10.4231/5XRA-JZ80
A K Das , Dev S. Niyogi , H P Nayak , Krishna K Osuri , Kumar Ankur , Raghavendra Raju Nadimpalli , 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
10.4231/RNA2-WJ54
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
10.4231/8246-C724
Huaxia Yao , L. Ruby Leung , Malgorzata Golub , Mingyang Guo , Qianlai Zhuang , 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
10.4231/R7PR7T75
Ashley Dicks , Brent Helliker , Erol Akçay , Haoran Zhou , Matthew Huber
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
10.4231/1MZN-1C18
Brian H. Stirm , Kristian Hajny , Lisa R. Welp , 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
10.4231/JGZ8-9C75
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
10.4231/ANMV-J384
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)
10.4231/Q3R8-SZ17
Bo Elberling , David Medvigy , Edward J. Dlugokencky , Gustaf Hugelius , Licheng Liu , Lisa R. Welp-Smith , Lori Bruhwiler , Ludovica D'Imperio , Maggie C.Y. Lau , Qianlai Zhuang , Tullis C. Onstott , Youmi Oh
02/04/2020
This publication contains code and data of a biogeochemistry model, XPTEM-XHAM, for paper "Reduced net methane emissions due to microbial methane oxidation in a warmer Arctic" by Oh et al. accepted in Nature Climate Change.
Arctic Region Biogeochemistry EAPS Earth and Atmospheric Sciences Methane Dynamics Model (MDM) Methane Emission Microbial-Based Model soil
10.4231/R79C6VMX
Bryan Howl , Caleb Fassett , David Minton , James Richardson , Masatoshi Hirabayashi
12/22/2017
Data to reproduce figures and movies for the paper "Topographic degradation by impact cratering on airless bodies is dominated by diffusive erosion from distal ejecta."
10.4231/R7DR2SP6
Andrew Hesselbrock , David Minton
05/01/2018
Coupled ring-satellite systems fall into three distinct dynamical regimes, “Boomerang,” “Non-Boomerang,” and “Torque-Dependent.” This publication includes data to reproduce figures as well as the version of RING-MOONS used to produce all data.
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