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Climate effects of the GlobeLand30 land cover dataset on the Beijing Climate Center climate model simulations

Science China Earth Sciences 2016年第9期59卷 1754-1764页

作者： SHI XueLi NIE SuPing ju weimin YU Le National Climate Center Beijing 100081 China International Institute for Earth System Science (ESSI) Nanjing University Nanjing 210093 China Ministry of Education Key Laboratory for Earth System Modeling Center for Earth System Science Tsinghua University Beijing 100084 China Joint Center for Global Change Studies Beijing 100875 China

Land cover is one of the most basic input elements of land surface and climate models. Currently, the direct and indirect effects of land cover data on climate and climate change are receiving increasing attentions. In this study, a high resolution(30 m) global land cover dataset(Globe Land30) produced by Chinese scientists was, for the first time, used in the Beijing Climate Center Climate System Model(BCC_CSM) to assess the influences of land cover dataset on land surface and climate simulations. A two-step strategy was designed to use the Globe Land30 data in the model. First, the Globe Land30 data were merged with other satellite remote sensing and climate datasets to regenerate plant functional type(PFT) data fitted for the BCC_CSM. Second, the up-scaling based on an area-weighted approach was used to aggregate the fine-resolution Globe Land30 land cover type and area percentage with the coarser model grid resolutions globally. The Globe Land30-based and the BCC_CSM-based land cover data had generally consistent spatial distribution features, but there were some differences between them. The simulation results of the different land cover type dataset change experiments showed that effects of the new PFT data were larger than those of the new glaciers and water bodies(lakes and wetlands). The maximum value was attained when dataset of all land cover types were changed. The positive bias of precipitation in the mid-high latitude of the northern hemisphere and the negative bias in the Amazon, as well as the negative bias of air temperature in part of the southern hemisphere, were reduced when the Globe Land30-based data were used in the BCC_CSM atmosphere model. The results suggest that the Globe Land30 data are suitable for use in the BCC_CSM component models and can improve the performance of the land and atmosphere simulations.

关键词： Land cover Climate model Application strategy Numerical simulation Air temperature Precipitation

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Effects of a Remotely Sensed Land Cover Dataset with High Spatial Resolution on the Simulation of Secondary Air Pollutants over China Using the Nested-grid GEOS-Chem Chemical Transport Model

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Advances in Atmospheric Sciences 2014年第1期31卷 179-187页

作者： LI Mingwei WANG Yuxuan ju weimin Ministry of Education Key Laboratory for Earth System Modeling Center for Earth System Science Institute for Global Change Studies Tsinghua University School of Environment Tsinghua University International Institute for Earth System Science Nanjing University

A number of remotely sensed land cover datasets with spatial resolutions ~〈 1 km have recently become available or are in the process of being mapped. The application of these higher resolution and more up-to-date land cover datasets in chemical transport models （CTMs） is expected to improve the simulation of dry deposition and biogenic emissions of non-methane volatile organic compounds （NMVOCs）, which affect ozone and other secondary air pollutants. In the present study, we updated the land cover dataset in the nested-grid GEOS-Chem CTM with the 1 km resolution GLC2000 land cover map and examined the resulting changes in the simulation of surface ozone and sulfate over China in july 2007. Through affecting the dry deposition velocities of ozone and its precursors, using GLC2000 in the dry deposition module can decrease the simulated surface ozone by 3% （up to 6 ppb） over China. Simulated surface sulfate shows an increase of 3% in northwestern China and a decrease of 1% in northern China. Applying GLC2000 in the biogenic emissions of the NMVOC module can lead to a 0.5--4.5 ppb increase in simulated surface ozone over East China, mainly driven by the larger cove~：age of broadleaf trees in East China in the GLC2000 dataset. Our study quantifies the large sensitivity to land cover dataset~ with different spatial resolutions and time periods of simulated secondary air pollutants over China, supporting ongoing research efforts to produce high resolution and dynamically updated land cover datasets over China, as well as for the globe.

