2012 AGU Chapman Conference on Remote Sensing of the ...

sourced groundwater and stream flow discharges notresolvable at the 60 m resolution afforded by Landsat 7infrared images. These much higher resolutions alsominimize contamination effects imparted by land thermalsignatures in pixels immediately adjacent to coasts. Basicinformation about prevailing coastal currents andgroundwater mixing with seawater are clearly evident in theimages. By establishing several transects across eachgroundwater plume, the highly precise temperatures in theimagery allow for unique quantification of each dischargeplume’s boundary. The surface area of each discharge canthen be easily calculated and subsequently up-scaled, orcombined with ground-based flow rates to determine timespatialvariations of volumetric flow. This mappingtechnique is the preferred method for rapid assessment andprecise identification of natural and anthropogenicallyintroduced coastal groundwater and stream flow, at scalesboth large and small. It is highly desirable for many aspectsof ecosystems, pollution and coastal-zone planning andmanagement, as well as a prerequisite for the best use ofsubsequent and time-consuming in-situ field study efforts.Sea surface temperature map of Aina Haina, Oahu, Hawaii inperspective view. Darker water hues represent colder temperaturegroundwater and lighter hues approach seawater temperatures. Theprevailing current direction can be seen as groundwater mixes withseawater.Kerr, Yann H.SMOS and Hydrology: First Lessons LearntINVITEDKerr, Yann H. 1 ; Pauwels, Valentijn 5 ; Wood, Eric 4 ; Walker,Jeff 3 ; Al Bitar, Ahmad 1 ; Merlin, Olivier 1 ; Rudiger, Chris 3 ;Wigneron, Jean Pierre 21. Cesbio, Toulouse, France2. EPHYSE, INRA, Bordeaux, France3. Monash University, Melbourne, VIC, Australia4. Princeton University, Princeton, NJ, USA5. Ghent University, Ghent, BelgiumSMOS, a L Band radiometer using aperture synthesis toachieve a good spatial resolution, was successfully launchedon November 2, 2009. It was developed and made under theleadership of the European Space Agency (ESA) as an EarthExplorer Opportunity mission. It is a joint program with theCentre National d’Etudes Spatiales (CNES) in France andthe Centro para el Desarrollo Teccnologico Industrial(CDTI) in Spain. SMOS carries a single payload, an L band2D interferometric,radiometer in the 1400-1427 MHz hprotected band. This wavelength penetrates well through thevegetation and the atmosphere is almost transparentenabling to infer both soil moisture and vegetation watercontent. SMOS achieves an unprecedented spatial resolutionof 50 km at L-band maximum (43 km on average) withmulti angular-dual polarized (or fully polarized) brightnesstemperatures over the globe and with a revisit time smallerthan 3 days. SMOS has been now acquiring data for twoyears. The data quality exceeds what was expected, showingvery good sensitivity and stability. The data is however verymuch impaired by man made emission in the protectedband, leading to degraded measurements in several areasincluding parts of Europe and of China. However, manydifferent international teams are now addressing cal valactivities in various parts of the world, with notably largefield campaigns either on the long time scale or over specifictargets to address the specific issues. In parallel differentteams are now starting addressing data use in various fieldsincluding hydrology. We have now acquired data over anumber of significant “extreme events” such as droughtsand floods giving useful information of potentialapplications. We are now working on the coupling withother models and or disaggregation to address soil moisturedistribution over watersheds. We are also concentratingefforts on water budget and regional impacts. From all thosestudies, it is now possible to express the “lessons learned”and derive a possible way forward. This paper thus gives anoverview of the science goals of the SMOS mission, adescription of its main elements, and a taste of the firstresults including performances at brightness temperature aswell as at geophysical parameters level and how they arebeing put in good use for hydrological applications.Kim, DaeunSpatio-Temporal Patterns of Hydro-Meteorologicalvariables produced from SVAT model incorporatedwith KLDAS in East AsiaKim, Daeun 1 ; Choi, Minha 11. civil and enviromental eng., hanyang university, Seoul,Republic of KoreaFor adaptation of radical environmental changes,various researches using Land Surface Model (LSM) havebeen made to identify interaction between surface andatmosphere as a parameterizing physical process of energyand substances exchange. Especially, the recent naturaldisasters such as floods and typhoons are caused by climatechange, thus, we can see the necessity of these studies forresponding to the alterations. In this study, hydrometeorologicalvariables were calculated using CommonLand Model (CLM). The models’ forcing data as initial datawas provided by Korea Land Data Assimilation System(KLDAS). The KLDAS is data assimilation methods based onLand Data Assimilation System (LDAS). The KLDAS system82