Assimilation of atmospheric infrared sounder radiances with WRF-GSI for improving typhoon forecast

Abstract

The Atmospheric Infrared Sounder (AIRS) can provide the profile information on atmospheric temperature and humidity in high vertical resolution. The assimilation of its radiances has been proven to improve the Numerical Weather Prediction (NWP) in global models. In this study, regional assimilation of AIRS radiances was carried out in a community assimilation system, using Gridpoint Statistical Interpolation (GSI) coupled with the Weather Research and Forecasting (WRF) model. The AIRS channel selection, quality control, and radiances bias correction were examined and illustrated for optimized assimilation. The bias correction scheme in the regional model showed that corrections on most of the channels produce satisfactory results except for several land surface channels. The assimilation and forecast experiments were carried out for three typhoon cases (Saola, Damrey, and Haikui in 2012) with and without including AIRS radiances. Results show that the assimilation of AIRS radiances into the WRF/GSI model improves both the typhoon track and intensity in a 72-hour forecast.

Keywords

AIRS / WRF/GSI model / radiance assimilation / typhoon forecast

References

[1] Aumann H H, Chahine M T, Gautier C, Goldberg M D, Kalnay E, Mcmillin L M, Revercomb H, Rosenkranz P W, Smith W L, Staelin D H, Strow L L, Susskind J (2003). AIRS/AMSU/HSB on the aqua mission: design, science objectives, data products, and processing systems. IEEE Trans Geosci Remote Sens, 41(2): 253–264

[2] Bauer P, Thorpe A, Brunet G (2015). The quiet revolution of numerical weather prediction. Nature, 525(7567): 47–55

[3] Benjamin S G, Weygandt S S, Brown J M, Hu M, Alexander C R, Smirnova T G, Olson J B, James E P, Dowell D C, Grell G A, Lin H, Peckham S E, Smith T L, Moninger W R, Kenyon J S, Manikin G S (2016). A North American hourly assimilation and model forecast cycle: the rapid refresh. Mon Weather Rev, 144(4): 1669–1694

[4] Bernardet L, Tallapragada V, Bao S, Trahan S, Kwon Y, Liu Q, Tong M, Biswas M, Brown T, Stark D, Carson L, Yablonsky R, Uhlhorn E, Gopalakrishnan S, Zhang X, Marchok T, Kuo B, Gall R (2015). Community support and transition of research to operations for the hurricane weather research and forecasting model. Bull Am Meteorol Soc, 96(6): 953–960

[5] Carrier M J, Zou X, Lapenta W M (2008). Comparing the vertical structures of weighting functions and adjoint sensitivity of radiance and verifying mesoscale forecasts using AIRS radiance observations. Mon Weather Rev, 136(4): 1327–1348

[6] Carrier M, Zou X, Lapenta W M (2007). Identifying cloud-uncontaminated AIRS spectra from cloudy FOV based on cloud-top pressure and weighting functions. Mon Weather Rev, 135(6): 2278–2294

[7] Chahine M T, Pagano T S, Aumann H H, Atlas R, Barnet C, Blaisdell J, Chen L, Divakarla M, Fetzer E J, Goldberg M, Gautier C, Granger S, Hannon S, Irion F W, Kakar R, Kalnay E, Lambrigtsen B H, Lee S Y, Le MARSHALL J, McMillan W W, McMillin L, Olsen E T, Revercomb H, Rosenkranz P, Smith W L, Staelin D, Strow L L, Susskind J, Tobin D, Wolf W, Zhou L (2006). Improving weather forecasting and providing new data on greenhouse gases. Bull Am Meteorol Soc, 87: 911–926

[8] De Pondeca M S F V, Manikin G S, DiMego G, Benjamin S G, Parrish D F, Purser R J, Wu W S, Horel J D, Myrick D T, Lin Y, Aune R M, Keyser D, Colman B, Mann G, Vavra J (2011). The real-time mesoscale analysis at NOAA’s National Centers for Environmental Prediction: current status and development. Weather Forecast, 26(5): 593–612

[9] Derber J C, Wu W S (1998). The use of TOVS cloud-cleared radiances in the NCEP SSI analysis system. Mon Weather Rev, 126(8): 2287–2299

[10] Eyre J R, Kelly G A, Mcnally A P, Andersson E, Persson A (1993). Assimilation of TOVS radiance information through one-dimensional variational analysis. Q J R Meteorol Soc, 119(514): 1427–1463

