auszuwerten. Hierfür wird in diesem Vortrag die open-source python Plattform CLIMADA [1,2] vorgestellt und zur sozioökonomischen Folgenabschätzung durch Wetter- und Klimaextreme auf Deutschland angewendet. Am Beispiel von extremer Hitze wird demonstriert, wie projizierte klimatische Trends mit unterschiedlichen Szenarien für den demographischen Wandel auf sub-nationaler Skala wechselwirken und so die möglichen Auswirkungen (z.B. durch hitzebedingte Übersterblichkeit [3]) verstärkt werden könnten.</p> <p>Die Anwendung von CLIMADA ist nicht nur auf Klimaprojektionen beschränkt, sondern erlaubt eine räumlich aufgelöste und nahtlose Bereitstellung von sozioökonomischen Risiken und ökonomischen Schäden durch Wetter- und Klimaextreme von der Wettervorhersage bis zum Ende des Jahrhunderts.</p> <p> </p> <p>Referenzen:</p> <p>[1] https://github.com/CLIMADA-project/climada_python</p> <p>[2] Aznar-Siguan, G. and Bresch, D. N., 2019: CLIMADA v1: a global weather and climate risk assessment platform, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-12-3085-2019</p> <p>[3] an der Heiden, M. et al. Heat-related mortality. Deutsches Aerzteblatt Online, doi:10.3238/arztebl.2020.0603 (2020).</p>

Bottom-up climate risk assessment of infrastructure investment in the Niger River Basin

2013 ◽  
Vol 122 (1-2) ◽  
pp. 97-110 ◽  
Author(s):  
Y. B. Ghile ◽  
M. Ü. Taner ◽  
C. Brown ◽  
J. G. Grijsen ◽  
Amal Talbi
Keyword(s):  
Risk Assessment ◽  
River Basin ◽  
Infrastructure Investment ◽  
Climate Risk ◽  
Bottom Up ◽  
Niger River

scholarly journals Assessing climate risks in rainfed farming using farmer experience, crop calendars and climate analysis

2015 ◽  
Vol 153 (8) ◽  
pp. 1380-1393 ◽  
Author(s):  
U. B. NIDUMOLU ◽  
P. T. HAYMAN ◽  
Z. HOCHMAN ◽  
H. HORAN ◽  
D. R. REDDY ◽  
...  
Keyword(s):  
Risk Assessment ◽  
Boundary Object ◽  
Climate Risk ◽  
Seasonal Forecasts ◽  
Bottom Up ◽  
Climate Risks ◽  
Rainfed Farming ◽  
Climate Records ◽  
Climate Analysis ◽  
The Impact

SUMMARYClimate risk assessment in cropping is generally undertaken in a top-down approach using climate records while critical farmer experience is often not accounted for. In the present study, set in south India, farmer experience of climate risk is integrated in a bottom-up participatory approach with climate data analysis. Crop calendars are used as a boundary object to identify and rank climate and weather risks faced by smallhold farmers. A semi-structured survey was conducted with experienced farmers whose income is predominantly from farming. Interviews were based on a crop calendar to indicate the timing of key weather and climate risks. The simple definition of risk as consequence × likelihood was used to establish the impact on yield as consequence and chance of occurrence in a 10-year period as likelihood. Farmers’ risk experience matches well with climate records and risk analysis. Farmers’ rankings of ‘good’ and ‘poor’ seasons also matched up well with their independently reported yield data. On average, a ‘good’ season yield was 1·5–1·65 times higher than a ‘poor’ season. The main risks for paddy rice were excess rains at harvesting and flowering and deficit rains at transplanting. For cotton, farmers identified excess rain at harvest, delayed rains at sowing and excess rain at flowering stages as events that impacted crop yield and quality. The risk assessment elicited from farmers complements climate analysis and provides some indication of thresholds for studies on climate change and seasonal forecasts. The methods and analysis presented in the present study provide an experiential bottom-up perspective and a methodology on farming in a risky rainfed climate. The methods developed in the present study provide a model for end-user engagement by meteorological agencies that strive to better target their climate information delivery.

High estimates of supply constrained emissions scenarios for long-term climate risk assessment

Energy Policy ◽  
2012 ◽  
Vol 51 ◽  
pp. 598-604 ◽  
Author(s):  
James D. Ward ◽  
Steve H. Mohr ◽  
Baden R. Myers ◽  
Willem P. Nel
Keyword(s):  
Risk Assessment ◽  
Climate Risk ◽  
Emissions Scenarios

The Framework for Generating Climate Risk Infographic and Applying to Risk Communication

2020 ◽  
Author(s):  
Chin Chieh Liu ◽  
Ching Pin Tung
Keyword(s):  
Climate Change ◽  
Risk Assessment ◽  
Risk Communication ◽  
Entropy Method ◽  
Climate Risk ◽  
Hazard Exposure ◽  
Adaptation Pathway ◽  
Plan Adaptation ◽  
Strategy Planning ◽  
Composition Factors

<p>      Adaptation is an indispensable part of climate change impact, and risk assessment plays an important role between data arrangement and strategy planning. This study aims at developing a framework from risk assessment to information presentation, then applying to risk communication. This framework refers to Climate Risk Template, defining risk as to the integration of hazard, exposure and sensitivity; simultaneously, Climate Risk Template is an auxiliary tool basing on Climate Change Adaptation Six Steps(CCA6Steps), which is the systematic procedure to analyze risk and plan adaptation pathway. This study emphasized on landslide disaster as the key issue and selected community residents, roads as the protected targets. First of all, collate stimulated results of landslide potential evaluation and literature, cases, questionnaires which were probed into exposure and sensitivity. Next, establish a factors list of climate risk and giving weights to correlation factors by Entropy Method. Finally, use risk matrix to evaluate the risk value and present the results of risk assessment by infographic. For essentially helping on risk communication, this study proposes a framework to make the general public understand the causes of regional disaster risk and assists executive units to implement climate risk assessment and adaptation pathway planning. Eventually, the study will innovate a prototype of using this framework; therefore, users just have to write down the key issue, protected target and choose the composition factors of risk, then they can accomplish climate risk assessment and generate climate risk infographic by themselves.</p><p>Keywords: Climate risk template, Climate risk assessment, Risk communication, infographic</p>

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