Abstract
We demonstrate that there is significant skill in the GloSea5 operational seasonal forecasting system for predicting June mean rainfall in the middle/lower Yangtze River basin up to four months in advance. Much of the rainfall in this region during June is contributed by the mei-yu rain band. We find that similar skill exists for predicting the East Asian summer monsoon index (EASMI) on monthly time scales, and that the latter could be used as a proxy to predict the regional rainfall. However, there appears to be little to be gained from using the predicted EASMI as a proxy for regional rainfall on monthly time scales compared with predicting the rainfall directly. Although interannual variability of the June mean rainfall is affected by synoptic and intraseasonal variations, which may be inherently unpredictable on the seasonal forecasting time scale, the major influence of equatorial Pacific sea surface temperatures from the preceding winter on the June mean rainfall is captured by the model through their influence on the western North Pacific subtropical high. The ability to predict the June mean rainfall in the middle and lower Yangtze River basin at a lead time of up to 4 months suggests the potential for providing early information to contingency planners on the availability of water during the summer season.
摘要
本文证明GloSea5季节预报业务系统对长江中下游流域的6月平均降水的预报水平可以达到提前4个月。由于该区域6月降水大部分是由梅雨雨带导致的,因此可以用东亚夏季风指数(EASMI)作为代用指标来间接表征该区域降水。并且我们发现对月时间尺度上的东亚夏季风指数(EASMI)的预报水平也是类似的。然而,研究表明通过预报EASMI来间接的预报月平均区域降水与模式直接预报月平均区域降水相比,预报水平并没有明显提升。6月平均降水的年际变化会受到天气和季节内变率的影响,而这些变率在季节预测的尺度上是不具有可预报性的。模式对月平均降水的预报能力主要是基于模式能够较好的抓住来自前冬赤道太平洋海温的影响,而后者主要是通过影响西北太平洋副热带高压来影响长江中下游6月的降水。能够提前4个月对长江中下游流域6月平均降水进行预报,这意味着可以提早为决策者提供关于夏季可获得水量的信息。
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13 August 2020
The article [Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin], written by [Gill M. MARTIN, Nick J. DUNSTONE, Adam A. SCAIFE, and Philip E. BETT], was originally published electronically on the publisher’s internet portal on [10 December 2019] without open access. With the author(s)’ decision to opt for Open Choice, the copyright of the article changed to © Crown 2020.
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References
Adler, R. F., and Coauthors, 2003: The version-2 Global Precipitation Climatology Project (GPCP) monthly precipitation analysis (1979-present). Journal of Hydrometeorology, 4(6), 1147–1167. https://doi.org/10.1175/1525-7541(2003)004<1147:TVGPCP>2.0.CO;2.
Barnston, A. G., M. K. Tippett, M. L. L’Heureux, S. H. Li, and D. G. DeWitt, 2012: Skill of real-time seasonal ENSO model predictions during 2002–11: Is our capability increasing? Bull. Amer. Meteor. Soc., 93(5), 631–651. https://doi.org/10.1175/BAMS-D-11-00111.1.
Blockley, E. W., and Coauthors, 2014: Recent development of the Met Office operational ocean forecasting system: An overview and assessment of the new Global FOAM forecasts. Geoscientific Model Development, 7, 2613–2638. https://doi.org/10.5194/gmd-7-2613-2014.
Blyth, E., and Coauthors, 2006: JULES: A new community land surface model. Global Change News Letter, 66, 9–11.
Bowler, N. E., A. Arribas, S. E. Beare, K. R. Mylne, and G. J. Shutts, 2009: The local ETKF and SKEB: Upgrades to the MOGREPS short-range ensemble prediction system. Quart. J. Roy. Meteor. Soc., 135, 767–776. https://doi.org/10.1002/qj.394.
Camp, J., and Coauthors, 2019: The western Pacific subtropical high and tropical cyclone landfall: Seasonal forecasts using the Met Office GloSea5 system. Quart. J. Roy. Meteor. Soc., 145(718), 105–116. https://doi.org/10.1002/qj.3407.
Chen, W., J. Feng, and R. G. Wu, 2013: Roles of ENSO and PDO in the link of the East Asian winter monsoon to the following summer monsoon. J. Climate, 26(2), 622–635. https://doi.org/10.1175/JCLI-D-12-00021.1.
