
Assimilation of SEVIRI Water Vapour Radiances in HARMONIE-AROME at Large Satellite Zenith Angles
By: David Schönach, Reima Eresmaa and Heikki Järvinen
References
- Andersson, E., Pailleux, J., Thépaut, J.-N., Eyre, J.R., McNally, A.P., Kelly, G.A. and Courtier, P. (1994) Use of cloud-cleared radiances in three/four-dimensional variational data assimilation. Quarterly Journal of the Royal Meteorological Society, 120(517): 627–653. DOI: 10.1256/smsqj.51706
- Andersson, E. and Thépaut, J.-N. (2008) Ecmwf’s 4d-var data assimilation system – the genesis and ten years in operations.
https://www.ecmwf.int/node/17509 . - Auligné, T., McNally, A.P. and Dee, D.P. (2007) Adaptive bias correction for satellite data in a numerical weather prediction system. Quarterly Journal of the Royal Meteorological Society, 133(624): 631–642. DOI: 10.1002/qj.56
- Bauer, P., Buizza, R., Cardinali, C. and Noël Thépaut, J. (2011) Impact of singular-vector-based satellite data thinning on nwp. Quarterly Journal of the Royal Meteorological Society, 137(655): 286–302. DOI: 10.1002/qj.733
- Bauer, P., Thorpe, A.J. and Brunet, G. (2015) The quiet revolution of numerical weather prediction. Nature, 525: 47–55. DOI: 10.1038/nature14956
- Benáček, P. and Mile, M. (2019) Satellite bias correction in the regional model aladin/cz: Comparison of different varbc approaches. Monthly Weather Review, 147(9): 3223–3239. DOI: 10.1175/MWR-D-18-0359.1
- Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Hansen-Sass, B., Homleid, M., Hortal, M., Ivarsson, K.-I., Lenderink, G., Niemelä, S., Nielsen, K.P., Onvlee, J., Rontu, L., Samuelsson, P., Muñoz, D.S., Subias, A., Tijm, S., Toll, V., Yang, X. and Ødegaard Køltzow, M. (2017) The harmonie–arome model configuration in the aladin–hirlam nwp system. Monthly Weather Review, 145(5): 1919–1935. DOI: 10.1175/MWR-D-16-0417.1
- Berre, L. (2000) Estimation of synoptic and mesoscale forecast error covariances in a limited-area model. Monthly Weather Review, 128(3): 644–667. DOI: 10.1175/1520-0493(2000)128<;0644:EOSAMF>2.0.CO;2
- Bormann, N. (2017) Slant path radiative transfer for the assimilation of sounder radiances. Tellus A: Dynamic Meteorology and Oceanography, 69(1):
1272779 . DOI: 10.1080/16000870.2016.1272779 - Bormann, N. and Bauer, P. (2010) Estimates of spatial and interchannel observation-error characteristics for current sounder radiances for numerical weather prediction. i: Methods and application to atovs data. Quarterly Journal of the Royal Meteorological Society, 136(649): 1036–1050. DOI: 10.1002/qj.616
- Burrows, C. (2018) Assimilation of radiance observations from geostationary satellites: First year report.
- Davies, H.C. (1976) A lateral boundary formulation for multi-level prediction models. Quarterly Journal of the Royal Meteorological Society, 102(432): 405–418. DOI: 10.1256/smsqj.43209
- Derber, J.C. and Wu, W.-S. (1998) The use of tovs cloud-cleared radiances in the ncep ssi analysis system. Monthly Weather Review, 126(8): 2287–2299. DOI: 10.1175/1520-0493(1998)126<;2287:TUOTCC>2.0.CO;2
- Dybbroe, A., Thoss, A. and Karlsson, K.-G. (2018) Nwc saf geo cloud products: Algorithm theoretical basis document (v2.1). Tech. Rep. NWC/CDOP2/GEO/MFL/SCI/ATBD/Cloud, EUMETSAT NWC SAF.
