Advanced Search
Article Contents

Validation of the Polar MM5 for Use in the Simulation of the Arctic River Basins


doi: 10.1007/s00376-007-0863-6

  • The simulations were performed using a modified mesoscale model, the Polar MM5, which was adapted for use within polar regions. The objective of the study was to illustrate the skill of the Polar MM5 in simulating atmospheric behavior over the Arctic river basins. Automatic weather station data, global atmospheric analyses, as well as near-surface and upper-air observations were used to verify the simulation. Parallel simulations of the Polar MM5 and the original MM5 within the period 19--29 April 1997 simulations revealed that Polar MM5 reproduced better near-surface variables forecasts than the original MM5 for the region located over the North American Arctic regions. The well predicted near-surface temperature and mixing ratio by the Polar MM5 confirmed the modified physical parameterization schemes that were used in this model are appropriate for the Arctic river regions. Then the extended evaluations of the Polar MM5 simulations over both the North American and Eurasian domains during 15 December 2002 to 15 May 2003 were then carried out. The time series plots and statistical analyses from the observations and the Polar MM5 simulations at 16 stations for the near-surface and vertical profiles at 850 hPa and 500 hPa variables were analyzed. The model was found to reproduce the observed atmospheric state both at magnitude and variability with a high degree of accuracy, especially for temperature and near-surface winds, although there was a slight cold bias that existed near the surface.
  • [1] Yidan SI, Shenshen LI, Liangfu CHEN, Chao YU, Zifeng WANG, Yang WANG, Hongmei WANG, 2018: Validation and Spatiotemporal Distribution of GEOS-5-Based Planetary Boundary Layer Height and Relative Humidity in China, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 479-492.  doi: 10.1007/s00376-017-6275-3
    [2] SUN Lan, XUE Yongkang, 2004: Validation of SSiB Model over Grassland with CHeRES Field Experiment Data in 2001, ADVANCES IN ATMOSPHERIC SCIENCES, 21, 547-556.  doi: 10.1007/BF02915722
    [3] Dai Yongjiu, Zeng Qingcun, 1997: A Land Surface Model (IAP94) for Climate Studies Part I: Formulation and Validation in Off-line Experiments, ADVANCES IN ATMOSPHERIC SCIENCES, 14, 433-460.  doi: 10.1007/s00376-997-0063-4
    [4] Yanyu KANG, Guiqian TANG, Qihua LI, Baoxian LIU, Jianfeng CAO, Qihou HU, Yuesi WANG, 2021: Evaluation and Evolution of MAX-DOAS-observed Vertical NO2 Profiles in Urban Beijing, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 1188-1196.  doi: 10.1007/s00376-021-0370-1
    [5] WANG Aihui, ZENG Xubin, 2009: Improving the Treatment of the Vertical Snow Burial Fraction over Short Vegetation in the NCAR CLM3, ADVANCES IN ATMOSPHERIC SCIENCES, 26, 877-886.  doi: 10.1007/s00376-009-8098-3
    [6] Jiajia Jia, Zhaoliang Zeng, Wenqian Zhang, Xiangdong Zheng, Yaqiang Wang, Minghu Ding, 2023: How well do the downward shortwave radiation products from satellite and reanalysis over the transect of Zhongshan Station to Dome A, East Antarctica?, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3136-0
    [7] Zhongfeng XU, Ying HAN, Meng-Zhuo ZHANG, Chi-Yung TAM, Zong-Liang YANG, Ahmed M. EL KENAWY, Congbin FU, 2024: Assessing the Performance of a Dynamical Downscaling Simulation Driven by a Bias-Corrected CMIP6 Dataset for Asian Climate, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3101-y
    [8] XU Zhifang, GE Wenzhong, DANG Renqing, Toshio IGUCHI, Takao TAKADA, 2003: Application of TRMM/PR Data for Numerical Simulations with Mesoscale Model MM5, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 185-193.  doi: 10.1007/s00376-003-0003-x
    [9] Xiao Qingnong, Guo Weidong, Zhou Xiaoping, 1996: Preliminary Results from Numerical Experiments of a Heavy Rain Process with PENN STATE / NCAR MM5, ADVANCES IN ATMOSPHERIC SCIENCES, 13, 539-547.  doi: 10.1007/BF03342044
    [10] Yang Xiaosong, Lin Zhaohui, Dai Yongjiu, Guo Yufu, 2001: Validation of IAP94 Land Surface Model over the Huaihe River Basin with HUBEX Field Experiment Data, ADVANCES IN ATMOSPHERIC SCIENCES, 18, 139-154.  doi: 10.1007/s00376-001-0009-1
    [11] Xuejie GAO, Ying SHI, Zhenyu HAN, Meili WANG, Jia WU, Dongfeng ZHANG, Ying XU, Filippo GIORGI, 2017: Performance of RegCM4 over Major River Basins in China, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 441-455.  doi: 10.1007/s00376-016-6179-7
    [12] Myoung-Hwan AHN, Mee-Ja KIM, Chu-Yong CHUNG, Ae-Sook SUH, 2003: Operational Implementation of the ATOVS Processing Procedure in KMA and Its Validation, ADVANCES IN ATMOSPHERIC SCIENCES, 20, 398-414.  doi: 10.1007/BF02690798
    [13] Zhang Yu, Lu Shihua, 2002: Development and Validation of a Simple Frozen Soil Parameterization Scheme Used for Climate Model, ADVANCES IN ATMOSPHERIC SCIENCES, 19, 513-527.  doi: 10.1007/s00376-002-0083-z
    [14] WU Xuebao, LI Jun, ZHANG Wenjian, WANG Fang, 2005: Atmospheric Profile Retrieval with AIRS Data and Validation at the ARM CART Site, ADVANCES IN ATMOSPHERIC SCIENCES, 22, 647-654.  doi: 10.1007/BF02918708
    [15] YU Lejiang, ZHANG Zhanhai, ZHOU Mingyu, Shiyuan ZHONG, Donald LENSCHOW, Hsiaoming HSU, WU Huiding, SUN Bo, 2010: Validation of ECMWF and NCEP--NCAR Reanalysis Data in Antarctica, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1151-1168.  doi: 10.1007/s00376-010-9140-1
    [16] Dan WANG, Aihui WANG, Lianlian XU, Xianghui KONG, 2020: The Linkage between Two Types of El Niño Events and Summer Streamflow over the Yellow and Yangtze River Basins, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 160-172.  doi: 10.1007/s00376-019-9049-2
    [17] QIN Peihua, XIE Zhenghui,   YUAN Xing, 2013: Incorporating groundwater dynamics and surface/subsurface runoff mechanisms in regional climate modeling over river basins in China, ADVANCES IN ATMOSPHERIC SCIENCES, 30, 983-996.  doi: 10.1007/s00376-012-2095-7
    [18] Yali LUO, Weimiao QIAN, Yu GONG, Hongyan WANG, Da-Lin ZHANG, 2016: Ground-Based Radar Reflectivity Mosaic of Mei-yu Precipitation Systems over the Yangtze River-Huaihe River Basins, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 1285-1296.  doi: 10.1007/s00376-016-6022-1
    [19] XU Dongmei, Thomas AULIGNÈ, Xiang-Yu HUANG, 2015: A Validation of the Multivariate and Minimum Residual Method for Cloud Retrieval Using Radiance from Multiple Satellites, ADVANCES IN ATMOSPHERIC SCIENCES, 32, 349-362.  doi: 10.1007/s00376-014-3258-5
    [20] Yongjian HE, Zhi'an SUN, Guoping SHI, Jingmiao LIU, Jiandong LI, 2017: Modification of the SUNFLUX Solar Radiation Scheme with a New Aerosol Parameterization and Its Validation Using Observation Network Data, ADVANCES IN ATMOSPHERIC SCIENCES, 34, 1301-1315.  doi: 10.1007/s00376-016-6262-0

