
High-Resolution Reanalysis of Daily Precipitation using AROME Model Over France
References
- Amezcua, J and Van Leeuwen, PJ. 2014. Gaussian anamorphosis in the analysis step of the EnKF: a joint state-variable/observation approach. Tellus A: Dynamic Meteorology and Oceanography, 66(1):
23493 . DOI: 10.3402/tellusa.v66.23493 - Box, GE and Cox, DR. 1964. An analysis of transformations. Journal of the Royal Statistical Society: Series B (Methodological), 26(2): 211–243. URL
https://rss.onlinelibrary.wiley.com/doi/abs/10.1111/j.2517-6161.1964.tb00553.x . DOI: 10.1111/j.2517-6161.1964.tb00553.x - 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. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2822 . DOI: 10.1002/qj.2822 - Carrera, ML, Bélair, S, Fortin, V, Bilodeau, B, Charpentier, D and Doré, I. 2010. Evaluation of snowpack simulations over the Canadian Rockies with an experimental hydrometeorological modeling system. Journal of Hydrometeorology, 11(5): 1123–1140. DOI: 10.1175/2010JHM1274.1
- Cecinati, F, Wani, O and Rico-Ramirez, MA. 2017. Comparing approaches to deal with non-Gaussianity of rainfall data in kriging-based radar-gauge rainfall merging. Water Resources Research, 53(11): 8999–9018. URL
https://agupubs.onlinelibrary.wiley.com/doi/abs/10.1002/2016WR020330 . DOI: 10.1002/2016WR020330 - Dahlgren, P, Landelius, T, Kållberg, P and Gollvik, S. 2016. A high-resolution regional reanalysis for Europe. Part 1: Three-dimensional reanalysis with the regional HIgh-Resolution Limited-Area Model (HIRLAM). Quarterly Journal of the Royal Meteorological Society, 142(698): 2119–2131. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2807 . DOI: 10.1002/qj.2807 - Daley, R. 1993.
Atmospheric data analysis. Number 2 . Cambridge university press. - Dee, DP and Da Silva, AM. 1999. Maximum-likelihood estimation of forecast and observation error covariance parameters. Part I: Methodology. Monthly Weather Review, 127(8): 1822–1834. URL
https://journals.ametsoc.org/view/journals/mwre/127/8/1520-0493_1999_127_1822_mleofa_2.0.co_2.xml . DOI: 10.1175/1520-0493(1999)127<;1822:MLEOFA>2.0.CO;2 - Dee, DP, Uppala, SM, Simmons, AJ, Berrisford, P, Poli, P, Kobayashi, S, Andrae, U, Balmaseda, MA, Balsamo, G, Bauer, P, Bechtold, P, Beljaars, ACM, van de Berg, L, Bidlot, J, Bormann, N, Delsol, C, Dragani, R, Fuentes, M, Geer, AJ, Haimberger, L, Healy, SB, Hersbach, H, Hólm, EV, Isaksen, L, Kållberg, P, Köhler, M, Matricardi, M, McNally, AP, Monge-Sanz, BM, Morcrette, J-J, Park, B-K, Peubey, C, de Rosnay, P, Tavolato, C, Thépaut, J-N and Vitart, F. 2011. The ERA-Interim reanalysis: configuration and performance of the data assimilation system. Quarterly Journal of the Royal Meteorological Society, 137(656): 553–597. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.828 . DOI: 10.1002/qj.828 - 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: A journal of the atmospheric sciences, applied meteorology and physical oceanography, 131(613): 3385–3396. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1256/qj.05.108 . DOI: 10.1256/qj.05.108 - Devers, A, Vidal, J-P, Lauvernet, C, Graff, B and Vannier, O. 2020. A framework for high-resolution meteorological surface reanalysis through offline data assimilation in an ensemble of downscaled reconstructions. Quarterly Journal of the Royal Meteorological Society, 146(726): 153–173. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.3663 . DOI: 10.1002/qj.3663 - Donat, MG, Sillmann, J, Wild, S, Alexander, LV, Lippmann, T and Zwiers, FW. 2014. Consistency of temperature and precipitation extremes across various global gridded in situ and reanalysis datasets. Journal of Climate, 27(13): 5019–5035. URL
