Overview: MODLAND Production Status, Schedule and Time Series Issues (C4 to C5 Transition) MODIS Land Collection 5 Workshop Jan. 17, 2007 Robert Wolfe.

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Presentation transcript:

Overview: MODLAND Production Status, Schedule and Time Series Issues (C4 to C5 Transition) MODIS Land Collection 5 Workshop Jan. 17, 2007 Robert Wolfe NASA GSFC Code 614.5

Jan. 17, Wolfe 3 MODIS Land Products Energy Balance Product Suite –Surface Reflectance –Land Surface Temperature, Emmisivity –BRDF/Albedo –Snow/Sea-ice Cover Vegetation Parameters Suite –Vegetation Indices –LAI/FPAR –GPP/NPP Land Cover/Land Use Suite –Land Cover/Vegetation Dynamics –Vegetation Continuous Fields –Vegetation Cover Change –Fire and Burned Area

Jan. 17, Wolfe 4 MODLAND Website

Jan. 17, Wolfe 5 Level 2 Products Retrieved geophysical parameters at the same location and in the same format as the MODIS Level 1 instrument data –288 granules/day; 5 min.; approx x 2030 km –250m, 500m and 1km nadir resolutions

Jan. 17, Wolfe 6 Level 2G, 3 and 4 Products (fine resolution) Level 2G/3: earth-gridded geophysical parameters Level 4: earth-gridded model outputs Daily, 8-day, 16-day, 32- day, monthly and yearly products 10º x 10º Tiles ( ) Sinusoidal (equatorial); 7.5, 15 and 30 arcsec. resolution (roughly 250m, 500m and 1 km) LAEA (sea-ice products, polar projection) Lambert Azimuthal Equal Area (LAEA) Sinusoidal

Jan. 17, Wolfe 7 Climate modeling grid products Resolution: 0.05º (now) and 0.25º (previous) degrees Almost all products are lat/long –sea-ice is current exception – in polar grid (snow in C5) (from BU – NBAR CMG – days , 2001)

Jan. 17, Wolfe 8 Land Algorithm Dependency Previous Period’s BRDF/Albedo Land Surface Temp./Emissivity Land Cover L2/L2G Products Snow/Sea-Ice Cover Surface Reflectance Fire Land Surface Temp./Emissivity Grid Pointer Data Grid Angular Data L3/L4 Products Snow/Sea-ice Cover Surface Reflectance Land Surface Temp./Emissivity Fire and Burned Areas Vegetation Indexes BRDF/Albedo LAI/FPAR GPP/NPP Land Cover and Vegetation Dynamics Vegetation Cover Change and Continuous Fields Previous L3/L4 Products Input Data Calibrated Radiance Geolocation Fields Cloud Mask Aerosol Precipitable Water DAO Data

Jan. 17, Wolfe 9 MODLAND Production Details R12 L3 16-day VI, BRDF, Intermed. VCC R5P L2G/3 Daily Snow, Sea Ice R14 L3 32-day Land Cov. DB, VCC, VCF R10 L3 8-day Land Surf. Refl., Fire (+daily), Land Surf. Temp/Emmis., Snow, Sea Ice, LAI/FPAR R5 L2G/3 Daily Geoang., Pointers, Agg./Text., Land Surf. Refl., Fire, Snow R4/4d L2/3 Daily Land Surf. Temp./Emiss. C0 L1 Geo., L1B, Cloud Mask, Atmos. Prof. D0 Ancillary Data (GMAO, NMC) R1 L2 Snow, Sea Ice, Fire R3 L2 Land Surf. Refl. R16c L4 yearly NPP R16a/b L4 daily, 8-day GPP R18 L3 96-day Land Cover/Change

Jan. 17, Wolfe 10 Product Format Hierarchical Data Format (HDF) – Self describing file format Science Data Sets (SDSs) – 2D, 3D or 4D arrays –Bit Fields – unsigned integers broken into groups of bits –Discrete values – e.g., Snow, Cloud, etc. –Scaled Integers – valid range, scale and offset included Attributes – text or other data that annotates the file (global) or arrays (SDSs) Metadata – ECS metadata for products (stored as attributes) –includes QA information, date/time products acquired/produced, etc..met file also contains the ECS core metadata –some additional fields –some fields (QA, etc.) may be updated when product distributed HDF-EOS Metadata (SWATH or GRID) – geometric information that relates data to specific earth locations

