YOPP-SH, 6 June 2016, Byrd Polar and Climate Research Center, The Ohio State University YOPP-SH Implementation Plan of KOPRI Sang-Jong Park Division of Polar Climate Change, Korea Polar Research Institute Contributors: Seong-Joong Kim, Tae-Jin Choi, Joo-Hong Kim, Baek-Min Kim
In our division, Modeling - Seong-Joong Kim: paleo-climate, Antarctic climate - Baek-Min Kim: Arctic climate, Arctic-midlatitude connection, regional model - Joo-Hong Kim: sea ice model - Sang-Yoon Jun: sea ice and ice sheet model Observation - Tae-Jin Choi: Jang Bogo station, Dasan station, tundra site (Canada, Greenland) - Sang-Jong Park: King Sejong station, ARAON, tundra site (Alaska) Main phase
Observational plan Antarctic Stations King Sejong Station King George Island, Antarctic Peninsula Surface meteorology (continuous) Radiosonde sounding (Sep-Dec, 2018) with possible extension (Jan-Feb 2019) Potential collaboration with other stations in KGI, eg. Russia, Brazil, Chile? GTS through Korea Meteorological Administration (plan) King Sejong stn King Sejong Station, King George Island, Antarctica Jang Bogo stn
Observational plan Antarctic Stations Jang Bogo Station Terra Nova Bay, Victoria Land, Antarctica Surface meteorology (continuous) Radiosonde sounding (Sep-Dec, 2018) with possible extension (Jan-Mar 2019) Ceilometer (potential) SODAR (wind profile ~1km AGL) of Malaysia
Autosonde system
(Nov. to Feb.) Jang Bogo (Feb. to Nov.)
Observational plan Southern Ocean IBRV ARAON (Ship) Met observation and radiosonde sounding March-April, 2019 Ross Sea ~ Amundsen Sea ~ Bellingshausen Sea ~ Bransfield Strait ~ Drake Passage (potential) MiniMPL (aerosol, cloud ~10km) Nome, AK Arctic sea, 2015 JBG KSJ
Modeling plan Improving representation of polar clouds in a climate model (B-M Kim) Ship-based and station-based cloud observations Understanding mixed-phase polar clouds Developing model parameterization of polar clouds: convection & microphysics Developing sea ice prediction system (J-H Kim, B-M Kim, S-J Kim) Ocean and sea ice initialization using ensemble OI method Benchmark: PIOMAS (J Zhang, UW), RASM (W Maslowski, NPS) Develop a new ice physics scheme based on ice-camp observations Study of Antarctic high-impact weather using Polar-WRF (S-J Park, H Kwon) Based on high-resolution limited area model (Polar-WRF) Understanding characteristics of high-impact weather nearby KOPRI Antarctic stations Assessment of local observations (Radiosonde & AWS) impact for Antarctic high-impact weather using WRF-3DVAR
Thank you for your attention. e-mail: sangjong@kopri.re.kr
KOPRI s ongoing projects (interested in YOPP) Ongoing major project of polar meteorology and climate modeling (PI: S-J Kim) ~ 0.9 million US$ per year (2014.01-2016.12) Some representative activities (as of July 2015) Exclusive support of KOPRI s N-ICE2015 participation (Jan Mar 2015) Major support of meteorological observations in two Antarctic stations and IBRV Araon Substantial support of research on Arctic-midlatitude teleconnection ( Weakening of the stratospheric polar vortex by Arctic sea-ice loss 2014, Nat.Comms.) Primary project supporting climate modeling activity and multi-model based climate researches Ongoing major project of Arctic ocean and sea ice observation (PI: S-H Kang) ~ 3 million US$ per year (1 st step: 2011.07-2016.06, 2 nd step: 2016.07-2020.06) Major research area: ocean and sea-ice biogeochemistry, hydrographic survey Exclusive support of chartering Araon for Arctic research cruise during August Some representative activities (as of July 2015) Support of US ONR Marginal Ice Zone (MIZ) program (Aug 2014) Take the leadership of the Pacific Arctic Group (PAG) under IASC (2015-2016, Chair: S-H Kang) Sustaining ocean and sea ice observations over the Pacific Arctic since 2012 During 2 nd step: continuously support Arctic ocean and sea ice observation, will be a major supporter for developing a sea ice prediction system, interested in supporting MOSAiC with Araon Ongoing project for supporting observation and modeling of atmosphere and sea ice (PI: B-M Kim) ~ 1.4 million US$ per year (2016-2019) Ultimate aim: Improving Arctic climate and weather simulation and prediction Interested in: supporting Svalbard observing network and ship-based meteorological observation, MOSAiC with respect to atmosphere and sea ice observation, improving the representation of clouds in climate models