Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models

E-ISSN： 2169-8961|2169-8953|10|2018-2031

ISSN： 2169-8953

Source： JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol.2169-8953, Iss.10, 2014-10, pp. : 2018-2031

Disclaimer: Any content in publications that violate the sovereignty, the constitution or regulations of the PRC is not accepted or approved by CNPIEC.

Previous Menu Next

Abstract

Related content

Inferring methane fluxes at a larch forest using Lagrangian, Eulerian, and hybrid inverse models

JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol. 119, Iss. 10, 2014-10 ,pp. : 2018-2031

John Wiley & Sons Inc

Access to resources Recommend Favorite

Topography Controls the Abundance of Siberian Larch Forest

JOURNAL OF GEOPHYSICAL RESEARCH: BIOGEOSCIENCES, Vol. 123, Iss. 1, 2018-01 ,pp. : 106-116

John Wiley & Sons Inc

Access to resources Recommend Favorite

Top‐down estimate of methane emissions in California using a mesoscale inverse modeling technique: The South Coast Air Basin

JOURNAL OF GEOPHYSICAL RESEARCH: ATMOSPHERES, Vol. 120, Iss. 13, 2015-07 ,pp. : 6698-6711

John Wiley & Sons Inc

Access to resources Recommend Favorite

Lagrangian models of dispersion in marine environment

By Monti Paolo

Environmental Fluid Mechanics, Vol. 10, Iss. 6, 2010-12 ,pp. : 637-656

Springer Publishing Company

Access to resources Recommend Favorite

A locally conservative Eulerian–Lagrangian numerical method and its application to nonlinear transport in porous media

By Douglas Jim Pereira Felipe Yeh Li-Ming

Computational Geosciences, Vol. 4, Iss. 1, 2000-05 ,pp. : 1-40

Springer Publishing Company

Access to resources Recommend Favorite