Datasets

subject: EAPS date: 2022

Total is 23 Results
Groundwater chemistry within Arequipa, Peru in the Characato, Chiguata, and Lagunas Salinas study areas

10.4231/PJRM-Q992

Elizabeth Olson , Lisa R. Welp ORCID logo , Marty D. Frisbee ORCID logo , Odiney Alvarez Campos

01/14/2022

We identified recharge zones and groundwater flowpaths supporting springs near Arequipa, Peru using general chemistry and isotopic tracers (δ18O, δ2H, and 3H) in springs, surface waters, and precipitation sampled from March 2019 through February...

Andes Arequipa Arequipa Nexus Institute Chemistry EAPS Groundwater Peru recharge salar stable isotopes

Stormslam survey results

10.4231/ZVCB-PM81

Loran Carleton Parker , Robin Lynn Tanamachi ORCID logo

01/05/2022

De-identified results of pre- and post-course surveys given to students in EAPS 13800 (Spring 2021) who used the online game Stormslam for engagement.

EAPS Meteorology Teaching and learning

A model intercomparison analysis for controls on C accumulation in North American peatlands

10.4231/982H-T007

Bailu Zhao ORCID logo , Claire Treat , Qianlai Zhuang ORCID logo , Steve Frolking ORCID logo

02/23/2022

This dataset contains the Peatland Terrestrial Ecosystem Model and Holocene Peatland Model simulation results for three peatland sites, all in text files. Three sites include: Mariana fen , Bear bog and Innoko bog.

EAPS Holocene Peatland Carbon HPM P-TEM RCP scenarios

Bias in CMIP6 historical U.S. severe convective environments driven by bias in mean-state near-surface moist static energy

10.4231/42ZJ-A891

Daniel Robert Chavas ORCID logo , Funing Li ORCID logo

03/08/2022

This database provides data (in NetCDF format) for reproducing figures in the manuscript of Chavas&Li (2022).

climate modeling EAPS Earth and Atmospheric Sciences severe convective storms thunderstorm

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

Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene

10.4231/6647-C769

Bailu Zhao ORCID logo , Qianlai Zhuang ORCID logo , Steve Frolking ORCID logo

05/26/2022

This dataset is used to reproduce the results in Modeling carbon accumulation and greenhouse gas emissions of northern peatlands since the Holocene. The dataset includes simulated pan-Arctic peat thickness, soil C stock and historical permafrost...

basal date EAPS Holocene P-TEM pan-Arctic peatland Permafrost

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