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A Quasi-Global Evaluation System for Satellite-Based Surface Soil Moisture Retrievals

Wade T Crow, Diego G Miralles, Michael H Cosh
2010 IEEE Transactions on Geoscience and Remote Sensing  
sensed surface soil moisture retrievals will contribute to atmospheric forecasting applications.  ...  Spatial patterns in calculated R value fields are compared to regions of strong land-atmosphere coupling and used to refine expectations concerning the global distribution of land areas in which remotely  ...  The AMSRE NASA product is the official NASA AMSR-E Level 3 soil moisture product [25] derived from application of the dual polarization algorithm described in [23] to H-and V-polarized AMSR-E X-band  ... 
doi:10.1109/tgrs.2010.2040481 fatcat:73yujfvpczctpd4bfrehwocnkq

Hydrologic Data Assimilation [chapter]

Paul R., Gabrille J.M. De Lannoy, Jeffrey P.
2012 Approaches to Managing Disaster - Assessing Hazards, Emergencies and Disaster Impacts  
The above example assimilated the coarse-scale AMSR-E data with a 1-D filter and focused on improving the temporal characteristics of the assimilation results for large scale applications.  ...  A promising solution to improving the accuracy of the soil moisture in NWP models is to make use of novel remotely sensed observations of near-surface soil moisture, such as those available from AMSR-E  ... 
doi:10.5772/31246 fatcat:cavx35wc7ngh7c5rhmwkdil7au

Hydrologic Data Assimilation [chapter]

Jeffrey Walker, Paul Houser
2005 Advances in Water Science Methodologies  
The above example assimilated the coarse-scale AMSR-E data with a 1-D filter and focused on improving the temporal characteristics of the assimilation results for large scale applications.  ...  A promising solution to improving the accuracy of the soil moisture in NWP models is to make use of novel remotely sensed observations of near-surface soil moisture, such as those available from AMSR-E  ... 
doi:10.1201/9780203086841.ch2 fatcat:abg4skazm5hs3pi7e73ded7sze

The Impact of Local Acquisition Time on the Accuracy of Microwave Surface Soil Moisture Retrievals over the Contiguous United States

Fangni Lei, Wade Crow, Huanfeng Shen, Robert Parinussa, Thomas Holmes
2015 Remote Sensing  
Satellite-derived soil moisture products have become an important data source for the study of land surface processes and related applications.  ...  in ascending versus descending soil moisture products.  ...  Holmes provided AMSR-E LPRM datasets and assisted with interpretation of the results.  ... 
doi:10.3390/rs71013448 fatcat:fhkojzb5ofbnpoah3jdiopywgy

Connecting Satellite Observations with Water Cycle Variables Through Land Data Assimilation: Examples Using the NASA GEOS-5 LDAS

Rolf H. Reichle, Gabriëlle J. M. De Lannoy, Barton A. Forman, Clara S. Draper, Qing Liu
2013 Surveys in geophysics  
water cycle components, (3) the forward modeling of microwave brightness temperatures over land for radiance-based soil moisture and snow assimilation, and (4) the selection of the most relevant types  ...  of observations for the analysis of a specific water cycle variable that is not observed (such as root zone soil moisture).  ...  The research was supported by the NASA program on The Science of Terra and Aqua, the NASA Soil Moisture Active Passive mission, the NASA Postdoctoral Program, and the NASA High-End Computing program.  ... 
doi:10.1007/s10712-013-9220-8 fatcat:oapsup4nzjh3pfl4np7zpamf54

A Novel Method for Quantifying Value in Spaceborne Soil Moisture Retrievals

Wade T. Crow
2007 Journal of Hydrometeorology  
A novel methodology is introduced for quantifying the added value of remotely sensed soil moisture products for global land surface modeling applications.  ...  soil moisture retrieval strategies and quantify the novel information content of remotely sensed soil moisture retrievals for land surface modeling applications.  ...  The author would like to thank the creators of the soil moisture products examined in this article: Eric Wood (Princeton University), Huilin Gao (Princeton University/Georgia Institute of Technology),  ... 
doi:10.1175/jhm553.1 fatcat:d5fw2c5yx5b7fo7n7xdi7x6444

