High spatial and temporal resolution multi-source anthropogenic heat estimation for China

Author:

Qian Jiangkang,Zhang LinlinORCID,Schlink UweORCID,Meng Qingyan,Liu Xue,Janscó Tamás

Publisher

Elsevier BV

Reference72 articles.

1. Alhazmi, M., Sailor, D.J., Anand, J., 2022. A new perspective for understanding actual anthropogenic heat emissions from buildings. Energy Build. 258, 111860. 10.1016/j.enbuild.2022.111860.

2. Global to city scale urban anthropogenic heat flux: model and variability;Allen;Int. J. Climatol.,2011

3. Amy, McNally, NASA/GSFC/HSL, 2018. FLDAS Noah Land Surface Model L4 Global Monthly 0.1 x 0.1 degree (MERRA-2 and CHIRPS). Greenbelt, MD, USA, Goddard Earth Sciences Data and Information Services Center (GES DISC). 10.5067/5NHC22T9375G .

4. Impact of physics parameterizations on high-resolution weather prediction over two Chinese megacities;Barlage;J. Geophys. Res.-Atmos.,2016

5. Anthropogenic heat release: Estimation of global distribution and possible climate effect;Chen;J. Meteorol. Soc. Jpn.,2015

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