Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit350-07-20021005_122300_20021005_170800-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/10/05 |
Start Time | | 2002/10/05 12:23 |
End Time | | 2002/10/05 17:06 |
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 | | -4.27 |
Dipole Tilt, in Y-Z GSE plane, deg | | 28.79 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 155.10000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit350-07-20021005_122300_20021005_170800-constBx0 |
Minimum Dst Value | | -102 |
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 Cluster-1 for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUATW9uIEphbiAxNCAwMTo0NTozOSBFU1QgMjAxOZ5XFsYAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzNTAtMDgtMjAwMjEwMDVfMTcwOTAwXzIwMDIxMDA1XzIxNTQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMi0xMC0wNVQxNzowOTowMC4wMDBaIiwgIm1heCI6IjIwMDItMTAtMDVUMjE6NTI6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjowLjExMjQ5NjQ5OTUsICJtYXgiOjAuNDY3ODczNTAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfV3W5fMAAAAEZ0FNQQAAr8g3BYrpAAAl2ElEQVR4nO3dfXAV9fX4cUyQhNDmeyMpMUgimNJqJ6Q1o47pFQQMPuFzHZtKESu1tAojbc0DBqW0FdpOccQZTWyqHf9QMXaQ0RI6jpV2tFYmlGmbGgQVCdECCRQhaEKM4XcmO7+d7d27m73J5vLJPe/XH8zezT6dz9ndc+5lczPmJAAAAEI15lQfAAAAQKqhwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkKVmgzVmTGrGBQAjaiRunm+88cb06dMH3fJI7PpU1QJqEE5qa7A46QHAx0jcJC+55JKNGzeekl3TYIUoJYMaUak5Xom+Vdq8efOsWbMyMjLy8/MXLVp04MABezEne/n+/v6qqqpIJJKTk1NTUyMv4+7Fa7H33nvvmmuuiQyQCXkZd/UtW7bMnTs3MzNTjmrx4sWHDh3y36zXfK/tOAMMcthe871GyUvcJWM2kp2d7b/TI0eO3HbbbWeccUZubu6qVauGfPB6Rj7Rg/HfeGdnZ0FBQZCLIqGRHwlecZ122ml5eXkVFRXt7e0+qw/h+Pfv33/XXXdNnTr19NNPl7WuvPJKucPEPZiYmTLxla98xbkLmT7vvPOcC9g/2rlz50033SSXwLhx4y644ILnn3/emv/RRx/JcU6fPn38+PGy9+uvv/6VV14Z9JjdBzPkBdzkcu7p6Rn+rodgpHsCrywMbb9hHe2g94Rktkqa27LUjDzRe8ScOXPkDZbU7GPHjq1evVrqkP926uvrS0tL9wyQiYaGhoQWKysrq62tPTJgxYoV8jLu6vPmzWtqaurq6jp48OCSJUvmz5/vv1mv+V7b8RqNRLcf+q3koYceuvfee/13evvtt0tpPDDglltuefLJJ4d28HGl5MgnejD+G5cGYs2aNc5lQhn5keAV12efffbhhx/++Mc/vuSSS3xWT/T4P/jgg7PPPls229ra+sknn0gj+9JLL11xxRVxDyZmpkxIkX7xxRftH73wwgsyx91g7d69W7rDX//6121tbdK7vPnmm9/4xjesH8m+7rzzTlngxIkTHR0dzz333KWXXup/zHEPZsgLDHmVUddg+WTh1DZYg26NBis5RlnkchLfc889eQNkwn5XJCmUqjxlyhR5V2q9/OUvfzlp0iR5Y3H33XfLjcZe7OT/vjV370IqUFZWlnN5N2mJpFZZ0zIRjUYTWky2L52cNX306FF7dz5k+QkTJvhvNshRObdjiwkz0e2HeyuRZE2bNk2qlP9OJ06cKI2CNS09ll0jhzM4caXeyAc8GJ+NS+tQVFTU3d3tXGaYI//pp5/ef//9hYWFkUhEKpY10+d6r6urkz4mMzPz4osvbmlpsea/8sor559/vsyUH1mdkPtij4nro48+Gj9+vEx8//vft9t08cQTT8gc/+OPO0R33HGHvGvyGrpBG6zGxkbnLiS6559/3n3wt956689//vO4u5BwJCivA3Du1OcmedJj8P1vnomu4r5vx02r12ngtGvXLmluJJbs7Owbb7yxs7MzSDj+O5UTQDYoy8tAxY3XJwte55v9Msi5Ku8Bfvazn02dOjUnJ+c73/nO8ePH446bF69LOO5F4dzgoIPpdWDuq9i9ryBFfObMmc8++6x9wNK/5ufnBzmrTTPKGixJXnl5efuAOXPmPPDAA9Z8yc31118v70ftl7LYBwNk4ic/+Yk9P2Yihpwoa9eutd/cy2K5ubnSABUXF69fv76vr8+aL6edfc7Je0Q5meJuzWuxm2++WY5cTpcjR46sXLlSXg4a+KZNm2bPnu2/2SBH5dyOLWY0Et2+1yj580qB3Gvkih30YKTBkpfWtHRagx5kwJS5pd7IBzwYn41fffXVTz/9dMwqwxx5KVRySO++++5///vf5cuXWzN9rvcbbrjh/ffflwt29erVdkcid+Hf//73csuWO/LixYu94rImpEjs37+/urra+oBHOoxZs2Y999xzMr1hwwaZ7u3t9T/+uOewHIPUp7gxeq3ivC/JUU2fPv2vf/2rvNy6datMyxz3jUuKk9ejBVddddUtt9zy+uuvf/LJJ16HcTLATdJn8L22megq7vt23LR6bdappKTk1VdflZDlvrp06dLvfve7wcOJu1O5M8tIfjjg8ssvjxuCTxYGbbCCnKvr1q277LLL9uzZIxfFt7/97R/96Edxx82LT6bcR+Xc4KCD6XVgca/imH0FKeJ//OMfzzvvPDnzrR/J+PziF7/wD9ZMo6zBOuecc9566y1rWt5qyNtoa1pys3fvXnsxeWkv9u9//9u5WMyEk9Vly1u6d955xzlfroHm5ma58OwzJi0tzbr5CplIT0+Pe7Rei1n/iWDtTiYGvU527Ngxbdo0+67ttdlBjypmO87Agxy2//bdo+QvbgrkivrSl77U2to66MEsXLhwwYIFBwfI+8ixY8cO5+C9pOTIBzwYr42//PLLF110kfWckHOVYY78F7/4RfvDA5vP9S69kTX98ccfWx9BiYKCgkceeWTfvn0+cY35X/IWXG4R1o8OHDggI1NTUyP/2g9iJnrmyKno7GzcHxW4V4n56eOPP37dddedHPjPvt/85jfuBay9dHd3xz2Ao0ePSg376le/mpmZKQN47733xn3rP+hN0mfwvWJPdBX3fTtuWr0260VGYMqUKcHD8drpzp07rWlZMW4IPlkYtMEKcq6ee+65b7/9tjUtJ6QUC3sx57h5SajB8tpg3MH0OrC4V3HMvgIW8QsvvNB6F7d79245AEmNVywmG2UNltwy7BNaJuSlNS25cT4ZKi+9FouZiCEn06pVq2bOnOn+kbzPCPKJgvNm6rWY9O8rVqywn8GSl3FXt8i72MLCwm3bttlzhvZRgXs7tmF+juI1Sv7ipmDDhg3XXnttkIM5fPiw9FVSHeVN5IMPPnjmmWcO/+BjpOTIBz8Yr43PmDHjtddec68yhI/fnGe789K2+VzvcY/873//+w033DBx4sTp06fb/6/ntbB1PLW1tfYzl0LeT8sC9v9R+hy/FzkVfZrX008/PeZ/uCQu6eGci8kC+fn5zzzzjPxr/y9bzHZ8PjuxyS1ROqdFixa5n7c7GeAmGXDwnRJdxX3fjvmp/2ad5G2A5FFuCNZJZffBiYbjXN7OVMz/htuG8wlWkHNVuj3nmwHneRIzbu7C4d6az49iNjjoYHodWNyrOGZfAYv4pk2bvvzlL/f19X3rW9+STtQrEMONsgYr4Dsk55szmXAv5vNf19JjuR9PEe3t7XI5WdPDfAZLzs6Az2BJwzF58uTt27cH2azPUcXdji1m9IbzMI1zlPzFvfi/9rWvvf7660EOxunRRx+VZmv4B++UkiOf0MF4bXyMy/APXkiZSegTLJ8jl9v0H/7wB7vnjrnYYxaWK9H+0OIf//iHvFfeuHHjWWedZX+MneiZIw1NTU1NzEx7p+edd96bb77p/NHf/va3qVOnxiy2du3asWPH2v8t4q7WcsKvWbPG/0gs8i7u85//vHv+oDdJr8H3uXkO4ROsIC+DfIIlM5966il53yUlWf51j1ii51KQT7B8suBs1OxPX/bv35/QuSodxvvvv++zcX8+i/lfFIMOpteBxb2KY/YVMBEyMvJerrKyUq4O+wHBUWeUNVjydtP+71tpsVeuXGnNd18kl19+ufV4gUy4HwX4whe+4Px/qIULF8rL3t7effv2LV261H7DV1FRIWeAZFd+KvtdtmyZNb+uri7ILxZ5LSa3bDly6xOs++67z+uWvW7dusLCQvsiH3SzXvO9tuMcruFs32uU/Lkv/s2bN3/9618PGOyCBQvkHJABfPbZZwsKCuzPqxM9+LhScuQTPZggG3euMsyRf/DBB2fPnv3ee+85n94Ifr3bxyz3bjlmKVrSSlozYy5257qHDh26//77L7744pMDz1/KDf0vf/mLTL/44ovnn3++9T99Pscft4Dt3btXdm3/FqGE89JLL9lLypsB2cuf//znowO2bt1aXFz8q1/9ymeDJ+M1WLt375aq/NBDD8nI9PT0bNu2zf79tUsvvfS55547cOCA3NDkmJcsWXLVVVfF3ab/TdJr8GPG0ylgvrwG0Oul12adZDReeOEFGQo5hWQo3COW6Lkky9vPYF1xxRVxQ/DJgr283N5Xr14tZ5fk4rrrrkvoXH344YflmGWOLPavf/3rm9/8pv94xvBZzOeiOBlgML0OLO5VHLOv4CeJvCGUmb/97W8DBmWg0XSsJwc+UZQbvfULCDJhf9LovkisX5DJycn5wQ9+4Pw9BWtCik0kErFfNjY2lpSUjBs3Tkq13I+kZ3fOz8jIkC5bTgt7d9JcS2dtfZFVdXW1z/dgxV1MLssrr7zy/wbINfzuu+/GXd39UUFXV5fPZr3me23H/SP/7XjN9xolL3F3enLg2wg3bdoUcAyfeOIJuStlZWXNmzdvx44dgy4fMGUpPPKJHkyQjTvTN8yRl25A3mxMmTJFrlmpWNbM4Ne7NSHdtry3zszMlPbo1VdftWbGXOzOSM844wypedYFeNttt1kPPFnkGKxftvA5/jEe9/q2trY77rhDzs+xY8dOnDjxxhtvfOONN+zR+N3vfnfBBRdYl79MPPXUU4NucIyrwp0c+F1O2bIcldy4LrzwQvsbmP70pz/JfBlGGYdp06bdfffd9g0tZpv+N0mvwY8ZT6eA+fKK1+ul12ad5O2ZpP7000+XdxGPPPKIe8QSPZdkge9973syODJEP/3pT2XLcUPwyoK9HXmXIh289duCjz32WELn6meffSaxnHvuuXIZSl9u3x69xtMZRdx7rM19USQ0mF4HFvcqjtlX8JNEBnP69OmffvppTGj+sRtlNB0rACAUo6tQnVr//Oc/pVU91UdxivX19dm/S5Qc11577TPPPJPMPYaOawwA1KHBGtTy5cv379+/d+/eyy677Ic//OGpPpxTrLm52f5twZH22WefPf744zNmzLC/qWGU4hrDiHD/h5SBN/RRcZCJSsmgEDrOikE9/PDDU6ZMmTRp0p133jlKvyYgRJ/73Ocee+yx5OxLTs6pU6dKS5ec3Y0crjEAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMi0NFhxf3cdAAAk2anuCJJETZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeU4lePU+VQdAADG0lOOkx1nf39/VVVVJBLJycmpqamRl15LdnZ2FhQUODMxnIZJT0YBADCWnnKc7Djr6+tLS0v3DJCJhoYGryXvuuuuNWvWxDRYQ96vnowCAGAsPeU42XGWlZU1NTVZ0zIRjUbjLtba2lpUVNTd3U2DBQBAytBTjpMdZ3Z2dmdnpzXd0dERiUTiLnb11Vc//fTTJ/83EzKdm5ublZVVXFy8fv36vr6+4PvVk1EAAIylpxwnO860tLTe3l5rWibS09Pdy7z88ssXXXSR9XiWOxM9PT3Nzc3RaHT58uUxP+KrYwEAMJmecmziJ1gzZsx47bXXrGmvTLS1tXl9+hWXnowCAGAsPeXYxGewgnz41N7enpeXF3y/ejIKAICx9JTjZMdZV1fn9VuEcQfdObOioqKlpeXEiROtra3l5eXLli0Lvl89GQUAwFh6yvEp+B6sysrKyIDq6mrn92AN2mA1NjaWlJRkZGQUFRXV1tZ2d3cH36+ejAIAYCw95TiV4+QhdwAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKdynDzkDgCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU41SOk4fcAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynMpx8pA7AABG0VOOkx1nf39/VVVVJBLJycmpqamRl15LdnZ2FhQUODMRfF03PRkFAMBYespxsuOsr68vLS3dM0AmGhoavJa866671qxZ48xE8HXd9GQUAABj6SnHyY6zrKysqanJmpaJaDQad7HW1taioqLu7m5nJgKuG5eejAIAYCw95TjZcWZnZ3d2dlrTHR0dkUgk7mJXX331008/ffJ/MxFw3bj0ZBQAAGPpKcfJjjMtLa23t9ealon09HT3Mi+//PJFF11kPWLlzMSg647xNSLxAACAwPSUYxM/wZoxY8Zrr71mTfMJFgAAKUNPOTbxGSyvD594BgsAgFFNTzlOdpx1dXVevwkYd9CdM33WHZSejAIAYCw95fgUfA9WZWVlZEB1dbXzu6wGbbB81h2UnowCAGAsPeVYTZxqMgoAgLH0lONUjpPfIgQAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynEqx8lD7gAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOU7lOHnIHQAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx6kcJw+5AwBgFD3lONlx9vf3V1VVRSKRnJycmpoaeeleZvPmzbNmzcrIyMjPz1+0aNGBAwes+cNpmPRkFAAAY+kpx8mOs76+vrS0dM8AmWhoaHAvM2fOnI0bNx45cuTYsWOrV6+eO3euNX84WdGTUQAAjKWnHCc7zrKysqamJmtaJqLRqP/yXV1dWVlZ1jQNFgAAo5qecpzsOLOzszs7O63pjo6OSCTis/Dx48fXrl07f/5866VkJTc3V/qt4uLi9evX9/X1Bd+vnowCAGAsPeU42XGmpaX19vZa0zKRnp7utaT1oNWkSZPeeecd5/yenp7m5uZoNLp8+fK4q3gJPRYAAJAQPeXY6E+wjh49umrVqpkzZ7p/1NbW5r9uDD0ZBQDAWHrKsenPYEmPNWHCBPf89vb2vLy84PvVk1EAAIylpxwnO866ujqv3yK0B33hwoWtra29vb379u1bunSp/QxWRUVFS0vLiRMn5Kfl5eXLli0Lvl89GQUAwFh6yvEp+B6sysrKyIDq6mrn92DZg97Y2FhSUjJu3LiCgoIlS5YcPnzYOT8jI6OoqKi2tra7uzv4fvVkFAAAY+kpx6kcJw+5AwBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJXj5CF3AACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcynHyW4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlO5Th5yB0AAKPoKcdDj7O7u3vlypVFRUWZmZny7wMPPNDT0zPoWv39/VVVVZFIJCcnp6amRl66l9m8efOsWbMyMjLy8/MXLVp04MCB4Ot60ZNRAACMpaccDz3OZcuWzZ07t6WlRTot+XfOnDn33HPPoGvV19eXlpbuGSATDQ0N7mVkUxs3bjxy5MixY8dWr14tewm+rhc9GQUAwFh6yvHQ48zLy2tvb7dfyrTMGXStsrKypqYma1omotGo//JdXV1ZWVlDW9dJT0YBADCWnnKc7AYrOzu7s7PTmu7o6IhEIj4LHz9+fO3atfPnzx/CujH0ZBQAAGPpKcfD+i/C8vLyt956q7u7W/6V6SD/RZiWltbb22tNy0R6errnkQ2YNGnSO++8E3DdMb6GEiQAAAiPnnI8rIfca2trzznnnMzMTPn3/vvvD/KQe0KfQh09enTVqlUzZ84cwrox9GQUAABj6SnHyY4z0eeopMeaMGHC0NZ10pNRAACMpaccJzvOuro6r98EtAd94cKFra2tvb29+/btW7p0qf0Mls+6g9KTUQAAjKWnHA89zpaWlmg0On78+ISec+rv76+srIwMqK6udn6Xlb16Y2NjSUnJuHHjCgoKlixZcvjw4UHXHZSejAIAYCw95XjocV588cWrV6/++OOPQzyacPGQOwAARtFTjoceZ2Zm5vHjx0M8lBGlJ6MAABhLTzkeepxnn332+++/H96RjCw9GQUAwFh6yvHQ43zsscduuOGG/fv3h3g0I0dPRgEAMJaecpxYnP7f5GnyqJl8bAAAKKGnHKdynKOl+QMAQAk95XjocZ522mkhHsdI05NRAACMpaccDz3Os8466z//+U+IhzKi9GQUAABj6SnHQ4/zoYceuummm/bu3ZvQF36eKnoyCgCAsfSU46HHyUPuAAAgIXrKcSrHOVqaPwAAlNBTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085TuU4+S1CAACMoqccJzvO/v7+qqqqSCSSk5NTU1MT90tKt2zZMnfu3MzMzPz8/MWLFx86dMiaP5yGSU9GAQAwlp5ynOw46+vrS0tL9wyQiYaGBvcy8+bNa2pq6urqOnjw4JIlS+bPn2/NH05W9GQUAABj6SnHyY6zrKxMmidrWiai0aj/8seOHZswYYI1TYMFAMCopqccJzvO7Ozszs5Oa7qjoyMSifgvv2nTptmzZ1vTkpXc3NysrKzi4uL169f39fUF36+ejAIAYCw95