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Kingsley Nnaemeka Ogbu, Oldrich Rakovec, Pallav Kumar Shrestha, Luis Samaniego, Bernhard Tischbein and Hadush Meresa
Hydrologic modeling in Nigeria is plagued by non-existent or paucity of hydro-metrological/morphological records, which has detrimental impacts on sustainable water resource management and agricultural production. Nowadays, freely accessible remotely sen...
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Giuseppe Formetta, Glenn Tootle and Matthew Therrell
The Po River Basin (PRB) is Italy?s largest river system and provides a vital water supply source for varying demands, including agriculture, energy (hydropower), and water supply. The current (2022) drought has been associated with low winter?early spri...
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Paul Kiprotich, Xianhu Wei, Zongke Zhang, Thomas Ngigi, Fengting Qiu and Liuhao Wang
The Anthropocene period is characterised by a general demographic shift from rural communities to urban centres that transform the predominantly wild global landscape into mostly cultivated land and cities. In addition to climate change, there are increa...
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Dana R. Thomson, Andrea E. Gaughan, Forrest R. Stevens, Gregory Yetman, Peter Elias and Robert Chen
Low- and middle-income country cities face unprecedented urbanization and growth in slums. Gridded population data (e.g., ~100 × 100 m) derived from demographic and spatial data are a promising source of population estimates, but face limitations in slum...
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Ruxia Chen, Huimin Yan, Fang Liu, Wenpeng Du and Yanzhao Yang
Spatial data of regional populations are indispensable in studying the impact of human activities on resource utilization and the ecological environment. Because the differences between datasets and their spatial distribution are still unclear, this has ...
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Jun Liu, Donghui Shanguan, Shiyin Liu and Yongjian Ding
Multisource reanalysis datasets provide an effective way to help us understand hydrological processes in inland alpine regions with sparsely distributed weather stations. The accuracy and quality of two widely used datasets, the China Meteorological Assi...
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Ying Wang, Yi Yang, Dongxia Liu, Dongbin Zhang, Wen Yao and Chenghai Wang
Lightning network data, considered as a useful supplement to radar observations, are a good indicator of severe convection, and has high temporal and spatial resolution. In Numerical Weather Prediction (NWP) models, lightning data are a new source of dat...
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Zongming Wang, Zhaobo Sun and Gang Zeng
Strong cold air outbreak tracking has been a key meteorological focal point over the years. With observational data and gridded datasets, we used the ?three-dimensional wind speed trajectory inverse method? to trace cold air intrusion tracks that occurre...
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Jianming Liang, Kevin Robert Gurney, Darragh O?Keeffe, Maya Hutchins, Risa Patarasuk, Jianhua Huang, Yang Song and Preeti Rao
The ?Hestia Project? uses a bottom-up approach to quantify fossil fuel CO2 (FFCO2) emissions spatially at the building/street level and temporally at the hourly level. Hestia FFCO2 emissions are provided in the form of a group of sector-specific vector l...
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Mou Leong Tan, Philip W. Gassman, Arthur P. Cracknell
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Gridded climate products (GCPs) provide a potential source for representing weather in remote, poor quality or short-term observation regions. The accuracy of three long-term GCPs (Asian Precipitation?Highly-Resolved Observational Data Integration toward...
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