Global Magnetosphere Real Event Analysis from Runs on Request     (VMR Tools)
Analysis of Run: orbit389-02-20030105_072000_20030105_120500-constBx0 | |
Satellite Data Available |
Data-Model Comparison |
Model on Satellite Track |
Run information: |
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View standard CCMC run page. | ?? |
Event Date | | 2003/01/05 |
Start Time | | 2003/01/05 07:20 |
End Time | | 2003/01/05 12:03 |
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 | | 25.31 |
Dipole Tilt, in Y-Z GSE plane, deg | | 4.70 |
Update Dipole Orientation with Time | | no |
Inflow Boundary R_E | | 32 |
F10.7 | | 143.20000 |
Conductance Model | | auroral |
Corotation | | |
Run Number | | orbit389-02-20030105_072000_20030105_120500-constBx0 |
Minimum Dst Value | | -9 |
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,iVBORw0KGgoAAAANSUhEUgAAAyAAAAEsCAIAAAC0T0BtAAAAEXRFWHRTb2Z0d2FyZQBBdXRvcGxvdGfxHnYAAAAqdEVYdENyZWF0aW9uIFRpbWUAV2VkIEphbiAwOSAxMTo1NTo1OSBFU1QgMjAxOXRlGBAAAAHOdEVYdHBsb3RJbmZvAHsgInNpemUiOls4MDAsMzAwXSwKICAibnVtYmVyT2ZQbG90cyI6MSwKICAicGxvdHMiOiBbCiAgewogICAgInRpdGxlIjoib3JiaXQzODktMDMtMjAwMzAxMDVfMTIwNjAwXzIwMDMwMTA1XzE2NTEwMC1jb25zdEJ4MDogR1VNSUNTIHBsb3Qgb2YgcmhvIGFsb25nIENsdXN0ZXItMSB0cmFqZWN0b3J5LiIsIAogICAgInhheGlzIjogeyAibGFiZWwiOiIiLCAibWluIjoiMjAwMy0wMS0wNVQxMjowNjowMC4wMDBaIiwgIm1heCI6IjIwMDMtMDEtMDVUMTY6NDk6MDAuMDAwWiIsICJsZWZ0Ijo3OCwgInJpZ2h0Ijo3MjIsICJ0eXBlIjoibGluIiwgInVuaXRzIjoiVVRDIiB9LAogICAgInlheGlzIjogeyAibGFiZWwiOiJyaG8iLCAibWluIjoxLjEyMTQ0OTk5OTUsICJtYXgiOjYuMzk1OTUwMDAwNSwgInRvcCI6NTIsICJib3R0b20iOjI0OCwgInR5cGUiOiJsaW4iLCAidW5pdHMiOiIiIH0KICB9CiBdfTvyReUAAAAEZ0FNQQAAr8g3BYrpAAAhQUlEQVR4nO3de3AV9fn48SiXBNLyTSAlTSQRTJlKB+joqIPDRYiAF1pF27Gh3KU2LcJILwqWW9NWaDuFEYeC1qYdZ0ABO8hogY5jpR1bKwNlaKmhiAohtoRrhKCBCMnvmez8dk73dnYPm8PnnOf9+oPZs2d3P/t8nt19PnvOhpPTDgAAgFjlXOkdAAAAyDYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYpadA6ycnOyMCwA6VWdcPN98882BAwcm3XJnNH2lagE1CO3aBlgc9AAQoDMukiNGjNi8efMVaZoBVoyyMqhOlZ39FfVWaevWraNGjcrNzS0pKZk+fXpjY6M1/7333vvSl75U0EEm5KU1v6mpadq0ab179y4qKlq6dKlfK21tbY899pisW1hYuGDBAnkZ3JzD9u3bKysr8/LyZLFZs2adPHkyeLNRm/Nb3uofS5hwcv5XYMf7bjxqsGLv3r3jx4/Pz88vLS2tra1NrXPoeb+eDNh4pJ2M1POdwW/