Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit256-04-20020223_061600_20020223_110100-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/02/23 |
Start Time | | 2002/02/23 06:16 |
End Time | | 2002/02/23 10:59 |
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 | | 15.78 |
Dipole Tilt, in Y-Z GSE plane, deg | | -12.42 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 184.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit256-04-20020223_061600_20020223_110100-constBx0 |
Minimum Dst Value | | -13 |
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-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIERlYyAxMyAyMToxMTo1NCBFU1QgMjAxN2R4PiEAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQyNTYtMDQtMjAwMjAyMjNfMDYxNjAwXzIwMDIwMjIzXzExMDEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIEdPRVMtOCB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0wMi0yM1QwNjoxNjowMC4wMDBaIiwgIm1heCI6IjIwMDItMDItMjNUMTA6NTk6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjI3Mzc0NTk5OTUsICJtYXgiOjIuNjU3OTc0MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfYuQG3UAAAAEZ0FNQQAAr8g3BYrpAAA0oUlEQVR4nO3df3wU9Z34cQlIQhLjghECBgwCFrxAU4p9gEQMGDQqWrSpTUEwVizYgua8AFFQ4c4fuat4sVVJj+jh48GViDw0ZwPYe+Sa62kbbTiiRQkaNWL0IgQbZW2DLML3fZm7+W53dza7yWRnsu/X8488Zifz4/P5vGf3/d7Z2dkzTgMAAMBWZzjdAAAAgHhDgQUAAGAzCiwAAACbUWABAADYjAILAADAZhRYAAAANqPAAgAAsBkFFgAAgM0osAAAAGxGgQUAAGAzCiwAAACbUWABAADYjAILAADAZhRYAAAANqPAAgAAsBkFFgAAgM0osAAAAGxGgQUAAGAzCiwAAACbUWABAADYjAILAADAZhRYAAAANqPAAgAAsBkFFgAAgM0osAAAAGxGgQUAAGAzCiwAAACbUWABAADYjAILAADAZhRYAAAANov/AuuMM+K/jwBgu/548fzd7343adKkHrfcH7smFyDG4v+As3pS8WQDgDD640UyNzf3+eefd2TXvOb3AoPWF/E/dtG+VdqzZ8+8efOSkpJGjx596623Hj161FzMn/8qr7/++hVXXJGSkjJmzJinnnoq5F5OnTq1Zs0aj8czfPjwsrIyeej/346OjrFjx4ZpqlWrrDZrNT/a7VgtbzV/165dc+bMSUxMlPk333zzJ598Embkw4yJ1ZCGHH+r5aMdHD0jH2YkQ84PM2JRLR/VyPeHgHaajR80aNCoUaOKiora2trCrN6L9re3t//oRz/Kyso688wzZa2CggKJVMjGBMyUiYsuush/FzI9ZcoU/wXMfzU3N99www0jRowYOnTojBkznnvuOWP+Z599Ju2cNGnSsGHDZO/f/va36+rqemxzcGN6vUCwtLS048eP933XvdDftUKYWIv9+/dfddVVqd1k4g9/+IN/w0Lml8jD99577y1YsMDTTSbkYfAysSyVKMsM8T8K0b5GzJ8/f/fu3V6v9/Dhw8uXL7/mmmvCb+ftt9+W2mjbtm1//OMfDx069P3vfz/kYpWVldOnT3+/m0xs2bLF/7/ytHzooYfCNNWqVVabtZof7XaslreaP3fuXHl72tnZeezYsY0bN0opYNWjMDvtcUgDBspq+WgHR8/IW42k1fweRyzC5aMa+f4QXGAZE1999dXHH3/8N3/zN7m5uWFWj7b9H3300fnnny+bPXDgwJ///Gephn/5y19eeeWVIRsTMFMmpFR68cUXzX+98MILMie4wHrnnXekOnzkkUfk4Jfa5dVXX/3Od75j/Ev