CloudRoots-Amazon22: Integrating Clouds with Photosynthesis by Crossing Scales

被引：3

作者：

de Arellano, J. Vila-Guerau ^{[1
]}

Hartogensis, O. K. ^{[1
]}

de Boer, H. ^{[2
]}

Moonen, R. ^{[3
]}

Gonzalez-Armas, R. ^{[1
]}

Janssens, M. ^{[1
]}

Adnew, G. A. ^{[3
]}

Bonell-Fontas, D. J. ^{[3
]}

Botia, S. ^{[4
]}

Jones, S. P. ^{[5
]}

van Asperen, H. ^{[5
]}

Komiya, S. ^{[5
]}

de Feiter, V. S. ^{[1
]}

Rikkers, D. ^{[1
]}

de Haas, S. ^{[1
]}

Machado, L. A. T. ^{[6
,7
]}

Dias-Junior, C. Q. ^{[8
]}

Giovanelli-Haytzmann, G. ^{[7
]}

Valenti, W. I. D. ^{[9
]}

Figueiredo, R. C. ^{[9
]}

Farias, C. S. ^{[9
]}

Hall, D. H. ^{[9
]}

Mendonca, A. C. S. ^{[9
]}

da Silva, F. A. G. ^{[6
]}

da Silva, J. L. Marton ^{[10
]}

Souza, R. ^{[11
]}

Martins, G. ^{[9
]}

Miller, J. N. ^{[12
]}

Mol, W. B. ^{[1
]}

Heusinkveld, B. ^{[1
]}

van Heerwaarden, C. C.

DOliveira, F. A. F. ^{[8
]}

Ferreira, R. Rodrigues ^{[14
]}

Gotuzzo, R. Acosta ^{[15
]}

Pugliese, G. ^{[13
]}

Williams, J. ^{[13
,16
]}

Ringsdorf, A. ^{[13
]}

Edtbauer, A. ^{[13
]}

Quesada, C. A. ^{[9
]}

Portela, B. Takeshi Tanaka ^{[9
]}

Alves, E. Gomes ^{[5
]}

Poehlker, C.

Trumbore, S. ^{[5
]}

Lelieveld, J. ^{[13
]}

Rockmann, T. ^{[3
]}

机构：

[1] Wageningen Univ, Meteorol & Air Qual Sect, Wageningen, Netherlands

[2] Univ Utrecht, Copernicus Inst Sustainable Dev, Environm Sci, Utrecht, Netherlands

[3] Univ Utrecht, Inst Marine & Atmospher Utrecht, Utrecht, Netherlands

[4] Max Planck Inst Biogeochem, Biogeochem Signals Dept, Jena, Germany

[5] Max Planck Inst Biogeochem, Biogeochem Proc Dept, Jena, Germany

[6] Univ Sao Paulo, Inst Phys, Sao Paulo, Brazil

[7] Max Planck Inst Chem, Multiphase Chem Dept, Mainz, Germany

[8] Fed Inst Para, Phys Dept IFPA, Belem, Para, Brazil

[9] Inst Nacl de Pesquisas da Amazonia, Manaus, Brazil

[10] Inst Nacl Pesquisas Espaciais, Cachoeira Paulista, Brazil

[11] Univ Estado Amazonas, Manaus, Brazil

[12] NOAA, ESRL Global Monitoring, Boulder, CO USA

[13] Max Planck Inst Chem, Atmospher Chem Dept, Mainz, Germany

[14] Program Large Scale Biosphere Atmosphere Amazon LB, Amazon Tall Tower Observ, Manaus, AM, Brazil

[15] Fed Univ Rio Grande, Rio Grande, Brazil

[16] Cyprus Inst, Climate & Atmosphere Res Ctr, Nicosia, Cyprus

来源：

BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY | 2024年 / 105卷 / 07期

基金：

巴西圣保罗研究基金会;

关键词：

Amazon region; Carbon cycle; Clouds; Atmosphere-land interaction; LARGE-EDDY SIMULATION; BOUNDARY-LAYER; WATER-VAPOR; COVARIANCE MEASUREMENTS; ISOTOPE MEASUREMENTS; CUMULUS CONVECTION; ENERGY-EXCHANGE; CARBON-DIOXIDE; RAIN-FOREST; MASS FLUX;

D O I：

10.1175/BAMS-D-23-0333.1

中图分类号：

P4 [大气科学（气象学）];

学科分类号：

0706 ; 070601 ;

摘要：

How are rain forest photosynthesis and turbulent fluxes influenced by clouds? To what extent are clouds affected by local processes driven by rain forest energy, water, and carbon fluxes? These interrelated questions were the main drivers of the intensive field experiment CloudRoots-Amazon22 which took place at the Amazon Tall Tower Observatory (ATTO)/Campina supersites in the Amazon rain forest during the dry season, in August 2022. CloudRoots-Amazon22 collected observational data to derive cause-effect relationships between processes occurring at the leaf level up to canopy scales in relation to the diurnal evolution of the clear-to-cloudy transition. First, we studied the impact of cloud and canopy radiation perturbations on the subdiurnal variability of stomatal conductance. Stoma opening is larger in the morning, modulated by the cloud optical thickness. Second, we combined 1-Hz frequency measurements of the stable isotopologues of carbon dioxide and water vapor with measurements of turbulence to determine carbon dioxide and water vapor sources and sinks within the canopy. Using scintillometer observations, we inferred 1-min sensible heat flux that responded within minutes to the cloud passages. Third, collocated profiles of state variables and greenhouse gases enabled us to determine the role of clouds in vertical transport. We then inferred, using canopy and upper-atmospheric observations and a parameterization, the cloud cover and cloud mass flux to establish causality between canopy and cloud processes. This shows the need for a comprehensive observational set to improve weather and climate model representations. Our findings contribute to advance our knowledge of the coupling between cloudy boundary layers and primary carbon productivity of the Amazon rain forest.

引用

页码：E1275 / E1302

页数：28

共 1 条

[1] The response of the Amazon ecosystem to the photosynthetically active radiation fields: integrating impacts of biomass burning aerosol and clouds in the NASA GEOS Earth system model
Bian, Huisheng
Lee, Eunjee
Koster, Randal D.
Barahona, Donifan
Chin, Mian
Colarco, Peter R.
Darmenov, Anton
Mahanama, Sarith
Manyin, Michael
Norris, Peter
Shilling, John
Yu, Hongbin
Zeng, Fanwei
ATMOSPHERIC CHEMISTRY AND PHYSICS, 2021, 21 (18) : 14177 - 14197

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