Datasets

subject: EAPS type: dataset

Total is 64 Results
Methane emissions from land and aquatic ecosystems in Western Siberia: An analysis with methane biogeochemistry models

10.4231/80RV-X686

Qianlai Zhuang ORCID logo , Seungbum Kim , Xuan Xi , Zhen Zhang

02/27/2023

This dataset contains the main codes and data for the methane emissions quantification from land and aquatic ecosystems in Western Siberia based on biogeochemical methane models.

ALBM EAPS Matlab Methane Emission TEM-MDM

Weakening cooling effect of northern peatlands on the global climate system during the 21st century

10.4231/BB7M-HN65

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo

03/30/2023

This dataset contains the code, run directory and outputs for Peatland Terrestrial Ecosystem Model v 2.3.

2100 C budget climate modeling EAPS Holocene N dynamcis northern peatlands

Code and Model results for Soil organic carbon is a key determinant of CH4 sink in global forest soils

10.4231/8K7W-NF84

Hojeong Kang , Jaehyun Lee ORCID logo , Qianlai Zhuang ORCID logo , Youmi Oh ORCID logo

05/09/2023

This dataset contains code and model results for the paper 'Soil organic carbon is a key determinant of CH4 sink in global forest soils' by Lee et al. (2023).

Biogeochemistry EAPS global forest soils Methane Dynamics Model (MDM) soil methane oxidation

A model intercomparison analysis for controls on C accumulation in North American peatlands

10.4231/982H-T007

Bailu Zhao ORCID logo , Claire Treat , Qianlai Zhuang ORCID logo , Steve Frolking ORCID logo

02/23/2022

This dataset contains the Peatland Terrestrial Ecosystem Model and Holocene Peatland Model simulation results for three peatland sites, all in text files. Three sites include: Mariana fen , Bear bog and Innoko bog.

EAPS Holocene Peatland Carbon HPM P-TEM RCP scenarios

Bias in CMIP6 historical U.S. severe convective environments driven by bias in mean-state near-surface moist static energy

10.4231/42ZJ-A891

Daniel Robert Chavas ORCID logo , Funing Li ORCID logo

03/08/2022

This database provides data (in NetCDF format) for reproducing figures in the manuscript of Chavas&Li (2022).

climate modeling EAPS Earth and Atmospheric Sciences severe convective storms thunderstorm

Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)

10.4231/3FQ4-1E11

Daniel Robert Chavas ORCID logo

04/15/2022

Simple MATLAB code to predict Rmax from R34kt as explained in Chavas and Knaff (2022) Eq. 2-4 + Eq 7.

climate impacts damages EAPS Hurricanes Risk Analysis Risk assessment Weather

Evaluating the effects of precipitation and evapotranspiration on soil moisture variability

10.4231/WHJ3-KN14

Pierre Gentine , Qianlai Zhuang ORCID logo , Seungbum Kim , Xuan Xi

04/22/2022

This dataset includes the comparison results of models from the Coupled Model Intercomparison Project Phase 5 (CMIP5) with Soil Moisture Active Passive (SMAP) and ECMWF Reanalysis v5 (ERA5) products and the corresponding codes for analysis.

CMIP5 EAPS Fourier Analysis Matlab software SMAP Soil Moisture

Lunar Hydration at the South Pole observed by Deep Impact

10.4231/T3B9-QK78

Kris Laferriere ORCID logo

05/05/2022

Files used for calibration and analysis of hydration feature as observed by Deep Impact during the 2009 lunar flyby of the south pole

EAPS hydration hydroxyl Lunar Water

SST profiles and CESM2 model builds for "Westward extension of the Western North Pacific subtropical high forced by sea surface temperature anomaly patterns"

10.4231/R2HS-B771

Daniel Robert Chavas ORCID logo , Jhordanne Jones ORCID logo , Zachary Freitag Johnson ORCID logo

01/25/2023

Archived model builds and original sea surface temperature (SST) forcing files for simulations used in the manuscript, "Westward extension of the Western North Pacific subtropical high forced by sea surface temperature anomaly patterns".

CAM6 CESM2 Climate Variability EAPS ERA5 Global Climate Models Reanalysis Simulations Subtropical Highs

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