Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit383-03-20021222_053200_20021222_101700-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/12/22 |
Start Time | | 2002/12/22 05:32 |
End Time | | 2002/12/22 10:15 |
Key Words | | Facsko et al 2016: 1-year run of GUMICS |
Model | | GUMICS |
Model Version | | 4-HC |
Validation Level | | 1 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSE |
Dipole Tilt, in the X-Z Plane, at Start deg | | 30.23 |
Dipole Tilt, in Y-Z GSE plane, deg | | 8.89 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 166.40000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit383-03-20021222_053200_20021222_101700-constBx0 |
Minimum Dst Value | | -35 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | NO |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for GOES-10 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxNjozODo0MSBFU1QgMjAxOeQrVJkAAAHMdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODMtMDQtMjAwMjEyMjJfMTAxODAwXzIwMDIxMjIyXzE1MDMwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtMTAgdHJhamVjdG9yeS4iLCAKICAgICJ4YXhpcyI6IHsgImxhYmVsIjoiIiwgIm1pbiI6IjIwMDItMTItMjJUMTA6MTg6MDAuMDAwWiIsICJtYXgiOiIyMDAyLTEyLTIyVDE1OjAxOjAwLjAwMFoiLCAibGVmdCI6NzgsICJyaWdodCI6NzA5LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IlVUQyIgfSwKICAgICJ5YXhpcyI6IHsgImxhYmVsIjoicmhvIiwgIm1pbiI6MC4yMzkxMDQ5OTk1LCAibWF4IjoxLjY0Njk5NTAwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX3VYuw+AAAABGdBTUEAAK/INwWK6QAAIlhJREFUeJzt3XtwFeX5wHFMuARi0xOMxCAJYMpUOoSOGWXIBBAQkItVtE4LchOppUUY6SUX5FZ6gbZTGHWsiU1pxxlRwA4yWkKHaaUdWisDZajUICiXgJaQIAGCBiMcfs9k57dz+u4le87ZNyxnv58/Mu/Zs2cvz7O7z3MuOafLVQAAAPiqy7XeAAAAgFRDgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPrvuG6wuXa77XQCAzqfj4vnWW28NGjSowyXrWDW1AEFz3R+RTicVJxsAuNBxkRwxYsSWLVuuyaq55vuIYPriug9ivE+Vtm3bNmrUqB49euTl5c2ZM6ehocGYfuTIkfvuuy/STgZy031+RTQaLS8vl8dmZ2dXVlbKzdh7m5qa8vPzXTZ1+/btY8eOzcjIkLXMmzfvzJkz7ot1mu60HCMOBi/rjXe6E9uVusTKdn6n1MQbHCLf5X+Z0512yung9yXyOjjt7w033JCbmztt2rSTJ0+6PDyB7T916tSCBQsGDBjQrVs3edTEiRMlaLYbo0yUwVe+8pXYVch48ODBsTOYdx08ePChhx7q3bt39+7d77zzzldffdWYfu7cOdnOQYMG9ezZU9b+wAMP/PnPf+5wm60bk/AMVllZWZcuXUp+1QnQ3RO45FocOHBg0qRJN7aTwTvvvBO7YbanXlzpi/daGvvAZPfcM9oyxXUfjnivEWPGjJEnWM3NzRcuXFi1apUULWN6SUnJ0qVLm9stWbJEbrrPr6iuri4uLj7aTgY1NTWx98ppuXr1apdNHT9+fG1tbUtLy+nTp+fPnz9lyhT3xTpNd1qOUzSc5o93ujtlpe6xss7vlJp4g2MrVJF3OgKddsrp4Pcl8jo47e+VK1c++uijH/zgByNGjHB5eLzb/+GHH/bv318WW1dX9+mnn0rX+8Ybb9x77722G6NMlIG0Sq+//rp512uvvSZTrA3W4cOHpTv81a9+VV9fL73L22+//fWvf924S9b1+OOPywyfffZZY2Pjpk2b7r77bvdttt2YhGdI+CHXXYPlnuv333//5ptvXrt27al269atk5sy0X3DEkhfvNdSl7XrQIOlCG445FLy5JNP5raTgfmsSFIoh2+/fv3kWalx8xe/+EWfPn3k6d0TTzwhR6o529X/fepgXYWUq169ehljGUgVMcbnz583pzvNr5CqL/XPGMugtLTUvEtOyMLCwtbWVo8Hn2xGZmam+2JdVme7HJPLNtjOn8B0K2vD5L7xyvxOqUkmOLZSPvJO2+Blp2IP/iQj//nnny9fvrygoECeeUvfYEx0Od+rqqqktmVkZAwfPvzAgQPGdHmuf8cdd8hEucuoK9aTXdnfc+fO9ezZUwbf+c53fve735nT169fL1Pct982dI899ph0/Lb76PSQ2G3bvHlz7Cpk71599VXrxj/yyCM//elPbVchuyM75bQBsSt1uUhedQi++8Uz3odYr9u2aXU6DGIdOnRIWkzZl6ysrAcffLCpqcnL7rivVA4AWaDML4FKINczZsxYuXJl7JQVK1bMnDlT2TCFx/TFSuBaaj0pYhPRYTDlyclPfvKTAQMGZGdnz5079+LFi8Z061lsXZeXIj5y5MhXXnnF3GB5FpGXlxdvWAIruA2WJG/cuHEn28kzaTlejemSmwceeECej5o3ZbYP28ngRz/6kTldGSjkQFmzZo35SsDDDz8sq5C8yvP1ZcuWyU33+RVydJqHpjwXkWPOvGvy5MkbNmxw2RLF1q1bR48e7b5Yl9XZLsfksg228ycw3UpZaYcbr8zvlJpkgmMr5SMvN3NycqRPGjJkyDPPPHP58mVjeoc7pRz8SUZe2gXZ/g8++ODs2bOLFy82Jrqc71OnTj127Jhsw6pVq8wSIlfhP/zhD3LJlivyvHnznPbXGEiROHXqVEVFhfEKgXQYo0aN2rRpk4w3btwo47a2Nvftt02fbIPUJ9t9dHpI7HVJtmrQoEH/+Mc/5ObOnTtlLFOsFy4pTubb4opJkyZ94xvf+Pvf//7pp586bcZVDxdJl+A7LTPeh1iv27ZpdVpsrKFDh7755puyy3JNWLhw4be+9S3vu2O7UrmqSCQ/ajdhwoQEci05kuM5dorcvOWWW9xj4jF9seK9llofoiSiw2CuXbv2nnvuOXr0qJyt0jJ+//vfN6bbnsXKurwU8T/96U+DBw+WI9+4S87ln//85x6jEXzBbbBuu+22d9991xjLU43CwkJjLLk5fvy4OZvcNGf7z3/+EzubMohldNnylM58Fdd4BdiYLgPz+HOaX5GWlmZco4UM0tPTjfGOHTuGDRtmvDXupcHat2/fwIEDzTPZabFO052WE7sjXtab8HRbyko73HhlfqfUJBwcW2GIvEGakj179kh1MS+L7jtlPfiTjPyXvvQl88UDk8v5Lr2RMf7kk0+Ml6BEfn7+s88+e+LECZf97fK/5Cm4XCKMuxoaGiSMlZWV8tf8bFm8R07Xrl1jS6P1pQLrQ5R7X3jhhfvvv/9q+7tFv/nNb6wzGGtpbW213YDz589LDfvqV7+akZEhAfzhD39o+9S/w4ukS/Cd9j3eh1iv27ZpdVqsE4lAv379vO+O00oPHjxojOWBtrvgnms5VJQcyczyEGVm5VEe0xcr3mup9SFKImLZBvP2229/7733jLGcKXIFNsa2Z7GyLo9F/K677jJegzh8+LBsgKTGdvOuR8FtsOSYMw9ZGchNYyy5UT4W7TSbMlDIwbRy5cqRI0caN6XRXrJkiflBH7npPr9yqjg9kygqKtq1a5d1S5SHG+RZbEFBwe7du80pib1UYF1O7HqtE53mj3e6k3ifdSnzO6XGx1ewQhL5WPX19d4jphz88QZHOdpjT22Ty/luu0f/+te/pk6detNNNw0aNMh8l8RpZmN7li5dGvsZSnk+LTOY71F6iYPilltucemku3XrprzDJfslFTF2NpkhLy/v5Zdflr/mu2zKclxewTLJJVE6pzlz5ti+xN7hRdJj8GPF+xDrdVu5132xseTpgeRR2mXjoDK7inh3J3Z+M1NOn+Vwz7U8/UjgFSyTNX22BcK6qMRewYpNRIfBlDY0tjU0D2Dbs1hZl8civnXr1i9/+cuXL1+ePn26PGuy7sL1K7gNlsdnSLFPzmRgnc14p9mWlA3zsyxyGHX4GazY+RVO74U7PXex2rhxY9++fffu3etlsS5vvdsux2TdAKf5453uQllpvJ/BckqNX5/BCk/kY508eVIqtzH2ErHYgz/JyEtLFNcrWC57JJfpP/7xj2YlU052ZWY5iswXLfbv3y/Plbds2XLrrbear8zFe+RIRaysrFQmmisdPHjw22+/HXvXP//5zwEDBiizrVmzpmvXrubbItYG65FHHlm9erX7lhjkGcgXvvAF6/QOL5JOwXe5eCbwCpaXm15ewZKJL7744scffywlWf5aIxbvseTlFSz3XEtnYP0M1owZM2zX68QpfbZrNHg5Yt1Pig6DKa3PsWPHrIu1PYuVdXlMhJzFRUVFZWVlcnaYHxBMDcFtsOTppvn2rbTYy5YtM6ZbT5IJEyYYHy+QgfWjADfffHNdXZ05/6xZs+RmW1vbiRMnFi5caD5jkCNVVmG8TPLUU0+ZR6rT/Iqqqqpk/ptj7dq1BQUF5kne4WKdpjstx2kbnOaPd7o7ZaUdxsp6EbFNTbzBsRWqyE+bNk0uc3IJk0NaTq5Fixa575TTwZ9k5H/2s5+NHj36yJEjsZ/e8H6+m/si127ZF2mwpO80Jione+xjz5w5s3z58uHDh19t/0iZXND/9re/yfj111+/4447jHd/XLbf9uQ9fvy4rNr8zzLZnTfeeMOc89e//rWs5a9//ev5djt37hwyZMgvf/lLlwVetWuwDh8+LB3kunXrJDKXLl3avXu3+V+Ed99996ZNmxoaGiRHss3z58+fNGmS7TLdL5JOwVfiGctjvpwC6HTTabGxJBqvvfaahEIOIQmFNWLxHksyv/kZrHvvvTeBXL/33ns5OTmSI/O/COWm+YqXU0w8ps8lbl7OOJeT4qqHYD799NMSTFmCnGvvvPPON7/5TWO67VmsrMv7QSLPHmXib3/7W5edvR4FdwdaW1ulABj/gCAD85VG60li/INMdnb2d7/73dj/UzAGUpkikYh5c/PmzUOHDu3evXt+fr4c0NKzG9PlKjZx4sQvtpOj3Hy912l+hfTg0oAb39VUUVER7/eRWF/oamlpcVms03Sn5Vjvcp8/3uke96vDWNnO75SaeIND5I2DuUePHvJUUq595jnltFNOB3+SkZdyIo1yv3795JyVUmRM9H6+G4NXXnlFnltnZGRIe/Tmm28aE5WTPTYCvXv3vv/++42DZ/bs2cYHngyyDXPnznXf/i4OJ299ff1jjz0mpbdr16433XTTgw8++NZbb5nR+P3vf3/nnXcah64MXnzxxQ4X2MVS4a62/yeyLFm2SnJx1113md+D9Ze//EWmSxglDgMHDnziiSdsL1BdOrpIOgVfiWcsj/ly2l+nm06LjbVt2zZJfbdu3eQpx7PPPmuNWLzHkszw7W9/W4IjIfrxj38sS7bdBZdci3//+99ymcpsJ13a/v37Y1dkez56TJ/tQoyJXs4460kRVzCvXLki02+//Xa5bsgThq1btxrTbc9iZV3eDxI5pAcNGvT5558ru+wUjevFdb8DAAAXKVCoOo30SdLrXOutuMYuX75sfkK/c3zta197+eWXO3ONnYMTDwBSGQ1WhxYvXnzq