Land-Atmosphere Interactions: Biogeophysical and Biogeochemical Feedbacks

A special issue of Atmosphere (ISSN 2073-4433). This special issue belongs to the section "Biosphere/Hydrosphere/Land–Atmosphere Interactions".

Deadline for manuscript submissions: closed (31 December 2019) | Viewed by 12760

Special Issue Editors

Department of Geography, Kyung Hee University, Seoul 130-701, Korea
Interests: climatology; monsoon climate; land–atmosphere interactions; climate impacts
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Guest Editor
Centre for Ecology & Hydrology, Edinburgh, UK

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Department of Earth and Environmental Sciences, Lehigh University, Bethlehem, PA 18015, USA

Special Issue Information

Dear Colleagues,

Changes in the physical and chemical properties of terrestrial ecosystems influence the climate system through the biogeophysical and biogeochemical feedbacks in land-atmosphere interactions. Land-atmosphere interactions involve exchanges of water, energy, carbon and other chemical components including nitrogen and methane. This special issue in Atmosphere aims at improving our understanding of the physical and chemical processes in the land and atmosphere systems at a variety of spatial scales of meso-, synoptic-, and even planetary-scales. Papers are invited that focus on the effects of terrestrial ecosystems on local, regional, and global budgets of water, energy, and atmospheric properties using observational and modeling analysis. We are particularly interested in (but not limited to) the impacts of the human-induced land use and land cover changes, due to expansion and intensification of deforestation, afforestation and agricultural practices, on the atmosphere through the exchanges in water, energy, and chemical components.

Dr. Eungul Lee
Dr. Mhairi Coyle
Dr. Benjamin Felzer
Guest Editors

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Published Papers (4 papers)

