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首页> 外文期刊>Biogeosciences Discussions >Present state of global wetland extent and wetland methane modelling: conclusions from a model inter-comparison project (WETCHIMP)
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Present state of global wetland extent and wetland methane modelling: conclusions from a model inter-comparison project (WETCHIMP)

机译:全球湿地范围和湿地甲烷模拟的现状:模型比较项目(WETCHIMP)的结论

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pstrongAbstract./strong Global wetlands are believed to be climate sensitive, and are the largest natural emitters of methane (CHsub4/sub). Increased wetland CHsub4/sub emissions could act as a positive feedback to future warming. The Wetland and Wetland CHsub4/sub Inter-comparison of Models Project (WETCHIMP) investigated our present ability to simulate large-scale wetland characteristics and corresponding CHsub4/sub emissions. To ensure inter-comparability, we used a common experimental protocol driving all models with the same climate and carbon dioxide (COsub2/sub) forcing datasets. The WETCHIMP experiments were conducted for model equilibrium states as well as transient simulations covering the last century. Sensitivity experiments investigated model response to changes in selected forcing inputs (precipitation, temperature, and atmospheric COsub2/sub concentration). Ten models participated, covering the spectrum from simple to relatively complex, including models tailored either for regional or global simulations. The models also varied in methods to calculate wetland size and location, with some models simulating wetland area prognostically, while other models relied on remotely sensed inundation datasets, or an approach intermediate between the two. brbr Four major conclusions emerged from the project. First, the suite of models demonstrate extensive disagreement in their simulations of wetland areal extent and CHsub4/sub emissions, in both space and time. Simple metrics of wetland area, such as the latitudinal gradient, show large variability, principally between models that use inundation dataset information and those that independently determine wetland area. Agreement between the models improves for zonally summed CHsub4/sub emissions, but large variation between the models remains. For annual global CHsub4/sub emissions, the models vary by ?±40% of the all-model mean (190 Tg CHsub4/sub yrsupa??1/sup). Second, all models show a strong positive response to increased atmospheric COsub2/sub concentrations (857 ppm) in both CHsub4/sub emissions and wetland area. In response to increasing global temperatures (+3.4 ?°C globally spatially uniform), on average, the models decreased wetland area and CHsub4/sub fluxes, primarily in the tropics, but the magnitude and sign of the response varied greatly. Models were least sensitive to increased global precipitation (+3.9 % globally spatially uniform) with a consistent small positive response in CHsub4/sub fluxes and wetland area. Results from the 20th century transient simulation show that interactions between climate forcings could have strong non-linear effects. Third, we presently do not have sufficient wetland methane observation datasets adequate to evaluate model fluxes at a spatial scale comparable to model grid cells (commonly 0.5?°). This limitation severely restricts our ability to model global wetland CHsub4/sub emissions with confidence. Our simulated wetland extents are also difficult to evaluate due to extensive disagreements between wetland mapping and remotely sensed inundation datasets. Fourth, the large range in predicted CHsub4/sub emission rates leads to the conclusion that there is both substantial parameter and structural uncertainty in large-scale CHsub4/sub emission models, even after uncertainties in wetland areas are accounted for./p.
机译:> >摘要。全球湿地被认为对气候敏感,是甲烷的最大自然排放者(CH 4 )。湿地CH 4 排放增加可能是对未来变暖的积极反馈。湿地和湿地CH 4 模型间比较(WETCHIMP)研究了我们目前模拟大型湿地特征和相应的CH 4 排放的能力。为了确保可比性,我们使用了通用实验协议来驱动所有具有相同气候和二氧化碳(CO 2 )强制数据集的模型。 WETCHIMP实验是针对模型平衡状态以及涵盖上个世纪的瞬态模拟进行的。敏感性实验研究了模型对选定强迫输入(降水,温度和大气中CO 2 浓度)变化的响应。参加了十个模型,涵盖了从简单到相对复杂的范围,包括为区域或全球模拟量身定制的模型。这些模型的计算湿地面积和位置的方法也各不相同,有些模型可预测湿地面积,而其他模型则依赖于遥感淹没数据集,或两者之间的中间方法。 该项目得出了四个主要结论。首先,这套模型在空间和时间上模拟湿地面积和CH 4 排放方面表现出广泛的分歧。湿地面积的简单度量(例如纬度梯度)显示出较大的变异性,主要是在使用淹没数据集信息的模型与独立确定湿地面积的模型之间。模型之间的一致性提高了CH 4 区域总和排放量,但模型之间仍然存在较大差异。对于全球每年的CH 4 排放,这些模型的变化幅度为全部模型平均值(190 Tg CH 4 yr a ?? 1 )。其次,所有模型都显示出对CH 4 排放和湿地面积中大气CO 2 浓度(857 ppm)增加的强烈正响应。为了响应不断升高的全球温度(全球整体上均匀升高+3.4°C),这些模型减少了湿地面积和CH 4 通量,主要是在热带地区,但是响应的幅度和标志是变化很大。模型对全球降水增加(全球空间均匀度增加3.9%)最不敏感,并且对CH 4 通量和湿地面积的响应较小。 20世纪瞬态模拟的结果表明,气候强迫之间的相互作用可能具有很强的非线性效应。第三,我们目前没有足够的湿地甲烷观测数据集,足以在与模型网格单元(通常为0.5?°)相当的空间尺度上评估模型通量。此限制严重限制了我们对全球湿地CH 4 排放量进行建模的能力。由于湿地测绘与遥感淹没数据集之间存在广泛分歧,我们的模拟湿地范围也难以评估。第四,预测的CH 4 排放速率范围较大,得出的结论是,即使不确定后,大规模的CH 4 排放模型也存在实质性参数和结构不确定性占湿地面积。

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