| 63 | | In a recent paper (see reference below) B. Poulter has proposed a method to convert satellite land cover products (GLC2000, Globcover, MODIS) into PFT maps, using Köppen-Geiger bioclimatic zones. [[BR]] |
| 64 | | N. Macbean and B. Poulter have updated the cross-walking approach based on discussions with the Globcover team in July 2012 at UCL. [[BR]] |
| 65 | | The new land cover CCI should be available at end of 2012 for use with ORCHIDEE. [[BR]] |
| 66 | | B. Poulter has developed tools to do conversions at any spatial resolution. N. Macbean has equivalent tools in python. Please contact them directly to know more about this. The objective is to have these tools available later for everybody under the TOOLS directory. [[BR]] |
| 67 | | Poulter, B., Ciais, P., Hodson, E., Lischke, H., Maignan, F., Plummer, S. & Zimmerman, N. E. (2011). Plant functional type mapping for earth system models. Geoscientific Model Development, 4, 993–1010, doi:10.5194/gmd-4-993-2011 |
| | 63 | ESA CCI Land Cover dataset (https://www.esa-landcover-cci.org/) is used to produce PFT maps for the ORCHIDEE model. Transformation of initial data is done in the following steps: |
| | 64 | |
| | 65 | 1. Aggregation ESA CCI LC (300 m) → Generic PFTs (given resolution), using: |
| | 66 | - aggregation tool "lc-user-tools" (v4.3, release 03/12/2018) |
| | 67 | - yearly ESA CCI land cover map v2.0.7b (1992-2015) or v2.1.1 (2016-2019) at 300 m resolution with 38 land cover classes |
| | 68 | - static Köppen-Geiger climate zone map at 300 m resolution grouped into 5 climate zones |
| | 69 | - original data: http://dx.doi.org/10.5194/hess-11-1633-2007 |
| | 70 | - method of grouping climate zones: http://dx.doi.org/10.5194/gmd-4-993-2011 |
| | 71 | - cross-walking table (v2.4) matching ESA CCI classes with generic PFTs |
| | 72 | - additional cross-walking table (v2.4) refining the conversion of several ESA CCI classes depending on climate zone |
| | 73 | |
| | 74 | 2. Aggregation Generic PFTs (given resolution) → ORCHIDEE PFTs (given resolution), using: |
| | 75 | - python script "gen2orc.py": link |
| | 76 | - yearly Generic PFT maps (1992-2019) |
| | 77 | - static Köppen-Geiger climate zone map (Rubel et al., 2017) for splitting trees |
| | 78 | - static C3/C4-partitioning map (C. Still et al., 2018) for splitting grasses |
| | 79 | - yearly land-use maps (LUH2-GCB2022) for splitting crops |
| | 80 | - static water bodies map (ESA CCI WB v4.0) for splitting inland/coastal waters and defining land-sea mask |
| | 81 | |
| | 82 | 3. Merge ORCHIDEE PFTs (2010, 0.25°) + LUH2 (850-2022, 0.25°), using: |
| | 83 | - python script "mergeLUH.py": link |
| | 84 | - single ORCHIDEE PFT map for 2010 (0.25°) |
| | 85 | - yearly land-use dataset (850-2022, 0.25°, LUH2-GCB2022) |
| | 86 | - static Köppen-Geiger climate zone map (Rubel et al., 2017) for splitting trees |
| | 87 | - static C3/C4-partitioning map (C. Still et al., 2018) for splitting grasses |
| | 88 | - static water bodies map (ESA CCI WB v4.0) for defining land-sea mask |
| | 89 | |
| | 90 | The full description, comparison plots and production scripts are available on the devoted web-page: https://orchidas.lsce.ipsl.fr/dev/lccci |
