杜佳穎Tu, Chia-Ying

研究興趣

As an associate research specialist in the past few years, I considered my role as a linkage for climate model development between ACCC and academic institutions, software engineers and scientists, and model output and scientific understandings. When I was an assistant research specialist in 2012~2019, my research directions included: the implementation, development, and utilization of high-resolution GCM for climate simulations and projections; and the implementation and development of the FV3-based weather forecast model. Since 2019, these research activities have been extended to high-resolution modeling work. They can be summarized as (1) climate model development, (2) climate simulations and projections, (3) development and utilization of an FV3-based weather forecast model, and (4) wind energy assessment.
 

代表著作

Wan-Ling Tseng, Huang-Hsiung Hsu, Yung-Yao Lan, Chia-Ying Tu, Pei-Hsuan Kuo, Ben-Jei Tsuang, and Hsin-Chien Liang (2022, Jul) Improving Madden–Julian Oscillation Simulation in Atmospheric General Circulation Models by Coupling with Snow–Ice–Thermocline One-dimensional Ocean Model. Geosci. Model Dev., 15, 5529–5546, DOI: 10.5194/gmd-2021-381

Chao-An Chen, H. H., Hsu, H. C. Liang, P. G. Chiu, and C. Y., Tu (2022, Mar) Future change in extreme precipitation in East Asian spring and Mei-yu seasons in two high-resolution AGCMs. Weather and Climate Extremes. Vol. 35(2022) 100408, DOI:10.1016/j.wace.2022.100408

Sheng-Chu Hung, Wen-Yi Chang, Whey-Fone Tsai*, Chih-Yu Kuo, Jian-Ming Liau, Chuan-Yiao Lin, Tai-Wen Hsu, Chia-Ying Tu, Chien-Heng Wu, Yu-Feng Chung, and Jheng-Nan Huang (2021, Jul.) Development of high-precision wind, wave and current forecast system for offshore wind energy industry in Taiwan: a two-stage method of numerical simulation and AI correction, Journal of the Chinese Institute of Engineers, Vol. 44(6): 532-543, DOI: 10.1080/02533839.2021.1936643

Chi-Cherng Hong, Chih-Hua Tsou*, Pang-Chi Hsu, Kuan-Chieh Chen, Hsin-Chien Liang, Huang-Hsiung Hsu, Chia-Ying Tu, and Akio Kitoh (2021, Mar) Future Changes in Tropical Cyclone Intensity and Frequency over the Western North Pacific Based on 20-km HiRAM and MRI Models. J. Climate. Vol. 34(6), DOI: 10.1175/JCLI-D-20-0417.1

Pang-Chi Hsu, Kuan-Chieh Chen, Chih-Hua Tsou, Huang-Hsiung Hsu, Chi-Cherng Hong, Hsin-Chien Liang, Chia-Ying Tu, Akio Kitoh (2021, Mar): Future Changes in the Frequency and Destructiveness of Landfalling Tropical Cyclones Over East Asia Projected by High-Resolution AGCMs. Earth’s Future, Vol. 9(3), e2020EF001888, DOI:10.1029/2020EF001888

Wei-Liang Lee, Yi-Chi Wang, Chein-Jung Shiu, I-chun Tsai, Chia-Ying Tu, Yung-Yao Lan, Jen-Ping Chen, Hua-Lu Pan, and Huang-Hsiung Hsu (2020, Sep). Taiwan Earth System Model Version 1: description and evaluation of mean state. Geosci. Model Dev., Vol. 13(9):3887-3904, DOI: 10.5194/gmd-13-3887-2020.

Guoxing Chen, Wei-Chyung Wang*, and Lijun Tao, Huang-Hsiung Hsu, Chia-Ying Tu, Chao-Tzuen Cheng, 2019: Extreme snow events along the coast of the northeast United States: Analysis of 1980–2015 observations and HiRAM AMIP historical simulation. J. Climate, Vol.32(21), pp7561-7574, DOI: 10.1175/JCLI-D-18-0874.1

Arakane, S., H.-H. Hsu, C.‑Y. Tu, H.-C. Liang, Z.-Y. Yan, S.-J. Lin, (2019): Remote Effect of a Tropical Cyclone in the Bay of Bengal on a Heavy Rainfall Event in Subtropical East Asia. Clim Atmos Sci, Vol.2(25), DOI: 10.1038/s41612-019-0082-8

Chen, C., H.-H. Hsu, Hong, C, P.-G. Chiu, C.‑Y. Tu, S.-J. Lin, A. Kitoh, (2019): Seasonal precipitation change in the Western North Pacific and East Asia under global warming in two high‑resolution AGCMs. Clim Dyn, Vol. 53, pp.5583–5605, DOI: 10.1007/s00382-019-04883-1

