Datasets

Subject
Creator
Type
Date

subject: EAPS subject: Climate Change

Total is 7 Results
Rising methane emissions from boreal lakes due to increasing ice-free days

10.4231/FYFN-1Z68

Mingyang Guo ORCID logo , Narasinha Shurpali , Pertti Martikainen , Pirkko Kortelainen , Qianlai Zhuang ORCID logo , Sari Juutinen , Zeli Tan

03/30/2020

This publication includes model output of a lake biogeochemistry model ALBM, and data analysis codes which were used for paper 'Rising methane emissions from boreal lakes due to increasing ice-free days' by Guo et al. in Environmental Research...

Boreal lake Climate Change EAPS Methane Emission

Biases in U.S. severe convective storm environmentsdriven by biases in mean state near-surface moist static energy across CMIP6 models

10.4231/9647-TV41

Daniel Robert Chavas ORCID logo , Funing Li ORCID logo

11/23/2022

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

Climate Change climate models CMIP6 EAPS extreme weather severe thunderstorm environments severe thunderstorms tornadoes

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

10.4231/WMMS-XY76

Daniel Robert Chavas ORCID logo

05/06/2022

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

Climate Change EAPS Flood Damage Hurricanes Modeling Risk Analysis tropical cyclones

Code for tropical cyclone wind profile model of Chavas et al (2015, JAS)

10.4231/CZ4P-D448

Daniel Robert Chavas ORCID logo

06/06/2022

This code will output a tropical cyclone near-surface wind profile as defined in Chavas et al (2015, JAS); MATLAB or python version

Climate Change damage EAPS hazard Hurricanes impact Risk assessment tropical cyclone wind field wind profile

Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

10.4231/ANMV-J384

Junrong Zha , Qianlai Zhuang ORCID logo

07/25/2019

Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).

Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)

Photos and videos documenting spring emergences and sampling locations in and around Mount Hood National Forest and Glacier National Park

10.4231/1R4N-RP33

Jordyn Beth Miller ORCID logo

02/26/2021

This dataset contains photos and videos documenting sampling locations in and around Mount Hood National Forest and Glacier National Park.

alpine Climate Change EAPS glacier Glacier National Park glaciers Mount Hood National Forest springs

C4 photosynthesis and climate through the lens of optimality

10.4231/R7PR7T75

Ashley Dicks , Brent Helliker , Erol Akçay , Haoran Zhou ORCID logo , Matthew Huber ORCID logo

10/30/2018

Post-processed climate model output and associated source code for "C4 photosynthesis and climate through the lens of optimality"

c4 Climate Change EAPS Earth and Atmospheric Sciences Evolution Huber Miocene Paleoclimate Plants

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