TY - JOUR
T1 - Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region
AU - Prein, Andreas F.
AU - Ban, Nikolina
AU - Ou, Tinghai
AU - Tang, Jianping
AU - Sakaguchi, Koichi
AU - Collier, Emily
AU - Jayanarayanan, Sanjay
AU - Li, Lu
AU - Sobolowski, Stefan
AU - Chen, Xingchao
AU - Zhou, Xu
AU - Lai, Hui Wen
AU - Sugimoto, Shiori
AU - Zou, Liwei
AU - Hasson, Shabeh ul
AU - Ekstrom, Marie
AU - Pothapakula, Praveen Kumar
AU - Ahrens, Bodo
AU - Stuart, Romilly
AU - Steen-Larsen, Hans Christian
AU - Leung, Ruby
AU - Belusic, Danijel
AU - Kukulies, Julia
AU - Curio, Julia
AU - Chen, Deliang
N1 - Publisher Copyright:
© 2022, The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.
PY - 2023/6
Y1 - 2023/6
N2 - The Tibetan Plateau and its surrounding mountains have an average elevation of 4,400 m and a glaciated area of ∼ 100,000 km 2 giving it the name “Third Pole (TP) region”. The TP is the headwater of many major rivers in Asia that provide fresh water to hundreds of millions of people. Climate change is altering the energy and water cycle of the TP at a record pace but the future of this region is highly uncertain due to major challenges in simulating weather and climate processes in this complex area. The Convection-Permitting Third Pole (CPTP) project is a Coordinated Regional Downscaling Experiment (CORDEX) Flagship Pilot Study (FPS) that aims to revolutionize our understanding of climate change impacts on the TP through ensemble-based, kilometer-scale climate modeling. Here we present the experimental design and first results from multi-model, multi-physics ensemble simulations of three case studies. The five participating modeling systems show high performance across a range of meteorological situations and are close to having ”observational quality” in simulating precipitation and near-surface temperature. This is partly due to the large differences between observational datasets in this region, which are the leading source of uncertainty in model evaluations. However, a systematic cold bias above 2000 m exists in most modeling systems. Model physics sensitivity tests performed with the Weather Research and Forecasting (WRF) model show that planetary boundary layer (PBL) physics and microphysics contribute equally to model uncertainties. Additionally, larger domains result in better model performance. We conclude by describing high-priority research needs and the next steps in the CPTP project.
AB - The Tibetan Plateau and its surrounding mountains have an average elevation of 4,400 m and a glaciated area of ∼ 100,000 km 2 giving it the name “Third Pole (TP) region”. The TP is the headwater of many major rivers in Asia that provide fresh water to hundreds of millions of people. Climate change is altering the energy and water cycle of the TP at a record pace but the future of this region is highly uncertain due to major challenges in simulating weather and climate processes in this complex area. The Convection-Permitting Third Pole (CPTP) project is a Coordinated Regional Downscaling Experiment (CORDEX) Flagship Pilot Study (FPS) that aims to revolutionize our understanding of climate change impacts on the TP through ensemble-based, kilometer-scale climate modeling. Here we present the experimental design and first results from multi-model, multi-physics ensemble simulations of three case studies. The five participating modeling systems show high performance across a range of meteorological situations and are close to having ”observational quality” in simulating precipitation and near-surface temperature. This is partly due to the large differences between observational datasets in this region, which are the leading source of uncertainty in model evaluations. However, a systematic cold bias above 2000 m exists in most modeling systems. Model physics sensitivity tests performed with the Weather Research and Forecasting (WRF) model show that planetary boundary layer (PBL) physics and microphysics contribute equally to model uncertainties. Additionally, larger domains result in better model performance. We conclude by describing high-priority research needs and the next steps in the CPTP project.
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U2 - 10.1007/s00382-022-06543-3
DO - 10.1007/s00382-022-06543-3
M3 - Article
AN - SCOPUS:85141352760
SN - 0930-7575
VL - 60
SP - 4055
EP - 4081
JO - Climate Dynamics
JF - Climate Dynamics
IS - 11-12
ER -