SLFの科学者は、これまで考慮されていなかった地表現象を取り入れることで、広く使われている気象予測モデルの精度を向上させるプログラムを開発しました。 Scientists from EPFL and the WSL Institute for Snow and Avalanche Research SLF have developed a program that improves the accuracy of a widely used weather forecasting model by incorporating surface phenomena that weren’t previously taken into account.
2023-03-01 スイス連邦工科大学ローザンヌ校(EPFL)
彼らは、SNOWPACKと呼ばれるソフトウェアプログラムをWRFモデルに組み合わせ、CRYOWRFという新しいモデルを作成し、これによって雪の質量バランスの予測精度を10％から20％向上させることができた。
CRYOWRFは、将来的に世界中の気候モデルに組み込まれる可能性がある。また、スイス気象局はCRYOWRFの特徴を予測モデルに取り入れる予定である。この研究は、水や電力などの重要な資源に影響を与える地球のクライオスフィアの研究にとって重要な意義がある。
＜関連情報＞
- https://actu.epfl.ch/news/scientists-improve-the-accuracy-of-weather-and-cli/
- https://gmd.copernicus.org/articles/16/719/2023/
CRYOWRF v1.0の紹介：高度な雪庇モデリングによるマルチスケール大気流シミュレーション Introducing CRYOWRF v1.0: multiscale atmospheric flow simulations with advanced snow cover modelling
Varun Sharma, Franziska Gerber, and Michael Lehning
Geoscientific Model Development Published:30 Jan 2023
DOI:https://doi.org/10.5194/gmd-16-719-2023
Abstract
Accurately simulating snow cover dynamics and the snow–atmosphere coupling is of major importance for topics as wide-ranging as water resources, natural hazards, and climate change impacts with consequences for sea level rise. We present a new modelling framework for atmospheric flow simulations for cryospheric regions called CRYOWRF. CRYOWRF couples the state-of-the-art and widely used atmospheric model WRF (the Weather Research and Forecasting model) with the detailed snow cover model SNOWPACK. CRYOWRF makes it feasible to simulate the dynamics of a large number of snow layers governed by grain-scale prognostic variables with online coupling to the atmosphere for multiscale simulations from the synoptic to the turbulent scales. Additionally, a new blowing snow scheme is introduced in CRYOWRF and is discussed in detail. CRYOWRF’s technical design goals and model capabilities are described, and the performance costs are shown to compare favourably with existing land surface schemes. Three case studies showcasing envisaged use cases for CRYOWRF for polar ice sheets and alpine snowpacks are provided to equip potential users with templates for their research. Finally, the future roadmap for CRYOWRF’s development and usage is discussed.
