Contributions of the Liquid and Ice Phases to Global Surface Precipitation: Observations and Global Climate Modeling

被引:46
|
作者
Heymsfield, Andrew J. [1 ]
Schmitt, Carl [2 ]
Chen, Chih-Chieh-Jack [1 ]
Bansemer, Aaron [1 ]
Gettelman, Andrew [1 ]
Field, Paul R. [3 ,4 ]
Liu, Chuntao [5 ]
机构
[1] Natl Ctr Atmospher Res, POB 3000, Boulder, CO 80307 USA
[2] Univ Alaska Fairbanks, Fairbanks, AK USA
[3] Met Off, Exeter, Devon, England
[4] Univ Leeds, Leeds, W Yorkshire, England
[5] Texas A&M Univ, Corpus Christi, TX USA
关键词
BOUNDARY-LAYER; PART I; CONVECTION; FREQUENCY; TRENDS; SCHEME; SNOW; RAIN; PARAMETERIZATION; VARIABILITY;
D O I
10.1175/JAS-D-19-0352.1
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
This study is the first to reach a global view of the precipitation process partitioning, using a combination of satellite and global climate modeling data. The pathways investigated are 1) precipitating ice (ice/snow/graupel) that forms above the freezing level and melts to produce rain (S) followed by additional condensation and collection as the melted precipitating ice falls to the surface (R); 2) growth completely through condensation and collection (coalescence), warm rain (W); and 3) precipitating ice (primarily snow) that falls to the surface (SS). To quantify the amounts, data from satellite-based radar measurements-CloudSat, GPM, and TRMM-are used, as well as climate model simulations from the Community Atmosphere Model (CAM) and the Met Office Unified Model (UM). Total precipitation amounts and the fraction of the total precipitation amount for each of the pathways is examined latitudinally, regionally, and globally. Carefully examining the contributions from the satellite-based products leads to the conclusion that about 57% of Earth's precipitation follows pathway S, 15% R, 23% W, and 5% SS, each with an uncertainty of +/- 5%. The percentages differ significantly from the global climate model results, with the UM indicating smaller fractional S, more R, and more SS; and CAM showing appreciably greater S, negative R (indicating net evaporation below the melting layer), a much larger percentage of W and much less SS. Possible reasons for the wide differences between the satellite- and model-based results are discussed.
引用
收藏
页码:2629 / 2648
页数:20
相关论文
共 50 条
  • [1] Global trends in extreme precipitation: climate models versus observations
    Asadieh, B.
    Krakauer, N. Y.
    [J]. HYDROLOGY AND EARTH SYSTEM SCIENCES, 2015, 19 (02) : 877 - 891
  • [2] Global observations of aerosol-cloud-precipitation-climate interactions
    Rosenfeld, Daniel
    Andreae, Meinrat O.
    Asmi, Ari
    Chin, Mian
    de Leeuw, Gerrit
    Donovan, David P.
    Kahn, Ralph
    Kinne, Stefan
    Kivekas, Niku
    Kulmala, Markku
    Lau, William
    Schmidt, K. Sebastian
    Suni, Tanja
    Wagner, Thomas
    Wild, Martin
    Quaas, Johannes
    [J]. REVIEWS OF GEOPHYSICS, 2014, 52 (04) : 750 - 808
  • [3] Discrepancies with satellite observations in the spatial structure of global precipitation as derived from global climate models
    Tapiador, Francisco J.
    Navarro, Andres
    Jimenez, Alfonso
    Moreno, Raul
    Garcia-Ortega, Eduardo
    [J]. QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2018, 144 : 419 - 435
  • [4] Global patterns of lake ice phenology and climate: Model simulations and observations
    Walsh, SE
    Vavrus, SJ
    Foley, JA
    Fisher, VA
    Wynne, RH
    Lenters, JD
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 1998, 103 (D22) : 28825 - 28837
  • [5] Intercomparison of daily precipitation persistence in multiple global observations and climate models
    Moon, Heewon
    Gudmundsson, Lukas
    Guillod, Benoit P.
    Venugopal, V.
    Seneviratne, Sonia I.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2019, 14 (10):
  • [6] Regionalizing Africa: Patterns of Precipitation Variability in Observations and Global Climate Models
    Badr, Hamada S.
    Dezfuli, Amin K.
    Zaitchik, Benjamin F.
    Peters-Lidard, Christa D.
    [J]. JOURNAL OF CLIMATE, 2016, 29 (24) : 9027 - 9043
  • [7] POLAR ICE AND GLOBAL CLIMATE MACHINE
    FLETCHER, JO
    [J]. SCIENCE AND PUBLIC AFFAIRS-BULLETIN OF THE ATOMIC SCIENTISTS, 1970, 26 (10): : 40 - 47
  • [8] Numerical modeling of ocean swell contributions to the global wind-wave climate
    Alves, JHGM
    [J]. OCEAN MODELLING, 2006, 11 (1-2) : 98 - 122
  • [9] What Is the Contribution of Convergence Zones to Global Precipitation? Assessing Observations and Climate Models Biases
    Perez, Gabriel
    Vidale, Pier Luigi
    Dacre, Helen
    Martin, Thomas
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2024, 129 (09)
  • [10] Contributions of developed and developing countries to global climate forcing and surface temperature change
    Ward, D. S.
    Mahowald, N. M.
    [J]. ENVIRONMENTAL RESEARCH LETTERS, 2014, 9 (07):