2ddttt8kCX3755ZEjR5599tnLLrssfJtDNqbXC/R6lQFXYIWPdUtLy7nnnrtp06b2bo8++qg8lJnhGxZ5+GbNmrVu3brObnfffbc8DF6GAiv2BvAoyEvJnXfeOaqbTJjviiS0cvhmZmbKu1Lj4d///d+PHDlS3t79+Mc/liPVXOz0X751CN6F5KqUlBT/5YNJOn/88cd7bK0c8ZIXjWmZmD17tvkveUJOmDChq6srwoPSv1VWmw2zu6i2Y7V8JPOlCEhOTg7TEaud9jikAQNltXxfBiekuBl5U4QFVo+NjHD5CEfe5/Pde++948aNk7fjUjcYM8M83zdv3iy5LSkpaebMmfv37zfmy3v9b3zjGzJT/mVUQsFP9oBmf/bZZ8OGDZOJFStWPP300+b8p556SuaEb3/IkfzBD34g2S5kH61W8W/bjh07/HchvXvuueeCG79o0aIHHngg5C6kO9Ipqwb47zTMi+Rpi8EP/+IZ7SrBr9shw2p1GPiTd1xSYkpf0tLSrr/++o6Ojki6E36ncgDIBmV5GahexHrx4sX333+//5z77rvvpptuCmhYgAjDJ+T5Lq8GxvTnn38e/PQPefD7D3iPgyZvQv7u7/4uKytr+PDht9xyyxdffGHMD362Bu8rkmR96aWXbt++3WywvFsYPXp0hN13rQFcYElQ8/Pz27rJ23c5Xo35ErNvf/vb8n7UfCiLfdRNJjZs2GDOD5gIVlNTk5eXZy6Wnp4uB252dvZjjz128uRJY74cMdISORTk0Fy6dKm8gQi5KTlqzUNW3ovIsWj+6+qrr/6Xf/mX8C2xapXVZsPsLqrtWC3f43x5+j388MPm+ZWQrHba45AGDJTV8n0ZnJDiZuRNERZYPTYywuUjHHkpF6Rf77777h//+MeSkhJjZpjn+8KFC1tbW6XjGzduNCsSOR527twpL+XySn3rrbeGbKd/8mhvb1+7dq1xhkAqjDlz5jz77LMyXV1dLdMnTpwI3/6QIyltkLwVso9Wq/i/LkmrJk2a9Nvf/lYe1tfXy7TMCX7hkuM/5EdC4qqrrrrxxhtfeeWVP//5z1bNOB3Bi2SYwbfaZrSrBL9uhwyr1Wb9TZs27de//rV0WdLzypUrly1bFnl3Qu50/fr1MpIfd7viiit6EWuJkRzP/nPkYUZGRvgxiTB8orCwUHoh/ZVXP2mtPAxeJvjg9x/wHgdt06ZNl19++fvvvy/PSikN77rrLmN+yGdrwL4iSdYvvfTSlClT5Ag3/iXP2fLy8vC9dr8BXGBdcMEFb731ljEtbzUmTJhgTEvMPvjgA3MxeWgu9uabb/ovFjARYN++fePHjw94zsjrdWNjozzxzCNp8ODBcrQd7lZUVFRcXBxyawkJCcZrtJAJWcuY/rd/+7dvfetbxpUWkRRYAa2y2qzV/Gi3E340rOYb713kDbF5Djwkq532OKQBA2W1fK8HJ6R4Gnn/5SOZ32MjI1w+wpGfOHGiefLAFOb5LrWRMf2nP/3JOAUlxo4d+9Of/vTDDz8M084z/pK8NZeXCONfn3zyiQxvWVmZ/DUvaIv2yBkyZIh/agw+hRC8SsB/f/7zn1933XWnuz8t+qd/+qfgBYy9dHV1hWzA559/Lrnt61//elJSkgxgaWlpyFMCPb5Ihhl8q75Hu0rw63bIsFpt1oqMQGZmZuTdsdppc3OzMS0rhuxC+FjLoRIQI1lYVglYOGCtCMN3+v8+oDTWlQmzbPIXfPD7D7i/kIM2efLkgwcPGtPyjJC9GNMhn60B+4owWV988cXGuYZ33nlHGiAhCNm8AWQAF1hyzJmHrEzIQ2NaYhZwEa7VYgET/uT94rhx41577bWQu5b3xP5vyuW9rDEtCT49Pd3crP9Txeq979SpU19++eXglgSsbtWq3p0qiHw74UcjzCjJU/T++++/9NJLg/8VSeNDDqkpYFislrfxDFacjbwpwgKrv89gBRzt/k9tU5jne8iW/Nd//dfChQvPOeecSZMmmZ/rWS1stGfdunX+167J+2xZwPyMMpJxCJCRkRFcGZs7PfPMMwM+4ZJ+SQ3nv5gsMHr06F/84hfy1/yULWA7Yc5gmeQlUSqnm2++OeSpzR5fJCMcfH/RrhL8uh3w3/Cb9SfvgSWOUi4bB5VZB0fbHf/lzUhZXcsRPtbynqcXZ7BMweELeMrk5+fffffd5jVY8jB4I8G98x/wHgdNyk3/EtA8UEM+WwP2FWGyrqmp+drXvnby5Mnvf//78u4o/JgMCAO4wIrwHZL/mzOZCF7M+ATaX3V19ZgxY/bu3Wu167a2NnlRM6Zzc3MlqRvTUtcHVwMGq6s3rN67BAvZql5c7BLVdqyWDzPfJJk+5BVCPe60xyENGCWr5e26Biv+Rt4UYYEV42uwpCSK6