Potential Soil Moisture Retrieval from. PI: Prof. Lori Bruce, Ph.D Mississippi State University GeoResources Institute

Transcription

1 Potential Soil Moisture Retrieval from Aquarius Instrument PI: Prof. Lori Bruce, Ph.D Mississippi State University GeoResources Institute t

2 Aquarius Evaluation Team & Collaborators MSU Team Lori Bruce (PI) Xingang Fan Valentine Anantharaj Georgy Mostovoy Graduate student (MSU GRI and ECE Dept.) External Team Paul Houser and Yan Luo (GMU CREW) Christa Peters-Lidard (NASA HSB) Partner Agencies Garry Schaeffer (USDA NRCS) Steve Hunter (United States Bureau of Reclamation) NASA RPC Review (4/18/08) 2

3 Our Sponsor: NASA Applied Sciences NASA's vision is "to improve life here" and our mission is "to understand and protect our home planet". NASA RPC Review (4/18/08) 3

4 Our Sponsor: NASA Applied Sciences NASA's vision is "to improve life here" and our mission is "to understand and protect our home planet". Applications extend the NASA vision and mission by enabling and facilitating the assimilation of Earth observations and prediction outputs t into decision i support tools. The purpose is to enhance the performance of the decision support resources to serve society through Earth exploration from space. NASA RPC Review (4/18/08) 4

5 Identified Decision Support Needs Routine analysis land surface state over the continental needs water soils sun weather climate vegetation terrain observe, model, assimilate NASA RPC Review (4/18/08) 5

6 Anticipated Societal Benefits 1. provides critical information to support drought monitoring and mitigation 2. provides essential information for predicting droughts based on weather and climate predictions 3. supports irrigation water management 4. supports fire risk assessment 5. supports water supply forecasting and NWS flood forecasting 6. supplies a critical missing component to assist with snow, climate and associated hydrometeorological data analysis 7. supports climate change assessment 8. enables water quality monitoring 9. supports a wide variety of natural resource management & research activities such as NASA remote sensing activities of soil moisture and ARS watershed studies. NASA RPC Review (4/18/08) 6

7 Purpose of RPC Aquarius Experiments Evaluate feasibility and usefulness of Aquarius data for decision support in water resources management and other crosscutting applications. Approach: I. Aquarius Evaluation: Test, characterize, and evaluate potential Aquarius soil moisture data via an OSSE. II. Downscaling for land surface modeling: Downscale Aquarius data and evaluate by land surface modeling. III. Sensitivity Studies: Different LSM(s), input parameters NASA RPC Review (4/18/08) 7

8 Experimental Objectives of Aquarius Evaluation Validate space-based soil moisture estimation using Aquarius radiometer and scaterrometer. Run land surface model experiments to produce water and energy fluxes at suitable resolutions (10-100km 100k???) in selected domain(s), for use in subsequent science and application use. Identify water resources applications and metrics to optimize. Define basic standards d for error analyses and data quality control by cross correlating the various inputs to the hydrological models. NASA RPC Review (4/18/08) 8

9 Identified Tasks Develop and finalize experimental design. (Otherwise mistake could be expensive to correct). This will particularly l include strategies for nature run, emission and backscatter models, orbital and sensor model, selection of retrieval algorithms. Develop and validate nature run. Retrieve soil moisture using the methodology outlined above. Compare with the benchmark data aggregated from the NR. Quantify errors and uncertainties. Evaluate retrieved soil moisture via data assimilation using MRC RPC LIS implementation. Incorporate the necessary OSSE components into an engineering framework using the MRC RPC infrastructure. We will work with the MRC RPC systems architect. Document and publish results NASA RPC Review (4/18/08) 9

10 Identified Tasks Develop and finalize experimental design. (Otherwise mistake could be expensive to correct). This will particularly l include strategies for nature run, emission and backscatter models, orbital and sensor model, selection of retrieval algorithms. Develop and validate nature run. Retrieve soil moisture using the methodology outlined above. Compare with the benchmark data aggregated from the NR. Quantify errors and uncertainties. Evaluate retrieved soil moisture via data assimilation using MRC RPC LIS implementation. Incorporate the necessary OSSE components into an engineering framework using the MRC RPC infrastructure. We will work with the MRC RPC systems architect. Document and publish results NASA RPC Review (4/18/08) 10

