不同陆地生态系统碳通量对GEOS-Chem模型模拟全球CO2浓度的影响

大气中CO₂含量的增加速率已经超过了自然界所能吸收的速度,并逐步影响到全球气候变暖。利用模型模拟分析已经成为一个重要的工具用以深入对碳循环的理解。本文使用2008～2010年的生物模型SiB3（Simple Biosphere version 3）与优化后的CT2016（Carbon Tracker 2016）陆地生态系统碳通量驱动GEOS-Chem大气化学传输模型模拟全球CO₂浓度。通过分析模拟CO₂浓度的空间分布与季节变化,加深对全球碳源汇分布特点的理解,探究陆地生态系统碳通量不确定性对模拟结果的影响,进而认识陆地生态系统碳通量反演精度提升的重要性。SiB3与优化后的CT2016陆地生态系统碳通量都具有明显的季节变化,但在欧洲地区碳源汇的表现相反,其全球总量与空间分布也存在极大的不确定性。模拟CO₂浓度结果表明:在人为活动较少地区,陆地生态系统碳通量对近地面CO₂浓度空间分布起主导作用,尤其在南半球和欧洲地区模拟浓度有明显差异,且两种模拟结果的季节差异依赖于陆地生态系统碳通量的季节变化。将模拟结果与9个观测站点资料进行对比,以期选用合适的陆地生态系统碳通量来提升GEOS-Chem模拟CO₂浓度的精度。实验结果表明:两种模拟结果均能较好的模拟CO₂浓度的季节变化及其峰谷值,但CT2016模拟的CO₂浓度在多数站点处更接近观测资料,模拟准确性更高。     

基于FLUXNET数据集对陆面模式CoLM能量通量的单点评估

模式评估是模式发展中的重要一环。本文利用来自FLUXNET2015数据集的30个站点的涡动相关系统观测数据,重点关注能量通量,对通用陆面模式（Common Land Model version 2014,CoLM2014）在不同典型下垫面的模拟能力进行评估。结果表明,模式总体上能抓住感热、潜热和净辐射通量在日、季节和年平均等不同时间尺度上的变化特征,对感热、潜热和净辐射通量都有较好的模拟能力,净辐射的模拟效果最好,潜热通量次之。季节变化模拟中,感热、潜热通量在夏季不同植被型下站点的空间离散程度大于冬季,不同站点间模拟效果相差较大,净辐射多站点标准差变化幅度要小于感热、潜热,不同站点间模拟效果偏差较小。CoLM在常绿针叶林、稀树林地、草地、农田模拟感热、潜热通量的效果相对较好,在永久湿地、落叶阔叶林下模拟感热通量较差。本研究对CoLM2014在未来的改进和发展中提供了有用的参考。     

应用通量方差法估算戈壁绿洲下垫面湍流通量的研究

利用“绿洲系统能量与水分循环过程观测试验” 2005年绿洲、戈壁点的观测资料, 分析与讨论了温度、水汽的归一化标准差随稳定度变化的通量方差关系, 应用通量方差法对感热、 潜热通量进行了计算, 并同涡动相关系统的观测结果进行了比较。不稳定条件下, 戈壁点温度归一化标准差随稳定度变化的通量方差关系优于下垫面非均匀性更强的绿洲点, 绿洲点水汽的归一化标准差随稳定度变化的通量方差关系较温度量表现得更好。对同一站点, 归一化温度标准差的通量方差关系并不总是优于水汽的通量方差关系, 其取决于该站点的温度以及水汽的源汇分布情况; 通量方差法对两个站点的感热、 潜热通量均有较好的再现, 但戈壁点感热通量的计算效果优于非均匀性更强的绿洲点。应用通量方差法对潜热通量计算时若采用直接观测的感热通量, 则潜热通量的计算效果具有一定程度的改善。     