Jan. 17, Wolfe 11 L2G – Multiple Observations – Simple Case Multiple observations covering a single grid cell: a.about 50% of overlap distributed into two observations b.25% of overlap distributed over four observations. Observations and grid cell are the same size and have the same orientation a. About 50% Overlap b. 25% Overlap Cell Distribution of coverage for each of the observation with the largest intersection with a cell

Jan. 17, Wolfe 12 L2G Format L2G product with same spatial dimensions as corresponding L3 tile Stack of observations per output grid cell Observation i Pointer information: granule pointer, line, sample, etc. Geophysical parameters: e.g., land surf. reflectance, thermal anomalies, etc. Viewing geometry: view zenith, solar zenith, etc. obs 3 obs 1 obs 2 o bs i

Jan. 17, Wolfe 13 MODIS Land Collections Each collection represents an improvement in science quality ReprocessingForward processingCn – Collection Version n C1 C3 C4 C5 Terra Aqua Terra Aqua Terra Aqua Provisional Beta Validated (Stage 1-2)

Jan. 17, Wolfe 14 Land Collection 5 production schedule Terra-only interval reprocessing starts Terra and Aqua C5 forward processing started Complete Terra-only interval from Feb. ’00 to June ’02 (26 3X) Terra and Aqua reprocessing starts Complete year of combined products available Complete Aqua and Combined products from July ’02 to Dec ’06 (108 7X) Sept Jan May 2007 June 2007 Sept Sept. 2008

Jan. 17, Wolfe 15 MODIS Land Collection 5 Changes – Summary Used improved Land/Water mask and new Land Cover map based on 3 years of Collection 4 data Refined surface reflectance by adopting a dynamic aerosol model in atmospheric correction Reduced size and complexity of daily surface reflectance products Improved quality of the Land Surface Temperature by revising the day/night algorithm and improving the detection and filtering of cloud contaminated observations Increased resolution of BRDF/Albedo products to 500m Refined LAI/FPAR LUTs to improve numerical accuracy of the radiative transfer simulations Added fractional snow algorithm in the snow product Burned area product added Improved ancillary data interpolation to remove artifacts in the NPP product Reduced size of all Land products through HDF internal compression

Jan. 17, Wolfe 16 Land C5 Reduced Product Volume MODAPS Production (GB/day) Export Volume (GB/day) LP DAACNSIDC DAAC C4C5C4C5C4C5 L2 – L3 Daily <1 Level 3 8-day <1 Total Reduced size of all Land products through HDF internal compression

Jan. 17, Wolfe 17 C4 to C5 Transition C5 data products are produced using the latest available versions of the science algorithms developed by the MODIS Land Science Team –changes to fix known problems –C5 science improvements C5 product format may have changed from the C4 C5 product quality both at the pixel level and the granule level may differ from the C4 It take 1¾ years to complete the remaining C5 reprocessing –until that time, the full data record will not have been processed into either C4 or C5 So – caution should be used if combining C5 and C4 products –science team members will make specific recomendations

Jan. 17, Wolfe 18 C4 vs. C5 Example – VI

Jan. 17, Wolfe 19 Collection 6? We may not need to reprocess all products for C6 A C6 reprocessing could incorporate –improvements in calibration and geolocation accuracy –essential improvements to science products –changes to product format –recent and new MODIS science products (e.g., Burned Area, MODIS water product) –new merged products from multiple instrument (e.g., MODIS & MISR) C6 would most likely not start until –after C5 reprocessing completes (Sept. ‘08) –until a recompeted science team (round 3) develops and tests any improvements – C5 took more than 2 years The breakout sessions tomorrow will give users an opportunity to discuss with the science team what C6 changes are needed

Jan. 17, Wolfe 20 Questions?