Datasets

Subject
Creator
Type
Date

subject: EAPS

Total is 63 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

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

Tropical cyclone size is strongly limited by the Rhines scale: experiments with a barotropic model

10.4231/CVXJ-AZ94

Daniel Chavas , Kuan-Yu Lu ORCID logo

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

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

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

10.4231/6647-C769

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

05/26/2022

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...

basal date EAPS Holocene P-TEM pan-Arctic peatland Permafrost

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

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