|
|
|
|
|
Sabrina De Nardi, Claudio Carnevale, Sara Raccagni and Lucia Sangiorgi
Models are a core element in performing local estimation of the climate change input. In this work, a novel approach to perform a fast downscaling of global temperature anomalies on a regional level is presented. The approach is based on a set of data-dr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Juan Camilo Gómez Zapata, Raquel Zafrir, Massimiliano Pittore and Yvonne Merino
Efforts have been made in the past to enhance building exposure models on a regional scale with increasing spatial resolutions by integrating different data sources. This work follows a similar path and focuses on the downscaling of the existing SARA exp...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hongyan Zhang, Shudong Wang, Kai Liu, Xueke Li, Zhengqiang Li, Xiaoyuan Zhang and Bingxuan Liu
Satellite retrieval can offer global soil moisture information, such as Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E) data. AMSR-E has been used to provide soil moisture all over the world, with a coarse resolution of 25 km × 25 ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Soroush Zarghami Dastjerdi, Ehsan Sharifi, Rozita Rahbar and Bahram Saghafian
Climate change, urbanization, and a growing population have led to a rapid increase in groundwater (GW) use. As a result, monitoring groundwater changes is essential for water managers and decision-makers. Due to the lack of reliable and insufficient in ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Gabriele Accarino, Marco Chiarelli, Francesco Immorlano, Valeria Aloisi, Andrea Gatto and Giovanni Aloisio
One of the most important open challenges in climate science is downscaling. It is a procedure that allows making predictions at local scales, starting from climatic field information available at large scale. Recent advances in deep learning provide new...
ver más
|
|
|
|
|
|
|
|
|
|
|
Hanna Svennevik, Michael A. Riegler, Steven Hicks, Trude Storelvmo and Hugo L. Hammer
Climate change is stated as one of the largest issues of our time, resulting in many unwanted effects on life on earth. Cloud fractional cover (CFC), the portion of the sky covered by clouds, might affect global warming and different other aspects of hum...
ver más
|
|
|
|
|
|
|
|
|
|
|
Javier López Gómez, Francisco Troncoso Pastoriza, Enrique Granada Álvarez and Pablo Eguía Oller
Mapping of meteorological conditions surrounding road infrastructures is a critical tool to identify high-risk spots related to harsh weather. However, local or regional data are not always available, and researchers and authorities must rely on coarser ...
ver más
|
|
|
|
|
|
|
|
|
|
|
Marilu Meza-Ruiz and Alfonso Gutierrez-Lopez
Currently, it is possible to access a large amount of satellite weather information from monitoring and forecasting severe storms. However, there are no methods of employing satellite images that can improve real-time early warning systems in different r...
ver más
|
|
|
|
|
|
|
|
|
|
|
Peng Liu, Xiaobin Qiu, Yi Yang, Yuanyuan Ma and Shuanglong Jin
This study aims to assess the performance of different dynamical downscaling methods using updated land surface information. Particular attention is given to obtaining high-resolution climate information over China by the combination of an appropriate dy...
ver más
|
|
|
|
|
|
|
|
|
|
|
Ziqiang Ma, Xiao Tan, Yuan Yang, Xi Chen, Guangyuan Kan, Xiang Ji, Hanyu Lu, Jian Long, Yaokui Cui and Yang Hong
Rainfall information is a prerequisite to and plays a vital role in driving hydrological models. However, limited by the observation methods, the obtained precipitation data, at present, are still too coarse. In this study, a new downscaling method was p...
ver más
|
|
|
|
|
|