Research Article
The Advantage of Using International Multimodel Ensemble for Seasonal Precipitation Forecast over Israel
Table 7
Possible models combinations and their rank in the northern part of the domain and lead one forecast.
| | 
 |  |  |  | Rank |  | 
 |  |  | 0.682 | 1 |  |  | 0.681 | 2 |  |  | 0.680 | 3 |  |  | 0.680 | 4 |  |  | 0.680 | 5 |  |  | 0.679 | 6 |  |  | 0.679 | 7 |  |  | 0.679 | 8 |  |  | 0.678 | 9 |  |  | 0.678 | 10 |  |  | 0.678 | 11 |  |  | 0.678 | 12 |  |  | 0.678 | 13 |  |  | 0.678 | 14 |  |  | 0.678 | 15 |  |  | 0.677 | 16 |  |  | 0.677 | 17 |  |  | 0.677 | 18 |  |  | 0.676 | 19 |  |  | 0.676 | 20 |  |  | 0.675 | 21 |  |  | 0.675 | 22 |  |  | 0.675 | 23 |  |  | 0.675 | 24 |  |  | 0.675 | 25 |  |  | 0.675 | 26 |  |  | 0.674 | 27 |  |  | 0.674 | 28 |  |  | 0.674 | 29 |  |  | 0.674 | 30 |  |  | 0.674 | 31 |  |  | 0.673 | 32 |  |  | 0.673 | 33 |  |  | 0.673 | 34 |  |  | 0.673 | 35 |  |  | 0.672 | 36 |  |  | 0.672 | 37 |  |  | 0.672 | 38 |  |  | 0.671 | 39 |  |  | 0.671 | 40 |  |  | 0.671 | 41 |  |  | 0.671 | 42 |  |  | 0.671 | 43 |  |  | 0.671 | 44 |  |  | 0.671 | 45 |  |  | 0.670 | 46 |  |  | 0.670 | 47 |  |  | 0.670 | 48 |  |  | 0.670 | 49 |  |  | 0.670 | 50 |  |  | 0.670 | 51 |  |  | 0.669 | 52 |  |  | 0.669 | 53 |  |  | 0.669 | 54 |  |  | 0.669 | 55 |  |  | 0.669 | 56 |  |  | 0.668 | 57 |  |  | 0.668 | 58 |  |  | 0.668 | 59 |  |  | 0.668 | 60 |  |  | 0.668 | 61 |  |  | 0.668 | 62 |  |  | 0.668 | 63 |  |  | 0.667 | 64 |  |  | 0.667 | 65 |  |  | 0.667 | 66 |  |  | 0.667 | 67 |  |  | 0.667 | 68 |  |  | 0.667 | 69 |  |  | 0.666 | 70 |  |  | 0.666 | 71 |  |  | 0.666 | 72 |  |  | 0.666 | 73 |  |  | 0.664 | 74 |  |  | 0.664 | 75 |  |  | 0.664 | 76 |  |  | 0.664 | 77 |  |  | 0.663 | 78 |  |  | 0.663 | 79 |  |  | 0.663 | 80 |  |  | 0.663 | 81 |  |  | 0.662 | 82 |  |  | 0.662 | 83 |  |  | 0.661 | 84 |  |  | 0.661 | 85 |  |  | 0.661 | 86 |  |  | 0.661 | 87 |  |  | 0.661 | 88 |  |  | 0.660 | 89 |  |  | 0.660 | 90 |  |  | 0.659 | 91 |  |  | 0.659 | 92 |  |  | 0.659 | 93 |  |  | 0.658 | 94 |  |  | 0.658 | 95 |  |  | 0.657 | 96 |  |  | 0.657 | 97 |  |  | 0.656 | 98 |  |  | 0.656 | 99 |  |  | 0.656 | 100 |  |  | 0.654 | 101 |  |  | 0.654 | 102 |  |  | 0.653 | 103 |  |  | 0.652 | 104 |  |  | 0.652 | 105 |  |  | 0.652 | 106 |  |  | 0.651 | 107 |  |  | 0.651 | 108 |  |  | 0.651 | 109 |  |  | 0.650 | 110 |  |  | 0.648 | 111 |  |  | 0.647 | 112 |  |  | 0.647 | 113 |  |  | 0.645 | 114 |  |  | 0.645 | 115 |  |  | 0.642 | 116 |  |  | 0.640 | 117 |  |  | 0.637 | 118 |  |  | 0.633 | 119 |  |  | 0.630 | 120 |  |  | 0.628 | 121 |  |  | 0.627 | 122 |  |  | 0.626 | 123 |  |  | 0.616 | 124 |  |  | 0.608 | 125 |  |  | 0.598 | 126 |  |  | 0.571 | 127 |  | 
 | 
 | 
| : combination  corresponds to models [CFSv2, CMC1, CMC2, GFDL, NASA, NCAR, ECMWF], respectively. 
 |