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1.
沙漠地区植被稀疏、干旱少雨,其陆面物理过程具有与全球其它地区显著不同的特点.本文利用巴丹吉林沙漠观测资料,分析和计算了地表反照率、比辐射率、粗糙度和土壤热容量、热传导系数等关键陆面过程参数,建立了适合于沙漠地区的陆面过程模式DLSM (Desert Land Surface Model),并与NOAH陆面过程模式的模拟结果和观测资料进行了比较.结果表明:巴丹吉林沙漠地表反照率为0.273,比辐射率为0.950,地表粗糙度为1.55×10-3 m,土壤热容量和热扩散系数分别为1.08×106 J·m-3·K-1和3.34×10-7 m2·s.辐射传输、感热输送和土壤热传导过程是影响沙漠地区地表能量平衡的主要物理过程.通过对这三种过程的准确模拟检验,DLSM能够较准确地模拟巴丹吉林沙漠地气能量交换特征;短波辐射、长波辐射和感热通量的模拟结果与观测值间的标准差分别为7.98,6.14,33.9 W·m-2,与NOAH陆面过程模式的7.98,7.72,46.6 W·m-2的结果接近.地表反照率是沙漠地区最重要的陆面过程参数,地表反照率增大5%,向上短波辐射通量随之增加5%,感热通量则减小2.8%.本文研究结果对丰富陆面过程参数化方案,改进全球陆面过程模式、气候模式具有参考意义. 相似文献
2.
本文在MSPAS(Modified Soil-Plant-Atmosphere Scheme)的基础上,引入了一个有效的晴天大气辐射传输方案,建立了一个能在物理上真实地模拟陆气相互作用及其反馈机制的二维模式MLAIM（Modified Land Atmosphere Interaction Model）.本文利用HEIFE实验的观测资料对MLAIM的模拟结果进行了检验,对其中不合理的部分进行了分析,指出了在干旱半干旱区陆面过程参数修正的必要性,对干旱半干旱区土壤水分传输以及大气近地面层湍流输送的参数化方案进行了改进.改进后的模式能够较好地模拟夏季连续晴天条件下沙漠的地表能量收支,因此,本文利用MLAIM研究了绿洲对其周围沙漠地表能量收支的影响,并对地表能量收支各分量之间的相互作用进行了分析.结果表明,绿洲向其下风向沙漠的水汽输送是导致其上下风向沙漠间地表能量收支差异的最重要的因子. 相似文献
3.
《地球物理学进展》2015,(4)
干热风是常发生在中国北方冬小麦产区的高温、低湿、风速较大,并伴随有强热量交换和水分蒸发过程的农业气象灾害.当其发生时如果不能保证作物水分的供给,将严重影响产量.因此,开展干热风发生机理的准确模拟与预报,对指导采取适时的农田管理措施,保障小麦产量至关重要.本文应用中尺度气象模式WRF(Weather Research and Forecasting)输出结果驱动北京大学陆面模式PKULM(Peking University Land Model)的模拟方法,结合气象台站观测与风云3A卫星遥感反演的叶面积指数数据,对关中平原2008-2013六年间干热风过程中农田生态系统温度、湿度、风速、感热通量、潜热通量等陆气交换特征进行了数值模拟.准确模拟出了干热风发生期间的大气温度、相对湿度、风速、土壤温度、土壤含水量及冠层感热通量、总感热通量、冠层潜热通量和总潜热通量等关键要素特征,揭示了本地区干热风的两种形成机制.模拟结果表明:WRF对干热风过程的温度场、湿度场与风场模拟比较准确,PKULM对于植物在干热风过程中、特别是气孔关闭阶段的感热、潜热通量的模拟明显优于WRF-Noah LSM(Noah Land Surface Model)的模拟效果.模拟结果与相应气象要素的观测值数值接近、变化趋势一致,在实际干热风发生时间段内的各要素模拟值均达到干热风指标,因此使用本模式系统模拟预报干热风灾害是可行的. 相似文献
4.