关键词： land cover dry deposition biogenic emissions ozone sulfate

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Changes of net primary productivity in China during recent 11 years detected using an ecological model driven by MODIS data

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Frontiers of Earth Science 2013年第1期7卷 112-127页

作者： Yibo LIU weimin ju Honglin HE Shaoqiang WANG Rui SUN Yuandong ZHANG Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Nanjing University Nanjing 210093 China International Institute for Earth System Science Nanjing University Nanjing 210093 China Key Laboratory of Ecosystem Network Observation and Modeling Institute of Geographic Sciences and Natural Resources Research Chinese Academy of Sciences Beijing 100101 China State Key Laboratory of Remote Sensing Science Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications of Chinese Academy of Sciences Beijing 100875 China Key Laboratory of Forest Ecology and Environment State Forestry Administration Institute of Forest Ecology Environment and Protection Chinese Academy of Forestry Beijing 100091 China

Net primary productivity （NPP） is an important component of the terrestrial carbon cycle. Accurately mapping the spatial-temporal variations of NPP in China is crucial for global carbon cycling study. In this study the process-based Boreal Ecosystem Productivity Simulator （BEPS） was employed to study the changes of NPP in China＇s ecosystems for the period from 2000 to 2010. The BEPS model was first validated using gross primary productivity （GPP） measured at typical flux sites and forest NPP measured at different regions. Then it was driven with leaf area index （LAI） inversed from the Moderate Resolution Imaging Spectroradiometer （MODIS） reflec- tance and land cover products and meteorological data interpolated from observations at753 national basic meteorological stations to simulate NPP at daily time steps and a spatial resolution of 500m from January 1, 2000 to December 31, 2010. Validations show that BEPS is able to capture the seasonal variations of tower-based GPP and the spatial variability of forest NPP in different regions of China. Estimated national total of annual NPP varied from 2.63 to 2.84Pg ***-1, averaging 2.74Pg ***-1 during the study period. Simulated terrestrial NPP shows spatial patterns decreasing from the east to the west and from the south to the north, in association with land cover types and climate. South-west China makes the largest contribution to the national total of NPP while NPP in the North-west account for only 3.97% of the national total. During the recent 11 years, the temporal changes of NPP were heterogamous. NPP increased in 63.8% of China＇s landmass, mainly in areas north of the Yangtze River and decreased in most areas of southern China, owing to the low temperature freezing in early 2008 and the severe drought in late 2009.

关键词： temporal and spatial variations NPP remotesensing MODIS data BEPS model

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Spatial and temporal variations of forest LAI in China during 2000-2010

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Chinese Science Bulletin 2012年第22期57卷 2846-2856页

作者： LIU YiBo ju weimin CHEN JingMing ZHU GaoLong XING BaiLing ZHU JingFang HE MingZhu International Institute for Earth System Sciences Nanjing UniversityNanjing 210093China Department of Geography Minjiang UniversityFuzhou 350108China

Forests are crucial terrestrial *** leaf area index (LAI) is a key parameter determining the exchange of matter and energy between the atmosphere and the ground *** this study,MOD 09A1 and MCD 43A1 data were input into an inversion model based on the 4-scale geometric optical model to retrieve 8-d 500 m LAI products in China during the period 2000 to *** resulting LAI product was validated using LAI measured in 6 typical *** spatial and temporal variations of forest LAI and its relationships with temperature and precipitation were *** results show that the accuracy of the 500 m LAI product was above 70% in the 6 typical areas,indicating the reliability of this *** 2000 to 2010,forest LAI in northeast,north,and south central China showed increasing ***,forest LAI in southeast and parts of southwest China showed downward trends,mainly because of the significant decrease observed during the period 2008 to *** mean forest LAI positively correlated with annual mean temperature (AMT) in northeastern China and negatively correlated with AMT in southwest *** had positive correlations with annual total precipitation in central south and north *** abnormal climate conditions in 2001 and 2009 caused forest LAI to be obviously lower than normal in regions south of the Qinling Mountains and Huaihe *** mean LAI decreased by more than 1.0 in some areas.

