Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit311-12-20020705_165600_20020705_213600-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2002/07/05 |
Start Time | | 2002/07/05 16:56 |
End Time | | 2002/07/05 21:34 |
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 | | -30.51 |
Dipole Tilt, in Y-Z GSE plane, deg | | -1.87 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.50000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit311-12-20020705_165600_20020705_213600-constBx0 |
Minimum Dst Value | | -8 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAVGh1IEZlYiAyOCAyMjo1NzoxNyBFU1QgMjAxOQE8HfwAAAHLdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzMTItMDEtMjAwMjA3MDVfMjEzNjAwXzIwMDIwNzA2XzAyMjAwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIFBvbGFyIHRyYWplY3RvcnkuIiwgCiAgICAieGF4aXMiOiB7ICJsYWJlbCI6IiIsICJtaW4iOiIyMDAyLTA3LTA1VDIxOjM2OjAwLjAwMFoiLCAibWF4IjoiMjAwMi0wNy0wNlQwMjoxODowMC4wMDBaIiwgImxlZnQiOjc4LCAicmlnaHQiOjcyMiwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiJVVEMiIH0sCiAgICAieWF4aXMiOiB7ICJsYWJlbCI6InJobyIsICJtaW4iOjEuOTY0Mjc0OTk5NSwgIm1heCI6MTIuNTUxMjI1MDAwNSwgInRvcCI6NTIsICJib3R0b20iOjIzNSwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfWSv/jQAAAAEZ0FNQQAAr8g3BYrpAAAg6ElEQVR4nO3de3BU5fnA8cg1kDZNIIUmkkCkWOkIVUY7IAEBAaUURXsLcpfatIqjbbnKxdKLtJ3CWIcKlqYdZ1ABO5jRAp2OlXZKrYyUoaVCgyD3cpVAgoIIye+ZnPmdOe6ec/aczdnNu/t8P38wZ0/Onvd93ufsPs9uNmxOEwAAACKV09oTAAAAyDY0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMdUNVk6O6vABIDmpePJ84403+vTpk/DMqRjaqFpg1GTQEqoT6XUdc30DgI9UPElWVFRs2LChVYY26jk//ZMxKvxsonpZw75U2rhx49ChQzt27FhcXDx16tQTJ044j7Q4j9+8efOIESNyc3Pl+BkzZpw5c8Z1lMbGxjlz5hQUFBQWFs6bN09u+p82htcoXqf12h/2PDkfl5+fH+p4n4j8l871DD6p2blz5+jRo/Py8kpKSqqrq5NbnIxeea9FcBV2klEtQqiVT4WYK8pe3muuuaZ79+6VlZVHjhzxuXsS8z9+/PhDDz3Uq1ev9u3by73uuusuuYxdJxOzUzY+//nPO4eQ7b59+zoPsH+0Z8+e++67r0uXLh06dLjlllteeukla/+5c+dknn369OnUqZOMfs8997z22msJ5xw/maQPiCdX8qVLl1o+dBJS2mHY15JcSFOmTPEqBJFMJp2tEm1ZQqoXKOxzxPDhw+UFVl1dXX19/ZIlS6Su+B8/atSoTZs2NTQ0nDx5sqqqauzYsa6jrFq1asCAAe82k43Vq1eHmqfXKF6n9dof9jxOy5cvnzVrlv/xoR6NCZcuYGpqa2tLS0vXrFlz9uzZQ4cOTZgwIbnFCTVJ01beaxFchZ1kVIsQauVTIb7BsjauXr167Nix73//+xUVFT53Dzv/o0eP9uzZU067e/fuDz74QIruq6++euedd7pOJmanbEir9Morr9g/evnll2VPfIO1d+9eKeq/+MUvJO/Su7z55ptf+cpXrB/JWA8++KAc8OGHH546dWrdunW33367/5xdJ5P0AUnfJRMbLGtDkv61r33t/vvvT91kaLCMkp0LJE8ljz76aPdmsmG/KpILQgpSjx495FWpdfNnP/tZt27d5OXdww8/LE809mFNH3+fIH4IqSidO3eO2elzwUnhz8vLc/3RoEGDpERZ27IxePDg4Kf1GcXrtAmHC3gem6xbeXm5PHf4H5/0o9F16XzO5kyNNBMrVqyIP6Yli5NwkqatvNciuAo7ybCTb+HKf/TRR4sWLSorKysoKJC+wdrp83hfuXKl9DG5ubkDBw7ctWuXtf+11167+eabZaf8yOqE4h/sMRfYuXPnOnXqJBvf/va3f/vb39r7q6urZY///F2v1QceeGD+/PmuMXrdxTm39evXO4eQ6F566aX4yUst//GPf+w6hIQjQXlNwDmoz5Nkk8fi+z95hr1L/PO2a1q9LgMnebEhLabEkp+ff++9954+fTpIOP6DygUgJ5TjZaH8EyfkdUjXrl0TjpVwts4FcQ4Ufxk7j0wYvryc+NGPftSrV6/CwsLp06dfuHDB2h//uIsfK0jZHTJkyIsvvmhPWPr+4uLiINdhhsrOBksuhZEjRx5pNnz48MWLF1v7JdP33HOPvB61b8phR5vJxg9+8AN7f8xGDLnsli5dmvBtFaeampphw4a5/kiudftCl5eScgUHP63PKF6nTThcwPPYpETJQzFhOBJFUVGRtD433njjL3/5yytXriQRlC1gauShLheDPIblOWXKlCl1dXX+kwyyOAknadrKey2Cq7CTDDv5Fq68tAsyxL59+86ePfvYY49ZO30e7+PHjz9w4IBcFUuWLLE7ElmK3//+91IA5Pl9xowZ9sHOgZwl5/jx43PnzrXe4JEOY+jQoevWrZPttWvXyvbly5f95+96rcocpNq5xuh1F+fzksyqT58+f//73+Xmli1bZFv2xD9xSer379/vOsSYMWO+/vWvb9269YMPPvCaRlOAJ0mfxfc6Z9i7xD9vu6bV67RO/fv3f/311yVkKeozZ8785je/GTwc10EXLlwoK3ms2ejRo0M1WAnXwWe2zgXxGiv+yIThL1u27I477nj33Xfl8TVp0qTvfe971n7Xx13MWEHK7h//+Me+ffvKtWr9SB59P/3pT+OjyBrZ2WBdd911b7/9trUtLzV69+5tbUumDx48aB8mN+3D/vOf/zgPi9lwsnp2eUn3zjvvxP/IdT47duwoLy/3ej5t06aN9RwtZKNt27YBT+s/itdpEw4X8DwWeahcf/31u3fvDhiOVLW33npLnp7sR2mooGwBUyOjy9PEyWaVlZXTpk3zn2TCxQkySdNW3msRXIWdZFSLEHDlP/vZz9pvHth8Hu/SG1nb77//vvUWlCgtLX366acPHz7sPEl8ZXKSF/TyFGH96MSJExLpvHnz5F/7035hr5x27do5O5v4Nx7i7xLz02efffbuu+9uav5l369//ev4A6xRLl686DqB8+fPS0X8whe+kJubKws4a9Ys1zcSEj5J+iy+V+xh7xL/vO2aVq/TepEV6NGjR/BwvAbds2ePtS139E+cNBmVzZJYh5jZOhfEdayER7qGf8MNN/z3v/+1tuXa7tmzp7Xt+riLGStg2b311luff/75pubfX8sEZDFdp5cdsrPBkqcM+2lFNuSmtS2ZjvkIuddhMRsx5NJ84oknhgwZErPf9Xh5fVlWVrZt2zbnYc4n07DvYMXc3WuU5N4qCH4ei7yIHzdunHNPkLciDh06FOTNofjJ2AKmRiYjc7C2pb0oKiryn2QS72CZv/Jei+Aq7CSjWgSfNz6dV7vzoW3zebw7D7Nv/vOf/xw/fnzXrl379Olj/17P62BrPgsWLHB+5lJencsB9u8ofebv5TOf+YzPy4b27dvH/IZL4pIeznmYHFBcXPzCCy/Iv/Zv2WLO4/MOlk2eEqVzmjp1quuHRBM+SQZcfKewd4l/3o75qf9pneTVneRR2mXrorL74LDhOI+3MyXH+7zws177TZw40X4wJhzLZ7Zef0URP0/nkQnDl8bR+brCvuRcH3cxYwUsuzU1NZ/73OeuXLkyYcIEeZ3jGkXWyM4GK+ArA+eLM9mIPyzmN9xOUsiDfDBIqmBJScn27dt9Ztvyz2C5jpLEh11Cncdy0003bd26NVQ44siRI/LUn0RQNp81caamoqJCWgprW16Q2b1FVJ/ByoiV91oEV2EnGdUiBFx5aYlCvYPlPCzmpjzp/+EPf5BGx7oZ/3EW5836+nr7TYudO3fKK+8NGzZce+219nulYa8caWjmzZsXs9MetG/fvm+++abzR//4xz969eoVc9jSpUvbtWtn/5IlvsG6//77n3zySf+ZWOrq6j75yU/G70/4JOm1+D5Pnkm8gxXkZpB3sGTnc889995770mBl3/jVyzstRTqHawYCcdKONt4/pdxwhNK63PgwIH407o+7mLGCrh08rjr16/f7Nmz5Xq2P9KXrbKzwZKXm/Yvg6VhX7hwobU//kEyevRo6+MFshH/K/BPf/rTzl/BTJ48WW5evnz58OHDM2fOTPgZrGXLlsnLevvh52XlypUt+StCr1G8Tuu1P+x5mpr/c4Tbbrst4PGVlZXyqJNHlKyhZOeRRx5JIihbzJp4paa6ulpeMtq/HbM/sRR2cUJN0rSV91oEV2EnGdUiBFz5n/zkJ8OGDdu/f7/zsyDBH+/WhiyCVAK5FKXBktbQ2hnzYHfe98yZM4sWLRo4cGBT84f8pDz89a9/le1XXnnl5ptvtn7T5zN/18fvwYMHZWj7rwglnFdffdU+8le/+pWM8pe//OV8sy1bttx4440///nPfU7Y5NZg7d27VzrI5cuXy8pcunRp27Zt9l8R3n777evWrZOGWx41MueqqqoxY8a4ntP/SdJr8WPW0ylgvrwW0Oum12mdZDVefvllWQq5hGQp4lcs7LUkx9ufwbrzzjtDNVgJx0o423g+l3GQEz711FMyJTmDPDr+/e9/f+Mb37D2uz7uYsYKnlZ5SSY7f/Ob3wRZpYyWhSE1Nb8/KfXb+nMG2bDft4x/kFh/IFNYWPid73wn/o84pHgUFBTYN9evX9+/f/8OHTqUlpbK85G8AnCeysl1p2hoaIifrXT00s4XNJs7d67r/4PlPG0Mr1G8Tuu1P+x5mprfGqmpqQkYjrV6HTt2lFc28lD0+mhIwqVzXROf1EhJKCoqkhRLE2Z/vjvs4mT0ynstgquwk4xqEQKuvHQDjz/+eI8ePSQW6RusncEf79bGiy++KK/Uc3NzpT16/fXXrZ0xD3ZnRF26dLn77rv37dsn+6dMmWJ94Mkic7AaVv9HsWsshw4deuCBB6TNateuXdeuXe+999433njDXo3f/e53t9xyy6eaycZzzz2X8IQ5bgVYSqCcWWYlj45bb73V/n+w/vznP8t+WUZZh/Ly8ocfftj5qHGe0/9J0mvxY9bTKWC+vOL1uul1Wid5ZSKpb9++vbwqePrpp+NXLOy1JAd861vfksWRJfrhD38oZ044/+DrkHC28eIv41DhX716VfbfcMMN8kQtLb79JOP6uIsZK3ha5SLs06fPRx99FGSVMloWhgQAiERWlr0U+de//iWtamvPIrQrV65Ii5/OEceNG/fCCy+kc8TWwoMHAOCOBiuhxx577Pjx4wcPHrzjjju++93vtvZ0QnvrrbfsvxZMtatXrz777LP9+vWz/6eG7MaDB60p/hdMBj6hZ8Qkw8rKoBA5roqEnnrqqR49enTr1u3BBx/MxP904BOf+MQzzzyTnrHkcurVq5e0dOkZrtXx4AEAAIgYDRYAAEDEaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARExLg+X6R+kAACDNWrsjSBM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjg2K0/XvCzZv3jxixIjc3Nzi4uIZM2acOXMm6ZNHMUcAAJA8PeXYuDhjln7UqFGbNm1qaGg4efJkVVXV2LFjIzktAABIPz3l2Lg4fZa+vr4+Ly8v8tMCAID00FOOjYvTZ+lramqGDRsW+WkBAEB66CnHxsXptfQ7duwoLy+vra31vy//dSwAAMbSU46Ni9N16bds2VJWVrZt27ZoTwsAANJJTzk2Ls74pV+7dm1JScn27dujPS0AAEgzPeXYuDhjln7ZsmVlZWV79uxJeGSo0wIAgPTTU44NitP1I1PxH6VqaGiwfxTq5NHPGAAAhKGnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHGdznK7fHg0AAFqLnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrFBceb8P+fOxsbGOXPmFBQUFBYWzps3T24mffIo5ggAAJKnpxwbF2fM0q9atWrAgAHvNpON1atXR3JaAACQfnrKsXFxxiz9oEGDNm3aZG3LxuDBgyM5LQAASD895di4OGOWPj8///Tp09b2qVOnCgoKIjktAABIPz3l2Lg4Y5a+TZs2ly9ftrZlo23btv739ZHCSQMAgAD0lGPj4uQdLAAAspWecmxcnHwGCwCAbKWnHBsXZ8zSr1y50uuvCEMlSU9GAQAwlp5ybFCcrh+ZamxsnD17dkGzuXPnOv8fLBosAAAyi55yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynM1xun57NAAAaC16yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrHpce7fv//LX/5yQTPZkJvJnUdPRgEAMJaecmx6nIMGDVqwYEFds/nz58vN5M6jJ6MAABhLTzk2Pc7OnTvX19db2+fPn5ebyZ1HT0YBADCWnnJsepxf/epXFy9efO7cubq6uoULF8rN5M6jJ6MAABhLTzk2Pc6jR4/27Nkzp5lsHDt2zOfgHF9pmzMAAHClpxybHufIkSPnz59vfwZLbiZ3Hj0ZBQDAWHrKselxdurUic9gAQCQHfSUY9PjHDRo0MKFC613sB5//PHBgwfbPwqVJD0ZBQDAWHrKcfRxXrx4UVqi3r175+bmyr+LFy++dOlS0mfbu3fvXXfd9almY8aM2bdvn/0jGiwAADKLnnIcfZyPPPLIiBEjdu3aJZ2W/Dt8+PBHH3008lHC0pNRAACMpaccRx9n9+7djxw5Yt+UbdkT+Shh6ckoAADG0lOOabAAAECa6CnHKfkV4ciRI99+++2LFy/Kv7LNrwgBAECTpnKckg+5L1iw4LrrrsvNzZV/Fy1a1JIPuUdFT0YBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx9HHuWvXrsGDB3fq1Mmo7wE0YQ4AACinpxxHH+fAgQOXLFny/vvvR37mltCTUQAAjKWnHEcfZ25u7oULFyI/bQvpySgAAMbSU46jj7Nnz54HDhyI/LQtpCejAAAYS085jj7OZ555Zvz48cePH4/8zC2hJ6MAABhLTzmOJs6cRCIZpYWzapU5AAAAm55yrCZONRkFAMBYespx9HFec801kZ+z5fRkFAAAY+kpx9HHee211/7vf/+L/LQtpCejAAAYS085jj7O5cuX33fffQcPHmxsbIz85EnTk1EAAIylpxxHH6c5H3KPmVVrTwEAAO30lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lOMMiHPnzp2jR4/Oy8srKSmprq5O7iR6MgoAgLH0lGPT46ytrS0tLV2zZs3Zs2cPHTo0YcKE5M6jJ6MAABhLTzk2PU7pqFasWNHy8+jJKAAAxtJTjk2Ps3v37osWLSouLu7SpcuUKVPq6uqSO4+ejAIAYCw95dj0ONu2bTtp0qSTzSorK6dNm+ZzsOv3TJvzhdMAACinpxybHmd+fv6pU6esbemxioqKkjuPnowCAGAsPeXY9DgrKiqkr7K2T5w4QYMFAEDm0lOOTY+zurp64sSJ9q8Ip0+fbv8oVJL0ZBQAAGPpKccZEOfixYuLiooKCwsnT57s/JA7DRYAAJlFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5jhzPq61pwMAgHZ6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynFmxHn69OnS0tKWZEVPRgEAMJaecpwZcT700ENPPvkkDRYAABlNTznOgDh3797du3fvixcv0mABAJDR9JTjDIjzS1/60vPPP9/UsqzoySgAAMbSU45Nj/NPf/rTF7/4xcbGxqYAWcnxlZb5AgAAT3rKselx9uvX729/+5u1zTtYAABkND3l2PQ4o3ojSk9GAQAwlp5ynElxxmQlVJL0ZBQAAGPpKceZFCcNFgAAGU1POVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJvjzPm41p4OAADa6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecqwmTjUZBQDAWHrKsZo41WQUAABj6SnHpse5efPmESNG5ObmFhcXz5gx48yZM8mdR09GAQAwlp5ybHqco0aN2