Impact model: ELM-ECA

Since ELM-ECA is contributing to multiple sectors with the same simulations, please find additional model documentation specific to the Biomes sector here: https://www.isimip.org/impactmodels/details/373/

The Energy Exascale Earth System Model (E3SM) Project is an ongoing, state-of-the-science Earth system modeling, simulation, and prediction project that optimizes the use of DOE laboratory resources to meet the science needs of the nation and the mission needs of DOE. In this context, “laboratory resources” include current and future personnel, programs, and facilities. Collectively, they represent a unique combination of proficiencies in science, engineering, leadership computing, and information technologies—the expertise required to construct, maintain, and advance an Earth system modeling capability needed by the country and DOE.
https://e3sm.org/about/

ISIMIP3b
ISIMIP3a

Person responsible for model simulations in this simulation round

Qing Zhu: qzhu@lbl.gov, 0000-0003-2441-944X, Lawrence Berkeley National Laboratory (USA)

Output Data

Experiments: ssp370_2015soc-from-histsoc_default, ssp126_2015soc-from-histsoc_default, historical_histsoc_default, ssp585_2015soc-from-histsoc_default
Climate Drivers: GFDL-ESM4, IPSL-CM6A-LR, MPI-ESM1-2-HR, MRI-ESM2-0, UKESM1-0-LL
Date: 2024-09-12

Basic information

Model Version: v1.1

Model Output License: CC0

Reference Paper: Main Reference: Zhu Q, Riley W, Tang J, Collier N, Hoffman F, Yang X, Bisht G et al. Representing Nitrogen, Phosphorus, and Carbon Interactions in the E3SM Land Model: Development and Global Benchmarking. Journal of Advances in Modeling Earth Systems,11,2238-2258,2019

Resolution

Spatial aggregation: regular grid

Horizontal resolution: 0.5°x0.5°

Vertically resolved: Yes

Number of vertical layers: 15

Additional spatial aggregation & resolution information: N/A

Temporal resolution of input data: climate variables: 6 hourly

Temporal resolution of input data: co2: annual

Temporal resolution of input data: land use/land cover: annual

Temporal resolution of input data: soil: constant

Additional temporal resolution information: N/A

Input data

Simulated atmospheric climate data sets used: MRI-ESM2-0, IPSL-CM6A-LR, MPI-ESM1-2-HR, UKESM1-0-LL, GFDL-ESM4

Emissions data sets used: Atmospheric composition (ISIMIP3b)

Socio-economic data sets used: National historical Gross Domestic Product (GDP) (ISIMIP3b), National, gridded historical population (ISIMIP3b)

Other human influences data sets used: Nitrogen deposition (ISIMIP3), N-Fertilizer (ISIMIP3b)

Additional input data sets: N/A

Climate variables: hurs, sfcWind, tas, rsds, ps, pr

Additional information about input variables: N/A

Exceptions to Protocol

Exceptions: N/A

Spin-up

Was a spin-up performed?: Yes

Spin-up design: 400 years of acclerated spinup followed by 200 years of regular spinup

Natural Vegetation

Natural vegetation partition: 17 Plant functional types

Natural vegetation dynamics: big leaf model to simulate vegetation dynamics

Natural vegetation cover dataset: MODIS

Soil layers: 15 layers

Management & Adaptation Measures

Management: N/A

Extreme Events & Disturbances

Key challenges: consider disturbance by wildfires

Additional comments: N/A

Carbon-cycle benchmarking

Does your model reach a (near) steady state after spin up (characterized by nbp of < 0.2 pgc y-1)? (yes/no, provide number): Yes

What is your modeled nbp for the 1990-2000 decade? is it within 1.2 +/- 0.8 gtc/yr (1-sigma) of observed data from o2/n2 trends (keeling and manning 2014) for 1990-1999 (yes/no, provide number): Yes

Person responsible for model simulations in this simulation round

Qing Zhu: qzhu@lbl.gov, 0000-0003-2441-944X, Lawrence Berkeley National Laboratory (USA)

Output Data

Experiments: counterclim_histsoc_default, counterclim_histsoc_obsco2, obsclim_histsoc_1901co2, counterclim_1901soc_default, obsclim_1901soc_default, obsclim_histsoc_default, obsclim_histsoc_nofire
Climate Drivers: GSWP3-W5E5
Date: 2023-11-17

Resolution

Spatial aggregation: regular grid

Horizontal resolution: 0.5°x0.5°

Vertically resolved: Yes

Number of vertical layers: 15

Additional spatial aggregation & resolution information: N/A

Temporal resolution of input data: climate variables: 6 hourly

Temporal resolution of input data: co2: annual

Temporal resolution of input data: land use/land cover: annual

Temporal resolution of input data: soil: constant

Additional temporal resolution information: N/A

Input data

Observed atmospheric climate data sets used: GSWP3-W5E5 (ISIMIP3a)

Emissions data sets used: Atmospheric composition (ISIMIP3a)

Socio-economic data sets used: National historical Gross Domestic Product (GDP), National, gridded historical population

Other human influences data sets used: Nitrogen deposition (ISIMIP3), N-Fertilizer (ISIMIP3a)

Additional input data sets: N/A

Climate variables: hurs, sfcWind, tas, rsds, ps, pr

Additional information about input variables: N/A

Exceptions to Protocol

Exceptions: N/A

Spin-up

Was a spin-up performed?: Yes

Spin-up design: 400 years of acclerated spinup followed by 200 years of regular spinup

Natural Vegetation

Natural vegetation partition: 17 Plant functional types

Natural vegetation dynamics: big leaf model to simulate vegetation dynamics

Natural vegetation cover dataset: MODIS

Soil layers: 15 layers

Management & Adaptation Measures

Management: N/A

Extreme Events & Disturbances

Key challenges: consider disturbance by wildfires

Additional comments: N/A