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Journal articles on the topic 'Vegetation-Atmosphere System'

Author: Grafiati

Published: 31 August 2024

Last updated: 31 July 2025

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1

Vella, Ryan, Matthew Forrest, Jos Lelieveld, and Holger Tost. "Isoprene and monoterpene simulations using the chemistry–climate model EMAC (v2.55) with interactive vegetation from LPJ-GUESS (v4.0)." Geoscientific Model Development 16, no. 3 (2023): 885–906. http://dx.doi.org/10.5194/gmd-16-885-2023.

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Abstract. Earth system models (ESMs) integrate previously separate models of the ocean, atmosphere and vegetation into one comprehensive modelling system enabling the investigation of interactions between different components of the Earth system. Global isoprene and monoterpene emissions from terrestrial vegetation, which represent the most important source of volatile organic compounds (VOCs) in the Earth system, need to be included in global and regional chemical transport models given their major chemical impacts on the atmosphere. Due to the feedback of vegetation activity involving intera

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2

Port, U., and M. Claussen. "Stability of the vegetation–atmosphere system in the early Eocene climate." Climate of the Past Discussions 11, no. 3 (2015): 1551–78. http://dx.doi.org/10.5194/cpd-11-1551-2015.

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Abstract. We explore the stability of the atmosphere–vegetation system in the warm, almost ice-free early Eocene climate and in the interglacial, pre-industrial climate by analysing the dependence of the system on the initial vegetation cover. The Earth system model of the Max Planck Institute for Meteorology is initialised with either dense forests or bare deserts on all continents. Starting with desert continents, an extended desert remains in Central Asia in early Eocene climate. Starting with dense forest coverage, this desert is much smaller because the initially dense vegetation cover en

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3

Yoshioka, H. "Vegetation Isoline Equations for an Atmosphere–Canopy–Soil System." IEEE Transactions on Geoscience and Remote Sensing 42, no. 1 (2004): 166–75. http://dx.doi.org/10.1109/tgrs.2003.817793.

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4

Kleidon, A., K. Fraedrich, and C. Low. "Multiple steady-states in the terrestrial atmosphere-biosphere system: a result of a discrete vegetation classification?" Biogeosciences 4, no. 5 (2007): 707–14. http://dx.doi.org/10.5194/bg-4-707-2007.

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Abstract. Multiple steady states in the atmosphere-biosphere system can arise as a consequence of interactions and positive feedbacks. While atmospheric conditions affect vegetation productivity in terms of available light, water, and heat, different levels of vegetation productivity can result in differing energy- and water partitioning at the land surface, thereby leading to different atmospheric conditions. Here we investigate the emergence of multiple steady states in the terrestrial atmosphere-biosphere system and focus on the role of how vegetation is represented in the model: (i) in ter

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Kleidon, A., K. Fraedrich, and C. Low. "Multiple steady-states in the terrestrial atmosphere-biosphere system: a result of a discrete vegetation classification?" Biogeosciences Discussions 4, no. 1 (2007): 687–705. http://dx.doi.org/10.5194/bgd-4-687-2007.

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Abstract. Multiple steady states in the atmosphere-biosphere system can arise as a consequence of interactions and positive feedbacks. While atmospheric conditions affect vegetation productivity in terms of available light, water, and heat, different levels of vegetation productivity can result in differing energy- and water partitioning at the land surface, thereby leading to different atmospheric conditions. Here we investigate the emergence of multiple steady states in the terrestrial atmosphere-biosphere system and focus on the role of how vegetation is represented in the model: (i) in ter

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6

Wang, Fuyao, Michael Notaro, Zhengyu Liu, and Guangshan Chen. "Observed Local and Remote Influences of Vegetation on the Atmosphere across North America Using a Model-Validated Statistical Technique That First Excludes Oceanic Forcings*." Journal of Climate 27, no. 1 (2014): 362–82. http://dx.doi.org/10.1175/jcli-d-13-00080.1.

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Abstract The observed local and nonlocal influences of vegetation on the atmosphere across North America are quantified after first removing the oceanic impact. The interaction between vegetation and the atmosphere is dominated by forcing from the atmosphere, making it difficult to extract the forcing from vegetation. Furthermore, the atmosphere is not only influenced by vegetation but also the oceans, so in order to extract the vegetation impact, the oceanic forcing must first be excluded. This study identified significant vegetation impact in two climatically and ecologically unique regions:

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7

Yang, Peiqi, Wout Verhoef, and Christiaan van der van der Tol. "Unified Four-Stream Radiative Transfer Theory in the Optical-Thermal Domain with Consideration of Fluorescence for Multi-Layer Vegetation Canopies." Remote Sensing 12, no. 23 (2020): 3914. http://dx.doi.org/10.3390/rs12233914.

