Datasets

Subject
Creator
Type
Date

subject: EAPS date: 2022

Total is 23 Results
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

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

BreakOut Automatic Picking From Image Logs (BOAPFIL)

10.4231/RTAW-JW77

Douglas R Schmitt ORCID logo , Wenjing Wang

06/06/2022

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

breakout EAPS stress characterization ultrasonic image log wellbore stability analysis

The Impact of Erosion on Exhumation and Structural Configuration in Mountain Belts: Insights From Image Velocimetry Analysis of Coulomb Wedge Models

10.4231/9RED-KM75

Phiala Thouvenin ORCID logo

11/09/2022

Python scripts and video versions of figures from the dissertation "The Impact of Erosion on Exhumation and Structural Configuration in Mountain Belts: Insights From Image Velocimetry Analysis of Coulomb Wedge Models" by Phiala Thouvenin

EAPS Erosion exhumation geophysics particle image velocimetry particle tracking structural geology

Rain stable water isotope data from the city of Arequipa, Peru during 2019 wet season

10.4231/HTSF-GK66

Adriana Larrea Valdivia , Efraín Palma Arhuir , Elizabeth Olson , Greg Michalski , Jonathan DeGraw , Juan Reyes Larico , Lino Morales Paredes , Lisa Welp ORCID logo

08/09/2022

We analyzed daily rainfall in the southern Peruvian city of Arequipa for water stable isotopes during the 2019 monsoon season to study sub-seasonal precipitation dynamics including time-varying moisture source influence.

Andes EAPS flooding hydrogen isotopes moisture source orographic oxygen isotopes Precipitation South American Summer Monsoon stable isotopes western cordillera

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