SMEX04/NAME Soil Moisture Remote Sensing Field Experiment Status Report 11/6/03.

Slides:



Advertisements
Similar presentations
Environmental Application of Remote Sensing: CE 6900 Tennessee Technological University Department of Civil and Environmental Engineering Course Instructor:
Advertisements

Land Surface Evaporation 1. Key research issues 2. What we learnt from OASIS 3. Land surface evaporation using remote sensing 4. Data requirements Helen.
A Microwave Retrieval Algorithm of Above-Cloud Electric Fields Michael J. Peterson The University of Utah Chuntao Liu Texas A & M University – Corpus Christi.
Carbon dynamics at the hillslope and catchment scale Greg Hancock 1, Jetse Kalma 1, Jeff McDonnell 2, Cristina Martinez 1, Barry Jacobs 1, Tony Wells 1.
TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.
Remote Sensing of Hydrological Variables over the Red Arkansas Eric Wood Matthew McCabe Rafal Wojcik Hongbo Su Huilin Gao Justin Sheffield Princeton University.
Passive Microwave Rain Rate Remote Sensing Christopher D. Elvidge, Ph.D. NOAA-NESDIS National Geophysical Data Center E/GC2 325 Broadway, Boulder, Colorado.
ATS 351 Lecture 8 Satellites
Princeton University Global Evaluation of a MODIS based Evapotranspiration Product Eric Wood Hongbo Su Matthew McCabe.
Impacts of Soil Moisture on Storm Initiation Christopher M. Taylor Richard Ellis.
The first three rows in equation control the estimates of soil moisture from the regression equation assuring that the estimated soil moisture content.
Globally distributed evapotranspiration using remote sensing and CEOP data Eric Wood, Matthew McCabe and Hongbo Su Princeton University.
AMMA-UK Kick-off meeting Jan 2005 WP1 Land surface and atmosphere interactions Chris Taylor Phil Harris.
Unstable Science Question 2 John Hanesiak CEOS, U. Manitoba Unstable Workshop, Edmonton, AB April 18-19, 2007.
Soil Moisture Algorithm Results Oklahoma H Polarization Shown here are 1.4 GHz results obtained using an aircraft sensor and 19 GHz satellite data The.
Use of TRMM for Analysis of Extreme Precipitation Events Largest Land Daily Rainfall (mm/day)
CSIRO LAND and WATER Estimation of Spatial Actual Evapotranspiration to Close Water Balance in Irrigation Systems 1- Key Research Issues 2- Evapotranspiration.
Abbie Harris - NOAA Ocean Acidification Think Tank #5 Current and Future Research at the Institute for Marine Remote Sensing Abbie Rae Harris Institute.
Page 1 Water vapour and clouds Important for: –accurate precipitation forecasts. –estimating surface energy budgets. –assessing climate feedback effects.
SMEX04 Workshop Tucson Feb , Workshop Objectives Provide potential participants with an overview of the primary experiment goals, needs, and.
Role of Soil Moisture/Climate Networks in SMAP Validation T. J
Slide 1/32NOAA Soil Moisture/Soil Temperature Workshop, Oak Ridge, TN, 3-5 March, 2009 Value of Ground Network Observations in Development of Satellite.
Experiments with the microwave emissivity model concerning the brightness temperature observation error & SSM/I evaluation Henning Wilker, MIUB Matthias.
Cold Land Processes Jared K. Entin May 28 th, 2003.
GHP and Extremes. GHP SCIENCE ISSUES 1995 How do water and energy processes operate over different land areas? Sub-Issues include: What is the relative.
Princeton University Development of Improved Forward Models for Retrievals of Snow Properties Eric. F. Wood, Princeton University Dennis. P. Lettenmaier,
Water Cycle Breakout Session Attendees: June Wang, Julie Haggerty, Tammy Weckwerth, Steve Nesbitt, Carlos Welsh, Vivek, Kathy Sharpe, Brad Small Two objectives:
Precipitation Retrievals Over Land Using SSMIS Nai-Yu Wang 1 and Ralph R. Ferraro 2 1 University of Maryland/ESSIC/CICS 2 NOAA/NESDIS/STAR.
Passive Microwave Remote Sensing
Introduction to NASA Water Products Rain, Snow, Soil Moisture, Ground Water, Evapotranspiration NASA Remote Sensing Training Norman, Oklahoma, June 19-20,
William Crosson, Ashutosh Limaye, Charles Laymon National Space Science and Technology Center Huntsville, Alabama, USA Soil Moisture Retrievals Using C-