海气耦合气候模式对大气中水汽输送、辐散辐合与海气间水通量交换的模拟

基于ECMWF再分析结果对LASG第三代全球海洋-大气-陆地耦合系统模式(GOALS)的两个版本和第四代耦合气候模式初始版(FGCM-0)所模拟的大气水汽输送与辐散辐合特征、海气间水通量交换,进行了评估分析.结果表明:(1)对垂直积分的水汽通量场的流函数及其对应的无辐散水汽通量矢量的模拟,三个耦合模式都能够较为合理地再现副热带大洋的涡旋结构、中纬度西风带的东向水汽输送、赤道东风带的西向水汽输送和东亚夏季风水汽输送等行星尺度特征及其季节变化,只是GOALS的涡旋位置、FGCM-0的涡旋中心强度,较之实际略有偏差.(2)反映在垂直积分的水汽通量场的势函数和对应的无旋水汽矢量上,对南北半球副热带大洋水汽辐散区、热带辐合带(ITCZ)、东亚夏季风区强烈的水汽辐合特征等的模拟,FGCM-0的结果相对合理.GOALS的热带辐合中心过于集中在印度尼西亚群岛附近,东亚夏季风水汽辐合中心偏南.(3)关于海气水通量交换,FGCM-0较为理想地再现了副热带的净蒸发、ITCZ和中高纬度的净降水特征以及夏季ITCZ的季节性北移,但对南太平洋辐合带(SPCZ)、副热带南大西洋的净蒸发特点,以及阿拉伯海和盂加拉湾季节变化的差异,模拟结果不理想.FGCM-0在模拟SPCZ上的偏差,是由海气耦合过程造成的.GOALS未能合理再现ITCZ和SPCZ降水大于蒸发的特点,其净降水集中在西太平洋暖池区;但对副热带南大西洋、北印度洋水通量季节变化的模拟相对合理.     

影响山东夏季降水的季风水汽输送特征分析

利用NCEP/NCAR月平均风场和比湿资料分析了亚洲季风区平均水汽输送通量的气候特征和季节变化;研究了山东旱涝年季风区水汽输送的差异及其在不同时段对山东夏季降水异常的贡献。结果表明,山东地区的平均水平水汽输送通量存在着明显的年际变化,纬向、经向和总水汽输送通量随时间均呈单峰曲线分布,7月达极值;影响山东夏季降水的印度季风区水汽输送以纬向为主、副热带季风区水汽输送以经向为主;5~6月,来自热带印度洋的西南季风水汽输送通量、西太平洋热带和副热带东南季风水汽输送通量以及南海北部的水汽输送通量对山东夏季降水均有贡献,涝年水汽输送通量明显大于旱年。虽然7月来自印度洋的西南季风水汽输送通量达极值,但对山东夏季降水异常的贡献并不显著,7~8月主要是来自西太平洋地区的热带和副热带季风水汽输送对山东夏季降水异常的贡献较明显。     

耦合不同陆面过程对江西南部一次暖区特大暴雨过程的模拟试验

利用WRF V模式耦合4个陆面过程对2015年5月18—19日江西南部暖区特大暴雨进行了模拟,以检验陆面过程对暴雨过程的影响;在此基础上,又进行了地表通量敏感性试验,以检验地面扰动通量对降水的影响。结果表明,各方案模拟的降水范围、雨带走向以及降水中心位置与实况都比较相似,但是降水强度大小与陆面过程的选择存在一定的差异。其中,WRF模式耦合NOAH方案模拟的降水中心、降水强度和累积降水量均能够较好地反映这次暴雨过程的发展。感热和潜热通量在暖区暴雨中是维持降水持续的主要能量输送,对暴雨中心强度和位置变化的影响,潜热通量比感热通量发挥了更重要的作用。来自地面水汽蒸发所释放的潜热以及水汽抬升和辐合释放的潜能为维持暴雨强度提供了重要的能量支撑。     

陆地生态系统模型及其与气候模式耦合的回顾

陆地生态系统和气候系统通过能量通量、水汽通量、物质交换相互影响、作用。作者对陆地生态系统模型及其与气候模式耦合的研究进行综述和讨论,总结了当代5类主要全球陆地生态系统模型,即生物地理模型、生物地球化学模型、森林林窗模型、陆面生物圈模型和动态全球植被模型,以及它们与气候模式耦合的研究进展。阐述了动态全球植被模型及其与气候模式耦合研究在全球变化研究的重要作用。最后,对未来模拟研究的方向进行了分析。     

SiB3对不同下垫面的模拟试验与验证

首先介绍简单生物圈模式版本3(Simple Biosphere Model 3,SiB3)相比SiB2的改进之处以及相应的参数化方案。为了检验SiB3模式能否模拟不同下垫面的地气之间水分和能量交换,本文在全球选择3个代表高、中、低纬度的典型实验站点(青藏高原安多站点、亚马逊流域的Km34站点和美国中西部的WLEF站点),利用SiB3进行模拟分析和实验验证。研究结果表明,SiB3能够较好地模拟出不同下垫面的地表感热通量、潜热通量和净辐射通量随时间的变化率以及变化趋势,模式模拟值和测量值的相关系数达到080左右。但与实测相比,SiB3模拟的感热通量值仍偏高。在安多站点,模式模拟的地表土壤水分比较干燥,且模拟的地表温度较测量值偏高。     

