Datasets

Subject
Creator
Type
Date

subject: EAPS type: dataset

Total is 57 Results
Global CO Dynamics Model Output during 1901-2100

10.4231/XK25-7981

Licheng Liu, 0000-0002-9649-1056, Qianlai Zhuang, 0000-0002-4536-9851

06/10/2020

Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.

Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences

Data for Validation and Sensitivity Analysis of a 1-D Lake Model across Global Lakes

10.4231/NPYJ-GE58

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

06/18/2020

This dataset includes the calibration and sensitivity test results of 58 lakes globally using the Arctic Lake Biogeochemistry Model (ALBM) and codes for analysis.

EAPS global lake thermal dynamics lake model sensitivity test

Modeling Holocene Peatland Soil Carbon Accumulation in North America

10.4231/8GEV-2P56

Bailu Zhao, 0000-0002-1326-4801, Catherine Prigent, Filipe Aires, Jason K. Keller, Qianlai Zhuang, 0000-0002-4536-9851, Scott Bridgham, Sirui Wang, Zicheng Yu

06/18/2020

This dataset include the necessary data and codes to reproduce the figures used in the paper.

EAPS Holocene North America P-TEM peatland soil carbon

North American boreal forests are a large carbon source due to wildfires from 1986 to 2016

10.4231/TSK3-1733

Bailu Zhao, 0000-0002-1326-4801, Jukka Pumpanen, Narasinha Shurpali, Qianlai Zhuang, 0000-0002-4536-9851

06/18/2020

The bundle contains the codes and data used to generate the figures in the paper.

boreal fires burn severity carbon loss EAPS North America 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, 0000-0001-7769-3165, 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, 0000-0002-9928-7149

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

C4 photosynthesis and climate through the lens of optimality

10.4231/R7PR7T75

Ashley Dicks, Brent Helliker, Erol Akçay, Haoran Zhou, 0000-0002-5852-9535, Matthew Huber, 0000-0002-2771-9977

10/30/2018

Post-processed climate model output and associated source code for "C4 photosynthesis and climate through the lens of optimality"

c4 Climate Change EAPS Earth and Atmospheric Sciences Evolution Huber Miocene Paleoclimate Plants

Vertical profile observations of water vapor deuterium excess in the lower troposphere

10.4231/1MZN-1C18

Brian H. Stirm, Kristian Hajny, Lisa R. Welp, 0000-0001-7125-0478, Michael E. Baldwin, Olivia E. Salmon, Paul B. Shepson

08/15/2019

Airborne vertical profile measurements of water vapor stable isotopes to examine how boundary layer, cloud, and mixing processes influence the vertical structure of deuterium-excess in the lower troposphere.

Climate EAPS Earth and Atmospheric Sciences Flight Cruise Indianapolis Isotope Meteorology Washington Water Vapor Weather

Global CO Dynamics Model Output during 1901-2100

10.4231/JGZ8-9C75

Licheng Liu, 0000-0002-9649-1056, Qianlai Zhuang, 0000-0002-4536-9851

07/05/2019

Global soil CO fluxes during 1901-2013, 2000-2013 and 2014-2100 from model simulations. Together with published paper, figures and tables.

Atmospheric Chemistry Modeling Biogeochemistry Carbon Monoxide Climate Climate Dynamics EAPS Earth and Atmospheric Sciences

Microbial decomposition processes and vulnerable arctic soil organic carbon in the 21st century

10.4231/ANMV-J384

Junrong Zha, Qianlai Zhuang, 0000-0002-4536-9851

07/25/2019

Various levels of representations of biogeochemical processes in current biogeochemistry models contribute to uncertainty in carbon budget quantification. Detailed microbial mechanisms were incorporated into TEM 5.0 (Terrestrial Ecosystem Model).

Arctic Region Biogeochemistry Carbon Dynamics Climate Change EAPS Earth and Atmospheric Sciences Microbial-Based Model Terrestrial Ecosystem Model (TEM)

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