GCOM-W AMSR2 Soil Moisture Product Validation Using Core Validation Sites

Rajat Bindlish, Michael H. Cosh, Thomas J. Jackson, Toshio Koike, Hideyuki Fujii, Steven K. Chan, Jun Asanuma, Aaron Berg, D. David Bosch, Todd Caldwell, Chandra Holifield Collins, Heather McNairn (+9 others)
2018 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
methods for assess- ing the impact of agricultural chemicals on ground and surface water supplies.  ...  Comparison of Descending and Ascending Products winter wheat crops that has been widely studied and used as a validation site for AMSR-E soil moisture validation [8].  ... 
doi:10.1109/jstars.2017.2754293 fatcat:qbzont5zrned5eonjyfst6aq3y

Connecting NASA Science and Engineering with Earth Science Applications

M. Susan Moran, Bradley Doorn, Vanessa Escobar, Molly E. Brown
2015 Journal of Hydrometeorology  
This article reports the efforts of the NASA Applied Sciences Program and NASA Soil Moisture Active Passive (SMAP) mission to integrate applications with science and engineering in prelaunch planning.  ...  This research, in turn, has resulted in unprecedented prelaunch preparation for SMAP applications and critical feedback to the mission to improve product specifications and distribution for postlaunch  ...  The SMAP Early Adopter program was a mission-wide effort by the SMAP project, NASA Headquarters, and the SMAP Science Team.  ... 
doi:10.1175/jhm-d-14-0093.1 fatcat:46yuzdcivfenrg2tb7n2nv3gy4

Hydrologic Remote Sensing and Land Surface Data Assimilation

Hamid Moradkhani
2008 Sensors  
Accurate, reliable and skillful forecasting of key environmental variables such as soil moisture and snow are of paramount importance due to their strong influence on many water resources applications  ...  This paper provides an overview of the remote sensing measurement techniques for soil moisture and snow data and describes the advances in data assimilation techniques through the ensemble filtering, mainly  ...  Acknowledgements Author would like to thank anonymous reviewers for their constructive comments resulting in an improvement of the paper.  ... 
doi:10.3390/s8052986 pmid:27879861 pmcid:PMC3675527 fatcat:bv6iyg52fnfz3jwcjwtqirp5ze

Error characterisation of global active and passive microwave soil moisture data sets

W. A. Dorigo, K. Scipal, R. M. Parinussa, Y. Y. Liu, W. Wagner, R. A. M. de Jeu, V. Naeimi
2010 Hydrology and Earth System Sciences Discussions  
Nevertheless, a spatially coherent assessment of the quality of the various globally available data sets 5 HESSD 7, 5621-5645, 2010 Abstract HESSD 7, 5621-5645, 2010 Abstract retrieving soil moisture than  ...  Understanding the error structures of remotely sensed soil moisture products is essential for correctly interpreting observed variations and trends in the data or assimilating them in hydrological or numerical  ...  This study explores the triple collocation error estimation technique for assessing the relative quality of several globally available soil moisture products from active (ASCAT) and passive (AMSR-E and  ... 
doi:10.5194/hessd-7-5621-2010 fatcat:6h4jyr3pongt5d2vb5okboc4qq

Combining satellite observations to develop a global soil moisture product for near-real-time applications