nr7rqquLi4qqqqoaGhoDVU9j/o0ePzp49u3///t26dZO17rzzTjkSPHfGMVMmvvCFLyQ2IdODBg1KXMB+a//+/ffff79chbp3737TTTe9+OKL1vwPP/xQ9nPgwIE9evSQ1u+9997XXnst6T67dyblBdx69ep1/vz5y286BZ09JvDLQmrtxrW3Sa8J6RwqaR6WZWfkUa8RY8aMkRssGTadPXu2pqZGiqs1/9Zbb124cGFTh8cff1xeWvNnzJgh1+XGDg888MBvfvMbz1aefvrpG2+88f0OMvHss88GN+cwbty4bdu2NTc3Hzt2rLq6esKECcGbjdqc3/J+veS3fCyXkqjBHjhwoKysbN26dadPn66vr580aVJqneNJVc/79WTUkyiWnu8M7gGWNXHp0qX//Oc/3/ve90aMGBGwetT9/+CDD6699lrZbF1d3ccffyyj81deeeWOO+7w3BnHTJmQIv3yyy/bb7300ksyxz3Aeuedd2R0+Itf/EJSJmOXt9566ytf+Yr1lrT10EMPyQIXLlw4fvz4xo0bb7vttuB99tyZlBdIeZWMG2AFZOHKDrCSbo0BVnpkWORyED/yyCPFHWTCviuSFK5cubJfv35yV2q9/NnPfta3b1+5sXj44YflQmMv1v6/t+buJqSs9uzZ05qWCSmN1vSZM2fs+X369JHSa03LGMvvAi0DMqnT1rRMDB8+PLi5ALIb+fn5wZuN2lzS5R3947d87JeSMMHKOGD16tXudS+nc1LemYzueb+ejFpoL7PnP/nkk8WLF5eXlxcUFEjFsmYGnO9r166VcUxeXt6wYcP27dtnzX/ttdduuOEGmSlvWSMh98nu2O0PP/ywR48eMvGtb30r8U6ptrZW5gTvv2cXPfjgg3IzFrLTHDNlYtOmTYlNSHQvvviie+e//vWv/+QnP/FsQsKRoPx2ILHRgItku0/nB188o67ivm57ptXvMEgk9wkyuJFYevXqdd999504cSJMOMGNygEgG5TlpaM84w3Igt/xZr8Mc6zKPcCPf/zj/v37FxYWzpw589y5c5795sfvFPY8KRI3mLQz/XbMfRa72wpTxEeOHPnCCy/YOyzj15KSkjBHtWkybIAlyRs7dmxDhzFjxixZssSaL7m599575X7UfimLfdBBJn74wx/a8x0TDnKgLF++3P7E4qtf/ao0IXltampatGiRvLTmywBLbg2taRlpycHkuTU5Ou1DU5Z3L+ZoLsCWLVtGjx4dvNmozSVd3tFLfsvLYkVFRTJ6GDx48KpVqy5evJg0HPfGowYrJ6ccDHLWyVVg2rRpkqDg5ZMGezk7k9E979eTSTcecidD9rwUKunnd9999/Tp0/PmzbNmBpzvEydOPHTokHRsTU2NPSKRKH73u9/JJVuuyLNmzfLcz8QicfTo0fnz51sf8MgIY9SoURs3bpTpDRs2yHRra2vw/nsew7IPUp88Y/RbJfG6JHs1cODAv/71r/Jyx44dMi1z3BcuyZr9xILDXXfd9cADD/zlL3/5+OOP/XajPcRFMqDz/bYZdRX3ddszrX6bTTR06NDXX39dQpbL9Zw5c77xjW+ED8ezUbngS0/+p8P48eM9QwjIQtIBVphjdcWKFbfffvv7778vJ8WUKVO++93vevabn4BMufcqcYNJO9NvxzzPYkdbYYr4H/7wh0GDBsmRb70l/fPTn/40OFgzZdgA67rrrnv77betabnVqKiosKYlN4cPH7YXk5f2Yv/6178SF3NMJLJG2XJLd/DgQWuO9Wm/NV8m7ONv6tSpkydPPtZBbmK6du3qubdXX321dY0WMtGlS5fg5vzs2bNnwIAB9lXbb7NRmwtevt3VS8HLy5Vi165dcnmyz6tgfid/yGBlQk5sKwVVVVUzZswIXj5psJezMxnd8349mXTjIXcyZM9/7nOfsz88sAWc7zI2sqY/+ugj6yMoUVZW9tRTTx05ciRgP3P+l9yCyyXCequxsVHSvWDBAvnXfmAu6pEjV4PEkY37owL3Ko53n3nmmXvuuae948u+X/3qV+4FrFZaWlo8d+DMmTNSw774xS/m5eVJB37/+9/3vPVPepEM6Hy/2KOu4r5ue6bVb7N+pAf69esXPhy/Rvfv329Ny4qeIQRkIekAK8yxev311//73/+2puWAlBpkL5bYb34iDbD8NujZmX475nkWO9oKWcRvvvnm9evXt3d8Dys7IKnxi8VkGTbAkkuGfUDLhLy0piU3jieF/RZzTDjIwbR06dKRI0daL2Wg/fjjj9vPYMlLa/6pU6dkXCWXZrmDeeKJJz772c/am028mCa9d3c051jdInex5eXlO3futOek/FGBo7m4PkdJJHdjIT8c8kxBpGATP0QsKipKunzUT7CU9LxfTybd+GV+guU42hNPbVvA+e65J3//+98nTpzYp0+fgQMH2t/r+S1s7c/ChQsTH4KU+2lZwP6OMmD//cjVwP0Jlt1ot27dHN9wSVwyhktcTBYoKSl5/vnn5V/7WzbHdgI+O7HJJVFGTtOnT/f8jDzpRTJk5yeKuor7uu14N3izieQ2QPIo12TroLLHwVHDSVzezpQs7xnC5XyCFeZYldFe4s1A4nGS9C9j3FsLeMuxwaSd6bdjnmexo62QRXzLli2f//znL168OGnSJBmJ+gViuAwbYIW8Q0q8OZMJ92IBX11LLbSfuZHDyPMZrES//OUvZbDluakwT58kNue2YcOG0tLS3bt3h9ls1ObiehIoUUNDg1x0/MIJ2Hh7xGBHjBiR+BicPSyI6xksPT3v15NJNx5yJ0P2vJSZSJ9gBeyJXKZ///vf27c9jpPdsbCc4PaHFnv37pV75c2bN19zzTX2x41RjxwZ0CxYsMAx02500KBBb731VuJbf/vb3/r37+9YbPny5V27drW/FnFXa7nmLFu2LHhPLHJz+OlPf9o9P+lF0q/zAy6eKXyCFeZlmE+wZOZzzz0nt75SkuVfd49FPZbCfIIVkIXEgZr96cvRo0cjHasywjh06FDAxoMFLBZ8UiTtTL8d8zyLHW2FTIT0zJAhQx599FE5O+wHBDNOhg2w5HbT/vpWhtiLFi2y5rtPkvHjx1uPF8iE+1GAz3zmM3V1dfbyU6dOlZetra1HjhyZM2eOfcMn11ZpwvoE6wc/+IF9bZ08ebLsgMx84YUXysrK7A9LHdauXev590d+zTmsWLGivLzcPsmTbjZqc37LJ3ZjmHarqqrkPJFzQFqR7MydO9cznOCNRw22trbW/pZWdmDmzJmpdY4nVT3v15NJNx5yJ0P2/BNPPDF69Oj33nsv8emN8Oe7vc9y7ZZ9lqIl42NrpuNkT1z35MmTixcvHjZsWHvHc3JyQf/zn/8s0y+//PINN9xgfdMXsP+eBezw4cPStP1XhBLOK6+8Yi8p92PSyp/+9KczHXbs2DF48OCf//znARts9xpgvfPOO1KVV65cKT1z/vz5nTt32n+/dtttt23cuFHGynLgyT5XV1ffddddntsMvkj6db6jPxOFzJdfB/q99NtsIumNl156SbpCDiHpCnePRT2WZHn7Gaw77rjDM4SALNjLS9WoqamRo0tycc8990Q6Vp988knZZ5kji/3zn//82te+FtyfDgGLBZwU7SE602/HPM9iR1vhDxK5y5WZv/71r0MGZaBM2tf2jk8U5UJv/QGCTNifNLpPEusPZAoLC7/97W8n/p2CNSEVtKCgwH65adOmoUOHdu/eXUZLcj2SMbs1X86fO++88/86yMn27rvvWvOlJskp0bNnz3Hjxu3Zs8dvb2UMLgNw67/Rmj9/vv35p19zDjkuzc3NAZuN2pzf8u6mw2w/NzdX7kXk5PF7KCF441GDbe/4NqeoqEhSLOMY+9HsqJ1Dz/v1ZMDGI+1kyJ6X0YDcw/Tr1092QyqWNTP8+W5NyA2P3Fvn5eXJ8Oj111+3ZjpO9sQ97927t9Q867yeNm2a9cCTRfbBGmsGJ8szlvr6+gcffFAuEV27du3Tp89999335ptv2r3x29/+9qabbrKuKjLx3HPPJd1gjqvCCSlasmXZKznAbr75Zvt/YPrjH/8o86UbpR8GDBjw8MMPe15hcpJdJP0639GfiULmyy9ev5d+m020detWSX23bt3k1uipp55y91jUY0kW+OY3vymdI130ox/9SLbsGYJfFuztyF2KjOCtvxZcs2ZNpGP10qVLEsv1118vp6GMy7ds2RLcn4lReJ7pNvdJEakz/XbM8yx2tBX+IJHOHDhw4CeffOIILTh2o2TSvgIAYpFZherK+sc//iFD1Su9F1fYxYsX/f6cq5N8+ctffv7559PZYuw4xwBAHQZYSc2bN+/o0aOHDx++/fbbv/Od71zp3bnCdu