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Influences of agricultural phenology dynamic on land surface biophysical process and climate feedback

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Journal of Geographical Sciences 2017年第9期27卷 1085-1099页

作者： LIU Fengshan CHEN Ying SHI Wenjiao ZHANG Shuai TAO Fulu GE Quansheng Key Laboratory of Land Surface Pattern and Simulation Institute of Geographic Sciences and Natural Re- sources Research CAS Beijing 100101 China Fujian Agriculture and Forestry University Fuzhou 350002 China College of Resources and Environment University of Chinese Academy of Sciences Beijing 100049 China

Response and feedback of land surface research priorities in the field of geoscience. The process to climate change is one of the current study paid more attention to the impacts of global change on land surface process, but the feedback of land surface process to climate change has been poorly understood. It is becoming more and more meaningful under the framework of Earth system science to understand systematically the relationships between agricultural phenology dynamic and biophysical process, as well as the feedback on climate. In this paper, we summarized the research progress in this field, including the fact of agricultural phenology change, parameterization of phenology dynamic in land surface progress model, the influence of agricultural phenology dynamic on biophysical process, as well as its feedback on climate. The results showed that the agriculture phenophase, represented by the key phenological phases such as sowing, flowering and maturity, had shifted significantly due to the impacts of climate change and agronomic management. The digital expressions of land surface dynamic process, as well as the biophysical process and atmospheric process, were improved by coupling phenology dynamic in land surface model. The agricultural phenology dynamic had influenced net radiation, latent heat, sensible heat, albedo, temperature, precipitation, circulation, playing an important role in the surface energy partitioning and climate feedback. Considering the importance of agricultural phenology dynamic in land surface biophysical process and climate feedback, the following research priorities should be stressed：（1） the interactions between climate change and land surface phenology dynamic; （2） the relations between agricultural phenology dynamic and land surface reflectivity at different spectrums; （3） the contributions of crop physiology characteristic changes to land surface biophysical process; （4） the regional differences of climate feedbacks from phenology d

关键词： agricultural phenology land surface biophysical process land surface process model climate feedback

Misdiagnosis of Earth climate sensitivity based on energy balance model results

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Science Bulletin 2015年第15期60卷 1370-1377页

作者： Mark Richardson Zeke Hausfather Dana A.Nuccitelli Ken Rice John P.Abraham Department of Meteorology University of Reading climate Physics Section Jet Propulsion Laboratory California Institute of Technology Energy and Resources Group University of CaliforniaBerkeley Skeptical Science Brisbane Institute for Astronomy Royal Observatory University of Edinburgh School of Engineering University of St. Thomas St. Paul

Monckton of Brenchley et al.(Sci Bull60:122–135, 2015)(hereafter called M15) use a simple energy balance model to estimate climate response. They select parameters for this model based on semantic arguments, leading to different results from those obtained in physics-based studies. M15 did not validate their model against observations, but instead created synthetic test data based on subjective assumptions. We show that M15 systematically underestimate warming: since 1990, most years were warmer than their modelled upper limit. During 2000–2010, RMS error and bias are approximately 150 % and 350 % larger than for the CMIP5 median, using either the Berkeley Earth or Cowtan and Way surface temperature data. We show that this poor performance can be explained by a logical flaw in theparameter selection and that selected parameters contradict observational estimates. M15 also conclude that climate has a near-instantaneous response to forcing, implying no net energy imbalance for the Earth. This contributes to their low estimates of future warming and is falsified by Argo float measurements that show continued ocean heating and therefore a sustained energy imbalance. M15's estimates of climate response and future global warming are not consistent with measurements and so cannot be considered credible.

关键词： climate sensitivity Global warming climate change climate model climate feedback

Connection Between Atmospheric Latent Energy and Energy Fluxes Simulated by Nine CMIP5 Models

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Journal of Meteorological Research 2015年第3期29卷 412-431页

作者：韩博吕世华李瑞青奥银焕陈昊高艳红马迪 Key Laboratory of Land Surface Process and climate Change in Cold and Arid Regions Cold and Arid Regions Environmental and Engineering Research InstituteChinese Academy of Sciences

The atmospheric latent energy and incoming energy fluxes of the atmosphere are analyzed here based on the historical simulations of nine coupled models from the Coupled Model Intercomparison Project Phase 5 （CMIP5） and two reanalysis datasets. The globally averaged atmospheric latent energy is found to be highly correlated with several types of energy flux, particularly the surface latent heat flux, atmosphere absorbed solar radiation flux, and surface net radiation flux. On the basis of these connections, a hydrological cycle controlled feedback （HCCF） is hypothesized. Through this feedback, the atmosphere absorbed solar radiation is enhanced and causes intensification of the surface latent heat flux when the atmospheric latent energy is abnormally strong. The representativeness of the HCCF during different periods and over different latitudinal zones is also discussed. Although such a feedback cannot be confirmed by reanalysis, it proves to be a common mechanism for all the models studied.

关键词： atmospheric latent energy CMIP5 hydrological cycle climate feedback