rRpU0NDw8mTJ6uqqsaOHZvcefRkFAAAY+kpx5kUZ319fV5eXnL31ZNRAACMpaccZ1KcNTU1w4YNS+6+ejIKAICx9JTjjIlzx44d5eXltbW1Psfk+ErbVAEAgCs95Tgz4tyyZUtZWdm2bduSPoN/7wUAANIjwvbAZBkQ59q1a0tKSrZv396Kc0jPBZG2yy6bwsmmUdI2EKMYOxCjGDsQo5g8kJlMD37ZsmVlZWV79uyJ/1E6M8dFzyhpGCVtAzGKsQMxirEDMYrJA5nJ9ODj31psaGiwf5TOaWTNKGkbiFGMHYhRjB2IUYwdiFFMHshMqoMPjoueUdIwStoGYhRjB2IUYwdiFJMHMpPq4E2j/Fo0GakxFqkxFqkxFqlJD1bZIFz0xiI1xiI1xiI1xiI16cEqG4SL3likxlikxlikxlikJj1YZYNw0RuL1BiL1BiL1BiL1KQHq2wQLnpjkRpjkRpjkRpjkZr0YJUBAAAiRoMFAAAQMRosAACAiNFgAQAARIwGCwAAIGI0WAAAABGjwQIAAIgYDVaqbN68ecSIEbm5ucXFxTNmzDhz5oz/fqfGxsY5c+YUFBQUFhbOmzdPbvrvRyheKdi4cePQoUM7duwo+6dOnXrixIn4+5KalGrJ8pKalPJZxpz/F/a+pCYSXstIrWl1NFipMmrUqE2bNjU0NJw8ebKqqmrs2LH++51WrVo1YMCAd5vJxurVq/33IxSvFAwfPnzDhg11dXX19fVLliyR56b4+5KalGrJ8pKalEq4jD4NFqlJKa9lpNa0OhqsdJCCnZeXl3C//Qw1aNAgeWBY27IxePBg//1Imldq5Fmpc+fO9k1Skx5JLC+pSY+EyxjfYJGa9AiyjNSaVkGDlQ41NTXDhg1LuN++6PPz80+fPm1tnzp1qqCgwH8/kuaamgsXLixdutT5go/UpEcSy0tq0iPhMvo0WKQmpYIsI7WmVdBgpdyOHTvKy8tra2sD7hdt2rS5fPmytS0bbdu29d+P5LimwPo0Sbdu3d555534u5CalGrJ8pKalEq4jD6/IiQ1KZVwGak1rYUGK7W2bNlSVla2bdu2gPstvKpIA58UnD9//oknnhgyZEj8j0hNSrVkeUlNSiXxDlbC+5KaSPgvI7WmFdFgpdDatWtLSkq2b98ecL+N34unWsIUSI/l+tksUpNSLVleUpNSSXwGK+F9SU0kfJaRWtO6aLBSZdmyZfK6Yc+ePQH3NzmeoVauXOn6Fxxe+xGKVwomT568e/fuy5cvHz58eObMma6fwSI1KZXE8pKa9Ei4jD6fwSI1KeW1jNSaVkeDlSo5cRoaGnz2Nzku+sbGxtmzZxc0mzt3rvP/JnHdj1C8UrB+/fr+/ft36NChtLS0qqrqvffec97F2iA1KZXE8pKa9PBPgZNzv/99SU0kvJaRWtPqaLAAAAAiRoMFAAAQMRosAACAiNFgAQAARIwGC4ApvL6eNuxX0gb5mlufu8d8NDg/Pz/U3cXOnTtHjx6dl5dXUlJSXV0dyeIAyCw0WABM4fX1tGG/kjbI19z63N1p+fLls2bNCnX32tra0tLSNWvWnD179tChQxMmTGjJmgDIUDRYAEzk/Hralvx3iF7f5x3k7h9++GF5efnRo0dD3V06qhUrVgQIEUA2o8ECYCLn19O25As9vL5qPcjdV69ePX36dK8Zet29e/fuixYtKi4u7tKly5QpU+rq6hLFCiAL0WABME7M19Mm/ZW0Pl9zm/DuV69evf7663fv3u01Sa+7y8akSZNONqusrJw2bVqwoAFkFRosAGaJ/3ra5N7Bij9PzP827n/3tWvXjhs3zrkn4N1lv9y0tqXHKioqCr8GADIeDRYAg7h+PW0Sn8FK+DW3/ncXN91009atW5O4e0VFhfRV1vaJEydosACdaLAAmMLr62nDfiWtz9fcBjmt2Lhx42233Zbc3aurqydOnGj/itDnU1wAshgNFgBTeH09bdivpPX5mlsnn2+0raioqKmp8Z+tz90XL15cVFRUWFg4efJkPuQO6ESDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIjRYAEAAESMBgsAACBiNFgAAAARo8ECAACIGA0WAABAxGiwAAAAIkaDBQAAEDEaLAAAgIj9H4bSatyeN7oxAAAAAElFTkSuQmCC)
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