L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting
Published 2017 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
L band microwave remote sensing and land data assimilation improve the representation of prestorm soil moisture conditions for hydrologic forecasting
Authors
Keywords
-
Journal
GEOPHYSICAL RESEARCH LETTERS
Volume 44, Issue 11, Pages 5495-5503
Publisher
American Geophysical Union (AGU)
Online
2017-05-12
DOI
10.1002/2017gl073642
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- A Data-Driven Approach for Daily Real-Time Estimates and Forecasts of Near-Surface Soil Moisture
- (2017) Randal D. Koster et al. JOURNAL OF HYDROMETEOROLOGY
- Could operational hydrological models be made compatible with satellite soil moisture observations?
- (2016) Lu Zhuo et al. HYDROLOGICAL PROCESSES
- Assimilation of SMOS soil moisture and brightness temperature products into a land surface model
- (2016) H. Lievens et al. REMOTE SENSING OF ENVIRONMENT
- Improving the Distributed Hydrological Model Performance in Upper Huai River Basin: Using Streamflow Observations to Update the Basin States via the Ensemble Kalman Filter
- (2016) Yongwei Liu et al. Advances in Meteorology
- A Preliminary Study toward Consistent Soil Moisture from AMSR2
- (2015) Robert M. Parinussa et al. JOURNAL OF HYDROMETEOROLOGY
- Data Assimilation of Satellite Soil Moisture into Rainfall-Runoff Modelling: A Complex Recipe?
- (2015) Christian Massari et al. Remote Sensing
- The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States
- (2015) Fangni Lei et al. Remote Sensing
- Potential of soil moisture observations in flood modelling: Estimating initial conditions and correcting rainfall
- (2014) Christian Massari et al. ADVANCES IN WATER RESOURCES
- Impact of precipitation forecast uncertainties and initial soil moisture conditions on a probabilistic flood forecasting chain
- (2014) Francesco Silvestro et al. JOURNAL OF HYDROLOGY
- The SMOS Soil Moisture Retrieval Algorithm
- (2012) Yann H. Kerr et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- EASE-Grid 2.0: Incremental but Significant Improvements for Earth-Gridded Data Sets
- (2012) Mary J. Brodzik et al. ISPRS International Journal of Geo-Information
- Improving hydrologic predictions of a catchment model via assimilation of surface soil moisture
- (2011) Fan Chen et al. ADVANCES IN WATER RESOURCES
- The SMOS Mission: New Tool for Monitoring Key Elements ofthe Global Water Cycle
- (2010) Yann H Kerr et al. PROCEEDINGS OF THE IEEE
- The Soil Moisture Active Passive (SMAP) Mission
- (2010) Dara Entekhabi et al. PROCEEDINGS OF THE IEEE
- Role of Subsurface Physics in the Assimilation of Surface Soil Moisture Observations
- (2009) Sujay V. Kumar et al. JOURNAL OF HYDROMETEOROLOGY
Add 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 NowAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started