城市边界层动量和保守物通量的特征

利用2005年1-5月北京325 m气象塔47 m高度的湍流脉动资料(风速、温度、水汽和CO2),对城市边界层冠层内的湍流运动统计特征(相似关系、高阶矩、通量和谱等)进行了分析。其中,谱分析的结果表明,城市冠层内稳定度对湍流谱的影响比较小,而水平风速的影响比较大。因此,速度和温度的相似关系在夜间稳定条件下也成立。但是,由于水汽和CO2还受其他因素的影响,相似关系并不适用。更高阶矩的研究表明它们的陡峭度与偏斜度之间存在平方关系。而水汽和CO2之间也存在差异,它们的通量日变化特征明显不同,CO2通量的日变化更能体现人类活动的影响。同时,感热通量、潜热通量和CO2通量存在季节变化,尤其是潜热通量季节差异很大。     

CoLM模式在中国温带混交林和亚热带人工针叶林的水热通量模拟性能评估

利用中国陆地生态系统通量观测研究网络(ChinaFLUX)在长白山温带混交林观测站点和千烟洲亚热带人工针叶林观测站点的强化观测资料,考察了一个较为完善的陆面过程模式(Common LandModel,CoLM)在这两种不同植被类型下垫面的模拟性能,特别是其对潜热通量的模拟。模拟结果与强化观测资料的对比表明,CoLM能较好地模拟出实验站点地表能量平衡的基本特征以及潜热通量的日变化和季节变化。其中长白山站和千烟洲站潜热通量日平均的观测值与模拟值的相关系数分别为0.804和0.692,均通过了0.001的显著性水平检验。总体而言,CoLM在长白山站的模拟效果更好一些,模式对不同植被覆盖类型的土壤—植被—大气间水热传输过程的处理可能是造成差别的原因。     

Sensitivity of the Carbon Storage of Potential Vegetation to Historical Climate Variability and CO_2 in Continental China

The interest in the national levels of the terrestrial carbon sink and its spatial and temporal variabil-ity with the climate and CO2 concentrations has been increasing.How the climate and the increasing atmospheric CO2 concentrations in the last century affect the carbon storage in continental China was in-vestigated in this study by using the Modified Sheffeld Dynamic Global Vegetation Model(M-SDGVM).The estimates of the M-SDGVM indicated that during the past 100 years a combination of increasing CO2 with...     

Simulation and Evaluation of Terrestrial Ecosystem NPP with M-SDGVM over Continental China

Using the regional terrestrial Net Primary Production (NPP) from different observations and models over China, we validated the NPP simulations and explored the relationship between NPP and climate variation at interannual and decadal scales in the Modified Sheffield Dynamic Global Vegetation Model (M-SDGVM) during 1981–2000. M-SDGVM shows agreement with the NPP data from 743 sites under the Global Primary Production Data Initiative (GPPDI). The spatial and the zonal averaged NPP of M-SDGVM agree well with ...     

Sensitivity of the Carbon Storage of Potential Vegetation to Historical Climate Variability and CO2 in Continental China

The interest in the national levels of the terrestrial carbon sink and its spatial and temporal variability with the climate and CO2 concentrations has been increasing. How the climate and the increasing atmospheric CO2 concentrations in the last century affect the carbon storage in continental China was investigated in this study by using the Modified Sheffield Dynamic Global Vegetation Model (M-SDGVM). The estimates of the M-SDGVM indicated that during the past 100 years a combination of increasing CO2 with historical temperature and precipitation variability in continental China have caused the total vegetation carbon storage to increase by 2.04 Pg C, with 2.07 Pg C gained in the vegetation biomass but 0.03 Pg C lost from the organic soil carbon matter. The increasing CO2 concentration in the 20th century is primarily responsible for the increase of the total potential vegetation carbon. These factorial experiments show that temperature variability alone decreases the total carbon storage by 1.36 Pg C and precipitation variability alone causes a loss of 1.99 Pg C. The effect of the increasing CO2 concentration alone increased the total carbon storage in the potential vegetation of China by 3.22 Pg C over the past 100 years. With the changing of the climate, the CO2 fertilization on China's ecosystems is the result of the enhanced net biome production (NBP), which is caused by a greater stimulation of the gross primary production (GPP) than the total soil-vegetation respiration. Our study also shows notable interannual and decadal variations in the net carbon exchange between the atmosphere and terrestrial ecosystems in China due to the historical climate variability.     

