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1.
未来不同气候变化情景下我国玉米产量的初步预测 总被引：21，自引：0，他引：21
玉米是我国重要的粮食和饲料作物,研究气候变化对我国玉米产量的影响有重要意义。采用区域气候模式与CERES Maize模型相结合的方法,模拟了基准气候（BS,1961—1990年）和A2、B2两种温室气体排放方案下2011—2100年我国雨养和灌溉玉米产量,初步预测了未来不同气候情景下玉米产量的变化状况。结果表明,如果保持现有的玉米生产状况,气候变化将导致我国玉米主产区的玉米单产普遍降低,总产下降,给玉米生产带来一定经济损失。A2气候变化情景对我国玉米产量的负面影响要大于B2情景。CO2肥效作用可以在一定程度上缓解这种负面影响,其缓解作用对雨养玉米更明显。未来全国玉米主产区的雨养和灌溉玉米的稳产风险及低产出现的概率将会增大,总产的年际波动更剧烈。由于目前研究结果是未考虑农业生产的适应措施而得出的,可能会高估气候变化的负面影响。 相似文献
2.
The growing concern for health‐related problems deriving from pollutants leaching is driving national and international administrations to support the development of tools for evaluating the effects of alternate management scenarios and identifying vulnerable areas. Cropping systems models are powerful tools for evaluating leachates under different environmental, social, and management conditions. As percolating water is the transport vehicle for pollutants transport in soil, a reliable evaluation of water balance models is a fundamental prerequisite for investigating pesticides and nitrate fate. As specific approaches for the evaluation of multi‐layer evolution of state variables are missing, we propose a fuzzy‐based, integrated indicator (ISWC: 0, best; 1, worst) for a comprehensive evaluation of soil water content (SWC) simulations. We aggregated error metrics with others quantifying the homogeneity of errors across different soil layers, the capability of models to reproduce complex dynamics function of both time and soil depth, and model complexity. We tested ISWC on a sample dataset where the models CropSyst and CERES‐Wheat were used to simulate SWC for winter wheat systems. ISWC revealed that, in the explored conditions, the global assessment of the two models' performances allowed identification of CropSyst as the best (average ISWC = 0·441, with a value of 0·537 obtained by CERES‐Wheat), although each model prevailed for some of the metrics. CropSyst presented the highest accuracy (average agreement module = 0·400), whereas CERES‐Wheat's accuracy was slightly worse, although achieved with a simplified modelling approach (average Akaike Information Criterion = − 230·44), thereby favouring large‐area applicability. The non‐univocal scores achieved by the models for the different metrics support the use of multi‐metric evaluation approaches for quantifying the different aspects of water balance model performances. Copyright © 2010 John Wiley & Sons, Ltd. 相似文献
3.
两种反演地表净太阳辐射的参数化模式在北京地区的比较 总被引：1，自引：0，他引：1
地表净太阳辐射(NSSR)在地表辐射平衡、地-气能量交换、天气预报、气候变化和太阳能利用等研究方面具有重要的作用.利用卫星遥感技术能在广大的空间区域内快速地获取地表净太阳辐射的分布情况,特别是在无人观测的极地和海洋区域.本文基于CERES/SSF卫星数据,分别采用两种地表净太阳辐射(NSSR)的卫星反演参数化模式--Li模式与Masuda模式计算了北京市上甸子地区2005年1、4、7和10月的NSSR,并将反演结果与上甸子大气本底站的实测结果进行了对比分析,并对两种模式进行了修正以更好地反演北京地区的地表净太阳辐射.结果显示:Li模式和Masuda模式反演结果与实测结果间的平均绝对误差在晴空条件下分别为62.2和50.8W/m2,在云天条件下分别为82.1和71.8 W/m2;Li模式相对于Masuda模式具有偏大的趋势,在晴天和云天条件下两者的平均绝对偏差分别为11.5和10.2 W/m2;对Li模式和Masuda模式进行线性拟合回归后能有效减小反演过程中的系统性偏差,修改后的Li模式和Masuda模式在所有天空状况下反演的月平均NSSR值与观测值问的平均绝对误差分别为-1.8和-3.4 W/m2,均方根误差分别为19.6和26.0 W/m2. 相似文献
4.
