Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations-Reference-Cited by-同舟云学术

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Landscape Water Storage and Subsurface Correlation From Satellite Surface Soil Moisture and Precipitation Observations

Published:2019-11 Issue:11 Volume:55 Page:9111-9132
ISSN:0043-1397
Container-title:Water Resources Research
language:en
Short-container-title:Water Resour. Res.

Author:

Short Gianotti Daniel J.¹^ORCID,Salvucci Guido D.²^ORCID,Akbar Ruzbeh¹^ORCID,McColl Kaighin A.³⁴^ORCID,Cuenca Richard⁵,Entekhabi Dara¹^ORCID

Affiliation:

1. Parsons Laboratory Massachusetts Institute of Technology Cambridge MA USA

2. Department of Earth and Environment Boston University Boston MA USA

3. Department of Earth and Planetary Sciences Harvard University Cambridge MA USA

4. John A. Paulson School of Engineering and Applied Sciences Harvard University Cambridge MA USA

5. Department of Biological and Ecological Engineering Oregon State University Corvallis OR USA

Funder

National Aeronautics and Space Administration

Publisher

American Geophysical Union (AGU)

Subject

Water Science and Technology

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1029/2019WR025332

Reference72 articles.

1. Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation

2. Mapped Hydroclimatology of Evapotranspiration and Drainage Runoff Using SMAP Brightness Temperature Observations and Precipitation Information

3. Hydrological Storage Length Scales Represented by Remote Sensing Estimates of Soil Moisture and Precipitation

4. From near-surface to root-zone soil moisture using an exponential filter: an assessment of the method based on in-situ observations and model simulations

5. Monitoring and Forecasting the Impact of the 2018 Summer Heatwave on Vegetation

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2. Global Optimization of Soil Texture Maps From Satellite‐Observed Soil Moisture Drydowns and Its Implementation in Noah‐MP Land Surface Model;Journal of Advances in Modeling Earth Systems;2024-06

3. Soil Moisture Memory: State‐Of‐The‐Art and the Way Forward;Reviews of Geophysics;2024-05-22

4. A novel land surface temperature reconstruction method and its application for downscaling surface soil moisture with machine learning;Journal of Hydrology;2024-05

5. Soil moisture profile estimation by combining P-band SAR polarimetry with hydrological and multi-layer scattering models;Remote Sensing of Environment;2024-05

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