Subject
Creator
- Songlin Fei, 0000-0003-2772-0166 6
- Tonya Haigh 6
- Amber Mase 5
- Cody Knutson 5
- Linda S. Prokopy, 0000-0001-7076-0046 5
- Melissa J. Widhalm, 0000-0002-6099-4006 5
- Daniel Robert Chavas, 0000-0001-9172-8328 4
- Lois Morton 4
- Qianlai Zhuang, 0000-0002-4536-9851 4
- Sarah Church 4
Type
- Dataset 38
Date
Total is 38 Results
Data for Permafrost Degradation Diminishes Terrestrial Ecosystem Carbon Sequestration Capacity on the Qinghai-Tibetan Plateau
10.4231/03FM-XN05
Dan Kou
,
Dongsheng Zhao
,
Du Zheng
,
Lei Liu
,
Qianlai Zhuang
,
Yuanhe Yang
09/17/2021
Dataset about the effects of permafrost degradation on C and N cycling on the Qinghai-Tibetan Plateau in the 21st century
Carbon Sequestration Climate Change Earth and Atmospheric Sciences Matlab Nitrogen Availability Permafrost degradation Qinghai-Tibetan Plateau
Code and Data from Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America
10.4231/EGDX-Q577
Daniel K. Rucinski
,
Leah Zoe Almeida
,
Tim Sesterhenn
,
Tomas Höök
01/25/2022
Metadata, model code, and output data for the study "Nutrient loading effects on fish habitat quality: Trade-offs between enhanced production and hypoxia in Lake Erie, North America".
bioenergetics Climate Change eutrophication Forestry and Natural Resources growth rate potential model Lake Erie
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
,
Funing Li
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
Introduction histories and climatic distribution patterns of three congeneric invasive anurans
10.4231/EQP0-AT15
Andrew Joseph Mularo
,
Jackson Kirkwood
,
Jong Yoon Jeon
,
Ximena E Bernal
03/12/2025
Here, we synthesize occurrence records of three congeneric invasive anurans to determine common climatic patterns associated with their establishment into new regions
Climate Change Invasive species Eleutherodactylus niche modeling range expansion
Data for Chavas Camargo Tippett 2025 JC tropical cyclone ventilated genesis potential index
10.4231/7N7B-2494
03/11/2025
Data files for the figures in Chavas Camargo Tippett (2025, JC). Chavas, D.R., Camargo, S.J. and Tippett, M.K., 2025. Tropical cyclone genesis potential using a ventilated potential intensity. Journal of Climate. https://doi.org/10.11
Climate Change Global Climate Models Hurricanes Risk Analysis tropical cyclone
Code file for Rmax prediction model and relevant data used in the analyses (Chavas and Knaff 2022, Weather and Forecasting)
10.4231/WMMS-XY76
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
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
The enigma of Oligocene climate and global surface temperature evolution
10.4231/SFX6-RZ18
Charlotte O'Brien
,
Ellen Thomas
,
James Super
,
Leanne Elder
,
Mark Pagani
,
Matthew Huber
,
Pincelli Hull
09/04/2020
This is supporting material for "The enigma of Oligocene climate and global surface temperature evolution" published in PNAS in 2020 by O'Brien et al.
Climate Change climate modeling Earth and Atmospheric Sciences ice volume organic biomarkers oxygen isotopes Paleoclimate Sea level rise
Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century
10.4231/ANMV-J384
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)
Modeling the Sea Level Changes in Guam
10.4231/0A0F-7A84
10/14/2019
This project works on understanding the different statistical models that are available to analyze and predict mean sea level changes in Guam.
Climate Change Data Education Earth and Atmospheric Sciences FAIR Data Machine Learning Sea level rise Statistical analysis Statistical Methods
Display #
Results 11 - 20 of 38