Advanced Search

Volume 7 Issue 3

Jul.  1990

Article Contents

Sensitivity of Medium-Range Weather Forecasts to the Use of Reference Atmosphere


doi: 10.1007/BF03179761

  • In this paper, the authors develop the earlier work of Chen Jiabin et al. (1986). In order to reduce spectral truncation errors, the reference atmosphere has been introduced in ECMWF model, and the spectrally-represented variables, temperature, geopotential height and orography, are replaced by their deviations from the reference atmos-phere. Two modified semi- implicit schemes have been proposed to alleviate the computational instability due to the introduction of reference atmosphere. Concerning the deviation of surface geopotential height from reference atmos-phere, an exact computational formulation has been used instead of the approximate one in the earlier work. To re-duce aliasing errors in the computations of the deviation of the surface geopotential height, a spectral fit has been used slightly to modify the original Gaussian grid-point values of orography.A series of experiments has been performed in order to assess the impact of the reference atmosphere on ECMWF medium- range forecasts at the resolution T21, T42 and T63, The results we have obtained reveal that the reference atmosphere introduced in ECMWF spectral model is generally beneficial to the mean statistical scores of 1000-200 hPa height 10-day forecasts over the globe. In the Southern Hemisphere, it is a clear improvement for T21, T42 and T63 throughout the 10-day forecast period, In the Northern Hemisphere, the impact of the reference atmos-phere on anomaly correlation is positive for resolution T21, a very slightly damaging at T42 and almost neutral at T63 in the range of day 1 to day 4. Beyond the day 4 there is a clear improvement at all resolutions.
  • [1] Huang Boyin, Zhao Gaoxiang, Ji Liren, 1992: A Numerical Research on the Influences of the Diurnal Variation of Solar Radiation on the Medium-Range Weather Processes, ADVANCES IN ATMOSPHERIC SCIENCES, 9, 231-236.  doi: 10.1007/BF02657513
    [2] Qiu Yongyan, Zhu Yafen, 1987: MEDIUM-RANGE OSCILLATIONS OF SYNOPTIC SYSTEMS IN SUMMER, ADVANCES IN ATMOSPHERIC SCIENCES, 4, 395-402.  doi: 10.1007/BF02656740
    [3] Lu Jingxi, Ding Yihui, 1989: Medium-Range Oscillations in the Summer Tropical Easterlies at 200 hPa, ADVANCES IN ATMOSPHERIC SCIENCES, 6, 301-312.  doi: 10.1007/BF02661536
    [4] Chen Longxun, Jin Zuhui, 1984: THE MEDIUM-RANGE VARIATIONS OF THE SUMMER MONSOON CIRCULATION SYSTEM OVER EAST ASIA, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 224-245.  doi: 10.1007/BF02678135
    [5] Lu Longhua, Chen Xianji, Zhu Fukang, 1985: THE INTERANNUAL VARIATION OF MEDIUM-RANGE OSCILLATION CHARACTERISTICS IN THE UPPER TROPOSPHERE OVER THE SUBTROPICAL REGION, ADVANCES IN ATMOSPHERIC SCIENCES, 2, 54-62.  doi: 10.1007/BF03179737
    [6] Zhang Qihe, Yu Shihua, 1990: Diagnosis of the Medium-Range Variation of the Subtropical High over the Western Pacific during a Meiyu Process by Three-Dimensional E-P Flux, ADVANCES IN ATMOSPHERIC SCIENCES, 7, 463-474.  doi: 10.1007/BF03342565
    [7] Wang Shaowu, 1984: THE RHYTHM IN THE ATMOSPHERE AND OCEANS IN APPLICATION TO LONG-RANGE WEATHER FORECASTING, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 7-29.  doi: 10.1007/BF03187612
    [8] Xiaohao QIN, Wansuo DUAN, Hui XU, 2020: Sensitivity to Tendency Perturbations of Tropical Cyclone Short-range Intensity Forecasts Generated by WRF, ADVANCES IN ATMOSPHERIC SCIENCES, 37, 291-306.  doi: 10.1007/s00376-019-9187-6
    [9] DAN Li, JI Jinjun, LIU Huizhi, 2008: Use of a Land Surface Model to Evaluate the Observed Soil Moisture of Grassland at the Tongyu Reference Site, ADVANCES IN ATMOSPHERIC SCIENCES, 25, 1073-1084.  doi: 10.1007/s00376-008-1073-6
    [10] Swati Basu, K. J. Ramesh, Z. N. Begum, 1999: Medium Range Prediction of Summer Monsoon Activities over India vis-a-vis Their Correspondence with the Observational Features, ADVANCES IN ATMOSPHERIC SCIENCES, 16, 133-146.  doi: 10.1007/s00376-999-0009-0
    [11] Guo Yufu, Chao Jiping, 1984: SIMPLIFIED DYNAMICAL ANOMALY MODEL FOR LONG-RANGE NUMERICAL FORECASTS, ADVANCES IN ATMOSPHERIC SCIENCES, 1, 30-52.  doi: 10.1007/BF03187614
    [12] Jiangshan ZHU, Fanyou KONG, Xiao-Ming HU, Yan GUO, Lingkun RAN, Hengchi LEI, 2018: Impact of Soil Moisture Uncertainty on Summertime Short-range Ensemble Forecasts, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 839-852.  doi: 10.1007/s00376-017-7107-1
    [13] Jorge A. REVELLI, Miguel A. RODR, Horacio S. WIO, 2010: The Use of Rank Histograms and MVL Diagrams to Characterize Ensemble Evolution in Weather Forecasting, ADVANCES IN ATMOSPHERIC SCIENCES, 27, 1425-1437.  doi: 10.1007/s00376-009-9153-6
    [14] Yongku KIM, Balaji RAJAGOPALAN, GyuWon LEE, 2016: Temporal Statistical Downscaling of Precipitation and Temperature Forecasts Using a Stochastic Weather Generator, ADVANCES IN ATMOSPHERIC SCIENCES, 33, 175-183.  doi: 10.1007/s00376-015-5115-6
    [15] Zhao Shengju, Zhou Chaodong, 1986: MODELS FOR MEDIUM- AND LONG-RANGE FORECAST-ING OF THE AMOUNT OF MIGRATION OF FIRST-GENERATION MOTHS INTO THE OUTBREAKING AREA OF THE SECOND- GENERATION ARMYWORM, ADVANCES IN ATMOSPHERIC SCIENCES, 3, 379-384.  doi: 10.1007/BF02678658
    [16] Jin FENG, Min CHEN, Yanjie LI, Jiqin ZHONG, 2021: An Implementation of Full Cycle Strategy Using Dynamic Blending for Rapid Refresh Short-range Weather Forecasting in China, ADVANCES IN ATMOSPHERIC SCIENCES, 38, 943-956.  doi: 10.1007/s00376-021-0316-7
    [17] Jiaqi Zheng, Qing Ling, Jia Li, Yerong Feng, 2023: Improving Short-Range Precipitation Forecast of Numerical Weather Prediction Through a Deep Learning-Based Mask Approach, ADVANCES IN ATMOSPHERIC SCIENCES.  doi: 10.1007/s00376-023-3085-7
    [18] JIANG Zhina, 2006: Applications of Conditional Nonlinear Optimal Perturbation to the Study of the Stability and Sensitivity of the Jovian Atmosphere, ADVANCES IN ATMOSPHERIC SCIENCES, 23, 775-783.  doi: 10.1007/s00376-006-0775-x
    [19] Xiaohao QIN, Wansuo DUAN, Pak-Wai CHAN, Boyu CHEN, Kang-Ning HUANG, 2023: Effects of Dropsonde Data in Field Campaigns on Forecasts of Tropical Cyclones over the Western North Pacific in 2020 and the Role of CNOP Sensitivity, ADVANCES IN ATMOSPHERIC SCIENCES, 40, 791-803.  doi: 10.1007/s00376-022-2136-9
    [20] Tido SEMMLER, Thomas JUNG, Marta A. KASPER, Soumia SERRAR, 2018: Using NWP to Assess the Influence of the Arctic Atmosphere on Midlatitude Weather and Climate, ADVANCES IN ATMOSPHERIC SCIENCES, 35, 5-13.  doi: 10.1007/s00376-017-6290-4