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Vegetation radiative transfer models (RTMs) are important tools to understand biosphere-atmosphere interactions. The four-stream theory has been successfully applied to solve the radiative transfer problems in homogeneous canopies for both incident solar radiation, thermal and fluorescence emission since 1984. In this note, we describe the development of a unified radiative transfer theory for optical scattering, thermal and fluorescence emission in multi-layer vegetation canopy, and provide a detailed mathematical derivation for the fluxes inside and leaving the canopy. This theory can be use

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8

Calvet, Jean-Christophe, Patricia de Rosnay, and Stephen G. Penny. "Editorial for the Special Issue “Assimilation of Remote Sensing Data into Earth System Models”." Remote Sensing 11, no. 18 (2019): 2177. http://dx.doi.org/10.3390/rs11182177.

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This Special Issue is a collection of papers reporting research on various aspects of coupled data assimilation in Earth system models. It includes contributions presenting recent progress in ocean–atmosphere, land–atmosphere, and soil–vegetation data assimilation.

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9

Delire, Christine, Nathalie de Noblet-Ducoudré, Adriana Sima, and Isabelle Gouirand. "Vegetation Dynamics Enhancing Long-Term Climate Variability Confirmed by Two Models." Journal of Climate 24, no. 9 (2011): 2238–57. http://dx.doi.org/10.1175/2010jcli3664.1.

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Abstract Two different coupled climate–vegetation models, the Community Climate Model version 3 coupled to the Integrated Biosphere Simulator (CCM3–IBIS) and the Laboratoire de Météorologie Dynamique’s climate model coupled to the Organizing Carbon and Hydrology in Dynamic Ecosystems model (LMDz–ORCHIDEE), are used to study the effects of vegetation dynamics on climate variability. Two sets of simulations of the preindustrial climate are performed using fixed climatological sea surface temperatures: one set taking into account vegetation cover dynamics and the other keeping the vegetation cove

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10

Dekker, S. C., H. J. de Boer, V. Brovkin, K. Fraedrich, M. J. Wassen, and M. Rietkerk. "Biogeophysical feedbacks trigger shifts in the modelled vegetation-atmosphere system at multiple scales." Biogeosciences 7, no. 4 (2010): 1237–45. http://dx.doi.org/10.5194/bg-7-1237-2010.

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Abstract. Terrestrial vegetation influences climate by modifying the radiative-, momentum-, and hydrologic-balance. This paper contributes to the ongoing debate on the question whether positive biogeophysical feedbacks between vegetation and climate may lead to multiple equilibria in vegetation and climate and consequent abrupt regime shifts. Several modelling studies argue that vegetation-climate feedbacks at local to regional scales could be strong enough to establish multiple states in the climate system. An Earth Model of Intermediate Complexity, PlaSim, is used to investigate the resilien

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11

Milcu, Alexandru, Martin Lukac, Jens-Arne Subke, et al. "Biotic carbon feedbacks in a materially closed soil–vegetation–atmosphere system." Nature Climate Change 2, no. 4 (2012): 281–84. http://dx.doi.org/10.1038/nclimate1448.

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12

Liston, Glen E., and Christopher A. Hiemstra. "Representing Grass– and Shrub–Snow–Atmosphere Interactions in Climate System Models." Journal of Climate 24, no. 8 (2011): 2061–79. http://dx.doi.org/10.1175/2010jcli4028.1.

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Abstract A vegetation-protruding-above-snow parameterization for earth system models was developed to improve energy budget calculations of interactions among vegetation, snow, and the atmosphere in nonforested areas. These areas include shrublands, grasslands, and croplands, which represent 68% of the seasonally snow-covered Northern Hemisphere land surface (excluding Greenland). Snow depth observations throughout nonforested areas suggest that mid- to late-winter snowpack depths are often comparable or lower than the vegetation heights. As a consequence, vegetation protruding above the snow

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13

Claussen, Martin, Victor Brovkin, Andrey Ganopolski, Claudia Kubatzki, and Vladimir Petoukhov. "Modelling global terrestrial vegetation–climate interaction." Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences 353, no. 1365 (1998): 53–63. http://dx.doi.org/10.1098/rstb.1998.0190.