Chen, T.-C., S.-Y. Wang, W.-R. Huang, and M.-C. Yen, 2004: Variation of the East Asian summer monsoon rainfall. J. Climate, 17, 744–762. https://doi.org/10.1175/1520-0442(2004)017<0744:VOTEAS>2.0.CO;2.
Dee, D. P., and Coauthors, 2011: The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quart. J. Roy. Meteor. Soc., 137, 553–597. https://doi.org/10.1002/qj.828.
Ding, Y. H., and J. C. L. Chan, 2005: The East Asian summer monsoon: An overview. Meteorol. Atmos. Phys., 89(1–4), 117–142. https://doi.org/10.1007/s00703-005-0125-z.
Dunstone, N., D. Smith, A. Scaife, L. Hermanson, R. Eade, N. Robinson, M. Andrews, and J. Knight, 2016: Skilful predictions of the winter North Atlantic Oscillation one year ahead. Nature Geoscience, 9, 809–814. https://doi.org/10.1038/ngeo2824.
Feng, J., W. Chen, C.-Y. Tam, and W. Zhou, 2011: Different impacts of El Niño and El Niño Modoki on China rainfall in the decaying phases. International Journal of Climatology, 31(14), 2091–2101. https://doi.org/10.1002/joc.2217.
Hardiman, S. C., and Coauthors, 2018: The asymmetric response of Yangtze River basin summer rainfall to El Niño/La Niña. Environmental Research Letters, 13(2), 024015, https://doi.org/10.1088/1748-9326/aaa172.
Harris, I., P. D. Jones, T. J. Osborn, and D. H. Lister, 2014: Updated high-resolution grids of monthly climatic observations–the CRU TS3.10 dataset. International Journal of Climatology, 34(3), 623–642. https://doi.org/10.1002/joc.3711.
Huang, R. H., and Y. F. Wu, 1989: The influence of ENSO on the summer climate change in China and its mechanism. Adv. Atmos. Sci., 6(1), 21–32. https://doi.org/10.1007/BF02656915.
Huffman, G. J., and D. T. Bolvin, 2013: TRMM and Other Data Precipitation Data Set Documentation. Laboratory for Atmospheres, NASA Goddard Space Flight Center and Science Systems and Applications. [Available online from http://precip.gsfc.nasa.gov/pub/trmmdocs/3B42_3B43_doc.pdf.]
Huffman, G. J., R. F. Adler, D. T. Bolvin, and E. J. Nelkin, 2010: The TRMM multi-satellite precipitation analysis (TMPA). Satellite Rainfall Applications for Surface Hydrology, M. Gebremichael and F. Hossain, Eds., Springer, 3–22. DOI: 10.1007/978-90-481-2915-7_1.
Joyce, R. J., J. E. Janowiak, P. A. Arkin, and P. P. Xie, 2004: CMORPH: A method that produces global precipitation estimates from passive microwave and infrared data at high spatial and temporal resolution. Journal of Hydrometeorology, 5(3), 487–503. https://doi.org/10.1175/1525-7541(2004)005<0487:CAMTPG>2.0.CO;2.
Kim, K.-Y., A. Kitoh, and K.-J. Ha, 2008: The SST-forced predictability of the sub-seasonal mode over East Asia with an atmospheric general circulation model. International Journal of Climatology, 28(12), 1599–1606. https://doi.org/10.1002/joc.1655.
Kumar, A., M. Y. Chen, and W. Q. Wang, 2013: Understanding prediction skill of seasonal mean precipitation over the tropics. J. Climate, 26(15), 5674–5681. https://doi.org/10.1175/JCLI-D-12-00731.1.
Kummerow, C., W. Barnes, T. Kozu, J. Shiue, and J. Simpson, 1998: The Tropical Rainfall Measuring Mission (TRMM) sensor package. J. Atmos. Oceanic Technol., 15(3), 809–817, https://doi.org/10.1175/1520-0426(1998)015<0809:TTRMMT>2.0.CO;2.