https://www.nwcsaf.org/Downloads/GEO/2018/Documents/Scientific_Docs/NWC-CDOP2-GEO-MFL-SCI-ATBD-Cloud_v2.1.pdf . - ECMWF. (2021) Implementation of ifs cycle 47r3.
https://confluence.ecmwf.int/display/FCST/Implementation+of+IFS+Cycle+47r3 . Accessed: 2023-08-28. - Efron, B. and Tibshirani, R. (1993) An Introduction to the Bootstrap. DOI: 10.1007/978-1-4899-4541-9
- ESA. (2025a) About ASCAT.
https://www.esa.int/Applications/Observing_the_Earth/Meteorological_missions/MetOp/About_ASCAT . Accessed: 2025-01-10. - ESA. (2025b) About MHS.
https://www.esa.int/Applications/Observing_the_Earth/Meteorological_missions/MetOp/About_MHS . Accessed: 2025-01-10. - ESA. (2025c) IASI: MetOp’s key instrument.
https://www.esa.int/Applications/Observing_the_Earth/Meteorological_missions/MetOp/IASI_MetOp_s_key_instrument . Accessed: 2025-01-10. - EUMETSAT. (2024) Eumetsat rttov-v12 overview.
https://nwp-saf.eumetsat.int/site/software/rttov/rttov-v12/ . Accessed: 2023-08-22. - EUMETSATa. (2023) High rate seviri level 1.5 image data – msg – 0 degree.
https://navigator.eumetsat.int/product/EO:EUM:DAT:MSG:HRSEVIRI . Accessed: 2023-08-29. - EUMETSAT NWP SAF. (2019) RTTOV v12 Users Guide (Version 1.3).
https://nwp-saf.eumetsat.int/site/download/documentation/rtm/docs_rttov12/users_guide_rttov12_v1.3.pdf . - Eyre, J.R., Bell, W., Cotton, J., English, S.J., Forsythe, M., Healy, S.B. and Pavelin, E.G. (2022) Assimilation of satellite data in numerical weather prediction. part ii: Recent years. Quarterly Journal of the Royal Meteorological Society, 148(743): 521–556. DOI: 10.1002/qj.4228
- Eyre, J.R., Kelly, G.A., McNally, A.P., Andersson, E. and Persson, A. (1993) Assimilation of tovs radiance information through one-dimensional variational analysis. Quarterly Journal of the Royal Meteorological Society, 119(514): 1427–1463. DOI: 10.1256/smsqj.51410
- Geer, A.J., Lonitz, K., Weston, P., Kazumori, M., Okamoto, K., Zhu, Y., Liu, E.H., Collard, A., Bell, W., Migliorini, S., Chambon, P., Fourrié, N., Kim, M.-J., Köpken-Watts, C. and Schraff, C. (2018) All-sky satellite data assimilation at operational weather forecasting centres. Quarterly Journal of the Royal Meteorological Society, 144(713): 1191–1217. DOI: 10.1002/qj.3202
- Geer, A.J., Migliorini, S. and Matricardi, M. (2019) All-sky assimilation of infrared radiances sensitive to mid- and upper-tropospheric moisture and cloud. Atmospheric Measurement Techniques, 12(9): 4903–4929. DOI: 10.5194/amt-12-4903-2019
- Gustafsson, N., Janjić, T., Schraff, C., Leuenberger, D., Weissmann, M., Reich, H., Brousseau, P., Montmerle, T., Wattrelot, E., Bučánek, A., Mile, M., Hamdi, R., Lindskog, M., Barkmeijer, J., Dahlbom, M., Macpherson, B., Ballard, S., Inverarity, G., Carley, J., Alexander, C., Dowell, D., Liu, S., Ikuta, Y. and Fujita, T. (2018) Survey of data assimilation methods for convective-scale numerical weather prediction at operational centres. Quarterly Journal of the Royal Meteorological Society, 144(713): 1218–1256. DOI: 10.1002/qj.3179
- Hutt, A., Schraff, C., Anlauf, H., Bach, L., Baldauf, M., Bauernschubert, E., Cress, A., Faulwetter, R., Fundel, F., Köpken-Watts, C., Reich, H., Schomburg, A., Schröttle, J., Stephan, K., Stiller, O., Weissmann, M. and Potthast, R. (2020) Assimilation of seviri water vapor channels with an ensemble kalman filter on the convective scale. Frontiers in Earth Science, 8. DOI: 10.3389/feart.2020.00070