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By coupling an atmospheric general circulation model asynchronously with an equilibrium vegetation model, manifold equilibrium solutions of the atmosphere–biosphere system have been explored. It is found that under present–day conditions of the Earth's orbital parameters and sea–surface temperatures, two stable equilibria of vegetation patterns are possible: one corresponding to present–day sparse vegetation in the Sahel, the second solution yielding savannah which extends far into the south–western part of the Sahara. A similar picture is obtained for conditions during the last glacial maximu

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14

Chylek, P., J. Li, M. K. Dubey, M. Wang, and G. Lesins. "Observed and model simulated 20th century Arctic temperature variability: Canadian Earth System Model CanESM2." Atmospheric Chemistry and Physics Discussions 11, no. 8 (2011): 22893–907. http://dx.doi.org/10.5194/acpd-11-22893-2011.

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Abstract. We present simulations of the 20th century Arctic temperature anomaly from the second generation Canadian Earth System Model (CanESM2). The new model couples together an atmosphere-ocean general circulation model, a land-vegetation model and terrestrial and oceanic interactive carbon cycle. It simulates well the observed 20th century Arctic temperature variability that includes the early and late 20th century warming periods and the intervening 1940–1970 period of substantial cooling. The addition of the land-vegetation model and the terrestrial and oceanic interactive carbon cycle t

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15

Curdt, Constanze, Dirk Hoffmeister, Guido Waldhoff, Christian Jekel, and Georg Bareth. "Scientific Research Data Management for Soil-Vegetation-Atmosphere Data – The TR32DB." International Journal of Digital Curation 7, no. 2 (2012): 68–80. http://dx.doi.org/10.2218/ijdc.v7i2.208.

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The implementation of a scientific research data management system is an important task within long-term, interdisciplinary research projects. Besides sustainable storage of data, including accurate descriptions with metadata, easy and secure exchange and provision of data is necessary, as well as backup and visualisation. The design of such a system poses challenges and problems that need to be solved.This paper describes the practical experiences gained by the implementation of a scientific research data management system, established in a large, interdisciplinary research project with focus

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16

CLAUSSEN, MARTIN. "On multiple solutions of the atmosphere-vegetation system in present-day climate." Global Change Biology 4, no. 5 (1998): 549–59. http://dx.doi.org/10.1046/j.1365-2486.1998.00122.x.

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17

Claussen, Martin. "On multiple solutions of the atmosphere–vegetation system in present‐day climate." Global Change Biology 4, no. 5 (1998): 549–59. http://dx.doi.org/10.1046/j.1365-2486.1998.t01-1-00122.x.

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18

Wang, Weile, Bruce T. Anderson, Dara Entekhabi, et al. "Intraseasonal Interactions between Temperature and Vegetation over the Boreal Forests." Earth Interactions 11, no. 18 (2007): 1–30. http://dx.doi.org/10.1175/ei219.1.

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Abstract This paper uses statistical and analytical techniques to investigate intraseasonal interactions between temperature and vegetation [surrogated by the normalized difference vegetation index (NDVI)] over the boreal forests. Results indicate that interactions between the two fields may be approximated as a coupled second-order system, in which the variability of NDVI and temperature of the current month is significantly regulated by lagged NDVI anomalies from the preceding two months. In particular, the influence from the one-month lagged NDVI anomalies upon both temperature and vegetati

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19

Wilhelm, C., D. Rechid, and D. Jacob. "Interactive coupling of regional atmosphere with biosphere in the new generation regional climate system model REMO-iMOVE." Geoscientific Model Development 7, no. 3 (2014): 1093–114. http://dx.doi.org/10.5194/gmd-7-1093-2014.

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Abstract. The main objective of this study is the coupling of the regional climate model REMO with a new land surface scheme including dynamic vegetation phenology, and the evaluation of the new model version called REMO with interactive MOsaic-based VEgetation: REMO-iMOVE. First, we focus on the documentation of the technical aspects of the new model constituents and the coupling mechanism. The representation of vegetation in iMOVE is based on plant functional types (PFTs). Their geographical distribution is prescribed to the model which can be derived from different land surface data sets. H

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20

Devaraju, N., L. Cao, G. Bala, K. Caldeira, and R. Nemani. "A model investigation of vegetation-atmosphere interactions on a millennial timescale." Biogeosciences 8, no. 12 (2011): 3677–86. http://dx.doi.org/10.5194/bg-8-3677-2011.