Markus Enenkel, Christoph Reimer, Wouter Dorigo, Wolfgang Wagner, Isabella Pfeil, Robert Parinussa, Richard De Jeu
2016 Hydrology and Earth System Sciences  
In summary, the CCI NRT product is nearly as accurate as the existing ESA CCI SM product and, therefore, of significant value for operational applications such as drought and flood forecasting, agricultural  ...  Therefore, this study proposes an adaptation of the ESA CCI product for daily global updates via satellite-derived near-real-time (NRT) soil moisture observations.  ...  This research was supported and funded within the framework of SATIDA (Satellite Technologies for Improved Drought-Risk Assessment), a project within the Austrian Space Applications Programme (ASAP10)  ... 
doi:10.5194/hess-20-4191-2016 fatcat:nxt25s6yrng4bpzd3recxqe3t4

Improving land surface soil moisture and energy flux simulations over the Tibetan plateau by the assimilation of the microwave remote sensing data and the GCM output into a land surface model

Hui Lu, Toshio Koike, Kun Yang, Zeyong Hu, Xiangde Xu, Mohamed Rasmy, David Kuria, Katsunori Tamagawa
2012 International Journal of Applied Earth Observation and Geoinformation  
The performance of our four data sources, which were NCEP, AMSR-E, LDAS and simulations of Simple Biosphere Model 2 (SiB2), was assessed against 5 months of in situ measurements that were performed at  ...  Compared with the AMSR-E soil moisture retrievals, the LDAS simulations were comparable at the Gaize station, and they were superior at the Naqu station.  ...  We would like to thank our local colleagues from the China Meteorology Administration and the China Academy of Science at the Naqu and Gaize stations.  ... 
doi:10.1016/j.jag.2011.09.006 fatcat:5rbijlemt5e5vmmhtsaqc62qze

Rice Drought Damage Assessment Using AMSR-E Data Inversion of Surface Temperature

Ying Wang, Jianping Zhang, Guochun Li, Baiyuan Ding
2022 Computational Intelligence and Neuroscience  
Scientific, accurate, and timely assessment of the impact of drought on rice yield is essential for improving crop drought resistance and ensuring food production.  ...  sensing observation data (AMSR-E), a statistical model of rice meteorological yield and drought index under the influence of drought is established.  ...  Acknowledgments e authors would like to show sincere thanks to those techniques who have contributed to this research. Supported by National Natural Science Foundation of China (No. 42175193).  ... 
doi:10.1155/2022/4117481 pmid:35619753 pmcid:PMC9129950 fatcat:mtaj4ossi5d6xcp5iammqwjs2e

Evaluation of Satellite and Reanalysis Soil Moisture Products over Southwest China Using Ground-Based Measurements

Jian Peng, Jonathan Niesel, Alexander Loew, Shiqiang Zhang, Jie Wang
2015 Remote Sensing  
For AMSR-E and SMOS, larger errors occur, which are likely due to the severe effects of radio frequency interference (RFI) over the test region.  ...  Long-term global satellite and reanalysis soil moisture products have been available for several years.  ...  Weather Forecasts (ECMWF) for providing the satellite-based and reanalysis soil moisture products.  ... 
doi:10.3390/rs71115729 fatcat:sc4ujed6vzckveka3k2wou3vby

The Contributions of Precipitation and Soil Moisture Observations to the Skill of Soil Moisture Estimates in a Land Data Assimilation System

Qing Liu, Rolf H. Reichle, Rajat Bindlish, Michael H. Cosh, Wade T. Crow, Richard de Jeu, Gabrielle J. M. De Lannoy, George J. Huffman, Thomas J. Jackson
2011 Journal of Hydrometeorology  
The contributions of precipitation and soil moisture observations to soil moisture skill in a land data assimilation system are assessed.  ...  The average skill of AMSR-E retrievals is R 5 0.42 versus SCAN and R 5 0.55 versus CalVal measurements.  ...  Funding for this work was provided by the NASA Earth System Science Research using Data and Products from the Terra, Aqua, and ACRIMSAT Satellites program and the NASA Soil Moisture Active Passive mission  ... 
doi:10.1175/jhm-d-10-05000.1 fatcat:g5vg4hvmave5no4joy6kqstkoq
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