Datasets

subject: EAPS date: 2022

Total is 23 Results
Stormslam survey results

10.4231/ZVCB-PM81

Loran Carleton Parker , Robin Lynn Tanamachi ORCID logo

01/05/2022

De-identified results of pre- and post-course surveys given to students in EAPS 13800 (Spring 2021) who used the online game Stormslam for engagement.

EAPS Meteorology Teaching and learning

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

BreakOut Automatic Picking From Image Logs (BOAPFIL)

10.4231/Q677-QE32

Douglas R Schmitt ORCID logo , Wenjing Wang

09/06/2022

A Matlab-based algorithm that picks breakout azimuth and width from ultrasonic image logs automatically

breakout EAPS ultrasonic image log wellbore stability analysis

Peatlands and their carbon dynamics in northern high latitudes from 1990 to 2300: A process-based biogeochemistry model analysis

10.4231/QP7V-V527

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo

09/20/2022

This study simulates the C dynamics of northern peatlands during1990-2300. Before 2100, northern peatlands are a C source under all climate scenarios except for the mildest one. Afterwards, northern peatlands under all scenarios are C sources.

C source EAPS future response northern peatlands P-TEM

Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene

10.4231/FV42-TZ12

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

10/24/2022

This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost...

EAPS Holocence norhtern peatlands P-TEM Permafrost Python Code

The importance of interactions between snow, permafrost and vegetation dynamics in terrestrial carbon balance in circumpolar regions

10.4231/E1AD-DB33

Qianlai Zhuang ORCID logo , Yiming Xu

10/04/2022

This data contains model output of net primary production (NPP), heterotrophic respiration (RH), foliage projection cover (FPC) and soil temperature.

Carbon EAPS Permafrost Vegetation

Methane emissions from Arctic landscapes during 2000-2015: An analysis with land and lake biogeochemistry models

10.4231/SJC1-9F83

Qianlai Zhuang ORCID logo , Xiangyu Liu ORCID logo

11/15/2022

This data contains the processed model output of methane emission from the ALBM and TEM-MDM models.

ALBM EAPS lake Methane Emission TEM-MDM wetlands

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

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