Datasets

subject: Hydrology type: dataset

Total is 55 Results
Data for Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins

10.4231/0PG5-KC30

Pin-ching Li , Sayan Dey ORCID logo , Venkatesh Mohan Merwade ORCID logo

01/23/2023

This resource contains the data used in the study "Analyzing the Effect of Data Splitting and Covariate Shift on Machine Leaning Based Streamflow Prediction in Ungauged Basins" published in Water Resources Research (doi: 10.1029/2023WR034464)

Artificial Neural Network (ANN) covariate shift Hydrology Machine Learning prediction in ungauged basin Random Forest streamflow prediction

Monitored soil moisture and temperature in Indiana crop rotated field

10.4231/7NSM-JJ67

Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo , Stuart D Smith

12/18/2019

Soil moisture and temperature data were collected at five different depths from October 2017 to September 2019 in a crop rotated field.

Agricultural and Biological Engineering Agriculture Environment Hydrology Indiana Soil Moisture Soil Temperature Time Series Climate Data

Quantifying Dissolved Organic Carbon Dynamics Using a Three-Dimensional Terrestrial Ecosystem Model at High Spatial-Temporal Resolutions

10.4231/7YY6-HQ02

Chang Liao ORCID logo , Laodong Guo , Qianlai Zhuang ORCID logo , Ruby Leung

12/02/2019

Arctic ecosystems are very sensitive to the global climate change. This study provides a modeling framework to adequately quantify the Arctic land ecosystem carbon budget by considering the lateral transport of carbon affected by permafrost...

Alaska Arctic Region Biogeochemistry C Carbon Cycle Climate Change Earth and Atmospheric Sciences ECO3D Ecosystem Hydrology LSM Permafrost TEM

Estimated land cover properties for hydrologic modeling in Arequipa, Peru

10.4231/GYN8-W684

Fariborz Daneshvar , Jane R Frankenberger ORCID logo , Johann Alexander Vera Mercado , Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo

12/03/2020

This dataset provides spatially-distributed land cover properties required for SWAT hydrologic modeling in the Arequipa Department of Peru. Developed methodology for estimation of land cover properties is also provided.

Agricultural and Biological Engineering ArcGIS Arequipa Arequipa Nexus Institute Crops Geographic Information Systems (GIS) grassland Hydrologic Modeling Hydrology Peru SWAT model UNSA Watershed

Estimated soil physical properties for hydrologic modeling in Arequipa, Peru

10.4231/N5MX-9W30

Fariborz Daneshvar , Jane R Frankenberger ORCID logo , Keith A Cherkauer ORCID logo , Laura C Bowling ORCID logo , Martín Juan C. Villalta Soto

10/30/2020

This dataset provides spatially-distributed soil physical properties required for SWAT hydrologic modeling in the Arequipa Department of Peru, based on regional soil maps and available soil profiles. Developed methodology is also provided.

Agricultural and Biological Engineering ArcGIS Arequipa Arequipa Nexus Institute Digital Soil Mapping Geographic Information Systems (GIS) Hydrologic Modeling Hydrology Peru soil SWAT model UNSA Watershed

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