土壤湿度在陆气相互作用过程中扮演着重要的角色,是气候、水文、农业、林业等研究中重要的地球物理参数之一.土壤湿度影响地面蒸散,径流、地表反射率、地表发射率以及地表感热和潜热通量,从而对气候有重要影响,它对大气的影响在全球尺度上仅次于海面温度,在陆地尺度其影响甚至超过海面温度.本文介绍了基于EnKF及陆面过程模型的中国区域陆面土壤湿度同化系统（CLSMDAS,China Land Soil Moisture Data Assimilation System）,以及该系统应用于中国区域陆面土壤湿度同化试验的结果.CLSMDAS包括以下几个部分：1）陆面模式采用美国国家大气研究中心NCAR的陆面过程模型Community Land Model Version3.0（简写为CLM3.0）;2）大气驱动场数据中的降水和地面入射太阳辐射数据来自FY2静止气象卫星每小时产品;3）陆面数据同化方法采用EnKF（Ensemble Kalman Filter）同化方法;4）观测数据包括AMSR-E卫星反演土壤湿度产品以及地面土壤湿度观测资料.利用CLSMDAS对2006年6~9月的土壤湿度同化试验结果的分析表明：陆面模式模拟和同化结果都能比较合理地反映出土壤湿度时空分布,同化的土壤湿度分布与2006年8月重庆、四川发生建国以来最严重的夏伏旱有非常好的对应关系,与发生在9月的湖北东部、广西南部等地的干旱区也有非常好的对应关系. 相似文献
5.
《中国科学:地球科学》2015,(10)
陆面过程模式中有关土壤水热传输、植被冠层和空气动力学等过程的关键参数的不确定性严重制约着地表-大气相互作用模拟能力的提高.本文利用架设在我国吉林通榆和甘肃榆中典型半干旱区陆-气相互作用野外试验站的观测资料,结合大气边界层理论,利用多种方法系统估算了上述试验站地表空气动力学粗糙度(z0m)以及热传输附加阻尼(?B?1)的量值.结果表明,z0m在半干旱区具有明显的季节变化和年际变化特征,且在植被低矮的下垫面与现行通用的陆面模式中的默认值相差较大;而?B?1的日变化和季节变化特征明显.将修正后的z0m和?B?1参数化方案引入陆面过程模式,发现能够明显改善模式对于半干旱区地表感热通量的模拟能力.这些结果说明有必要进一步结合半干旱区的野外观测试验对陆面模式在该地区的缺省参数设置进行更广泛的评估,而基于外场观测试验和大气边界层理论估算的关键地表参数对于改进陆气相互作用的模拟体现出较大的应用潜力. 相似文献
6.
利用“我国西北干旱区陆－气相互作用观测试验"在敦煌双墩子戈壁站取得的观测资料及最近的一些研究成果对陆面模式中反照率、相似性函数及地表粗糙度(动量粗糙度，标量粗糙度)3个方面的参数化方案进行了改进，然后对一次典型降水过程的陆面特征及近地层的风、温、湿进行了模拟.结果表明：改进的模式能对降水条件下的干旱区陆面特征进行较好的模拟，其中对辐射、地表温度的模拟相当好，而对能量的模拟虽然还有要改进的地方，但总体结果令人满意；另外改进后的模式对近地层的温度和湿度的模拟也有明显的改善. 相似文献
7.
土壤湿度不仅是地表水循环的重要组成部分,而且对天气和气候也有重要影响,它的模拟误差严重阻碍了人们对水循环的认知.本文首先评估了1°×1°水平分辨率的全球陆面数据同化产品(Global Land Data Assimilation System,GLDAS)对青藏高原中部那曲地区和东部玛曲地区土壤湿度的模拟性能;鉴于GLDAS较粗的分辨率无法精细描述分析区域土壤湿度空间分布特征,于是我们基于通用陆面过程模式(Community Land Surface Model,Version 4.5),开展了高分辨率0.1°×0.1°的模拟,并对高分辨率模拟土壤湿度误差的原因进行了深入分析.结果表明:(1)GLDAS陆面数据同化产品和高分辨率陆面模式模拟结果都可以反映出土壤湿度的季节变化特征,但在非冻结期均存在不同程度的干偏差,尤其是在玛曲地区;(2)对比观测和模拟的土壤湿度发现,观测数据表现出强烈的空间异质性,而模拟结果呈现出的是空间均一性.按照模拟误差进行归类分组,对比模拟性能优劣的两组站点发现,模式物理过程不是模拟性能差异的主要因素,而两组站点间地表特征参数中的土壤质地和地形参数,以及驱动数据均没有体现出空间异质性,这可能是土壤湿度模拟结果没有表现出空间异质性的原因. 相似文献
8.