Tseng, Wan-Ling., Huang-Hsiung Hsu, Noel S. Keenlyside, Chiung-Wen June Chang, Ben-Jei Tsuang, Chia-Ying Tu and Li-Chiang Jiang, (2017): Effects of Surface Orography and Land–Sea Contrast on the Madden–Julian Oscillation in the Maritime Continent: A Numerical Study Using ECHAM5-SIT, J. Climate, Vol.30, pp9725-9741, DOI: 10.1175/JCLI-D-17-0051.1

Freychet, N., H.-H. Hsu, A. Duchez and C.-Y. Tu, (2017): Projection in snowfall characteristics over the European Alps and its sensitivity to the SST changes: results from a 50 km resolution AGCM. Atmos. Sci. Let., Vol.18, pp261-267, DOI: 10.1002/asl.751

Lucas M. Harris, Shian-Jiann Lin and ChiaYing Tu, (2016): High-Resolution Climate Simulations Using GFDL HiRAM with a Stretched Global Grid, J. Climate, Vol.29, pp4293-4314, DOI: 10.1175/JCLI-D-15-0389.1

Tu, C.-Y.; and B.-J. Tsuang, (2005): Cool-skin simulation by a one-column ocean model, Geophys. Res. Lett., 32, L22602, doi:10.1029/2005GL024252..

Tsuang, B.-J. and Tu, C.-Y., (2002): Model structure and land parameter identification: an inverse approach. J. Geophys. Res. 107(D10), 10.1029/2001JD000711, ACL 15

關鍵技術及研發

Utilizing HiRAM for long-term high-resolution climate experiments is one of the major activities in ACCC. Three periods of time-slice experiments following CMIP5 RCP scenarios have been conducted with HiRAM for the present time (1979-2015), near future (2040-2065), and end of the century (207-2100). These HiRAM simulations and projections also have been provided to Taiwan’s research community for dynamical downscaling to understand future climate change and its impact on Taiwan. Other than HiRAM simulations and projections under CMIP5 RCP scenarios, I further utilized HiRAM and HiRAM-SIT to participate in CMIP6-HighResMIP. There are three tiers of HR (high resolution) and LR (low resolution) simulations in the CMIP6-HighResMIP protocol. In ACCC, HiRAM was used for the atmosphere-only uncoupled simulations in Tier1 (1950-2014) and Tier3 (2015-2100), while HiRAM-SIT was used for the atmosphere-ocean coupled simulations in Tier2 (1950-2100). For high- and low-resolution simulations, C384 (~25km) was used as HR experiments, and C192 (50km) was used as LR experiments. The high-resolution 0.25o daily SST (sea surface temperature) datasets, Hadi2SST, were used as prescribed SST in the atmosphere-only experiments and nudged SST in the coupled HiRAM-SIT simulations. The other high-resolution 0.25o daily SIC (sea ice concentration) dataset, Hadi2SIC, was used as the prescribed sea ice concentration in both HiRAM and HiRAM-SIT simulations. Additional three tiers of HR and LR simulations driven by 1o SST and 1o SIC from the coupled model TaiESM1 were also conducted from 1950-2100. There is a total of 800 years of CMIP6-HighResMIP data produced from HiRAM/HiRAM-SIT with C384 and C192 resolutions, respectively. They are driven by HadISST2 0.25o daily SST and SIC datasets and 1o monthly TaiESM1 SST and SIC. The model descriptions, experiment introductions, and the preliminary analysis of CMIP6-HighResMIP simulations using HiRAM/HiRAM-SIT are described in the RCEC 2022 technical report. A more comprehensive analysis is available on this website: http://140.109.172.135/~cpc9682/HiRAM_analysis/

The total output for CMIP6-HighResMIP HiRAM/HiRAM-SIT experiments is 939 TB. Due to the vast amount of data, only daily and monthly outputs with a size of about 22 TB were uploaded to the RCEC's Earth System Grid Federation (ESGF) node. The experiments and outputs index information are uploaded to DKRZ's ESGF-CoG node. The DOI of HiRAM/HiRAM-SIT data is available from ESGF: https://www.wdc-climate.de/ui/cmip6?input=CMIP6.HighResMIP.AS-RCEC.HiRAM-SIT-HR.

Outcome:
Chia-Ying Tu, and H.-C. Liang (2020, Dec). AS-RCEC HiRAM-SIT-HR model output prepared for CMIP6 HighResMIP. Earth System Grid Federation. DOI: 10.22033/ESGF/CMIP6.13301(https://doi.org/10.22033/ESGF/CMIP6.13301)

 

  • 副研究員
    台灣颱風洪水研究中心 (2011)
  • 博士
    國立中興大學
    環境工程研究所 (2006)
  • 碩士
    國立中興大學
    環境工程研究所 (1999)
  • 學士
    國立台灣大學
    大氣科學系 (1994)
  • (02) 2787-5948

  • cytu

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