
Preliminary Assimilation of Satellite Derived Land Surface Temperature from SEVIRI in the Surface Scheme of the AROME-France Model
References
- Aminou, D. 2002. MSG’s SEVIRI instrument. Esa bulletin 111, 15–17.
- Bathmann, K. 2018. Justification for estimating observation-error covariances with the Desroziers diagnostic. Quarterly Journal of the Royal Meteorological Society, 144: 1965–1974. DOI: 10.1002/qj.3395
- 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
- Bhumralkar, CM. 1975. Numerical experiments on the computation of ground surface temperature in an atmospheric general circulation model. Journal of Applied Meteorology and Climatology, 14(7): 1246–1258. DOI: 10.1175/1520-0450(1975)014<;1246:NEOTCO>2.0.CO;2
- Boni, G, Entekhabi, D and Castelli, F. 2001. Land data assimilation with satellite measurements for the estimation of surface energy balance components and surface control on evaporation. Water Resources Research, 37(6): 1713–1722. DOI: 10.1029/2001WR900020
- Boone, A, Calvet, J and Noilhan, J. 1999. Inclusion of a Third Soil Layer in a Land Surface Scheme Using the Force–Restore Method. Journal of Applied Meteorology, 38(11): 1611–1630. DOI: 10.1175/1520-0450(1999)038<;1611:IOATSL>2.0.CO;2
- Bosilovitch, MG, Radakovich, JD, Da SILVA, A, Todling, R and Verter, F. 2007. Skin Temperature Analysis and Bias Correction in a Coupled Land-Atmosphere Data Assimilation System. Journal of the Meteorological Society of Japan. Ser. II, 85A: 205–228. DOI: 10.2151/jmsj.85A.205
- Boukachaba, N, Guidard, V and Fourrié, N. 2015. Improved assimilation of IASI land surface temperature data overcontinents in the convective scale AROME France model. International TOVS Study Conference-XX Proceedings. DOI: 10.13140/RG.2.2.26789.09447
- Brousseau, P, Seity, Y, Ricard, D and Léger, J. 2016. Improvement of the forecast of convective activity from the AROME-France system. Quarterly Journal of the Royal Meteorological Society, 142(699): 2231–2243. DOI: 10.1002/qj.2822
- Candy, B, Saunders, RW, Ghent, D and Bulgin, CE. 2017. The Impact of Satellite-Derived Land Surface Temperatures On Numerical Weather Prediction Analyses and Forecasts. Journal of Geophysical Research: Atmospheres. DOI: 10.1002/2016JD026417
- Coiffier, J, Ernie, Y, Geleyn, JF, Clochard, J, Hoffman, J and Dupont, F. 1986. The operational hemispheric model at the French Meteorological Service. Journal of the Meteorological Society of Japan. Ser. II, 64: 337–345. DOI: 10.2151/jmsj1965.64A.0_337
- Courtier, P, Freydier, C, Geleyn, J-F, Rabier, F and Rochas, M. 1991. The Arpege project at Meteo France. Seminar on Numerical Methods in Atmospheric Models, 9–13(September 1991 II): 193–232.