1Knjx4/fc8893/ve96715lxje/bsMf9bULcrV6688MILRUVF5jc1pBJOPCTL+gJ4AC/o18VGxisldwq+46jo0NNPP92vX78+ffo8/vjjqfQ1AYm58cYbn3/++c5ZlxycAwYMkJauc1bXyTjxAAAAfEaDBQAA4DMaLAAAAJ/RYAEAAPiMBgsAAMBnNFgAAAA+C0uDZfsP7QAAwC/XutQHS1jCQeIBANCHOqsISzhIPAAA+lBnFQEKh5fXGPfv3z9hwoTMzMy+ffuuX78+roUnvYEAAMAedVYRuHC4ZOjQoUP5+fkvvfTS2bNn6+vrp0+f7stiAQBAkqizisCFwyVD0lE999xzvi8WAAAkiTqrCFw4XDKUm5u7fPnyvLy83r17z549u7m52ZfFAgCAJFFnFYELh0uG0tPTZ86cebrdtGnTHn30Uetj+fdRAAA6H3VWEbhwuGQoKyursbHRGEuPlZOT48tiAQBAkqizisCFwyVDI0aMkL7KGDc0NNBgAQAQENRZReDCYc2QOWX9+vUzZsww3yKcO3duMosFAAB+oc4qAhQOp49MxY5XrFiRk5OTnZ09a9YsPuQOAEBAUGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFakcDn7sGQCAzkGdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVUEKBwevxG0qakpPz8/3kSSeAAA9KHOKgIXjg4ztGDBgtWrV9NgAQAQHNRZReDC4Z6hurq6wsLC1tZWGiwAAIKDOqsIXDjcMzR58uQNGzZ0OFu8iwUAAMmgzioCFw6XDO3YsWPYsGHRaNRpti6uNG40AADhRp1VBC4cLhkqKiratWtXh7PFu1gAAJAk6qwicOFwyVAyL0qReAAA9KHOKgIXDmuGnN4NTHKxAADAL9RZRYDC4fTqFA0WAAABR51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVaRyOPixZwAAOgd1VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRoHB0+I2g27dvHzt2bEZGRl5e3rx5886cORPXwv3YRgAAYIM6qwhcOFwyNH78+Nra2paWltOnT8+fP3/KlCm+LBYAACSJOqsIXDg8ZujChQuZmZm+LxYAACSAOqsIXDg8Zmjr1q2jR4/2fbEAACAB1FlF4MLhJUP79u0bOHDgoUOHrI91oWd7AQAADZYqcOHoMEM7d+4sKCjYvXu3v4sFAAAJo84qAhcO9wxt3Lixb9++e/fu9XexAAAgGdRZReDCYc2QOWXt2rUFBQUHDx70ZbEAAMAv1FlFgMLh9JEpc2z9WFVLS4v3hfu/xQAAoB11VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4SDwAAPpQZxVhCQeJBwBAH+qsIizhIPEAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVaRyuHgx54BAOgc1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRYDC0eE3gkaj0fLy8kgkkp2dXVlZKTfjWrgf2wgAAGxQZxWBC4dLhqqrq4uLi4+2k0FNTY0viwUAAEmizir8D0dra+uyZcsKCwszMjLk74oVKy5duhTHBjlnqKSkpLa21hjLoLS01JfFAgCAJFFnFf6HY9GiRWPHjj1w4IB0WvJ3zJgxTz75ZBwb5JyhrKyspqYmY9zY2BiJRHxZLAAASBJ1VuF/OHJzc0+ePGnelLFMiWODnDOUlpbW1tZmjGWQnp5ufayLeHYCAADEgTqruJ4aLF7BAgAgmKizCi1vEY4bN+7dd99tbW2VvzL26y1CPoMFAEAwUWcVWj7kvnTp0ttuuy0jI0P+Ll++PMkPuZtTqqqq+C9CAAACiDqrCFA4nD4yZY6j0WhZWVmkXUVFBd+DBQBAQFBnFWEJB4kHAEAf6qzC/3AcOHCgtLS0Z8+egfoPviBsAwAAqYo6q/A