Simulations of cloud-radiation interaction using large-scale forcing derived from the CINDY/DYNAMO northern sounding array

被引:16
|
作者
Wang, Shuguang [1 ]
Sobel, Adam H. [1 ,2 ,3 ]
Fridlind, Ann [4 ]
Feng, Zhe [5 ]
Comstock, Jennifer M. [5 ]
Minnis, Patrick [6 ]
Nordeen, Michele L. [7 ]
机构
[1] Columbia Univ, Dept Appl Phys & Appl Math, New York, NY 10027 USA
[2] Columbia Univ, Lamont Doherty Geol Observ, Palisades, NY 10964 USA
[3] Columbia Univ, Dept Earth & Environm Sci, New York, NY USA
[4] NASA, Goddard Inst Space Studies, New York, NY 10025 USA
[5] Pacific NW Natl Lab, Richland, WA 99352 USA
[6] NASA, Langley Res Ctr, Hampton, VA 23665 USA
[7] Sci Syst & Applicat Inc, Hampton, VA USA
基金
美国国家科学基金会;
关键词
MADDEN-JULIAN OSCILLATION; TROPICAL INTRASEASONAL OSCILLATION; STATIC ENERGY BUDGET; RESOLVING MODEL; INDIAN-OCEAN; TOGA COARE; PART I; STRATIFORM PRECIPITATION; VERTICAL DIFFUSION; HEATING RATES;
D O I
10.1002/2015MS000461
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
The recently completed CINDY/DYNAMO field campaign observed two Madden-Julian oscillation (MJO) events in the equatorial Indian Ocean from October to December 2011. Prior work has indicated that the moist static energy anomalies in these events grew and were sustained to a significant extent by radiative feedbacks. We present here a study of radiative fluxes and clouds in a set of cloud-resolving simulations of these MJO events. The simulations are driven by the large-scale forcing data set derived from the DYNAMO northern sounding array observations, and carried out in a doubly periodic domain using the Weather Research and Forecasting (WRF) model. Simulated cloud properties and radiative fluxes are compared to those derived from the S-PolKa radar and satellite observations. To accommodate the uncertainty in simulated cloud microphysics, a number of single-moment (1M) and double-moment (2M) microphysical schemes in the WRF model are tested. The 1M schemes tend to underestimate radiative flux anomalies in the active phases of the MJO events, while the 2M schemes perform better, but can overestimate radiative flux anomalies. All the tested microphysics schemes exhibit biases in the shapes of the histograms of radiative fluxes and radar reflectivity. Histograms of radiative fluxes and brightness temperature indicate that radiative biases are not evenly distributed; the most significant bias occurs in rainy areas with OLR less than 150 W/m(2) in the 2M schemes. Analysis of simulated radar reflectivities indicates that this radiative flux uncertainty is closely related to the simulated stratiform cloud coverage. Single-moment schemes underestimate stratiform cloudiness by a factor of 2, whereas 2M schemes simulate much more stratiform cloud.
引用
收藏
页码:1472 / 1498
页数:27
相关论文
共 50 条
  • [21] Large-Scale Transient Simulations of Breast Cancer Tumour's Reflections using a 31-Element Conformal Array
    Fumeaux, Christophe
    Klemm, Maciej
    Baumann, Dirk
    ASIA-PACIFIC MICROWAVE CONFERENCE 2011, 2011, : 1993 - 1996
  • [22] Detection of large-scale synchrotron radiation from the molecular envelope of the Sgr B cloud complex at the Galactic centre
    Yusef-Zadeh, F.
    Wardle, M.
    Arendt, R.
    Hewitt, J.
    Hu, Y.
    Lazarian, A.
    Kassim, N. E.
    Hyman, S.
    Heywood, I.
    MONTHLY NOTICES OF THE ROYAL ASTRONOMICAL SOCIETY, 2024, 527 (01) : 1275 - 1282
  • [23] THERMODYNAMIC PROPERTIES OF MGSIO3 PEROVSKITE DERIVED FROM LARGE-SCALE MOLECULAR-DYNAMICS SIMULATIONS
    WINKLER, B
    DOVE, MT
    PHYSICS AND CHEMISTRY OF MINERALS, 1992, 18 (07) : 407 - 415
  • [24] Elucidation of Signaling Pathways from Large-Scale Phosphoproteomic Data Using Protein Interaction Networks
    Rudolph, Jan Daniel
    de Graauw, Marjo
    van de Water, Bob
    Geiger, Tamar
    Sharan, Roded
    CELL SYSTEMS, 2016, 3 (06) : 585 - +
  • [25] Negative protein-protein interaction datasets derived from large-scale two-hybrid experiments
    Trabuco, Leonardo G.
    Betts, Matthew J.
    Russell, Robert B.
    METHODS, 2012, 58 (04) : 343 - 348
  • [26] Probing the Response of Tropical Deep Convection to Aerosol Perturbations Using Idealized Cloud-Resolving Simulations with Parameterized Large-Scale Dynamics
    Anber, Usama M.
    Wang, Shuguang
    Gentine, Pierre
    Jensen, Michael P.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2019, 76 (09) : 2885 - 2897
  • [27] AUTOMATIC HANDLING OF DATA FROM A LARGE-SCALE DOG RADIATION EXPERIMENT USING A GENERAL PURPOSE COMPUTER
    DIPERT, MH
    PAGELS, JA
    RADIATION RESEARCH, 1965, 25 (01) : 185 - &
  • [28] Large-Scale Crustal Structure Beneath Singapore Using Receiver Functions From a Dense Urban Nodal Array
    Lythgoe, Karen H.
    Qing, Miranda Ong Su
    Wei, Shengji
    GEOPHYSICAL RESEARCH LETTERS, 2020, 47 (07)
  • [29] Investigations of Farm-to-Farm Interactions and Blockage Effects from AWAKEN Using Large-Scale Numerical Simulations
    Cheung, Lawrence
    Hsieh, Alan
    Blaylock, Myra
    Herges, Thomas
    deVelder, Nathaniel
    Brown, Kenneth
    Sakievich, Philip
    Houck, Daniel
    Maniaci, David
    Kaul, Collen
    Rai, Raj
    Hamilton, Nicholas
    Rybchuk, Alex
    Scott, Ryan
    Thedin, Regis
    Brazell, Michael
    Churchfield, Matthew
    Sprague, Michael
    WAKE CONFERENCE 2023, 2023, 2505
  • [30] POWER-SYSTEM MODAL IDENTIFICATION FROM LARGE-SCALE SIMULATIONS USING MODEL ADAPTIVE REFERENCE CONTROL
    GRUND, CE
    IEEE TRANSACTIONS ON POWER APPARATUS AND SYSTEMS, 1978, 97 (03): : 780 - 788