gxWmJbIy3dtba2ZyQKe7AELHzt2zDxp8frrr8t76Oeff/68884zTwdGe+RIRiwrKwuYae50ypQpr776qv+/GhoasrKyAhZ7+OGHhwwZYn5cElxgLVq06KGHHgrfEoNk37POOit4fo8vklaDH/ziaerFGaxIHkZyBktmPvPMM59++qmkavkbPGLRHkuRnMEKH2upGIKvwVq8eHHI/VqxCt/p7uon/DVYp3s6+HscNCl9Wltbgzcb8tkasK8IB1yerVOnTl29erU8C8wLAQe0AVxgydtN82NdKb3Xr19vzA9+klxxxRXG5QUyEXwpwLnnnnvgwAFz+U2bNo0bN858OpmKiorkyJCoy8Ky31WrVhnzn3rqKXmemJ9P3XLLLSFbu3nz5h6/fxTmaWbVKqvNWs2PdjtWy1vNX7JkiYzPiRMnPvzww5UrV4a/Eshqpz0OacBAWS0f7eCEFJcjb4ow2/U4YhEuH+HIP/jgg3l5ee+9957/VR2RP9+NCTkS5DVdnrBSYEk9aswMeLL7r3v06NF777135syZp7uvY5MX+t/85jcy/eKLL37jG98wPv0J0/6QI/nBBx/Irs1vlkl3fvnLX5pLPvHEE7KX//iP//i8W319fXZ29j/8wz+E2eDpUAXWO++8IxXko48+KiNz/Pjx1157zfwW4WWXXfbss8/Kuw45MKTNy5cvv+qqq0JuM/yLpNXgB4ynvwjjZTWAVg+tNutPRuOFF16QoZBDSIYieMSiPZZkefMarCuvvLIXsT548KC88ZMYmd8ilIfmGS+rMYkwfKe7S3/phXEG65577glZ+oc5+CMZtIqKChk02YI8p/7whz9873vfM+aHfLYG7Cvyg0HePcrMqqoq/5kRFqAuNFDbfbr7TKNUOcYXE2TCPAMZ/CQxviAzfPjw22+/3f/7C8aEZCyPx+N/PAXwer0yf8eOHdOmTUtMTJTqWw4X/5Oi8nokzxbZviQ5q4vcpTaXwty4T8natWtD3kEnzGFk1SqrzVrNj3Y7VsuHH6WhQ4eOHTtWXg7knZBVj8KPidWQBuw0/PLRDo6ekQ8zkiHnhxmxqJaPcOQlnUiSyMzMlIBKKjJmRv58Nya2b98u77mTkpKkPPr1r39tzAzzZB8xYsR1111nfI6zdOlS44Ing7TBqNrDj0PIvhw6dOgHP/iBpN4hQ4acc845119//e9+9ztzNP75n/95xowZZ3eTiWeeeabHDZ4RlPlOd38TWbYsrZID4OKLLzbvg/Xv//7vMl+GUcZh/PjxP/7xj0MeGGf09CJpNfgB4+kvwnhZ9dfqodVm/e3atUtCf+aZZ8pbkZ/+9KfBIxbtsSQL/PCHP5TBkSH627/9W9lyyC6EibV44403CgoKUrpJlfb666/77yjk8yjC8J3uLrJl48aBJEVYwMeRhuCDP6pB++qrr2T+5MmTJQnKG4Oamhpjfshna8C+Ij8Y5NCdNGmSz+fzn2l1zLjfQG03AMAWAzeBxZ7USVLrON2KGDl58qR5JX5sXHvttb/4xS9iucd+xfMKAFSjwOpRSUlJe3v7Bx98cPnll//1X/+1082JkcbGRvPbgv3tq6+++vnPfz516lTzTg1xgOcV+l3wCXAXvqAPiEZGKy47BdtxVPSooqIiMzNz5MiRt912WxzcPiBCqampTz75ZGz2JQdhVlaWlHSx2V1s8LwCAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANhMS4EV8vvqAAAgxpyuCGJETT/VRBQAANfSk47V9FNNRAEAcC096VhNP9VEFAAA19KTjtX0U01EAQBwLT3pOJ77qfOqOgAAXEtPOlbTTzURBQDAtfSkYzX9VBNRAABcS086VtNPNREFAKD/tLe3P/vss8uWLfvtb3/bi9X1pGO39HPPnj3z5s1LSkoaPXr0rbfeevTo0eBl+nJNlZ6IAgBgl66urqampq1bt5aUlOTn56enp5tZeNCgQTU1NdFuUE86dks/58+fv3v3bq/Xe/jw4eXLl19zzTXBy/QlKnoiCgBAX7z00ksFBQULFy7Mzs4eMmRIwNkNj8czduxY8+HKlSsld0e+cT3p2I39PHbsWEpKSvB8CiwAAPpVVVXVoEGD/CsqKbMKCwvLy8tra2vb2tpOd5/WeuaZZ9asWZOUlCQLZGVl1dfXR7h9PenYjf2sqanJy8sLni9RSU9PT05OlmA/9thjJ0+ejHybeiIKAEAvNDc3S/I166pLL720sbFRaqnwq8ycOTOqU1l60rHr+rlv377x48e//fbbVgscP35cQj579uySkpKAf4X7bUk1EQUAICo+n++BBx4wTkelp6dXVlbW1taGL638133kkUciOZUlG1y7dq2edOyufkpgxo0b99prr/