/HMOHD1+1atUnn3zi+5KTQeIBANCHOqvwPxwZGRkXL170fbFJIvEAAOhDnVX4H47+/fsfO3bM98UmicQDAKAPdVbhfzief/75qVOnnjp1yvclJ4PEAwCgD3VW4U843H+jJghBD8I2AACQqqizirCEg8QDAKAPdVbhfzhuuOEG35eZmKC9igYAQKqizir8D8ett9763//+1/fFJonEAwCgD3VW4X841q1b99BDDx0/fjyun7LRjcQDAKAPdVbhfzj4kDsAAGFDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhKOKLRaHl5eSQSyc7OrqystP2KhyNHjtx3332RdjKQm96XT+IBANCHOqsISjiqq6uLi4uPtpNBTU2NdZ6SkpKlS5c2t1uyZInc9L58Eg8AgD7UWUVQwiHdUm1trTGWQWlpqXWeXr16XbhwwRifP39ebnpfPokHAEAf6qwiKOHIyspqamoyxo2NjZFIxDrPww8/vGLFinPnzjU3Ny9btkxuel8+iQcAQB/qrCIo4UhLS2trazPGMkhPT7fO8+GHH/bv39/4angZfPTRR8oMtl8iH5xvkwcAIFVRZxVBCYeXV7DGjRu3ZMkS8zNYctP78kk8AAD6UGcVQQmHl89g9ezZk89gAQAQQNRZRVDCUVVV5fRfhGbOpAlbtmyZ8QrWU089ZduEOSHxAADoQ51VBCUc0Wi0rKzM+I6rioqK2O/BMnN2+PDhiRMnfrHdpEmTPvjgA+/LJ/EAAOhDnVWEJRwkHgAAfaizirCEg8QDAKAPdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VpHI4+LFnAAA6B3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGUcESj0fLy8kgkkp2dXVlZKTdtZ9u/f/+ECRMyMzP79u27fv1678sn8QAA6EOdVQQlHNXV1cXFxUfbyaCmpsY6z6FDh/Lz81966aWzZ8/W19dPnz7d+/JJPAAA+lBnFUEJR0lJSW1trTGWQWlpqXUe6aiee+65xJZP4gEA0Ic6qwhKOLKyspqamoxxY2NjJBKxzpObm7t8+fK8vLzevXvPnj27ubnZ+/JJPAAA+lBnFUEJR1paWltbmzGWQXp6unUemThz5szT7aZNm/boo48qM3RxpX0fAAAIK+qsIijh8PIKlswjdxlj6bFycnK8L5/EAwCgD3VWEZRwePkM1ogRI6SvMsYNDQ00WAAABAR1VhGUcFRVVTn9F6GZs/Xr18+YMcN8i3Du3Lnel0/iAQDQhzqrCEo4otFoWVlZpF1FRUXs92DF5mzFihU5OTnZ2dmzZs3iQ+4AAAQEdVYRlnCQeAAA9KHOKsISDhIPAIA+1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWkcrh4MeeAQDoHNRZRVjCQeIBANCHOqsISzhIPAAA+lBnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVQwhGNRsvLyyORSHZ2dmVlpdx0mrOpqSk/Pz/eRJJ4AAD0oc4qghKO6urq4uLio+1kUFNT4zTnggULVq9eTYMFAEBwUGcVQQlHSUlJbW2tMZZBaWmp7Wx1dXWFhYWtra00WAAABAd1VhGUcGRlZTU1NRnjxsbGSCRiO9vkyZM3bNhwNf5EkngAAPShziqCEo60tLS2tjZjLIP09HTrPDt27Bg2bJjx8SzbRHZxpXX7AQAIM+qsIijh8PIKVlFR0a5du4wxr2ABABAc1FlFUMLh5TNYybwoReIBANCHOqsISjiqqqqc/ovQ6d3AuJZP4gEA0Ic6qwhKOKLRaFlZWaRdRUVF7Pdg0WABABBw1FlFWMJB4gEA0Ic6qwhLOEg8AAD6UGcVYQkHiQcAQB/qrCIs4SDxAADoQ51VhCUcJB4AAH2os4qwhIPEAwCgD3VWEZZwkHgAAPShzirCEg4SDwCAPtRZRSqHgx97BgCgc1BnFWEJB4kHAEAf6qwiLOEg8QAA6EOdVYQlHCQeAAB9qLOKsISDxAMAoA91VhGWcJB4AAD0oc4qwhIOEg8AgD7UWUVYwkHiAQDQhzqrCEs4ugAAAJ2udakPFsKRoM45kjphLexIoFbROWthR4K2FnYkUKvonLWwIymPuCSIcyNoa0mNVXTOWtiRoK2FHQnUKjpnLexIyiMuCeLcCNpaUmMVnbMWdiRoa2FHArWKzlkLO5LyiEuCODeCtpbUWEXnrIUdCdpa2JFAraJz1sKOpDziEnacG0FDRoKGjAQK6QgaMuKEuIQd50bQkJGgISOBQjqChow4IS5hx7kRNGQkaMhIoJCOoCEjTohL2HFuBA0ZCRoyEiikI2jIiBPiEnacG0FDRoKGjAQK6QgaMuKEuAAAAPiMBgsAAMBnNFgAAAA+o8ECAADwGQ0WAACAz2iwAAAAfEaDBQAA4DMarFTT5f95nG6KRqPl5eWRSCQ7O7uyslJuuk+HR7aR3759+9ixYzMyMvLy8ubNm3fmzBnrA8mIJrYZ2bZt26hRo3r06CEZmTNnTkNDg/WBZEQHl0tTU1NTfn6+01WLdGhim5Eu/8v2gWREQYOVmpxOAJcGq7q6uri4+Gg7GdTU1LhPR1yUyI8fP762tralpeX06dPz58+fMmWK9SFkRCslI2PGjNmyZUtzc/OFCxdWrVol7a/1IWREH9tL04IFC1avXu101SIdWlkbrA4fQkYUNFipyXuDZU4pKSmRkm+MZVBaWuo+HXFxuTxJRc/MzLTOSUa0csmINL69evWyzklG9LGmo66urrCwsLW11anSkw6tvDdYZMQJDVZqSqDBysrKampqMsaNjY2RSMR9OuLicnnaunXr6NGjrXOSEa2cMnLx4sU1a9bEvqZIRjqBNR2TJ0/esGGD9S7S0TmsYc/JyZEnHkOGDHnmmWcuX75snZOMKGiwUlMCbxGmpaW1tbUZYxmkp6e7T0dcnCK/b9++gQMHHjp0yHoXGdHKNiPG50v69Onz/vvvW+8lI/oo6dixY8ewYcOMD+s4nTukQyvbsF+6dGnPnj2lpaWLFy+23ktGFDRYqSmBBosnH1rZRn7nzp0FBQW7d++2fQgZ0crpXDh//vzKlStHjhxpvYuM6KOko6ioaNeuXbZ3mUiHVi7For6+3jaqZERBg5WaEmiwePtcK2vkN27c2Ldv37179zo9hIxo5XIuSI8V+6k4ExnRx/1/1myTRTq0cjlBTp48mZuba51ORhQ0WKkpgc9gVVVV2f6jh9N0xEWJ/Nq1awsKCg4ePOgyJxnRSsnIrFmz6urq2traTpw4sXDhQtvPYJERfbx8hlq5STq0UsI+bdq0AwcOfPbZZ3KajBs3btGiRdY5yYiCBivVOD3tc5luDKLRaFlZWaRdRUVF7FeY2E6HR7aRtz5Bb2lpMe8yBmREE9uMbN68eejQod27d8/Pz58/f/7HH38cO78xICM6dPhKlVODRTo0cTlBevToUVhYuHTp0tbW1tj5jQEZUdBgAQAA+IwGCwAAwGc0WAAAAD6jwQIAAPAZDVZKcfoJ4Xh/g9PLTxEbbD+a6vHhTrN5XzsAAMFEg5VSnH5CON7f4PTyU8SxlAbL48OdZot37QAABA0NVsqK/QnhZL7/TfkpYlsu32Hj5eEus3l8OAAAgUKDlbJif0I4mV8wUH6K2JZLg+Xl4S6zeXw4AACBQoOVmpSfEE74Nzhdfoo4llOD5fHhTrN5fDgAAEFDg5WCrD8hnNgrWNblOH3bsm2D5fHhTj947P5DyAAABBkNVqqx/QnhBD6D1eFPEceyNlgeH+40W1xrBwAgaGiwUorTTwjH+xucLj9FbKuL518y9jJbvGsHACBoaLBSitNPCMf7G5wuP0Xsvsa4Hu40m/e1AwAQTDRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8BkNFgAAgM9osAAAAHxGgwUAAOAzGiwAAACf0WABAAD4jAYLAADAZzRYAAAAPqPBAgAA8Nn/Af7L5Ci0j4GgAAAAAElFTkSuQmCC)
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