沙漠绿洲陆面物理过程和地气相互作用数值模拟 总被引：1，自引：0，他引：1
利用一个已发展的陆面物理过程参数化方案与大气边界层数值模式耦合, 模拟了半干旱区沙漠绿洲非均匀下垫面的陆面物理过程及其与大气边界层的相互作用过程, 成功地模拟了局地气候效应和地表温度、净辐射、感热和潜热通量特征并与实测资料进行了比较. 给出“绿洲效应”这一自然现象的垂直剖面上更为清晰准确和细致的结构特征, 结果表明: “绿洲效应”具有明显的“冷岛效应”和“湿岛效应”; 它表现为在绿洲区域比戈壁沙漠区域环境温度低、湿度大、湍流动能输送弱, 具有下沉气流而导致与周围戈壁沙漠区域产生水平输送环流. 这些结果对于深入了解绿洲气候的形成和绿洲的维持机理具有重要的意义. 相似文献
9.
土壤的冻结和融化是土壤内部的重要物理过程,其冻融界面位置的移动影响土壤水热特性以及陆面和大气之间的水分能量交换,从而对陆面水热过程产生重要影响.本研究将土壤冻结和融化问题归结为考虑水热耦合的多运动边界问题,利用局部自适应变网格法进行数值离散,发展了考虑冻结和融化界面位置的移动对水热过程影响的土壤水热耦合模型.该模型基于陆面模式分层结构的敏感性试验表明:它能同时连续地追踪多个冻融界面,克服了等温线法在同一土壤层不能同时模拟多个冻融界面的困难,比高分辨率情形下的计算效率提高数倍且计算稳定.利用站点观测对土壤冻融界面的位置、土壤温度和未冻水含量所进行的模拟验证,进一步表明了该模型的合理性以及应用于陆面过程模式的模拟潜力. 相似文献
10.
西北地区地处欧亚大陆腹地,生态系统对于气候变化和人为影响十分敏感,同时该区也是湿润的东亚季风区与干燥的中亚干旱区的过渡区域,陆气相互作用比较强烈.本文对西北地区植被变化对当地的陆气耦合强度及其与之相关的地表水文过程的影响进行了分析研究,并且找出适于增加植被以缓解西北地区荒漠化趋势的最具成效的地区.本文利用美国国家大气科学研究中心(NCAR,National Center for Atmospheric Research)研制的通用大气模式CAM3(Community Atmosphere Model Version 3)对西北地区植被变化的影响进了数值模拟.本文共设计了三个试验,使用正常地表植被覆盖的参考试验,地表下垫面变为裸土的去植被试验和植被增加的生态环境好转试验.首先,本文对西北地区植被变化对于当地降水量、地表水分盈余量、径流量、地表土壤含水量等地表水文变量的影响进行了分析研究.然后对西北地区植被变化对当地的陆气耦合强度的影响进了分析研究,陆气耦合强度是衡量局地陆气相互作用强弱程度的一个新标准,基于计算年降水量与蒸散量的协方差与降水量方差之比而得到.它利用观测数据或模式输出数据,计算起来简便容易,物理意义明确清晰,陆气相互作用越强烈的地区,其陆气耦合强度也越高.最后,本文计算了一个蒸散-水汽通量散度指数来衡量植被变化对局地蒸散与大气水汽通量散度的影响,其在一定程度上反应了植被变化对局地陆气相互作用和大尺度大气环流输送作用的影响,也可以视为一个评估人为生态环境工程效果的指标.西北地区陆气耦合强度由东南向西北递增.去植被之后,西北地区降水与蒸发普遍减少,其中在东南部区域,地表径流增加约10~40mm,渗流量与地表土壤含水量分别减少约40~80mm和5~20mm3·mm-3,陆气耦合强度上升,这有可能导致水土流失,不利于当地植被的恢复.生态环境好转之后,内陆地区降水与蒸发明显增加,但地表盈余水分有所减少,主要原因是蒸散量相较于降水量增加的更多.其中在沙漠戈壁区边缘的新疆南部与内蒙西部,渗流量与地表土壤含水量分别上升约5~20mm和5~20mm3·mm-3,陆气耦合强度降低,蒸散-水汽通量散度指数较高,这可能主要是由于植被变化对局地陆气相互作用的改变而造成的.植被对于西北地区地表水文过程有着明显的影响,植被的存在能加速西北地区地表水文循环过程,减小陆面蒸散的变化,降低陆气耦合强度.在有限的人力与财力条件下,集中力量在在沙漠戈壁区边缘的新疆南部与内蒙西部适当种植灌木与青草并防止过度放牧,能有效降低当地陆气耦合强度,缓解西北地区荒漠化加剧的趋势.本文下一步还需考虑如模式地表植被数据与真实情况的差异性,海洋因素变化对于植被变化的反馈,以及进行集合实验来增加研究结果的可靠性. 相似文献
11.