TjZcaalpfX29lrTMpGenu6z8I4dO6ZNm7Zr1y7nzJ6enubm5mg0unz58pjl4/55RB5yBwDAEHrKsbmfYG3durWwsHDbtm1xf9rW1jbop19OejIKAICx9JRjQ5/B2rBhw+TJk7dv3+61nfb29ry8vOD71ZNRAACMpaccJzvOuro6r98itAd93bp1hYWFO3fujFm3oqKipaXlxIkTra2t5eXly5YtC75fPRkFAMBYesrxKfgerMrKysiA6upq5/dg2YPufnyqq6tL5jc2NpaUlGRkZBQVFdXW1nZ3dwffr56MAgBgLD3lOJXj5CF3AACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp3KcPOQOAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6Th9wBADCKnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKcynHykDsAAEbRU46THWd/f39VVVUkEsnJyampqZGX7mW2bNkyd+7czMzM/Pz8xYsXHzp0KPi6XvRkFAAAY+kpx8mOs76+vrS0dM8AmWhoaHAvM2/evKampq6uroMHDy5ZsmT+/PnB1/WiJ6MAABhLTzlOdpxlZWXSPFnTMhGNRv2XP3bs2IQJE4a2rpOejAIAYCw95TjZcWZnZ3d2dlrTHR0dkUjEf/lNmzbNnj17aOs66ckoAADG0lOOkx1nWlpab2+vNS0T6enpPgvv2LFj2rRpu3btCrjuGF9hhwIAABKjpxyb+wnW1q1bCwsLt23bNoR13fRkFAAAY+kpx4Y+g7Vhw4bJkydv3759COvGpSejAAAYS085TnacdXV1Xr8JaA/6unXrCgsLd+7cGXzdQenJKAAAxtJTjk/B92BVVlZGBlRXVzu/y8oedPfjU11dXf7rDkpPRgEAMJaecqwmTjUZBQDAWHrKcSrHyW8RAgBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJXj5CF3AACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccp3KcPOQOAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JTjVI6Th9wBADCKnnKc7Dj7+/urqqoikUhOTk5NTY28jH9Y8bqi4TRMejIKAICx9JTjZMdZX19fWlq6Z4BMNDQ0+CzsbrCGvF89GQUAwFh6ynGy4ywrK2tqarKmZSIajfosTIMFAEAq0VOOkx1ndnZ2Z2enNd3R0RGJRHwWdjdYubm5WVlZxcXF69ev7+vrC75fPRkFAMBYespxsuNMS0vr7e21pmUiPT3dZ+G4aejp6Wlubo5Go8uXL3cv7yOsEAAAwNDoKcej6RMsp7a2Nv91g28KAAAkh55yPJqewXJqb2/Py8sLvl89GQUAwFh6ynGy46yrq/P6LUL3oMfMqaioaGlpOXHiRGtra3l5+bJly4LvV09GAQAwlp5yfAq+B6uysjIyoLq62vk9WM5Bj/v4VGNjY0lJSUZGRlFRUW1tbXd3d/D96skoAADG0lOOUzlOHnIHAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxKsfJQ+4AABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95TiV4+S3CAEAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriRMAABjgVHcESaIlzuCSk/tU2kvSdsRe2Etq7CVpO2Iv7CWVdjTqMC6xUunUT7ELjL2wl9TYS9J2xF7YSyrtaNRhXGKl0qmfYhcYe2EvqbGXpO2IvbCXVNrRqMO4xEqlUz/FLjD2wl5SYy9J2xF7YS+ptKNRh3FBCLjAzERejEVqzEReECJOJoSAu5KZyIuxSI2ZyAtCxMmEEHBXMhN5MRapMRN5QYg4mRAC7kpmIi/GIjVmIi8IEScTQsBdyUzkxVikxkzkBSHiZAIAAAgZDRYAAEDIaLAAAABCRoMFAAAQMhosAACAkNFgAQAAhIwGCwAAIGQ0WIhjzP/nnPnee+9dc801kQEyIS/dK/b391dVVckCOTk5NTU18tJ/PhISNy9Hjhy57bbbzjjjjNzc3FWrVsVdkbyMqC1btsydOzczMzM/P3/x4sWHDh2y5gcZXlIzcrzyctLjUnIiLxg+Gix4irn7lJWV1dbWHhmwYsUKeelepb6+vrS0dM8AmWhoaPCfjyGIycvtt99eUVFxYMAtt9zy5JNPulchLyNq3rx5TU1NXV1dBw8eXLJkyfz58635QYaX1Iwcr7zYfBos8oLho8GCp5i7T1ZW1rFjx6zpo0ePykv3ktJ1yR3NmpaJaDTqPx9DEJOXiRMnSv2wpqXHuuSSS9xLkpekkWtkwoQJ1rTP8JKaJHPmxeZusMgLQkSDBU8xd5+bb775gQce+Oijj44cObJy5Up56V4yOzu7s7PTmu7o6IhEIv7zMQTuBkuG1JqWTss5tuQl+TZt2jR79mxr2md4SU2SOfNi82mwyAuGjwYLnmLuPh988MHZZ59tPbggEx9++KF7lbS0tN7eXmtaJtLT0/3nYwhi8rJw4cIFCxYcHHDrrbeOHTvWvQp5SY4dO3ZMmzZt165d1ssgw0tqkiAmLzaf/yIkLxg+Gix4irn7lJeXr1ixwn4GS166V+FtXxLE5OXw4cPSV+Xk5OTl5T344INnnnmmexXykgRbt24tLCzctm2bPSfI8JKakebOi82nwSIvGD4aLHiKufuMHz/e6xksGw8uJIFPVXj00Uel2XLPJy8jbcOGDZMnT96+fbtzZpDhJTUjKm5ebD6XEnnB8NFgwZP7twhXrlxpfYJ13333xX1it66uLu6v2HjNxxDE5GXBggXt7e2SlGeffbagoODtt992L0leRtS6desKCwt37twZM99neElNEnjlxebzDBZ5wfDRYCGOMf/Lmrl79+4rr7zy/wZcddVV7777rnN5a6K/v7+ystL6rqzq6mrnl8fEnY+ExM3LE088Ie/Rs7Ky5s2bt2PHjpjlrQnyMqLGuHR1dZ30HV5SkwReeXH/yLmKNUFeMHw0WAAAACGjwQIAAAgZDRYAAEDIaLAAAABCRoOFWIn+5Vqv+T5/aTVG3D+8GvCPqnot5vUQKwAASUDhQaxE/3Kt1/xB/9JqjJg2KOAfVfVajKYKAHAKUYTgJ8hfrg3yzXtx/9JqDPfXbgX5Qj+vxWiwAACnEEUIfoL85dogfzsi7l9ajRHTEgX8kxRei8nWcnNzs7KyiouL169f39fX5793AABCRIMFTwH/cu2gf/3U6y+txohpsAL+UVX/xXp6epqbm6PR6PLly/33DgBAiGiwEF/wv1zr/1GTezteD54H/AQrZvUgH3S1tbXxN1kBAMlEg4U4EvrLtT4PS/n/pdUY4T6D5dTe3p6XlxfkGAAACAUNFmIl+pdrveYP+pdWY8Q0WAH/qKrXYhUVFS0tLSdOnGhtbS0vL1+2bFnAwwAAYPhosBAr0b9c6zXf5y+t+u/Rf7MxvBZrbGwsKSnJyMgoKiqqra3t7u4OcYgAAPBHgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ0WABAACEjAYLAAAgZDRYAAAAIaPBAgAACBkNFgAAQMhosAAAAEJGgwUAABAyGiwAAICQ/T9ffphhP135WwAAAABJRU5ErkJggg==)
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