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Landscape Temperature and Frozen/Thawed Condition over Alaska with Infrared and Passive Microwave Remote Sensing Determination of Thermal Controls on Land-Atmosphere.

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Presentation on theme: "Landscape Temperature and Frozen/Thawed Condition over Alaska with Infrared and Passive Microwave Remote Sensing Determination of Thermal Controls on Land-Atmosphere."— Presentation transcript:

1 Landscape Temperature and Frozen/Thawed Condition over Alaska with Infrared and Passive Microwave Remote Sensing Determination of Thermal Controls on Land-Atmosphere Carbon Flux in Support of CARVE N. Steiner 1, K. McDonald 1,2, R. Schröder 1,2, S. Dinardo 2 and C. Miller 2 1. Earth and Atmospheric Sciences, The City College of New York, CUNY, New York, NY, United States. 2. Jet Propulsion Laboratory, California Institute of Technology, Pasadena, CA, United States. CARVE

2 Overview Carbon in the Arctic Vulnerability Experiment (CARVE) Remote Sensing Datasets Freeze/Thaw Passive Microwave Land Surface Temperature Overview CARVE Flights Conclusion/Future Work

3 Carbon in the Arctic Vulnerability Experiment (CARVE) - Overview Key Science Questions: What are the sensitivities of the Alaskan Arctic carbon cycle and ecosystems to climate change? How does interannual variability in surface controls (e.g., soil moisture) affect landscape-scale atmospheric concentrations and surface-atmosphere fluxes of CO2 and CH4 in the Alaskan Arctic? What are the impacts of fire and thawing permafrost on the Alaskan Arctic carbon cycle and ecosystems?

4 Remote Sensing Data System Determine various surface controls Freeze/Thaw Surface Temperature Soil Moisture / Inundation Volume of daily data 21 Level Grids for Alaska (1 + 3 km gridding) Generated in near real-time (when possible) Support flight planning Identify of interest SciDB – An Array-Based Analytical DBMS Handles sparse (swath) and dense (grid) arrays Contains both Query (SQL-like) and Functional language Linear algebra on very large arrays Scalable scidb.org

5 SciDB: Swath to Grid Processing Time Dimension Dense Grid Data Latitude Dimension Longitude Dimension Sparse Swath Data Column Dimension Row Dimension Moving Window Aggregation Swath to grid processing done in-storage Window size set to satellite footprint

6 brightness temperature, vertical pol. [K] Advanced Microwave Scanning Radiometer 2 (AMSR2) Gridded at 3 km

7 Example: September 25, 2013 (6-day) MODIS LST [ o K] Day Night MODIS LST [ o K] MODIS Land Surface Temperature MODIS (MOD11) LST and Emissivity Product Standard split-window CARVE Generated Daily Grids 1 km grid centers Combined Aqua and Terra Separate Day, Night 6 Day forward-filling to replace missing observations Gridded using moving window aggregation

8 AMSR2 Freeze/Thaw Algorithm Coldfoot AWS Snow Depth Soil Temp., 2 m depth Temperature [C] Diurnal ΔT B Seasonal ΔT B Snow Depth [in.] Thresholds (T R ) are determined using surface temperatures TRTR

9 MODIS LST [ o K] Early Summer – Late stages of the freeze/thaw transition Evidence of North Slope Diurnal Melting Corresponds to near-freezing temperatures found in the nighttime MODIS LST Quick-Look Freeze/Thaw Product - Week of June 1, GHz Diurnal Product (AMSR2) Night Day

10 Coldfoot StationSagwon Station Passive Microwave and Thermal IR - Freeze/Thaw Coldfoot Station Soil temperature [C] Th Tr Fr Comparison of AMSRE freeze/thaw and MODIS surface temperatures Threshold on MODIS LST can be found to separate frozen from thawed state Sagwon Station Soil temperature [C] Thawed Transitional Frozen Coldfoot Sagwon

11 Thermal LST / Passive Microwave Freeze Thaw Comparison AMSR-E F/T and MODIS LSTInSitu Soil F/T and MODIS LST Station Agreement [%]N MODIS Threshold [deg.K] Agreement [%] N MODIS Threshold [deg.K] Toolik91.31% % Sagwon92.48% % Coldfoot (958)92.77% % Bonanza Creek (A01) 96.08% %

12 Forward Looking Infrared (FLIR) Imager Aircraft mounted Nadir pointing 40.4x40.5 FOV Measures infrared radiance at 3-5 microns 200 megapixels per second

13 CARVE Flight - 10/24/2013 AMSR2, 36GHz V-polarization MODIS–LST, Day (b)(a) (b)

14 CARVE Flight 10/24/13

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16 Conclusions The use of SciDB is found to be well suited for the processing of satellite data for CARVE Successful implementation of an operational freeze/thaw product at near-real-time latency Thermal infrared and passive microwave instruments can be used to observe freeze thaw processes This will enable the use of high resolution monitoring of freeze/thaw processes using FLIR imager Future Work Combine remote sensing products with aircraft and in-situ carbon measurements and surface process modelling Use remote sensing measurements for the spatiotemporal distribution of carbon cycling of CO 2 and CH 4

17 Thank You


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