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Abstract. A terrestrial biosphere model with dynamic vegetation capability, Integrated Biosphere Simulator (IBIS2), coupled to the NCAR Community Atmosphere Model (CAM2) is used to investigate the multiple climate-forest equilibrium states of the climate system. A 1000-year control simulation and another 1000-year land cover change simulation that consisted of global deforestation for 100 years followed by re-growth of forests for the subsequent 900 years were performed. After several centuries of interactive climate-vegetation dynamics, the land cover change simulation converged to essentiall

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21

Brovkin, Victor, Martin Claussen, Vladimir Petoukhov, and Andrey Ganopolski. "On the stability of the atmosphere-vegetation system in the Sahara/Sahel region." Journal of Geophysical Research: Atmospheres 103, no. D24 (1998): 31613–24. http://dx.doi.org/10.1029/1998jd200006.

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22

Zeng, Xiaodong, Aihui Wang, Qingcun Zeng, Robert E. Dickinson, Xubin Zeng, and Samuel S. P. Shen. "Intermediately complex models for the hydrological interactions in the atmosphere-vegetation-soil system." Advances in Atmospheric Sciences 23, no. 1 (2006): 127–40. http://dx.doi.org/10.1007/s00376-006-0013-6.

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23

Devaraju, N., L. Cao, G. Bala, K. Caldeira, and R. Nemani. "A model investigation of vegetation-atmosphere interactions on a millennial timescale." Biogeosciences Discussions 8, no. 4 (2011): 8761–80. http://dx.doi.org/10.5194/bgd-8-8761-2011.

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Abstract. A terrestrial biosphere model with dynamic vegetation capability, Integrated Biosphere Simulator (IBIS), coupled to the NCAR Community Atmosphere Model (CAM2) is used to investigate the multiple climate-forest equilibrium states of the climate system. A 1000-yr control simulation and another 1000-yr land cover change simulation that consisted of global deforestation for 100 yr followed by re-growth of forests for the subsequent 900 yr were performed. After several centuries of interactive climate-vegetation dynamics, the land cover change simulation converged to essentially the same

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24

Laguë, Marysa M., Gordon B. Bonan, and Abigail L. S. Swann. "Separating the Impact of Individual Land Surface Properties on the Terrestrial Surface Energy Budget in both the Coupled and Uncoupled Land–Atmosphere System." Journal of Climate 32, no. 18 (2019): 5725–44. http://dx.doi.org/10.1175/jcli-d-18-0812.1.

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Abstract Changes in the land surface can drive large responses in the atmosphere on local, regional, and global scales. Surface properties control the partitioning of energy within the surface energy budget to fluxes of shortwave and longwave radiation, sensible and latent heat, and ground heat storage. Changes in surface energy fluxes can impact the atmosphere across scales through changes in temperature, cloud cover, and large-scale atmospheric circulation. We test the sensitivity of the atmosphere to global changes in three land surface properties: albedo, evaporative resistance, and surfac

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25

Subin, Z. M., W. J. Riley, J. Jin, D. S. Christianson, M. S. Torn, and L. M. Kueppers. "Ecosystem Feedbacks to Climate Change in California: Development, Testing, and Analysis Using a Coupled Regional Atmosphere and Land Surface Model (WRF3–CLM3.5)." Earth Interactions 15, no. 15 (2011): 1–38. http://dx.doi.org/10.1175/2010ei331.1.

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Abstract A regional atmosphere model [Weather Research and Forecasting model version 3 (WRF3)] and a land surface model [Community Land Model, version 3.5 (CLM3.5)] were coupled to study the interactions between the atmosphere and possible future California land-cover changes. The impact was evaluated on California’s climate of changes in natural vegetation under climate change and of intentional afforestation. The ability of WRF3 to simulate California’s climate was assessed by comparing simulations by WRF3–CLM3.5 and WRF3–Noah to observations from 1982 to 1991. Using WRF3–CLM3.5, the authors

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26

Dekker, S. C., H. J. de Boer, V. Brovkin, K. Fraedrich, M. J. Wassen, and M. Rietkerk. "Biogeophysical feedbacks trigger shifts in the modelled climate system at multiple scales." Biogeosciences Discussions 6, no. 6 (2009): 10983–1004. http://dx.doi.org/10.5194/bgd-6-10983-2009.

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Abstract. Terrestrial vegetation influences climate by modifying the radiative-, momentum-, and hydrologic-balance. This paper contributes to the ongoing debate on the question whether positive biogeophysical feedbacks between vegetation and climate may lead to multiple equilibria in vegetation and climate and consequent abrupt regime shifts. Several modelling studies argue that vegetation-climate feedbacks at local to regional scales could be strong enough to establish multiple states in the climate system. An Earth Model of Intermediate Complexity, PlaSim, is used to investigate the resilien

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27

Quevedo, D. I., and F. Francés. "A conceptual dynamic vegetation-soil model for arid and semiarid zones." Hydrology and Earth System Sciences Discussions 4, no. 5 (2007): 3469–99. http://dx.doi.org/10.5194/hessd-4-3469-2007.

