Navid Jadidoleslam

Navid Jadidoleslam

University of Iowa

H-index: 8

North America-United States

About Navid Jadidoleslam

Navid Jadidoleslam, With an exceptional h-index of 8 and a recent h-index of 8 (since 2020), a distinguished researcher at University of Iowa, specializes in the field of Data Science, Statistical modeling, Remote Sensing.

His recent articles reflect a diverse array of research interests and contributions to the field:

Exploring the Potential of SMAP Soil Moisture for Improving Real-time Streamflow Prediction in the US

The hydrological hillslope-link model for space-time prediction of streamflow: Insights and applications at the Iowa Flood Center

Capturing Irrigation Quantities from Satellite-based Soil Moisture and Precipitation Observations

Conditional Probability Distribution of Soil Moisture Using Global Satellite-based Precipitation Measurements

Forecasting extreme weather events and associated impacts: case studies

Data assimilation of satellite-based soil moisture into a distributed hydrological model for streamflow predictions

Exploring the utility of satellite-based soil moisture in real-time flood forecasting

Quantifying Net Irrigation from SMAP Retrievals

Navid Jadidoleslam Information

University

Position

IIHR Hydroscience & Engineering - The

Citations(all)

209

Citations(since 2020)

179

Cited By

80

hIndex(all)

8

hIndex(since 2020)

8

i10Index(all)

6

i10Index(since 2020)

6

Email

University Profile Page

University of Iowa

Google Scholar

View Google Scholar Profile

Navid Jadidoleslam Skills & Research Interests

Data Science

Statistical modeling

Remote Sensing

Top articles of Navid Jadidoleslam

Title

Journal

Author(s)

Publication Date

Exploring the Potential of SMAP Soil Moisture for Improving Real-time Streamflow Prediction in the US

Authorea Preprints

Navid Jadidoleslam

Brian K Hornbuckle

Witold F Krajewski

Ricardo Mantilla

Michael H Cosh

2023/11/8

The hydrological hillslope-link model for space-time prediction of streamflow: Insights and applications at the Iowa Flood Center

Extreme weather forecasting

Ricardo Mantilla

Witold F Krajewski

Nicolas Velasquez

SJ Small

TB Ayalew

...

2022/8/11

Capturing Irrigation Quantities from Satellite-based Soil Moisture and Precipitation Observations

Frontiers in Hydrology 2022

Navid Jadidoleslam

Mehmet Evren Soylu

Rafael L Bras

2022/6

Conditional Probability Distribution of Soil Moisture Using Global Satellite-based Precipitation Measurements

Frontiers in Hydrology 2022

Navid Jadidoleslam

Mehmet Evren Soylu

Rafael L Bras

2022/6

Forecasting extreme weather events and associated impacts: case studies

Extreme Weather Forecasting

Martina Calovi

Weiming Hu

Laura Clemente

Guido Cervone

Forest Cannon

...

2022/8/11

Data assimilation of satellite-based soil moisture into a distributed hydrological model for streamflow predictions

Hydrology

Navid Jadidoleslam

Ricardo Mantilla

Witold F Krajewski

2021/3/20

Exploring the utility of satellite-based soil moisture in real-time flood forecasting

Navid Jadidoleslam

2021

Quantifying Net Irrigation from SMAP Retrievals

AGU Fall Meeting Abstracts

Mehmet Soylu

Navid Jadidoleslam

Rafael Bras

2021/12

Analyzing effects of crops on SMAP satellite-based soil moisture using a rainfall–runoff model in the US corn belt

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing

Navid Jadidoleslam

Brian K Hornbuckle

Witold F Krajewski

Ricardo Mantilla

Michael H Cosh

2021/11/26

Insights into storm direction effect on flood response

Journal of Hydrology

Ganesh R Ghimire

Navid Jadidoleslam

Radoslaw Goska

Witold F Krajewski

2021/7/17

Inference On Streamflow Predictability Using Horizontal Visibility Graph Based Networks

EGU General Assembly Conference Abstracts

Ganesh Ghimire

Navid Jadidoleslam

Witold Krajewski

Anastasios Tsonis

2020/5

Basin Rotation Method to Quantify the Effect of Rainstorm Movement on Flood Peak Response

AGU Fall Meeting Abstracts

G Ghimire

Navid Jadidoleslam

Radoslaw Goska

Witold F Krajewski

2020/12

Hydrovise: A non-proprietary open-source software for hydrologic model and data visualization and evaluation

Environmental Modelling & Software

Navid Jadidoleslam

Radoslaw Goska

Ricardo Mantilla

Witold F Krajewski

2020/12/1

Insights on streamflow predictability across scales using horizontal visibility graph based networks

Frontiers in water

Ganesh R Ghimire

Navid Jadidoleslam

Witold F Krajewski

Anastasios A Tsonis

2020/7/23

See List of Professors in Navid Jadidoleslam University(University of Iowa)