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Research

14 pages, 2483 KiB  
Article
Estimation of N2O Emissions from Agricultural Soils and Determination of Nitrogen Leakage
by Kristína Tonhauzer, Peter Tonhauzer, Janka Szemesová and Bernard Šiška
Atmosphere 2020, 11(6), 552; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos11060552 - 26 May 2020
Cited by 3 | Viewed by 2983
Abstract
Leaching of nitrogen from the soil is a natural but unfavorable effect that generates N2O emissions. Exact quantification of nitrogen leakage is a challenging process. Intensive leakage occurs mainly when the soil is without vegetation and under specific climatic conditions. This [...] Read more.
Leaching of nitrogen from the soil is a natural but unfavorable effect that generates N2O emissions. Exact quantification of nitrogen leakage is a challenging process. Intensive leakage occurs mainly when the soil is without vegetation and under specific climatic conditions. This paper aims to quantify the amount of nitrogen leakage from arable land and grassland, and to estimate N2O emissions in 2017. Estimating the country-specific fraction of leached nitrogen (FracLEACH) is important for the emission balance from this source. Emissions are underestimated when the fraction is low; on the contrary, a high fraction causes overestimation. The internationally recognized fraction is 30%, according to the 2006 Intergovernmental Panel on Climate Control (IPCC) Guidelines. This factor represents the fraction of nitrogen losses compared to total nitrogen inputs and sources. In this study, we analyzed the effects of climatic conditions on agricultural soils in Slovakia to evaluate the area of nitrogen loss through leaching. Full article
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17 pages, 3999 KiB  
Article
Improving the Processes in the Land Surface Scheme TERRA: Bare Soil Evaporation and Skin Temperature
by Jan-Peter Schulz and Gerd Vogel
Atmosphere 2020, 11(5), 513; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos11050513 - 16 May 2020
Cited by 28 | Viewed by 3108
Abstract
Newly improved formulations of the bare soil evaporation and the surface temperature are presented, using the multilayer land surface scheme TERRA of the Consortium for Small-scale Modeling (COSMO) atmospheric model. The simulations were carried out in offline mode with atmospheric forcing data from [...] Read more.
Newly improved formulations of the bare soil evaporation and the surface temperature are presented, using the multilayer land surface scheme TERRA of the Consortium for Small-scale Modeling (COSMO) atmospheric model. The simulations were carried out in offline mode with atmospheric forcing data from the Meteorological Observatory Lindenberg–Richard-Aßmann-Observatory of the German Meteorological Service. The results show that the bare soil evaporation simulated by the reference version of TERRA is substantially overestimated under wet conditions, and underestimated under dry conditions. Furthermore, the amplitude of the diurnal cycle of the surface temperature is systematically underestimated. In contrast, the diurnal cycles of the temperatures in the soil are overestimated instead. The new description of the bare soil evaporation in TERRA is based on a resistance formulation analogue to Ohm’s law, while the surface temperature is now based on the skin temperature formulation by Viterbo and Beljaars. The new formulation improves the simulated bare soil evaporation substantially. In particular, the overestimation under wet conditions is reduced, also acting against an extensive drying of the soil during the annual cycle. Additionally, the underestimation under dry conditions is reduced as well. Furthermore, the simulated amplitude of the diurnal cycle of the surface temperature is substantially increased. In particular, a nocturnal warm bias is systematically reduced. In addition to this, the new formulations were also applied in coupled mode in the COSMO model, resulting in improved diurnal cycles of near-surface temperature and dew point. Full article
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14 pages, 4696 KiB  
Article
April Vegetation Dynamics and Forest–Climate Interactions in Central Appalachia
by Nathan Shull and Eungul Lee
Atmosphere 2019, 10(12), 765; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos10120765 - 02 Dec 2019
Cited by 3 | Viewed by 2987
Abstract
The study of land–atmosphere (L–A) interactions is an emerging field in which the effects of the land on the atmosphere are strongly considered. Though this coupled approach is becoming more popular in atmospheric research, L–A interactions are not fully understood, especially in temperate [...] Read more.
The study of land–atmosphere (L–A) interactions is an emerging field in which the effects of the land on the atmosphere are strongly considered. Though this coupled approach is becoming more popular in atmospheric research, L–A interactions are not fully understood, especially in temperate regions. This study provides the first in-depth investigation of L–A interactions and their impacts on near-surface climate conditions in the Appalachian region of the Eastern United States. By way of statistical analysis, we explore vegetation dynamics, L–A interactions, and the consequences for near-surface climate, along with the competing effects of the albedo (energy) and moisture (evapotranspiration and soil moisture) feedback. Based on the results from linear regression, composite, and correlation analyses, we conclude that: (1) a statistically significant increasing trend in April vegetation exists from 1982 to 2015 in central Appalachia; (2) there was empirical evidence that this increasing vegetation trend was significant and altered near-surface climatic conditions, as indicated by significantly enhanced latent heat flux, 2 m-specific humidity, and soil moisture; and (3) the dominant biogeophysical process responsible for the changes in near-surface climate conditions could be the positive moisture feedback process. Full article
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23 pages, 5278 KiB  
Article
Spatial-Temporal Variability of Land Surface Dry Anomalies in Climatic Aspect: Biogeophysical Insight by Meteosat Observations and SVAT Modeling
by Julia Stoyanova, Christo Georgiev, Plamen Neytchev and Andrey Kulishev
Atmosphere 2019, 10(10), 636; https://0-doi-org.brum.beds.ac.uk/10.3390/atmos10100636 - 22 Oct 2019
Cited by 10 | Viewed by 3187
Abstract
The spatial-temporal variability of drought occurrence over Bulgaria is characterized based on long-term records (2007–2018) of Meteosat information and the SVAT model-derived soil moisture availability index (referred to root zone depth, SMAI). Land surface temperature according to the satellite-derived Land Surface Analysis Satellite [...] Read more.
The spatial-temporal variability of drought occurrence over Bulgaria is characterized based on long-term records (2007–2018) of Meteosat information and the SVAT model-derived soil moisture availability index (referred to root zone depth, SMAI). Land surface temperature according to the satellite-derived Land Surface Analysis Satellite Application Facility Land Surface Temperature (LSASAF LST) product and SMAI were used to designate land surface state dry anomalies. The utility of LST for drought assessment is tested by statistical comparative analyses, applying two approaches, site-scale quantitative comparison, and evaluation of spatial-temporal consistency between SMAI and LST variability. Pearson correlation and regression modeling techniques were applied. The main results indicate for a synchronized behavior between SMAI and LST during dry spells, as follows: opposite mean seasonal course (March–October); high to strong negative monthly correlation for different microclimate regimes. Negative linear regressions between the anomalies of SMAI and LST (monthly mean), with a strong correlation in their spatial-temporal variability. Qualitative evaluation of spatial-temporal variability dynamics is analyzed using color maps. Drought-prone areas were identified on the bases of LST maps (monthly mean), and it is illustrated they are more vulnerable to vegetation burning as detected by the Meteosat FRP-PIXEL product. The current study provides an advanced framework for using LST retrievals based on IR satellite observations from the geostationary MSG satellite as an alternative tool to SMAI, whose calculation requires the input of many parameters that are not always available. Full article
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