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Abstract. Plant ecosystems in arid and semiarid zones show high complexity from the point of view of water resources, since they depend on water availability to carry out their vital processes. In these climates, water stress is the main factor controlling vegetation development. The available water in the system results from a water balance where the soil, vegetation and the atmosphere are the key issues; but it is the vegetation which modulates (to a great extent) the total balance of water and the mechanisms of the feedback between soil and atmosphere, being the knowledge about soil moistur

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Zhang, Yuan, Devaraju Narayanappa, Philippe Ciais, et al. "Evaluating the vegetation–atmosphere coupling strength of ORCHIDEE land surface model (v7266)." Geoscientific Model Development 15, no. 24 (2022): 9111–25. http://dx.doi.org/10.5194/gmd-15-9111-2022.

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Abstract. Plant transpiration dominates terrestrial latent heat fluxes (LE) and plays a central role in regulating the water cycle and land surface energy budget. However, Earth system models (ESMs) currently disagree strongly on the amount of transpiration, and thus LE, leading to large uncertainties in simulating future climate. Therefore, it is crucial to correctly represent the mechanisms controlling the transpiration in models. At the leaf scale, transpiration is controlled by stomatal regulation, and at the canopy scale, through turbulence, which is a function of canopy structure and win

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Badger, A. M., and P. A. Dirmeyer. "Climate response to Amazon forest replacement by heterogeneous crop cover." Hydrology and Earth System Sciences Discussions 12, no. 1 (2015): 879–910. http://dx.doi.org/10.5194/hessd-12-879-2015.

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Abstract. Previous modeling studies with atmospheric general circulation models and basic land surface schemes to balance energy and water budgets have shown that by removing the natural vegetation over the Amazon, the region's climate becomes warmer and drier. In this study we use a fully coupled Earth System Model and replace tropical forests by a distribution of six common tropical crops with variable planting dates, physiological parameters and irrigation. There is still general agreement with previous studies as areal averages show a warmer (+1.4 K) and drier (−0.35 mm day−1) climate. Usi

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Matsui, Toshihisa, Venkataraman Lakshmi, and Eric E. Small. "The Effects of Satellite-Derived Vegetation Cover Variability on Simulated Land–Atmosphere Interactions in the NAMS." Journal of Climate 18, no. 1 (2005): 21–40. http://dx.doi.org/10.1175/jcli3254.1.

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Abstract Substantial evolution of Normalized Difference Vegetation Index (NVDI)-derived vegetation cover (Fg) exists in the southwestern United States and Mexico. The intraseasonal and wet-/dry-year fluctuations of Fg are linked to observed precipitation in the North American monsoon system (NAMS). The manner in which the spatial and temporal variability of Fg influences the land–atmosphere energy and moisture fluxes, and associated likelihood of moist convection in the NAMS regions, is examined. For this, the regional climate model (RCM) is employed, with three different Fg boundary condition

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31

Martin, G. M., and R. C. Levine. "The influence of dynamic vegetation on the present-day simulation and future projections of the South Asian summer monsoon in the HadGEM2 family." Earth System Dynamics 3, no. 2 (2012): 245–61. http://dx.doi.org/10.5194/esd-3-245-2012.

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Abstract. Various studies have shown the importance of Earth System feedbacks in the climate system and the necessity of including these in models used for making climate change projections. The HadGEM2 family of Met Office Unified Model configurations combines model components which facilitate the representation of many different processes within the climate system, including atmosphere, ocean and sea ice, and Earth System components including the terrestrial and oceanic carbon cycle and tropospheric chemistry. We examine the climatology of the Asian summer monsoon in present-day simulations

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32

Bagley, Justin E., Ankur R. Desai, Paul C. West, and Jonathan A. Foley. "A Simple, Minimal Parameter Model for Predicting the Influence of Changing Land Cover on the Land–Atmosphere System+." Earth Interactions 15, no. 29 (2011): 1–32. http://dx.doi.org/10.1175/2011ei394.1.

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Abstract The impacts of changing land cover on the soil–vegetation–atmosphere system are numerous. With the fraction of land used for farming and grazing expected to increase, extensive alterations to land cover such as replacing forests with cropland will continue. Therefore, quantifying the impact of global land-cover scenarios on the biosphere is critical. The Predicting Ecosystem Goods and Services Using Scenarios boundary layer (PegBL) model is a new global soil–vegetation–boundary layer model designed to quantify these impacts and act as a complementary tool to computationally expensive

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33

Kuchment, L. S., V. N. Demidov, and Z. P. Startseva. "Coupled modeling of the hydrological and carbon cycles in the soil–vegetation–atmosphere system." Journal of Hydrology 323, no. 1-4 (2006): 4–21. http://dx.doi.org/10.1016/j.jhydrol.2005.08.011.

