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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...
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Georgia Papacharalampous, Hristos Tyralis, Anastasios Doulamis and Nikolaos Doulamis
Merging satellite products and ground-based measurements is often required for obtaining precipitation datasets that simultaneously cover large regions with high density and are more accurate than pure satellite precipitation products. Machine and statis...
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Charalampos Skoulikaris, Panagiota Venetsanou, Georgia Lazoglou, Christina Anagnostopoulou and Konstantinos Voudouris
Triggering hydrological simulations with climate change gridded datasets is one of the prevailing approaches in climate change impact assessment at a river basin scale, with bias correction and spatio-temporal interpolation being functions routinely used...
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Monika Kuffer, Maxwell Owusu, Lorraine Oliveira, Richard Sliuzas and Frank van Rijn
Gridded population datasets model the population at a relatively high spatial and temporal granularity by reallocating official population data from irregular administrative units to regular grids (e.g., 1 km grid cells). Such population data are vital f...
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Cláudia Adriana Bueno da Fonseca, Nadhir Al-Ansari, Richarde Marques da Silva, Celso Augusto Guimarães Santos, Bilel Zerouali, Daniel Bezerra de Oliveira and Ahmed Elbeltagi
Climate variability, land use and land cover changes (LULCC) have a considerable impact on runoff?erosion processes. This study analyzed the relationships between climate variability and spatiotemporal LULCC on runoff?erosion processes in different scena...
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Chunling Zhang, Danyang Wang, Zenghong Liu, Shaolei Lu, Chaohui Sun, Yongliang Wei and Mingxing Zhang
The international Argo Program was launched at the turn of the millennium. It has since collected over 2 million vertical profiles of temperature and salinity from the upper 2000 m of the global ocean. Gridded interpolation is a technology that gives ful...
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Vahid Nasiri, Seyed Mohammad Moein Sadeghi, Fardin Moradi, Samaneh Afshari, Azade Deljouei, Verena C. Griess, Carmen Maftei and Stelian Alexandru Borz
Forest canopy cover (FCC) is one of the most important forest inventory parameters and plays a critical role in evaluating forest functions. This study examines the potential of integrating Sentinel-1 (S-1) and Sentinel-2 (S-2) data to map FCC in the het...
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Neeraj K. Maurya, Prem Chandra Pandey, Subhadip Sarkar, Rajesh Kumar and Prashant K. Srivastava
The problems of atmospheric pollutants are causing significant concern across the globe and in India. The aggravated level of atmospheric pollutants in the surrounding environment poses serious threats to normal living conditions by deteriorating air qua...
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Xu Yin, Peng Li, Zhiming Feng, Yanzhao Yang, Zhen You and Chiwei Xiao
The release of global gridded population datasets, including the Gridded Population of the World (GPW), Global Human Settlement Population Grid (GHS-POP), WorldPop, and LandScan, have greatly facilitated cross-comparison for ongoing research related to a...
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Georgy Ayzel, Liubov Kurochkina, Dmitriy Abramov and Sergei Zhuravlev
Gridded datasets provide spatially and temporally consistent runoff estimates that serve as reliable sources for assessing water resources from regional to global scales. This study presents LSTM-REG, a regional gridded runoff dataset for northwest Russi...
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