https://journals.ametsoc.org/view/journals/clim/27/13/jcli-d-13-00405.1.xml . DOI: 10.1175/JCLI-D-13-00405.1 - Durand, Y, Brun, E, Merindol, L, Guyomarc’h, G, Lesaffre, B and Martin, E. 1993. A meteorological estimation of relevant parameters for snow models. Annals of Glaciology, 18: 65–71. DOI: 10.3189/S0260305500011277
- Erdin, R, Frei, C and Künsch, HR. 2012. Data transformation and uncertainty in geostatistical combination of radar and rain gauges. Journal of Hydrometeorology, 13(4): 1332–1346. URL
https://journals.ametsoc.org/view/journals/hydr/13/4/jhm-d-11-096_1.xml . DOI: 10.1175/JHM-D-11-096.1 - Evans, A. 2013. Investigation of enhancements to two fundamental components of the statistical interpolation method used by the Canadian Precipitation Analysis (CaPA). PhD thesis, University of Manitoba. URL
https://mspace.lib.umanitoba.ca/xmlui/handle/1993/22276 . - Fletcher, SJ and Zupanski, M. 2006. A data assimilation method for log-normally distributed observational errors. Quarterly Journal of the Royal Meteorological Society, 132(621): 2505–2519. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1256/qj.05.222 . DOI: 10.1256/qj.05.222 - Fortin, V, Roy, G, Donaldson, N and Mahidjiba, A. 2015. Assimilation of radar quantitative precipitation estimations in the Canadian Precipitation Analysis (CaPA). Journal of Hydrology, 531: 296–307. URL
https://www.sciencedirect.com/science/article/pii/S0022169415005624 . DOI: 10.1016/j.jhydrol.2015.08.003 - Hersbach, H, Bell, B, Berrisford, P, Hirahara, S, Horányi, A, Muñoz-Sabater, J, Nicolas, J, Peubey, C, Radu, R, Schepers, D, Simmons, A, Soci, C, Abdalla, S, Abellan, X, Balsamo, G, Bechtold, P, Biavati, G, Bidlot, J, Bonavita, M, De Chiara, G, Dahlgren, P, Dee, D, Diamantakis, M, Dragani, R, Flemming, J, Forbes, R, Fuentes, M, Geer, A, Haimberger, L, Healy, S, Hogan, RJ, Hólm, E, Janisková, M, Keeley, S, Laloyaux, P, Lopez, P, Lupu, C, Radnoti, G, de Rosnay, P, Rozum, I, Vamborg, F, Villaume, S and Thépaut, J-N. 2020. The ERA5 global reanalysis. Quarterly Journal of the Royal Meteorological Society, 146(730): 1999–2049. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.3803 . DOI: 10.1002/qj.3803 - Ishak, NAM and Ahmad, S. 2018.
Box-Cox optimal parameter estimation for multiple regressions with homoscedasticity . In Regional Conference on Science, Technology and Social Sciences (RCSTSS 2016), pages 1047–1054. Springer Singapore. DOI: 10.1007/978-981-13-0074-5_103 - Jermey, P, Davie, J, Mahmood, S and Renshaw, R. 2015. Development of ensemble variational data capability and report demonstrating ensemble uncertainty products. UERRA deliverable D2.1.
- Kaiser-Weiss, AK, Borsche, M, Niermann, D, Kaspar, F, Lussana, C, Isotta, FA, van den Besselaar, E, van der Schrier, G and Undén, P. 2019. Added value of regional reanalyses for climatological applications. Environmental Research Communications, 1(7):
071004 . DOI: 10.1088/2515-7620/ab2ec3 - Kobayashi, S, Ota, Y, Harada, Y, Ebita, A, Moriya, M, Onoda, H, Onogi, K, Kamahori, H, Kobayashi, C, Endo, H, et al. 2015. The JRA-55 reanalysis: General specifications and basic characteristics. Journal of the Meteorological Society of Japan. Ser. II, 93(1): 5–48. DOI: 10.2151/jmsj.2015-001
- Landelius, T, Dahlgren, P, Gollvik, S, Jansson, A and Olsson, E. 2016. A high-resolution regional reanalysis for Europe. Part 2: 2D analysis of surface temperature, precipitation and wind. Quarterly Journal of the Royal Meteorological Society, 142(698): 2132–2142. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/qj.2813 . DOI: 10.1002/qj.2813 - L’Ecuyer, TS and Stephens, GL. 2002. An estimation-based precipitation retrieval algorithm for attenuating radars. Journal of Applied Meteorology and Climatology, 41(3): 272–285. URL