基于MODTRAN模式与卫星资料的晴空净太阳辐射模拟 总被引：2，自引：0，他引：2
探讨了中分辨率大气辐射传输模式MODTRAN4.0与卫星资料同化在模拟净太阳辐射中的应用,并利用CERES卫星资料作为MODTRAN模式输入参数,对2005年北京上甸子进行了晴空下的地表净太阳辐射模拟与比较。结果表明:利用MODTRAN4.0模式和CERES卫星资料可以较为精确地模拟晴空天气下的净太阳辐射,平均绝对误差为25.74 W/m2,平均相对误差为4.98%。此外,对净太阳辐射的影响因子的研究表明:太阳天顶角、反照率、水汽含量、大气光学厚度与臭氧浓度等因子与净太阳辐射均呈负相关关系,且太阳天顶角与反照率影响较大,其余因子影响较小。 相似文献
5.
To assess the performances of state-of-the-art global climate models on simulating the Arctic clouds and surface radiation balance, the 2001–2014 Arctic Basin surface radiation budget, clouds, and the cloud radiative effects(CREs) in 22 coupled model intercomparison project 6(CMIP6) models are evaluated against satellite observations. For the results from CMIP6 multi-model mean, cloud fraction(CF) peaks in autumn and is lowest in winter and spring, consistent with that from three satellite observation products(Cloud Sat-CALIPSO, CERESMODIS, and APP-x). Simulated CF also shows consistent spatial patterns with those in observations. However,almost all models overestimate the CF amount throughout the year when compared to CERES-MODIS and APP-x.On average, clouds warm the surface of the Arctic Basin mainly via the longwave(LW) radiation cloud warming effect in winter. Simulated surface energy loss of LW is less than that in CERES-EBAF observation, while the net surface shortwave(SW) flux is underestimated. The biases may result from the stronger cloud LW warming effect and SW cooling effect from the overestimated CF by the models. These two biases compensate each other,yielding similar net surface radiation flux between model output(3.0 W/m~2) and CERES-EBAF observation(6.1 W/m~2). During 2001–2014, significant increasing trend of spring CF is found in the multi-model mean,consistent with previous studies based on surface and satellite observations. Although most of the 22 CMIP6 models show common seasonal cycles of CF and liquid water path/ice water path(LWP/IWP), large inter-model spreads exist in the amounts of CF and LWP/IWP throughout the year, indicating the influences of different cloud parameterization schemes used in different models. Cloud Feedback Model Intercomparison Project(CFMIP)observation simulator package(COSP) is a great tool to accurately assess the performance of climate models on simulating clouds. More intuitive and credible evaluation results can be obtained based on the COSP model output. In the future, with the release of more COSP output of CMIP6 models, it is expected that those inter-model spreads and the model-observation biases can be substantially reduced. Longer term active satellite observations are also necessary to evaluate models' cloud simulations and to further explore the role of clouds in the rapid Arctic climate changes. 相似文献
6.
一种改进的土壤水分平衡模式 总被引：7，自引：0，他引：7
将美国学者,Ｊ．Ｔ．Ｒｉｔｃｈｉｅ等研制的作物生长模拟模式（ＣＥＲＥＳ－小麦模式）中的土壤水分平衡子模式应用于我国半干旱地区甘肃省西峰市农业气象试验站固定地块麦地土壤水分的模拟,对原有模式中潜在蒸散、地表蒸发和作物蒸腾加以修正,同时,为增强模式的应用性能,引入一种由作物生育期来估算作物根系最大深度和土壤各层相对根密度的方法。改进后的土壤水分平衡模式取得较好的应用效果,为旱地农田土壤水分管理提供了一 相似文献
7.
Rezaul Mahmood Mark Meo David R. Legates Mark L. Morrissey 《The Professional geographer》2003,55(2):259-273
Agricultural practices in Bangladesh are largely dependent on the monsoonal rainfall. Historically, Bangladesh often experiences severe droughts and floods during the monsoon months, with significant crop losses during both extreme conditions. This article provides a quantitative assessment of potential monsoon‐season aman rice for four transplanting dates: 1 June, 1 July, 15 July, and 15 August. A crop‐growth simulation model, the CERES‐Rice, is applied to sixteen locations representing major rice‐growing regions of Bangladesh to determine baseline yield estimates for four transplanting dates. The applications were conducted for 1975 through 1987. Average potential yield in Bangladesh is 6,907, 5,039, 3,637, and 1,762 kg ha?1 for the above transplanting dates, respectively. In other words, Bangladesh would obtain 27 percent, 48 percent, and 75 percent less yield for 1 July, 15 July, and 15 August transplanting, respectively, than for 1 June transplanting. Potential yield vulnerability is the least for 1 June transplanting (up to 5 percent) and the highest (up to 66 percent) for 15 July transplanting date. The model applications show that regional variations exist for potential yield and yield vulnerability for a particular transplanting date. In addition, response of yield and vulnerability for a region changes with transplanting dates. 相似文献
8.
