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CLIP – Linkages between Land Cover and Regional Climate

CLIP – Linkages between Land Cover and Regional Climate. Jiaguo Qi presenting on behalf of the LC Group (Alphabetically: Jianjun Ge, David Lusch, Joseph Maitima Jennifer Olson, Robin Reid, Nathan Torbick, Jing Wang, Lijian Yang) Michigan Sate University. LC Objectives.

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CLIP – Linkages between Land Cover and Regional Climate

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  1. CLIP – Linkages between Land Cover and Regional Climate Jiaguo Qi presenting on behalf of the LC Group (Alphabetically: Jianjun Ge, David Lusch, Joseph Maitima Jennifer Olson, Robin Reid, Nathan Torbick, Jing Wang, Lijian Yang) Michigan Sate University

  2. LC Objectives • To assess land use/cover change impact on regional climate • To better characterize LC as input to regional climate model (RAMS) • To quantify the LC requirement for regional climate modeling. Specifically to assess the effect of land cover classification accuracy on regional climate simulation. This links the human land use to the regional climate • To assess the degree of LCC impact on regional climate • Categorical changes • Continuous changes

  3. Data • LU/C • GLC2000, Africover, IGBP, MODIS • Biophysical Variables • LAI, EVI, DEM, Albedo, LST, and Precip. etc. • Scales • Continental – Case Study/Field-Observations

  4. Nairobi LULC products range in data sources, objectives, classification methods

  5. Assessments and Developing LULC Scheme • Multiple LULC assessments and evaluations • Strengths and weaknesses • Videography over selected ecological gradients • Q-statistic (uses LAI as ‘evaluator’) • Develop LULC Schemes for models • Create hybrid CLIP Cover • LU from Africover, LC from GLC2000 • Crosswalk to LEAF2, biophysical variables

  6. Aquatic grasslands Rainfed herbaceous Bare rock Urban LU/C Videography Assessment Sample Points

  7. LAI from MODIS June 2001 March 2001 Sept 2001 Dec 2001

  8. Climate Model • In this study, Regional Atmospheric Modeling System (RAMS) Version 4.3 is used (Pielke et al., 1992). • It is fully three-dimensional, nonhydro-static; includes interactive nested grid capabilities, supports various radiation, initialization and boundary condition schemes.

  9. RAMS MODEL • Biophysical Parameters • Land – Atmosphere Feedback • Crosswalk to Predetermined Defaults • Albedo • Leaf Area Index • Range of Leaf Area Index • Vegetation Fraction • Range of Vegetation Fraction RS LULC Methods Simulations

  10. Land Cover Conversion or Classification Accuracy

  11. Experiment Design • Classification error was added to original GLC2000 dataset at random locations and by random predominant (five) classes, which was increased from 0% to 50% at 5% interval • RAMS was run 11 times with different amount of errors in land cover. These runs are called R00, R05, R10, …., R50.

  12. Land Cover Change – Continuous Change

  13. Leaf Area Index • LAI in RAMS was further improved by incorporating directly monthly 1km MODIS LAI images. • LAI values were reduced to 50% at 5% rate. 11 runs were conducted. • Kain-Fritsch without interior nudging were used.

  14. RAMS new March 15th MODIS RAMS default

  15. Phenology at 0o, 5oNorth and 5o South

  16. THANK YOU • Questions?

  17. DEM

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