Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Lindsey E. Gulden"'
Autor:
Enrique Rosero, Yasir H. Kaheil, Luis Gustavo Gonçalves de Gonçalves, Guo Yue Niu, Lindsey E. Gulden, Zong-Liang Yang
Publikováno v:
Journal of Hydrometeorology. 12:45-64
The ability of two versions of the Noah land surface model (LSM) to simulate the water cycle of the Little Washita River experimental watershed is evaluated. One version that uses the standard hydrological parameterizations of Noah 2.7 (STD) is compa
Publikováno v:
Journal of Hydrometeorology. 10:600-622
The authors introduce and compare the performance of the unified Noah land surface model (LSM) and its augments with physically based, more conceptually realistic hydrologic parameterizations. Forty-five days of 30-min data collected over nine sites
Publikováno v:
Atmospheric Environment. 42:4185-4197
We evaluate the sensitivity of biogenic emissions simulated by a land-surface model (LSM) to different representations of land-cover vegetation. We drive the community land model on a 0.1° grid over Texas, USA, from 1993 to 1998 using bilinearly int
Autor:
Zong-Liang Yang, Lindsey E. Gulden
Publikováno v:
Atmospheric Environment. 40:1464-1479
This paper introduces a method to incorporate species-based variation of the emission of biogenic volatile organic compounds (BVOCs) into regional climate and weather models. We convert a species-based land-cover database for Texas into a database co
Autor:
Hans Verbeeck, David W. Galbraith, Gonzalo Miguez-Macho, Humberto Ribeiro da Rocha, Ben Poulter, Zong-Liang Yang, Ian Baker, Scott R. Saleska, Mingjie Shi, Lindsey E. Gulden, Bart Kruijt, Natalia Restrepo-Coupe, Xubin Zeng, Bart van den Hurk, Naomi M. Levine, Bradley O. Christoffersen, Kazuhito Ichii, Phillippe Ciais, Luis Gustavo Gonçalves de Gonçalves, A. K. Sahoo, Xiaodan Guan, Bruno Paraluppi Cestaro, Joshua B. Fisher, Atul K. Jain, Alessandro Araújo, Jordan Borak, Michel Nobre Muza, Koichi Sakaguchi, Hewlley Maria Acioli Imbuzeiro, Débora Regina Roberti, Kevin Schaefer, M. Altaf Arain, Antonio O. Manzi, Celso von Randow, Marcos Heil Costa
Publikováno v:
Repositório Institucional da USP (Biblioteca Digital da Produção Intelectual)
Universidade de São Paulo (USP)
instacron:USP
Agricultural and Forest Meteorology 191 (2014)
Agricultural and Forest Meteorology
Agricultural and Forest Meteorology, 2014, 191, pp.33-50. ⟨10.1016/j.agrformet.2014.02.008⟩
Agricultural and Forest Meteorology, 191, 33-50
Universidade de São Paulo (USP)
instacron:USP
Agricultural and Forest Meteorology 191 (2014)
Agricultural and Forest Meteorology
Agricultural and Forest Meteorology, 2014, 191, pp.33-50. ⟨10.1016/j.agrformet.2014.02.008⟩
Agricultural and Forest Meteorology, 191, 33-50
Evapotranspiration (E) in the Amazon connects forest function and regional climate via its role in precipitation recycling However, the mechanisms regulating water supply to vegetation and its demand for water remain poorly understood, especially dur
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1bb3dda261e672ea7855c335a48378f0
Autor:
Soni Yatheendradas, Lindsey E. Gulden, Thorsten Wagener, Guo Yue Niu, Enrique Rosero, Zong-Liang Yang
Publikováno v:
Journal of Geophysical Research. 115
[1] We use sensitivity analysis to identify the parameters that are most responsible for controlling land surface model (LSM) simulations and to understand complex parameter interactions in three versions of the Noah LSM: the standard version (STD),
Publikováno v:
Geophysical Research Letters. 35
[1] We introduce three metrics for rigorous evaluation of land-surface models (LSMs). This framework explicitly acknowledges perennial sources of uncertainty in LSM output. The model performance score (ζ) quantifies the likelihood that a representat
Publikováno v:
Journal of Geophysical Research. 112
[1] Interannual variation in biogenic emissions is not well quantified, especially on regional scales. We use a land surface model augmented with a short-term dynamic phenology scheme to estimate the interannual variation in the emission of biogenic
Autor:
Guo Yue Niu, Zong-Liang Yang, James S. Famiglietti, Pat J.-F. Yeh, Lindsey E. Gulden, Charles S. Jackson, Matthew Rodell, Enrique Rosero
Publikováno v:
Geophysical Research Letters. 34
Land surface models (LSMs) are computer programs, similar to weather and climate prediction models, which simulate the storage and movement of water (including soil moisture, snow, evaporation, and runoff) after it falls to the ground as precipitatio
Publikováno v:
Journal of Geophysical Research. 110
[1] This paper develops a simple TOPMODEL-based runoff parameterization (hereinafter SIMTOP) for use in global climate models (GCMs) that improves the runoff production and the partitioning of runoff between surface and subsurface components. SIMTOP