论文利用2017年东疆哈密地区红柳河黑戈壁地面高精度紫外辐射实测数据与美国NASA Langely研究中心大气科学数据中心提供的CERES_SYN1 deg_Ed4A产品数据,对卫星反演的紫外辐射A、B波段(UVA和UVB)数据在该地区的适用性进行了对比验证。结果表明：① 在日尺度上,该地区地面实测紫外辐射UVA和UVB与卫星反演数据之间的相关系数达0.9以上,其中在全天空情况下UVA平均偏差为1.15 W·m -2、UVB 平均偏差为0.03 W·m -2,晴天条件下UVA和UVB的平均偏差分别为0.93 W·m -2和0.03 W·m -2;② 在季节尺度上,实测和卫星反演UVA和UVB的偏差夏季最大,分别为2.04 W·m -2和0.05 W·m -2,春冬两季次之,秋季最小;③ 红柳河地区在春夏两季受到气溶胶光学厚度(AOD)影响较大,呈现显著负相关;④ 云量越大,紫外辐射削弱程度越大,在多云条件下地面实测与卫星反演UVA与UVB偏差最大,分别为1.73 W·m -2和0.05 W·m -2。 相似文献
9.
准确估算青藏高原的云辐射效应,对分析该地区的近地面感热通量十分重要。本文首先利用加权平均方法,分别将中分辨率成像光谱仪(MODIS)、测云雷达(CPR)和云与地球辐射能量系统(CERES)的像元数据进行融合。利用这些数据,分析了青藏高原上多云个例(2017年5月5日)与少云个例(2017年8月2日)情况下的可见光通道和热红外通道的信号、云参数和大气长短波辐射强迫等的差异。研究表明,少云时高原地区的大气顶大气长波辐射强迫为108.3 W·m-2,多云时为104.5 W·m-2。同时少云个例中塔里木盆地的大气顶大气长波辐射强迫为200.7 W·m-2,表明该辐射强迫受到地表热力状况影响较大。深厚与浅薄云区的云顶高度相差不大,但多云个例中深厚云区的短波辐射强迫是浅薄云区的2倍多,这一比例远大于长波。这表明短波辐射强迫对云厚度较敏感。最后,本文分析了CERES观测的大气顶长短波辐射分别与MODIS热红外和可见光通道之间的关系,结果表明它们存在很好的相关性(相关系数超过0.95),MODIS的可见光通道可以用于估算大气顶的短波辐射量,而MODIS的热红外通道只可用来估算云区的大气顶长波辐射量。 相似文献
10.
利用2001年11月—2005年10月"云与地球辐射能量系统(CERES)"辐射和云资料SYN(Syn-optic Radiation Fluxes and Clouds),分析了青藏高原(下称高原)地区不同高度云辐射强迫的时空变化特征。结果表明:(1)高原整体为云强迫正、负值的过渡区域,这种过渡性有显著的季节差异和区域划分。高原东南部表现出较强的冷却效应,其西部和东北部干旱区在冬、春季表现为较弱的加热效应。(2)高云、高的中云和低的中云对云短波辐射强迫的季节变化都有贡献,其中中云是导致区域差异的主要因素;云长波辐射强迫的区域差异不明显,但季节差异显著,这主要是由高的中云和高云的变化引起的,且云量是主要的影响因子,高云云量虽小但其影响不可忽视。(3)高云在高原地区产生净加热效应,高的中云既产生加热作用也产生冷却作用,低的中云产生净冷却效应。(4)云短波辐射强迫在云辐射强迫的日变化中仍然占主导地位,日变化的区域差异主要是由云量引起的。白天,在云短波辐射强迫的日变化中,低的中云贡献更大。高云对云长波辐射强迫的日变化贡献主要在晚上,低的中云在夜间对云长波辐射强迫有抑制作用。 相似文献