| 48 | |
| 49 | https://docs.google.com/spreadsheets/d/1iZ7F_KBu0kbY1iZ53fMW_QObwQf141kPkxpf6Zj5OvA/edit?usp=sharing |
| 50 | |
| 51 | |
| 52 | https://docs.google.com/spreadsheets/d/1P0D7CIf6782coBppnRCybwfjcg4bkjVmUuqd81gPtWU/edit?usp=sharing |
| 53 | |
| 54 | Message de Karl Taylor sur la normalisation des variabes: |
| 55 | |
| 56 | All variables are considered to be in a "Category A" except the following Category B variables, which are either: |
| 57 | |
| 58 | - intensive in area and quantify the area of a particular type (e.g., sea_ice_area_fraction), or |
| 59 | - extensive in area (e.g., sea_ice_volume, sea_ice_mass) |
| 60 | |
| 61 | The time mean of category A variable is calculated as follows: |
| 62 | |
| 63 | Amean = sum_over_time (f_n * H_n) / sum_over_time (f_n) |
| 64 | |
| 65 | where n is a time sample and f is the fraction of the cell where H exists. |
| 66 | For category B: |
| 67 | |
| 68 | Bmean = sum_over_time H_n / N |
| 69 | |
| 70 | where N is the number of time samples. |
| 71 | |
| 72 | Note that when H exists over the entire grid cell (i.e., isn't restricted to a portion of the cell), f_n = 1, and Amean = Bmean. |
| 73 | |
| 74 | For the cases you mentioned in your email: |
| 75 | |
| 76 | albedo over snow-covered surface: we will need to confirm, but this would be a category B variable defined only over the portion of the cell with snow. |
| 77 | |
| 78 | LAI: Since it is an index it might be defined even over the ocean, but we need to check. |
| 79 | |
| 80 | |
| 81 | |