Controls on trace gas exchange observed by a conditional sampling method

1998 ◽  
Vol 32 (19) ◽  
pp. 3265-3274 ◽  
Author(s):  
J.B. Moncrieff ◽  
I.J. Beverland ◽  
D.H. ÓNéill ◽  
F.D. Cropley
1997 ◽  
Vol 48 (5) ◽  
pp. 1133-1142 ◽  
Author(s):  
John Moncrieff ◽  
Riccardo Valentini ◽  
Susanna Greco ◽  
Seufert Guenther ◽  
Paolo Ciccioli

2016 ◽  
Vol 13 (13) ◽  
pp. 3981-3989 ◽  
Author(s):  
R. Pereira ◽  
K. Schneider-Zapp ◽  
R. C. Upstill-Goddard

Abstract. Understanding the physical and biogeochemical controls of air–sea gas exchange is necessary for establishing biogeochemical models for predicting regional- and global-scale trace gas fluxes and feedbacks. To this end we report the results of experiments designed to constrain the effect of surfactants in the sea surface microlayer (SML) on the gas transfer velocity (kw; cm h−1), seasonally (2012–2013) along a 20 km coastal transect (North East UK). We measured total surfactant activity (SA), chromophoric dissolved organic matter (CDOM) and chlorophyll a (Chl a) in the SML and in sub-surface water (SSW) and we evaluated corresponding kw values using a custom-designed air–sea gas exchange tank. Temporal SA variability exceeded its spatial variability. Overall, SA varied 5-fold between all samples (0.08 to 0.38 mg L−1 T-X-100), being highest in the SML during summer. SML SA enrichment factors (EFs) relative to SSW were  ∼  1.0 to 1.9, except for two values (0.75; 0.89: February 2013). The range in corresponding k660 (kw for CO2 in seawater at 20 °C) was 6.8 to 22.0 cm h−1. The film factor R660 (the ratio of k660 for seawater to k660 for “clean”, i.e. surfactant-free, laboratory water) was strongly correlated with SML SA (r ≥ 0.70, p ≤ 0.002, each n = 16). High SML SA typically corresponded to k660 suppressions  ∼  14 to 51 % relative to clean laboratory water, highlighting strong spatiotemporal gradients in gas exchange due to varying surfactant in these coastal waters. Such variability should be taken account of when evaluating marine trace gas sources and sinks. Total CDOM absorbance (250 to 450 nm), the CDOM spectral slope ratio (SR = S275 − 295∕S350 − 400), the 250 : 365 nm CDOM absorption ratio (E2 : E3), and Chl a all indicated spatial and temporal signals in the quantity and composition of organic matter in the SML and SSW. This prompts us to hypothesise that spatiotemporal variation in R660 and its relationship with SA is a consequence of compositional differences in the surfactant fraction of the SML DOM pool that warrants further investigation.


1994 ◽  
Vol 99 (D1) ◽  
pp. 1953 ◽  
Author(s):  
William Ussler ◽  
Jeffrey P. Chanton ◽  
Cheryl A. Kelley ◽  
Christopher S. Martens

2005 ◽  
Vol 114 (3) ◽  
pp. 615-640 ◽  
Author(s):  
A.K. Fotiadi ◽  
F. Lohou ◽  
A. Druilhet ◽  
D. Ser�a ◽  
Y. Brunet ◽  
...  

Flora ◽  
2008 ◽  
Vol 203 (1) ◽  
pp. 14-33 ◽  
Author(s):  
Barbara Köstner ◽  
Rainer Matyssek ◽  
Hermann Heilmeier ◽  
Falko Clausnitzer ◽  
Angela J. Nunn ◽  
...  

2000 ◽  
Vol 14 (3) ◽  
pp. 715-723 ◽  
Author(s):  
T. Friborg ◽  
T. R. Christensen ◽  
B. U. Hansen ◽  
C. Nordstroem ◽  
H. Soegaard

2009 ◽  
Vol 6 (4) ◽  
pp. 7717-7788 ◽  
Author(s):  
A. Arneth ◽  
S. Sitch ◽  
A. Bondeau ◽  
K. Butterbach-Bahl ◽  
P. Foster ◽  
...  

Abstract. Exchange of non-CO2 trace gases between the land surface and the atmosphere plays an important role in atmospheric chemistry and climate. Recent studies have highlighted its importance for interpretation of glacial-interglacial ice-core records, the simulation of the pre-industrial and present atmosphere, and the potential for large climate-chemistry and climate-aerosol feedbacks in the coming century. However, spatial and temporal variations in trace gas emissions and the magnitude of future feedbacks are a major source of uncertainty in atmospheric chemistry, air quality and climate science. To reduce such uncertainties Dynamic Global Vegetation Models (DGVMs) are currently being expanded to mechanistically represent processes relevant to non-CO2 trace gas exchange between land biota and the atmosphere. In this paper we present a review of important non-CO2 trace gas emissions, the state-of-the-art in DGVM modelling of processes regulating these emissions, identify key uncertainties for global scale model applications, and discuss a methodology for model integration and evaluation.


2000 ◽  
Vol 105 (D20) ◽  
pp. 24791-24798 ◽  
Author(s):  
H. J. I. Rinne ◽  
A. C. Delany ◽  
J. P. Greenberg ◽  
A. B. Guenther

Sign in / Sign up

Export Citation Format

Share Document