Pregled bibliografske jedinice broj: 1252890
Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region
Towards Ensemble-Based Kilometer-Scale Climate Simulations over the Third Pole Region // Climate Dynamics, 60 (2022), s00382-022-06543-3, 20 doi:10.1007/s00382-022-06543-3 (međunarodna recenzija, članak, znanstveni)
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Naslov
Towards Ensemble-Based Kilometer-Scale Climate
Simulations over the Third Pole Region
Autori
Prein, Andreas F. ; Ban, Nikolina ; Ou, Tinghai ; Tang, Jianping ; Sakaguchi, Koichi ; Collier, Emily ; Jayanarayanan, Sanjay ; Li, Lu ; Sobolowski, Stefan ; Chen, Xingchao ; Zhou, Xu ; Lai, Hui-Wen ; Sugimoto, Shiori ; Zou, Liwei ; Hasson, Shabeh ul ; Ekstrom, Marie ; Pothapakula, Praveen Kumar ; Ahrens, Bodo ; Stuart, Romilly ; Steen-Larsen, Hans Christian ; Leung, Ruby ; Belusic, Danijel ; Kukulies, Julia ; Curio, Julia ; Chen, Deliang
Izvornik
Climate Dynamics (0930-7575) 60
(2022);
S00382-022-06543-3, 20
Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni
Ključne riječi
Kilometer-scale modeling ; Third Pole Region ; CORDEX ; Ensembles
Sažetak
The Tibetan Plateau and its surrounding mountains have an average elevation of 4, 400 m and a glaciated area of ∼100, 000 km2 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.
Izvorni jezik
Engleski
Znanstvena područja
Geofizika
POVEZANOST RADA
Ustanove:
Prirodoslovno-matematički fakultet, Zagreb
Profili:
Danijel Belušić
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Current Contents Connect (CCC)
- Web of Science Core Collection (WoSCC)
- Science Citation Index Expanded (SCI-EXP)
- SCI-EXP, SSCI i/ili A&HCI
- Scopus