[11] Fourrié N, Thépaut J J (2002). Validation of the NESDIS Near Real Time AIRS channel selection. ECMWF Technical Memorandum, 1–14

[12] Goldberg M D, Kilcoyne H, Cikanek H, Mehta A (2013). Joint polar satellite system: the United States next generation civilian polar-orbiting environmental satellite system. J Geophys Res Atmos, 118(24): 13,463–13,475

[13] Klaes K D, Cohen M, Buhler Y, Schlüssel P, Munro R, Luntama J P, von Engeln A, Clérigh E Ó, Bonekamp H, Ackermann J, Schmetz J (2007). An introduction to the EUMETSAT polar system. Bull Am Meteorol Soc, 88(7): 1085–1096

[14] Le Marshall J, Jung J, Derber J, Chahine M, Treadon R, Lord S J, Goldberg M, Wolf W, Liu H C, Joiner J, Woollen J, Todling R, van Delst P, Tahara Y (2006). Improving global analysis and forecasting with AIRS. Bull Am Meteorol Soc, 87(7): 891–894

[15] Li J, Liu H (2009). Improved hurricane track and intensity forecast using single field-of-view advanced IR sounding measurements. Geophys Res Lett, 36(11): L11813

[16] Lim A H N, Jung J A, Huang H A, Ackerman S A, Otkin J A (2014). Assimilation of clear sky Atmospheric Infrared Sounder radiances in short-term regional forecasts using community models. J Appl Remote Sens, 8(1): 083655

[17] Liu Y A, Huang H L A, Gao W, Lim A H N, Liu C, Shi R (2015). Tuning of background error statistics through sensitivity experiments and its impact on typhoon forecast. J Appl Remote Sens, 9(1): 096051

[18] Liu Y, Huang H A, Lim A H N, Gao W (2018). Adaptive bias correction of advanced infrared sounding radiance assimilation in a regional model and its impact on typhoon forecast. J Appl Remote Sens, 12: 1

[19] McCarty W, Jedlovec G, Miller T L (2009). Impact of the assimilation of Atmospheric Infrared Sounder radiance measurements on short-term weather forecasts. J Geophys Res Atmos, 114: D18122

[20] McNally A P, Watts P D (2003). A cloud detection algorithm for high-spectral-resolution infrared sounders. Q J R Meteorol Soc, 129(595): 3411–3423

[21] McNally P, Watts P D, Smith J, Engelen R, Kelly G, Thépaut J N, Matricardi M (2006). The assimilation of AIRS radiance data at ECMWF. Q J R Meteorol Soc, 132(616): 935–957

[22] Menzel W P, Schmit T J, Zhang P, Li J (2018). Satellite based atmospheric infrared sounder development and applications. Bull Am Meteorol Soc, 99(3): 583–603

[23] Miyoshi T, Kunii M (2012). Using AIRS retrievals in the WRF-LETKF system to improve regional numerical weather prediction. Tellus, Ser A, Dyn Meterol Oceanogr, 64(1): 18408

[24] Pu Z, Zhang L (2010). Validation of atmospheric infrared sounder temperature and moisture profiles over tropical oceans and their impact on numerical simulations of tropical cyclones. J Geophys Res Atmos, 115(D24): 1–13

[25] Rabier F, Fourrie N, Chafai D, Prunet P (2002). Channel selection methods for infrared atmospheric sounding interferometer radiances. Q J R Meteorol Soc, 128(581): 1011–1027

[26] Skamarock W C, Klemp J B, Dudhia J, Gill D O, Barker D M, Duda M G, Huang X Y, Wang W, Powers J G (2008). A Description of the Advanced Research WRF Version 3. NCAR Tech. Notes NCAR/TN-475+ STRT, 1–113

[27] Xu D, Liu Z, Huang X Y, Min J, Wang H (2013). Impact of assimilating IASI radiance observations on forecasts of two tropical cyclones. Meteorol Atmos Phys, 122(1‒2): 1–18

[28] Zheng J, Li J J, Schmit T J, Li J J, Liu Z (2015). The impact of AIRS atmospheric temperature and moisture profiles on hurricane forecasts: Ike (2008) and Irene (2011). Adv Atmos Sci, 32(3): 319–335

[29] Zhou Y P, Lau K M, Reale O, Rosenberg R (2010). AIRS impact on precipitation analysis and forecast of tropical cyclones in a global data assimilation and forecast system. Geophys Res Lett, 37: L02806

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