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2008 Fall AGU Meeting: Land surface and hydrology presentations

Predicting landslides and improving predictions of precipitation, studying northern Eurasia, and modeling the fluxes between land and atmosphere are the subjects...

Predicting landslides and improving predictions of precipitation, studying northern Eurasia, and modeling the fluxes between land and atmosphere are the subjects of 5 presentations at the Fall AGU meeting in San Francisco, Dec. 15-19.

Five presentations at the 2008 Fall AGU meeting are related to land surface processes (including regional applications) or hydrological processes.  

(Note:   summaries of presentations with GES DISC staff as either first authors or co-authors are included in this news article.)

"The NASA NEESPI Data Portal:  Products and Tools"  provides information about the GES DISC portal for the Northern Eurasian Earth Science Partnership Initiative (NEESPI).   The GES DISC provides access to land surface data, atmospheric data, and cryospheric data utilizing the Giovanni system.   Recently, the GES DISC has developed a data product metadata database prototype to expand the data portal with additional data product information, with the intention of leveraging data sharing.    This expansion should make finding relevant data easier for NEESPI scientists.   Authors:   Suhung Shen, Greg Leptoukh, Tatiana Loboda, Ivan Csiszar, Peter Romanov, and Irina Gerasimov.

This presentation is a poster scheduled for Thursday, December 18, at 0800, in Moscone Center Hall D, Session GC41A, poster 0673.

Link to session abstracts

" Customer-oriented Data Formats and Services for Global Land Data Assimilation System (GLDAS) Products at the NASA GES DISC"   describes the variety of data products available in the Hydrology Data and Information Services Center (HDISC) from the Global Land Data Assimilation System (GLDAS).   The products include land surface state variables (soil moisture and surface temperature) and flux variables (evaporation and sensible heat flux) which are simulated by four land surface models.   The data is available via several different methods, and on-the-fly conversion to either NetCDF or binary data format is possible.  Authors:   Hongliang Fang, Hiroko Kato, Matthew Rodell, Bill Teng, and Bruce Vollmer.

This presentation is a poster scheduled for Thursday, December 18, at 0800, in Moscone Center Hall D, Session H41B, poster 0857.

Link to session abstracts

"Usefulness of Satellite Soil Moisture Data for Improving an Existing Global Landslide Algorithm for Monitoring and Forecasting" concerns an existing experimental global landslide forecasting algorithm developed by combining a susceptibility map with Tropical Rainfall Measuring Mission (TRMM)-derived rainfall intensity-duration thresholds for rain-triggered landslide events. The current study explores the relationship between satellite soil moisture data and historical landslide events and the possible means of integrating soil moisture data into the existing algorithm. Satellite soil moisture data are from the TRMM Microwave Imager (TMI) and the Advanced Microwave Scanning Radiometer-Earth Observing System (AMSR-E).  Authors:  Bill Teng, Dalia Kirschbaum, Yang Hong, Robert Adler.

This presentation is a poster scheduled for Friday, December 19, at 0800, in Moscone Center Hall D, Sessin H51F, poster 0885.

Link to session abstracts

" Enhancing a global satellite-based Landslide hazard Algorithm with regional applications in Central America and the Caribbean" is a study related to the one above.   This study examines regional applications by utilizing landslide inventories, high resolution surface products (such as the Shuttle Radar Topography Mission Digital Elevation Maps, and also incorporates other parameters such as land cover.   The study results indicate the the spatial resolution of the input parameters has a significant effect on the calculation of landslide susceptibility, and the relationship to rainfall is still uncertain in the algorithm.    Use of the algorithm at the regional scale improves algorithm performance.   Authors: Dalia Kirschbaum, Art Lerner-Lam, Robert Adler, Yang Hong, Bill Teng.

This is an oral presentation scheduled for Thursday, December 18, at 1730, in Moscone Center Room 2004, Session H44B.

Link to session abstracts

"Fusing precipitation for NOAA's AWIPS DSS through a hydro-information system"  describes improvements for accurate precipitation estimation, necessary for flood and drought forecasting and monitoring.  In this presentation, the integration of an MKF-based (Multiscale Kalman Filter) framework with a hydro-information system, to fuse Stage III/Multi- sensor Precipitation Estimator (MPE) hourly NEXRAD precipitation data at approximately 4 x 4 km2 resolution with precipitation data from LDAS (Land Data Assimilation Systems) at 1/8° resolution, will be illustrated.   The impacts of the fused precipitation estimates are investigated.   Authors:  Xu Liang, Shugong Wang, Zhuotong Nan, Thomas Adams, William Teng, Long Chiu, Yao Liang.

This presentation is a poster scheduled for Wednesday, December 17, at 1340, in Moscone Center Hall D, Session IN33B, poster 1169.

Link to session abstracts

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