Interactions Between Land Surface and Climate PDF Download

Author: Bo Huang
Publisher: Frontiers Media SA
ISBN: 2832519431
Category : Science
Languages : en
Pages : 124

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Author: E.F. Wood
Publisher: Springer Science & Business Media
ISBN: 9400921551
Category : Science
Languages : en
Pages : 302

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Book Description
It is well known that the interactions between land surfaces and the atmosphere, and the resulting exchanges in water and energy have a tremendous affect on climate. The inadequate representation of land-atmosphere interactions is a major weakness in current climate models, and is providing the motivation for the HAPEX and ISLSCP experiments as well as the proposed Global Energy and Water Experiment (GEWEX) and the Earth Observing System (EOS) mission. The inadequate representation reflects the recognition that the well-known phys ical relationships, which are well described at small scales, result in different relationships when represented at the scales used in climate models. Understanding this transition in the mathematical relationships with increased space-time scales appears to be very difficult, and has led to different approaches; at one extreme, the famous "bucket" model where the land-surface is a simple one layer storage without vegetation; the other extreme may be Seller's Simple Biosphere Model (Sib) where one big leaf covers the climate model grid. Given the heterogeneous nature of landforms, soils and vegetation within a climate model grid, the development of new land surface parameterizations, and their verification through large scale experiments is perceived to be a challenging area of research for the hydrology and meteorology communities. This book evolved from a workshop held at Princeton University to explore the status of land surface parameterizations within climate models, and how observa tional data can be used to assess these parameterizations and improve models.

Author: E. F. Wood
Publisher:
ISBN: 9789400921566
Category :
Languages : en
Pages : 328

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Author: Almudena García García
Publisher:
ISBN:
Category :
Languages : en
Pages :

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The interactions between the lower atmosphere and the land surface are associated with weather and climate phenomena such as the duration, frequency and intensity of extreme temperature and precipitation events. Thus, the representation of land- atmosphere interactions in climate model simulations is crucial for projecting future changes in the statistics of extreme events as realistically as possible. Given the importance of the land-atmosphere interaction, the purpose of the thesis is to evaluate climate simulations performed by General Circulation Models (GCMs) and Regional Climate Models (RCMs) and examine the role of the Land Surface Model (LSM) component and the horizontal resolution over North America. For this purpose, I analyze a large set of simulations from GCMs and RCMs used by the fifth assessment report of the Intergovernmental Panel on Climate Change (IPCC) as well as my own simulations performed by the Weather Research and Forecasting (WRF) model. Results show that GCM simulations present large uncertainties in the representation of land-atmosphere interactions in comparison with observations. This work also reveals a dependence of the simulated land-atmosphere interactions on the LSM components used in regional and global simulations. Additionally, the LSM component is identified as an important source of uncertainty in the simulation of extreme temperature and precipitation events. Increasing the horizontal resolution also affects the simulation of land-atmosphere interactions, which lead to the intensification of precipitation, evapotranspiration and soil moisture at low latitudes; that is increased latent heat flux, soil moisture, and precipitation. The impact of both factors, horizontal resolution and the LSM, is larger in summer in agreement with the summer intensification of land-atmosphere interactions reported in the literature. The comparison of model simulations and observations indicates that the use of the most comprehensive LSM component available in WRF, the Community Land Model version 4 (CLM4), leads to a better representation of temperature climatologies. In contrast, finer horizontal resolutions are associated with larger biases in the WRF simulation of precipitation climatology, due to the overestimation of precipitation in the WRF model. Due to the large effect of the LSM component on the simulation of near-surface conditions shown in this dissertation, the use of simple version of LSM component in GCMs, RCMs or reanalyses can be an important limitation in climate simulations and reanalysis products.

Author: Ram Babu Singh
Publisher:
ISBN:
Category : Business & Economics
Languages : en
Pages : 320

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This text aims to promote a better understanding of land use and land-cover change in the assessment and management of global environmental resources, and to develop a comparative framework for assessing these changes.

Author: Yaoming Ma
Publisher: Mdpi AG
ISBN: 9783036565156
Category : Science
Languages : en
Pages : 0

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This book is focused on recent advances in land-atmosphere interactions and their effects on climate change over the Tibetan Plateau and surrounding regions using multisource remote sensing data and in situ measurements. Retrieval of land surface variables and surface heat fluxes as well as change monitoring in snow, glaciers, lakes, and other land-surface covers are of particular interest. Special attention is given to the retrieval of land-surface key properties, variations in land-surface heat fluxes, estimation of precipitation and evapotranspiration, change monitoring of glacier and lakes, the responses of lakes to climate change, carbon, water and heat exchange in terrestrial ecosystems, risk assessment of snow disasters, estimation of turbulence characteristics, and vegetation dynamics and its response to weather and climate. This book was funded by the Second Tibetan Plateau Scientific Expedition and Research Program (Grant No. 2019QZKK0103); National Natural Science Foundation of China (Grant No. 42230610, 91837208, 41875031).