Influence of surface heterogeneity on scalar dissimilarity in the roughness sublayer

While it is generally known that surface heterogeneity weakens the application of Monin–Obukhov similarity (MOS), few studies have investigated how seasonal changes in the degree of surface heterogeneity at a particular site may influence the validity of the similarity application. Exploiting seasonal changes in forest function associated with senescence, we conduct a unique evaluation of the effects of surface heterogeneity on the validity of similarity theory at two sites through time. Using high frequency (10 Hz) velocity and scalar time series collected within the roughness sublayer over mixed hardwood deciduous and coniferous forests during both periods of peak leaf area and senescence of deciduous foliage, we examined conformity with proposed universal flux-variance predictions and agreement amongst normalized standard deviations of different scalars (temperature, water vapour and carbon dioxide concentrations). Normalized scalar standard deviations were elevated above MOS flux-variance predictions, with more pronounced deviations observed during and following senescence, particularly in the case of CO₂. Power-law scaling of normalized standard deviations as a function of stability was upheld and robust to seasonal changes in surface heterogeneity. However, dissimilarity of normalized standard deviations for the scalars increased during senescence, as heterogeneity in the source/sink field increased. Scalewise decomposition of scalar time series using wavelet analysis indicated that correlations between scalars were conservative through much of the inertial cascade but decayed for eddies < 10 m. Senescence lowered correlations between scalars over a wide range of eddy sizes. These results demonstrate how seasonal changes in surface physiology can cause a temporal production of heterogeneity in the source/sink field, thus weakening similarity applications in the roughness sublayer.     

Seasonal and interannual variability of carbon dioxide and water balances of a grassland

There is great international concern over the increase of atmospheric carbon dioxide and its effect on vegetation and climate, and vice versa. Many studies on this issue are based on climate model calculations or indirect satellite observations. In contrast we present a 12-year study (1994–2005) on the net ecosystem exchange of carbon dioxide (NEE) and precipitation surplus (i.e., precipitation–evaporation) of a grassland area in the centre of the Netherlands. On basis of direct flux observations and a process-based model we study and quantify the carbon uptake via assimilation and carbon release via soil and plant respiration. It appears that nearly year-round the assimilation term dominates, which indicates an accumulation of carbon dioxide. The mean net carbon uptake for the 12-year period is about 3 tonnes C per hectare, but with a strong seasonal and interannual variability depending on the weather and water budget. This variability may severely hamper the accurate quantification of carbon storage by vegetation in our present climates and its projection for future climates.     

Atmospheric carbon dioxide variations at coastal site,Sibukawa, in Seto Inland Sea,Japan. 2. observation from 1980 to 1989

Summary Atmospheric carbon dioxide variations have been studied by using data between May 1980 and July 1989 from Sibukawa in Seto Inland Sea, sited in the western part of Japan. The power spectrum of carbon dioxide shows that the one-day period was predominant and 4 to 5 days period associated with quasiperiodic variation in weather was also significant. The seasonal variation of daily minimum concentration of carbon dioxide shows a maximum in summer months (July–September), and a minimum in winter months (November–December and January–March). The variation pattern seems to be in opposite phase to the carbon dioxide variations expected in the northern hemisphere. This was probably due to reduced vertical mixing under stable stratification of the air layer prevailing during summer months at Sibukawa station. It is noted that the air layer is in lapse conditions during winter months. The annual rate of increase of carbon dioxide concentration is examined using data obtained during winter months. It is 3.1 ppm/year. This value is about twice the increasing rate of increase on a global scale and in the lower troposphere over Japan.With 5 Figures     

Testing for trend in variability of climate data: measures and temporal aggregation with applications to Canadian data

Summary It is not clear whether different measures of dispersion of weather attributes could lead to different conclusions on the nature and direction of climatic variability. The range is commonly used as a measure of variability, while the presence of trend is typically studied on seasonal and/or annual basis. In this study, we used daily average temperature values at 15 sites spatially distributed across Canada to test for the presence of trend in variability (measured by the range, the standard deviation and the IQR) using a bootstrap method. The length of the series varied from site to site, ranging from 30 to 151 years. The analysis was undertaken for each month, each season, and the annual data. When calculating the standard deviations, estimates of the annual mean temperatures were used to make the results invariant to the presence of trend in mean. The monthly and seasonal analysis revealed the presence of either increasing or decreasing variability for some months and some seasons. The results for the annual data were not so revealing, especially at sites where some months have increasing while others have decreasing trends. The results across sites did not exhibit a clear geographic pattern. However, there were consistently increasing trends in variability at Toronto and St. Johns during non-summer months, and mostly decreasing trend in Edmonton. The significance of trend in variability using the range and the standard deviation were consistent in less than 30% of the time across sites and across the monthly, seasonal and annual aggregations. There was not much agreement between the standard deviation and the IQR either, highlighting the importance of the choice of a measure of variability.     

