Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Dikra Khedhaouiria"'
Autor:
Stéphane Bélair, Pei-Ning Feng, Franck Lespinas, Dikra Khedhaouiria, David Hudak, Daniel Michelson, Catherine Aubry, Florence Beaudry, Marco L. Carrera, Julie M. Thériault
Publikováno v:
Atmosphere, Vol 15, Iss 7, p 763 (2024)
Several configurations of the Canadian Precipitation Analysis system (CaPA) currently produce precipitation analyses at Environment and Climate Change Canada (ECCC). To improve CaPA’s performance during the winter season, the impact of assimilating
Externí odkaz:
https://doaj.org/article/d6664f58e24b4df3a79dd02251b12186
Autor:
Étienne Gaborit, Radenko Pavlovic, Franck Lespinas, Marco L. Carrera, Xihong Wang, Maxim Bulat, Guy Roy, Vincent Fortin, Bernard Bilodeau, Juliane Mai, Milena Dimitrijevic, Ryan Muncaster, Nedka Pentcheva, Dikra Khedhaouiria, Nicolas Gasset
Publikováno v:
Hydrology and Earth System Sciences, Vol 25, Pp 4917-4945 (2021)
Environment and Climate Change Canada has initiated the production of a 1980–2018, 10 km, North American precipitation and surface reanalysis. ERA-Interim is used to initialize the Global Deterministic Reforecast System (GDRS) at a 39 km resolution
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e2ae5a65fc8b9f1099802e3f85c280a8
https://hess.copernicus.org/articles/25/4917/2021/hess-25-4917-2021.pdf
https://hess.copernicus.org/articles/25/4917/2021/hess-25-4917-2021.pdf
Publikováno v:
Journal of Hydrometeorology. 21:2023-2039
Consistent and continuous fields provided by precipitation analyses are valuable for hydrometeorological applications and land data assimilation modeling, among others. Providing uncertainty estimates is a logical step in the analysis development, an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::119b74e4a1b2e727acf151f654f9e0ac
https://doi.org/10.1175/jhm-d-19-0282.1
https://doi.org/10.1175/jhm-d-19-0282.1
Publikováno v:
Stochastic Environmental Research and Risk Assessment. 34:1385-1405
High densities of local-scale daily precipitation series across relatively large domains are of special interest for a wide range of applications (e.g., hydrological modeling, agriculture). The focus of the present study is to post-process gridded pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0b959c2da40073adae2b2d1a001e1437
https://doi.org/10.1007/s00477-019-01722-x
https://doi.org/10.1007/s00477-019-01722-x
Autor:
Nicolas Gasset, Vincent Fortin, Milena Dimitrijevic, Marco Carrera, Bernard Bilodeau, Ryan Muncaster, Étienne Gaborit, Guy Roy, Nedka Pentcheva, Maxim Bulat, Xihong Wang, Radenko Pavlovic, Franck Lespinas, Dikra Khedhaouiria
Environment and Climate Change Canada has initiated the production of a 1980–2018, 10 km, North American precipitation and surface reanalysis. ERA-Interim is used to initialize the Global Deterministic Reforecast System (GDRS) at a 39 km resolu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f06976891856be5460b5818b99115f85
https://doi.org/10.5194/hess-2021-41
https://doi.org/10.5194/hess-2021-41
Publikováno v:
Journal of Applied Meteorology and Climatology. 57:2419-2438
Reanalyses, generated by numerical weather prediction methods assimilating past observations, provide consistent and continuous meteorological fields for a specific period. In regard to precipitation, reanalyses cannot be used as a climate proxy of t
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::24c9e2bb1eac0b046644ba6305176291
https://doi.org/10.1175/jamc-d-18-0019.1
https://doi.org/10.1175/jamc-d-18-0019.1
Publikováno v:
Atmosphere-Ocean. 56:104-116
[Traduit par la redaction] Les reanalyses, fondees sur des methodes de prevision numerique du temps qui assimilent les observations existantes, fournissent des champs continus de donnees de precipitations et representent une option interessante pour
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0be65ad3ea7fa1a60b144bd8c584825e
https://doi.org/10.1080/07055900.2018.1434122
https://doi.org/10.1080/07055900.2018.1434122