Author: Marika Koukoula
Publisher:
ISBN:
Category :
Languages : en
Pages : 0

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Precipitation-driven hydrometeorological hazards such as floods, droughts, and landslides have significant socioeconomic impacts. Understanding the complex interaction of precipitation with land surface processes and climate characteristics is, therefore, imperative for improving predictability of these extreme events. Soil moisture is an important hydrological state variable playing a crucial role in land-atmosphere interactions as it affects both precipitation and runoff generation. In this work we investigate the impact of soil moisture uncertainty on simulated precipitation from Numerical Weather Prediction models under different climate and meteorological conditions. We then assess the combined effects of soil moisture on precipitation and the antecedent wetness conditions of the basin on the rainfall-to-runoff transformation process driving the catchment flood response under different basin scales and meteorological conditions. The study elucidate the complexity of the relationship between soil moisture and precipitation, suggesting that the control of soil water content on partitioning land surface heat fluxes has significant impacts on both the magnitude and spatial distribution of simulated precipitation. Results indicate different characteristics of the soil moisture-precipitation relationship during the cold and warm periods and under different climate and meteorological conditions. It is also shown that soil moisture affects runoff directly, changing the saturation level of the soil, and indirectly, through the impact on the magnitude and spatial distribution of precipitation. The combination of these two mechanisms results into high sensitivity of runoff generation, in terms of peak flow and runoff volume, on antecedent wetness. It is shown that this relationship between soil moisture and runoff varies under different antecedent wetness conditions, basin scales and soil characteristics.

Author: Majeti Narasimha Var Prasad
Publisher: Elsevier
ISBN: 0128180331
Category : Science
Languages : en
Pages : 840

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Book Description
Climate Change and Soil Interactions examines soil system interactions and conservation strategies regarding the effects of climate change. It presents cutting-edge research in soil carbonization, soil biodiversity, and vegetation. As a resource for strategies in maintaining various interactions for eco-sustainability, topical chapters address microbial response and soil health in relation to climate change, as well as soil improvement practices. Understanding soil systems, including their various physical, chemical, and biological interactions, is imperative for regaining the vitality of soil system under changing climatic conditions. This book will address the impact of changing climatic conditions on various beneficial interactions operational in soil systems and recommend suitable strategies for maintaining such interactions. Climate Change and Soil Interactions enables agricultural, ecological, and environmental researchers to obtain up-to-date, state-of-the-art, and authoritative information regarding the impact of changing climatic conditions on various soil interactions and presents information vital to understanding the growing fields of biodiversity, sustainability, and climate change. - Addresses several sustainable development goals proposed by the UN as part of the 2030 agenda for sustainable development - Presents a wide variety of relevant information in a unique style corroborated with factual cases, colour images, and case studies from across the globe - Recommends suitable strategies for maintaining soil system interactions under changing climatic conditions

Author: Jiangfeng Wei
Publisher:
ISBN:
Category : Plant-atmosphere relationships
Languages : en
Pages :

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Land-atmosphere interaction includes complex feedbacks among radiative, hydrological, and ecological processes, and the understanding of it is hindered by many factors such as the heterogeneity of land surface properties, the chaotic nature of the atmosphere, and the lack of observational data. In this study, several different methods are used to investigate the land-atmosphere interaction processes and their relationship with climate variability. Firstly, a simple one-dimensional model is developed to simulate the dominant soil-vegetation-atmosphere interaction processes in the warm climate. Although the physical processes are described coarsely, the model can be more easily used to find some relationships which may be drown out or distorted by noise. The influence of land on climate variability mainly lies in it memory, which is greatly related with the atmospheric forcing, so this model is used to investigate the influence of different forcing strengths on land-atmosphere interaction and its difference at different land covers. The findings from the simple model can provide guidance for other studies. The second part of the study compares a lagged soil moisture-precipitation (S-P) correlation (soil moisture in current day and precipitation in future 30 days) in three atmospheric reanalysis products (ERA-40, NCEP/DOE reanalysis-2, and North American Regional Reanalysis (NARR)), Global Soil Wetness Project Phase 2 (GSWP-2) data, and NCAR CAM3 simulations. Different datasets and model simulations come to a similar negative-dominant S-P correlation pattern. This is different from the traditional view that the soil moisture should have positive influence on future precipitation. Further analysis shows that this correlation pattern is not caused by the soil moisture feedback but due to the combined effect of the precipitation oscillation and the memory of soil moisture. Theoretical analysis confirms the above results and finds that the precipitation time series with the strongest oscillation at 32-60 day period is most likely to induce a significantly negative S-P correlation, and regions with longer soil water retention time are more likely to have a significantly negative S-P correlation. This study illustrates that a lagged correlation does not always indicate a causal relation.

Author: Mikhail Ivanovich Budyko
Publisher:
ISBN:
Category : Atmospheric temperature
Languages : en
Pages : 278

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