对耦合了Noah陆面模式和单层城市冠层模式的WRF(Weather Research and Forecasting)模式系统进行了改进和优化,通过对2010年8月6－7日北京地区晴天个例的模拟试验,检验了优化前后模式系统的模拟能力,分析研究了该个例中城市边界层的特征及日变化.另外,使用优化后的模拟系统通过两组敏感性试验研究了京津城市下垫面对海风的影响.结果表明,优化方案能够显著提高模式系统对该个例的模拟性能,模式系统基本能够模拟出北京夏季边界层的日变化特征,精确的地表使用类型分类等地理信息数据对提高模式预报的准确度有着至关重要的作用,京津城市对海风的发展和推进过程有明显影响,能够阻碍海风的推进、加强风场的水平辐合和垂直上升气流,北京城市下垫面还能在海风到达前增加其强度和推进速度,并在海风经过后延缓其消亡、增加其推进距离. 相似文献
12.
To improve simulations of regional‐scale snow processes and related cold‐season hydroclimate, the Community Land Model version 3 (CLM3), developed by the National Center for Atmospheric Research (NCAR), was coupled with the Pennsylvania State University/NCAR fifth‐generation Mesoscale Model (MM5). CLM3 physically describes the mass and heat transfer within the snowpack using five snow layers that include liquid water and solid ice. The coupled MM5–CLM3 model performance was evaluated for the snowmelt season in the Columbia River Basin in the Pacific Northwestern United States using gridded temperature and precipitation observations, along with station observations. The results from MM5–CLM3 show a significant improvement in the SWE simulation, which has been underestimated in the original version of MM5 coupled with the Noah land‐surface model. One important cause for the underestimated SWE in Noah is its unrealistic land‐surface structure configuration where vegetation, snow and the topsoil layer are blended when snow is present. This study demonstrates the importance of the sheltering effects of the forest canopy on snow surface energy budgets, which is included in CLM3. Such effects are further seen in the simulations of surface air temperature and precipitation in regional weather and climate models such as MM5. In addition, the snow‐season surface albedo overestimated by MM5–Noah is now more accurately predicted by MM5–CLM3 using a more realistic albedo algorithm that intensifies the solar radiation absorption on the land surface, reducing the strong near‐surface cold bias in MM5–Noah. The cold bias is further alleviated due to a slower snowmelt rate in MM5–CLM3 during the early snowmelt stage, which is closer to observations than the comparable components of MM5–Noah. In addition, the over‐predicted precipitation in the Pacific Northwest as shown in MM5–Noah is significantly decreased in MM5–CLM3 due to the lower evaporation resulting from the longer snow duration. Copyright © 2011 John Wiley & Sons, Ltd. 相似文献
13.
为了探究北京城市下垫面对雾天气过程的影响,为北京地区雾数值预报水平的提高提供理论基础和科学依据,选取2011年10月29日北京地区雾天个例进行了数值模拟试验,通过对WRF/Noah/UCM模式系统中城市冠层参数的调整,显著改善了模式对此次雾天气过程的模拟效果.使用参数调整后的模式系统通过敏感性试验分析研究了北京城市下垫面对雾发生、发展和消散过程的影响.结果表明:参数调整后的WRF/Noah/UCM模式系统能够与实际观测较相符地模拟此次发生在北京地区的雾天气过程,北京城市下垫面主要通过对温度的改变对雾的形成、发展和消散产生显著影响,使雾不易在城市及其附近形成和发展,延后城市地区雾的形成,但城市的存在也使得城市地区及其附近雾不易消散,相较于没有城市时消散时间延后. 相似文献
14.