关键词：中国西南部 LAI 时间变化森林空间中国东北地区年平均气温叶面积指数

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Sensitivity of Estimated Total Canopy SIF Emission to Remotely Sensed LAI and BRDF Products

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Journal of Remote Sensing 2021年第1期2021卷 145-162页

作者： Zhaoying Zhang Yongguang Zhang Jing M.Chen weimin ju Mirco Migliavacca Tarek S.El-Madany International Institute for Earth System Sciences Nanjing UniversityNanjingJiangsuChina Yuxiu Postdoctoral Institute Nanjing UniversityNanjingJiangsuChina Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology Key Laboratory for Land Satellite Remote Sensing Applications of Ministry of Natural ResourcesSchool of Geography and Ocean ScienceNanjing UniversityNanjingJiangsuChina Huangshan Park Ecosystem Observation and Research Station Ministry of EducationChina Department of Geography and Planning University of TorontoTorontoOntarioCanada Max Planck Institute for Biogeochemistry Department Biogeochemical Integration Germany

Remote sensing of solar-induced chlorophyll fluorescence(SIF)provides new possibilities to estimate terrestrial gross primary production(GPP).To mitigate the angular and canopy structural effects on original SIF observed by sensors(SIF_(obs)),it is recommended to derive total canopy SIF _(emission)(SIF_(total))of leaves within a canopy using canopy interception(i0)and reflectance of vegetation(R_(V)).However,the effects of the uncertainties in i_(0) and R_(V) on the estimation of SIFtotal have not been well ***,we evaluated such effects on the estimation of GPP using the Soil-Canopy-Observation of Photosynthesis and the Energy balance(SCOPE)*** SCOPE simulations showed that the R^(2) between GPP and SIF_(total) was clearly higher than that between GPP and SIFobs and the differences in R^(2)(ΔR^(2))tend to decrease with the increasing levels of uncertainties in i_(0) and *** resultantΔR^(2) decreased to zero when the uncertainty level in i0 and RV was~30%for red band SIF(RSIF,683 nm)and~20%for far-red band SIF(FRSIF,740 nm).In addition,as compared to the TROPOspheric Monitoring Instrument(TROPOMI)SIFobs at both red and far-red bands,SIF_(total) derived using any combination of i_(0)(from MCD15,VNP15,and CGLS LAI products)and RV(from MCD34,MCD19,and VNP43 BRDF products)showed comparable improvements in estimating *** this study,we suggest a way to advance our understanding in the estimation of a more physiological relevant SIF datasets(SIF_(total))using current satellite products.

关键词： BRDF estimation SCOPE

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Global Terrestrial Ecosystem Carbon Flux Inferred from TanSat XCO_(2)Retrievals

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Journal of Remote Sensing 2022年第1期2022卷 299-310页

作者： Hengmao Wang Fei Jiang Yi Liu Dongxu Yang Mousong Wu Wei He jun Wang Jing Wang weimin ju Jing MChen Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Institute of Atmospheric Physics Chinese Academy of SciencesBeijing 100029China Department of Geography University of TorontoTorontoOntarioCanada M5S3G3

TanSat is China’s first greenhouse gases observing *** recent years,substantial progresses have been achieved on retrieving column-averaged CO_(2)dry air mole fraction(XCO_(2)).However,relatively few attempts have been made to estimate terrestrial net ecosystem exchange(NEE)using TanSat XCO_(2)*** this study,based on the GEOS-Chem 4D-Var data assimilation system,we infer the global NEE from April 2017 to March 2018 using TanSat XCO_(2).The inversion estimates global NEE at−3.46 PgC yr^(-1),evidently higher than prior estimate and giving rise to an improved estimate of global atmospheric CO_(2)growth ***,our inversion greatly increases the carbon uptakes in northern mid-to-high latitudes and significantly enhances the carbon releases in tropical and southern lands,especially in Africa and India *** increase of posterior sinks in northern lands is mainly attributed to the decreased carbon release during the nongrowing season,and the decrease of carbon uptakes in tropical and southern lands basically occurs throughout the *** against independent CO_(2)observations and comparison with previous estimates indicate that although the land sinks in the northern middle latitudes and southern temperate regions are improved to a certain extent,they are obviously overestimated in northern high latitudes and underestimated in tropical lands(mainly northern Africa),*** results suggest that TanSat XCO_(2)retrievals may have systematic negative biases in northern high latitudes and large positive biases over northern Africa,and further efforts are required to remove bias in these regions for better estimates of global and regional NEE.

