A Baseline for Global Weather and Climate Simulations at 1 km Resolution. (30th October 2020)
- Record Type:
- Journal Article
- Title:
- A Baseline for Global Weather and Climate Simulations at 1 km Resolution. (30th October 2020)
- Main Title:
- A Baseline for Global Weather and Climate Simulations at 1 km Resolution
- Authors:
- Wedi, Nils P.
Polichtchouk, Inna
Dueben, Peter
Anantharaj, Valentine G.
Bauer, Peter
Boussetta, Souhail
Browne, Philip
Deconinck, Willem
Gaudin, Wayne
Hadade, Ioan
Hatfield, Sam
Iffrig, Olivier
Lopez, Philippe
Maciel, Pedro
Mueller, Andreas
Saarinen, Sami
Sandu, Irina
Quintino, Tiago
Vitart, Frederic - Abstract:
- Abstract: In an attempt to advance the understanding of the Earth's weather and climate by representing deep convection explicitly, we present a global, four‐month simulation (November 2018 to February 2019) with ECMWF's hydrostatic Integrated Forecasting System (IFS) at an average grid spacing of 1.4 km. The impact of explicitly simulating deep convection on the atmospheric circulation and its variability is assessed by comparing the 1.4 km simulation to the equivalent well‐tested and calibrated global simulations at 9 km grid spacing with and without parametrized deep convection. The explicit simulation of deep convection at 1.4 km results in a realistic large‐scale circulation, better representation of convective storm activity, and stronger convective gravity wave activity when compared to the 9 km simulation with parametrized deep convection. Comparison of the 1.4 km simulation to the 9 km simulation without parametrized deep convection shows that switching off deep convection parametrization at a too coarse resolution (i.e., 9 km) generates too strong convective gravity waves. Based on the limited statistics available, improvements to the Madden‐Julian Oscillation or tropical precipitation are not observed at 1.4 km, suggesting that other Earth system model components and/or their interaction are important for an accurate representation of these processes and may well need adjusting at deep convection resolving resolutions. Overall, the good agreement of the 1.4 kmAbstract: In an attempt to advance the understanding of the Earth's weather and climate by representing deep convection explicitly, we present a global, four‐month simulation (November 2018 to February 2019) with ECMWF's hydrostatic Integrated Forecasting System (IFS) at an average grid spacing of 1.4 km. The impact of explicitly simulating deep convection on the atmospheric circulation and its variability is assessed by comparing the 1.4 km simulation to the equivalent well‐tested and calibrated global simulations at 9 km grid spacing with and without parametrized deep convection. The explicit simulation of deep convection at 1.4 km results in a realistic large‐scale circulation, better representation of convective storm activity, and stronger convective gravity wave activity when compared to the 9 km simulation with parametrized deep convection. Comparison of the 1.4 km simulation to the 9 km simulation without parametrized deep convection shows that switching off deep convection parametrization at a too coarse resolution (i.e., 9 km) generates too strong convective gravity waves. Based on the limited statistics available, improvements to the Madden‐Julian Oscillation or tropical precipitation are not observed at 1.4 km, suggesting that other Earth system model components and/or their interaction are important for an accurate representation of these processes and may well need adjusting at deep convection resolving resolutions. Overall, the good agreement of the 1.4 km simulation with the 9 km simulation with parametrized deep convection is remarkable, despite one of the most fundamental parametrizations being turned off at 1.4 km resolution and despite no adjustments being made to the remaining parametrizations. Plain Language Summary: We present the world's first global simulation of an entire season of the Earth's atmosphere with 1.4 km average grid spacing and the top of the modeled atmosphere as high as 80 km. Albeit only a single realization due to its considerable computational cost, the resulting model output provides a reference and guidance for future simulations. For illustration we compare to simulations at 9 km grid spacing that represent the state of the art in numerical weather prediction and are still considerably finer when compared to models that are used for climate projections today. Thanks to its unprecedented detail, the simulation output will support future model development and satellite mission planning and may be seen as a prototype contribution to a future digital twin of our Earth. Key Points: A unique simulation with 1.4 km average grid spacing is presented for model development and process evaluation The 1.4 km simulation shows remarkable fidelity with respect to the well‐calibrated simulation at 9 km with parametrized deep convection Switching off deep convection at a too coarse resolution (9 km) generates too strong convective gravity waves … (more)
- Is Part Of:
- Journal of advances in modeling earth systems. Volume 12:Number 11(2020)
- Journal:
- Journal of advances in modeling earth systems
- Issue:
- Volume 12:Number 11(2020)
- Issue Display:
- Volume 12, Issue 11 (2020)
- Year:
- 2020
- Volume:
- 12
- Issue:
- 11
- Issue Sort Value:
- 2020-0012-0011-0000
- Page Start:
- n/a
- Page End:
- n/a
- Publication Date:
- 2020-10-30
- Subjects:
- explicitly simulated convection -- atmosphere -- winter season -- high performance computing -- stratosphere -- MJO
Geological modeling -- Periodicals
Climatology -- Periodicals
Geochemical modeling -- Periodicals
551.5011 - Journal URLs:
- http://onlinelibrary.wiley.com/journal/10.1002/(ISSN)1942-2466 ↗
http://onlinelibrary.wiley.com/ ↗
http://adv-model-earth-syst.org/ ↗ - DOI:
- 10.1029/2020MS002192 ↗
- Languages:
- English
- ISSNs:
- 1942-2466
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 16403.xml