Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: Antti_Pulkkinen_021508_1 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | October 24 2003 |
Start Time | | 2003/10/24 02:00 |
End Time | | 2003/10/25 02:00 |
Key Words | | NLIL/BATSRUS Halloween storm |
Model | | BATSRUS |
Model Version | | v7.73 |
Validation Level | | 0 |
Coordinate System for Input | | GSM |
Coordinate System for Output | | GSM |
Dipole Tilt, in the X-Z Plane, at Start deg | | -20.80 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.40 |
Update Dipole Orientation with Time | | yes |
Inflow Boundary R_E | | 33 |
F10.7 | | 188.00000 |
Conductance Model | | auroral |
Corotation | | yes |
Run Number | | Antti_Pulkkinen_021508_1 |
Minimum Dst Value | | -44 |
SW Source | | DSCOVR-realtime |
Diagnostic Indices | | YES, plot them |
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View interactive javascript plot of satellite positions during this run in a new window.
Model values plot for IMP-8 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAU2F0IEp1bCAwOCAxMToyNjoxNSBFRFQgMjAxN3YeaBsAAAGxdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoiQW50dGlfUHVsa2tpbmVuXzAyMTUwOF8xOiBCQVRTUlVTIHBsb3Qgb2YgcmhvIGFsb25nIElNUC04IHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAzLTEwLTI0VDAyOjAwOjAwLjAwMFoiLCAibWF4IjoiMjAwMy0xMC0yNVQwMjowMDowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcwOSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOi0zLjg0Nzc4NzUwMDUsICJtYXgiOjk0LjkzMzAzNzUwMDUsICJ0b3AiOjUyLCAiYm90dG9tIjoyMzUsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiIiB9CiAgfQogXX0hBUbHAAAABGdBTUEAAK/INwWK6QAAKmVJREFUeJzt3Xt0FOX9x/GQqATQuEFKTIBAwChYQBsBiQGBEJCbCIIWCqIWLW3Vai8QkEtLrdobHPRQE0WqnqoFrIqKQVsVz1HrBUq1qAhyLVIwiFz9gRHD73P2Oc5Znr1kE2Zgknm//tjzzLMzz84+39n9fnd2Nkk5CgAAAFelnOwdAAAAaGgosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRY8KOUlBSrEfNeIDEvDpV//vOf+fn5NY7sxUNz5AP1CC9XuMPdt/46FFjkHkTz4qjo1avXU089dVIemoPcYB5QL3CYBtrvf//7tLQ03SazsvWmVqv3uJRvZGVlTZgw