Tidally induced variations of polar mesospheric cloud altitudes and ice water content using a data assimilation system

被引:41
|
作者
Stevens, Michael H. [1 ]
Siskind, David E. [1 ]
Eckermann, Stephen D. [1 ]
Coy, Lawrence [1 ]
McCormack, John P. [1 ]
Englert, Christoph R. [1 ]
Hoppel, Karl W. [2 ]
Nielsen, Kim [3 ]
Kochenash, Andrew J. [3 ]
Hervig, Mark E. [4 ]
Randall, Cora E. [5 ,6 ]
Lumpe, Jerry [7 ]
Bailey, Scott M. [8 ]
Rapp, Markus [9 ]
Hoffmann, Peter [9 ]
机构
[1] USN, Res Lab, Div Space Sci, Washington, DC 20375 USA
[2] USN, Res Lab, Remote Sensing Div, Washington, DC 20375 USA
[3] Computat Phys Inc, Springfield, VA USA
[4] GATS Inc, Driggs, ID 83422 USA
[5] Univ Colorado, Lab Atmospher & Space Phys, Boulder, CO 80309 USA
[6] Univ Colorado, Dept Atmospher & Ocean Sci, Boulder, CO 80309 USA
[7] Computat Phys Inc, Boulder, CO 80301 USA
[8] Virginia Polytech Inst & State Univ, Dept Elect & Comp Engn, Blacksburg, VA 24061 USA
[9] Leibniz Inst Atmospher Phys eV, D-18225 Kuhlungsborn, Germany
关键词
NOCTILUCENT CLOUDS; SUMMER MESOPAUSE; PARTICLE-SIZE; DIURNAL-VARIATIONS; LIDAR; TEMPERATURES; MORPHOLOGY; MODEL; VAPOR; TIDES;
D O I
10.1029/2009JD013225
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
A variety of spaceborne experiments have observed polar mesospheric clouds (PMC) since the late 20th century. Many of these experiments are on satellites in Sun-synchronous orbits and therefore allow observations only at fixed local times (LT). Temperature oscillations over the diurnal cycle are an important source of PMC variability. In order to quantify long-term natural or anthropogenic changes in PMCs, it is therefore essential to understand their variation over the diurnal cycle. To this end, we employ a prototype global numerical weather prediction system that assimilates satellite temperature and water vapor observations from the ground to similar to 90 km altitude. We assemble the resulting 6 hourly high-altitude meteorological assimilation fields from June 2007 in both LT and latitude and use them to drive a one-dimensional PMC formation model with cosmic smoke serving as nucleation sites. We find that there is a migrating diurnal temperature tide at 69 degrees N with a variation of +/-4 K at 83 km, which controls the variation of PMC total ice water content (IWC) over the diurnal cycle. The calculated IWC is normalized to observations at 2300 LT by the Solar Occultation for Ice Experiment and allowed to vary with temperature over the diurnal cycle. We find that the IWC at 69 degrees N has a single maximum between 0700 and 0800 LT and a minimum between 1900 and 2200 LT and varies by at least a factor of 5. The calculated variation of IWC with LT is substantially larger at 57 degrees N, with a single prominent peak near 0500 LT.
引用
收藏
页数:13
相关论文
共 50 条
  • [31] Research on the Distribution and Content of Water Ice in Lunar Pole Regions Using Clementine UVVIS Data
    孟治国
    陈圣波
    路鹏
    汪自军
    连懿
    周超
    Journal of Earth Science, 2011, (05) : 595 - 600
  • [32] An improved retrieval method for liquid water content of the Antarctic ice sheet using SMOS data
    Zhou, Yi
    Feng, Yongjiu
    Cao, Yuze
    Chen, Shurui
    Wang, Rong
    Wang, Xiaofeng
    Xiao, Changjiang
    Ye, Zhen
    Tong, Xiaohua
    GEOCARTO INTERNATIONAL, 2025, 40 (01)
  • [33] Research on the distribution and content of water ice in lunar pole regions using Clementine UVVIS data
    Meng, Zhiguo
    Chen, Shengbo
    Lu, Peng
    Wang, Zijun
    Lian, Yi
    Zhou, Chao
    JOURNAL OF EARTH SCIENCE, 2011, 22 (05) : 595 - 600
  • [34] Research on the distribution and content of water ice in lunar pole regions using Clementine UVVIS data
    Zhiguo Meng
    Shengbo Chen
    Peng Lu
    Zijun Wang
    Yi Lian
    Chao Zhou
    Journal of Earth Science, 2011, 22 : 595 - 600
  • [35] A prototype method for diagnosing high ice water content probability using satellite imager data
    Yost, Christopher R.
    Bedka, Kristopher M.
    Minnis, Patrick
    Nguyen, Louis
    Strapp, J. Walter
    Palikonda, Rabindra
    Khlopenkov, Konstantin
    Spangenberg, Douglas
    Smith, William L., Jr.
    Protat, Alain
    Delanoe, Julien
    ATMOSPHERIC MEASUREMENT TECHNIQUES, 2018, 11 (03) : 1615 - 1637
  • [36] Mesospheric Precursors to the Major Stratospheric Sudden Warming of 2009: Validation and Dynamical Attribution Using a Ground-to-Edge-of-Space Data Assimilation System
    Coy, L.
    Eckermann, S. D.
    Hoppel, K. W.
    Sassi, F.
    JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS, 2011, 3
  • [37] Assimilation of satellite cloud data into the GMAO finite-volume data assimilation system using a parameter estimation method. Part I: Motivation and algorithm description
    Norris, Peter M.
    Da Silva, Arlindo M.
    JOURNAL OF THE ATMOSPHERIC SCIENCES, 2007, 64 (11) : 3880 - 3895
  • [38] Ensemble forecast experiments of summertime sea ice in the Arctic Ocean using the TOPAZ4 ice-ocean data assimilation system
    Nakanowatari, T.
    Xie, J.
    Bertino, L.
    Matsueda, M.
    Yamagami, A.
    Inoue, J.
    ENVIRONMENTAL RESEARCH, 2022, 209
  • [39] Summary of Additional In-situ Cloud Data in High Ice Water Content Conditions from Three Recent Flight Campaigns
    Stapp, J. W.
    Ratvasky, T. P.
    Bansemer, A.
    Lilie, L. E.
    Harrah, S. D.
    Diskin, G. S.
    DiGangi, J. P.
    Dumont, C.
    AIAA AVIATION FORUM AND ASCEND 2024, 2024,
  • [40] ESTIMATING ENERGY, WATER AND CARBON FLUX OVER AFRICA WITH USING A LAND DATA ASSIMILATION SYSTEM
    Lu, Hui
    Koike, Toshio
    Rasmy, Mohamed
    2012 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS), 2012, : 4879 - 4882