Improvement of the Noah land surface model for warm season processes: evaluation of water and energy flux simulation 总被引：1，自引：0，他引：1
The Noah model is a land surface model of the National Centers for Environmental Prediction. It has been widely used in regional coupled weather and climate models (i.e. Weather Research and Forecasting Model, Eta Mesoscale Model) and global coupled weather and climate models (i.e. National Centers for Environmental Prediction Global Forecast System, Climate Forecast System). Therefore, its continued improvement and development are keys to enhancing our weather and climate forecast ability and water and energy flux simulation accuracy. North American Land Data Assimilation System phase 1 (NLDAS‐1) experiments indicated that the Noah model exhibited substantial bias in latent heat flux, total runoff and land skin temperature during the warm season, and such bias can significantly affect coupled weather and climate models. This paper presents a study to improve the Noah model by adding model parameterization processes such as including seasonal factor on leaf area index and root distribution and selecting optimal model parameters. We compared simulated latent heat flux, mean annual runoff and land skin temperature from the Noah control and test versions with measured latent heat flux, land surface skin temperature, mean annual runoff and satellite‐retrieved land surface skin temperature. The results show that the test version significantly reduces biases in latent heat, total runoff and land skin temperature simulation. The test version has been used for the NLDAS phase 2 (NLDAS‐2) to produce 30‐year water flux, energy flux and state variable products to support the US drought monitor of National Integrated Drought Information System. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
15.
《Acta Geochimica》2021,(3)
Soil salinization is one of the most predominant environmental hazards responsible for agricultural land degradation, especially in the arid and semi-arid regions.An accurate spatial prediction and modeling of soil salinity in agricultural land are so important for farmers and decision-makers to develop the appropriate mechanisms to prevent the loss of fertile soil and increase crop production.El Outaya plain is marked by soil salinity increases due to the excessive use of poor groundwater quality for irrigation. This study aims to compare the performance of simple kriging, cokriging(SCOK), multilayer perceptron neural networks(MLP-NN), and support vector machines(SVM)in the prediction of topsoil and subsoil salinity. The field covariates including geochemical properties of irrigation groundwater and physical properties of soil and environmental covariates including digital elevation model and remote sensing derivatives were used as input candidates to SCOK, MLP-NN, and SVM. The optimal input combination was determined using multiple linear stepwise regression(MLSR). The results revealed that the SCOK using field covariates including water electrical conductivity(ECw) and sand percentage(sand %), and environmental covariates including land surface temperature(LST), topographic wetness index(TWI), and elevation could significantly increase the accuracy of soil salinity spatial prediction. The comparison of the prediction accuracy of the different modeling techniques using the Taylor diagram indicated that MLP-NN using LST, TWI, and elevation as inputs were more accurate in predicting the topsoil salinity [ECs(TS)] with a mean absolute error(MAE) of 0.43, root mean square error(RMSE) of 0.6 and correlation coefficient of 0.946. MLP-NN using ECw and sand % as inputs were more accurate in predicting the subsoil salinity [ECs(SS)] with MAE of 0.38, RMSE of0.6, and R of 0.968. 相似文献
16.
ABSTRACT Ballona Creek watershed in Los Angeles, California provides a unique combination of heterogeneous urban land cover, a semi-arid environment, and a large outdoor water-use flux that presents a challenge for physically-based models. We ran simulations using the Noah Land Surface Model and Parflow-Community Land Model and compared to observations of evapotranspiration (ET), runoff, and land surface temperature (LST) for the entire 11-year study period. Both models were systematically adjusted to test the impact of land cover and urban irrigation on simulation results. Monthly total runoff and ET results are greatly improved when compared to an in-situ stream gauge and meteorological tower data: from 0.64 to 0.81 for the Nash–Sutcliffe efficiency (NSE) for runoff and from a negative NSE to 0.82 for ET. The inclusion of urban irrigation in semi-arid urban environments is found to be vital, but not sufficient, for the accurate simulation of variables in the studied models. 相似文献
17.
