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QIAN Xiaoli, QIN Zhengkun, ZHANG Wenjun. 2022. Cloud Liquid Water Path Retrieval Products over the Pacific Ocean and Their Climate Change Characteristics [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 46(6): 1381−1393. DOI: 10.3878/j.issn.1006-9895.2105.21063
Citation: QIAN Xiaoli, QIN Zhengkun, ZHANG Wenjun. 2022. Cloud Liquid Water Path Retrieval Products over the Pacific Ocean and Their Climate Change Characteristics [J]. Chinese Journal of Atmospheric Sciences (in Chinese), 46(6): 1381−1393. DOI: 10.3878/j.issn.1006-9895.2105.21063

Cloud Liquid Water Path Retrieval Products over the Pacific Ocean and Their Climate Change Characteristics

Funds: National Key R&D Program of China (Grant 2016YFC0402702), National Natural Science Foundation of China (Grant 41805076), Fundamental Research Funds of the Chinese Academy of Meteorological Sciences (Grant 2019Z006)
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  • Received Date: April 12, 2021
  • Accepted Date: September 07, 2021
  • Available Online: October 07, 2021
  • Published Date: November 23, 2022
  • Based on the multi-year brightness temperature observation data of the AMSU-A (Advanced Microwave Sounding Unit-A) on the polar-orbiting satellite NOAA-15, a product of cloud liquid water path on the global ocean has been established and compared with ERA5 and FNL/NCEP. We analyzed the ability of retrieval products to reproduce the climate change characteristics of cloud liquid water path, and further analyzed the linear and nonlinear climate change trend characteristics of cloud water path in the Pacific region through linear regression and EEMD (Ensemble Empirical Mode Decomposition) methods. The results show that the CLWP (Cloud Liquid Water Path) inversion data can well reproduce the average spatial distribution characteristics of the years and the corresponding climate change trend. The CLWP climate trend shows obvious latitude zone characteristics, and the increasing and decreasing trends appear with the latitude zone interval. Moreover, in the eastern Pacific region of the northern hemisphere, the latitude zone characteristic of the climatic trend of the CLWP has a phenomenon of migration northward. In contrast, the climatic trend of the inversion product has better similarity with the ERA5 reanalysis data. While the latitude zone characteristics of the trend, especially the northward movement of the latitude zone characteristics, cannot be reproduced well by the FNL data. It is characterized by a decrease in water vapor in the equatorial region, and a significant increase in cloud liquid water paths on both sides.
  • Dai A G, Karl T R, Sun B M, et al. 2006. Recent trends in cloudiness over the United States: A tale of monitoring inadequacies [J]. Bull. Amer. Meteor. Soc., 87: 597−606. doi: 10.1175/BAMS-87-5-597
    Greenwald T J, Stephens G L, Vonder Haar T H, et al. 1993. A physical retrieval of cloud liquid water over the global oceans using Special Sensor Microwave/Imager (SSM/I) observations [J]. J. Geophys. Res., 98: 18471−18488. doi: 10.1029/93JD00339
    Grody N, Zhao J, Ferraro R, et al. 2001. Determination of precipitable water and cloud liquid water over oceans from the NOAA 15 advanced microwave sounding unit [J]. J. Geophys. Res., 106: 2943−2953. doi: 10.1029/2000JD900616
    Huang N E, Wu Z H. 2008. A review on Hilbert-Huang transform: Method and its applications to geophysical studies [J]. Rev. Geophys., 46: RG2006. doi: 10.1029/2007RG000228
    Mo T. 1999. AMSU-A antenna pattern corrections [J]. IEEE Trans. Geosci. Remote Sens., 37: 103−112. doi: 10.1109/36.739131
    Norris J R. 1999. On trends and possible artifacts in global ocean cloud cover between 1952 and 1995 [J]. J. Climate, 12: 1864−1870. doi: 10.1175/1520-0442(1999)012<1864:OTAPAI>2.0.CO;2
    Prabhakara C, Wang I, Chang A T C, et al. 1983. A statistical examination of Nimbus-7 SMMR data and remote sensing of sea surface temperature, liquid water content in the atmosphere and surface wind speed [J]. J. Climate Appl. Meteor., 22: 2023−2037. doi: 10.1175/1520-0450(1983)022<2023:ASEONS>2.0.CO;2
    Qin Z, Zou X, Weng F. 2012. Comparison between linear and nonlinear trends in NOAA-15 AMSU-A brightness temperatures during 1998–2010 [J]. Climate Dyn., 39: 1763−1779. doi: 10.1007/s00382-012-1296-1
    Wentz F J. 1997. A well-calibrated ocean algorithm for special sensor microwave/imager [J]. J. Geophys. Res., 102: 8703−8718. doi: 10.1029/96JC01751
    Weng F Z, Grody N C. 1994. Retrieval of cloud liquid water using the Special Sensor Microwave Imager (SSM/I) [J]. J. Geophys. Res., 99: 25535−25551. doi: 10.1029/94JD02304
    Weng F Z, Grody N C. 2000. Retrieval of ice cloud parameters using a microwave imaging radiometer [J]. J. Atmos. Sci., 57: 1069−1081. doi: 10.1175/1520-0469(2000)057<1069:ROICPU>2.0.CO;2
    Weng F Z, Grody N C, Ferraro R, et al. 1997. Cloud liquid water climatology from the Special Sensor Microwave/Imager [J]. J. Climate, 10: 1086−1098. doi: 10.1175/1520-0442(1997)010<1086:CLWCFT>2.0.CO;2
    Weng F Z, Ferraro R R, Grody N C. 2000. Effects of AMSU cross-scan asymmetry of brightness temperatures on retrieval of atmospheric and surface parameters [M]//Pampaloni P, Paloscia S. Microwave Radiometry and Remote Sensing of the Earth’ s Surface and Atmosphere. Utrecht: VSP, 255–262.
    Weng F Z, Zhao L M, Ferraro R R, et al. 2003. Advanced microwave sounding unit cloud and precipitation algorithms [J]. Radio Sci., 38: 8068. doi: 10.1029/2002RS002679
    Wu Z H, Huang N E. 2009. Ensemble empirical mode decomposition: A noise-assisted data analysis method [J]. Adv. Adapt. Data Anal., 1: 1−41. doi: 10.1142/S1793536909000047
    Wu Z H, Huang N E, Chen X Y. 2009. The multi-dimensional ensemble empirical mode decomposition method [J]. Adv. Adapt. Data Anal., 1: 339−372. doi: 10.1142/S1793536909000187
    Wu Z H, Huang N E, Wallace J M, et al. 2011. On the time-varying trend in global-mean surface temperature [J]. Climate Dyn., 37: 759−773. doi: 10.1007/s00382-011-1128-8

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