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

Water vapor stable isotope memory effects of common tubing materials

10.4231/T6J3-H649

Alexandra Meyer ORCID logo , Lisa Welp-Smith ORCID logo

11/16/2023

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

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

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

Quantifying the impacts of wildfires on soil thermal, hydrological and carbon dynamics in northern Eurasia from 2003 to 2016

10.4231/ZJM7-A207

Qianlai Zhuang ORCID logo , Yiming Xu

05/02/2024

It contains simulation results of TEM in Eurasia during 2003-2016.

Carbon Dynamics EAPS Terrestrial Ecosystem Model (TEM) Wildfire

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)

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

Code for the severe convective storm (SCS) environmental sounding model described in Chavas and Dawson (2021, JAS).

10.4231/DP2D-YF95

Daniel Robert Chavas ORCID logo , Daniel Thomas Dawson

08/16/2022

Code to produce an idealized severe convective storm (SCS) environmental sounding as described in the paper Chavas and Dawson (2021, JAS).

Climate convection EAPS Environment idealized modeling numerical modeling severe convective storms severe thunderstorms severe weather sounding

Atmospheric emission of nanoplastics from sewer pipes repair

10.4231/XR71-ZM27

Alexander Laskin , Ana Morales ORCID logo , Andrew Whelton , Brandon Boor , Brian O'Callahan , Brianna Peterson , Christopher West , Felipe Rivera-Adorno , Jay Tomlin , John Howarter , Patrick El-Khoury , Ryan Moffet , Seyedeh Sendesi , Steven Sharpe , Swarup China , Yoorae Noh

08/12/2022

Common technology of sewer pipe repairs emits airborne nanoplastic particles at significant scale that may impact the environment and air quality in urban areas.

airborne particles Chemistry EAPS environmental nanoplastics urban emissions

Testing common tubing materials for memory effects during water vapor stable isotope measurements

10.4231/TTQ4-3G44

Alexandra Meyer ORCID logo , Lisa Welp-Smith ORCID logo

09/29/2022

A laboratory experiment testing the water vapor isotopic memory of a few common air intake tubing materials (PFA, FEP, PTFE, HDPE, and copper). e-folding times are quantified at 2 different temperatures.

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

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