4.6 Article

Impact of chlorophyll bias on the tropical Pacific mean climate in an earth system model

Journal

CLIMATE DYNAMICS
Volume 51, Issue 7-8, Pages 2681-2694

Publisher

SPRINGER
DOI: 10.1007/s00382-017-4036-8

Keywords

Phytoplankton; Climate model bias; Biogeochemical model; Biogeophysical feedback; GFDL-ESM; Air-sea coupling; CMIP5

Funding

  1. Korea Meteorological Administration Research and Development Program [KMIPA 2015-1041]
  2. National Research Foundation of Korea [NRF-2017R1A2B3011511]
  3. Hyundai Motor Chung Mong-Koo Foundation
  4. National Research Foundation of Korea [22A20130012323] Funding Source: Korea Institute of Science & Technology Information (KISTI), National Science & Technology Information Service (NTIS)

Ask authors/readers for more resources

Climate modeling groups nowadays develop earth system models (ESMs) by incorporating biogeochemical processes in their climate models. The ESMs, however, often show substantial bias in simulated marine biogeochemistry which can potentially introduce an undesirable bias in physical ocean fields through biogeophysical interactions. This study examines how and how much the chlorophyll bias in a state-of-the-art ESM affects the mean and seasonal cycle of tropical Pacific sea-surface temperature (SST). The ESM used in the present study shows a sizeable positive bias in the simulated tropical chlorophyll. We found that the correction of the chlorophyll bias can reduce the ESM's intrinsic cold SST mean bias in the equatorial Pacific. The biologically-induced cold SST bias is strongly affected by seasonally-dependent air-sea coupling strength. In addition, the correction of chlorophyll bias can improve the annual cycle of SST by up to 25%. This result suggests a possible modeling approach in understanding the two-way interactions between physical and chlorophyll biases by biogeophysical effects.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.6
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available