Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Cenlin He"'
Autor:
Harsh G. Kamath, Manmeet Singh, Neetiraj Malviya, Alberto Martilli, Liu He, Daniel Aliaga, Cenlin He, Fei Chen, Lori A. Magruder, Zong-Liang Yang, Dev Niyogi
Publikováno v:
Scientific Data, Vol 11, Iss 1, Pp 1-15 (2024)
Abstract We introduce University of Texas - GLObal Building heights for Urban Studies (UT-GLOBUS), a dataset providing building heights and urban canopy parameters (UCPs) for more than 1200 city or locales worldwide. UT-GLOBUS combines open-source sp
Externí odkaz:
https://doaj.org/article/7df6f5e973cc40968ae05eef6162381a
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract The accuracy of snow density in land surface model (LSM) simulations impacts the accuracy of simulated terrestrial water and energy budgets. However, there has been little research that has focused on enhancing snow compaction in operational
Externí odkaz:
https://doaj.org/article/11aaa8484f2844fabdccb70f4377b169
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 16, Iss 2, Pp n/a-n/a (2024)
Abstract We enhance the Community Land Model (CLM) snow albedo modeling by implementing several new features with more realistic and physical representations of snow‐aerosol‐radiation interactions. Specifically, we incorporate the following model
Externí odkaz:
https://doaj.org/article/ebab690fbd24452b99999f6fd7a318f0
Autor:
Chaoliu Li, Fangping Yan, Shichang Kang, Caiqing Yan, Zhaofu Hu, Pengfei Chen, Shaopeng Gao, Chao Zhang, Cenlin He, Susan Kaspari, Aron Stubbins
Publikováno v:
Environment International, Vol 179, Iss , Pp 108133- (2023)
Externí odkaz:
https://doaj.org/article/1dd8998564da47f8b7d4452d109274bd
Publikováno v:
Environmental Research Letters, Vol 19, Iss 4, p 044028 (2024)
Fires in the wildland-urban interface (WUI) are an important issue globally. To understand the change of WUI, we develop a 9 km worldwide unified wildland-urban interface database for 2001–2020 with Random Forest models and satellite data. We find
Externí odkaz:
https://doaj.org/article/40573a8b91264683896934a8dd70cdac
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5069 (2023)
The past decade has witnessed remarkable economic development, marked by rapid industrialization and urbanization across Asian regions. This surge in economic activity has led to significant emissions, resulting in alarming levels of air pollution. O
Externí odkaz:
https://doaj.org/article/8fdf4d3cee4e4752b53d624e85ec7a73
Publikováno v:
Geophysical Research Letters, Vol 49, Iss 18, Pp n/a-n/a (2022)
Abstract While meteorology and aerosols are identified as key drivers of snow cover (SC) variability in High Mountain Asia, complex non‐linear interactions between them are not adequately quantified. Here, we attempt to unravel these interactions t
Externí odkaz:
https://doaj.org/article/16001052772b47a78175b6b597f046e3
Publikováno v:
Atmosphere, Vol 14, Iss 7, p 1122 (2023)
The representation of aerosols in climate–chemistry models is important for air quality and climate change research, but it can require significant computational resources. The objective of this study was to improve the representation of aerosols i
Externí odkaz:
https://doaj.org/article/5de40d3887484d658b533d2ac384a049
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 14, Iss 1, Pp n/a-n/a (2022)
Abstract Accurate snow albedo simulation is a prerequisite for climate models to produce reliable climate prediction. Climate models would benefit from schemes of snowpack radiative transfer that are responsive to changing atmospheric conditions. How
Externí odkaz:
https://doaj.org/article/e61966e271b2438994fc008c1ba25c41
Publikováno v:
Journal of Advances in Modeling Earth Systems, Vol 13, Iss 11, Pp n/a-n/a (2021)
Abstract The Noah‐MP land surface model (LSM) relies on the Monin‐Obukhov (M‐O) Similarity Theory (MOST) to calculate land‐atmosphere exchanges of water, energy, and momentum fluxes. However, MOST flux‐profile relationships neglect canopy
Externí odkaz:
https://doaj.org/article/8a1f75a19061414c82f356272f4f9ea6