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Zeng, Ning, Katrina Hales, and J. David Neelin. "Nonlinear Dynamics in a Coupled Vegetation–Atmosphere System and Implications for Desert–Forest Gradient." Journal of Climate 15, no. 23 (2002): 3474–87. http://dx.doi.org/10.1175/1520-0442(2002)015<3474:ndiacv>2.0.co;2.

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Groner, Vivienne P., Thomas Raddatz, Christian H. Reick, and Martin Claussen. "Plant functional diversity affects climate–vegetation interaction." Biogeosciences 15, no. 7 (2018): 1947–68. http://dx.doi.org/10.5194/bg-15-1947-2018.

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Abstract. We present how variations in plant functional diversity affect climate–vegetation interaction towards the end of the African Humid Period (AHP) in coupled land–atmosphere simulations using the Max Planck Institute Earth system model (MPI-ESM). In experiments with AHP boundary conditions, the extent of the “green” Sahara varies considerably with changes in plant functional diversity. Differences in vegetation cover extent and plant functional type (PFT) composition translate into significantly different land surface parameters, water cycling, and surface energy budgets. These changes

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Hong, Seungbum, Venkat Lakshmi, and Eric E. Small. "Relationship between Vegetation Biophysical Properties and Surface Temperature Using Multisensor Satellite Data." Journal of Climate 20, no. 22 (2007): 5593–606. http://dx.doi.org/10.1175/2007jcli1294.1.

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Abstract Vegetation is an important factor in global climatic variability and plays a key role in the complex interactions between the land surface and the atmosphere. This study focuses on the spatial and temporal variability of vegetation and its relationship with land–atmosphere interactions. The authors have analyzed the vegetation water content (VegWC) from the Advanced Microwave Scanning Radiometer for EOS (AMSR-E), the leaf area index (LAI), the normalized difference vegetation index (NDVI), the land surface temperature (Ts), and the Moderate Resolution Imaging Spectroradiometer (MODIS)

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Chug, Divyansh, and Francina Dominguez. "Isolating the Observed Influence of Vegetation Variability on the Climate of La Plata River Basin." Journal of Climate 32, no. 14 (2019): 4473–90. http://dx.doi.org/10.1175/jcli-d-18-0677.1.

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AbstractThis work aims to isolate and quantify the local and remote biogeophysical influences of slowly varying vegetation variability on the climate of La Plata basin (LPB) in the austral spring season (September–November) using observational records. Past studies have shown strong land–atmosphere coupling in LPB during this season. The analysis uses a 34-yr record (1981–2014) of the modified enhanced vegetation index (EVI2) from the NASA Making Earth System Data Records for Use in Research Environments (MEaSUREs) Vegetation Index and Phenology dataset and the third-generation normalized diff

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Martin, G. M., and R. C. Levine. "The influence of dynamic vegetation on the present-day simulation and future projections of the South Asian summer monsoon in the HadGEM2 family." Earth System Dynamics Discussions 3, no. 2 (2012): 759–99. http://dx.doi.org/10.5194/esdd-3-759-2012.

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Abstract. Various studies have shown the importance of Earth System feedbacks in the climate system and the necessity of including these in models used for making climate change projections. The HadGEM2 family of Met Office Unified Model configurations combines model components which facilitate the representation of many different processes within the climate system, including atmosphere, ocean and sea ice, and Earth System components including the terrestrial and oceanic carbon cycle and tropospheric chemistry. We examine the climatology of the Asian summer monsoon in present-day simulations

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39

Badger, A. M., and P. A. Dirmeyer. "Climate response to Amazon forest replacement by heterogeneous crop cover." Hydrology and Earth System Sciences 19, no. 11 (2015): 4547–57. http://dx.doi.org/10.5194/hess-19-4547-2015.