- Lean, P., Hólm, E. V., Bonavita, M., Bormann, N., McNally, A.P. and Järvinen, H. (2021) Continuous data assimilation for global numerical weather prediction. Quarterly Journal of the Royal Meteorological Society, 147(734): 273–288. DOI: 10.1002/qj.3917
- Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R., Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E., Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G., Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Pigeon, G., Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B., Vionnet, V. and Voldoire, A. (2013) The surfexv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes. Geoscientific Model Development, 6(4): 929–960. DOI: 10.5194/gmd-6-929-2013
- Matricardi, M. (2008) The generation of rttov regression coefficients for iasi and airs using a new profile training set and a new line-by-line database.
https://www.ecmwf.int/node/11040 . - McNally, A.P. (2012) Observing system experiments to assess the impact of possible future degradation of the global satellite observing network. ECMWF Tech. Memo. 672, pp. 20. Available online at:
www.ecmwf.int/sites/default/files/elibrary/2012/11085-observing-system-experiments-assess-impact-possible-future-degradation-global-satellite.pdf . - McNally, A., Watts, P., A. Smith, J., Engelen, R., Kelly, G., Thépaut, J. and Matricardi, M. (2006) The assimilation of airs radiance data at ecmwf. Quarterly Journal of the Royal Meteorological Society: A journal of the atmospheric sciences, applied meteorology and physical oceanography, 132(616): 935–957. DOI: 10.1256/qj.04.171
- Montmerle, T., Michel, Y., Arbogast, E., Ménétrier, B. and Brousseau, P. (2018) A 3d ensemble variational data assimilation scheme for the limited-area arome model: Formulation and preliminary results. Quarterly Journal of the Royal Meteorological Society, 144(716): 2196–2215. DOI: 10.1002/qj.3334
- Montmerle, T., Rabier, F. and Fischer, C. (2007) Relative impact of polar-orbiting and geostationary satellite radiances in the aladin/france numerical weather prediction system. Quarterly Journal of the Royal Meteorological Society, 133(624): 655–671. DOI: 10.1002/qj.34
- Moore, D., McCabe, G. and Craig, B. (2014) Introduction to the Practice of Statistics. W. H. Freeman.
https://books.google.fi/books?id=pX1_AwAAQBAJ . - Müller, M., Homleid, M., Ivarsson, K.-I., Køltzøw, M.A.Ø., Lindskog, M., Midtbø, K.H., Andrae, U., Aspelien, T., Berggren, L., Bjorge, D., Dahlgren, P., Kristiansen, J., Randriamampianina, R., Ridal, M. and Vignes, O. (2017) Arome-metcoop: A nordic convective-scale operational weather prediction model. Weather and Forecasting, 32(2): 609–627. DOI: 10.1175/WAF-D-16-0099.1
- Munro, R., Köpken, C., Kelly, G., Thépaut, J.-N. and Saunders, R. (2004) Assimilation of meteosat radiance data within the 4d-var system at ecmwf: Data quality monitoring, bias correction and single-cycle experiments. Quarterly Journal of the Royal Meteorological Society, 130(601): 2293–2313. DOI: 10.1256/qj.02.229
- NASA. (2025) AMSU – Advanced Microwave Sounding Unit.
https://aqua.nasa.gov/content/amsu . Accessed: 2025-01-10. - NOAA/NESDIS. (2025) Advanced technology microwave sounder (ATMS).
