Slide2:
SeaWiFS Views Highly Productive Waters in the Atlantic Ocean Sydney May 11, 2002 True-Color Image Pseudo-Color Image
Slide3:
A subscene of the SeaWiFS Chlorophyll-a image collocated with SAR subscene acquired two hours later on 19 August 2000 covering the upwelling region northeast of Taiwan. Relationship between the ERS-2 SAR Radar Cross-Section attenuation and SeaWiFS Chl-a concentration. Typically, 1 mg/m3 of Chl-a is correspondent with a 5 dB reduction of Radar Cross-Section. Correlation Between Radar Backscatter and Ocean Colour Supported by Sea Truth Antony Liu, NASA Goddard Space Flight Center
I-I Lin, National Center for Ocean Research, Taiwan
Slide4:
Christa D. Peters-Lidard, Feifei Pan, Ann Hsu, and Peggy ONeill
Abstract
Recently, Peters-Lidard and coworkers (Peters-Lidard et al., 2001) published an analysis of modeled and measured soil moisture during the Washita '92 field campaign suggesting that the spatial scaling of soil moisture is controlled in wet periods by processes controlling infiltration (e.g., including rainfall pattern, soil and vegetation properties) and in dry periods by processes controlling drainage and evaporation (e.g., soils, topography and vegetation properties). Recent work presented here further explores these issues in the context of the month-long Southern Great Plains '97 hydrology experiment (SGP97), during which daily soil moisture images at 800 m resolution were derived from brightness temperature measurements obtained with the airborne L band ESTAR microwave radiometer. This set of images, which compared favorably with in-situ volumetric soil moisture measurements, forms the basis of this study, along with the NOAH land surface model (developed by NOAA/NCEP, Oregon State University, the Air Force Weather Agency, and the Office of Hydrology). In this study, the NOAH model is applied with and without enhancements representing topography for comparisons to the spatial pattern of ESTAR-derived soil moisture estimates over the 11,000 square kilometer SGP97 test region. Results for both wet and dry periods illustrate the processes controlling the spatial and temporal patterns of soil moisture.
Reference: Peters-Lidard, C. D., F. Pan, and E. F. Wood, 2001. A re-examination of modeled and measured soil moisture spatial variability and its implications for land surface modeling. Advances in Water Resources (Special Issue on Non-Linear Propagation of Multi-scale Dynamics Through Hydrologic Subsystems), Vol 24/9-10, pp 1069-1083.
Determinants of SGP97 Surface Soil Moisture Patterns from ESTAR and NOAH
Determinants of SGP97 Surface Soil Moisture Patterns from ESTAR and NOAH:
Determinants of SGP97 Surface Soil Moisture Patterns from ESTAR and NOAH Christa D. Peters-Lidard1, Feifei Pan2,
Ann Hsu3, Peggy O'Neill1
1Hydrological Sciences Branch, Code 974
NASA’s Goddard Space Flight Center(GSFC), Greenbelt, MD
2School of Civil and Environmental Engineering, Georgia Institute of Technology, Atlanta, GA
3USDA-ARS Hydrology & Remote Sensing Lab, Beltsville, MD Dr. Christa D. Peters-Lidard cpeters@hsb.gsfc.nasa.gov
GSFC Hydrological Sciences Branch
Slide6:
Soil moisture-topographic correlation Dr. Christa D. Peters-Lidard cpeters@hsb.gsfc.nasa.gov
GSFC Hydrological Sciences Branch
Slide7:
Soil moisture-precipitation correlation Dr. Christa D. Peters-Lidard cpeters@hsb.gsfc.nasa.gov
GSFC Hydrological Sciences Branch