Atmospheric radiative profiles during EUREC4A

被引:11
作者
Albright, Anna Lea [1 ]
Fildier, Benjamin [2 ]
Touze-Peiffer, Ludovic [1 ]
Pincus, Robert [3 ,4 ]
Vial, Jessica [1 ]
Muller, Caroline [2 ]
机构
[1] Sorbonne Univ, Lab Meteorol Dynam, Paris, France
[2] Ecole Normale Super, Lab Meteorol Dynam, Paris, France
[3] Univ Colorado, Cooperat Inst Res Environm Sci, Boulder, CO 80309 USA
[4] NOAA, Phys Sci Lab, Boulder, CO USA
基金
欧洲研究理事会;
关键词
WATER-VAPOR; SELF-AGGREGATION; ENERGY-BALANCE; CLOUDS; CONVECTION; MODELS; LIDAR; LAYERS;
D O I
10.5194/essd-13-617-2021
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
The couplings among clouds, convection, and circulation in trade-wind regimes remain a fundamental puzzle that limits our ability to constrain future climate change. Radiative heating plays an important role in these couplings. Here we calculate clear-sky radiative profiles from 2580 in situ soundings (1068 dropsondes and 1512 radiosondes) collected during the field campaign EUREC(4)A (Elucidating the role of clouds-circulation coupling in climate). EUREC(4)A took place in the downstream trades of the western tropical Atlantic in January-February 2020. We describe the method used to calculate these cloud-free, aerosol-free radiative profiles. We then present preliminary results sampling variability at multiple scales, from the variability across all soundings to groupings by diurnal cycle and mesoscale organization, as well as individual soundings associated with elevated moisture layers. We also perform an uncertainty assessment and find that the errors resulting from uncertainties in observed sounding profiles and ERA5 reanalysis employed as upper and lower boundary conditions are small. The present radiative profile data set can provide important additional details missing from calculations based on passive remote sensing and aid in understanding the interplay of radiative heating with dynamic and thermodynamic variability in the trades. The data set can also be used to investigate the role of low-level radiative cooling gradients in generating shallow circulations.
引用
收藏
页码:617 / 630
页数:14
相关论文
共 64 条
[1]  
Albright A. L., 2020, EARTH SYSTEM SCI DAT
[2]  
Albright A. L., 2020, ATMOSPHERIC RAD PROF
[3]  
[Anonymous], **DATA OBJECT**, DOI DOI 10.5281/ZENODO.4010195
[4]  
[Anonymous], 2018, TECH REP
[5]   Marine boundary layer clouds at the heart of tropical cloud feedback uncertainties in climate models [J].
Bony, S ;
Dufresne, JL .
GEOPHYSICAL RESEARCH LETTERS, 2005, 32 (20) :1-4
[6]   Sugar, Gravel, Fish, and Flowers: Dependence of Mesoscale Patterns of Trade-Wind Clouds on Environmental Conditions [J].
Bony, Sandrine ;
Schulz, Hauke ;
Vial, Jessica ;
Stevens, Bjorn .
GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (07)
[7]   EUREC4A: A Field Campaign to Elucidate the Couplings Between Clouds, Convection and Circulation [J].
Bony, Sandrine ;
Stevens, Bjorn ;
Ament, Felix ;
Bigorre, Sebastien ;
Chazette, Patrick ;
Crewell, Susanne ;
Delanoe, Julien ;
Emanuel, Kerry ;
Farrell, David ;
Flamant, Cyrille ;
Gross, Silke ;
Hirsch, Lutz ;
Karstensen, Johannes ;
Mayer, Bernhard ;
Nuijens, Louise ;
Ruppert, James H., Jr. ;
Sandu, Irina ;
Siebesma, Pier ;
Speich, Sabrina ;
Szczap, Frederic ;
Totems, Julien ;
Vogel, Raphaela ;
Wendisch, Manfred ;
Wirth, Martin .
SURVEYS IN GEOPHYSICS, 2017, 38 (06) :1529-1568
[8]   Understanding Mesoscale Aggregation of Shallow Cumulus Convection Using Large-Eddy Simulation [J].
Bretherton, C. S. ;
Blossey, P. N. .
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2017, 9 (08) :2798-2821
[9]   An energy-balance analysis of deep convective self-aggregation above uniform SST [J].
Bretherton, CS ;
Blossey, PN ;
Khairoutdinov, M .
JOURNAL OF THE ATMOSPHERIC SCIENCES, 2005, 62 (12) :4273-4292
[10]   Inversion variability in the Hawaiian trade wind regime [J].
Cao, Guangxia ;
Giambelluca, Thomas W. ;
Stevens, Duane E. ;
Schroeder, Thomas A. .
JOURNAL OF CLIMATE, 2007, 20 (07) :1145-1160