- Cuxart, J, Bougeault, P and Redelsperger, JL. 2000. A turbulence scheme allowing for mesoscale and large-eddy simulations. Quarterly Journal of the Royal Meteorological Society. DOI: 10.1002/qj.49712656202
- De Lannoy, GJM, and Reichle, RH. 2016. Assimilation of SMOS brightness temperatures or soil moisture retrievals into a land surface model. Hydrol. Earth Syst. Sci., 20: 4895–4911. DOI: 10.5194/hess-20-4895-2016
- De Rosnay, P, Drusch, M, Vasiljevic, D, Balsamo, G, Albergel, C and Isaksen, L. 2013. A simplified extended Kalman filter for the global operational soil moisture analysis at ECMWF. Quarterly Journal of the Royal Meteorological Society, 139(674): 1199–1213. DOI: 10.1002/qj.2023
- Desroziers, G, Berre, L, Chapnik, B and Poli, P. 2005. Diagnosis of observation, background and analysis-error statistics in observation space. Quarterly Journal of the Royal Meteorological Society, 131: 3385–3396. DOI: 10.1256/qj.05.108
- Douville, H, Viterbo, P, Mahfouf, JF and Beljaars, AC. 2000. Evaluation of the optimum interpolation and nudging techniques for soil moisture analysis using FIFE data. Monthly Weather Review, 128(6): 1733–1756. DOI: 10.1175/1520-0493(2000)128<;1733:EOTOIA>2.0.CO;2
- Drusch, M and Viterbo, P. 2007. Assimilation of Screen-Level Variables in ECMWF’s Integrated Forecast System: A Study on the Impact on the Forecast Quality and Analyzed Soil Moisture. Monthly Weather Review, 135(2): 300–314. DOI: 10.1175/MWR3309.1
- Giard, D and Bazile, E. 2000. Implementation of a New Assimilation Scheme for Soil and Surface Variables in a Global NWP Model. Monthly Weather Review, 128(4): 997–1015. DOI: 10.1175/1520-0493(2000)128<;0997:IOANAS>2.0.CO;2
- Guedj, S, Karbou, F and Rabier, F. 2011. Land Surface Temperature Estimation To Improve The Assimilation Of SEVIRI Radiances Over Land. Journal Of Geophysical Research, 116: D14107. DOI: 10.1029/2011JD015776
- Heilliette, S, Garand, L, Bilodeau, B, Carrera, M and Belair, S. 2017.
Assimilation of land surface skin temperature observations derived from GOES imagery . 21st TOVS Study Conference. Darmstadt, Germany. Scientific poster. - Karbou, F, Gérard, E and Rabier, F. 2006. Microwave land emissivity and skin temperature for AMSU-A and AMSU-B assimilation over land. Quarterly Journal of the Royal Meteorological Society, 132(620): 2333–2355. DOI: 10.1256/qj.05.216
- Le Gleau, H. 2019. User Manual for the Cloud Product Processors of the NWC/GEO: Science Part.
- Lindskog, M and Landelius, T. 2019. Short-Range Numerical Weather Prediction of Extreme Precipitation Events Using Enhanced Surface Data Assimilation. Atmosphere, 10: 587. DOI: 10.3390/atmos10100587
- Mahfouf, J-F. 2007.
Soil analysis at Météo-France. Part I: Evaluation and perspectives at local scale (in French), Note de Cent . CNRM/GMME, 84, 58 pp., Groupe de Météorol. à Moyenne Echelle, Cent. Natl. de Rech. Météorol., Météo-France, Toulouse, France. - Mahfouf, JF, Bergaoui, K, Draper, C, Bouyssel, F, Taillefer, F and Taseva, L. 2009. A comparison of two off-line soil analysis schemes for assimilation of screen level observations. Journal of Geophysical Research: Atmospheres, 114(D8). DOI: 10.1029/2008JD011077
- Masson, V. 2000. A physically-based scheme for the urban energy balance in atmospheric models. Boundary-Layer Meteorology, 94: 357–397. DOI: 10.1023/A:1002463829265
- Masson, V, Le Moigne, P, Martin, E, Faroux, S, Alias, A, Alkama, R, Belamari, S, Barbu, A, Boone, A, Bouyssel, F and Brousseau, P. 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
