Journal ArticleDOI
Modeling the land surface boundary in climate models as a composite of independent vegetation stands
Randal D. Koster,Max J. Suarez +1 more
TLDR
In this article, an efficient strategy for modeling the land surface boundary in general circulation models (GCMs) is presented which accounts for the effects of vegetation on surface energy fluxes and allows for an arbitrary number of vegetation types to coexist in a grid square.Abstract:
An efficient strategy for modeling the land surface boundary in general circulation models (GCMs) is presented which accounts for the effects of vegetation on surface energy fluxes and allows for an arbitrary number of vegetation types to coexist in a grid square. The GCM grid square is depicted as a 'mosaic' of vegetation 'tiles', with each tile consisting of a single vegetation type. The energy balance equation for each tile follows closely that of a single vegetation version of the simple biosphere (SiB) model of Sellers et al. (1986) but is simplified enough to be written in Penman-Monteith form. Each tile in the square is coupled independently to the GCM atmosphere, and tiles affect each other only through the atmosphere. This coupling strategy differs conceptually from that of models such as SiB that assume a homogeneous mixture of vegetation types within a GCM grid square. A quantitative comparison of the two strategies is presented.read more
Citations
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Journal ArticleDOI
The Global Land Data Assimilation System
Mathew Rodell,Paul R. Houser,U. Jambor,Jon Gottschalck,Kenneth E. Mitchell,C. J. Meng,Kristi R. Arsenault,B. Cosgrove,J Radakovich,Michael G. Bosilovich,Jared Entin,Jeffrey P. Walker,Dag Lohmann,David Toll +13 more
TL;DR: The Global Land Data Assimilation System (GLDAS) as mentioned in this paper is an uncoupled land surface modeling system that drives multiple models, integrates a huge quantity of observation-based data, runs globally at high resolution (0.25°), and produces results in near-real time (typically within 48 h of the present).
Journal ArticleDOI
The community Noah land surface model with multiparameterization options (Noah-MP): 1. Model description and evaluation with local-scale measurements
Guo Yue Niu,Guo Yue Niu,Zong-Liang Yang,Kenneth E. Mitchell,Fei Chen,Michael Ek,Michael Barlage,Anil Kumar,Kevin W. Manning,Dev Niyogi,Enrique Rosero,Enrique Rosero,Mukul Tewari,Youlong Xia +13 more
TL;DR: In this paper, the authors describe the objectives of community efforts in improving the Noah land surface model (LSM), documents, through mathematical formulations, the augmented conceptual realism in biophysical and hydrological processes, and introduces a framework for multiple options to parameterize selected processes (Noah•MP).
Journal ArticleDOI
Modeling the Exchanges of Energy, Water, and Carbon Between Continents and the Atmosphere
Piers J. Sellers,Robert E. Dickinson,David A. Randall,Alan K. Betts,Forrest G. Hall,Joseph A. Berry,G. J. Collatz,A. S. Denning,Harold A. Mooney,Carlos A. Nobre,N. Sato,Christopher B. Field,Ann Henderson-Sellers +12 more
TL;DR: Modern schemes incorporate biogeochemical and ecological knowledge and, when coupled with advanced climate and ocean models, will be capable of modeling the biological and physical responses of the Earth system to global change, for example, increasing atmospheric carbon dioxide.
Journal ArticleDOI
The Common Land Model
Yongjiu Dai,Xubin Zeng,Robert E. Dickinson,Ian Baker,Gordon B. Bonan,Michael G. Bosilovich,A. Scott Denning,Paul A. Dirmeyer,Paul R. Houser,Guo Yue Niu,Keith W. Oleson,C. Adam Schlosser,Zong-Liang Yang +12 more
TL;DR: The Common Land Model (CLM) as mentioned in this paper was developed for community use by a grassroots collaboration of scientists who have an interest in making a general land model available for public use and further development.
Journal ArticleDOI
Narrowband to broadband conversions of land surface albedo I Algorithms
TL;DR: In this paper, the authors applied an approach that decouples surface reflectance spectra from the real-time radiative transfer simulations to calculate the total shortwave albedo, total-, direct-, and diffuse-visible, and near-infrared broadband albedos for several narrowband sensors.
References
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Journal ArticleDOI
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