Improving Spatial Patterns Prior to Land Surface Data Assimilation via Model Calibration Using SMAP Surface Soil Moisture Data
Published 2020 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Improving Spatial Patterns Prior to Land Surface Data Assimilation via Model Calibration Using SMAP Surface Soil Moisture Data
Authors
Keywords
-
Journal
WATER RESOURCES RESEARCH
Volume 56, Issue 10, Pages -
Publisher
American Geophysical Union (AGU)
Online
2020-09-19
DOI
10.1029/2020wr027770
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Comparison of microwave remote sensing and land surface modeling for surface soil moisture climatology estimation
- (2020) Jianzhi Dong et al. REMOTE SENSING OF ENVIRONMENT
- A Monte Carlo based adaptive Kalman filtering framework for soil moisture data assimilation
- (2019) Alexander Gruber et al. REMOTE SENSING OF ENVIRONMENT
- Perturbations in the initial soil moisture conditions: Impacts on hydrologic simulation in a large river basin
- (2018) Sundar Niroula et al. JOURNAL OF HYDROLOGY
- Hydrologic model calibration using remotely sensed soil moisture and discharge measurements: The impact on predictions at gauged and ungauged locations
- (2018) Yuan Li et al. JOURNAL OF HYDROLOGY
- An assessment of the differences between spatial resolution and grid size for the SMAP enhanced soil moisture product over homogeneous sites
- (2018) A. Colliander et al. REMOTE SENSING OF ENVIRONMENT
- The Efficiency of Data Assimilation
- (2018) Grey Nearing et al. WATER RESOURCES RESEARCH
- The added value of assimilating remotely sensed soil moisture for estimating summertime soil moisture - air temperature coupling strength
- (2018) Jianzhi Dong et al. WATER RESOURCES RESEARCH
- Hydrologic Evaluation of Multi-Source Satellite Precipitation Products for the Upper Huaihe River Basin, China
- (2018) Zhiyong Wu et al. Remote Sensing
- An advanced error correction methodology for merging in-situ observed and model-based soil moisture
- (2018) Zhiyong Wu et al. JOURNAL OF HYDROLOGY
- A Framework for Diagnosing Factors Degrading the Streamflow Performance of a Soil Moisture Data Assimilation System
- (2018) Yixin Mao et al. JOURNAL OF HYDROMETEOROLOGY
- Global Investigation of Soil Moisture and Latent Heat Flux Coupling Strength
- (2018) Fangni Lei et al. WATER RESOURCES RESEARCH
- Irrigation Signals Detected From SMAP Soil Moisture Retrievals
- (2017) Patricia M. Lawston et al. GEOPHYSICAL RESEARCH LETTERS
- The value of remotely sensed surface soil moisture for model calibration using SWAT
- (2017) Dipangkar Kundu et al. HYDROLOGICAL PROCESSES
- Validation of SMAP surface soil moisture products with core validation sites
- (2017) A. Colliander et al. REMOTE SENSING OF ENVIRONMENT
- Preliminary Evaluation of the SMAP Radiometer Soil Moisture Product over China Using In Situ Data
- (2017) Yayong Sun et al. Remote Sensing
- Land surface model calibration through microwave data assimilation for improving soil moisture simulations
- (2016) Kun Yang et al. JOURNAL OF HYDROLOGY
- Multi-objective calibration of a hydrologic model using spatially distributed remotely sensed/in-situ soil moisture
- (2016) Mohammad Adnan Rajib et al. JOURNAL OF HYDROLOGY
- Using Densely Distributed Soil Moisture Observations for Calibration of a Hydrologic Model
- (2016) Andrea Thorstensen et al. JOURNAL OF HYDROMETEOROLOGY
- SMOS soil moisture assimilation for improved hydrologic simulation in the Murray Darling Basin, Australia
- (2015) H. Lievens et al. REMOTE SENSING OF ENVIRONMENT
- Intercomparison of the JULES and CABLE land surface models through assimilation of remotely sensed soil moisture in southeast Australia
- (2014) Gift Dumedah et al. ADVANCES IN WATER RESOURCES
- The benefits of using remotely sensed soil moisture in parameter identification of large-scale hydrological models
- (2014) N. Wanders et al. WATER RESOURCES RESEARCH
- Benchmarking of L-band soil microwave emission models
- (2013) Marie Parrens et al. REMOTE SENSING OF ENVIRONMENT
- Calibrating a large-extent high-resolution coupled groundwater-land surface model using soil moisture and discharge data
- (2013) E. H. Sutanudjaja et al. WATER RESOURCES RESEARCH
- Assimilation and downscaling of satellite observed soil moisture over the Little River Experimental Watershed in Georgia, USA
- (2012) Alok Kumar Sahoo et al. ADVANCES IN WATER RESOURCES
- Assimilation of passive and active microwave soil moisture retrievals
- (2012) C. S. Draper et al. GEOPHYSICAL RESEARCH LETTERS
- Observation uncertainty of satellite soil moisture products determined with physically-based modeling
- (2012) Niko Wanders et al. REMOTE SENSING OF ENVIRONMENT
- A comparison of methods for a priori bias correction in soil moisture data assimilation
- (2012) Sujay V. Kumar et al. WATER RESOURCES RESEARCH
- Soil Moisture Drought in China, 1950–2006
- (2011) Aihui Wang et al. JOURNAL OF CLIMATE
- New correlations of single-phase friction factor for turbulent pipe flow and evaluation of existing single-phase friction factor correlations
- (2011) Xiande Fang et al. NUCLEAR ENGINEERING AND DESIGN
- Investigating soil moisture–climate interactions in a changing climate: A review
- (2010) Sonia I. Seneviratne et al. EARTH-SCIENCE REVIEWS
- The Soil Moisture Active Passive (SMAP) Mission
- (2010) Dara Entekhabi et al. PROCEEDINGS OF THE IEEE
- An improved approach for estimating observation and model error parameters in soil moisture data assimilation
- (2010) W. T. Crow et al. WATER RESOURCES RESEARCH
- On the Nature of Soil Moisture in Land Surface Models
- (2009) Randal D. Koster et al. JOURNAL OF CLIMATE
- A possible solution for the problem of estimating the error structure of global soil moisture data sets
- (2008) K. Scipal et al. GEOPHYSICAL RESEARCH LETTERS
Discover Peeref hubs
Discuss science. Find collaborators. Network.
Join a conversationAdd your recorded webinar
Do you already have a recorded webinar? Grow your audience and get more views by easily listing your recording on Peeref.
Upload Now