Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit388-11-20030104_170800_20030104_215300-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/04 |
Start Time | | 2003/01/04 17:08 |
End Time | | 2003/01/04 21:51 |
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 | | 15.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -13.43 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 138.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit388-11-20030104_170800_20030104_215300-constBx0 |
Minimum Dst Value | | -16 |
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 Polar for time period of this run.
Choose variable to plot:
![](data: image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMjowOTo1NiBFU1QgMjAxObK/IPkAAAHKdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODgtMTItMjAwMzAxMDRfMjE1NDAwXzIwMDMwMTA1XzAyMzQwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIFBvbGFyIHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAzLTAxLTA0VDIxOjU0OjAwLjAwMFoiLCAibWF4IjoiMjAwMy0wMS0wNVQwMjozMjowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcwOSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjEuMDAyMjg5OTk5NSwgIm1heCI6MS44Mjk3MTAwMDA1LCAidG9wIjo1MiwgImJvdHRvbSI6MjM1LCAidHlwZSI6ImxpbiIsICJ1bml0cyI6IiIgfQogIH0KIF197BM+nQAAAARnQU1BAACvyDcFiukAACGZSURBVHic7d17cBXl+cBx5JYAbX4JUNIgCSCllQ7QyqgDDSAgIIgXtLaNF6BIbVqFkbZyM1xKL9B2CiNOK1hKO85UBexgRgt0HCvtaK0MlLGlhnITQrCEmyEEDUQIv2ey/va3fffs5Zzz7rLZ/X7+YPYsu/u++zx79nn3PQdOm8sAAADQqs2V7gAAAEDcMMACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM2SMsBq0yYpZwoAGgVx83zzzTf79+/veeQgmo5ULYhUZ6BdUrLrdB1zfQOAiyBuksOHD9+0adMVaTpS9/zwOxOp04+9pMQ63UelzZs3jxw5Micnp6ioaNq0abW1tcb6gwcP3nbbbfktZEFeuq9P2ZDBunLr1q1jxozJzc2V5mbMmHHq1KmU+zpt1tzcPHfuXGm6oKBg/vz58tJ9vdPZOW3v1G2X7cXJkyeLi4s9I+9y7ikbbfPflKPZG003OGl1MmqRdw+OwukgTifr1PlAIx8EpyvqqquuKiwsLCsrq6mpcdk9g/4fO3bs4Ycf7tOnT4cOHWSvCRMmSDBTdkZZKQuf//znrU3I8oABA6wbmH+1Z8+eu+++u2vXrh07drz++utfeOEFY/2ZM2ekn/379+/UqZO0fuedd7766quefbZ3JuMN7PLy8s6fP5990xkIdIRhXktyIU2dOtXpTq6lM2EOlRiWZSYpUUv3HjF69Gh5wKqrqzt79uzSpUul3hjrhw0bVlFRUddiwYIF8tJ9vc/mxo0bt2XLloaGhuPHj5eXl0+aNCnlXk6brVmzZsiQIe+2kIW1a9e6r3c6O6ftnbrtvr1UlGXLlnlG3vPc7eXQ5Wj2RtMNTlqdjFrk07oPOh3E6WSdOm8IKPJBcLqiLl269N57733ve98bPny4y+7p9v/o0aO9e/eWw1ZVVX344YdSdF9++eVbbrklZWeUlbIgQ6WXXnrJ/KsXX3xR1tgHWPv27ZOi/vOf/7y6ulrGLm+99daXv/xl46+krYceekg2uHDhwokTJzZs2HDTTTe59zllZzLeIONdWuMAy1iQpH/lK1+57777gusMA6zoa/VRk1vJo48+WthCFsynIrkgVq5c2atXL3kqNV7+9Kc/7dGjhzzePfLII3KjMTe7/N/P/fYmpNJ07tzZWJYFqS7Gcn19ved6Jy7XqxynS5cunidu3UzGc1IRjWVZKC0tdV9vZT07z+2VbrtsL7WkX79+jY2Nab0zU567/wFWykazCY5nJ6MW+bSi7aeTTlejtfOXg4n8Rx99tGjRopKSkvz8fBk3GCtd3u+rV6+WcUxubu7QoUN3795trH/11Vevu+46WSl/ZYyE7G92JWhnzpzp1KmTLHzrW9/6zW9+Y65ft26drHHvf8r4P/jgg/LQlfIcnXax9m3jxo3WJuTsXnjhBXvnpZb/6Ec/StmEnI6clFMHrI263CQvOwTf/eaZ7i72+3bKtDpdBlZ79+6VIaacS15e3l133XXy5Ek/p+PeqFwAckDZXgLlnjghzyfdunXzbMuzt9aAWBuyX8bWLT1PXx4nfvjDH/bp06egoGD69Onnzp0z1tvfd/a2/JTdESNGPP/882aHZdxfVFTk5zqMk1Y/wJJLYezYsTUt5Al78eLFxnrJ9J133inPo+ZL2exoC1n4/ve/b65XFhRy2S1fvtx8iL/nnnukCblK5Dl+4cKF8tJ9vROXQlhZWTlq1CjPE7duJm8h8/0jT6jyxnBf73R2ntsr3XbZ/tZbb3322Wfdz9T9pJwalZfdu3eX6j5w4MBVq1ZdvHjRvdGMg+Onk1GLvEtw7PxEIGVGlM5fDibyMlyQpg8cOPD+++/Pnj3bWOnyfp88efKhQ4ekb0uXLjVHJHJP//3vfy8FQO7vM2bMMDe2NmQtOceOHZs3b54xwSMjjJEjR27YsEGW169fL8tNTU3u/U95tUsfpNqlPEenXaz3JelV//79//rXv8rLbdu2ybKssd+4pNQ5fTNh4sSJX/3qV994440PP/zQqRuXfdwkXYLvdMx0d7Hft1Om1emwVoMHD37ttdfklOW2PHPmzG984xv+Tydlo3Jjl0i+12L8+PFpDbA84+DSW2tAnNqyb+l5+itWrLj55pvfffddeX898MAD3/3ud431Kd93Slt+yu4f//jHAQMGyLVq/JW8+37yk5/YzyLeWv0A65prrnnnnXeMZXnUkMdoY1kyffjwYXMzeWlu9q9//cu6mbJgZYzZ5ZFu//79xhpjtt9YLwvm1ey03onT/WXXrl19