DOI: 10.1002/2013GB004665
Scopus记录号: 2-s2.0-84895915124
论文题名: Evaluating soil biogeochemistry parameterizations in Earth system models with observations
作者: Wieder W ; R ; , Boehnert J ; , Bonan G ; B
刊名: Global Biogeochemical Cycles
ISSN: 8866236
出版年: 2014
卷: 28, 期: 3 起始页码: 211
结束页码: 222
语种: 英语
英文关键词: carbon-climate feedback
; Community Land Model
; Earth system model
; model benchmark
; soil biogeochemistry
; soil organic matter
Scopus关键词: Biogeochemistry
; Carbon
; Climate models
; Computer simulation
; Earth (planet)
; Lakes
; Parameterization
; Soils
; Approximate equilibriums
; Community land models
; Earth system model
; Model configuration
; Soil biogeochemistry
; Soil organic matters
; Spatial correlations
; Transient simulation
; C (programming language)
; benchmarking
; biogeochemistry
; carbon cycle
; data set
; ecological modeling
; litterfall
; parameterization
; soil carbon
; soil organic matter
; steady-state equilibrium
英文摘要: Soils contain large reservoirs of terrestrial carbon (C), yet soil C dynamics simulated in Earth systems models show little agreement with each other or with observational data sets. This uncertainty underscores the need to develop a framework to more thoroughly evaluate model parameterizations, structures, and projections. Toward this end we used an analytical solution to calculate approximate equilibrium soil C pools for the Community Land Model version 4 (CLM4cn) and Daily Century (DAYCENT) soil biogeochemistry models. Neither model generated sufficient soil C pools when forced with litterfall inputs from CLM4cn; however, global totals and spatial correlations of soil C pools for both models improved when calculated with litterfall inputs derived from observational data. DAYCENT required additional modifications to simulate soil C pools in deeper soils (0-100 cm). Our best simulations produced global soil C pools totaling 746 and 978 Pg C for CLM4cn and DAYCENT parameterizations, respectively, compared to observational estimates of 1259 Pg C. In spite of their differences in complexity and equilibrium soil C pools, predictions of soil C losses with warming temperatures through 2100 were strikingly similar for both models. Ultimately, CLM4cn and DAYCENT come from the same class of models that represent the turnover of soil C as a first-order decay process. While this approach may have utility in calculating steady state soil C pools, the applicability of this model configuration in transient simulations remains poorly evaluated. ©2014. American Geophysical Union. All Rights Reserved. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/77481
Appears in Collections: 气候变化事实与影响
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作者单位: National Center for Atmospheric Research, Boulder, CO, United States
Recommended Citation:
Wieder W,R,, Boehnert J,et al. Evaluating soil biogeochemistry parameterizations in Earth system models with observations[J]. Global Biogeochemical Cycles,2014-01-01,28(3)