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Abstract. Previous modeling studies with atmospheric general circulation models and basic land surface schemes to balance energy and water budgets have shown that by removing the natural vegetation over the Amazon, the region's climate becomes warmer and drier. In this study we use a fully coupled Earth system model and replace tropical forests by a distribution of six common tropical crops with variable planting dates, physiological parameters and irrigation. There is still general agreement with previous studies as areal averages show a warmer (+1.4 K) and drier (−0.35 mm day−1) climate. Usi

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40

Wang, Yunfei, Yijian Zeng, Lianyu Yu, et al. "Integrated modeling of canopy photosynthesis, fluorescence, and the transfer of energy, mass, and momentum in the soil–plant–atmosphere continuum (STEMMUS–SCOPE v1.0.0)." Geoscientific Model Development 14, no. 3 (2021): 1379–407. http://dx.doi.org/10.5194/gmd-14-1379-2021.

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Abstract. Root water uptake by plants is a vital process that influences terrestrial energy, water, and carbon exchanges. At the soil, vegetation, and atmosphere interfaces, root water uptake and solar radiation predominantly regulate the dynamics and health of vegetation growth, which can be remotely monitored by satellites, using the soil–plant relationship proxy – solar-induced chlorophyll fluorescence. However, most current canopy photosynthesis and fluorescence models do not account for root water uptake, which compromises their applications under water-stressed conditions. To address thi

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Imbach, Pablo, Luis Molina, Bruno Locatelli, et al. "Modeling Potential Equilibrium States of Vegetation and Terrestrial Water Cycle of Mesoamerica under Climate Change Scenarios*." Journal of Hydrometeorology 13, no. 2 (2012): 665–80. http://dx.doi.org/10.1175/jhm-d-11-023.1.

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Abstract The likelihood and magnitude of the impacts of climate change on potential vegetation and the water cycle in Mesoamerica is evaluated. Mesoamerica is a global biodiversity hotspot with highly diverse topographic and climatic conditions and is among the tropical regions with the highest expected changes in precipitation and temperature under future climate scenarios. The biogeographic soil–vegetation–atmosphere model Mapped Atmosphere Plant Soil System (MAPSS) was used for simulating the integrated changes in leaf area index (LAI), vegetation types (grass, shrubs, and trees), evapotran

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Wu, Minchao, Guy Schurgers, Markku Rummukainen, et al. "Vegetation–climate feedbacks modulate rainfall patterns in Africa under future climate change." Earth System Dynamics 7, no. 3 (2016): 627–47. http://dx.doi.org/10.5194/esd-7-627-2016.

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Abstract. Africa has been undergoing significant changes in climate and vegetation in recent decades, and continued changes may be expected over this century. Vegetation cover and composition impose important influences on the regional climate in Africa. Climate-driven changes in vegetation structure and the distribution of forests versus savannah and grassland may feed back to climate via shifts in the surface energy balance, hydrological cycle and resultant effects on surface pressure and larger-scale atmospheric circulation. We used a regional Earth system model incorporating interactive ve

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Teixeira, João C., Gerd A. Folberth, Fiona M. O'Connor, Nadine Unger, and Apostolos Voulgarakis. "Coupling interactive fire with atmospheric composition and climate in the UK Earth System Model." Geoscientific Model Development 14, no. 10 (2021): 6515–39. http://dx.doi.org/10.5194/gmd-14-6515-2021.

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Abstract. Fire constitutes a key process in the Earth system (ES), being driven by climate as well as affecting the climate by changing atmospheric composition and impacting the terrestrial carbon cycle. However, studies on the effects of fires on atmospheric composition, radiative forcing and climate have been limited to date, as the current generation of ES models (ESMs) does not include fully atmosphere–composition–vegetation coupled fires feedbacks. The aim of this work is to develop and evaluate a fully coupled fire–composition–climate ES model. For this, the INteractive Fires and Emissio

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Zhang, W., C. Jansson, P. A. Miller, B. Smith, and P. Samuelsson. "Biogeophysical feedbacks enhance Arctic terrestrial carbon sink in regional Earth system dynamics." Biogeosciences Discussions 11, no. 5 (2014): 6715–54. http://dx.doi.org/10.5194/bgd-11-6715-2014.

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Abstract. Continued warming of the Arctic will likely accelerate terrestrial carbon (C) cycling by increasing both uptake and release of C. There are still large uncertainties in modelling Arctic terrestrial ecosystems as a source or sink of C. Most modelling studies assessing or projecting the future fate of C exchange with the atmosphere are based an either stand-alone process-based models or coupled climate–C cycle general circulation models, in either case disregarding biogeophysical feedbacks of land surface changes to the atmosphere. To understand how biogeophysical feedbacks will impact

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Quevedo, D. I., and F. Francés. "A conceptual dynamic vegetation-soil model for arid and semiarid zones." Hydrology and Earth System Sciences 12, no. 5 (2008): 1175–87. http://dx.doi.org/10.5194/hess-12-1175-2008.

