266   Artículos

 
en línea
Fei Wang, Zongmin Wang, Haibo Yang, Yong Zhao, Zezhong Zhang, Zhenhong Li and Zafar Hussain    
Drought is a complex natural phenomenon that occurs throughout the world. Analyzing and grasping the occurrence and development of drought events is of great practical significance for preventing drought disasters. In this study, the Standardized Precipi... ver más
Revista: Water    Formato: Electrónico

 
en línea
Andrea Momblanch, Ian P. Holman and Sanjay K. Jain    
Global change is expected to have a strong impact in the Himalayan region. The climatic and orographic conditions result in unique modelling challenges and requirements. This paper critically appraises recent hydrological modelling applications in Himala... ver más
Revista: Water    Formato: Electrónico

 
en línea
Reza Morovati and Ozgur Kisi    
Revista: Hydrology    Formato: Electrónico

 
en línea
Kevin S. Sambieni, Fabien C. C. Hountondji, Luc O. Sintondji, Nicola Fohrer, Séverin Biaou and Coffi Leonce Geoffroy Sossa    
Climate and land cover changes are key factors in river basins? management. This study investigates on the one hand 60-year (1960 to 2019) rainfall and temperature variability using station data combined with gridded data, and on the other hand land cove... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Zhi-Weng Chua, Yuriy Kuleshov and Jessica Bhardwaj    
Most existing drought forecast systems rely only on observed or forecast rainfall, losing valuable context gained from considering both. The lack of a direct link between observed and forecast rainfall reduces the physical consistency of a system, motiva... ver más
Revista: Climate    Formato: Electrónico

 
en línea
Zekun Xu, Yu Wang, Guihou Sun, Yuehong Chen, Qiang Ma and Xiaoxiang Zhang    
Gridded gross domestic product (GDP) data are a crucial land surface parameter for many geoscience applications. Recently, machine learning approaches have become powerful tools in generating gridded GDP data. However, most machine learning approaches fo... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yan Jin, Yong Ge, Haoyu Fan, Zeshuo Li, Yaojie Liu and Yan Jia    
Accurate spatial distribution of gridded gross domestic product (GDP) data is crucial for revealing regional disparities within administrative units, thus facilitating a deeper understanding of regional economic dynamics, industrial distribution, and urb... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Marina Georgati, Henning Sten Hansen and Carsten Keßler    
Population growth in urban centres and the intensification of segregation phenomena associated with international mobility require improved urban planning and decision-making. More effective planning in turn requires better analysis and geospatial modell... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Nutchanart Sriwongsitanon, Chanphit Kaprom, Kamonpat Tantisuvanichkul, Nattakorn Prasertthonggorn, Watchara Suiadee, Wim G. M. Bastiaanssen and James Alexander Williams    
Precise estimation of the spatial and temporal characteristics of rainfall is essential for producing the reliable catchment response needed for proper management of water resources. However, in most parts of the world, gauged rainfall stations are spars... ver más
Revista: Hydrology    Formato: Electrónico

 
en línea
Ridouane Kessabi, Mohamed Hanchane, Tommaso Caloiero, Gaetano Pellicone, Rachid Addou and Nir Y. Krakauer    
The aim of this paper was to present a precipitation trend analysis using gridded data at annual, seasonal and monthly time scales over the Fez-Meknes region (northern Morocco) for the period 1961?2019. Our results showed a general decreasing trend at an... ver más
Revista: Hydrology    Formato: Electrónico

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