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作 者:ZHANG Qing LI Ting-Ting ZHANG Qiang WANG Guo-Cheng YU Li-Jun GUO Bin HAN Peng-Fei
机构地区:[1]LAPC,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,100029,China [2]Southern Marine Science and Engineering Guangdong Laboratory(Zhuhai),Zhuhai,519000,China [3]Beijing Climate Center,China Meteorological Administration,Beijing,100081,China [4]Heavy Rain and Drought-Flood Disasters in Plateau,and Basin Key Laboratory of Sichuan Province,Chengdu,610072,China [5]Aba Prefecture Meteorological Station,Maerkang,624000,China [6]LASG,Institute of Atmospheric Physics,Chinese Academy of Sciences,Beijing,100029,China
出 处:《Advances in Climate Change Research》2020年第1期52-59,共8页气候变化研究进展(英文版)
基 金:National Key Basic Research and Development Plan of China(2017YFC0503905);National Natural Science Foundation of China(91937301,41775159,41605088,and 31000234);the Science and Technology Department of Sichuan,China(2017ZR0281).
摘 要:Process-based models have been widely used to simulate the CH4 budget in natural wetlands,but there are still large uncenainties in ihe simulation processes.Accuracy analysis of process-based models is important to evaluate the reliability of model estimates for different wetlands.In this study,we analyzed the three sources of the model bias from a process-based model(CH4MODwetland)when simulating CH4 emissions from different wetland sites and types in China.On a national scale,the root-mean-square error(RMSE)decreased from 70.6% at daily scale to 27.1% at annual/seasonal scale.On a national scale,more than 90% of the model errors were from random error.At most of the sites random error contributed more than 60% to the model errors,except the Guangzhou,Haikou,Wuliangsu lake and Yancheng Estuary sites,which showed lower RMSE values.The model simulated higher RMSE at the tidal marsh sites.The model had capability to simulate the daily and annual/seasonal CH4 emissions from all wetland types(model efficiency>0),and performed better for coastal wetlands than peatlands and marshes,with model efficiency values of 0.75 and 0.99,respectively.When applied the model at annual/seasonal scale for peatlands,marshes,and coastal wetlands,the RMSE decreased a lot.The study indicated that CH4MODwetland is more accurate at annual/seasonal scale than daily scale for different wetland types across China.The non-stochastic portion of CH4 emissions from peatlands,marshes and coastal wetlands can be well predicted by the model.
关 键 词:CH4MODwetland CH4 China WETLAND Accuracy analysis SIMULATION
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