W45KFDhzweT+Rb1hNRAAAi19DQkJ2dbZyJKC4u7uzs7MVGejyVVVdXl5OTo+p8h4v6WV1dPWbMmL1790aycFtb26hRoyLfuJ6IAgAQCSmDpBgyLmOfOHFi5NdRhRTyVFZXV1dlZaVZwFFgOWDTpk3jxo2TEjj4X2YwioqK9u/f/+WXXx44cCA/P3/VqlWRb19PRAEA6FFtbW1mZqYkRymwysrKIvxAsEf+p7IyMjLS0tKMadlXeXn5f/7nf+pJx27pZ/AlU+YJRjMYO3bsmDZtWmJi4oQJE9atWxfV0aAnogAAWGltbZ0yZcrw4cONVCvFUFNTk7278Pl8t912m5nNc3Nzd+7cKTON/+pJx2r6qSaiAABYueWWW4y6JykpqaKiwqx77NXR0ZGRkTFs2LCnn3464F960rGafqqJKAAAwaToKSwsNKqrESNG7Nu3r193J6VbyLs26EnHavqpJqIAAATYuXOn8Ss3Ho9n69atDrZETzpW0081EQUAwOR/4mrBggXGrdgdpCcdx3M/udEoAEAz95y4MulJx2r6qSaiAAC47cSVSU86VtNPNREFACjnwhNXJj3pWE0/1UQUAKDWnj17xo4d68ITVyY96VhNP9VEFACgU1NTU2JiouS7QYMGbdmyxenmhKYnHavpp5qIAgAU2rlzZ2pqqnHuatasWU43x5KedKymn2oiCgDQZsOGDUZpVVxcfPDgQaebE46edKymn2oiCgDQw+v1Lly40PjN5oqKCqeb0zM96Tie+8l9sAAAcay1tTU7O9v4tmBdXZ3TzYmInnSspp9qIgoA0KC+vt64F8PkyZNbWlqcbk6k9KRjNf1UE1EAQNyrrKwcMmSIcS+GkL+p7Fp60rGafqqJKAAgXnV2dr766qvLli0zLn1Zv369z+dzulHR0ZOO1fRTTUQBAHHJ6/WmpaUZpVVqauq2bducblFv6EnHavqpJqIAgLj0+OOPm9VVY2Oj083pJT3pWE0/1UQUABBn/H+5eeLEiW+88YbTLeo9PelYTT/VRBQAEE/c/MvNvaAnHcdzP7kPFgBg4PI/ceXOX27uBT3pWE0/1UQUABAH4uzElUlPOlbTTzURBQAMaHF54sqkJx2r6aeaiAIABq54PXFl0pOO1fRTTUQBAAPR22+/feGFF8briSuTnnSspp9qIgoAGHCamprOPvtso7q6//77nW5OP9KTjtX0U01EAQADy86dO1NTU43qKiUlpaOjw+kW9SM96VhNP9VEFAAwgGzYsMEorYqLiw8ePNjZ2el0i/qXnnQcz/3kPlgAANfyer0LFy6U9DRkyJCKigqnmxMjetKxmn6qiSgAwP1aW1uzs7ONbwvW1dU53ZzY0ZOO1fRTTUQBAC5XX19v3Ith8uTJLS0tTjcnpvSkYzX9VBNRAICbVVZWDhkyxLgXg9frdbo5saYnHavpp5qIAgDcqbOzc9myZcZlwevXr/f5fE63yAF60rFb+rlnz5558+YlJSWNHj361ltvPXr0aPAyp06dWrNmjcfjGT58eFlZmTyMfPt6IgoAcKGlS5capVVqauq2bducbo5j9KRjt/Rz/vz5u3fv9nq9hw8fXr58+TXXXBO8TGVl5fTp09/vJhNbtmyJfPt6IgoAcJu6urqEhATjC4ONjY1ON8dJetKxG/t57NixlJSU4PmzZs2SIsyYlonZs2dHvk09EQUAuIfP5ysrKzPOXXk8nqqqKqdb5DA96diN/aypqcnLywuen5aWZt7f9siRI3KkRr5NPREFALhEa2vrjBkzjBNX5eXlOi+6CqAnHbuun/v27Rs/fvzbb78d/K+EhIQTJ04Y0zIxePDggAXOCKvfmw4AwP+prq42fgAnKyuroaHB6ea4hZ507K5+1tfXjxs37rXXXgv5X85gAQDcz+v1FhcXG+/ti4qK4v7Xb6KiJx27qJ9S7I8ZM2bv3r1WC3ANFgDA5ZqamiZOnGh8W5ArroLpScdu6eemTZvGjRvX3Nwc/C8zGJs3b+ZbhAAA16qoqDBuIpqTkxMyo0FPOnZLP4MvmTLvb2sG49SpU6tXr/Z0W7t2LffBAgC4QVdX10033TRq1Cgjf5WUlMgcpxvlUnrSsZp+qokoACDGHnzwQaO0Sk5Orq2tdbo5rqYnHavpp5qIAgBixufzbdiwwfhYUP7u2rXL6Ra5nZ50rKafaiIKAIiN9vb2/Px8o7S67777FP5ycy/oScfx3E/ugwUA6Cd1dXUZGRmSXOSvTDvdnAFDTzpW0081EQUA9Cv/jwXz8/Pb29udbtFAoicdq+mnmogCAPqP/8eCUmbx6zfR0pOO1fRTTUQBAP2EjwX7Tk86VtNPNREFANjuzTffXL9+PR8L9p2edKymn2oiCgCw17p164wvS/GxYN/pScdq+qkmogAAG9XV1SUlJRkF1o4dO5xuzoCnJx2r6aeaiAIAbOHz+crKyozSKjMzs7Ky0ukWxQM96Tie+8l9sAAAvdPa2jpjxgzjY8Hy8nI+FrSLnnSspp9qIgoA6KPq6urU1FRJHFlZWQ0NDU43J67oScdq+qkmogCAXvN6vcXFxcbnHkVFRZ2dnU63KN7oScdq+qkmogCA3mlqapo4caLki9TU1KqqKqebE5/0pGM1/VQTUQBAtLxeb0VFhXGbq5ycnObmZqdbFLf0pGM1/VQTUQBAVC677LJBgwYZHwuWlJR0dXU53aJ4picdq+mnmogCACJXV1dnlFZDhw6tra11ujnxT086VtNPNREFAETC/zZXI0aM+Nd//VenW6SCnnQcz/3kPlgAgJC4zZVT9KRjNf1UE1EAQHjc5spBetKxmn6qiSgAwAq3uXKcnnSspp9qIgoACInbXLmBnnSspp9qIgoA8FdfX9/Y2MhtrlxCTzpW0081EQUAmGpqavy/7cRtrhynJx2r6aeaiAIADFJLffe73zVKq7S0NG5z5QZ60rGafqqJKABASDllXHElLr744ra2NqdbhP+hJx3Hcz+5DxYAKNTc3FxQUGC88k+ePLmurs7pFuH/05OO1fRTTUQBQK3Ozs7S0lLjYnaPx1NRUcEdRN1GTzpW0081EQUAnaqqqjIyMoybsy9btqyjo8PpFiEEPenY/n52dXWtX79+woQJSUlJ8ve+++47fvy47XuJlp6IAoAePp+voaHhN7/5jfG7NyI3N7exsdHpdsGSnnRsfz9XrVo1b968/fv3S6Ulf+fOnXvnnXfavpdo6YkoAOjxne98x7zQNjMzc9u2bU63CD3Qk47t7+eoUaP8v6wh0zInoqb0dDV6Xy5a1xNRANCgs7Nz/fr1CQkJ8vI+aNCge+65x+v1Ot0o9ExPOnZRgfW/DQpbYPW6VXoiCgDxzefzVVRUpKenG2+2J02atH37dqcbhUjpScf98hFhfn7+W2+91dXVJX9lOqqPCCmwAABWqqurzbtb5eXlNTQ0ON0iREdPOu6Xi9zXrVt3wQUXJCUlyd977703qovcwxdY8pYlOTk5Ozv7scceO3nypC2bBQC4X319vXkl++TJk2tqapxuEXpDTzp2XT97HHop1xobG2fPnl1SUhK8bhj91mQAQD/av3//ggULjFfyjIyMqqoq7m41cOlJx67rZ4RDf+jQIY/HY/tmAQDusW7dugkTJgwePNi4ceiGDRv4qeaBTk86tr+f8lZj9uzZw4YN693ZowgXtvHaeQCA27S3ty9ZssTIIAkJCStXrpQ5TjcKNtCTju3v58yZMzdu3PinP/2pd6sHD705p6ioSKq3L7/88sCBA/n5+atWrerLZgEALiSFVElJSVJSklldPf744043CrbRk47t76c8K7744oveNMXikilzeseOHdOmTUtMTJwwYcK6deuiOlGsJ6IAMED5l1ZDhgwpLi5+8803OXEVZ/SkY/v7ef7557e2ttq+2T7SE1EAGHCCS6uWlhanG4V+oScd29/PJ598cuHChW57z6EnogAwUPh8PkorbfSkY3v6Gf7+CG4YTTe0AQBg2r59+7Bhw4zfuqG00kNPOo7nfrqtyAMAiKampqKiIqO0EgsWLKC00kNPOra/n4MGDbJ9m32nJ6IA4Fq1tbV5eXlGXTV48OBRo0bdeOONTjcKMaUnHdvfz/POO++///u/bd9sH+mJKAC4TVdX19atW7Ozs43SyuPxlJaWuu1SXcSGnnRsfz8fffTRG2644YMPPjh16pTtG+81PREFADeQoqq+vr6jo6O8vDwjI8MorTIzMysqKjo7O51uHRyjJx3b308ucgcA5Xw+35QpU4yr140skJOTs23bNn5DEHrSsZp+qokoADiltbW1srKysLDQ4/GYb7ALCgrq6uqcbhrcQk86VtNPNREFgFjyer01NTUrVqyYOHGi/wcXY8eO/eY3v/nCCy843UC4i550rKafaiIKAP1Niqr58+dfeOGF3/rWt8wPAY2r1wsLCysrK134ex5wCT3pOJ776bbrwABg4PL5fA0NDeXl5QUFBeYvMRtXWeXm5m7YsEH+yyVW6JGedKymn2oiCgB919LS4utmFlWpqan+b1mHDh2akpLyj//4j16v1+nGYiDRk47V9FNNRAGgd9rb2/fv319fX19UVCSvmand/IuqnJyckpKSmpqazs5Oqb26urqcbjIGHj3pWE0/1UQUAIJJPdTa2trY2FhXV3fHHXdceumlt99+e3FxcX5+vpRNmZmZIe+wE1BUOd0JxAM96VhNP9VEFED8Mc8tPfnkkzfffHNpaekGC3fdddcFF1wwZcqUJUuWLFiwIDc3NysrK+BElJX09PTJkyfn5eXJijIhdRhFFWynJx2r6aeaiAJwrZaWluCP1cxzS7/61a+mTp06YsSIpUuXRnJuKVpSackGL7vsspSUFHkohdTWrVtfeukl2TVf+kPM6EnHavqpJqIAXMU8+bRs2TJ5IUpOTl68eHGvzy2NHDnSeGh1ButHP/pRWlqaLPCzn/2spqZG9ivFU8CJKK/XK0WVUwMC5fSkYzX9VBNRALHn8/keeuihnJycm266qRcnn8xzS+edd96IESNuv/12q3NLUq5VVFS0tLSEb0z/9hboAz3pOJ77GfAS5nRzAMSbkL8MY3Xy6YYbbpg2bdrVV18txZPVuSUg7ulJx2r6qSaiAPpDR0dHe3v7aetfhklOTpa/ubm5XNgEhKEnHavpp5qIArDdr371q6FDhyYkJEybNi3ML8NQUQE90pOO1fRTTUQB9JHUSbW1tY888khxcfGMGTMCrkPnl2GAvtCTjtX0U01EAURFiqTnn38+Ly9v/vz5weWUYdSoURMnTrz44ot37NjBL8MAfaEnHavpp5qIAohEmOvTMzIyCgoKSkpKZIGGhgauQwdspCcdq+mnmogCsGJ1ffrZZ58tf88999xXXnmFcgroV3rSsZp+qokoAH8+n+973/teRkZG+OvTX375ZT77A2JATzpW0081EQUgRVVDQ0N5eXlBQYFx9wSuTwdcQk86jud+BlxX4XRzAPQj/6Iq4EL1s88+OzEx8e677+YcFeA4PelYTT/VRBS90N7ePmfOnK9//etlZWVWP/G2aNGi3NzcvXv3Ot1Y/IVdu3aNGTMmPT09oKjKyckpKSmpqanhmirAVfSkYzX9VBNRRMj/hEdiYmLwN/ND8ng8nAVxg46OjoqKihkzZlBUAQOLnnSspp9qIoqQJB+fDvsp0plnnilzJD1bncEaOXKksWRubi41llO6urqqq6sXLFhgXq5+1llnSdX7ta997aOPPnK6dQB6picdu6ifPV4sderUqTVr1siL6fDhw8vKyuRhVBu3o40YkO68884zun9zN8ynSL5uYTYi/33xxRczMjKosWKsqalJBr++vn7ZsmVmBKXAWrhw4c6dO6XkcrqBAKKgJx27rp9hhr6ysnL69Onvd5OJLVu22LJZxKv++BSpubmZGiuWrrzyShntpKQkM4IzZ858/PHHjVOSAAYcPenYdf0MM/SzZs3avXu3MS0Ts2fPtmWziDPBnyKlpqaef/75d9xxhy2X5lBjxUBwcZyVlbV+/fqWlhanmwagT/SkY9f1M8zQp6WlmW9bjxw54vF4bNksBrrW1taXXnoplp8iUWP1k5DF8UUXXfTEE0843TQA9tCTjl3XzzBDn5CQcOLECWNaJgYPHhy8bhj92Gj0QVtbW19Wf+ONN4YOHSrxlfo7lp8iUWPZi0usACX0pGPX9ZMzWHq0t7fPnTtXQnP55ZdLfpWSpceSqLW1tba29pFHHikuLp4xY0bAResx/hSJGqvvnnzyySuuuOK8887jEitACT3p2HX95BqseNXV1dXU1LR169aSkpL8/Pz09HSrc41SJ0nxVFBQIFVUaWlpXl7enDlzgsspg5Q4F198sRRqe/bsiX2nqLF6TQplCSuXWAHa6EnHrutn8NCbczZv3sy3CAcQqaik7hkzZszVV1+dnZ3t/zu7Bo/HI/PHjRsni0kVNXHiRJkT9mPe/ymnpPCSEq2ysrKhocEN95OkxopKR0fHI488IuWUf1iljHa6XQBiRE86dlE/A1Kp/3xj4tSpU6tXr/Z0W7t2LffBcrP29vZrr702IKZSThUWFpaXl9fW1lpdeuXz+VpbW6V4kmW2bt26cOFCWTEhIUEeuqGcCsmssVJSUm677Tanm+NSjY2NxcXF5g0XpMaSSuv3v/99fX29000DEDt60rGafqqJqOOktCopKTHy6KBBg9LS0jZu3CjJtddXK8u6fbwQPgakxjJLh5UrV7q2Fow9ibsUyv43XFiwYIGUy063C4Az9KRjNf1UE1EH+ZdWQ4YMKS4uVnVJzZYtW4zvMxqffm7YsEFzmeXz+WRAMjIyzLozPT29tLS0tbXV6aYBcJKedKymn2oi6gjlpZW/pqYm42NNnWWW1E+VlZWFhYX+l9P91V/91datW7nhAoDTmtJxPPfT6qIu2IjSKiRVZZbX662pqVmxYsXEiRP9n3FjxoxJTk6eNWuW0w0E4CJ60rGafqqJaMy8++67c+fONT4Uo7QKKY7LLCms77jjjgsuuGDq1Kn+3w+VbhYWFlZWVvJRIICQ9KRjNf1UE9HYqKurS05ONnLqokWLKK3C8C+zzjzzzNGjR69cuXKDhR/+8IczZ86Uv1YLlJWVFRQU3HzzzfX19bLl2NQx4e9hJgVWbm6utK2hocHn88WgPQAGLj3pWE0/1US0v0kGlRxvJte0tDRu/