Datasets

subject: EAPS type: dataset

Total is 64 Results
West African Heat Low Climatology and Comparison with Dry Tropical Cyclones

10.4231/MGM4-7W91

Aaron Paul Kruskie ORCID logo , Daniel Robert Chavas ORCID logo

10/31/2024

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.

Climatology EAPS sensible heat flux tropical cyclone West Africa

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)

Improved Simulation of Monsoon Depressions and Heavy Rains from Direct and Indirect Initialization of Soil Moisture over India

10.4231/5XRA-JZ80

A K Das , Dev S. Niyogi , H P Nayak , Krishna K Osuri , Kumar Ankur , Raghavendra Raju Nadimpalli ORCID logo , U C Mohanty

06/22/2020

Each file contains various meteorological fields such as air temperature, rainfall, moisture, rainfall, and surface fields (soil moisture and soil temperature).

ARW model EAPS FASDAS HRLDAS Monsoon Depressions soil moisture simulation Soil Temperature

Wabash River Baseflow Dataset 2015

10.4231/RNA2-WJ54

Marty D Frisbee ORCID logo

07/20/2020

This dataset contains the geochemical and isotopic data from the 2015 baseflow sampling campaign in the Wabash River watershed.

aqueous geochemistry baseflow chlorine-36 EAPS Groundwater stable isotopes strontium isotopes Watershed

Data for Intercomparison of thermal regime algorithms in 1-D lake models

10.4231/8246-C724

Huaxia Yao , L. Ruby Leung , Malgorzata Golub , Mingyang Guo ORCID logo , Qianlai Zhuang ORCID logo , Zeli Tan

09/08/2020

This dataset includes the model intercomparison results using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.

EAPS global lake thermal dynamics lake model model intercomparison

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