Cargando…
A new global gridded anthropogenic heat flux dataset with high spatial resolution and long-term time series
Exploring global anthropogenic heat and its effects on climate change is necessary and meaningful to gain a better understanding of human–environment interactions caused by growing energy consumption. However, the variation in regional energy consumption and limited data availability make estimating...
Autores principales: | Jin, Kai, Wang, Fei, Chen, Deliang, Liu, Huanhuan, Ding, Wenbin, Shi, Shangyu |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6668394/ https://www.ncbi.nlm.nih.gov/pubmed/31366934 http://dx.doi.org/10.1038/s41597-019-0143-1 |
Ejemplares similares
-
Global 1-km present and future hourly anthropogenic heat flux
por: Varquez, Alvin Christopher Galang, et al.
Publicado: (2021) -
A high spatial resolution dataset for anthropogenic atmospheric mercury emissions in China during 1998–2014
por: Chang, Weicen, et al.
Publicado: (2022) -
A new global anthropogenic heat estimation based on high-resolution nighttime light data
por: Yang, Wangming, et al.
Publicado: (2017) -
A high spatial resolution land surface phenology dataset for AmeriFlux and NEON sites
por: Moon, Minkyu, et al.
Publicado: (2022) -
A high-resolution daily gridded meteorological dataset for Serbia made by Random Forest Spatial Interpolation
por: Sekulić, Aleksandar, et al.
Publicado: (2021)