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Improving monitoring of tropical forests and their characterizations in NCEP models using GOES-R ABI land products data

Improving monitoring of tropical forests and their characterizations in NCEP models using GOES-R ABI land products data Yuhong Tian (IMSG/NOAA) Liming Zhou (SUNY) Peter Romanov (CREST) Bob Yu (STAR/NESDIS) Michael Ek (EMC/NCEP) September 21-23, 2011. Objectives.

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Improving monitoring of tropical forests and their characterizations in NCEP models using GOES-R ABI land products data

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  1. Improving monitoring of tropical forests and their characterizations in NCEP models using GOES-R ABI land products data YuhongTian (IMSG/NOAA) Liming Zhou (SUNY) Peter Romanov (CREST) Bob Yu (STAR/NESDIS) Michael Ek (EMC/NCEP) September 21-23, 2011

  2. Objectives • To improve the accuracy of land cover map and green vegetation fraction (GVF) dataset over tropical areas (Amazon and Central Africa) in NCEP models using GOES-R ABI data • To assess impacts of the improved land products on the accuracy of numerical weather forecasting and climate modeling

  3. Technical Approaches • Task 1: Processing SEVIRI data to create daily NDVI, GVF, LSWI, LST products (2007 ~ 2011) • NDVI = (RNIR-RRED)/(RNIR+RRED) • LSWI = (RNIR-RSWIR)/(RNIR+RSWIR) • Task 2: Analyzing variations of vegetation seasonal change in wet- and dry-seasons • Task 3: Analyzing vegetation’s response to drought • Task 4: Mapping land cover types • Task 5: Assessing impacts of the newly developed vegetation type and GVF daily dataset on forecasting from NCEP global forecast system model • Off-line Noah LSM with atmospheric forcing • GFS tests coupled with the Noah LSM

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