Precipitation Diurnal Cycle Assessment in Convection-Permitting Simulations in Southeastern South America

被引:1
|
作者
da Rocha, Rosmeri Porfirio [1 ]
Llopart, Marta [2 ]
Reboita, Michelle Simoes [3 ,4 ]
Bettolli, Maria Laura [5 ]
Solman, Silvina [6 ]
Fernandez, Jesus [7 ]
Milovac, Josipa [7 ]
Feijoo, Martin [8 ]
Coppola, Erika [4 ]
机构
[1] Univ Sao Paulo, Dept Ciencias Atmosfer, Sao Paulo, SP, Brazil
[2] Univ Estadual Paulista Julio Mesquita Filho UNESP, Bauru, SP, Brazil
[3] Univ Fed Itajuba UNIFEI, Inst Recursos Nat, Ave BPS 1303, Itajuba, MG, Brazil
[4] Abdus Salam Int Ctr Theoret Phys, Earth Syst Phys Sect, I-34151 Trieste, Italy
[5] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ciencias Atmosfera & Oceanos,Consejo Nacl Inv, Buenos Aires, Argentina
[6] Univ Buenos Aires, Fac Ciencias Exactas & Nat, Dept Ciencias Atmosfera & Oceanos,CONICET,Ctr Inv, Ciudad Univ Pabellón 2 Piso 2,C1428EGA, Buenos Aires, Argentina
[7] Univ Cantabria, Inst Fis Cantabria IFCA, CSIC, Santander, Spain
[8] Natl Meteorol Weather Serv Argentina, Buenos Aires, Argentina
关键词
Heavy precipitation; Diurnal cycle; Local climate; Convection-permitting; Southeastern South America; PART II; RAINFALL; SYSTEMS; REGCM4; CLOUD;
D O I
10.1007/s41748-023-00361-1
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Convection-permitting (CP) simulations were evaluated during the wet season from October 2009 to March 2010, characterized by numerous extreme daily rainfall events in southeastern South America. We analyzed six simulations using WRY (versions 3.8.1 and 3.9.0) and RegCM4, considering parameterized convective processes (20 km resolution, non-CP) and a nested CP domain (4 km resolution, with convective parameterization switched off). First, we assessed the performance of six gridded datasets (CMORPH, ERA5, GSMAP, MSWEP, PERSIANN, and TRMM) in reproducing 3-h accumulated precipitation observed in 54 stations. The station data exhibited highly diverse diurnal cycles of precipitation, with different times for maximum and minimum, often showing double peaks. The most intense peak is observed at 09:00 am local time (LT), representing nighttime precipitation. CMORPH and ERA5 showed better agreement with the observations. The non-CP simulations failed to capture the diversity of diurnal cycles observed, which is better captured by CP simulations. When comparing non-CP and CP, WRF-CP shifts the afternoon peaks (at 12:00 pm and 03:00 pm LT) to the morning (at 06:00-09:00 am LT), while RegCM4-CP shifts some peaks from dawn (at 03:00 am LT) to the morning (at 09:00 am LT). Both shifts, along with the increase in the diversity of diurnal cycles, are notable features to obtain better agreement of CP simulations with local observations. The observed morning peak of mean precipitation diurnal cycles is primarily influenced by higher frequency of heavy rainfall events rather than by their intensities.
引用
收藏
页码:1 / 19
页数:19
相关论文
共 50 条
  • [41] Impacts of aerosols on seasonal precipitation and snowpack in California based on convection-permitting WRF-Chem simulations
    Wu, Longtao
    Gu, Yu
    Jiang, Jonathan H.
    Su, Hui
    Yu, Nanpeng
    Zhao, Chun
    Qian, Yun
    Zhao, Bin
    Liou, Kuo-Nan
    Choi, Yong-Sang
    ATMOSPHERIC CHEMISTRY AND PHYSICS, 2018, 18 (08) : 5529 - 5547
  • [42] Improved summer daily and sub-daily precipitation over Eastern China in convection-permitting simulations
    Guo, Ziyue
    Fang, Juan
    Shao, Min
    Tang, Jie
    Tang, Jianping
    ATMOSPHERIC RESEARCH, 2022, 265
  • [43] Evaluation and projected changes of precipitation statistics in convection-permitting WRF climate simulations over Central Europe
    Knist, Sebastian
    Goergen, Klaus
    Simmer, Clemens
    CLIMATE DYNAMICS, 2020, 55 (1-2) : 325 - 341
  • [44] Prediction of heavy precipitation in the eastern China flooding events of 2016: Added value of convection-permitting simulations
    Li, Puxi
    Guo, Zhun
    Furtado, Kalli
    Chen, Haoming
    Li, Jian
    Milton, Sean
    Field, Paul R.
    Zhou, Tianjun
    QUARTERLY JOURNAL OF THE ROYAL METEOROLOGICAL SOCIETY, 2019, 145 (724) : 3300 - 3319
  • [45] Evaluation and projected changes of precipitation statistics in convection-permitting WRF climate simulations over Central Europe
    Sebastian Knist
    Klaus Goergen
    Clemens Simmer
    Climate Dynamics, 2020, 55 : 325 - 341
  • [46] A new mechanism for warm-season precipitation response to global warming based on convection-permitting simulations
    Aiguo Dai
    Roy M. Rasmussen
    Changhai Liu
    Kyoko Ikeda
    Andreas F. Prein
    Climate Dynamics, 2020, 55 : 343 - 368
  • [47] Evaluating Convection-Permitting Ensemble Forecasts of Precipitation over Southeast Asia
    Ferrett, Samantha
    Frame, Thomas H. A.
    Methven, John
    Holloway, Christopher E.
    Webster, Stuart
    Stein, Thorwald H. M.
    Cafaro, Carlo
    WEATHER AND FORECASTING, 2021, 36 (04) : 1199 - 1217
  • [48] Statistical Assessment of Tropical Convection-Permitting Model Simulations Using a Cell-Tracking Algorithm
    Caine, Simon
    Lane, Todd P.
    May, Peter T.
    Jakob, Christian
    Siems, Steven T.
    Manton, Michael J.
    Pinto, James
    MONTHLY WEATHER REVIEW, 2013, 141 (02) : 557 - 581
  • [49] Convection-parameterized and convection-permitting modelling of heavy precipitation in decadal simulations of the greater Alpine region with COSMO-CLM
    Caldas-Alvarez, Alberto
    Feldmann, Hendrik
    Lucio-Eceiza, Etor
    Pinto, Joaquim G.
    WEATHER AND CLIMATE DYNAMICS, 2023, 4 (02): : 543 - 565
  • [50] Convection-permitting regional climate simulations over coastal regions in China
    Jiang, Zhiyu
    Liu, Dongqing
    Dong, Guangtao
    Tang, Jianping
    Wang, Shuguang
    Xiong, Yating
    CLIMATE DYNAMICS, 2024, 62 (08) : 7271 - 7291