+/Z1uR2n3Kxt27bGrV/IQrt27dzXO52d+/b2bjtt/8orr9x4443GF0f8D7Cczt3pyXjHjh1y7zNvAU6NZhYcn52MWuQN9uCk5NloyozYOx9Q5D/zmc+Ykwcml/e7jI2M5Q8++MCYghLFxcVPPvnkkSNHlFOwn5FJHujlFmH8VW1trURg/vz58qf5nbN0r5z27dtbRzb2iQf7LsrfPv3003fcccfllg/7fvWrX9k3MFppbGxM2YH6+nqpiF/4whdyc3MlgI899ljKiQTPm6RL8J3OPd1d7PftlGl1OqwTiUCvXr38n45To3v27DGWZUf3xEkJKGuRQRyU3loDkrItzy1Tnv61117773//21iWa1vKlrGc8n2ntOWz7N5www3Gc9e+ffukAxLMlN2LsVY/wJJbhnlbkQV5aSxLppVvCjttpiwo5NJcsmTJiBEjjJcybF+wYIH5XSt56b5euZla+2NvSx5PS0pKtm/fbt3Mvrt9s4ynCpSz0zWPMmjQoNdff93lTP2cu1OjVtXV1Z6NapzBin7krazBScn9IC4ZUTqvK/LK1W59a5tc3u/WzcyXf//73ydPntytW7f+/fubn+s5bWz0p6Kiwvr1Mnk6lw3Mzyhd+u/k05/+tMtjQ4cOHZRPuOS8ZAxn3Uw2KCoqeu655+RP81M25TguM1gmuSXKyGnatGkpv+XpeZP0GXyrdHex37eVv3U/rJU8Y0geZbhsXFTmODjd07Fub2bK6csP5jUsTyD333+/XB4+23LprdO/orD307ql5+nLwNH6XGFecinfd0pbPstuZWXl5z73uYsXL957773ynJPyLOKt1Q+wfD4ZWB/OZMG+mfIJt5WUE/NrKHJRpvyuldN6J/Y35/r163v27Llz5073HVNuls2XXaxnp/GbQIoMTsqpUauamhqpK+6N6voOVquIvJU1OCm5HMTzarR2PqDIy5AorRks62bKS7np/+EPf5CBjvHS/nUW60t5I5uTFm+//bY8eW/atOnqq682Z+zSvXJkQDN//nxlpdnogAED3nrrLetf/e1vf+vTp4+y2fLly9u3b29+yGIfYN13333Lli1z74lBHgI/+clP2td73iSdgu9y88xgBsvPSz8zWLLymWeeOX36tBR4+dMesXSvpbRmsBSebXn21s79MvY8oAx9Dh06ZD9syved0pbP0Mn7Tp6+5syZI9ez+ZW+RGn1Ayx53DQ/DJYB+8KFC4319jfJ+PHjja8XyIL9I/BPfepTVVVV5vZTpkyRl01NTUeOHJk5c6b5wCf3VmnCmKl6/PHHrTUj5XonSvdWrFhRUlJivnudOG22evXqlP+syWm909k5be/Ubc/t7bv4PymnI5SVlclbWt6ucgqS+lmzZrnvkm5w0upk1CLvJzieB3E6WafOO/Uzy8j/+Mc/HjVq1MGDB63fBfH/fjcDIpVAAiIDLBkyGiuVN7t131OnTi1atGjo0KGXW75qJuXhL3/5iyy/9NJL1113nfFJn0v/U17thw8flqbNf0Uop/Pyyy+bW/7yl7+UVv785z/Xt9i2bdvAgQN/9rOfuRzQut5c2Ldvn4wgV65cKZE5f/789u3bzX9FeNNNN23YsKG2tlZyJ30uLy+fOHFiymO63ySdgq/E08pnvpwC6PTS6bBWEo0XX3xRQiGXkITCHrF0ryXZ3vwO1i233JLWAMuzLc/e2rlcxn4O+MQTT0iX5Ajy7vjnP//5ta99zVif8n2ntOU/rfKoJit//etf+4lS/LT682xsbJQqYvxzBlkw5y3tbxLjH8gUFBR8+9vftv8jDikq+fn55suNGzcOHjy4Y8eOxcXFcj+SJwBjvdzFJkyY8D8t5M124MAB9/V2KZ/17XMADQ0Nnvuam8mDgjwlGP8L17x586z/4VDK9U5n57S9U7ddtrfu6BQKz3NP2ajR+ZycHHlskvd5yu+dWBtNNzhpdTJqkfcTHM/IOJ2sU+cDiryMBuRZpVevXvKelXGDsdL/+91YeP755+VJPTc3V4ZHr732mrFSebNbz7Rr16533HGH8f6dOnWq8YUng/Rh+vTp7v13utqrq6sffPBBGWa1b9++W7dud91115tvvmlG47e//e31119v3D1k4ZlnnvE8YJtUBVhKoBxZeiU5uuGGG8z/B+tPf/qTrJcwShz69u37yCOPOOXO/SbpFHwlnlY+8+V0vk4vnQ5rtXnzZkl9hw4d5GnhySeftEcs3WtJNvjmN78pwZEQ/eAHP5Aje/bffxw8e2tnv4zTOv1Lly7J+muvvVZuFzLEr6ysNNanfN8pbflPq1yE/fv3/+ijj/xEKX6Scp4AABfJKXvZ+8c//iFD1Svdi7RdvHhRhvhhtnj77bc/99xzYbYYKbyjAAAMsLzNnj372LFjhw8fvvnmm7/zne9c6e6kbceOHea/FgzapUuXnn766UGDBpn/U0MC8Y5CSOwfPEXwht4qOpmuWJ4UtOOq8PTEE0/06tWrR48eDz30UGv8Twc+8YlPPPXUU+G0JZdTnz59ZEgXTnPRxDsKAABAMwZYAAAAmjHAAgAA0IwBFgAAgGYMsAAAADRjgAUAAKBZUgZYKf+lOgAA0OVKl/poSUo4SDwAAMGhziqSEg4SDwBAcKizigiFw3OO8eDBg7fddpvxG6uyIC99HpCpSwAAAkWdVUQuHC4ZGjZsWEVFRV2LBQsWyEsthwUAAFmizioiFw6XDHXu3Pns2bPGcn19vbz0PBQzWAAAhIA6q4hcOFwydM899yxevPjMmTN1dXULFy6Ul1oOCwAAskSdVUQuHC4ZOnr0aO/evY3pKFl477337Pvyz0cBAAgfdVYRuXC4ZGjs2LELFiwwv4MlL7UcFgAAZIk6q4hcOFwy1KlTJ76DBQBABFFnFZELhz1D5pphw4YtXLjQmMF6/PHHS0tLszksAADQhTqriFA4nCaczOV9+/ZNmDDhf1pMnDjxwIEDmR0QAADoRZ1VJCUcJB4AgOBQZxVJCQeJBwAgONRZRZzDwUeEAACEgzqrSEo4SDwAAMGhziriHA5msAAACAd1VpGUcJB4AACCQ51VxDkczGABABAO6qwiKeEg8QAABIc6q4hzOJjBAgAgHNRZRVLCQeIBAAgOdVaRlHCQeAAAgkOdVcQ5HHxECABAOKiziqSEg8QDABAc6qwiQuHwnGpSZqTy8vJ8HpAZLAAAAkWdVUQuHD4ztHLlyscee0z7YQEAQAaos4rIhcNPhi5cuNC3b9+jR496HooZLAAAQkCdVUQuHH4ytHbt2unTp2s/LAAAyAx1VhG5cHhm6NKlS5/97GerqqpS7usimP4CAAAGWKrIhcMzQ+vXr7/99tu1HxYAAGSMOquIXDg8M/TFL37xjTfe8HkoZrAAAAgBdVYRuXDYM2Rds3nz5i996UtaDgsAAHShzioiFA6nCSfr8vDhwysrKzM7uIYuAgCAVKizijiHg48IAQAIB3VWkZRwkHgAAIJDnVXEORzMYAEAEA7qrCIp4SDxAAAEhzqriHM4mMECACAc1FlFUsJB4gEACA51VhHncDCDBQBAOKiziqSEg8QDABAc6qwizuFgBgsAgHBQZxVJCQeJBwAgONRZRVLCQeIBAAgOdVYR53DwESEAAOGgziqSEg4SDwBAcKizigiFw89U09tvvz1+/PguXbr07Nlz3bp1Pg/IDBYAAIGizioiFw6XDO3du7e4uPh3v/vd+++/X11dfe+992o5LAAAyBJ1VhG5cLhkSEZUv/jFL9I6FDNYAACEgDqriFw4XDJUWFi4aNGioqKirl27Tp06ta6uTsthAQBAlqizisiFwyVD7dq1e+CBB463KCsr+/rXv27f10XAHQcAILmos4rIhcMlQ3l5eSdOnDCWZYzVvXt3LYcFAABZos4qIhcOlwwNHz5cxlXGcm1tLQMsAAAigjqriFw47Bky16xbt+7+++83PyKcPn2656H4iBAAgBBQZxURCofTeMi6vHjx4u7duxcUFEyZMoUvuQMAEBHUWUWcw8EMFgAA4aDOKpISDhIPAEBwqLOKOIeDGSwAAMJBnVUkJRwkHgCA4FBnFXEOBzNYAACEgzqrSEo4SDwAAMGhziriHA5msAAACAd1VpGUcJB4AACCQ51VJCUcJB4AgOBQZxVxDgcfEQIAEA7qrCIp4SDxAAAEhzqriHM4mMECACAc1FlFUsJB4gEACA51VhGhcHhONaU7I8UMFgAA4aDOKiIXDvcBVhCHBQAAWaLOKiIXDo0DLGawAAAIB3VWEblwuA+wunfv3rlz54EDB65aterixYtaDgsAALJEnVVELhyeGTp//vyOHTtKS0tnz55t39dFYF0GACDpqLOKyIXDZ4aqq6vz8/O1HxYAAGSAOquIXDh8ZqimpqawsFD7YQEAQAaos4rIhcOeIXNNWVnZ7t27L1y4UFVVNXbs2FmzZnkeio8IAQAIAXVWEaFwOI2HzOWNGzcOHjw4JyenX79+FRUVjY2NaR1cc3cBAMD/oc4q4hwOZrAAAAgHdVaRlHCQeAAAgkOdVcQ5HMxgAQAQDuqsIinhIPEAAASHOquIcziYwQIAIBzUWYX+cDQ2Ni5cuLBfv365ubny5+LFi8+fP6+9lXSReAAAgkOdVegPx6xZs8aMGbN7924Zacmfo0ePfvTRR7W34gczWAAAhIM6q9AfjsLCwpqaGvNluv/lekBIPAAAwaHOKhhgAQCAbFFnFYF8RDh27Nh33nmnsbFR/pRlPiIEACDeqLOKQL7kXlFRcc011+Tm5sqfixYt4kvuAADEG3VWEedwMIMFAEA4qLOKpISDxAMAEBzqrEJ/OHbv3l1aWtqpU6crPnvEDBYAAOGgzir0h2Po0KFLly794IMP0u6Kv5HQyZMni4uL000kiQcAIDjUWYX+cOTm5p47dy7j3T0z9PDDDy9btsxPIpnBAgAgHNRZhf5w9O7d+9ChQxnv7p6hqqqqfv36NTY2MoMFAEB0UGcV+sPx1FNPTZ48+dixY5nt7p6hW2+99dlnn/XcLN3DAgCAbFBnFXrC0cZLWody+qtXXnnlxhtvbG5udtpMVx8AAEBaqLOKyIXDJUODBg16/fXXPTdL97AAACBL1FmF/nBcddVV2ezukqF0J6WYwQIAIBzUWYX+cFx99dX/+c9/Mt7dniGnTwOzPCwAANCFOqvQH46VK1fefffdhw8fNr4slUZXHCacMh5gMYMFAEA4qLMK/eGI5hfMo9AHAADiijqriHM4ojbIAwAgrqiziqSEg8QDABAc6qwizuFgBgsAgHBQZxVJCQeJBwAgONRZRVLCQeIBAAgOdVYR53DwESEAAOGgziqSEg4SDwBAcKizijiHgxksAADCQZ1VJCUcJB4AgOBQZxVxDgczWAAAhIM6q0hKOEg8AADBoc4q4hwOZrAAAAgHdVYRoXB4joQ2b948cuTInJycoqKiadOm1dbWpnVwHX0EAAApUGcVkQuHS4ZGjx69adOmurq6s2fPLl26dMyYMZ6HYgYLAIAQUGcVkQuHzww1NDR07txZ+2EBAEAGqLOKyIXDT4bOnTu3fPnySZMm6T0sAADIDHVWEblweGbI+LyvR48e+/fvT/lXTgLrMgAASUedVUQuHH4yVF9fv2TJkhEjRug9LAAAyAx1VhG5cPjMkIyxunTp4nkoZrAAAAgBdVYRuXDYM2SumTJlSlVVVVNT05EjR2bOnMl3sAAAiAjqrCJC4XCacDKXN27cOHjw4I4dOxYXF5eXl58+fTqzAwIAAL2os4qkhIPEAwAQHOqsIs7hYAYLAIBwUGcVSQkHiQcAIDjUWUVSwkHiAQAIDnVWEedw8BEhAADhoM4qkhIOEg8AQHCos4o4h4MZLAAAwkGdVSQlHCQeAIDgUGcVcQ4HM1gAAISDOqtISjhIPAAAwaHOKuIcDmawAAAIB3VWkZRwkHgAAIJDnVXEORzMYAEAEA7qrCJC4fAcCW3dunXMmDG5ublFRUUzZsw4depUWgfX0UcAAJACdVYRuXC4ZGjcuHFbtmxpaGg4fvx4eXn5pEmTtBwWAABkiTqriFw4fGbo7NmzXbp08TwUHxECABAC6qwicuHwmaHKyspRo0ZpPywAAMgAdVYRuXD4ydCuXbv69u27d+9e+74ugukvAABggKWKXDg8M7Rt27aSkpLt27frPSwAAMgYdVYRuXC4Z2j9+vU9e/bcuXOnz0MxgwUAQAios4rIhcOeIXPNihUrSkpK9uzZo+WwAABAF+qsIkLhcJpwMpftX6tqaGjI4IAAAEAv6qwiKeEg8QAABIc6q4hzOJjBAgAgHNRZRVLCQeIBAAgOdVaRlHCQeAAAgkOdVcQ5HHxECABAOKiziqSEg8QDABAc6qwizuFgBgsAgHBQZxVJCQeJBwAgONRZRZzDwQwWAADhoM4qkhIOEg8AQHCos4o4h4MZLAAAwkGdVSQlHCQeAIDgUGcVcQ4HM1gAAISDOquIUDj8jIQyHi2ReAAAgkOdVUQuHH4yxAALAIBIoc4qIhcOjQMsPiIEACAc1FlF5MLBDBYAAK0OdVYRuXBkM8Bq40p3TwEAwMeos4rIhYMZLAAAWh3qrCJy4eA7WAAAtDrUWUXkwmHPkJ81GRwWAADoQp1VRCgcThNOyrL/SSlmsAAACAd1VpGUcJB4AACCQ51VJCUcJB4AgOBQZxVxDgcfEQIAEA7qrCIp4SDxAAAEhzqriHM4mMECACAc1FlFUsJB4gEACA51VhHncDCDBQBAOKiziqSEg8QDABAc6qwizuFgBgsAgHBQZxVJCQeJBwAgONRZRZzDwQwWAADhoM4qkhIOEg8AQHCos4qkhIPEAwAQHOqsIkLh8Pwsr7m5ee7cufn5+QUFBfPnz5eXPg/IR4QAAASKOquIXDhcMrRmzZohQ4a820IW1q5dq+WwAAAgS9RZReTC4ZKhYcOGbdmyxViWhdLSUs9DMYMFAEAIqLOKyIXDJUN5eXknT540lk+cOJGfn6/lsAAAIEvUWUXkwuGSobZt2zY1NRnLstCuXTv7vgAA4IoIcHDQCkUuHC4ZymYGS0sHaIVWaOWKtBJaQ7RCK7QStVZar8hFxyVh6X4HS3sHaIVWaOWKtBJaQ7RCK7QStVZar8hFx54wc83q1asz/leE2XSAVmiFVq5sK6E1RCu0QitRa6X1ilB0nD7KNZebm5vnzJmT32LevHme/w9Wxt0I4rC0Qiu0Ev2GaIVWaCVqrbReREfFFRNN5CWayEtkkZpoIi/JQaZVXP3RRF6iibxEFqmJJvKSHGRaxdUfTeQlmshLZJGaaCIvyUGmVVz90UReoom8RBapiSbykhxkWsXVH03kJZrIS2SRmmgiL8lBpgEAADRjgAUAAKAZAywAAADNGGABAABoxgALAABAMwZYAAAAmjHAAgAA0CzmA6ytW7eOGTMmNze3qKhoxowZp06dcl9v1dzcPHfu3Pz8/IKCgvnz55u/Le20Hv45xX/z5s0jR47MycmR9dOmTautrbXvS16Ck01syUugXMLY5v+kuy+pyZ5TDCkxuBz7Ada4ceO2bNnS0NBw/Pjx8vLySZMmua+3WrNmzZAhQ95tIQtr1651Xw//nOI/evToTZs21dXVnT17dunSpXKHsu9LXoKTTWzJS6A8w+gywCI1wXGKISUGl2M/wLKSmt2lSxfP9eZ9atiwYfIOMZZlobS01H09MuOUF7k3de7c2XxJXkKQQWzJSzg8w2gfYJGaEPiJISUmsRI0wKqsrBw1apTnevPqz8vLO3nypLF84sSJ/Px89/XITMq8nDt3bvny5dbHPvISggxiS17C4RlGlwEWqQmOnxhSYhIrKQOsXbt29e3bd+/evT7Xi7Zt2zY1NRnLstCuXTv39chAyvgbXyjp0aPH/v377buQl+BkE1vyEijPMLp8REhqguMZQ0pMkiVigLVt27aSkpLt27f7XG/g8SJoLvGvr69fsmTJiBEj7H9FXoKTTWzJS6AymMHy3JfUZM89hpSYhIv/AGv9+vU9e/bcuXOnz/UmPiAPlGf8ZYyV8rtZ5CU42cSWvAQqg+9gee5LarLnEkNKDGI+wFqxYoU8QOzZs8fn+suW+9Tq1atT/lMOp/Xwzyn+U6ZMqaqqampqOnLkyMyZM1N+B4u8BCeD2JKXcHiG0eU7WKQmOE4xpMTgcuwHWG1sGhoaXNZftlz9zc3Nc+bMyW8xb948639SknI9/HOK/8aNGwcPHtyxY8fi4uLy8vLTp09bdzEWyEtwMogteQmHewqsrOvd9yU12XOKISUGl2M/wAIAAAgfAywAAADNGGABAABoxgALAABAMwZYAD7m9Au16f4qrZ8f7XbZ/bKPHzB22d3pS98AECbuPgA+5vQLten+Kq2fH+122d3kPjxy2p1BFYAo4E4EIAXrL9Rm8z8iKj/abZXNf57psjsDLABRwJ0IQArWX6jN+Dc97D/abZXNz7+47C57de/eXUZ1AwcOXLVq1cWLF73OFQD0Y4AFQKX8Qm1mv0rr/qPdnrtf9hpgue9+/vz5HTt2lJaWzp492/VcASAQDLAA/Bf7L9RmPIOl/Gi38sXzdGew0t1dVFdX81u5AK4IBlgA/l/KX6jN5jtYTj/a7Wf3zL6DZVVTU1NYWOhyEAAICAMsAB9z+oXadH+V1uVHu/0c1uQ+wHLavaysbPfu3RcuXJA+jB07dtasWenGAQCyxwALwMecfqE23V+ldfnRbqsMfsDYz+5G6zk5Of369auoqGhsbNQVHwDwjwEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANGOABQAAoBkDLAAAAM0YYAEAAGjGAAsAAEAzBlgAAACaMcACAADQjAEWAACAZgywAAAANPtfLWgyvENAmJ4AAAAASUVORK5CYII=)
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