关键词： estimates remove attributed

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The status of carbon neutrality of the world’s top 5 CO_(2) emitters as seen by carbon satellites

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Fundamental Research 2022年第3期2卷 357-366页

作者： Fei Jian Wei He weimin ju Hengmao Wang Mousong Wu jun Wang Shuzhuang Feng Lingyu Zhang Jing MChen Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjing 210023China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application Nanjing 210023China Department of Geography University of TorontoTorontoOntario M5S3G3Canada Frontiers Science Center for Critical Earth Material Cycling Nanjing UniversityNanjing 210023China

China,the Unite States(US),the European Union(EU),India,and Russia are the world’s top 5 fossil fuel and cement CO_(2)(FFC)emitting countries or regions(CRs).It is very important to understand their status of carbon neutrality,and to monitor their future changes of net carbon fluxes(NCFs).In this study,we implemented a well-established global carbon assimilation system(GCAS,Version 2)to infer global surface carbon fluxes from May 2009 to December 2019 using both GOSAT and OCO-2 XCO_(2)*** reductions of flux uncertainty and XCO_(2)bias,and the evaluation of posterior flux show that GCAS has comparable and good performance in the 5 *** results suggest that Russia has achieved carbon neutrality,but the other 4 are still far from being carbon neutral,especially *** mean annual NCFs in China,the US,the EU,India,and Russia are 2.33±0.29,0.82±0.20,0.42±0.16,0.50±0.12,and-0.33±0.23 PgC yr^(−1),*** 2010 to 2019,the NCFs showed an increasing trend in the US and India,a slight downward trend after 2013 in China,and were stable in the *** changes of land sinks in China and the US might be the main reason for their ***’s trend was mainly due to the increase of FFC *** relative contributions of NCFs to the global land net carbon emission of China and the EU have decreased,while those of the US and India have increased,implying the US and India must take more active measures to control carbon emissions or increase their *** study indicates that satellite XCO_(2)could be successfully used to monitor the changes of regional NCFs,which is of great significance for major countries to achieve greenhouse gas control goals.

关键词： Net carbon flux GOSAT OCO-2 XCO_(2) Atmospheric inversion

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Spatio-temporal dynamics of vegetation and its relationship with climate factors Mongolia, China coverage in Inner

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Journal of Geographical Sciences 2013年第2期23卷 231-246页

作者： MU Shaojie YANG Hongfei LI Jianlong CHEN Yizhao GANG Chengcheng ZHOU Wei ju weimin SchoolofLifeScience NamingUniversityNanjing210093China InternationalInstituteforEarth-SystemScience N-anjinguniversityNanjing210093China

The vegetation coverage dynamics and its relationship with climate factors on different spatial and temporal scales in Inner Mongolia during 2001-2010 were analyzed based on MODIS-NDVI data and climate data. The results indicated that vegetation coverage in Inner Mongolia showed obvious longitudinal zonality, increasing from west to east across the region with a change rate of 0.2/10N. During 2001-2010, the mean vegetation coverage was 0.57, 0.4 and 0.16 in forest, grassland and desert biome, respectively, exhibiting evident spatial heterogeneities. Totally, vegetation coverage had a slight increasing trend during the study period. Across Inner Mongolia, the area of which the vegetation coverage showed extremely significant and significant increase accounted for 11.25% and 29.13% of the area of whole region, respectively, while the area of which the vegetation coverage showed extremely significant and significant decrease accounted for 7.65% and 26.61%, respectively. On interannual time scale, precipitation was the dominant driving force of vegetation coverage for the whole region. On inter-monthly scale, the change of vegetation coverage was consistent with both the change of temperature and precipitation, implying that the vegetation growth within a year is more sensitive to the combined effects of water and heat rather than either single climate factor. The vegetation coverage in forest biome was mainly driven by temperature on both inter-annual and inter-monthly scales, while that in desert biome was mainly influenced by precipitation on both the two temporal scales. In grassland biome, the yearly vegetation coverage had a better correlation with precipitation, while the monthly vegetation coverage was influenced by both temperature and precipitation. In grassland bi- ome, the impacts of precipitation on monthly vegetation coverage showed time-delay effects.