SeaWiFS Highlights September 2002 SeaWiFS Views Development of Hurricane Isidore These two SeaWiFS images were collected ten days apart. The first was.
AN ENHANCED SST COMPOSITE FOR WEATHER FORECASTING AND REGIONAL CLIMATE STUDIES Gary Jedlovec 1, Jorge Vazquez 2, and Ed Armstrong 2 1NASA/MSFC Earth Science.
Building a GIS Dataset of the Walnut Creek Watershed Sally Holl.
Excerpts from Tom Jackson’s slides shown at Nov 2013 SMAP CalVal workshop with comments added by E. Kim in green TJJ–1 Green comments added by E.Kim.
Remote sensing for surface water hydrology RS applications for assessment of hydrometeorological states and fluxes –Soil moisture, snow cover, snow water.
- JAXA Agency Report - Osamu OCHIAI JAXA/EORC WGISS#18, SG#17 Sept. 6-10, 2004.
NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.
Introduction to and validation of MM5/VIC modeling system.
Advanced Microwave Scanning Radiometer - Earth Observing System (AMSR-E) AMSR-E Products and NASA’s AMSR-E Validation Data at NSIDC Amanda Leon and Michelle.
NAME HYDROMETEOROLOGICAL WORKING GROUP Motivation and Coordinated Activities.
Land Surface Modeling Studies in Support of AQUA AMSR-E Validation PI: Eric F. Wood, Princeton University Project Goal: To provide modeling support to.
NORTH AMERICAN MONSOON EXPERIMENT (NAME) An internationally coordinated, joint US-Mexico process study aimed at improving warm season precipitation prediction.
SeaWiFS Views the Agulhas Retroflection Gene Feldman NASA GSFC, Laboratory for Hydrospheric Processes, SeaWiFS Project Office
Evaluation of Passive Microwave Rainfall Estimates Using TRMM PR and Ground Measurements as References Xin Lin and Arthur Y. Hou NASA Goddard Space Flight.
Goal: to understand carbon dynamics in montane forest regions by developing new methods for estimating carbon exchange at local to regional scales. Activities:
NAME Enhanced Observation Period 5 th NAME Science Working Group Meeting November 5-7, 2003 NAME Homepage:
Use of AMSR-E Land Parameter Modeling and Retrievals for SMAP Algorithm Development Steven Chan Eni Njoku Joint AMSR Science Team Meeting Telluride, Colorado.
1 Tropical Cloud Systems and Processes (TCSP) Experiment Science Team 25 Principal Investigators from 5 NASA centers, 10 universities, 2 other government.
An Overview of Satellite Rainfall Estimation for Flash Flood Monitoring Timothy Love NOAA Climate Prediction Center with USAID- FEWS-NET, MFEWS, AFN Presented.
SeaWiFS Views Equatorial Pacific Waves Gene Feldman NASA Goddard Space Flight Center, Lab. For Hydrospheric Processes, This.
Developing Consistent Earth System Data Records for the Global Terrestrial Water Cycle Alok Sahoo 1, Ming Pan 2, Huilin Gao 3, Eric Wood 2, Paul Houser.
“Land Surface Study” Scenario – Ted Strub’s Effort Search on “soil moisture brightness temperature” At the bottom of the first page of the results was.
NAME SWG th Annual NOAA Climate Diagnostics and Prediction Workshop State College, Pennsylvania Oct. 28, 2005.
Sarah Abelen and Florian Seitz Earth Oriented Space Science and Technology (ESPACE) IAPG, TUM Geodätische Woche 2010 Contributions of different water storage.
© Crown copyright Met Office SALSTICE: the aircraft and ground based campaign in USA (May 2013) Stu Newman, Chawn Harlow and co-workers OBR conference,
SCM x330 Ocean Discovery through Technology Area F GE.
Over 30% of Earth’s land surface has seasonal snow. On average, 60% of Northern Hemisphere has snow cover in midwinter. About 10% of Earth’s land surface.
New Projects: Collaborators Sought NSF OPP Instrumentation Project: STAR-Light – a 1.4 GHz aperture synthesis radiometer for use on light aircraft in arctic.
“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.
Passive Microwave Remote Sensing
Principal Investigator: Eni G. Njoku
JPL Technical Activities
Term Project Presentation
NSIDC CLPX Cryosphere Science Data Product Metrics
NSIDC DAAC UWG Meeting August 9-10 Boulder, CO
EG2234 Earth Observation Weather Forecasting.
NPOESS Airborne Sounder Testbed (NAST)
NAME HYDROMETEOROLOGICAL WORKING GROUP
Forests, water & research in the Sierra Nevada
Presentation transcript:

