Investigating the feasibility of using satellite rainfall for the integrated prediction of flood and landslide hazards over Shaanxi Province in northwest China
Rainfall-triggered flood and landslide hazards pose significant threats to human lives and
infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall …
infrastructure worldwide. This study aims to evaluate the applicability of three satellite rainfall …
[HTML][HTML] Impact of alternative soil data sources on the uncertainties in simulated land-atmosphere interactions
Numerical weather-and climate prediction models rely on soil data to accurately model land
surface processes. However, as soil data are produced using soil profiles and maps with …
surface processes. However, as soil data are produced using soil profiles and maps with …
[HTML][HTML] Moving towards a comprehensive evaluation of ecosystem-based disaster risk reduction: The example of agroforestry for flood risk reduction
S Janzen, J Balzer, F Merk, C Eberle, A Chabi… - Nature-Based …, 2024 - Elsevier
Nature-based solutions (NbS) have received increased interest as cost-effective contributors
to addressing societal challenges, with ecosystem-based disaster risk reduction (Eco-DRR) …
to addressing societal challenges, with ecosystem-based disaster risk reduction (Eco-DRR) …
[HTML][HTML] A Method Based on Deep Learning for Severe Convective Weather Forecast: CNN-BiLSTM-AM (Version 1.0)
J Zhang, M Yin, P Wang, Z Gao - Atmosphere, 2024 - mdpi.com
In this study, we propose a model called CNN-BiLSTM-AM that utilizes deep learning
techniques to forecast severe convective weather based on ERA5 hourly data and …
techniques to forecast severe convective weather based on ERA5 hourly data and …
[HTML][HTML] Sensitivity of joint atmospheric-terrestrial water balance simulations to soil representation: Convection-permitting coupled WRF-Hydro simulations for southern …
Regional weather and climate models play a crucial role in understanding and representing
the regional water cycle, yet the accuracy of soil data significantly affects their reliability. In …
the regional water cycle, yet the accuracy of soil data significantly affects their reliability. In …
Urbanization enhances channel and surface runoff: A quantitative analysis using both physical and empirical models over the Yangtze River basin
Urbanization has become an irreversible trend and is even more rapid in flood-prone area.
However, the responses of both channel runoff and surface runoff to the urbanization and …
However, the responses of both channel runoff and surface runoff to the urbanization and …
Identifying and assessing pond best management practice under future climate scenarios
D Nepal, P Parajuli - Journal of Environmental Management, 2024 - Elsevier
Climate change can play important roles in the hydrological processes within watershed
with ponds as the Best Management Practice (BMP). Unlike several other studies, this study …
with ponds as the Best Management Practice (BMP). Unlike several other studies, this study …
Process‐based atmosphere‐hydrology‐malaria modeling: Performance for spatio‐temporal malaria transmission dynamics in Sub‐Saharan Africa
With the goal of eradication by 2030, Malaria poses a significant health threat, profoundly
influenced by meteorological and hydrological conditions. In support of malaria vector …
influenced by meteorological and hydrological conditions. In support of malaria vector …
Potential contribution of land cover change on flood events in the Senegal River basin
The increase in flood events observed in West African countries, and often in specific river
basins, can be influenced by several factors, including anthropogenic land use and land …
basins, can be influenced by several factors, including anthropogenic land use and land …
WRF-Hydro 大气-陆面-水文耦合模式应用研究综述.
李振洁， 孟宪红， 舒乐乐， 赵林， 李照国… - Plateau …, 2024 - search.ebscohost.com
在人类活动加重气候变暖的背景下, 极端水文气象事件发生概率增加. 数值模式作为研究水循环
和极端水文事件的有效工具, 已在全球范围内得到广泛应用. 为深入理解气候变化背景下全球 …
和极端水文事件的有效工具, 已在全球范围内得到广泛应用. 为深入理解气候变化背景下全球 …