11 NASA RPC Review (4/18/08) 11

12 NASA RPC Review (4/18/08) 12

13 NASA RPC Review (4/18/08) 13

14 NASA RPC Review (4/18/08) 14

15 NASA RPC Review (4/18/08) 15

16 OSSE Framework NASA RPC Review (4/18/08) 16

17 NASA RPC Review (4/18/08) 17

18 Initial Sensitivity Studies Using the HYDROS Nature Run NASA RPC Review (4/18/08) 18

19 (Crow et al., 2003) NASA RPC Review (4/18/08) 19

20 T bp = T s Radiative Transfer at the surface { e exp( τ )} + T {( 1 ω )[ 1 exp( τ )][ 1+ r exp( τ )]} sp c c p c sp c Tb Vegetation Surface Tbp can be written as Tbp = T1+T2+T3 T2 T1,T2,T3 correspond to contributions in the above equation τ c T1 T3 Ts Ts = Soil temperature Tc = Vegetation temperature τ c = function of vegetation water content Ts Soil Surface NASA RPC Review (4/18/08) e sp and r sp are functions of soil water content 20

21 1/8 deg LIS nature run experiment domain 1/8 deg domain size: 144x80 points N, W If aggregated to 100km: 18x10points NASA RPC Review (4/18/08) 21

22 Ancillary Data for Microwave Emission & Backscatter Models 1-km Land Cover (UTM) 1/8 degree Land Cover (Lat-lon) NASA RPC Review (4/18/08) 22

23 Ancillary Data for Microwave Emission & Backscatter Models 1-km Soil Texture (UTM) 1/8 degree Soil Texture (Lat-lon) NASA RPC Review (4/18/08) 23

24 Ancillary Data for Microwave Emission & Backscatter Models 1-km NDVI (UTM) 1/8 degree NDVI (Lat-lon) NASA RPC Review (4/18/08) 24

25 Synthetic Data from HYDROS NR 38 look angle 1-km Soil Moisture from Hydros NR 1-km Aquarius-specific brightness temperatures 29 look angle 45 look angle 1-km Aquarius-specific brightness temperatures NASA RPC Review (4/18/08) 1-km Aquarius-specific brightness temperatures 25

26 Aggregation 1-km Soil Moisture from Wade s nature run 100-km Soil Moisture MEBM simulation Aggregation 1-km Aquarius-specific brightness temperatures NASA RPC Review (4/18/08) 100-km Aquarius-specific brightness temperatures 26

27 Sensitivity Studies Sensitivities of Aquarius radar observations to the changes in soil moisture Sensitivities of Aquarius radiometer observations to the changes in soil moisture Back Scatter Bright Temoerature e (K) Soil Moisture (v/v) Soil Moisture (v/v) Sigma_hh Sigma_vv Sigma_hv TB_h TB_v NASA RPC Review (4/18/08) 27

28 Sensitivity Studies Sensitivities of Aquarius radiometer observations to the changes in VWC Sensitivities of Aquarius radar observations to the changes in VWC Bright Temoerature e (K) Backscatter VWC (v/v%) VWC (v/v%) TB_h TB_v Sigma_hh Sigma_vv Sigma_hv NASA RPC Review (4/18/08) 28

29 Sensitivity Studies Sensitivities of Aquarius radiometer observations to the changes in soil temperature Sensitivities of Aquarius radar observations to the changes in soil temperature Brig ght Temoerature (K K) Backscatter Soil Temperature (K) Soil Temperature (K) TB_h TB_v Sigma_hh Sigma_vv Sigma_hv NASA RPC Review (4/18/08) 29

30 Sensitivity Studies B right Temoerature (K) Sensitivities of Aquarius radiometer observations to the changes in vegetation temperature Backscatter 0.25 Sensitivities of Aquarius radar observations to the changes in vegetation temperature Vegetation Temperature (K) Vegetation Temperature (K) TB_h TB_v Sigma_hh Sigma_vv Sigma_hv NASA RPC Review (4/18/08) 30

31 Sensitivity Studies Sensitivities of Aquarius radiometer observations to the changes in roughness Sensitivities of Aquarius radar observations to the changes in roughness Brig ght Temoerature (K K) Backscatter Roughness Roughness TB_h TB_v Sigma_hh Sigma_vv Sigma_hv NASA RPC Review (4/18/08) 31

32 Proposed Schedule Task ID Task Description Q1 Q2 Q3 Q4 Q5 Q6 1 Experimental design 2 Nature run 3 MRC RPC Integration 4 Soil moisture retrieval 5 Uncertainty characterization 6 7 Sensitivity experiments Further validation (case studies as necessary) 8 Document and report results NASA RPC Review (4/18/08) 32

33 Proposed Schedule Task ID Task Description Experimental design 2 Nature run 3 MRC RPC Integration 4 Soil moisture retrieval 5 Uncertainty characterization 6 7 Sensitivity experiments Further validation (case studies as necessary) 8 Document and report results NASA RPC Review (4/18/08) 33

34 Contact Information Valentine Anantharaj edu> Tel: (662) NASA RPC Review (4/18/08) 34