https://journals.ametsoc.org/view/journals/apme/41/3/1520-0450_2002_041_0272_aebpra_2.0.co_2.xml . DOI: 10.1175/1520-0450(2002)041<;0272:AEBPRA>2.0.CO;2 - Legates, DR and Willmott, CJ. 1990. Mean seasonal and spatial variability in gauge-corrected, global precipitation. International Journal of Climatology, 10(2): 111–127. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.3370100202 . DOI: 10.1002/joc.3370100202 - Lespinas, F, Fortin, V, Roy, G, Rasmussen, P and Stadnyk, T. 2015. Performance Evaluation of the Canadian Precipitation Analysis (CaPA). Journal of Hydrometeorology, 16(5): 2045–2064. DOI: 10.1175/JHM-D-14-0191.1
- Lien, G-Y, Kalnay, E and Miyoshi, T. 2013. Effective assimilation of global precipitation: Simulation experiments. Tellus A: Dynamic Meteorology and Oceanography, 65(1):
19915 . DOI: 10.3402/tellusa.v65i0.19915 - Lussana, C, Nipen, TN, Seierstad, IA and Elo, CA. 2020. Ensemble-based statistical interpolation with Gaussian anamorphosis for the spatial analysis of precipitation. Nonlinear Processes in Geophysics Discussions, 2020(1): 1–43. URL
https://npg.copernicus.org/articles/28/61/2021/ . DOI: 10.5194/npg-28-61-2021 - Mahfouf, J, Brasnett, B and Gagnon, S. 2007. A Canadian Precipitation Analysis (CaPA) project: Description and preliminary results. Atmosphere-Ocean, 45(1): 1–17. DOI: 10.3137/ao.v450101
- Onogi, K, Tsutsui, J, Koide, H, Sakamoto, M, Kobayashi, S, Hatsushika, H, Matsumoto, T, Yamazaki, N, Kamahori, H, Takahashi, K, et al. 2007. The JRA-25 reanalysis. Journal of the Meteorological Society of Japan. Ser. II, 85(3): 369–432. DOI: 10.2151/jmsj.85.369
- Ridal, M, Olsson, E, Unden, P, Zimmermann, K and Ohlsson, A. 2017. HARMONIE reanalysis report of results and dataset. UERRA deliverable D2.7.
- Rodríguez-Puebla, C, Encinas, AH and SÁenz, J. 2001. Winter precipitation over the Iberian peninsula and its relationship to circulation indices. Hydrology and Earth System Sciences Discussions, 5(2): 233–244. URL
https://hal.archives-ouvertes.fr/hal-00304599 . DOI: 10.5194/hess-5-233-2001 - 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(3): 976–991. URL
https://journals.ametsoc.org/view/journals/mwre/139/3/2010mwr3425.1.xml . DOI: 10.1175/2010MWR3425.1 - Sevruk, B. 1996. Adjustment of tipping-bucket precipitation gauge measurements. Atmospheric Research, 42(1–4): 237–246. URL
https://www.sciencedirect.com/science/article/pii/0169809595000666 . DOI: 10.1016/0169-8095(95)00066-6 - 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 - Tippett, MK, Barnston, AG and Robertson, AW. 2007. Estimation of seasonal precipitation tercile-based categorical probabilities from ensembles. Journal of climate, 20(10): 2210–2228. URL
https://journals.ametsoc.org/view/journals/clim/20/10/jcli4108.1.xml . DOI: 10.1175/JCLI4108.1 - Touma, D, Michalak, AM, Swain, DL and Diffenbaugh, NS. 2018. Characterizing the spatial scales of extreme daily precipitation in the United States. Journal of Climate, 31(19): 8023–8037. URL:
https://journals.ametsoc.org/view/journals/clim/31/19/jcli-d-18-0019.1.xml . DOI: 10.1175/JCLI-D-18-0019.1 - Vidal, J-P, Martin, E, Franchistéguy, L, Baillon, M and Soubeyroux, J-M. 2010. A 50-year high-resolution atmospheric reanalysis over France with the SAFRAN system. International Journal of Climatology, 30(11): 1627–1644. URL
https://rmets.onlinelibrary.wiley.com/doi/abs/10.1002/joc.2003 . DOI: 10.1002/joc.2003 - Wang, Y, Chen, J and Yang, D. 2019. Bayesian assimilation of multiscale precipitation data and sparse ground gauge observations in mountainous areas. Journal of Hydrometeorology, 20(8): 1473–1494. URL
https://journals.ametsoc.org/view/journals/hydr/20/8/jhm-d-18-0218_1.xml . DOI: 10.1175/JHM-D-18-0218.1
DOI: https://doi.org/10.16993/tellusa.95 | Journal eISSN: 3035-9554
Language: English
Page range: 27 - 49
Submitted on: May 5, 2022
Accepted on: Aug 24, 2022
Published on: Jan 5, 2023
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2023 Stéphane Van Hyfte, Patrick Le Moigne, Eric Bazile, Antoine Verrelle, Aaron Boone, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.