Sara Sadri

Sara Sadri

Princeton University

H-index: 11

North America-United States

About Sara Sadri

Sara Sadri, With an exceptional h-index of 11 and a recent h-index of 9 (since 2020), a distinguished researcher at Princeton University, specializes in the field of water, climate, food security, hydrology, statistics.

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

From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management

Set-stat-map: Extending parallel sets for visualizing mixed data

FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms

From Coarse Resolution to Realistic Resolution: GRACE as a Science Communication and Policymaking Tool for Sustainable Groundwater Management

SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US

Hyper-resolution land surface modeling enables hydrologically consistent 30-m SMAP-based soil moisture retrievals over continental scales

Water resources optimization and irrigation advisory based on farm-level remote sensing and crop water demand

A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP

Sara Sadri Information

University

Position

___

Citations(all)

875

Citations(since 2020)

536

Cited By

549

hIndex(all)

11

hIndex(since 2020)

9

i10Index(all)

11

i10Index(since 2020)

9

Email

University Profile Page

Google Scholar

Sara Sadri Skills & Research Interests

water

climate

food security

hydrology

statistics

Top articles of Sara Sadri

From coarse resolution to practical solution: GRACE as a science communication and policymaking tool for sustainable groundwater management

Journal of Hydrology

2023/8/1

Set-stat-map: Extending parallel sets for visualizing mixed data

2022/4/11

Debajyoti Mondal
Debajyoti Mondal

H-Index: 11

Sara Sadri
Sara Sadri

H-Index: 8

FarmCan: a physical, statistical, and machine learning model to forecast crop water deficit for farms

Hydrology and Earth System Sciences

2022/10/27

From Coarse Resolution to Realistic Resolution: GRACE as a Science Communication and Policymaking Tool for Sustainable Groundwater Management

EGU General Assembly Conference Abstracts

2022/5

SMAP-HydroBlocks, a 30-m satellite-based soil moisture dataset for the conterminous US

Scientific data

2021/10/11

Hyper-resolution land surface modeling enables hydrologically consistent 30-m SMAP-based soil moisture retrievals over continental scales

AGU Fall Meeting Abstracts

2020/12

Water resources optimization and irrigation advisory based on farm-level remote sensing and crop water demand

AGU Fall Meeting Abstracts

2020/12

A global near-real-time soil moisture index monitor for food security using integrated SMOS and SMAP

Remote Sensing of Environment

2020/9/1

See List of Professors in Sara Sadri University(Princeton University)

Co-Authors

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