Datasets

subject: EAPS

Total is 63 Results
Water vapor stable isotope memory effects of common tubing materials

10.4231/Y13T-6775

Alexandra Meyer ORCID logo , Lisa Welp-Smith ORCID logo

06/27/2024

A laboratory experiment testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper, plus Dekabon and Bev-A-Line XX). Memory metrics for common materials are quantified at 2 different temperatures.

carryover deuterium excess EAPS isotopic Los Gatos memory effect water isotopes Water Vapor

A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

10.4231/NR0B-EJ07

Qianlai Zhuang ORCID logo , Xinyu Liu , Xuan Xi ORCID logo

05/24/2024

This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.

EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)

West African Heat Low Climatology and Comparison with Dry Tropical Cyclones

10.4231/GMQS-DJ89

Aaron Paul Kruskie ORCID logo , Daniel Robert Chavas ORCID logo

07/29/2024

This repository contains the data files and scripts required to recreate the figures for Kruskie et al. 2024 (in review), which examines the climatology of heat lows in West Africa and their relationship to tropical cyclones using potential...

Climatology EAPS sensible heat flux tropical cyclone West Africa

A Hybrid Physics-Guided Deep Learning Modeling Framework for Predicting Surface Soil Moisture

10.4231/SBB0-V865

Qianlai Zhuang ORCID logo , Xinyu Liu , Xuan Xi ORCID logo

08/21/2024

This dataset contains the main materials for predicting site-level surface soil moisture based on a developed hybrid physics-guided deep learning modeling framework.

EAPS Long short-term memory (LSTM) Physics-Guided Deep Learning Soil Moisture Terrestrial Ecosystem Model (TEM)

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

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