An evaluation of the NCEP RSM for regional climate modeling

被引:0
|
作者
Hong, SY
Leetmaa, A
机构
[1] Natl Ctr Environm Predict, Environm Modeling Ctr, GSC, SAIC, Camp Springs, MD 20746 USA
[2] Natl Ctr Environm Predict, Climate Predict Ctr, Washington, DC USA
关键词
D O I
10.1175/1520-0442(1999)012<0592:AEOTNR>2.0.CO;2
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
In this study, the National Centers for Environmental Prediction (NCEP) Regional Spectral Model(RSM) has been evaluated as a means of enhancing the depiction of regional details beyond that which is capable in low-resolution global models. Three-month-long simulations driven by the NCEP-National Center for Atmospheric Research 40-yr reanalysis data are conducted with a horizontal resolution of about 50 km over the United States, for the two winters and summers. The selected winter cases are December-February (DJF) 1991/92 (warm eastern Pacific SST anomalies) and DJF 1992/93 (normal eastern Pacific SST anomalies). Summer cases are May-July (MJJ) 1988 (a drought in the Great Plains) and MJJ 1993 (a Flooding). Overall, the results from the model an very satisfactory in terms of the precipitation distribution for different seasons as well as the representation of large-scale features. Evaluation of simulated large-scale features reveals that the model does nor exhibit a discernible synoptic-scale drift during the 3-month integration period. irrespective of the seasons. Surprisingly, the model simulation is found to correct some biases in the large-scale fields that exist in the reanalysis data. This bias reduction is attributed to the improved depiction of physical processes within the RSM. This finding indicates that one should rake special care in the interpretation and validation of simulated results against the analyzed data. Evaluation of the RSM simulated precipitation for the winter and summer cases generally agrees with results obtained from previous studies. For instance, the skill for simulated precipitation in the winter cases exceeds that of the summer cases by a factor of 2. Comparison of simulated precipitation with observations reveals the 3-month-long RSM simulated precipitation to be more skillful than that obtained from the reanalysis data (the 6-h forecast from the data assimilation system). In addition to seasonal variations in precipitation. daily variation in the simulated precipitation is quite good. However, detailed analysis point:, to the need for further RSM development, particularly in physics. In the summer cases the grid-resolvable precipitation physics simulate excessive precipitation over the northern United States. A more serious problem is found in the diurnal cycle of the simulation precipitation, in that the model initiates convection too early. Despite these deficiencies, it is concluded that the NCEP RSM is a very useful tool for regional climate studies.
引用
收藏
页码:592 / 609
页数:18
相关论文
共 50 条
  • [21] THE NCEP CLIMATE FORECAST SYSTEM REANALYSIS
    Saha, Suranjana
    Moorthi, Shrinivas
    Pan, Hua-Lu
    Wu, Xingren
    Wang, Jiande
    Nadiga, Sudhir
    Tripp, Patrick
    Kistler, Robert
    Woollen, John
    Behringer, David
    Liu, Haixia
    Stokes, Diane
    Grumbine, Robert
    Gayno, George
    Wang, Jun
    Hou, Yu-Tai
    Chuang, Hui-Ya
    Juang, Hann-Ming H.
    Sela, Joe
    Iredell, Mark
    Treadon, Russ
    Kleist, Daryl
    Van Delst, Paul
    Keyser, Dennis
    Derber, John
    Ek, Michael
    Meng, Jesse
    Wei, Helin
    Yang, Rongqian
    Lord, Stephen
    Van den Dool, Huug
    Kumar, Arun
    Wang, Wanqiu
    Long, Craig
    Chelliah, Muthuvel
    Xue, Yan
    Huang, Boyin
    Schemm, Jae-Kyung
    Ebisuzaki, Wesley
    Lin, Roger
    Xie, Pingping
    Chen, Mingyue
    Zhou, Shuntai
    Higgins, Wayne
    Zou, Cheng-Zhi
    Liu, Quanhua
    Chen, Yong
    Han, Yong
    Cucurull, Lidia
    Reynolds, Richard W.
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2010, 91 (08) : 1015 - 1057
  • [22] A climate version of the Regional Atmospheric Modeling System
    Liston, GE
    Pielke, RA
    [J]. THEORETICAL AND APPLIED CLIMATOLOGY, 2000, 66 (1-2) : 29 - 47
  • [23] A framework for modeling uncertainty in regional climate change
    Monier, Erwan
    Gao, Xiang
    Scott, Jeffery R.
    Sokolov, Andrei P.
    Schlosser, C. Adam
    [J]. CLIMATIC CHANGE, 2015, 131 (01) : 51 - 66
  • [24] REGIONAL CLIMATE MODELING IN THE CALIFORNIA CURRENT SYSTEM
    Curchitser, Enrique
    Small, Justin
    Kaufman, Brian
    Large, William
    Hedstrom, Kate
    [J]. CALIFORNIA COOPERATIVE OCEANIC FISHERIES INVESTIGATIONS REPORTS, 2015, 56 : 76 - 77
  • [25] ADVANCES IN REGIONAL CLIMATE MODELING SINCE 1990
    赵宗慈
    罗勇
    [J]. Journal of Meteorological Research, 1997, (04) : 385 - 406
  • [26] CHALLENGES IN REGIONAL-SCALE CLIMATE MODELING
    Arritt, Raymond W.
    Rummukainen, Markku
    [J]. BULLETIN OF THE AMERICAN METEOROLOGICAL SOCIETY, 2011, 92 (03) : 365 - 368
  • [27] Regional climate modeling: Progress, challenges, and prospects
    Wang, YQ
    Leung, LR
    McGregor, JL
    Lee, DK
    Wang, WC
    Ding, YH
    Kimura, F
    [J]. JOURNAL OF THE METEOROLOGICAL SOCIETY OF JAPAN, 2004, 82 (06) : 1599 - 1628
  • [28] A Climate Version of the Regional Atmospheric Modeling System
    G. E. Liston
    R. A. Pielke
    [J]. Theoretical and Applied Climatology, 2000, 66 : 29 - 47
  • [29] A framework for modeling uncertainty in regional climate change
    Erwan Monier
    Xiang Gao
    Jeffery R. Scott
    Andrei P. Sokolov
    C. Adam Schlosser
    [J]. Climatic Change, 2015, 131 : 51 - 66
  • [30] A climate version of the regional atmospheric modeling system
    G. E. Liston
    R. A. Pielke
    [J]. Theoretical and Applied Climatology, 2001, 68 : 155 - 173