3aZf+1YGe7dOnSM888M2TIEPt/ashQnGPoFO5v2Qy8oGfETkaVlUEhdhwVST355JP9+vXr27fvQw89lKH/TUCMPvWpT61ZsyY9bcnB2b9/fxnSpae5zsM5BgAAEDMGWAAAADFjgAUAABAzBlgAAAAxY4AFAAAQMwZYAAAAMdMywPL823UAAJBmV3pEkCZq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxNsep80tfAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx9kcJ89gAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU44zIM69e/eOHz8+Pz+/tLS0trY2/Ip8RQgAgFH0lGPT4zxw4EBZWdm6detOnz5dX18/adKk1LajJ6MAABhLTzk2PU4ZUa1evfryt6MnowAAGEtPOTY9zuLi4sWLF5eUlPTu3XvatGlNTU2pbUdPRgEAMJaecmx6nF26dJkyZcqxDlVVVTNmzAhYOCdQ2vYZAAB40lOOTY+zV69ex48ft6ZljFVUVJTadvRkFAAAY+kpx6bHOWLECBlXWdONjY0MsAAAyFx6yrHpcdbW1k6ePNn+inDmzJn2W5GSpCejAAAYS085zoA4lyxZUlRUVFhYOHXq1MSH3JMmiWewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHGdznDyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5jj5ihAAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxNsfJM1gAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOszlOnsECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynM1x8gwWAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95Tib4+QrQgAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfZHCfPYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOTY8zrq/59GQUAABj6SnHpsd5mYMqnsECAMAcesqx6XHGlQk9GQUAwFh6yrHpcUomioqKevbsOXjw4FWrVl28eDHl7cS7YwAAICo95Tgz4jx//vyuXbuGDx8+b968gMVyAqVtbwEAgCc95TiT4qyvry8oKEhtXT0ZBQDAWHrKcSbF2dDQUFxcnNq6ejIKAICx9JRj0+Osqqrat2/fhQsX6urqxo4dO3fuXPutSEnSk1EAAIylpxybHuemTZuGDh2am5tbUVGxcOHClpYW+62kSeIZLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfZHCfPYAEAYBQ95VhNnGoyCgCAsfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5jh5BgsAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynM1x8hUhAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU42yOk2ewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHGdznDyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTznO5jj5ihAAAKPoKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5yrCZONRkFAMBYespxNsfJM1gAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOMyPOEydOlJWVRc0Kz2ABAGAUPeU4M+KcPXv2smXLLicrejIKAICx9JTjDIizrq6uoqKipaWFARYAABlNTznOgDjvvvvu9evXt19eVvRkFAAAY+kpx+mLs6WlZdGiRRUVFXl5efLvkiVLzp8/n3StV1999ZZbbmlra2sPkZWcQPGEAQAAUqWnHKcvzrlz51ZWVu7bt09GWvLvmDFjHnnkkaRrDRky5I033rCm+QQLAICMpqccpy/O4uLihoYG+6VMy5yka8X1QZSejAIAYCw95dj0AVYiR1aifmMYqS0AABA7PeU4rV8Rjh079u23325paZF/ZTrMV4SJog6wUl4YAAB0Bj3lOK0PuS9cuPC6667Ly8uTfxcvXhzmIfe46MkoAADG0lOO1cSpJqMAABhLTznO5jh5BgsAAKPoKcfpi3Pfvn3Dhw/v0aPHFRn06MkoAADG0lOO0xfnsGHDampqPvroo7S1mEhPRgEAMJaecpy+OPPy8s6dO5e25hz0ZBQAAGPpKcfpi/Paa689dOhQ2ppr5xksAAAMo6ccpy/ONWvWTJw48ejRo2lrMZGejAIAYCw95bhz4wz+9WUecgcAQBU95Tib4+QrQgAAjKKnHKcvzquuuiptbbnpySgAAMbSU47TF+c111zz3//+N23NOejJKAAAxtJTjtMX58qVK++///7Dhw+3tbWlrVGbnowCAGAsPeU4rY+Zp/khd57BAgDAKHrKsZo41WQUAABj6SnHauJUk1EAAIylpxyriVNNRgEAMJaecpzNcfIMFgAARtFTjtXEqSajAAAYS085VhOnmowCAGAsPeVYTZxqMgoAgLH0lONsjpNnsAAAMIqecqwmTjUZBQDAWHrKsZo41WQUAABj6SnH2RwnXxECAGAUPeVYTZxqMgoAgLH0lGM1carJKAAAxtJTjtXEqSajAAAYS085Nj3OrVu3jho1Kjc3t6SkZPr06Y2NjeHX5RksAACMoqccmx7nmDFjNm/e3NTUdPbs2ZqamsrKytS2oyejAAAYS085zqQ4m5ube/bsmdq6ejIKAICx9JTjjInz3Llzy5cvnzBhQmqr68koAADG0lOOMyNO6yGqvn37Hjx4MOliftK2twAAwJOecpwxcZ45c2bp0qUjR45MbXU9GQUAwFh6ynEmxSljrPz8/NTW1ZNRAACMpaccmx7n1KlT6+rqWltbjxw5MmfOnMRnsJImia8IAQAwip5ybHqcmzZtGjp0aPfu3cvKyqqrq0+dOmW/FSlJejIKAICx9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOc7mOHkGCwAAo+gpx2riVJNRAACMpaccq4lTTUYBADCWnnKsJk41GQUAwFh6ynE2x8kzWAAAGEVPOVYTp5qMAgBgLD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46zOU6ewQIAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccZ3OcfEUIAIBR9JRjNXGqySgAAMbSU47VxKkmowAAGEtPOVYTp5qMAgBgLD3lOJvj5BksAACMoqccq4lTTUYBADCWnnKsJk41GQUAwFh6yrGaONVkFAAAY+kpx9kcJ89gAQBgFD3lWE2cajIKAICx9JRjNXGqySgAAMbSU46zOU6+IgQAwCh6yrGaONVkFAAAY+kpx2riVJNRAACMpaccq4lTTUYBADCWnnJsepzbt2+vrKzMy8srKSmZNWvWyZMnw6/LM1gAABhFTzk2Pc5x48Zt27atubn52LFj1dXVEyZMSG07ejIKAICx9JTjTIrz7Nmz+fn5qa2rJ6MAABhLTznOpDi3bNkyevTo1NbVk1EAAIylpxxnTJx79uwZMGDAgQMHApbJCZS2XQUAAJ70lOPMiHPHjh3l5eU7d+5MeQt6MgoAgLH0lOMMiHPDhg2lpaW7d+++nI3oySgAAMbSU45Nj3PFihXl5eX79+93vxUpSXoyCgCAsfSUY9PjdD9K1dzcbL8Vad3O31kAABBETzlWE6eajAIAYCw95VhNnGoyCgCAsfSU42yOk68IAQAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHGdznDyDBQCAUfSUYzVxqskoAADG0lOO1cSpJqMAABhLTzlWE6eajAIAYCw95Tib4+QZLAAAjKKnHKuJU01GAQAwlp5yrCZONRkFAMBYespxNsfJV4QAABhFTzlWE6eajAIAYCw95VhNnGoyCgCAsfSUYzVxqskoAADG0lOOszlOnsECAMAoesqxmjjVZBQAAGPpKcdq4lSTUQAAjKWnHKuJU01GAQAwlp5ynM1x8gwWAABG0VOO1cSpJqMAABhLTzlWE6eajAIAYCw95VhNnGoyCgCAsfSU42yOk2ewAAAwip5yrCZONRkFAMBYesqxmjjVZBQAAGPpKcfZHGcOAAAwzJUeHaSJljgvU3oOCFoxtiFaoZXsaCVtDdEKrYBeCCWbDspsaiVtDdEKrWRHK2lriFZoBfRCKNl0UGZTK2lriFZoJTtaSVtDtEIroBdCyaaDMptaSVtDtEIr2dFK2hqiFVoBvYBOwQlmLFJjJvJiLFKD1HDcoFNwSTIWqTETeTEWqUFqOG7QKbgkGYvUmIm8GIvUIDUcN+gUXJKMRWrMRF6MRWqQGo4bdAouScYiNWYiL8YiNUgNxw0AAEDMGGABAADEjAEWAABAzBhgAQAAxIwBFgAAQMwYYAEAAMSMARYAAEDMGGAhlJz/L3Hm1q1bR40alZubW1JSMn369MbGRveKbW1tjz32WEFBQWFh4YIFC+Rl8HxE5Zkay4kTJ8rKyvz+Fx9S06k885LzvzxXJC+dza//9+7dO378+Pz8/NLS0traWveKpAaRMMBCBI5L0pgxYzZv3tzU1HT27NmamprKykr3Kk8//fSNN974fgeZePbZZ4PnIzWe1Xr27NnLli3zK+SkJg3cA6ykq5CX9HDk4sCBA3I3sm7dutOnT9fX10+aNMm9CqlBJAywEEFAeWhubu7Zs6d7yVtvvXXbtm3WtEwMHz48eD5S405NXV1dRUVFS0uLX40nNWkQfoBFXtLMkQsZUa1evTp4SVKDSBhgIQK/8nDu3Lnly5dPmDDBvWSvXr1OnDhhTR8/frygoCB4PlLjTs3dd9+9fv1691ukJp3cnV9UVCS3IoMHD161atXFixfdS5KX9HCkpri4ePHixSUlJb179542bVpTU5N7SVKDSBhgIQLPAZb1NEPfvn0PHjzofvfqq69ubW21pmWiS5cuwfORGkdqXn311VtuucV6FsRvWExq0sCz88+fP79r167hw4fPmzfP/S55SQ9HaqQ/p0yZcqxDVVXVjBkz3KuQGkTCAAsR+JXqM2fOLF26dOTIke63uOdLD0dqhgwZ8sYbb3i+ZSM1aRDwnWB9fb1n35KX9HCkRrpXetWaljFWUVGRexVSg0gYYCGCgGohY6z8/Hz3fJ5aSI/gv1bzTBypSYOAU6ahoaG4uNg9n7ykhyM1I0aMkHGVNd3Y2Og5wCI1iIQBFiJwXJKmTp1aV1fX2tp65MiROXPmeD6DtXbtWs+/r/Gbj9SEeXra8ZLUpIGj86uqqvbt23fhwgU5ccaOHTt37lz3kuQlPRypqa2tnTx5sv0V4cyZM91LkhpEwgALoXh+HLJp06ahQ4d27969rKysurr61KlTictbE21tbY8++mhBh/nz5yf+zzGe8xFV0k+q/AZYpKZTBZwyubm5FRUVCxcubGlpSVzemiAvnc3vlFmyZElRUVFhYaHcOno+5E5qEAkDLAAAgJgxwAIAAIgZAywAAICYMcACAACIGQMsJLd9+/bKysq8vLySkpJZs2adPHnSmh/1p0/D/Dh0wOrtgT9snHT1pA+DAwAQF8oMkhs3bty2bduam5uPHTtWXV1t/3cMUX/6NMyPQwesbgseHvmtzqAKAJA2lBxEI2Mj+z8UvZz/ds/x49CJkq4ePFTyW50BFgAgbSg5iGbLli2jR4+2plP+4Qj3j0MnSrp68FDJb/Uc/9/ZBQAgXgywEMGePXsGDBhw4MAB62VqP30a/OPQSVdvTzbACl49+Hd2AQCIBQMshLVjx47y8vKdO3fac1L+BMvx49COB8+jfoIVdfV2/9/ZBQAgFgywEMqGDRtKS0t3796dOPNynsHy+3HoMKun9gxWIr/f2QUAIBYMsJDcihUrysvL9+/f75gf9adPA34cOsxmbcEDLL/VA35nFwCAeDHAQnI5Ls3Nze3Rf/o04MehEwX8cmqY/8squHXP39kFACBeDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABixgALAAAgZgywAAAAYsYACwAAIGYMsAAAAGLGAAsAACBmDLAAAABi9v8AL3GL++e4ZlcAAAAASUVORK5CYII=)
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