Kwon, M., J.-G. Jhun, B. Wang, S.-I. An, and J.-S. Kug, 2005: Decadal change in relationship between east Asian and WNP summer monsoons. Geophys. Res. Lett., 32, L16709, https://doi.org/10.1029/2005GL023026.
Li, C., J.-J. Luo, S.-L. Li, H. Hendon, O. Alves, and C. MacLachlan, 2018b: Multimodel prediction skills of the Somali and Maritime Continent cross-equatorial flows. J. Climate, 31(6), 2445–2464. https://doi.org/10.1175/JCLI-D-17-0272.1.
Li, C. F., R. Y. Lu, and B. W. Dong, 2012: Predictability of the western North Pacific summer climate demonstrated by the coupled models of ENSEMBLES. Climate Dyn., 39(1–2), 329–346. https://doi.org/10.1007/s00382-011-1274-z.
Li, C. F., and Coauthors, 2016: Skillful seasonal prediction of Yangtze River valley summer rainfall. Environmental Research Letters, 11(9), 094002, https://doi.org/10.1088/1748-9326/11/9/094002.
Li, W. J., H.-C. Ren, J. Q. Zuo, and H.-L. Ren, 2018a: Early summer southern China rainfall variability and its oceanic drivers. Climate Dyn., 50(11–12), 4691–4705. https://doi.org/10.1007/s00382-017-3898-0.
Liu, X. W., T. W. Wu, S. Yang, W. H. Jie, S. P. Nie, Q. P. Li, Y. J. Cheng, and X. Y. Liang, 2015: Performance of the seasonal forecasting of the Asian summer monsoon by BCC_CSM1.1(m). Adv. Atmos. Sci., 32(8), 1156–1172. https://doi.org/10.1007/s00376-015-4194-8.
Liu, Y., H.-L. Ren, A. A. Scaife, and C. F. Li, 2018: Evaluation and statistical downscaling of East Asian summer monsoon forecasting in BCC and MOHC seasonal prediction systems. Quart. J. Roy. Meteor. Soc., 144(717), 2798–2811. https://doi.org/10.1002/qj.3405.
MacLachlan, C., and Coauthors, 2015: Global Seasonal forecast system version 5 (GloSea5): A high-resolution seasonal forecast system. Quart. J. Roy. Meteor. Soc., 141(689), 1072–1084, https://doi.org/10.1002/qj.2396.
Mao, J. Y., J. C. L. Chan, and G. X. Wu, 2011: Interannual variations of early summer monsoon rainfall over South China under different PDO backgrounds. International Journal of Climatology, 31(6), 847–862. https://doi.org/10.1002/joc.2129.
Martin, G. M., A. Chevuturi, R. E. Comer, N. J. Dunstone, A. A. Scaife, and D. Q. Zhang, 2019: Predictability of South China Sea summer monsoon onset. Adv. Atmos. Sci., 36(3), 253–260. https://doi.org/10.1007/s00376-018-8100-z.
Qian, W. H., and D.-K. Lee, 2000: Seasonal march of Asian summer monsoon. International Journal of Climatology, 20(11), 1371–1386. https://doi.org/10.1002/1097-0088(200009)20:11<1371::AID-JOC538>3.0.CO;2-V.
Rayner, N. A., D. E. Parker, E. B. Horton, C. K. Folland, L. V. Alexander, D. P. Rowell, E. C. Kent, and A. Kaplan, 2003: Global analyses of sea surface temperature, sea ice, and night marine air temperature since the late nineteenth century. J. Geophys. Res., 108(D14), 4407, https://doi.org/10.1029/2002JD002670.
Ren, H.-C., W. J. Li, H.-L. Ren, and J. Q. Zuo, 2016: Distinct linkage between winter Tibetan Plateau snow depth and early summer Philippine Sea anomalous anticyclone. Atmospheric Science Letters, 17(3), 223–229. https://doi.org/10.1002/asl.646.
Scaife, A. A., and Coauthors, 2017: Tropical rainfall, Rossby waves and regional winter climate predictions. Quart. J. Roy. Meteor. Soc., 143(702), 1–11. https://doi.org/10.1002/qj.2910.
Scaife, A. A., and Coauthors, 2019: Tropical rainfall predictions from multiple seasonal forecast systems. International Journal of Climatology, 39, 974–988. https://doi.org/10.1002/joc.5855.