Get Citation+

Export:  

Share Article

Manuscript History

Manuscript received: 10 July 1990
Manuscript revised: 10 July 1990
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

Sensitivity of Medium-Range Weather Forecasts to the Use of Reference Atmosphere

  • 1. Institute of Atmospheric Physics, Academia Sinica, Beijing, 100080,European Centre for Medium-Range Weather Forecasts, Reading, U.K

Abstract: In this paper, the authors develop the earlier work of Chen Jiabin et al. (1986). In order to reduce spectral truncation errors, the reference atmosphere has been introduced in ECMWF model, and the spectrally-represented variables, temperature, geopotential height and orography, are replaced by their deviations from the reference atmos-phere. Two modified semi- implicit schemes have been proposed to alleviate the computational instability due to the introduction of reference atmosphere. Concerning the deviation of surface geopotential height from reference atmos-phere, an exact computational formulation has been used instead of the approximate one in the earlier work. To re-duce aliasing errors in the computations of the deviation of the surface geopotential height, a spectral fit has been used slightly to modify the original Gaussian grid-point values of orography.A series of experiments has been performed in order to assess the impact of the reference atmosphere on ECMWF medium- range forecasts at the resolution T21, T42 and T63, The results we have obtained reveal that the reference atmosphere introduced in ECMWF spectral model is generally beneficial to the mean statistical scores of 1000-200 hPa height 10-day forecasts over the globe. In the Southern Hemisphere, it is a clear improvement for T21, T42 and T63 throughout the 10-day forecast period, In the Northern Hemisphere, the impact of the reference atmos-phere on anomaly correlation is positive for resolution T21, a very slightly damaging at T42 and almost neutral at T63 in the range of day 1 to day 4. Beyond the day 4 there is a clear improvement at all resolutions.

Catalog

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return