SMEX04/NAME Soil Moisture Remote Sensing Field Experiment Status Report 11/6/03

Rationale One of the main objectives of NAME is to improve prediction of warm season precipitation. Warm season precipitation is highly dependent on convection which, in turn, is controlled, at least in part, by soil moisture and surface temperature. Therefore, an accurate characterization of spatial and temporal variability of soil moisture is critical to NAME. Given the spatial scales involved, remote sensing is the only realistic strategy to provide soil moisture maps based on observations.

1.The spatial and temporal patterns of soil moisture estimated from remote sensing (by aircraft so as to provide high spatial resolutions) can be used for initialization and/or updating of the boundary conditions for the land surface component of land-atmosphere models. 2.The spatial and temporal patterns of soil moisture can be used for validation of land surface model outputs, and to discern the relationship between soil moisture and warm season precipitation and associated feedback mechanisms. 3.Aircraft-based soil moisture mapping can provide a basis for model-based extrapolation over Tier 1, using methods developed under LDAS. For the larger Tier 2 and 3 regions, satellite retrievals (AMSR), tested using aircraft data, will be appropriate and span several AMSR grid cells.

Strategy Aircraft remote sensing (C- and L-band passive microwave) transects over well instrumented surface sites (including continuous soil moisture sensing at points, and many additional gravimetric samples) for two target areas of very roughly 10 4 km 2 each, one north (Walnut Gulch) and one south (Sonora area) of the U.S.-Mexico border Use the in situ observations to verify the aircraft estimates over the target areas, and the mapped aircraft estimates in turn to “train” algorithms to produce maps of soil moisture over (at least) NAME Tier 1 from satellite products (specifically AMSR flying on board Aqua) This approach has previously been used in a series of SGP and SMEX field campaigns. A significant difference of the NAME target areas is complex topography Funding for the soil moisture field campaign has been provided by NASA Terrestrial Hydrology Program

Soil Moisture Experiments (SMEX) Science – Water Cycle – Algorithms – Validation – Technology Aircraft Instruments – PSR – ESTAR/2DSTAR – GPS Satellite Instruments – AMSR-E – – SSM/I – TMI – Envisat, ERS-2, Quikscat – Coriolis – MODIS, ASTER – TM – GOES, AVHRR Sites (June-July) – Oklahoma – Georgia – Alabama – Brazil Ground Investigations – Soil moisture – Soil temperature – Surface flux – Vegetation – Surface roughness – Ground based radiometry – Insitu calibration – Insitu scaling AIRSAR – Iowa Arizona Mexico – – – Sites (How we put our experiments together)

In much of the interior of the North American continent, summer precipitation is a dominant feature of the annual cycle. Surface boundary conditions play an important role in initiation and maintenance of the North American Monsoon System (NAMS), which controls summer precipitation over much of this region. Understanding these processes is a focus for the North American Monsoon Experiment (NAME) A working hypothesis of NAME is that among the land surface antecedent boundary conditions that control the onset and intensity of the NAMS is soil moisture. The influence of the land surface is relayed through surface evaporation and associated surface cooling (dependent on soil moisture), terrain, and vegetation cover. Soil moisture and, in particular, surface wetness, can change dramatically after heavy rain events. Increased soil moisture after precipitation promotes evapotranspiration between storm events. This may contribute to enhanced convection and further precipitation. As part of NAME there will be an intensive observing period in the summer of 2004 over the Tier I domain. The intention of SMEX04-NAME is to enhance the terrestrial hydrology component of NAME by facilitating development of soil moisture. Specific activities include the provision of soil moisture products from the existing insitu network in Arizona and the development of an equivalent network within a study region in Mexico, and soil moisture products derived from existing satellite sensors on Aqua and TRMM. An intensive ground and aircraft field campaign will take place between mid July and mid August 2004 that will provide validation of the insitu and satellite products. SMEX04-NAME will also address important algorithm and validation issues for existing satellite based soil moisture products from the Advanced Microwave Scanning Radiometer and