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 September 2007
Manuscript revised: 10 September 2007
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索

Validation of the Polar MM5 for Use in the Simulation of the Arctic River Basins

  • 1. First Institute of Oceanography, State Oceanic Administration, Qingdao 266061,First Institute of Oceanography, State Oceanic Administration, Qingdao 266061

Abstract: The simulations were performed using a modified mesoscale model, the Polar MM5, which was adapted for use within polar regions. The objective of the study was to illustrate the skill of the Polar MM5 in simulating atmospheric behavior over the Arctic river basins. Automatic weather station data, global atmospheric analyses, as well as near-surface and upper-air observations were used to verify the simulation. Parallel simulations of the Polar MM5 and the original MM5 within the period 19--29 April 1997 simulations revealed that Polar MM5 reproduced better near-surface variables forecasts than the original MM5 for the region located over the North American Arctic regions. The well predicted near-surface temperature and mixing ratio by the Polar MM5 confirmed the modified physical parameterization schemes that were used in this model are appropriate for the Arctic river regions. Then the extended evaluations of the Polar MM5 simulations over both the North American and Eurasian domains during 15 December 2002 to 15 May 2003 were then carried out. The time series plots and statistical analyses from the observations and the Polar MM5 simulations at 16 stations for the near-surface and vertical profiles at 850 hPa and 500 hPa variables were analyzed. The model was found to reproduce the observed atmospheric state both at magnitude and variability with a high degree of accuracy, especially for temperature and near-surface winds, although there was a slight cold bias that existed near the surface.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return