hQJKVAuueSSM/qHx+PJysrKy8uTSq64uDg7O1vmLF261KpKW7Zs2YUXXnjddddZLXDXXXeNHDlSCqlrr73W6h5m8t+EhITFixdzAACInJ50rKafaiLar1pbW43v20vGfeCBB5599lnOXUVOCpGLLrpIStIVK1ZYVTbGZUzy12qBwsLCM7rvfzFr1iwpfTIzM/upaAsQ8h5mcfOJJ4CY0ZOO1fRTTUT7T3V1tfFjNVlZWQ0NDU43Jz75fL4eP2hrampqb2/3n9PR0SGVbn19/c6dO6uqqqZNm+bxeIqLi62qtPz8fInjBRdcYLXAmjVr5L8S6E2bNvXlHmYAEEBPOlbTTzUR7Q9er1eytXEmo6ioiPMWcYAgAnCEnnSspp9qImq7pqYm43Or1NTUqqoqp5sDABjA9KTjeO5nwEUkTjdngGlvb6+trf3JT35iXOCck5PT3NzsdKMAAAObnnSspp9qImqXc88916xNS0pKuAoHANB3etKxmn6qiWjfNTU1FRUVGaVVYmIiv8sLALCLnnSspp9qItoXUkvl5eUZpdXgwYO/+c1vvvHGG043CgAQP/SkYzX9VBPRXujq6tq6dWt2drZRWnk8ntLS0oAbAQAA0Hd60rGafqqJaFQ6OzvLy8szMjKM0iozM7OiooIv8AMA+omedKymn2oiGomurq5Vq1Zdcsklxo1DjS8Jbtu2jR+SAwD0Kz3pWE0/1US0R1JdXX/99eY3BAsKCurq6pxuFABABT3pOJ77yX2wgtXW1hp3DTUuY3/uueecbhEAQBE96VhNP9VE1Epzc3NBQYFRWk2ePHn79u1cxg4AiDE96VhNP9VENFhnZ2dpaalxQ3aPx1NRUcG1VgAAR+hJx2r6qSaiAaqqqowvCUqBtWzZso6ODqdbBADQS086VtNPNRE1NTQ0zJgxw/hMMDc3t7Gx0ekWAQC005OO1fRTTUTF5s2bzzrrLPPWVtu2bXO6RQAA/A896VhNP9VE1Ov1Dhs2zKiu7rnnHnnodIsAAPhfetKxmn7qiGhXV1dubq5xxdXy5cudbg4AAH9BSTo+TYEVT3w+X2FhofQ0IyOjtbXV6eYAABBIQzo2xHM/td1odNmyZcaNGJqbm51uCwAAIWhIxwY1/Yz3iJaWlkofU1NTX375ZafbAgBAaHGfjk1q+hnXEa2oqDCuu6qtrXW6LQAAWIrvdOxPTT/jN6Lbtm0zPgOtrq52ui0AAIQTx+k4gFv6eerUqTVr1ng8nuHDh5eVlcnD4GX6ck1VvEa0pqbG+A2ciooKp9sCAEAP4jUdB3NLPysrK6dPn/5+N5nYsmVL8DJ9iUpcRvTll19OTU2VrklJ6nRbAADoWVym45Dc0s9Zs2bt3r3bmJaJ2bNnBy9DgeWvubnZqK5WrFjhdFsAAIhI/KVjK27pZ1pamvk7xEeOHPF4PMHLSFTS09OTk5Ozs7Mfe+yxkydPRr79eIpoW1vbtm3bjJ9wLiws9Pl8TrcIAICIxFM6Ds8t/UxISDhx4oQxLRODBw+2WvL48eONjY2zZ88uKSkJ+NcZYfVj62NIytDExETzJ5yprgAAA0jcpOMeuaWfkZzB8nfo0KEel/EXNxE1vzOYkZHB7wwCAAaWuEnHPXJLPyO5BstfW1vbqFGjIt9+ryPa3t6+f//++vr6n/3sZ9/97nfvvfdemW5qaor9b9H4fL4NGzYY3xk8//zz33rrrRg3AACAPqLAirXNmzdbfYvQDEZRUZHUOl9++eWBAwfy8/NXrVoV+fbDR1SqKNnjokWL7rrrruLiYtl4Tk5OZmZm+M8cjd+lycrKysvLW7hw4ZIlSy666KIpU6b8/ve/790ghG+htMq4m6iUWXwyCAAYiCiwYu3UqVOrV6/2dFu7dq3/fbDMYOzYsWPatGmJiYkTJkxYt25dV1dX5Nv3j6is2NTUtHXr1pKSEqla0tPTw5RQ8t/JkydLCSV/5aHsfc6cOdnZ2eHLL1m+qqrKro/w6urqjEva5a9M27JNAABijwIr3khEi7pJbWR8yhZwIsqYOWPGDCm8XnrppcbGxoAPAX0+X21tbXt7u//Mjo6OlpaW+vr6nTt3VlRUSDU2bNgw8yL0pKQk2aOs1esTTv4fC0otGLB3AAAGFgqseBNQUUmZVVhYWF5eLtVPW1ubLNDU1FRZWdnZ2dnHHUlJ5PV6pUozPtEzT4OVlJRI0Sb/3b9/f4Sb4mNBAECcocCKN0ahs3HjRqlyovpssS+kdJMaToo5s9JKSUmRv1deeaX5lUkrfCwIAIg/FFjxIOCsVUtLi1MtaWpqKikpMQomkzxcsGBBaWlpdXX1/v37zRNUe/fulZl8LAgAiD8UWPHGDRGVEqq8vPyiiy6aOnWq8Ss3/pKSknJycmbPnm085GNBAED