关键词： Inner Mongolia vegetation coverage precipitation temperature correlation

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The Nord Stream pipeline gas leaks released approximately 220,000 tonnes of methane into the atmosphere

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Environmental Science and Ecotechnology 2022年第4期12卷 3-7页

作者： Mengwei Jia Fei Li Yuzhong Zhang Mousong Wu Yingsong Li Shuzhuang Feng Hengmao Wang Huilin Chen weimin ju jun Lin Jianwei Cai Yongguang Zhang Fei Jiang Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology International Institute for Earth System ScienceNanjing UniversityNanjingJiangsu Province210023China Key Laboratory of Coastal Environment and Resources of Zhejiang Province School of EngineeringWestlake UniversityHangzhouZhejiang Province310030China Joint International Research Laboratory of Atmospheric and Earth System Sciences School of Atmospheric SciencesNanjing UniversityNanjingJiangsu Province210023China China Centre for Resources Satellite Data and Application Beijing100094China International Joint Carbon Neutrality Laboratory NanjingJiangsu Province210023China Nantong Academy of Intelligent Sensing NantongJiangsu Province226000China Jiangsu Center for Collaborative Innovation in Geographical Information Resource Development and Application NanjingJiangsu Province210023China Frontiers Science Center for Critical Earth Material Cycling Nanjing UniversityNanjingJiangsu Province210023China

Sudden mega natural gas leaks of two Nord Stream pipelines in the Baltic Sea(Denmark)occurred from late September to early October 2022,releasing large amounts of methane into the *** inferred the methane emissions of this event based on surface in situ observations using two inversion methods and two meteorological reanalysis datasets,supplemented with satellite-based *** conclude that approximately 220±30 Gg of methane was released from September 26 to October 1,2022.

关键词： methane approximate conclude

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基于BEPS生态模型模拟农田土壤水分动态

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农业工程学报 2011年第3期27卷 67-72页

作者：刘昭周艳莲居为民高苹南京大学地理与海洋科学学院南京210093 南京大学国际地球系统科学研究所南京210093 江苏省气象台南京210008

为了提高农田水分动态的模拟精度,以提高农田水管理的效率,该文研究验证了BEPS机理生态模型模拟季风气候区农田土壤水分的能力,分析了导致模型误差的原因。结果表明,BEPS模型能较好地模拟江苏省徐州农业气象试验站冬小麦生长季根层土壤... 详细信息

为了提高农田水分动态的模拟精度,以提高农田水管理的效率,该文研究验证了BEPS机理生态模型模拟季风气候区农田土壤水分的能力,分析了导致模型误差的原因。结果表明,BEPS模型能较好地模拟江苏省徐州农业气象试验站冬小麦生长季根层土壤水分动态,2000-2004年模拟结果与实际观测值的决定系数R2的范围在0.1339～0.9225之间,均方根误差和平均绝对误差分别在0.026113～0.06317和0.0232～0.0525之间。土壤水分饱和传导率和决定土壤水分传导率变化的参数对模拟结果有较大影响。模拟结果的可靠性及其对土壤水分饱和传导率和决定土壤水分传导率变化的参数的敏感性与降水和土壤含水率条件有关,当降水长期偏少、土壤含水率下降时,模拟的上层土壤含水率会较观测数据偏低,对2个参数的敏感性上升。

关键词：土壤水分敏感性分析 BEPS模型

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