Surface energy, water and carbon cycle in China simulated by the Australian community land surface model (CABLE)

Through an Australia-China climate change bilateral project, we analyzed results of 51-year global offline simulations over China using the Australian community atmosphere biosphere land exchange (CABLE) model, focusing on integrated studies of its surface energy, water and carbon cycle at seasonal, interannual and longer time-scales. In addition to the similar features in surface climatology between the CABLE simulation and those derived from the global land-surface data assimilation system, comparison of surface fluxes at a CEOP reference site in northeast China also suggested that the seasonal cycles of surface evaporation and CO₂ flux are reasonably simulated by the model. We further assessed temporal variations of model soil moisture with the observed variations at a number of locations in China. Observations show a soil moisture recharge–discharge mechanism on a seasonal time scale in central-east China, with soil moisture being recharged during its summer wet season, retained in its winter due to low evaporation demand, and depleted during early spring when the land warms up. Such a seasonal cycle is shown at both 50- and 100-cm soil depths in observations while the model only shows a similar feature in its lower soil layers with its upper layer soil moisture varying tightly with rainfall seasonal cycle. In the analysis of the model carbon cycle, the net primary productivity (NPP) has similar spatial patterns as the ones derived from an ecosystem model with remote sensing. The simulated interannual variations of NPP by CABLE are consistent with the results derived from remote sensing-based and process-based studies over the period of 1981–2000. Nevertheless an upward trend from observations is not presented in the model results. The model shows a downward trend primarily due to the constant CO₂ concentration used in the experiment and a large increase of autotrophic respiration caused by an upward trend in surface temperature forcing data. Furthermore, we have compared river discharge data from the model experiments with observations in the Yangtze and Yellow River basins in China. In the Yangtze River basin, while the observed interannual variability is reasonably captured, the model significantly underestimates its river discharge, which is consist with its overestimation of evaporation in the region. In the Yellow River basin, the magnitudes of the river discharge is similar between modeled and observed but its variations are less skillfully captured as seen in the Yangtze River region.     

Intra-seasonal rainfall and piped water revenue variability in rural Africa

Rainfall patterns influence water usage and revenue from user payments in rural Africa. We explore these dynamics by examining monthly rainfall against 4,888 records of rural piped water revenue in Ghana, Rwanda, and Uganda and quantifying revenue changes over 635 transitions between dry and wet seasons.Results show operators experience revenue variability at regional and intra-seasonal scales. Revenues fall by an average of 30 percent during the wettest months of the year in climate regimes with consistent wet season rainfall. However, seasonally stable revenues are observed in areas where consecutive dry days are common during the wet season, potentially reflecting a dependency on reliable services. We also find changes in tariff level, waterpoint connection type, and payment approach do not consistently prevent or increase seasonal revenue variability.Local revenue generation underpins delivery of drinking water services. Where rainfall patterns remain consistent, piped water operators can expect to encounter seasonal revenue reductions regardless of whether services are provided on or off premises and of how services are paid for. Revenue projections that assume consistent volumetric demand year-round may lead to shortfalls that threaten sustainability and undermine the case for future investment. Intra-seasonal rainfall analysis can enhance rural piped water revenue planning by offering localised insight into demand dynamics and revealing where climate variability may increase dependency on reliable services.     

Modeling diurnal to seasonal water and heat exchanges at European Fluxnet sites

Summary The importance of linking measurements, modeling and remote sensing of land surface processes has been increasingly recognized in the past years since on the diurnal to seasonal time scale land surface–atmosphere feedbacks can play a substantial role in determining the state of the near-surface climate. The worldwide Fluxnet project provides long term measurements of land surface variables useful for process-based modeling studies over a wide range of climatic environments.In this study data from six European Fluxnet sites distributed over three latitudinal zones are used to force three generations of LSMs (land surface models): the BUCKET, BATS 1E and SiB 2.5. Processes simulating the exchange of heat and water used in these models range from simple bare soil parameterizations to complex formulations of plant biochemistry and soil physics.Results show that – dependent on the climatic environment – soil storage and plant biophysical processes can determine the yearly course of the land surface heat and water budgets, which need to be included in the modeling system. The Mediterranean sites require a long term soil water storage capability and a biophysical control of evapotranspiration. In northern Europe the seasonal soil temperature evolution can influence the winter energy partitioning and requires a long term soil heat storage scheme. Plant biochemistry and vegetation phenology can drive evapotranspiration where no atmospheric-related limiting environmental conditions are active.