Su, Q., R. Y. Lu, and C. F. Li, 2014: Large-scale circulation anomalies associated with interannual variation in monthly rainfall over South China from May to August. Adv. Atmos. Sci., 31(2), 273–282. https://doi.org/10.1007/s00376-013-3051-x.
Wang, B., and Z. Fan, 1999: Choice of South Asian summer monsoon indices. Bull. Amer. Meteor. Soc., 80(4), 629–638. https://doi.org/10.1175/1520-0477(1999)080<0629:COSASM>2.0.CO;2.
Wang, B., and LinHo, 2002: Rainy season of the Asian-Pacific summer monsoon. J. Climate, 15(4), 386–398. https://doi.org/10.1175/1520-0442(2002)015<0386:RSOTAP>2.0.CO;2.
Wang, B., R. G. Wu, and X. H. Fu, 2000: Pacific-East Asian teleconnection: How does ENSO affect East Asian climate? J. Climate, 13(9), 1517–1536. https://doi.org/10.1175/1520-0442(2000)013<1517:PEATHD>2.0.CO;2.
Wang, B., LinHo, Y. S. Zhang, and M.-M. Lu, 2004: Definition of South China Sea monsoon onset and commencement of the East Asia summer monsoon. J. Climate, 17(4), 699–710. https://doi.org/10.1175/2932.1.
Wang, B., Z. W. Wu, J. P. Li, J. Liu, C.-P. Chang, Y. H. Ding, and G. X. Wu, 2008: How to measure the strength of the East Asian summer monsoon. J. Climate, 21(17), 4449–4463, https://doi.org/10.1175/2008JCLI2183.1.
Wang, B., J. Liu, J. Yang, T. J. Zhou, and Z. W. Wu, 2009: Distinct principal modes of early and late summer rainfall anomalies in East Asia. J. Climate, 22, 3864–3875. https://doi.org/10.1175/2009JCLI2850.1.
Wang, B., B. Q. Xiang, and J.-Y. Lee, 2013: Subtropical high predictability establishes a promising way for monsoon and tropical storm predictions. Proceedings of the National Academy of Sciences of the United States of America, 110, 2718–2722. https://doi.org/10.1073/pnas.1214626110.
Wang, Y. F., 1992: Effects of blocking anticyclones in Eurasia in the rainy season (Meiyu/Baiu season). J. Meteor. Soc. Japan, 70(5), 929–951. https://doi.org/10.2151/jmsj1965.70.5_929.
Wang, Y. F., B. Wang, and J.-H. Oh, 2001: Impact of the preceding El Niño on the East Asian summer atmosphere circulation. J. Meteor. Soc. Japan, 79(1B), 575–588. https://doi.org/10.2151/jmsj.79.575.
Weedon, G. P., and Coauthors, 2011: Creation of the WATCH forcing data and its use to assess global and regional reference crop evaporation over land during the twentieth century. Journal of Hydrometeorology, 12, 823–848. https://doi.org/10.1175/2011JHM1369.1.
Williams, K. D., and Coauthors, 2015: The Met Office Global Coupled model 2.0 (GC2) configuration. Geoscientific Model Development, 8(5), 1509–1524. https://doi.org/10.5194/gmd-8-1509-2015.
Wu, B., T. Li, and T. J. Zhou, 2010: Relative contributions of the Indian Ocean and local SST anomalies to the maintenance of the western North Pacific anomalous anticyclone during the El Niño decaying summer. J. Climate, 23(11), 2974–2986. https://doi.org/10.1175/2010JCLI3300.1.
Wu, B. Y., K. Yang, and R. H. Zhang, 2009: Eurasian snow cover variability and its association with summer rainfall in China. Adv. Atmos. Sci., 26(1), 31–44. https://doi.org/10.1007/s00376-009-0031-2.
Wu, R. G., 2002: A mid-latitude Asian circulation anomaly pattern in boreal summer and its connection with the Indian and East Asian summer monsoons. International Journal of Climatology, 22(15), 1879–1895. https://doi.org/10.1002/joc.845.
