FN Archimer Export Format
PT J
TI Development of the UKESM-TOPAZ Earth System Model (Version 1.0) and Preliminary Evaluation of its Biogeochemical Simulations
BT 
AF Lee, Hyomee
   Moon, Byung-Kwon
   Jung, Hyun-Chae
   Park, Jong-Yeon
   Shim, Sungbo
   La, Nary
   Kim, Ah-Hyun
   Yum, Seong Soo
   Ha, Jong-Chul
   Byun, Young-Hwa
   Sung, Hyun Min
   Lee, Johan
AS 1:1;2:1;3:2;4:3;5:4;6:5;7:6;8:6;9:4;10:4;11:4;12:5;
FF 1:;2:;3:;4:;5:;6:;7:;8:;9:;10:;11:;12:;
C1 Divison of Science Education and Institute of Fusion Science, Jeonbuk National University, Jeonju, Republic of Korea
   Mirae Climate Co., Ltd., Seoul, Republic of Korea
   Department of Earth and Environmental Sciences, Jeonbuk National University, Jeonju, Republic of Korea
   Innovative Meteorological Research Department, National Institute of Meteorological Sciences, Seogwipo, Republic of Korea
   Operational Systems Development Department, National Institute of Meteorological Sciences, Seogwipo, Republic of Korea
   Department of Atmospheric Sciences, Yonsei University, Seoul, Republic of Korea
C2 UNIV NATL JEONBUK, SOUTH KOREA
   MIRAE CLIMATE CO., SOUTH KOREA
   UNIV NATL JEONBUK, SOUTH KOREA
   NIMS, SOUTH KOREA
   NIMS, SOUTH KOREA
   UNIV YONSEI, SOUTH KOREA
IF 2.3
TC 2
UR https://archimer.ifremer.fr/doc/00755/86742/92212.pdf
   https://archimer.ifremer.fr/doc/00755/86742/92213.docx
LA English
DT Article
CR OISO - OCÉAN INDIEN SERVICE D'OBSERVATION
DE ;Earth system model;UKESM1;TOPAZ;UKESM-TOPAZ;Biogeochemistry
AB Earth system models (ESMs) comprise various Earth system components and simulate the interactions between these components. ESMs can be used to understand climate feedbacks between physical, chemical, and biological processes and predict future climate. We developed a new ESM, UKESM-TOPAZ, by coupling the UK ESM (UKESM1) and the Tracers of Phytoplankton with Allometric Zooplankton (TOPAZ) biogeochemical module. We then compared the preliminary simulated biogeochemical variables, which were conducted over a period of 70 years, using observational and existing UKESM1 model data. Similar to UKESM1, the newly developed UKESM-TOPAZ closely simulated the relationship between the El Niño-Southern Oscillation and chlorophyll concentration anomalies during the boreal winter. However, there were differences in the chlorophyll distributions in the eastern equatorial Pacific between the two models, which were due to dissolved iron, as this value was higher in UKESM-TOPAZ than in UKESM1. In a mean field analysis, the distributions of the major marine biogeochemical variables in UKESM-TOPAZ (i.e., nitrate, silicate, dissolved oxygen, dissolved inorganic carbon, and alkalinity) were not significantly different from those of UKESM1, likely because the models share the same initial conditions. Our results indicate that TOPAZ has a simulation performance that does not lag behind UKESM1’s basic biogeochemical model (Model of Ecosystem Dynamics, nutrient Utilisation, Sequestration, and Acidification; MEDUSA). The UKESM-TOPAZ model can simulate the variability of the observed Niño 3.4 and 4 indices more closely than UKESM1. Thus, the UKESM-TOPAZ model can be used to deepen our understanding of the Earth system and to estimate ESM uncertainty. 
PY 2022
PD AUG
SO Asia-pacific Journal Of Atmospheric Sciences
SN 1976-7633
PU Springer Science and Business Media LLC
VL 58
IS 3
UT 000705758000001
BP 379
EP 400
DI 10.1007/s13143-021-00263-0
ID 86742
ER

EF