- Mlawer, EJ, Taubman, SJ, Brown, PD, Iacono, MJ and Clough, SA. 1997. Radiative transfer for inhomogeneous atmospheres: RRTM, a validated correlated-k model for the longwave. Journal of Geophysical Research, 102(D14): 16663–16682. DOI: 10.1029/97JD00237
- Montmerle, T, Rabier, F and Fischer, C. 2007. Respective impact of polar-orbiting and geostationary satellites observations in the Aladin/France numerical weather prediction system. Quarterly Journal of the Royal Meteorological Society, 133: 655–671. DOI: 10.1002/qj.34
- Muñoz-Sabater, J, Lawrence, H, Albergel, C, Rosnay, P, Isaksen, L, Mecklenburg, S, Kerr, Y and Drusch, M. 2019. Assimilation of SMOS brightness temperatures in the ECMWF Integrated Forecasting System. Quarterly Journal of the Royal Meteorological Society, 145(723): 2524–2548. DOI: 10.1002/qj.3577
- Noilhan, J and Mahfouf, J-F. 1996. The ISBA land surface parameterization scheme. Global and Planetary Change, 13: 145–159. DOI: 10.1016/0921-8181(95)00043-7
- Noilhan, J and Planton, S. 1989. A simple parameterization of land surface processes for meteorological models. Monthly weather review, 117(3): 536–549. DOI: 10.1175/1520-0493(1989)117<;0536:ASPOLS>2.0.CO;2
- Pergaud, J, Masson, V, Malardel, S and Couvreux, F. 2009. A Parameterization of Dry Thermals and Shallow Cumuli for Mesoscale Numerical Weather Prediction. Boundary-Layer Meteorology, 132: 83–106. DOI: 10.1007/s10546-009-9388-0
- Radakovich, J, Houser, P, Da Silva, A and Bosilovich, M. 2001. Results From Global Land-surface Data Assimilation Methods. AGU Spring Meeting Abstracts.
- Reichle, RH, Kumar, SV, Mahanama, SP, Koster, RD and Liu, Q. 2010. Assimilation of Satellite-Derived Skin Temperature Observations into Land Surface Models. Journal of Hydrometeorology, 11(5): 1103–1122. DOI: 10.1175/2010JHM1262.1
- Rossow, WB, Walker, AW, Beuschel, DE and Roiter, MD. 1996. International Satellite Cloud Climatology Project (ISCCP) Documentation of New Cloud Datasets. World Meteorological Organization WMO/TD-No. 737.
- Sassi, MZ, Fourrié, N, Guidard, V and Birman, C. 2019. Use of Infrared Satellite Observations for the Surface Temperature Retrieval over Land in a NWP Context. Remote Sensing, 11: 2371. DOI: 10.3390/rs11202371
- Seemann, SW, Borbas, E, Knuteson, R, Stephenson, G and Huang, H-L. 2007. Development of a Global Infrared Land Surface Emissivity Database for Applicationto Clear Sky Sounding Retrievals from Multispectral Satellite Radiance Measurements. Journal of Applied Meteorology and Climatology, 47(1): 108–123. DOI: 10.1175/2007JAMC1590.1
- Seity, Y, Brousseau, P, Malardel, S, Hello, G, Bénard, P, Bouttier, F, Lac, C and Masson, V. 2011. The AROME-France Convective-Scale Operational Model. Monthly Weather Review, 139: 976–991. DOI: 10.1175/2010MWR3425.1
- Soci, C, Bazile, E, Besson, F and Landelius, T. 2016. High-resolution precipitation re-analysis system for climatological purposes. Tellus A: Dynamic Meteorology and Oceanography, 68(1): 29879. DOI: 10.3402/tellusa.v68.29879
- Stjepan, I. 2016. Improvement of surface analysis (for assimilation purpose). Stay report.
- Vincensini, A. 2013.
Contribution de IASI à l’estimation des paramètres des surfaces continentales pour la prévision numérique du temps , PhD thesis, Institut National Polytechnique de Toulouse.
DOI: https://doi.org/10.16993/tellusa.48 | Journal eISSN: 3035-9554
Language: English
Page range: 88 - 107
Submitted on: Mar 15, 2022
Accepted on: Nov 30, 2022
Published on: Feb 14, 2023
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2023 Mohamed Zied Sassi, Nadia Fourrié, Vincent Guidard, Camille Birman, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.