The numerical modeling of the impacts of urban buildings in mesoscale meteorological models has gradually improved in recent years. Correctly representing the latent heat flux from urban surfaces is a key issue in urban land-atmosphere coupling studies but is a common weakness in current urban canopy models. Using the surface energy balance data at a height of 140 m from a 325 m meteorological tower in Beijing, we conducted a 1-year continuous off-line simulation by using a coupled land surface model and a single-layer urban canopy model and found that this model has a relatively large systematic error for simulated latent heat flux. To improve the numerical method for modeling latent heat flux from urban surfaces, we combined observational analysis and urban land surface model to derive an oasis effect coefficient for urban green areas; to develop a temporal variation formula for water availability in urban impervious surfaces; and to specify a diurnal profile and the maximum values of anthropogenic latent heat release for four seasons. These results are directly incorporated into the urban land surface model to improve model performance. In addition, this method serves as a reference for studies in other urban areas. 相似文献
18.
Wenling Chen Jianjun Wang Yanfeng Liu Menggui Jin Xing Liang Zaimin Wang Ty P. A. Ferré 《水文研究》2021,35(7):e14290
Accurate estimation of groundwater recharge (GR) and evapotranspiration (ET) are essential for sustainable management of groundwater resources, especially in arid and semi-arid regions. In the Manas River Basin (MRB), water shortage is the main factor restricting sustainable development of irrigated agriculture, which relies heavily on groundwater. Film-mulched drip irrigation significantly changes the pattern and dominant processes of water flow in the unsaturated zone, which increases the difficulty of GR and ET estimation. To better estimate GR and ET under film-mulched drip irrigation in the MRB, bromide tracer tests and soil lithologic investigation were conducted at 12 representative sites. A one-dimensional variably saturated flow model (HYDRUS-1D) was calibrated at each site using soil evaporation data inferred from the bromide tracer tests. The results showed that average annual soil evaporation in uncultivated lands calculated from bromide trace tests was 25.55 mm. The annual GR ranged from 5.5 to 37.0 mm under film-mulched drip irrigation. The annual ET ranged from 507.0 to 747.1 mm, with soil evaporation between 35.7 and 117.0 mm and transpiration between 460.9 and 642.3 mm. Soil evaporation represented 7% to 16% of the total ET and more than 70% of precipitation and irrigation water was used by cotton plants. Spatial variations of soil lithology, water table depth and initial soil water content led to the spatial differences of GR and ET in the MRB. Our study indicated that bromide tracer tests are useful for inferring ET in the arid and semi-arid oases. The combination of bromide tracer tests and HYDRUS-1D enhances reliability for estimation of GR and ET under film-mulched drip irrigation in the MRB and shows promise for other similar arid inland basins around the world. 相似文献
19.
FengFeng Zheng ChuanLun Zhang YuFei Chen FuYan Li CenLing Ma Yang Pu YuanQing Zhu YongLi Wang WeiGuo Liu 《中国科学:地球科学(英文版)》2016,59(7):1353-1367
The ubiquitous occurrence of branched glycerol dialkyl glycerol tetraethers(br GDGTs) in soils has allowed development of new proxies for reconstruction of past climate and environment. The methylation and cyclization degrees of br GDGTs, expressed as MBT and CBT, respectively, are reported to be mainly controlled by mean annual air temperature(MAAT) and soil p H. However, the br GDGT-derived temperatures and soil p H scatter widely when data from different environmental conditions are considered. In this study, we collected over 300 soil samples from China, which are representative of humid(Xishuangbanna, Guangzhou, and Shanghai), semi-arid(Dongying) and semi-arid/arid(Lanzhou, Tibetan Plateau) regions. Collectively we have the most extensive dataset that broadly characterizes the distribution of br GDGTs according to climate zones in China. The overall data demonstrate that the MBT/CBT derived temperatures better match the measured MAATs in humid and non-alkaline regions than those from regions of low MAP(400 mm/yr) and above neutral soil p H(7.0–7.5). Similarly, CBT describes soil p H much better in humid and non-alkaline soils than in semi-arid/arid and alkaline soils; the semi-arid/arid and alkaline soils tend to show a positive correlation between soil p H and CBT, which contradicts that in the humid and non-alkaline soils. While soil p H, MAAT and mean annual precipitation(MAP) are dominating factors controlling the br GDGT distribution across all climate zones, conductivity, total organic carbon and total nitrogen, as well as soil water content can also play an important role locally. Removing br GDGT-II resulted in a revised CBT index that provides more accurate estimation of p H, especially in semi-arid/arid and alkaline soils. The overall Chinese dataset demonstrates that continental air temperature derived from br GDGT-proxies can vastly deviate from real measurements and should be used with extreme caution in paleo-climate or-environment studies. 相似文献