ORCID Profile
0000-0002-7722-8252
Current Organisations
Sky4geo
,
Cawthron Institute
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Publisher: Wiley
Date: 05-2017
DOI: 10.1002/JQS.2944
Publisher: Copernicus GmbH
Date: 28-03-2022
DOI: 10.5194/EGUSPHERE-EGU22-10346
Abstract: & & & & & span& Forests cover large parts of mountain areas. It is therefore necessary to include their effects in simulations at the regional scale to understand the key role forests have for risk mitigation. Process-based physical models can be used for such simulations, but they often require larger computational resources than statistical models. Flow-Py is a customizable, open-source simulation tool to predict the runout and intensity of gravitational mass flows (GMF). Flow-Py is based on data-driven empirical modeling ideas with automated path identification to solve the routing and stopping of GMFs in three-dimensional terrain, requiring fewer parameters than physical GMF runout models. Here we present the & /span& & span& custom-built& #8239 & /span& & span& forest plug-in to the Flow-Py simulation tool which accounts for forest effects in the transit and runout zones of snow avalanches.& /span& & span& & & /span& & & & / & & & & & & span& Flow-Py employs the well-known runout angle (& #945 ) concept to determine the stopping of a GMF, and routing algorithm consisting of a terrain contribution and persistence contribution. The interaction between forest and avalanches, which can reduce their runout and decrease their intensity can be broken down into two main processes, 1) adding friction and 2) reducing flowing mass or the detrainment of snow. The forest plug-in has the capability to mimic these physical interactions by increasing the runout angle and adjusting the routing flux in forested areas. We present the framework of the forest plug-in for a test case and the results of a sensitivity study on parameters controlling the forest-avalanche interaction. & /span& & span& & & /span& & & & / & & & & & & span& The forest plug-in requires the spatial extent of the forest and an estimate of the kinetic energy of the avalanche to compute the forest& #8217 s effect on the avalanche movement. Additional information on the structure of the forest (e.g., forest type, stem density, canopy cover, basal area) can be used to lify or d en these effects. The forest information is summarized in the forest structure index (FSI), which indicates how developed a forest is with regards to its optimal protective effect against snow avalanches and ranges between 0 (no protection) and 1 (optimal protection), considering, e.g., dominant forest type, elevation band, or the forest development stage.& /span& & span& & & /span& & & & / & & & & & & span& Forests located in the starting zones of avalanches have long been used as an efficient mitigation measure to reduce avalanche risk. However, forests located in the transit and runout zones of avalanches also have mitigating properties, but the degree of protection is difficult to quantify without simulation tools and their integrated models. Including forest-avalanche interactions in regional-scale simulations with Flow-Py and its forest plug-in allows to estimate the degree to which forest protects human activity and infrastructure against potential avalanches. That is, by combining simulation results with and without forest it is possible to estimate the forest impact, i.e., how much the forest reduces the magnitude (runout and intensity) of the avalanche. Such regional overviews can be calculated fast with large-scale input data, which is important to, e.g., quantify changes in the protective effect of a forest area caused by disturbance agents such as wind, bark beetles or fire. & /span& & span& & & /span& & & & / &
Publisher: Wiley
Date: 06-08-2018
DOI: 10.1002/JQS.3058
Publisher: Springer Science and Business Media LLC
Date: 11-07-2017
Abstract: Reproducible climate reconstructions of the Common Era (1 CE to present) are key to placing industrial-era warming into the context of natural climatic variability. Here we present a community-sourced database of temperature-sensitive proxy records from the PAGES2k initiative. The database gathers 692 records from 648 locations, including all continental regions and major ocean basins. The records are from trees, ice, sediment, corals, speleothems, documentary evidence, and other archives. They range in length from 50 to 2000 years, with a median of 547 years, while temporal resolution ranges from biweekly to centennial. Nearly half of the proxy time series are significantly correlated with HadCRUT4.2 surface temperature over the period 1850–2014. Global temperature composites show a remarkable degree of coherence between high- and low-resolution archives, with broadly similar patterns across archive types, terrestrial versus marine locations, and screening criteria. The database is suited to investigations of global and regional temperature variability over the Common Era, and is shared in the Linked Paleo Data (LiPD) format, including serializations in Matlab, R and Python.
Publisher: Wiley
Date: 21-01-2023
DOI: 10.1002/PAN3.10430
Abstract: Metaphor, defined as the linguistic substitution of one phenomenon for another, is ubiquitous in environmental science and policy. In science, when used well, metaphors help to make complex and abstract ideas familiar and relatable, while also helping people orient ethically to the natural world. In freshwater science, metaphors structure many aspects of scientific and lay understanding. Yet, while metaphors are often used in environmental science and advocacy, there is a need to join up our currently diffuse understandings about how metaphors can help achieve social transformation for sustainability. Here, we focus on how metaphors are enshrined into institutions, giving them permanence and force as tools for social transformation. We explore three ex les of metaphors in environmental science and activism that have ‘gone public’ to shape freshwater politics and governance in Aotearoa New Zealand (henceforth Aotearoa NZ). We focus on the origins, strategic purposes and limitations of the metaphors, the ways they have been institutionalised, and the roles that scientists in particular have played in shaping metaphorical meanings. Metaphors perform erse political tasks, from mobilising popular support for species removal, to reorienting human obligations to rivers, through to expanding the scope of vision for river management. Scientists play key roles in shaping both regulatory institutions as well as informal norms that affect metaphor implementation. Finally, what makes a ‘good’ metaphor needs to be evaluated in context of who is mobilising the metaphor and what their broader sustainability values and objectives are. Read the free Plain Language Summary for this article on the Journal blog.
Location: Germany
Location: Italy
No related grants have been discovered for Anne Hormes.