Subject
Creator
- Qianlai Zhuang, 0000-0002-4536-9851 7
- Daniel Robert Chavas, 0000-0001-9172-8328 6
- Bailu Zhao, 0000-0002-1326-4801 4
- Steve Frolking, 0000-0001-6414-5004 3
- Douglas R Schmitt, 0000-0001-6920-0658 2
- Elizabeth Olson 2
- Funing Li, 0000-0001-9634-370X 2
- Wenjing Wang 2
- Adriana Larrea Valdivia 1
- Alexander Laskin 1
Type
- Dataset 23
Date
- 2022 23
Total is 23 Results
Methane emissions from Arctic landscapes during 2000-2015: An analysis with land and lake biogeochemistry models
10.4231/SJC1-9F83
11/15/2022
This data contains the processed model output of methane emission from the ALBM and TEM-MDM models.
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
Stormslam survey results
10.4231/ZVCB-PM81
Loran Carleton Parker
,
Robin Lynn Tanamachi
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.
A model intercomparison analysis for controls on C accumulation in North American peatlands
10.4231/982H-T007
Bailu Zhao
,
Claire Treat
,
Qianlai Zhuang
,
Steve Frolking
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.
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
,
Funing Li
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
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
,
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
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
Tropical cyclone size is strongly limited by the Rhines scale: experiments with a barotropic model
10.4231/CVXJ-AZ94
07/18/2022
Scripts and data we used to generate all figures in Lu and Chavas 2022
barotropic EAPS planetary Rossby waves Rhines scale Rossby waves tropical cyclone tropical cyclone size Vortex Rhines scale
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
Display #
Results 1 - 10 of 23