4bPPPkvysfxWS1VXV0+ZMiUUCmVmZk6dOlWLpn/58uXFxcXp6enZ2dkTJ06MfILOc48cJ+VYNY6/cePGYcOGhcLU0GLi/Yz5oDWu3KhRIwVozJgx27Zti1wh+jhJiUX9e/fu1W7n5+c3adJET+GKK6546aWXrE3OOuusoUOHrl+/3umPuUumkWDAJJ/aca4QLSMj4/Dhw8f/0HXg6ZEf+aI7//zznWPvaPiw7NSpU+QKybyckzloT+RrmbIMJxgHXHB9/fXXeXl59957b/v27dWucf3jLLBM45NPPrnqqqu+973vJbm+3wqs8vLygoKCTWFqLFiwwPQPGDCgoqLiwIEDn3766aRJk1RAWBsmOXvxxi8sLJw+ffqesGnTpmkxmb1NvsAyDR0G27dv//nPf96rVy/n3sTHifUQl1122Y033qji6csvv6ysrFy8eHGfPn2sNZWPZ86c6TyFxCFOMGCtnlqdV6jzJvW6wOrWrduzzz7r3PX000+rJ/pVmfjlnMxBS4GFBowDLriWLVumFK5G9+7dn3/+eadfb0NlZWVt27ZNT0/v2bPnmjVrjh57xiJ68WhNb16R96oEOeuss2JuFT2a01i1alWrVq3mzZtXY2fM/T8aLhTuuOOOdu3aZWZmXn/99QcPHky8fkxKEiqkTFuNoqKi6HX279/frFmzBDMQvVjj+E2bNtWwpr1v3z4tJtjJBI+STMG6d+/eJk2aOIvxjpOY22pDbV7jzui5OA+ReJcSDGit/7vf/a5ly5bNmze/6aabVI1Z4xw+fPjWW2/NClPDnIKKPowj1XYT9cydO7d169aNGjU6Gv+4ijmsZd26daNGjdJzycjIGDly5K5du5J5Ookf9Ic//KEG1PqaqMRzrsaSJUsij20N9cQTT8R8sUe+nC01HrQx30Yi57DGeYj3ov7qq69UxOfm5oZCoT/+8Y8xHyvBHDr70Lt377/+9a/ODm/dujU7OzuZAxI4SoEVZEOGDPnzn/+sxkMPPaS206/3lxEjRmzevFnvVrNnz3beZxOXCJ4WWM8999y3vvWtpUuX1tiZYP/nzJnTv3//TZs2ff755+PHj//Zz36WeP2Y9EbvvMtXVlbq7Tt6He1S3759E8yAWWzRooVSTufOne+5554jR44kHn/06NGzZs3SO/uePXtmzJihxQQ7Ge9BY/YcPTZd7dixo7S0NPIsUbzjJOaAgwcPvvrqq19//fX/+7//i7fm7t279RR69OiRzC4lGNBav6Sk5JMwNX71q19Z4yjdqn9bWL9+/TSZCR69bpuo/4orrti+fbuzGPO4ijdspK5du77yyit6yor4zTfffMMNNyT/dGI+qCZcM7k9bODAgTUWWDoS8vPz33jjDS2uWLFCbfXUtsBK5qCNfl1EzmGN8xDvRf2b3/xGr8ENGzao/7bbbov5WAnm0NmHF154oVOnTs6J24kTJ/72t7+N+WSBaBRYAbVx40ZVJ4cOHVJbt2rrTcrcpfcXZVnT/uKLL+KdaahbgaW3rTFhiQeJbMyfPz8nJ+edd96JXC1mZ+L979ix40cffWTaO3fu1Kf8xOvHlJqaWlVVZdpqpKWlWSusXr06Ly9Pn7zjzUAkfWheuXKlsqCTA+KNr7pBO2w+f6vhZKDEEgclcrVImZmZ77//vrkrwXES8yH27dunvHXBBRekp6e3b9/+F7/4hfNxP/IhsrOzVQQk2EmnM8GA1voffPCBaWvnO3ToYI2jbZ0V1qxZE71CtNpuov4tW7ZELsY8ruING49moHXr1sk/nXgPunbtWtPWhjUWWLq9//77hw8ffjT8Le0DDzwQvcLRqJezJZmDNvodIHIOa5yHeC/qc845J/pUtPVYCeYwch+6d+/+2GOPqbF+/XrtgGY15u4B0SiwAkqJykqrkydPNnfVWPQks2hxHqVly5bjxo2rrKxM8rHU0PvgtGnTrNVidiYeU8km8vmqlKnDE0l8Bkuf9XNzc99+++3oDRMMu3XrVmeceOPro7aer3M5ixYT7GSSzyXmanrQ6dOnFxcXm8UEx0nih6iurlahc+211zqXo5k11b9hw4bIH+Kdeuqp1tdkquSc6CQY0NoNUwWazVWNWbunnsQrRKvtJuqPvDA83nEVb9hIKrsVAlW6Zs6dOru2TydyfWeStX4yBZbWVx38+OOP69b5etRZId7L2TCLyRy00TscOYc1zkO8F3Xk/MR7rARzGLkPS5cuPe+8844cOTJ27Nh77703+ikA8VBgBZE5FeGcQpBNmzY5JyrivUebqyIc1mKNBVbMfr2pOZ8I9ck7ZoG1bds2fR61fsIWszPmYzmLepeMfMrx9i3xE0lwDdaiRYtycnJWrVoVc8MEw+q5ZGVlJR5ficSVa7CSWc25QCrxcZLMQyiznnHGGdFrqqY8++yzzTPq1KnTW2+9FbnVm2++2a5duxoHtJ6CczZCjeTPYFmHcaQ6nMFKZjGZM1jqfOSRR3bv3q28rtvoYzvJfYtcv7ZnsOTuu+8+5ZRTnC/F4r3E4knmoE38NlLjPMR7Uefn50efwbIeK8k5VLHVpUsXfa7QMelc2wckgwIriB566KFhw4ZZnYMHD3744YePxn+PVmb98MMPnX5rsW4FlgqI2bNnHzx4UJl7+PDhMQuso+FvIvROetddd9XYmWD/582bp8/Q2me9S/7nP//57ne/m3j9mMrKymL+ym/OnDm5ublODqtxBsaMGaP3dO2J9kd7dcsttyQeX4XXjBkzzMmA22+/PfGFYgmeS+LMevSbn/j17NnzaE3HScwB+/Tps3jx4p07d1ZVVekpTJo0SevHXHP06NHl5eVq/OlPf1ICe/XVV/eFrVixonPnzk7pnGBA6ykMHDjQXIOlRvT1UtOnT3cuuCkuLtZkmn7rMI4Ub5PjLLDiDRtJ1efTTz99+PDhjRs3jho1KvrYTnLfItd3rsG67LLLkiywaruCJZmDNvHbSI3zEO9Ffeedd/bt21dbRV6DZT1W8vHVZyd1PvjggzFnA4iHQySIunXr5pwmcTz77LPdu3c/Gv89WjVEKBSKt1i3AktFhnJ5enp627Zt77vvvngF1tHw+a1OnTr9+te/rrEz3v5//fXX9957b8eOHRs3bqyMHn11fDJPRB9n9VnW/Gmf0tJS56uElCgHDhyIeZfpXLJkSdeuXbUn+tysN3rnnFC88devXz9o0KAzw5QpN2zYkGAn4z1ovGcXuWbz5s1V6ZrxEx8nMQd8+eWXR44cmZmZqZjm5eXddNNNu3fvjrnmiy++aH6cqOeoSk6PZZ6dGo888kgyA1pPwfyKUGv+6Ec/ivxFmGlohlXFmp+MqeFMuHUYR4q3yXEWWPGGjfT888/rw8Opp56qql0HbfSxneS+Ra7/gx/8QJOjKdLrRSMn2H+3CqxkDtrEbyM1zkO8F7XKcZV0rVu31lOeO3duzMdKPr5PPPFEfn7+V199FXM2gHg4RADUe2S75L333nsqVU/2XtTdkSNHTjnllBP5iJdffvnjjz9+Ih8RDQPvSgDqPQqsGt122207duzYsmVL//79f/rTn57s3am7lStXOr8W9NrXX399//33d+nSJZk/xQxYeFeCm6K/Kaunma9ePJF6sZMnRmCfePLmzZvXunXrli1b3njjjfX6bw2cfvrp991334l5LB1X7dq1U0l3Yh4ODQzvSgAAAC6jwAIAAHAZBRYAAIDLKLAAAABcRoEFAADgMgosAAAAlwWlwIr5g3YAAOCWk53q/SUo00HgAQDwDnnWEpTpIPAAAHiHPGsJynQQeAAAvEOetQRlOgg8AADeIc9agjIdBB4AAO+QZy1BmQ4CDwCAd8izlqBMB4EHAMA75FlLUKaDwAMA4B3yrCUo00HgAQDwDnnW0pCng78wCwDAiUGetQRlOgg8AADeIc9agjIdBB4AAO+QZy1BmQ4CDwCAd8izlqBMB4EHAMA75FlLUKaDwAMA4B3yrCUo00HgAQDwDnnWEpTpIPAAAHiHPGsJynQQeAAAvEOetQRlOgg8AADeIc9agjIdBB4AAO+QZy1BmQ4CDwCAd8izlqBMB4EHAMA75FlLUKaDwAMA4B3yrMUv07Fx48Zhw4aFwtTQoumvrq6eMmWKOjMzM6dOnarFuo1P4AEA8A551uKX6SgsLJw+ffqesGnTpmnR9JeXlxcUFGwKU2PBggV1G5/AAwDgHfKsxS/T0bRp0/3795v2vn37tGjaqrQqKipMW42ioqK6jU/gAQDwDnnW4pfpGD169KxZs/bu3btnz54ZM2Zo0fRnZGTs2rXLtCsrK0OhUN3GJ/AAAHiHPGvxy3R88sknbdu2TQlTY/v27aY/NTW1qqrKtNVIS0tLMEhKQp4/BwAAgoo8a/HLdJSUlEybNs25BkuLpp8zWAAA+B951uKX6WjSpAnXYAEAUE+RZy1+mQ4VUjNmzDBnsG6//XankCorK4v3K8JaxZLAAwDgHfKsxS/TsX79+kGDBp0ZNnjw4A0bNpj+6urqyZMnm7+PVVpaGvl3sCiwAADwCfKsJSjTQeABAPAOedYSlOkg8AAAeIc8awnKdBB4AAC8Q561BGU6CDwAAN4hz1qCMh0EHgAA75BnLUGZDgIPAIB3yLOWoEwHgQcAwDvkWUtQpoPAAwDgHfKsJSjTQeABAPAOedYSlOkg8AAAeIc8awnKdBB4AAC8Q561BGU6CDwAAN4hz1qCMh0EHgAA75BnLUGZDgIPAIB3yLOWhjwdKcc62bsDAECDRZ61BGU6CDwAAN4hz1qCMh0EHgAA75BnLUGZDgIPAIB3yLOWoEwHgQcAwDvkWUtQpoPAAwDgHfKsJSjTQeABAPAOedYSlOkg8AAAeIc8awnKdBB4AAC8Q561BGU6CDwAAN4hz1qCMh0EHgAA75BnLUGZDgIPAIB3yLOWoEwHgQcAwDvkWUtQpoPAAwDgHfKsxUfT8e677w4cOLBZs2Y5OTkLFy40ndXV1VOmTAmFQpmZmVOnTtVi3QYn8AAAeIc8a/HLdKxbt65NmzaPPvro559/vnXr1rFjx5r+8vLygoKCTWFqLFiwoG7jE3gAALxDnrX4ZTpUUc2fPz+6v7CwsKKiwrTVKCoqqtv4BB4AAO+QZy1+mY6srKyZM2dmZ2c3b958woQJe/bsMf0ZGRm7du0y7crKylAoVLfxCTwAAN4hz1r8Mh1paWnjx4//NGzMmDHXXXed6U9NTa2qqjJtNbRagkFSEvL8OQAAEFTkWYtfpiMjI6OystK0VWO1aNHC6ecMFgAAPkeetfhlOnr16qW6yrR37tzpFFhcgwUAgP+RZy1+mY6FCxeOGzfO+Yrw+uuvN/1lZWXxfkVYq1gSeAAAvEOetfhoOmbNmtWiRYvMzMxrrrnGuci9urp68uTJobDS0tLIv4NFgQUAgE+QZy1BmQ4CDwCAd8izlqBMB4EHAMA75FlLUKaDwAMA4B3yrCUo00HgAQDwDnnWEpTpIPAAAHiHPGsJynQQeAAAvEOetQRlOgg8AADeIc9agjIdBB4AAO+QZy1BmQ4CDwCAd8izlqBMB4EHAMA75FlLUKaDwAMA4B3yrCUo00HgAQDwDnnWEpTpIPAAAHiHPGtxfzoOHTo0Y8aMDh06pKen63bWrFmHDx92/VFqi8ADAOAd8qzF/em45ZZbiouL16xZo0pLt/369bv11ltdf5RkpBzrpOwDAABBQJ61uD8dWVlZ27ZtcxbVVo/rj1JbBB4AAO+QZy0UWAAA4HiRZy2efEVYUlLywQcfHDp0SLdqn6yvCCMReAAAvEOetXhykfv06dPbt2+fnp6u25kzZ3KROwAADRt51hKU6SDwAAB4hzxrCcp0EHgAALxDnrW4Px1r1qwpKipq0qSJr/5Egh/2AQCAhoo8a3F/Onr27Dl79uwvvvjC9ZGPB4EHAMA75FmL+9ORnp5+8OBB14c9TgQeAADvkGct7k9H27ZtN2/e7Pqwx4nAAwDgHfKsxf3puO+++0aMGLFjxw7XRz4eBB4AAO+QZy3uTEdKTVx5lOPcw5O9CwAANFjkWUtQpoPAAwDgHfKsxf3paNSoUZ233bVrV5s2bSKDVF1dPWXKlFAolJmZOXXqVC3WbWQCDwCAd8izFveno1WrVv/73//qtu2Pf/zju+66KzJI5eXlBQUFm8LUWLBgQd1GJvAAAHiHPGtxfzrmzp175ZVXbtmypbZnmz788MMOHTocOnQoMkiFhYUVFRWmrUZRUVHd9orAAwDgHfKsxf3pqPNF7kOGDHnssceOHhukjIyMXbt2mXZlZWUoFKrzXtVtQwAAUCPyrMUv0/H3v/+9R48e5qRXZJBSU1OrqqpMW420tLQEg/j8l4wAADRU5FmLX6ajS5cur732mmlzBgsAgPqFPGvxy3TEO+HENVgAAPgfedbix+mIDFJZWVm8XxHWKpYEHgAA75BnLX6cDuvvYE2ePDkUVlpaGvnLRAosAAB8gjxrCcp0EHgAALxDnrUEZToIPAAA3iHPWoIyHQQeAADvkGctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qwlKNNB4AEA8A551hKU6SDwAAB4hzxrCcp0EHgAALxDnrUEZToIPAAA3iHPWoIyHQQeAADvkGctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qylIU9HyrFO9u4AANBgkWctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qwlKNNB4AEA8A551hKU6SDwAAB4hzxrCcp0EHgAALxDnrUEZToIPAAA3iHPWoIyHQQeAADvkGctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qwlKNNB4AEA8A551hKU6SDwAAB4hzxr8ct0LF++vLi4OD09PTs7e+LEiZ999pnpr66unjJlSigUyszMnDp1qhbrNj6BBwDAO+RZi1+mY8CAARUVFQcOHPj0008nTZo0dOhQ019eXl5QULApTI0FCxbUbXwCDwCAd8izFj9Ox/79+5s1a2bahYWFKrxMW42ioqK6jUngAQDwDnnW4sfpWLp0ad++fU07IyNj165dpl1ZWRkKheo2JoEHAMA75FmL76Zj9erVeXl569atM4upqalVVVWmrUZaWlqCbVMS8nzXAQAIKvKsxV/TsWLFitzc3Lffftvp4QwWAAD+R561+Gg6Fi1alJOTs2rVqshOrsECAMD/yLMWv0zHnDlzcnNz165da/WXlZXF+xVhrWJJ4AEA8A551uKX6Yi+ZOrAgQNHw38Ha/LkyaGw0tLSyL+DRYEFAIBPkGctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qwlKNNB4AEA8A551hKU6SDwAAB4hzxrCcp0EHgAALxDnrUEZToIPAAA3iHPWoIyHQQeAADvkGctQZkOAg8AgHfIs5agTAeBBwDAO+RZS1Cmg8ADAOAd8qwlKNNB4AEA8A551hKU6SDwAAB4hzxrCcp0EHgAALxDnrU05OlIOdbJ3h0AABos8qwlKNNB4AEA8A551hKU6SDwAAB4hzxrCcp0EHgAALxDnrUEZToIPAAA3iHPWoIyHQQeAADvkGctQZkOAg8AgHfIs5agTEeDDPxXYabhLB46dOjAgQNaNLe7du0yPWro3s2bN+v2448/3rNnz7Zt27Sou9auXavbNWvW7NixQ3eZxmuvvaZNdKvVVq5cqcZHH320bNmydevW6XbVqlVPPvnkTTfddN11140YMUK3w4cPHz9+/MiwMWPGDBkyZNy4ccOGDVP7iiuu0L2jRo1SpxYHDRqkTS677LIBAwYMHjy4b9++Q4cO7dWrlxo9e/bs0aPHxRdf3KVLFzXOPffcb3/72+3bt2/btm1eXl52dnZ+fn5OTo5u27Rp065dO92