Zobrazeno 1 - 10
of 64
pro vyhledávání: '"G. Formetta"'
Autor:
S. Azimi, C. Massari, G. Formetta, S. Barbetta, A. Tazioli, D. Fronzi, S. Modanesi, A. Tarpanelli, R. Rigon
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 4485-4503 (2023)
The study aims to demonstrate that an effective solution can be implemented for modeling complex carbonate basins, in the situation of limited data availability. Considering the alternative modeling approaches under circumstances of data shortage is
Externí odkaz:
https://doaj.org/article/23b53bb615e541b2be8feb0429cd17fa
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 23, Pp 2593-2606 (2023)
Heat waves (HWs) and cold waves (CWs) can have considerable impact on people. Mapping risks of extreme temperature at local scale, accounting for the interactions between hazard, exposure, and vulnerability, remains a challenging task. In this study,
Externí odkaz:
https://doaj.org/article/ec5422f62f80472bbdaf485ca753fcd9
Publikováno v:
Hydrology and Earth System Sciences, Vol 27, Pp 1133-1149 (2023)
Estimating future short-duration extreme precipitation in mountainous regions is fundamental for risk management. High-resolution convection-permitting models (CPMs) represent the state of the art for these projections, as they resolve convective pro
Externí odkaz:
https://doaj.org/article/850291203e6e4aacb6efaface3876c5a
Publikováno v:
Hydrology and Earth System Sciences, Vol 26, Pp 4773-4800 (2022)
The “Digital Earth” (DE) metaphor is very useful for both end users and hydrological modelers (i.e., the coders). In this opinion paper, we analyze different categories of models with the view of making them part of Digital eARth Twin Hydrology s
Externí odkaz:
https://doaj.org/article/b2569e5b4a324aa2981bb172ebecea18
Autor:
B. Hankin, I. Hewitt, G. Sander, F. Danieli, G. Formetta, A. Kamilova, A. Kretzschmar, K. Kiradjiev, C. Wong, S. Pegler, R. Lamb
Publikováno v:
Natural Hazards and Earth System Sciences, Vol 20, Pp 2567-2584 (2020)
We develop a network-based model of a catchment basin that incorporates the possibility of small-scale, in-channel, leaky barriers as flood attenuation features, on each of the edges of the network. The model can be used to understand effective risk
Externí odkaz:
https://doaj.org/article/c62ba3c79bc9498584401c47dbd11c7b
Publikováno v:
Hydrology and Earth System Sciences, Vol 22, Pp 5387-5401 (2018)
In an increasing hydro-climatic risk context as a result of climate change, this work aims to identify future hydro-hazard hot-spots as a result of climate change across Great Britain. First, flood and drought hazards were defined and selected in
Externí odkaz:
https://doaj.org/article/2f9e59065fd347d3a29f2c946f4a9887
Publikováno v:
Geoscientific Model Development, Vol 11, Pp 2189-2207 (2018)
This work presents a software package for the interpolation of climatological variables, such as temperature and precipitation, using kriging techniques. The purposes of the paper are (1) to present a geostatistical software that is easy to use an
Externí odkaz:
https://doaj.org/article/8770be3980de4240af6f8e2c1f9ff35d
Publikováno v:
Hydrology and Earth System Sciences, Vol 21, Pp 3145-3165 (2017)
The Upper Blue Nile basin is one of the most data-scarce regions in developing countries, and hence the hydrological information required for informed decision making in water resource management is limited. The hydrological complexity of the basin
Externí odkaz:
https://doaj.org/article/affd4ccbb1a24cf989d5b0e6a8a2e177
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Pp 4585-4603 (2016)
Rainfall-induced shallow landslides can lead to loss of life and significant damage to private and public properties, transportation systems, etc. Predicting locations that might be susceptible to shallow landslides is a complex task and involves
Externí odkaz:
https://doaj.org/article/4f389fcff54f4442a017ada335fd2764
Publikováno v:
Hydrology and Earth System Sciences, Vol 20, Pp 4641-4654 (2016)
In this work 10 algorithms for estimating downwelling longwave atmospheric radiation (L↓) and 1 for upwelling longwave radiation (L↑) are integrated into the JGrass-NewAge modelling system. The algorithms are tested against energy flux measurem
Externí odkaz:
https://doaj.org/article/a00a6d54c02d47f79f9a72c022dca199