The NASA-GISS ModelE2.1-CC2 ESM: development and evaluation

This paper describes the NASA Goddard Institute for Space Studies (GISS) ModelE2.1-Carbon Cycle version 2 Earth System Model (NASA GISS E2.1-CC2 ESM), assesses its skill against observations and the previous version of the same model (GISS‐E2.1‐G‐CC). NASA GISS E2.1-CC2 ESM includes the same physical climate model E2.1-G as its predecessor, updated ocean and land carbon cycle and longer equilibrium simulations. While the focus here is on the land and ocean carbon components and their interactions with the atmosphere and ice, we also describe in detail the physical coupled model for consistency and ease of reference. We detail parameterizations, tuning, and conservation diagnostics that are relevant to the global (land and ocean) carbon cycle. We also describe the pre-industrial control and the historical simulations with this model while future climate scenarios will be addressed in a companion paper. The model is an improvement to prior releases, has been better tuned and spun up (all reservoirs: the ocean, the ocean carbon but especially the soil carbon reservoir) and exhibits smaller drifts in all carbon components. However, some persistent biases remain, particularly with regards to low ocean productivity and land primary production. Low ocean productivity may be due to (i) low iron concentration in high-nutrient and low chlorophyll regions, and (ii) lack of photoadaptation, which would increase the chl/C ratio in low-light environments, relieving light limitation beneath the surface of the ocean. Low land productivity may result from an insufficient gross primary productivity increase due to lack of prognostic LAI, or drought stress, or an underestimated CO 2 fertilization effect, or an overestimate of soil respiration due to biases in soil moisture, soil temperature, and/or how soil respiration responds to these environmental variables.

Authors

Institutions

Publication Details

Journal
Geoscientific model development
Published
2026-09-28
DOI
https://doi.org/10.5194/gmd-19-9131-2026
Primary Topic
Atmospheric and Environmental Gas Dynamics
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
article

The NASA-GISS ModelE2.1-CC2 ESM: development and evaluation

Nancy Yao-lan Kiang, Gavin A. Schmidt, Joy Romanski, Ron L. Miller et al.
Geoscientific model development
Atmospheric and Environmental Gas Dynamics
article

The NASA-GISS ModelE2.1-CC2 ESM: development and evaluation

Nancy Yao-lan Kiang, Gavin A. Schmidt, Joy Romanski, Ron L. Miller, Anastasia Romanou, Igor Aleinov, Maxwell Kelley, Ou Wang, Reto Ruedy, Gary Russell, Paul Lerner, Maria Z. Hakuba
article en

Abstract

This paper describes the NASA Goddard Institute for Space Studies (GISS) ModelE2.1-Carbon Cycle version 2 Earth System Model (NASA GISS E2.1-CC2 ESM), assesses its skill against observations and the previous version of the same model (GISS‐E2.1‐G‐CC). NASA GISS E2.1-CC2 ESM includes the same physical climate model E2.1-G as its predecessor, updated ocean and land carbon cycle and longer equilibrium simulations. While the focus here is on the land and ocean carbon components and their interactions with the atmosphere and ice, we also describe in detail the physical coupled model for consistency and ease of reference. We detail parameterizations, tuning, and conservation diagnostics that are relevant to the global (land and ocean) carbon cycle. We also describe the pre-industrial control and the historical simulations with this model while future climate scenarios will be addressed in a companion paper. The model is an improvement to prior releases, has been better tuned and spun up (all reservoirs: the ocean, the ocean carbon but especially the soil carbon reservoir) and exhibits smaller drifts in all carbon components. However, some persistent biases remain, particularly with regards to low ocean productivity and land primary production. Low ocean productivity may be due to (i) low iron concentration in high-nutrient and low chlorophyll regions, and (ii) lack of photoadaptation, which would increase the chl/C ratio in low-light environments, relieving light limitation beneath the surface of the ocean. Low land productivity may result from an insufficient gross primary productivity increase due to lack of prognostic LAI, or drought stress, or an underestimated CO 2 fertilization effect, or an overestimate of soil respiration due to biases in soil moisture, soil temperature, and/or how soil respiration responds to these environmental variables.

Geoscientific model developmentVol. 19(18)
Goddard Institute for Space Studies (US), California Institute of Technology (US), Jet Propulsion Laboratory (US), Columbia University (US)
Openalex Percentile: Top 15%
Atmospheric and Environmental Gas Dynamics
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.