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Abstract. Plant ecosystems in arid and semiarid climates show high complexity, since they depend on water availability to carry out their vital processes. In these climates, water stress is the main factor controlling vegetation development and its dynamic evolution. The available water-soil content results from the water balance in the system, where the key issues are the soil, the vegetation and the atmosphere. However, it is the vegetation, which modulates, to a great extent, the water fluxes and the feedback mechanisms between soil and atmosphere. Thus, soil moisture content is most releva

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Woodward, Stephanie, Alistair A. Sellar, Yongming Tang, et al. "The simulation of mineral dust in the United Kingdom Earth System Model UKESM1." Atmospheric Chemistry and Physics 22, no. 22 (2022): 14503–28. http://dx.doi.org/10.5194/acp-22-14503-2022.

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Abstract. Mineral dust plays an important role in Earth system models and is linked to many components, including atmospheric wind speed, precipitation and radiation, surface vegetation cover and soil properties and oceanic biogeochemical systems. In this paper, the dust scheme in the first configuration of the United Kingdom Earth System Model UKESM1 is described, and simulations of dust and its radiative effects are presented and compared with results from the parallel coupled atmosphere–ocean general circulation model (GCM) HadGEM3-GC3.1. Not only changes in the driving model fields but als

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Drüke, Markus, Werner von Bloh, Stefan Petri, et al. "CM2Mc-LPJmL v1.0: biophysical coupling of a process-based dynamic vegetation model with managed land to a general circulation model." Geoscientific Model Development 14, no. 6 (2021): 4117–41. http://dx.doi.org/10.5194/gmd-14-4117-2021.

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Abstract. The terrestrial biosphere is exposed to land-use and climate change, which not only affects vegetation dynamics but also changes land–atmosphere feedbacks. Specifically, changes in land cover affect biophysical feedbacks of water and energy, thereby contributing to climate change. In this study, we couple the well-established and comprehensively validated dynamic global vegetation model LPJmL5 (Lund–Potsdam–Jena managed Land) to the coupled climate model CM2Mc, the latter of which is based on the atmosphere model AM2 and the ocean model MOM5 (Modular Ocean Model 5), and name it CM2Mc

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Kerkhoven, E., and T. Y. Gan. "Differences in the Potential Hydrologic Impact of Climate Change to the Athabasca and Fraser River Basins of Canada with and without Considering Shifts in Vegetation Patterns Induced by Climate Change." Journal of Hydrometeorology 14, no. 3 (2013): 963–76. http://dx.doi.org/10.1175/jhm-d-12-011.1.

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Abstract The research objectives are to estimate differences between the potential impact of climatic change to the Athabasca River basin (ARB) and Fraser River basin (FRB) of Canada with and without considering shifts in vegetation patterns induced by climate change and how much the difference will depend on vegetation types and climate. The hydrologic effects of vegetation shifts on ARB and FRB were estimated by applying the Mapped Atmosphere–Plant–Soil System (MAPSS) simulated results based on the Intergovernmental Panel on Climate Change’s First and Second Assessment Report general circula

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Brunsell, N. A., S. J. Schymanski, and A. Kleidon. "Quantifying the thermodynamic entropy budget of the land surface: is this useful?" Earth System Dynamics 2, no. 1 (2011): 87–103. http://dx.doi.org/10.5194/esd-2-87-2011.

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Abstract. As a system is moved away from a state of thermodynamic equilibrium, spatial and temporal heterogeneity is induced. A possible methodology to assess these impacts is to examine the thermodynamic entropy budget and assess the role of entropy production and transfer between the surface and the atmosphere. Here, we adopted this thermodynamic framework to examine the implications of changing vegetation fractional cover on land surface energy exchange processes using the NOAH land surface model and eddy covariance observations. Simulations that varied the relative fraction of vegetation w

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Brunsell, N. A., S. J. Schymanski, and A. Kleidon. "Quantifying the thermodynamic entropy budget of the land surface: is this useful?" Earth System Dynamics Discussions 2, no. 1 (2011): 71–103. http://dx.doi.org/10.5194/esdd-2-71-2011.

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Abstract. As a system is moved away from a state of thermodynamic equilibrium, spatial and temporal heterogeneity is induced. A possible methodology to assess these impacts is to examine the thermodynamic entropy budget and assess the role of entropy production and transfer between the surface and the atmosphere. Here, we adopted this thermodynamic framework to examine the implications of changing vegetation fractional cover on land surface energy exchange processes using the NOAH land surface model and eddy covariance observations. Simulations that varied the relative fraction of vegetation w

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