Soil Moisture Observations and Products for NAME Over much of the NAME region soil moisture observations are sparse. Remote sensing provides an alternative means of observing spatial and temporal variations in surface wetness over the region. Frequent derived estimates of soil moisture over much of the NAME region should be made possible through recently launched satellite microwave sensors, including the Advanced Microwave Scanning Radiometer (AMSR) both on Aqua (NASA) and ADEOS-II (NASDA) as well as the TRMM Microwave Imager

Examples of Aircraft and Satellite Soil Moisture Products Aircraft based Polarimetric Scanning Radiometer (PSR) from SMEX02 (Iowa). Uses the same C band channel as AMSR. Spatial resolution of 2 km. Satellite based TRMM Microwave Imager brightness temperature images for a sequence of days over the Tier 1 region.

SMEX02 (Iowa) Soil moisture Products from the Aircraft Based PSR Easting (m) Northing (m) Soil moisture (%)

Regional study areas 50 by 75 km linked to Ease-grid 25 km cells SMEXS04/NAME soil moisture experiment target areas

Walnut Gulch Regional Study Area (WG) Red markers are the corners of the 25 km Ease Grid cells

Mexico Regional Study Area (MX) Red markers are the corners of the 25 km Ease Grid cells

SMEX04 Elements In-situ soil moisture networks, precipitation, and micromet measurements (north and south sites) Aircraft mapping Intensive sampling concurrent with aircraft mission Satellite products

SMEX04 Elements: In-situ soil moisture networks Modeled after current AMSR Cal/Val project 12 or more long term in-situ sites All sites have 5 cm soil moisture and temperature (Vitel Hydraprobe) and precipitation Walnut Gulch is already instrumented A region in Mexico is being instrumented (Chris Watts)

Walnut Gulch Soil Moisture Sites

SMEX04 Elements: Aircraft Overview NASA JSC WB-57 July 15 – August 15, 2004 Aircraft sensors –PSR and an L band Mission –15 flight dates, 5 hours per day –Walnut Gulch and Mexico sites (50 by 100 km) –4 flightlines per site Aircraft to be based in Tucson Discussions underway (via NASA) for flight clearances (and some issues related to border radars)

NASA JSC WB57 Aircraft

SMEX04 Elements: Intensive Sampling Concurrent with Aircraft Mission Calibration of network Fills in the spatial domain Two teams (Walnut Gulch and Mexico) Mexico partnership with local institutions Soil moisture retrieval algorithms will be variation of the one developed for SMEX02 and SMEX03

SMEX04 Available Satellite Products Satellite sensors: AMSR (Aqua) Coriolis TMI SSM/I

Status Core team formed: HRSL, JPL, ARS Tucson, IMADES (Mexico), Univ. Arizona Aircraft identified: WB57 PSR being adapted L band TBD Team Workshop (onsite and telecon) For details: hydrolab.arsusda.gov/smex04/

Outstanding issues Adaptation of L-band instrument (probably ESTAR or 2D-STAR) to fly on WB57 (cost and timing) Ancillary measurements (e.g. latent and sensible heat flux) in south would be highly desirable, requires aircraft team and/or flux tower. Could this be coordinated with Douglas-Watts activities further south? Coordination of rain gauge and other in situ data collection with activities elsewhere in Tier 1 (e.g. common archiving of precipitation data?) Coordination of aircraft clearances with NOAA aircraft being flown elsewhere Identification of ground teams Planned workshop (Tucson Feb 2004) will address many of these issues For details: hydrolab.arsusda.gov/smex04/