l/s6dO59zzjnapFOnTlpfDd1qc/V3795dixdddFG3bt2+853v6FEKCgp69+6txUsuuaSoqEiPVVxcrJX79OmjRy8K06J2xqypdmFhoe7SINr8wgsv1KJuNbJ6NKbG0aLu0pi6NStfeuml2lBPUIt9wrTawIEDdZeeuB5CD9qvXz+tr0V1mjX1oGbNkpISba51zO6pXwNqrrS+plRtzdhlYVdeeaWGNbN61VVXmflXIDThJjQTJkz4btjEiRNHjx49adKkG2644dVXX10Rppi+8MILW7ZsUVsHw7///W8dDIr+m2++qSNER4JuN4epoWPDHEI6orSOetTQQWIOM92lHh1IpuEcgVrHOkpP1usFgKcaZJ49HkGZDgVe+V65SolH+al///5KY2oodSmHadHkVHUqh6lfncp56lQWNCnfSbHKuyabKsWqUylW+VK5XKudf/75F1xwQdeuXdXQCh07dtQmuu0cpobuVSmg9K/b9mGtW7dW++yzz+7QoYNu24SpoZKiRYsWajdv3lyNUCjUrFkzNU477bSzzjqrcePGZ5xxxumnn56enn7mmWeqMzMz85RTTmnSpInuSktLa9q0qZ6yVkhNTdW9ukudaqjT3Kq/UaNGaqhft6eeeqpuTY+517nL6TQNcxcahshjwAq0OSRMuNVj1jEHj+4yPWYdc7DpLvXoSNMRqK3Msae71K/DUoer7tLBbI5V9atHizqqdbRr5aysrIyMDB3baujWHP+6VVWdm5urYlqvhfPOO09tvbj0kjHFtFNJ61Zlrl6PqolVqqr01GtZxahexSrrVeKr5+qrr1YZqvcBvQmoJB07dqx6VG5+//vff/3111VovvXWW/osYSpO3e7cuVOFpqkvzYcQFaCmxFR7T1hkNel84AGCKYUC61hBmY6TkbwCxMnNNXY6CTu607nLNFQ76la5WVlctyZVKyUrTys3q61Erk6Ty836JsGbrG82N231mzHNotYxD2R2wyw6RUaNnU7lkWBMs6HpdJhOc2s9d6vESb7ATVD1Jh8UWKwD0nRGfhQ5JUwrmMNMZaIWdTTqQFWPjlLdtmzZUgfqt76hj1LqOffcc1Up6tbUiPrEpepQtaD5nKZPbrodOHCgGiNGjCgpKRk1atQVYRMmTFAh+MYbbyxduvTdd99V5adqL/Jcoyo8LZoz1qbmU+MopwxxAqVQYB0rKNMR863TefeMzKYxO52sHzObOmeGtI7zzqv0nxJO82qfGua8HeuNWMOa92L1n3nmmdpEt2qfHqa79CFe9+p9We/daquhW71H62N9+/bt9Slfb9Na1Od7c+orPz+/VatW5qyYesyn/K5du6qtT/l6Q3fezS+++GI1zAk5va2roY/+l156qTkzZ744Ky4uNl9madF8mdW/f//BgwerPXLkSN1efvnlw4cP/8Mf/rBkyZL58+e/+OKLDz744PLlyx977LHFixf/4x//ePjhh1977TXdvvLKK+p55plnlBseffTR1atXL1q06F//+tdLL72k3PD++++bUwVaVHpYu3bt5s2blSTMt1HqOfrNuYGjx37HpE7z3ZPzTajaujXfW2lD802o2tu2bTPfZ2nRnIQw34qafi3qLnOrLKVHV7/5asxaUw2Nprt0a3bS7KfTadZ0Nl+5cqVW0K05/6GG88WrOS9idaqtbdWpxzWLZhCtqQHVMKdVdKu5MilWi5rJv/3tb++9955m9eWXX37qqaceeeSRZcuWlZeXm6Do3r/85S8PPPDAk08+OW/evKefflrxmj17toKr/D106FDzFa05ratbRd98V6ugd+vWrbCwULc6NnTY6HDSojlNq4NKx1KXLl06duyoo0i3ap933nnmSNNBqMV27dppMTdMbR2f5mStFrPCdPRmZmbqSM7IyNCiXgJa1HGuY16LekGFQiG9Ckx5rdeIVjNnxUwlbV535jUVs8C1qkmzGLOznop8p9KtOa1o3ohU25lbTZfmUzWf3lj0jqEZ1m1OTk7btm31pqG4KFLmG3YFVJHV24LeEPr06aO46xgwx4P5nlo1n4q/0aNH6+V/5ZVXjhkzRj0q+9SeOHHiT37yk4qKilWrVjmnAM3ry3zpbF5NkS8fLeqANy9zcyIw8hVtqkPn+2XUCykUWMcKynQo8Bs2bFBmck7+m1e+XuHmI6DJZ06KNRnXdJo3CCfF6i6TTSM7TUGgDc0XB+Ytw9yatxLznYL2xLl1Lpk6euxnTd5QAId1oaHJvuZiL6uS1q0phfWKNiW7XvJ6sWvxrbfeWrp06TvvvKMSf8WKFapBVYmq7lcZ+sQTT6juvPPOO1VxDgxTVTFs2DB92FBbHzBUaqjI6N69e+/evc0VeCo0VYiY4lI9qiZVbqpqzMvL062qRvP9ptqmXlSZqCpHDZU+5tOU+WTlfAwzlaJ1/rJefxcf83Ns5KfTtLCUiBPVpjTUhJhT1KY6NGepVRqqoSk1nzm1qLYamkxVippe88lTM6+GKnhVjeaiC1NHalGxULDU0McD3eqTgBZV/SuIulVNqU8Faiusaqiy1Go9evRQj+JrOs3FHuo0n1TNFZ/64GGuA9GATqc+b2hM3apTh4qODXWq4TyQs6YaplNrajU9qNkNs7nKX3VqfPNtuIpg7YyOMa2mFdSvhvkko06to07zvEy5bD5mm07zeVubm6dsxjT3muelu5wLWNWvTt2lfVan2TfzcV23ZihRv+ZWi5pzPZYGUSpMocA6VlCmg8ADOLmcGtF8srJ+d2J+YmJOZKouVHW4bNmy119/XbXgokWL1FYhOHfuXJV9Q4YMKS4uVsE3YMCAnj17lpSUKB+rBDTpXLfKu507dza1hYoMVR6mEFFD9YrqEnP6vFmzZqpjdGuqH5U4qoSs78EjK6Tkv4lGAI0cOTKFPHusoEwHgQcAhzlr7pxQNwWfijznK29zjZf5IltVoKn5li5dumrVqmeeeWbx4sXPPffcgw8++OKLL6ryW7JkyR133DF06NDhw4c7vwtW5WcuLJOLLrro0ksvvfDCCy+55JILLrhAjYKCApWD5sdA6snPzzcnZvLy8tRvfv3TqlUr8xVzVlaWisXmzZurJzMzs0XYGWecoX6VjGqbwjEjI6Nx48bmSk0VlOYEmKpJLZorNVVNmlNlkddsmAs5zC+BzK+CUr45rWh1Old21tipB43sdK4Yie40a5rfiIhzVZ9ZwexAzE7zaxLTaX7JpJGdzpSI352Yb42tH6NE7qf5aZTzsxXT6VzVGjmmc67RzKr51l63mt6XXnqJPGvx+3RUV1dPmTJFLxW9qKZOnarFuo1D4AEgUL76hqkmne+XD4WZ4tKcR1Qpaa7iMJeFmdOKzs9FzTfRzhVjkZ3mOlFTmKrTGa0OnWZYc1WJs2Pm8hLnx6pmBbc6o//GSuI/vOL8YDbyarnIb/DJsxa/T0d5ebk+6GwKU2PBggV1G4fAAwDgHfKsxe/TUVhYWFFRYdpqFBUV1W0cAg8AgHfIsxa/T0dGRoY5YymVlZWhUKhu4xB4AAC8Q561+H06UlNTq6qqTFuNtLS0BCsn/o3DCdlfAACCiDxr8ft0cAYLAAD/I89a/D4dXIMFAID/kWctfp+OsrKyeL8irFUsCTwAAN4hz1r8Ph3V1dWTJ08OhZWWlkb+HSwKLAAAfII8awnKdBB4AAC8Q561BGU6CDwAAN4hz1qCMh0EHgAA75BnLUGZjjr8b3AAAJC8k53q/SVA0+Fu7IMzmusD+nk01wcMzmiuD+jn0VwfMDijuT6gn0dzfUA/j+bFgPVdgKbDz4emn0dzfUA/j+b6gMEZzfUB/Tya6wMGZzTXB/TzaK4P6OfRvBiwvgvQdPj50PTzaK4P6OfRXB8wOKO5PqCfR3N9wOCM5vqAfh7N9QH9PJoXA9Z3AZoOPx+afh7N9QH9PJrrAwZnNNcH9PNorg8YnNFcH9DPo7k+oJ9H82LA+o7pQM142TRIhLWhIrINFZGtX4gWasarukEirA0VkW2oiGz9QrRQM17VDRJhbaiIbENFZOsXooWa8apukAhrQ0VkGyoiW78QLdSMV3WDRFgbKiLbUBHZ+oVoAQAAuIwCCwAAwGUUWAAAAC6jwAIAAHAZBRYAAIDLKLAAAABcRoEFAADgMgqswKmurp4yZUooFMrMzJw6daoWnbvefffdgQMHNmvWLCcnZ+HChclvm2BMnDAp34jsXL58eXFxcXp6enZ29sSJEz/77LPoDQmrz8WM7MaNG4cNGxYKU0OL0RsSWT87nugQ2XqBAitwysvLCwoKNoWpsWDBAtO/bt26Nm3aPProo59//vnWrVvHjh2b/Lbx+nHiWWl4wIABFRUVBw4c+PTTTydNmjR06NDoTQhrvWBFtrCwcPr06XvCpk2bpsXoTYisnx1PdIhsvUCBFTh6I1bGNW01ioqKTFsV1fz582Nu4ryzx9s2Xj9OvAR/63n//v3NmjWLXpOw1gtWZJs2baqAmva+ffu0GL0mkfWzOkSHyNYvFFiBk5GRsWvXLtOurKwMhUKmnZWVNXPmzOzs7ObNm0+YMEEfi51NnFd1vG3j9ePES1BgLV26tG/fvtFrEtZ6wYrs6NGjZ82atXfvXr1UZ8yYocXoNYmsn9UhOkS2fqHACpzU1NSqqirTViMtLc201Rg/fvynYWPGjLnuuuuS3zZeP068eAXW6tWr8/Ly1q1bF30XYa0XrMh+8sknbdu2NddmqbF9+/boTYisnx1PdIhsvUCBFTgJPvpo0bRVY7Vo0aJW2/KxySdiFlgrVqzIzc19++23Y25CWOsFK7IlJSXTpk1zrsHSYvQmRNbPjic6RLZeoMAKnHhf0vfq1Ut1lWnv3LkzZoHFF//+F11gLVq0KCcnZ9WqVfE2Iaz1ghXZJk2axLsGy0Fk/ex4okNk6wUKrMApKyuL+TOThQsXjhs3zvmK8Prrr3c2cd7Z420brx8nnpWG58yZk5ubu3bt2gRrEtZ6IfpXhDNmzDBnsG6//faYl0ITWT+rQ3SIbP1CgRU41dXVkydPNn8+p7S0NPIPpcyaNatFixaZmZnXXHNNzIvc422bYEycMCnHitkpBw4ccO4yDcLqczEju379+kGDBp0ZNnjw4A0bNkSubxpE1s/qEB0iW79QYAEAALiMAgsAAMBlFFgAAAAuo8ACAABwGQUWAAAnWrx/xF7bf+T8/PPPX3rppY0bN9Y411577c6dO+M9Ysz/Gp7k/4eOt7cxf4EBg+kAAOBEi/eP2Gv7j5z79ev31FNP7dmzZ//+/bNnz1YZlPhxrTIoyf8PHW9vKaoSYGoAADiZIv8R+/H8EVEVQDH/5Gyk6D+oVtu/TRq5txRYCTA1AACcTJH/iL3O/wbn4MGDd999t3NuKR6rJKrDf9eJ3FuN1qJFC1V1nTt3vueee44cOVLj5sFBgQUAwElj/SP2uv0jZ3MJVMuWLT/++OPED2cVWLX9/9Ax/2384cOHV65cWVRUdNtttyXePFAosAAAODmi/xF7nc9g7du375e//GXv3r3NYrwLz5M8gxVz88T/Nn7r1q38e+lIFFgAAJwEMf8R+/Fcg6Uay7k6Kp46X4NV47+N37ZtW1ZWVuJHDxQKLAAATrR4/4i9tv/I+Zprrvnwww+rqqr++9//3nzzzbW9BivJ/w8db2/HjBmzZs2aL7/8UvtQUlJyyy23JPn0g4ACCwCAEy3eP2Kv7T9yXrJkSdeuXU877bQ2bdpMmjRp9+7dST5i4mGT3Fvz6I0bN+7QocP06dMPHTrk4hTVdxRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcBkFFgAAgMsosAAAAFxGgQUAAOAyCiwAAACXUWABAAC4jAILAADAZRRYAAAALqPAAgAAcNn/AyDAgpTLzC0KAAAAAElFTkSuQmCC)
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