Preprints
https://doi.org/10.5194/hess-2021-41
https://doi.org/10.5194/hess-2021-41

  09 Mar 2021

09 Mar 2021

Review status: this preprint is currently under review for the journal HESS.

A 10 km North American Precipitation and Land Surface Reanalysis Based on the GEM Atmospheric Model

Nicolas Gasset1,, Vincent Fortin1,, Milena Dimitrijevic1, Marco Carrera1, Bernard Bilodeau1, Ryan Muncaster1, Étienne Gaborit1, Guy Roy2, Nedka Pentcheva2, Maxim Bulat2, Xihong Wang2, Radenko Pavlovic2, Franck Lespinas2, and Dikra Khedhaouiria1 Nicolas Gasset et al.
  • 1Meteorological Research Division, Environment and Climate Change Canada, Dorval, QC, Canada
  • 2Meteorological Service of Canada, Environment and Climate Change Canada, Dorval, QC, Canada
  • These authors contributed equally to this work.

Abstract. 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. Its output is then dynamically downscaled to 10 km by the Regional Deterministic Reforecast System (RDRS). Coupled with the RDRS, the Canadian Land Data Assimilation System (CaLDAS) and Precipitation Analysis (CaPA) are used to produce surface and precipitation analyses. All systems used are close to operational model versions and configurations. In this study, a 7-year sample of the reanalysis (2011–2017) is evaluated. Verification results show that the skill of the RDRS is stable over time, and equivalent to that of the current operational system. The impact of the coupling between RDRS and CaLDAS is explored using an early version of the reanalysis system which was run at 15 km resolution for the period 2010–2014, with and without the use of CaLDAS. Significant improvements are observed with CaLDAS in the lower troposphere and surface layer, especially for the 850 hPa dew point and absolute temperatures in summer. Precipitation is further improved through an offline precipitation analysis which allows the assimilation of additional observations of 24-h precipitation totals. The final dataset should be of particular interest for hydrological applications focusing on trans-boundary and northern watersheds, where existing products often show discontinuities at the border and assimilate very few – if any – precipitation observations.

Nicolas Gasset et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on hess-2021-41', Anonymous Referee #1, 20 Apr 2021
    • AC1: 'Reply on RC1', Vincent Fortin, 02 Jul 2021
  • RC2: 'Comment on hess-2021-41', Anonymous Referee #2, 27 May 2021
    • AC2: 'Reply on RC2', Vincent Fortin, 02 Jul 2021

Nicolas Gasset et al.

Nicolas Gasset et al.

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Short summary
In this paper, we highlight the importance of including land-data assimilation as well as offline precipitation analysis components in a regional reanalysis system. We also document the performance of the first multi-decadal 10-km reanalysis performed with the GEM atmospheric model that can be used for seamless land-surface and hydrological modelling in North America. It is of particular interest for transboundary basin, as existing datasets often show discontinuities at the border.