land cover changes in COSMO-CLM – in #11: EXTPAR / WebPEP

in #11: EXTPAR / WebPEP

<p> Hi Burkhardt, <br/> thank you very much for your suggestion. <br/> Firstly, I followed the <span class="caps"> CORDEX </span> -EU settings. The land cover dataset is from GLC2000. Because I found that the new version of <span class="caps"> COSMO </span> has not joined the <span class="caps"> CORDEX </span> -EU. Then, our findings can contribute to the <span class="caps"> CORDEX </span> -EU project. <br/> Then, I found that for bare land grid (e.g., Sahara desert)， <br/> PLCOV_MN = 0.02 <br/> PLCOV_MX = 0.05 <br/> LAI_MN = 0.4 <br/> LAI_MX = 0.6 <br/> Z0 ~= 0.05 <br/> EMIS_RAD = 0.95 <br/> RSMIN = 150 <br/> FOR_D = 0 <br/> FOR_E = 0 <br/> ROOTDP = 0.3 <br/> NDVI_MAX = 0.11~0.13 <br/> NDVI = 0.11~0.13 <br/> NDVI_MRAT = ~0.98 </p> <p> We try to replaced these parameters of a specific forested grid (if (maximum LU_CLASS_FRACTION &lt;=9)) with that from a representative bare land grid. This is only one case. We also want to change forest to grass. The approach is the same. Changing the parameters of forested girds with that from a grass land grid. I am not sure this is a correct method or not. Maybe the soil experts have comment on it. Looking forward your reply. </p> <p> Greetings, <br/> Bo </p>

  @bohuang in #4064a15

<p> Hi Burkhardt, <br/> thank you very much for your suggestion. <br/> Firstly, I followed the <span class="caps"> CORDEX </span> -EU settings. The land cover dataset is from GLC2000. Because I found that the new version of <span class="caps"> COSMO </span> has not joined the <span class="caps"> CORDEX </span> -EU. Then, our findings can contribute to the <span class="caps"> CORDEX </span> -EU project. <br/> Then, I found that for bare land grid (e.g., Sahara desert)， <br/> PLCOV_MN = 0.02 <br/> PLCOV_MX = 0.05 <br/> LAI_MN = 0.4 <br/> LAI_MX = 0.6 <br/> Z0 ~= 0.05 <br/> EMIS_RAD = 0.95 <br/> RSMIN = 150 <br/> FOR_D = 0 <br/> FOR_E = 0 <br/> ROOTDP = 0.3 <br/> NDVI_MAX = 0.11~0.13 <br/> NDVI = 0.11~0.13 <br/> NDVI_MRAT = ~0.98 </p> <p> We try to replaced these parameters of a specific forested grid (if (maximum LU_CLASS_FRACTION &lt;=9)) with that from a representative bare land grid. This is only one case. We also want to change forest to grass. The approach is the same. Changing the parameters of forested girds with that from a grass land grid. I am not sure this is a correct method or not. Maybe the soil experts have comment on it. Looking forward your reply. </p> <p> Greetings, <br/> Bo </p>
BH replied

Hi Burkhardt,
thank you very much for your suggestion.
Firstly, I followed the CORDEX -EU settings. The land cover dataset is from GLC2000. Because I found that the new version of COSMO has not joined the CORDEX -EU. Then, our findings can contribute to the CORDEX -EU project.
Then, I found that for bare land grid (e.g., Sahara desert)，
PLCOV_MN = 0.02
PLCOV_MX = 0.05
LAI_MN = 0.4
LAI_MX = 0.6
Z0 ~= 0.05
EMIS_RAD = 0.95
RSMIN = 150
FOR_D = 0
FOR_E = 0
ROOTDP = 0.3
NDVI_MAX = 0.11~0.13
NDVI = 0.11~0.13
NDVI_MRAT = ~0.98

We try to replaced these parameters of a specific forested grid (if (maximum LU_CLASS_FRACTION <=9)) with that from a representative bare land grid. This is only one case. We also want to change forest to grass. The approach is the same. Changing the parameters of forested girds with that from a grass land grid. I am not sure this is a correct method or not. Maybe the soil experts have comment on it. Looking forward your reply.

Greetings,
Bo

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