https://www.nesdis.noaa.gov/our-satellites/currently-flying/joint-polar-satellite-system/advanced-technology-microwave-sounder-atms . Accessed: 2025-01-10. - NWCSAF. (2019) Scientific documentation of nwcsaf cloud-products.
https://www.nwcsaf.org/scientificdocumentation#NWC/GEO%20v2018 . Accessed: 2023-08-29. - Peubey, C. and McNally, A. (2009) Characterization of the impact of geostationary clear-sky radiances on wind analyses in a 4d-var context. Quarterly Journal of the Royal Meteorological Society, 135(644): 1863–1876. DOI: 10.1002/qj.500
- Plas, E.V.D., Schmeits, M., Hooijman, N. and Kok, K. (2017) A comparative verification of high-resolution precipitation forecasts using model output statistics. Monthly Weather Review, 145: 4037–4054. DOI: 10.1175/MWR-D-16-0256.1
- Rabier, F., Järvinen, H., Klinker, E., Mahfouf, J.-F. and Simmons, A. (2000) The ecmwf operational implementation of four-dimensional variational assimilation. i: Experimental results with simplified physics. Quarterly Journal of the Royal Meteorological Society, 126(564): 1143–1170. DOI: 10.1002/qj.49712656415
- Saunders, R., Hocking, J., Turner, E., Rayer, P., Rundle, D., Brunel, P., Vidot, J., Roquet, P., Matricardi, M., Geer, A., Bormann, N. and Lupu, C. (2018) An update on the rttov fast radiative transfer model (currently at version 12). Geoscientific Model Development, 11(7): 2717–2737. DOI: 10.5194/gmd-11-2717-2018
- Schmetz, J., Pili, P., Tjemkes, S., Just, D., Kerkmann, J., Rota, S. and Ratier, A. (2002) An introduction to meteosat second generation (msg). Bulletin of the American Meteorological Society, 83(7): 977–992. DOI: 10.1175/1520-0477(2002)083<;0992:STAITM>2.3.CO;2
- Shahabadi, M.B., Aparicio, J.M. and Garand, L. (2018) Impact of slant-path radiative transfer in the simulation and assimilation of satellite radiances in environment canada’s weather forecast system. Monthly Weather Review, 146(12): 4357–4372. DOI: 10.1175/MWR-D-18-0126.1
- Stengel, M., Undén, P., Lindskog, M., Dahlgren, P., Gustafsson, N. and Bennartz, R. (2009) Assimilation of seviri infrared radiances with hirlam 4d-var. Quarterly Journal of the Royal Meteorological Society, 135(645): 2100–2109. DOI: 10.1002/qj.501
- Szyndel, M., Kelly, G. and Thépaut, J.-N. (2005) Evaluation of potential benefit of seviri water vapour radiance data from meteosat-8 into global numerical weather prediction analyses. Atmospheric Science Letters, 6: 105–111. DOI: 10.1002/asl.98
- Werner, F. and Deneke, H. (2020) Increasing the spatial resolution of cloud property retrievals from meteosat seviri by use of its high-resolution visible channel: evaluation of candidate approaches with modis observations. Atmospheric Measurement Techniques, 13(3): 1089–1111. DOI: 10.5194/amt-13-1089-2020
- WMO OSCAR. (2025a) Details for instrument seviri.
https://space.oscar.wmo.int/instruments/view/seviri . Accessed: 14 March 2025. - WMO OSCAR. (2025b) MWHS-2.
https://space.oscar.wmo.int/instruments/view/mwhs_2 . Accessed: 2025-01-10.
DOI: https://doi.org/10.16993/tellusa.4106 | Journal eISSN: 3035-9554
Language: English
Page range: 118 - 135
Submitted on: Jan 27, 2025
Accepted on: Apr 2, 2025
Published on: Apr 24, 2025
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2025 David Schönach, Reima Eresmaa, Heikki Järvinen, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.