8cUM6jg01/XRfRFtaWmpqaqSKWrhw4cSJEwPqraqqKqcbCACAzVyYjvuJmn66PqJer7ehoeEnP/nJvHnznnjiCaebAwCA/dyfju2ipp9qIgoAgGvpScdq+qkmogAAuJaedKymn2oiCgCAa+lJx2r6qSaiAAC4lp50HM/9DPhentPNAQBAOz3pWE0/1UQUAADX0pOO1fRTTUQBAHAtPelYTT8BAIALOF0RxIiWfva32BwxMTsu46k77EXzXmK2I/bCXuJmR3oKoP7GONojzo77eOoOe9G8l5jtiL2wl7jZEQWWXRhHe8TZcR9P3WEvmvcSsx2xF/YSNzuiwLIL42iPODvu46k77EXzXmK2I/bCXuJmRxRYdmEcEQJPMHciLq5FaNyJuMBBHHwIgVcldyIurkVo3Im4wEEcfAiBVyV3Ii6uRWjcibjAQRx8CIFXJXciLq5FaNyJuMBBHHwIgVcldyIurkVo3Im4wEEcfAAAADajwAIAALAZBRYAAIDNKLAAAABsRoEFAABgMwosAAAAm1FgAQAA2IwCK/6dOnVqzZo1Ho9n+PDhZWVl8tCYf8ZfSktLi3xdq/mInNUYvvfeewsWLPB0kwl5GPm6xMUWVsPY2dm5dOnSESNGpKen33///VGtS2hsYb5e+c+MZGyJC2KPAiv+VVZWTp8+/f1uMrFly5bgZR599NHS0tLI141kmwjPagxnzZq1bt26zm533323PIx8XeJiC6thLC4uLioq+qTbjTfe+PTTT0e+LqGxUUCBFcnYEhfEHgVW/JMMvXv3bmNaJmbPnh2wwJdffjl+/PiPPvrInGO+flmt2+M20SOrMUxOTj527Jgx/fnnn8tDcxXiEhtWw3jOOeccPnzYmJYaKzc311yF0MRSQIEVZmyJCxxEgRX/0tLSOjo6jOkjR454PJ6ABeRN2y233OI/x3xVslq3x22iR1ZjWFhYeN9993322WednZ3r16+Xh+YqxCU2rIZRCix5aExLpeU/vIQmlgIKrDBjS1zgIAqs+JeQkHDixAljWiYGDx7s/9+vvvrqwgsvPHDgQFTrht8mImE1hh999NH5559vXGgiEx9//HHk6xIXW1gN45IlSxYvXny426JFi4YMGRL5uoTGRgEFViRjS1wQexRY8S/8W7Tq6uprr7022nV529d3VmOYn59/9913m9dgycPI1yUutrAaxk8//VTqquHDh48aNerBBx/MyMiIfF1CY6PIz2D1uAxxQf+hwIp/4S8yyMnJeeWVV6JdlwsX+s5qDIcNG2Z1DVaP6xIXW0QyjE888YQUW5GvS2hsFPk1WD0uQ1zQfyiw4t/mzZutviaza9euSy65JHgV8/XLat0w20SErMZQXvHXr19vnMG65557Ql6xS1z6ldUwLl68uK2tTeKyffv2sWPHHjx40FyF0MRSQIEVZmyJCxxEgRX/Tp06tXr1auO+SmvXrvW/0Utubm5NTU3wKuarktW6YbaJCFmN4TvvvFNQUHB2t6uuuurdd981VyEusWE1jE899dSYMWOSk5Pnz5+/b98+/1UITWwE3L3PmBlmbIkLHESBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFjxb8+ePfPmzUtKSho9evStt9569OhRY360v35qtZ0AfVzdarFdu3bNmTMnMTFR5t98882ffPKJXeMDAIDtKLDi3/z583fv3u31eg8fPrx8+fJrrrnGmB/tr59abSdAH1e3Wmzu3LnPP/98Z2fnsWPHNm7cKEWYXeMDAIDtKLB0keokJSXFmO7Lnff8txOgj6tHspiUXyFvvwkAgEtQYOlSU1OTl5dnTPfltyP8txOgj6v3uNgXX3zx8MMPW50AAwDADSiwFNm3b9/48ePffvtt42Gvf/00YDsB+rh6+MWMuwuOHDmypaUl/OoAADiIAkuL+vr6cePGvfbaa+ac3p3BCt5OwF2V+7i61WKmzz///P7777/00kuj6DwAALFFgaVCdXX1mDFj9u7d6z+zF9dghdxOgD6uHsliUmNFcgkXAABOocCKf5s2bRo3blxzc3PA/Gh//dRqOxFuNsLVrRZbsmTJgQMHTpw48eGHH65cuZJrsAAAbkaBFf/OCOL1ek9H/+unVtsJ0MfVrRbbsWPHtGnThg4dOnbs2OXLl3/66af9MVYAANiCAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbEaBBQAAYDMKLAAAAJtRYAEAANiMAgsAAMBmFFgAAAA2o8ACAACwGQUWAACAzSiwAAAAbPb/AF4RCNvj90n4AAAAAElFTkSuQmCC)
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