Retrieval of planetary boundary layer structure from a ground-based microwave radiometer based on the one dimensional variational method

被引:0
|
作者
Huang Wei [1 ]
Li WanTong [2 ]
Hu Shuai [3 ]
Tuo YuFeng [4 ]
Yu Ting [1 ]
Ni XiangLong [4 ]
机构
[1] Unit 63898 PLA, Jiyuan 459000, Henan, Peoples R China
[2] Tianjin Meteorol Radar Res & Trial Ctr, Tianjin 300061, Peoples R China
[3] Natl Univ Def Technol, Coll Meteorol & Oceanog, Changsha 410073, Peoples R China
[4] Unit 63891 PLA, Luoyang 471000, Henan, Peoples R China
来源
关键词
One dimensional variational; Temperature and water vapor profiles; Ground-based microwave radiometer; Regularization parameter; WATER-VAPOR; CLEAR-SKY; TEMPERATURE; PERFORMANCE;
D O I
10.6038/cjg2023R0585
中图分类号
P3 [地球物理学]; P59 [地球化学];
学科分类号
0708 ; 070902 ;
摘要
Benefiting from their sensitivity to the lower atmosphere, ground-based microwave radiometers are well-established instruments for detecting atmospheric temperature and humidity profiles in the planetary boundary layer. The one-dimensional variational method utilizes the radiative transfer simulation and exhibits high retrieval reliability when applied to ground-based microwave radiometers. For solving the problems of low information content in ground-based microwave radiometers and the low convergence rate of one-dimensional variational method, surface meteorological observations and regularization parameters were introduced to improve the retrieval accuracy in the near-surface layer and the convergence rate. The performances of the methods mentioned above were evaluated using radiosonde observations. The results show that the root-mean-square errors of the temperature and humidity profiles at the surface are reduced by 78.2% and 55.5%, respectively, with the introduction of surface meteorological observations, and the upper atmosphere temperature and humidity profiles also improve slightly. The regularization parameter has little effect on the retrieval time and accuracy of the algorithm, but it can significantly reduce the number of non-converged profiles and improve the quality of the retrieved profiles.
引用
收藏
页码:1699 / 1708
页数:10
相关论文
共 33 条
  • [1] Ground-Based Temperature and Humidity Profiling Using Spectral Infrared and Microwave Observations. Part II: Actual Retrieval Performance in Clear-Sky and Cloudy Conditions
    Blumberg, W. G.
    Turner, D. D.
    Loehnert, U.
    Castleberry, S.
    [J]. JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY, 2015, 54 (11) : 2305 - 2319
  • [2] Microwave Passive Ground-Based Retrievals of Cloud and Rain Liquid Water Path in Drizzling Clouds: Challenges and Possibilities
    Cadeddu, Maria P.
    Marchand, Roger
    Orlandi, Emiliano
    Turner, David D.
    Mech, Mario
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2017, 55 (11): : 6468 - 6481
  • [3] The physical retrieval methodology for IASI:: the δ-IASI code
    Carissimo, A
    De Feis, I
    Serio, C
    [J]. ENVIRONMENTAL MODELLING & SOFTWARE, 2005, 20 (09) : 1111 - 1126
  • [4] Research progress in atmospheric boundary layer
    Che JunHui
    Zhao Ping
    Shi Qian
    Yang QiuYan
    [J]. CHINESE JOURNAL OF GEOPHYSICS-CHINESE EDITION, 2021, 64 (03): : 735 - 751
  • [5] Temperature and humidity profile retrievals from ground-based microwave radiometers during TUC
    Cimini, D
    Hewison, TJ
    Martin, L
    Güldner, J
    Gaffard, C
    Marzano, FS
    [J]. METEOROLOGISCHE ZEITSCHRIFT, 2006, 15 (01) : 45 - 56
  • [6] Thermodynamic Atmospheric Profiling During the 2010 Winter Olympics Using Ground-Based Microwave Radiometry
    Cimini, Domenico
    Campos, Edwin
    Ware, Randolph
    Albers, Steve
    Giuliani, Graziano
    Oreamuno, Jeos
    Joe, Paul
    Koch, Steve E.
    Cober, Stewart
    Westwater, Ed
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2011, 49 (12): : 4959 - 4969
  • [7] Temperature and Humidity Profiling in the Arctic Using Ground-Based Millimeter-Wave Radiometry and 1DVAR
    Cimini, Domenico
    Westwater, Ed R.
    Gasiewski, Albin J.
    [J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2010, 48 (03): : 1381 - 1388
  • [8] A 1DVAR retrieval applied to GMI: Algorithm description, validation, and sensitivities
    Duncan, David I.
    Kummerow, Christian D.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2016, 121 (12) : 7415 - 7429
  • [9] Combining ground-based with satellite-based measurements in the atmospheric state retrieval: Assessment of the information content
    Ebell, K.
    Orlandi, E.
    Huenerbein, A.
    Loehnert, U.
    Crewell, S.
    [J]. JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES, 2013, 118 (13) : 6940 - 6956
  • [10] [樊旭 Fan Xu], 2019, [兰州大学学报. 自然科学版, Journal of Lanzhou University. Natural Science], V55, P587