Wu, R. G., and B. Wang, 2002: A contrast of the East Asian summer monsoon-ENSO relationship between 1962–77 and 1978–93. J. Climate, 15, 3266–3279. https://doi.org/10.1175/1520-0442(2002)015<3266:ACOTEA>2.0.CO;2.
Wu, R. G., Z.-Z. Hu, and B. P. Kirtman, 2003: Evolution of ENSO- related rainfall anomalies in East Asia. J. Climate, 16(22), 3742–3758. https://doi.org/10.1175/1520-0442(2003)016<3742:EOERAI>2.0.CO;2.
Xie, P. P., and P. A. Arkin, 1997: Global precipitation: A 17-year monthly analysis based on gauge observations, satellite estimates, and numerical model outputs. Bull. Amer. Meteor. Soc., 78, 2539–2558. https://doi.org/10.1175/1520-0477(1997)078<2539:GPAYMA>2.0.CO;2.
Xie, S.-P., Y. Kosaka, Y. Du, K. M. Hu, J. S. Chowdary, and G. Huang, 2016: Indo-western Pacific Ocean capacitor and coherent climate anomalies in post-ENSO summer: A review. Adv. Atmos. Sci., 33(4), 411–432. https://doi.org/10.1007/s00376-015-5192-6.
Xing, W., and F. Huang, 2019: Improvements in long-lead prediction of early-summer subtropical frontal rainfall based on Arctic sea ice. Journal of Ocean University of China, 18, 542–552. https://doi.org/10.1007/s11802-019-3875-9.
Xing, W., B. Wang, and S.-Y. Yim, 2016: Peak-summer East Asian rainfall predictability and prediction Part I: Southeast Asia. Climate Dyn., 47, 1–13. https://doi.org/10.1007/s00382-014-2385-0.
Xing, W., B. Wang, S. Y. Yim, and K. J. Ha, 2017: Predictable patterns of the May-June rainfall anomaly over East Asia. J. Geophys. Res., 122(4), 2203–2217. https://doi.org/10.1002/2016JD025856.
Yatagai, A., K. Kamiguchi, O. Arakawa, A. Hamada, N. Yasutomi, and A. Kitoh, 2012: APHRODITE: Constructing a long-term daily gridded precipitation dataset for Asia based on a dense network of rain gauges. Bull. Amer. Meteor. Soc., 93(9), 1401–1415. https://doi.org/10.1175/BAMS-D-11-00122.1.
Ye, H., and R. Y. Lu, 2011: Subseasonal variation in ENSO-related East Asian rainfall anomalies during summer and its role in weakening the relationship between the ENSO and summer rainfall in Eastern China since the late 1970s. J. Climate, 24(9), 2271–2284. https://doi.org/10.1175/2010JCLI3747.1.
Yim, S.-Y., B. Wang, and W. Xing, 2014: Prediction of early summer rainfall over South China by a physical-empirical model. Climate Dyn., 43(7–8), 1883–1891. https://doi.org/10.1007/s00382-013-2014-3.
Yim, S.-Y., B. Wang, and W. Xing, 2016: Peak-summer East Asian rainfall predictability and prediction part II: Extratropical East Asia. Climate Dyn., 47, 15–30. https://doi.org/10.1007/s00382-015-2849-x.
Zhang, Q. Y., and S. Y. Tao, 1998: Influence of Asian mid-high latitude circulation on East Asian summer rainfall. Acta Meteorologica Sinica, 56, 199–211. (in Chinese with English abstract)
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This work and its contributors were supported by the UK–China Research and Innovation Partnership Fund through the Met Office Climate Science for Service Partnership (CSSP) China as part of the Newton Fund.
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• There is significant skill in GloSea5 for predicting June mean rainfall in the middle/lower Yangtze River basin up to 4 months in advance.
• Similar skill exists for predicting the East Asian summer monsoon index on monthly time scales.
• The main source of skill is equatorial Pacific sea surface temperatures from the preceding winter.
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Martin, G.M., Dunstone, N.J., Scaife, A.A. et al. Predicting June Mean Rainfall in the Middle/Lower Yangtze River Basin. Adv. Atmos. Sci. 37, 29–41 (2020). https://doi.org/10.1007/s00376-019-9051-8
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DOI: https://doi.org/10.1007/s00376-019-9051-8